Skip to main content
PLOS One logoLink to PLOS One
. 2023 Dec 22;18(12):e0295084. doi: 10.1371/journal.pone.0295084

Strategic human resource management practitioners’ emotional intelligence and affective organizational commitment in higher education institutions in Georgia during post-COVID-19

Roya Anvari 1,*, Vilmantė Kumpikaitė-Valiūnienė 2, Rokhsareh Mobarhan 3, Mariam Janjaria 1, Siavash Hosseinpour Chermahini 4
Editor: Rogis Baker5
PMCID: PMC10745210  PMID: 38134225

Abstract

The COVID-19 pandemic has significantly affected the global workforce, presenting unprecedented challenges to managers and practitioners of strategic human resource management. Pandemic-influenced changes in the employment relationship highlighting the need for adaptation in order to facilitate a return to pre-pandemic conditions. Crises such as this can have a detrimental effect on employees’ psychological contract, which in turn can hinder the organization’s ability to thrive in the post-COVID-19 era and impede the development of high commitment levels in the aftermath of the crisis. Emotional intelligence plays an increasingly vital role in effectively navigating the crisis and providing support to employees, while also facilitating the reconstruction of the psychological contract. Therefore, this study aims to explain the role of emotional intelligence of strategic human resource management practitioners on affective organizational commitment and the possible mediating effect of the psychological contract in that relationship. A quantitative study took place in February 2023 among 286 HR directors, HR managers, and HR officers in higher education institutions in Georgia. Partial Least Squares for Structural Equation Modelling was applied for data analysis. The results revealed that the emotional intelligence of strategic human resource management practitioners has a positive impact on the psychological contract and the affective organizational commitment. This study supports the idea that emotional intelligence can transform strategic human resource management practitioners into individuals who engage in people-orientated activities. These activities aim to effectively acquire, utilize, and retain employees within an organization. The study also suggests that emotional intelligence can provide solutions to maintain high employee commitment during times of crisis and in the aftermath of unprecedented situations.

1. Introduction

The workplace has experienced unparalleled effects due to COVID-19. This situation has unprecedentedly impacted the workplace, presenting managers and human resource management (HRM) practitioners with a complex and challenging environment. Initially, HR played a crucial role in managing the organizational response to COVID-19, including tasks such as workforce placement, work arrangements, and task completion [1]. The world is trying to recover from the COVID-19 pandemic and changes in employment relationships have already been seen [2, 3]. The current post pandemic situation presents an opportunity for strategic human resource management (SHRM) practitioners to demonstrate self-awareness and resilience in overcoming the effects of COVID-19. By integrating emotional intelligence (EI) competencies into SHRM activities, practitioners can effectively utilize and retain employees [46]. For example, the research conducted in Georgia, revealed that individuals with high EI can mitigate the impact of job insecurity on their affective organizational commitment (AOC), which becomes more critical in post-crisis situations. Additionally, Nordin [7] found that individuals with high EI possess better coping strategies compared to those with low EI. Therefore, it could be noted that organizations must not only rely on intelligence but also develop emotional stability to thrive in the future. A review of existing literature shows that numerous studies have already been conducted on SHRM in higher education across different countries [811]. First, previous studies have examined SHRM issues such as training, compensation, and performance appraisal, highlighting their significance among administrators and policymakers in Indonesia [11] Spain [9] Russia [12], and Saudi Arabian higher education. Additionally, according to Allui and Sahni [8], these studies underscore the scarcity of data concerning the link between faculty satisfaction and retention, which is a critical issue in higher education.

Second, research on the motivations for HR strategies suggests that problem-solving abilities, perceived assistance, social changes, and study challenges play important roles. Hunter [10] found that concerns about people management in organizations, lack of university autonomy, and the influence of higher education ministries can impact employees’ behavior, as seen in employment challenges faced by administrative staff in Malaysia following COVID-19. Bitsadze and Japaridze [13] emphasize the significance of studying SHRM and organizational commitment (OC) in specific contexts, particularly in Georgia. They also highlight the need for future research on strategic decision-making, self-evaluation of research personnel, and commitment to continuous development in Georgian educational institutions to align with European higher education standards [14]. However, it could be revealed a shortage of scholarly investigations exploring the connection between SHRM practitioners’ EI and AOC in higher education institutions. Specifically, there is a lack of research addressing the post-COVID-19 environment. In order to bridge this research gap, our study seeks to investigate the impact of EI among SHRM practitioners on AOC, particularly in the context of the post-COVID-19 era. This paper looks at how SHRM practitioners can reimagine their own future in terms of managing their employees. Drawing on insights from psychology, the importance of attending to the human side of employment relationships is emphasized. Therefore, this research seeks to enhance the current body of knowledge on SHRM and the advantages of emotional treatment. The primary objective of this research is to examine how psychological contract (PC) mediate the relationship between the EI of SHRM practitioners and AOC within higher education institutions in post-COVID-19 Georgia. The paper follows a structured format, including a theoretical background, hypotheses, methodology, data collection, results, and practical and theoretical implications for organizations.

2. Theoretical framework

2.1 EI conceptualization and EI in post-COVID-19 era

The concept of EI has garnered increasing interest from academics in the social sciences since the early 20th century [15]. However, despite this growing interest and its relatively young history, different authors have defined and conceptualized EI in various ways. The foundations of EI can be attributed to the studies conducted by Thorndike in the 1920s [16]. Salovey and Meyer [17] later expanded on the emotional competences outlined by McClelland [18], Gardner’s [19] interpersonal intelligence, and Thorndike’s intuition to provide further insight and clarification in their scientific study. In this study EI is defined and introduced as the ability to accurately perceive, assess, and express emotions; the capacity to access and create emotions that support cognitive processes; the proficiency in understanding emotions and emotional knowledge; and the ability to manage emotions to promote emotional and intellectual growth [20]. Goleman [21] further described EI competencies as essential skills that cultivate empathy, self-discipline, and teamwork to enhance work performance. The definition of EI is classified into two primary categories: the ability model and the mixed or trait models [22, 23]. The ability model views EI as a cognitive ability involving the use of emotionally charged information [24]. It emphasizes an intellectual understanding of emotions and their influence on thoughts and actions [25]. Mixed or trait models integrate personality dimensions, such as optimism, assertiveness, and empathy, with cognitive factors related to emotion, such as perception, assimilation, understanding, and management. These models have been proposed by researchers like, Bar-On [26], Goleman [21] and Petrides et al. [27]. Joseph and Newman [28] argue that the second model, which combines personality traits with cognitive factors, is a stronger predictor of job performance. The year 2020 brought significant shifts, making EI even more critical for leaders and managers in public and private organizations. Managing employees and maintaining an emotional connection has always been challenging, and the importance of EI continues to grow. In the post-COVID-19 era, the demand for higher EI has increased. Recognizing and understanding emotions, both in oneself and others, is linked to reduced burnout, increased commitment, and proactive coping strategies during and after the pandemic [29]. Managers recognize the importance of EI for generating followership and performance. Employees seek a deeper connection beyond numbers, wanting to be heard, understood, and valued. Understanding why EI is more essential than ever is crucial in navigating the post-COVID-19 world.

2.2 Conceptualization of SHRM and COVID-19

Strategic human resource management (SHRM) is a concept that emerged in the 1990s, combining the principles of strategy and human resource management. It recognizes the importance of aligning HRM practices with organizational strategy to achieve a competitive advantage [30]. Today, SHRM is widely recognized as the interaction between human resource management and activities aimed at achieving organizational goals. It involves deploying activities to achieve organizational success through planned behaviors and addressing long-term HR issues as part of strategic management. SHRM encompasses two main perspectives: HRM as an integral part of organizational strategy and HRM as a strategy in itself, focusing on developing staff to navigate a rapidly changing world. During the COVID-19 pandemic, SHRM became even more crucial in managing challenges and adapting work organization and job design [31]. HRM practitioners implemented guidelines and crisis management to support employees, reduce stress, and increase motivation and confidence. Strategic thinking and contemporary HR practices such as flexibility and job design are essential in effectively managing pandemic-related challenges and aligning HRM with strategic planning [32]. It is consistent with the human capital theory which reflects the strategic significance to human resources. In the post-COVID-19 era, adopting SHRM helps organizations effectively manage challenges and improve job performance [33]. Detailed HRM strategies are necessary to address staffing, training, compensation, and performance appraisal in alignment with strategic planning.

2.2.1 Staffing in post- COVID-19

Staffing involves the process of locating, selecting, evaluating, and nurturing employees [34]. The dynamics of staffing have undergone significant changes [35]. The pandemic has disrupted operations, making it difficult for organizations to anticipate their staffing requirements, even in the short term [36]. HR departments must adapt to current trends and carefully assess both immediate and future resource needs [36]. During the pandemic, organizations have commonly implemented strategies such as partially or completely halting recruitment [37]. COVID-19 has influenced various aspects of recruitment, including changes in hiring priorities, employer branding, flexible work arrangements, and telecommuting [37]. The prevalence of remote work options is expected to continue in organizations [38]. In the healthcare sector, there has been an increase in programs and resources for mental health, workshops, and employee resiliency training in post-COVID-19 nurse staffing [39]. Supporting managers and employees throughout the staffing process and providing them with accurate information pose major obstacles for human resource managers during the pandemic. In the post-COVID-19 era, SHRM practitioners play a vital role in addressing staffing challenges by considering the following factors:

  • Anticipating managers’ expectations regarding staffing changes in the next three to five years (Green, 2022).

  • Developing strategies for attracting new talent to the organization.

  • Defining the staffing strategy for the post-COVID-19 era and adapting goals since the outbreak of the pandemic.

  • Employees’ work arrangement preferences in the post-COVID-19 landscape.

  • Employees’ expectations for different employment classifications (full-time, part-time) in higher education in the post-COVID-19 era (Green, 2022).

In response to the circumstances, organizations have adopted and utilized digital or online approaches for the process of attracting, evaluating, and selecting candidates for job positions which presents significant challenges for HR professionals and those who are actively looking for employment opportunities. However, companies have successfully utilized virtual recruiting practices, resulting in time, cost, and resource savings. Virtual recruitment is anticipated to continue as a standard practice, especially for entry-level positions and initial screening stages in the post-COVID-19 environment. Research conducted by Bieńkowska et al. [36] indicated that human resources people were ill-equipped to handle this unforeseen change in workforce. Hence, it is crucial for SHRM practitioners to develop strategies to retain talent in the post-pandemic period. While COVID-19 is still present, certain recruiting and staffing practices are expected to endure in the post-pandemic world.

2.2.2 Training in post-COVID-19

The COVID-19 crisis has brought significant changes to working conditions in organizations. Managers have sought to go beyond traditional training methods and implement strategies to develop the skills required by employees, increase awareness about the new virus, and support remote working [40]. One of the major challenges for HRM practitioners during this crisis has been the development of new training programs that consider physical distancing and the adoption of new training methods in line with the new reality of employees and organizations. Thilagaraj and Rengaraj [41] highlight that the post-COVID-19 workplace will require different professional techniques compared to the pre-pandemic period. This means that SHRM practitioners need to provide more coaching and their training teams need to be innovative in their approach. SHRM practitioners face challenges and a significant opportunity to revisit traditional learning models and find better ways to support their teams. It is evident that returning to normal is not an option, as we are in a new post-COVID-19 environment. Managers also need to reconsider their training methods to meet the changing needs and uncertainties of the future. Consequently, they are exploring new and innovative ways to deliver accurate, timely, and practical training [41].

In the post-COVID-19 era, SHRM practitioners need to address the following questions to overcome training challenges:

  • How can SHRM practitioners address training issues in the post-COVID-19 era?

  • How can strategic thinking contribute to the success of training plans in the future?

2.2.3 Compensation and post-COVID-19

The term compensation describes a monetary payment made to a person in return for their services. According to Dessler [42] employee compensation and benefits comprise all forms of pay that employees get that are related to their employment in addition to their regular earnings or salary. They include both direct financial compensation (bonuses, profit-sharing) and indirect financial compensation (medical care, health insurance, paid time off, etc.). Three categories are used by Leibowitz [43] to classify benefits. The first one comes with health insurance and is nontaxable for personal use. There is taxation on the second and third categories. Benefits like life insurance, which the employer can provide at a reduced cost because of quantity discounts, fall under the second category; paid time off falls under the third [43]. The COVID-19 pandemic has not only brought about changes in employee lifestyles, needs, and preferences, but it has also presented unique challenges for companies’ executive compensation programs. These challenges include setting goals for incentive plans in an uncertain environment, implementing cyclical incentives, and performance-based grants, providing temporary paid sick leave. To address these challenges, organizations have developed various approaches in compensation strategies and policies as a primary motivator. For example, Arnold and Sirras [40] recommend changing compensation strategies and frameworks to incorporate discretion in assessing performance, avoiding layoffs, and retaining employees or hiring new employees at lower salaries in remote geographic regions. However, despite the strategic importance of compensation and the challenges posed by the new normality, limited attention has been given to this area in higher education [44]. Therefore, it is crucial to rethink the underlying principles for compensation in the post-COVID-19 era. This suggests that there is a chance to make a significant impact on employees’ well-being and financial security, even after the COVID-19 pandemic, by reevaluating and adapting compensation and benefits within organizations [38].

2.2.4 Performance appraisal and post-COVID-19

Performance appraisal involves systematically identifying and evaluating employees across various performance dimensions to ensure alignment with organizational goals and value for the organization’s investment [45]. It serves as a valuable feedback mechanism for employees and managers and helps managers identify employees with potential for promotion. The COVID-19 pandemic has significantly impacted performance appraisal, presenting challenges such as disruption in performance-based pay, workplace isolation, lack of communication and control, and role conflict [46, 47]. These challenges have made it challenging for SHRM practitioners to assess performance during remote work, as trust has been compromised and tensions between employees and employers have increased. Aguinis and Burgi-Tian [48] highlight that a lack of communication, data, uncertainty, and feedback can create critical issues in evaluating performance during a crisis. In this context, it is crucial for managers to adapt and conduct fair assessments that provide stability, motivation, and recognition for employees’ contributions. Transparency, clarity, and the adoption of innovative and adaptable approaches can help maintain trust in the post-COVID-19 era. Gallup [46] emphasizes the importance of re-engineering performance management to address challenges such as infrequent feedback, lack of clarity, manager bias, and negative reactions to evaluation and feedback during the COVID-19 era. Some key considerations for performance appraisal in the post-COVID-19 workforce include identifying effective methods for appraising performance in the new environment, recognizing employees who went above and beyond during challenging times, evaluating performance in relation to adjusted goals, providing effective feedback, and planning performance appraisals that deviate from the usual method of reviewing individual job performance and overall contribution to company performance [49]. By addressing these questions and adapting performance appraisal practices, organizations can navigate the unique challenges posed by the pandemic and ensure that employees are acknowledged and rewarded for their efforts.

2.3 PC conceptualization and PC in the post-COVID-19 era

Rousseau and McLean Parks [50] proposed a model with five dimensions based on Macneil’s [51] contractual continuum. These dimensions include time frame, tangibility, scope, focus, and stability. Time frame pertains to how long individuals perceive their employment relationship to last, while tangibility relates to the clarity and specificity of the contract terms. Scope examines the permeability between work and personal life, while focus and stability explore the ability of the PC to evolve and change over time. The PC is rooted in social exchange theory and represents mutual obligations in the employee-employer relationship [52]. It encompasses transactional, relational, balanced, and transitional dimensions, focusing on economic obligations, commitment, communication, stability, and performance. The COVID-19 pandemic has significantly impacted the employee-employer relationship and the PC [53]. Leaders face challenges in navigating the changing working conditions and fulfilling the PC in the post-COVID-19 world [53, 54]. Studies show how the pandemic has influenced the nature of the PC and shifted expectations for both employees and employers [53, 5558]. SHRM practitioners play a crucial role in implementing strategies to meet the needs of both parties and ensure stable employment relationships [59]. Understanding the impact of the crisis on SHRM and employment relationships is important, as well as recognizing the challenges and unattainable expectations in the post-COVID-19 era [60]. It is necessary to examine how the employee PC has changed and how its fulfillment affects attitudes and behaviors in the new working environments.

2.4 AOC conceptualization and AOC in post-COVID-19 era

According to Limon [61] organizational commitments understand and defines their shared values, beliefs, norms, and behaviors is known as the conceptualization of OC. Three aspects of organizational commitment were recognized by Meyer et al. [62] as affective, continuance, and normative commitment. Normative commitment stems from a sense of duty, continuance commitment arises from the need to continue working, and affective commitment is a sincere wish to stay with the company. Historically, OC has been perceived as a stable and enduring aspect of organizations that shapes their identity and influences employee conduct [63]. However, in the post-COVID-19 era, there has been a shift in the conceptualization of OC to recognize the dynamic and adaptive nature of organizations. The pandemic has compelled organizations to swiftly adapt to remote work, digitalization, and evolving business models. Consequently, OC is now being seen as more flexible, resilient, and responsive to external changes [63]. Organizations are increasingly aware of the need to foster commitment that promotes agility, innovation, and employee well-being to navigate the uncertainties of the post-COVID-19 world. According to Becker [64], one perspective on commitment is based on the exchange between individuals and organizations, where a more favorable exchange leads to greater commitment. It reflects loyalty and performance, with higher commitment associated with increased loyalty which encompasses a sense of belonging and citizenship behaviors that enhance efficiency [65]. During the COVID-19 pandemic, employee commitment has been a challenge for organizations [63, 66, 67]. Akartuna and Serin [63] found that teachers’ commitment decreased due to changes in working conditions. The importance of increasing emotional attachment and involvement in the organization was emphasized to maintain commitment and prevent turnover intentions during the pandemic [66]. Low levels of AOC were observed among both female and male teachers. Moving forward from the crisis, SHRM practitioners have an opportunity to develop strategies that foster positive attitudes, enhance employee engagement, and drive organizational success in the post-COVID-19 era. Therefore, AOC which pertains to emotional attachment is the focus of this study.

3. Hypotheses

3.1 The SHRM practitioner’s EI and AOC

Within the theoretical framework outlined earlier, it is essential to further elucidate the mechanism through which HRM strategies impact organizational commitment. SHRM practitioners are responsible for deploying activities and creating a work atmosphere that fosters inclusion and acceptance and devotion to the workplace, ultimately enabling companies to achieve their goals [68, 69]. Management strategies can influence AOC by fostering a positive sense of responsibility and emotional attachment among employees. Reviewing the literature, it is argued that HRM practices and the employment relationship play a vital role in increasing employee commitment [36].

EI is crucial for SHRM practitioners, especially in a post-COVID-19 environment. Asserted by Goodlet et al. [70], developing EI allows leaders to consider employees’ attitudes, understand their needs, and contribute to organizational effectiveness through effective relationship management. Research shows that team leaders with high EI can positively influence employees’ commitment and proactive behavior, particularly during stressful situations like the COVID-19 outbreak [70]. Alternatively, employees who have a diminished capacity for EI often find themselves grappling with increased levels of anxiety as well as burnout [71]. Therefore, based on Zampetakis and Moustakis’s research [72] it is important for SHRM practitioners to effectively manage their own emotions to avoid negative impacts on their actions. Effective HRM is rooted in EI, as it helps managers perform better, be more productive, and reduce conflicts with others [5]. Leaders with high EI excel in communication, conflict management, and guiding employee performance [21]. Emotional competences, such as developing others, understanding needs, and effective communication, are essential for SHRM practitioners to understand employee needs, provide a sense of security, and maintain faculty and administrative vitality. Positive emotions at work, such as inspiration, happiness, and enthusiasm, influence rational reductions in costs related to training, development, performance appraisal, retention plans, and compensation [63], which are important challenges in the post-COVID-19 era. The organization’s response to the COVID-19 outbreak can influence changes in employees’ affective commitment, and leaders’ EI is crucial in fostering energetic motivation and happiness among employees [6]. When examining the three aspects of organizational commitment (affective, continuance, and normative), it becomes apparent that the EI of SHRM practitioners is strongly associated with affective commitment, which pertains to emotional attachment. Thus, emotionally intelligent SHRM practitioners who employ practices such as staffing, training, compensation, and performance appraisal are more prone to embrace strategies that influences AOC and a sense of belonging in the higher education sector, especially in the face of the COVID-19 crisis. This is particularly important in the post-COVID-19 environment. Therefore, we can state the hypotheses as follows:

  • H1. EI of (SHRM) practitioners has a positive effect on their SHRM practices in the higher education in post-COVID-19.

  • H2. EI of (SHRM) practitioners has a positive effect on their AOC in the higher education in post-COVID-19.

3.2 The SHRM practitioner’s EI and PC

The literature highlights the significance of HR for organizational strength. Organizations, based on resource-based theory, select qualified employees who contribute to organizational development [73]. Social exchange theory supports the idea that motivation shapes positive relationships [74]. Research on HRM strategies and the PC shows that effective SHRM optimizes skills, fosters support, and strengthens the PC [73, 7577]. Supporting employees during the COVID-19 outbreak significantly impacts their feelings and reciprocal relationships [78]. Building positive emotions in the workplace is crucial for employees’ well-being [79]. Managers’ EI affects the PC, as low EI leads to ineffective HRM practices and negative attitudes [80]. The COVID-19 pandemic has disrupted employment relationships, causing shifts and breaches in psychological contracts [56]. SHRM practitioners play a vital role in ensuring stable employment relationships and addressing challenges in the post-COVID-19 era [59]. Understanding and negotiating the PC during times of stress according to Francesca Di Meglio [60], particularly in higher education, is important. Therefore, it can be hypothesized that:

  • H3: EI of (SHRM) practitioners has a positive effect on PC in the higher education in post- COVID-19.

3.3 PC and AOC

Existing research has primarily focused on the PC, examining content-based elements (transactional and relational) and evaluation-based elements (fulfillment or breach) [8183]. These studies have explored the impact of psychological contracts on work-related attitudes like job engagement, job involvement, and OC [57, 8487]. Coyle-Shapiro and Kessler [88] found that PC fulfillment directly influences employees’ affective commitment. Yu et al. [57] demonstrated the positive impact of PC fulfillment on intrinsic motivation and affective commitment during the COVID-19 outbreak. Akartuna and Serin [63] showed changes in teachers’ commitment levels due to the pandemic. However, the effects of these extraordinary circumstances on work-related attitudes and behaviors in the post-COVID-19 era are still unknown [57, 89]. Based on these arguments, we propose that psychological contracts positively affect AOC, which aligns with attitudes in the post-COVID-19 era. Therefore, we hypothesize that:

  • H4. PC of (SHRM) practitioners has a positive effect on their AOC in the higher education in post-COVID-19.

3.4 PC mediates association between SHRM practitioner’s EI and AOC in post-COVID-19

Based on the arguments presented, it is suggested that a mediation model can better explain the relationships. This means that the EI of SHRM practitioners can impact on AOC either directly or indirectly. Indirect impact occurs through the influence of SHRM practitioners’ EI on the establishment of PC, which then motivates employees to exceed their job descriptions and align with organizational goals, leading to increased AOC. In the post-COVID-19 era, when uncertainty is prevalent, the importance of EI as a core HR competency is even higher [90]. Taking into account the relationships discussed, we can propose a hypothesis for mediation. Firstly, previous studies have demonstrated that psychological contracts have a significant impact on organizational commitment, indicating a clear connection between the two variables [84, 86]. PC fulfillment has been found to significantly affect employees’ emotional attachment during the COVID-19 crisis [57], while breach of the PC can lead to absenteeism and turnover. Secondly, SHRM practices influence employee attitudes and behaviors, including AOC. These practices foster positive employee attitudes towards the organization and elicit positive responses based on reciprocity, particularly during the COVID-19 outbreak when employee performance is crucial [36, 91]. SHRM, as a modern approach, involves all management levels in promoting AOC and motivation in today’s organizational context [92]. Given the theoretical background, it is important to examine the mechanism of SHRM practitioner influence on AOC while considering the mediating role of psychological contract. Furthermore, in the post-COVID-19 era, organizations are faced with the challenge of establishing a happy and engaged work environment, where there is a greater demand for EI. Incorporating EI into SHRM practices, including training, compensation, staffing, and performance appraisal, can empower organizations. In summary, it is argued that the EI of SHRM practitioners and PC in the post-COVID-19 era can enhance employees’ affective commitment to the organization.

  • H5: PC mediates the positive relationship between SHRM practitioner’s EI and AOC in the higher education in post-COVID-19

3.5 Final model of hypotheses

The hypotheses outlined in Fig 1 had been examined through empirical research. This research involved measuring each variable and utilizing statistical analysis to identify the relationships between them. By conducting the research in this manner, we will be able to gather evidence and determine whether the hypotheses are supported or refuted. This approach will contribute to our understanding of the variables and their connections.

Fig 1. Conceptual framework.

Fig 1

4. Methodology

This section contains (i), design of the research, (ii) the instrument, (iii) the sample technique, and (iv) the data collection. In this study, a quantitative approach is utilized to investigate the connection between the EI of SHRM practitioners as well as AOC in the educational sector, specifically among administrators and policy makers. The study follows a deductive approach and employs a cross-sectional design. The main objective is to examine how the PC mediates the impact of SHRM practitioner’s EI on AOC in the post-COVID-19 environment. This research primarily relies on data collected through literature reviews. This includes reviewing books and journals from libraries, as well as conducting internet research to explore the perspectives of other scholars. For the selection of participants, HR directors, HR managers, and HR officers were chosen using a purposive sampling technique based on availability. A total of 393 HR directors, HR managers, and HR officers were selected from universities in the zone. In Georgia’s higher education industry, there are 63 higher education institutions, including 34 universities, 23 teaching universities, and 6 colleges in 2022. This study specifically focuses on Tbilisi, the capital of Georgia, which is home to the largest number of public (12) and private universities (30). In Georgia, each university has between 5 to 20 managers responsible for human resources. The target sample for this study encompasses all these managers in the 42 public and private universities in Tbilisi, Georgia, amounting to approximately 393 individuals. To achieve a level of 99% confidence with a confidence interval of 5%, the study would require 251 respondents. Alternatively, a confidence level of 95% with a margin of error of 5% would require 197 respondents, as calculated using the Survey Monkey calculator. Data collection took place from February 2023 to March 2023, using an online questionnaire. The survey was shared with all members of a WhatsApp group consisting of HR managers from universities in Tbilisi. In the data collection phase, a grand total of 286 participants from both public and private universities completed the questionnaire. IBM SPSS software was utilized for analyzing data and Partial Least Squares (PLS) for Structural Equation Modeling (SEM). PLS-SEM was chosen for its capability to assess both direct and indirect relationships among variables. SEM allows for the examination of structural models, which reveal the dependencies between exogenous variables (independent, unexplained, or not predicted by other variables) and endogenous variables (dependent variables).

4.1 Variables and measures

All constructs were measured using established scales, with some modifications made to better capture the post-COVID-19 context, which was the focus of this study. The survey comprised four sections, including a total of 56 items. The initial section measured practitioners’ EI with 16 items, the second part assessed SHRM practices with 17 items, the third part evaluated the PC with 17 items, and the fourth part measured AOC with 6 items. All survey items were assessed using a Likert-scale, comprising five response choices ranging from 1 (strongly disagree) to 5 (strongly agree).

4.1.1 Emotional intelligence

The measurement of EI in this study followed the approach of Molina et al. [6]. Their self-report scale, which is suitable for HRM research and easily understandable by respondents, was utilized. Self-report measures are effective in assessing individuals’ emotional abilities [93]. The scale consisted of 16 theoretical competencies divided into personal behavior, interpersonal relationships, and communication. These competencies encompass dimensions of self-awareness, self-management and motivation, social awareness and prosaically behavior, and decision-making [94]. Managers were asked to assess their own emotions, as well as the emotions of their employees, and provide explanations for why employees experience certain emotions. The 16 items, such as "I am empathetic and considerate towards the feelings and emotions of others" and "I am self-driven and motivated" were used to measure managers’ EI. The Cronbach’s Alpha score for the EI construct was 0.753.

4.1.2 Strategic human resource management

To test the hypotheses, the following variables were used for SHRM: staffing, training, compensation, and performance appraisal. For measuring COVID-19 staffing, we adopted the approach of Kutieshat and Farmanesh [95]. However, we modified the original statements to reflect the post-COVID-19 context. To provide an illustration, specific phrases were incorporated into the survey items to reflect the impact of the post-COVID-19 environment, such as "employment and employing selection have been scaled back. In other words, it is restricted for significant positions." This particular construct comprises four items. The measurement of COVID-19 training was adapted from Kutieshat and Farmanesh’s [95] work and included two items. An example item is "the organization provides adequate job training to employees in the post-COVID-19 environment." Similarly, the construct of COVID-19 compensation was derived from the research of Kutieshat and Farmanesh [95], and it comprised three items. For example, one item assessed the presence of an individual performance-based reward system in the post-COVID-19 environment. The construct for COVID-19 performance appraisal was developed by Bieńkowska et al. [36]. In the time of the post-COVID-19 environment, the construct encompasses a total of eight items. These items specifically pertain to the HR department’s role in ensuring that employees are well-informed about work-related matters and have a clear understanding of their performance. We added the phrase "post-COVID-19 environment" to each question to ensure managers’ attention to the specific context. This accurately reflects the situation in the post-COVID-19 era, where employees are facing new circumstances and experiencing the differential impact of SHRM [32]. The Cronbach’s Alpha scores for the SHRM construct was 0.806, SHRM-Staffing was 0.705, SHRM-Training was 0.803, SHRM-Compensation was 0.703, and SHRM-Performance Appraisal was 0.719.

4.1.3 Psychological contract

The measurement of the PC utilized a 17-item scale originally developed by Millward and Hopkins [96] and used in previous studies [97]. To assess the PC, we adopted the scale revised by Wang et al. [97], which consists of two dimensions: transactional and relational. The transactional dimension is based on the concept of reciprocation and involves extrinsic rewards, with 10 questions. The relational dimension focuses on the mutual relationship between employees and employers and includes organizational support and development opportunities, with 7 items. In this study, we specifically considered the manager’s perception of the PC. Therefore, we modified the questions accordingly. For example, one question could be "Does this employee feel like part of a team in this organization?" (Relational), or "Does this employee come to work solely to get the job done?" (Transactional). The Cronbach’s alpha value for the PC scale was 0.81, indicating acceptable internal consistency.

4.1.4 Affective organizational commitment

The authors utilized a six-item scale, proposed by Allen and Meyer [98], to measure AOC. This scale is widely recognized and has demonstrated high reliability in previous research. To specifically capture the manager’s perspective on AOC, the questions were rephrased accordingly. For instance, a sample item could be "Does this employee feel personally connected to the organization?" The Cronbach’s alpha coefficient for this scale was 0.788, indicating acceptable internal consistency.

To assess internal consistency reliability, both composite reliability and Cronbach’s alpha values were calculated and found to be 0.7 or higher, as shown in Table 1. The estimates of average variance extracted (AVE) were also computed and found to be 0.503 or higher, confirming convergent validity. Discriminant validity through Fronell-Larcker [99] was evaluated and presented in Tables 2 and 3 for all constructs. The results indicate that the square roots of each construct’s AVE were greater than its correlation with other constructs, providing evidence of discriminant validity for the instrument.

Table 1. Reliability and convergent validity.
Constructs Cronbach’s alpha Composite Reliability Average Variance Extracted (AVE)
AOC 0.788 0.845 0.61
EI 0.753 0.753 0.503
EI_DM 0.74 0.747 0.657
EI_SA 0.705 0.727 0.527
EI_SAPB 0.706 0.727 0.528
EI_SMM 0.717 0.735 0.636
PC 0.81 0.81 0.513
PC_RA 0.769 0.79 0.519
PC_TRANS 0.809 0.818 0.511
SHRM 0.806 0.81 0.51
SHRM_CO 0.703 0.72 0.624
SHRM_PA 0.719 0.733 0.544
SHRM_ST 0.705 0.735 0.527
SHRM_TR 0.803 0.805 0.835

AOC: Affective organizational commitment EI-DM: (emotional intelligence-decision making); EI-SA: (emotional intelligence- self-awareness; EI-SAPB (emotional intelligence- self-awareness and prosocial behaviour); EI-SMM (emotional intelligence- self management and motivation); PC-RA psychological contract- Transactional PC-TRANS: psychological contract rational); SHRM-CO(strategic human resource management–compensation); SHRM-PA(strategic human resource management- performance appraisal); SHRM-ST(strategic human resource management- strategic staffing); SHRM-TR strategic human resource management- strategic training).

Table 2. Discriminant validity (Fornell–Larcker criterion).
AOC EI_DM EI_SA EI_SAPB EI_SMM PC_RA PC_TRANS SHRM_CO SHRM_PA SHRM_ST SHRM_TR
AOC 0.781
EI_DM 0.479 0.81
EI_SA 0.56 0.417 0.726
EI_SAPB 0.527 0.449 0.429 0.726
EI_SMM 0.348 0.349 0.485 0.412 0.797
PC_RA 0.576 0.335 0.501 0.526 0.367 0.721
PC_TRANS 0.644 0.432 0.518 0.465 0.421 0.651 0.715
SHRM_CO 0.586 0.364 0.47 0.439 0.381 0.556 0.609 0.79
SHRM_PA 0.673 0.444 0.568 0.452 0.391 0.575 0.676 0.615 0.737
SHRM_ST 0.556 0.384 0.444 0.396 0.358 0.543 0.573 0.559 0.715 0.726
SHRM_TR 0.267 0.242 0.3 0.307 0.308 0.34 0.266 0.344 0.355 0.422 0.914
Table 3. Discriminant validity of overall constructs.
AOC EI PC SHRM
AOC 1.000
EI 0.642 0.753
PC 0.673 0.657 0.909
SHRM 0.684 0.666 0.741 0.795

4.2 Results

4.2.1 Descriptive statistics

In total, 22.73% of respondents work at public universities, while 77.27% work at private universities, which aligns with the general statistics of private universities in Georgia. The majority of respondents, accounting for 55.24%, were female. Additionally, 33.22% of respondents are up to 35 years old. Table 4 provides the nature of the sample.

Table 4. Demographic variables.
Frequency Percent
Gender Male 128 44.76
Female 158 55.24
Age 26–34 95 33.22
35–43 75 26.22
44–52 49 17.13
53 67 23.43
University Public 65 22.73
Private 221 77.27
Experience Less Than 10 Years 46 16.08
10–20 Years 58 2.28
More Than 10 Years 182 63.64
Education Diploma 49 17.13
Undergraduate 114 39.86
Postgraduate 123 43.01
Employment Part Time 34 11.89
Full Time 252 88.11
Total 286 100

Table 5 illustrates the changes in all variables. The highest mean scores were observed for the following statements:

Table 5. Outer loadings.
Constructs Items Outer Loading Minimum Maximum Mean Standard Deviation VIF
AOC AOC1 0.849 2 4 3.983 0.177 1.889
AOC2 0.874 2 5 3.993 0.301 1.966
AOC5 0.610 1 5 4.08 0.379 1.306
AOC6 0.765 2 5 4.063 0.369 1.607
EI_DM EI_DM1 0.844 2 5 4.224 0.508 1.599
EI_DM2 0.800 2 5 4.133 0.438 1.369
EI_DM3 0.785 2 5 4.213 0.48 1.512
EI_SA EI_SA1 0.766 1 5 4.206 0.538 1.323
EI_SA2 0.791 2 5 4.234 0.546 1.446
EI_SA3 0.714 1 5 4.108 0.521 1.44
EI_SA4 0.621 2 5 4.154 0.52 1.301
EI_SAPB EI_SAPB1 0.642 1 5 4.143 0.506 1.245
EI_SAPB3 0.775 1 5 4.098 0.499 1.271
EI_SAPB4 0.737 2 5 4.252 0.535 1.408
EI_SAPB5 0.745 2 5 4.175 0.485 1.419
EI_SMM EI_SMM1 0.832 2 5 4.094 0.517 1.455
EI_SMM2 0.819 2 5 4.133 0.446 1.39
EI_SMM3 0.738 2 5 4.245 0.525 1.377
PC_RA PC_RA1 0.766 1 5 4.157 0.554 1.45
PC_RA2 0.697 2 5 4.168 0.515 1.447
PC_RA5 0.687 2 5 4.136 0.514 1.468
PC_RA6 0.803 2 5 4.087 0.511 1.706
PC_RA7 0.639 1 5 4.126 0.534 1.291
PC_TRANS PC_TRANS1 0.742 1 5 4.143 0.583 1.516
PC_TRANS3 0.752 2 5 4.098 0.513 1.572
PC_TRANS4 0.722 1 5 4.063 0.498 1.471
PC_TRANS6 0.672 1 5 4.147 0.528 1.437
PC_TRANS8 0.757 1 5 4.08 0.499 1.637
PC_TRANS9 0.635 2 5 4.196 0.588 1.354
SHRM_CO SHRM_CO1 0.825 2 5 4.017 0.349 1.343
SHRM_CO2 0.800 2 5 4.038 0.327 1.517
SHRM_CO3 0.743 2 5 4.059 0.41 1.334
SHRM_PA SHRM_PA2 0.730 2 5 4.01 0.318 1.323
SHRM_PA3 0.822 2 5 4 0.302 1.585
SHRM_PA4 0.719 2 5 3.979 0.354 1.313
SHRM_PA8 0.670 1 5 4.126 0.507 1.323
SHRM_ST SHRM_ST1 0.651 2 5 4.091 0.441 1.256
SHRM_ST2 0.778 2 5 4.038 0.404 1.43
SHRM_ST3 0.795 1 5 4.056 0.447 1.337
SHRM_ST4 0.669 2 5 4.122 0.445 1.293
SHRM_TR SHRM_TR1 0.909 2 5 4.031 0.328 1.816
SHRM_TR2 0.919 2 5 4.073 0.371 1.816
  • "The effort which I put into my job is fairly rewarded in the post-COVID-19 environment" in the strategic performance appraisal dimension, with a mean score of 4.126.

  • "I have good relationships with my workmates" in the self-awareness and prosocial behavior dimension of EI, with a mean score of 4.252.

  • "This employee feels personally attached to my work organization in the post-COVID-19 environment" in the AOC dimension, with a mean score of 4.08.

  • "This employee feels this company reciprocates the effort put in by its employees in the post-COVID-19 environment" in the rational dimension of the PC, with a mean score of 4.168. These findings suggest that higher education organizations are undergoing shifts in the post-COVID-19 environment, necessitating a renegotiation of the PC between SHRM practitioners and their universities. To ensure the validity of the analysis, questions with outer loadings below 0.4 were removed from the model. Additionally, Hair et al. ([100], p.103) recommend considering the removal of indicators with outer loadings between 0.4 and 0.7 only if a total of 19 questions were excluded from the analysis because their removal resulted in an improvement in composite reliability or average variance extracted, surpassing the recommended threshold. Table 5 shows the results of outer loadings.

4.2.2 Hypotheses testing

We run correlation analysis for hypotheses testing (see Table 6). The findings indicated a positive correlation between EI and SHRM (r = 0.600, p < 0.01) and between SHRM and AOC (r = 0.693, p < 0.01), supporting hypothesis 1and 2. It was also confirmed that SHRM and PC were positively correlated in moderate strength (r = 0.679, p < 0.01), therefore supporting H3. The results also reveal a positive moderate relationship between PC and AOC (r = 0.650, p < 0.01), also supporting hypothesis 4.

Table 6. Correlation matrix.
AOC EI PC SHRM
AOC 1 .604** .650** .693**
EI .604** 1 .576** .600**
PC .650** .576** 1 .679**
SHRM .693** .600** .679** 1

**. Correlation is significant at the 0.01 level (2-tailed)

SEM with PLS method was applied for the analysis of the influence of EI on SHRM and AOC, as well as the influence of PC on AOC. Table 7 shows direct effects between variables. Fig 2 shows the results of PIS Algorithm and Fig 3 results of bootstrapping. The analysis confirmed the positive influence of EI on SHRM (β = 0.666, p < 0.01), SHRM on AOC (β = 0.411, p < 0.01) as well as a positive influence on PC (β = 0.741, p < 0.01). Confirming hypotheses 1, 2 and 3. In addition there was a positive impact of PC on AOC (β = 0.369, p < 0.05). The R 2 for AOC and PC were 0.548 and 0.529, which are considered as moderate impact, followed by SHRM (0.443) which is considered as week impact. Furthermore, Table 8 represents that the indirect effect of SHRM on AOC is significant. To find the role of mediator, the variance accounted for (VAF) was calculated, which determines the size of the indirect effect in relation to total effect. The VAF was 39.91%, which shows that the PC has the partial mediation role in the relationship between SHRM and AOC. Based on Table 9, the model has a good fit (SRMR = 0.089, NFI = 0.790, χ 2 = 327.937).

Table 7. Direct effects.
Hypotheses Path Path Coefficient SD Mean T-value P-value Results
H1 EI -> SHRM 0.666*** 0.102 0.65 6.530 0.000 Accept
H2 SHRM -> AOC 0.411*** 0.142 0.432 2.902 0.004 Accept
H3 SHRM -> PC 0.741*** 0.073 0.729 10.083 0.000 Accept
H4 PC -> AOC 0.369** 0.175 0.327 2.106 0.035 Accept

***p < .01, **p < .05

Fig 2. Results of PLS algorithm.

Fig 2

Fig 3. Results of bootstrapping.

Fig 3

Table 8. Indirect effects.
Hypotheses Path Path Coefficient SD Mean T-value P-value Results
H5 SHRM -> PC -> AOC 0.273** 0.134 0.242 2.041 0.041 Accept

***p < .01, **p < .05

Table 9. Model fit.
Saturated model Estimated model
SRMR 0.073 0.089
d_ULS 0.354 0.526
d_G 0.168 0.204
Chi-square 289.494 327.937
NFI 0.815 0.790

5. Discussion

COVID-19 has undoubtedly resulted in the emergence of a complex and challenging environment for SHRM practitioners who needed to come up with creative solutions to sustain their organizations and assist their staff in coping with the difficulties of this unheard-of situation [49]. The primary objective of this study was to investigate the role of SHRM practitioners’ EI on AOC in higher education in Georgia. The research conducted for the purpose of this study showed that EI has a positive influence on SHRM during post-COVID-19 and in turn has a positive effect on the AOC in the higher education (Hypothesis 1 and 2). Regarding this matter, it is crucial to emphasize the dearth of comparable research conducted within this particular context. However, a general literature review conducted by Hamouche [49] during COVID-19, emphasized the current situation has provided SHRM practitioners with a unique opportunity to meet the strategic objectives of the organization to overcome the silent impact of COVID-19. By integrating the organizational focus on emotions with the value of SHRM, we can assert that EI competencies have the potential to reshape SHRM practitioners into a group of individuals who prioritize people-oriented activities. These activities aim to enhance the efficient acquisition, utilization, and retention of employees within the organization. As we noted before, a post-Covid-19 environment demands greater emotional intelligence [101]. Moreover, providing guidance on how to keep highly committed employees in Georgia’s higher education institutions during a crisis and after an unexpected transformations. This recommendation is in line with other recent literature in the field of education management [102]. For instance, Sharma and Ramesh [103] show that to achieve organizational goals in the post-COVID-19 pandemic environment, strategic thinking in HRM will be required. Furthermore, our research indicates that organizations in higher education can enhance commitment and sense of belonging by developing their EI. This is particularly crucial in the aftermath of the COVID-19 crisis, and we propose using a modified approach to address the challenges posed by the pandemic [63].

As noted, SHRM practitioners play a vital role in addressing staffing challenges, such as employment classifications and work arrangements in post-COVID-19. This is in line with Vaccaro et al. [104] and Green [38] which believed that COVID-19 will likely lead to a significant reduction in staffing of academic library during the next three to five years.

Regarding compensation and benefits, which are related to employee motivation after COVID-19, the results of the current article are consistent with the previous study of Mabaso and Dlamini [105] and Shtembari et al. [44], who argued the need to redefine compensation and benefits after COVID-19 and reported that higher education institutions must strengthen their remuneration strategies in order to increase employee commitment and efficiently provide excellent results.

Strategic training, the other SHRM practices in the post-COVID-19 period, also harmonized with the previous study conducted by Thilagaraj and Rengaraj [41], emphasized retraining and showed that the post-COVID-19 workplace would need different skills and technologies than were required before COVID-19. According to a recent study conducted by Camilleri [106], higher education needs to use interactive technologies, in a post-COVID-19 era, and invest in online learning infrastructures. Additionally, this research tested the SHRM practitioner’s EI and PC in the higher education in post- COVID-19 (Hypothesis 3). This proposed hypothesis was supported. The findings revealed that PC is a key psychological pathway for SHRM practitioners to employ effective strategies in staffing, training, compensation, and performance appraisal to influence employee attitudes and behaviors. These findings support the results presented by Mihalache and Mihalache [78], Kowal et al. [80] and Wang et al. [97] and contradict the perspective of Ronnie et al. [56] who argued that psychological contracts have shifted or been breached in the COVID -19 outbreak in higher education institutions. The organization’s decision to support employees during the COVID-19 outbreak has a major impact on employee feeling and reciprocal relationship and building positive emotions in the workplace is necessary for managers to understand and ensure employee job-related well being [97]. They argue that managers with a low level of emotional competence are unable to recognize the needs of employees and motivate them in organizations. It means due to lack of emotional competencies they fail to perform effective HRM practices to fulfil employees needs and are not able to develop employees or provide an opportunity for retaining, which in turn leads to negative attitude like turnover intention and negative behaviours e.g., employee turnover. In other words, the lack of emotional competencies affects the lack of PC satisfaction. The importance of this issue is very crucial during this time of uncertainty and crisis due to the management of employees’ emotions as a result of a good feeling about working conditions.

According to survey results, PC is positively related to AOC in the higher education in post- COVID-19 (Hypothesis 4). This research findings are in line with research done during the COVID-19 outbreak and post-pandemic environment. For example, Yu [57] assume that PC fulfillment has a positive impact on intrinsic motivation, and affective commitment among 405 employees working remotely. In addition, our findings are consistent with those made by Ronnie et al. [56], who acknowledged the breach and violation of PC and suggested that in the post-COVID-19 higher education scenario, PC can be clarified and renegotiated between academics and their institutions. Universities need to be aware of how they might influence the academic-institution relationship through leadership. As it has been demonstrated to favorably influence commitment, if the psychological contract that supports this connection is correctly maintained, this is likely to have favorable consequences for all parties.

Furthermore, the results show that SHRM practitioner’s EI and PC in post-COVID-19 can improve employees’ affective commitment to the organization (H5). The correlations between PC and AOC revealed in this research are in line with those previously conducted by Karani et al. [86] and Ababneh [84] who emphasized that PC fulfilment has a significant impact on employees’ emotional attachment during the COVID-19 crisis. As discussed before, SEM results confirmed the direct influence of SHRM dimensions and indirect on AOC mediated by PC. Therefore, H5 is confirmed partly. Looking at previous studies by Kalyani [92] it could be stated that SHRM practitioners in the post epidemic era will enhance PC which in turn will lead to the high employee’s commitment. It means AOC increases not only by SHRM, but also by PC, as it was found in this study.

6. Conclusion

6.1 Theoretical implications

The results of this study contribute to our understanding of the connections between SHRM practitioners’ EI, PC, and AOC in the post-COVID-19. This study is useful as it is applicable to changing the context demonstrated in the COVID-19 pandemic. They fill a research gap identified in a general literature review by Hamouche [49] concerning strategic thinking in HRM during COVID-19. This study adds to the knowledge of resource-based theory which gives a new perspective to SHRM practitioners to implement new measures in SHRM practices, such as staffing, training, compensation, performance appraisal and social exchange theory which are related to many organizational outcomes. At the moment there are just few studies (see: Neuwirth et al. [107]; Ewing [108]; Camilleri [106]) published in post-COVID-19 environment in educational sector. However, they more focus on well-being and service quality. This study particular focuses not on educators but on SHRM practitioners of educational sector and explores their EI, PC and AOC.

The results of this study provide a number of contributions. Firstly, the study contributes to the broader application of social exchange theory to psychological contracts explaining relationship and interaction between employees and employers. Secondly, results revealed EI has a positive impact on every practice of SHRM practitioners in higher education. This finding adds to recent findings of Lee et al. [101] who identified that emotions are important competence for managers and lead to better understanding of employees’ behavior outcomes. The educational sector can achieve this by effectively implementing these strategies. This is in line with Kutieshe and Farmanesh [95] suggestions. Therefore, this study has taken different perspectives, focusing on the managers and not the employees. Moreover, the EI of managers utilizes human resources to serve the employees’ strategic needs. This element of the presented findings is an original contribution to expanding the better understanding of the role of SHRM practitioners’ EI in higher education. Fourthly, the incorporation of EI as an antecedent of SHRM provides guidance for managers in higher education on which SHRM practices are the most important for them to be more successful in their roles and for improving AOC.

6.2 Managerial and practical implications

The highlighted results could summarize when employee’s strategic needs in terms of PC fulfilled, as well as how it may help employees attached and committed to the organization emotionally. To consider employee’s needs, it is important to pay attention and adapt government plans and regulations to the organizational context. Since the COVID-19 outbreak has altered organizations and most of them overwhelmed by challenges resulting from COVID-19 (as previously pointed out by Hamouche [49], e.g., lack of trust and tension between employees and employers, it is crucial to ensure that employee’ needs is aligned with the universities’ strategic goals. Sustaining communication within an organization helps to reduce stress and increase trust [49, 109]. Not only that, but it is also crucial for higher education to communicate relevant data related to the organization’s strategic direction to their employees and transform SHRM practices into a set of people-oriented activities that promote the effective procurement and retention of employees and provide feedback to them, which will help higher educations to retain their human capital and avoid employee’s turnover in a time of crisis and after an unprecedented situation. Furthermore, SHRM practitioners should play a strategic role by supporting and employees’ training on how to overcome the difficulties and to cope with working challenges after COVID-19 related to employees’ development [110]. According to the necessity to develop lacking job security, special training could be proposed by taking strategic approach for employees. Training programs for EI development of SHRM practitioners is necessary for fostering employee’s commitment and their retention. In addition, information technology is crucial for rethinking HRM strategies for proposing new models of managing human resources to ensure sustainability of organizations. Additionally, it offers higher education organizations the opportunity to optimize traditional HR practices and improve workplace planning, foster job control and costs of their resources. Furthermore, it is necessary to provide PC, supportive environment, and cohesive culture through consultation systems for employees. Consultation systems support employees’ connections and interactions and all together could have a positive impact on AOC.

6.3 Limitations and further research directions

Firstly, the study design employed in this research was cross-sectional. To further explore how AOC changes during the post-COVID-19 period and the return to normal, it is recommended to conduct a longitudinal study. This would provide insights into how AOC progresses over time for SHRM practitioners with high or low EI. Next, a convenient sampling was used for this study, with participants selected from private universities in Tbilisi. However, self-report data are subject to sampling bias. Therefore, to reduce the likelihood of common method bias in self-reported studies in future research, the authors suggest collecting data from multiple sources, such as educators survey, document (content) analysis, focus groups. Thirdly, the study did not explore employees’ perceptions and experiences during the post-COVID 19 era, nor the role of SHRM in this context. The focus of this study was on SHRM practitioners rather than educators, which differs from most SHRM studies. However, future research could gather data from educators and compare the results.

Fourthly, while this study did not compare changes in EI post-COVID-19, it was not the main focus of the research. This could be expanded in a future study. Fifthly, future studies should consider examining other dimensions of OC, such as continuance and normative commitment, to address additional questions that were not answered in this study. Next, this research did not consider the EI of managers at different levels. The EI of middle managers or line managers at various hierarchical levels can influence the implementation of HRM practices and AOC. Therefore, it is recommended that future studies measure the EI of management in large organizations. Finally, this study focused solely on one country. To broaden the scope, future research should explore other countries and compare the results in relation to demographic characteristics. It is suggested that future studies examine the relationship between OC and post-COVID-19, how SHRM practitioners’ EI influences the OC in different countries, how SHRM influences OC, and the other factors of social exchange theory that are related to OC in different countries. Additionally, the influence of EI on PC and OC should be investigated.

6.4 Conclusion

The findings from the current study highlight the importance of EI among SHRM practitioners in university management during the post-COVID-19 period in Georgia. It is worth noting that this research was conducted at a crucial time when continuous development and commitment were identified as key challenges for the future development of Georgian educational institutions, with the aim of aligning them with European higher education standards. The adoption of new legislation from different countries can provide support to higher education organizations in times of crises and unexpected transformations. The results of the study indicate that SHRM can enhance AOC. Furthermore, SHRM, with its four dimensions, indirectly influences AOC through its mediation by PC. Additionally, the findings demonstrate that EI skills are essential for managers to possess in order to develop effective strategies. SHRM practitioners with high EI are more likely to prioritize the long-term needs of employees, such as creating motivating working conditions and providing opportunities for professional development. It is important to recognize that the higher education landscape is undergoing significant changes in the post-COVID-19 environment, which necessitates the renegotiation of the PC between employees and their universities. Furthermore, maintaining positive relationships within the workplace is crucial for fostering a sense of self-worth, belonging, and community, which ultimately leads to higher levels of AOC.

Supporting information

S1 Appendix. Methods and sampling.

(DOCX)

S2 Appendix. Variables and measures.

(DOCX)

Data Availability

All relevant data are within the paper and its Supporting Information files.

Funding Statement

The authors received no specific funding for this work.

References

  • 1.Teng-Calleja M., et al., Building organization and employee resilience in disaster contexts. International Journal of Workplace Health Management, 2020. 13(4): p. 393–411. [Google Scholar]
  • 2.Malousis A.T., Zefkilis P.N., and Daglis T., Employment in the 21st Century: Pre-and Post-COVID-19 Changes. Encyclopedia, 2023. 3(3): p. 853–869. [Google Scholar]
  • 3.Cave D. More than half of employers think UK is set for more unstable employment relations, research finds. 2022. 12 July; Available from: https://www.peoplemanagement.co.uk/article/1792827/half-employers-think-uk-set-unstable-employment-relations-research-finds. [Google Scholar]
  • 4.Aguilar Yuste M., Leadership and Emotional Intelligence during a Crisis. Revista de Relaciones Internacionales, Estrategia y Seguridad, 2021. 16(2): p. 47–60. [Google Scholar]
  • 5.Ugoani J., Emotional intelligence and its impact on effective human resource management. International Journal of Economics and Financial Research, 2021. 7(1): p. 5–13. [Google Scholar]
  • 6.Cuéllar-Molina D., García-Cabrera A.M., and Déniz-Déniz M.d.l.C, Emotional intelligence of the HR decision-maker and high-performance HR practices in SMEs. European Journal of Management and Business Economics, 2019. 28(1): p. 52–89. [Google Scholar]
  • 7.Nordin N., The influence of emotional intelligence, leadership behaviour and organizational commitment on organizational readiness for change in higher learning institution. Procedia-Social and Behavioral Sciences, 2011. 29: p. 129–138. [Google Scholar]
  • 8.Allui A. and Sahni J., Strategic human resource management in higher education institutions: empirical evidence from Saudi. Procedia-Social and Behavioral Sciences, 2016. 235: p. 361–371. [Google Scholar]
  • 9.Boni A., Lopez-Fogues A., and Walker M., Higher education and the post-2015 agenda: A contribution from the human development approach. Journal of Global Ethics, 2016. 12(1): p. 17–28. [Google Scholar]
  • 10.Hunter M. Turning Malaysia’s failure in education into great success. 2022; Available from: https://www.freemalaysiatoday.com/category/opinion/2022/04/26/reimagining-malaysian-higher-education/. [Google Scholar]
  • 11.Sihite O.B. and Tukiran M., The effect of Strategic Human Resource Management Research in Higher Education Institution. International Journal of Social, Policy and Law, 2020. 1(1): p. 63–72. [Google Scholar]
  • 12.Zaitseva N.A., et al., The Main Strategic Directions of the Education System Development (on the Example of Higher Education Institutions on Personnel Education for the Hospitality Industry). International journal of environmental and science education, 2016. 11(16): p. 9155–9168. [Google Scholar]
  • 13.Bitsadze M. and Japaridze M., Pilot study of teacher burnout in Georgian context. Problems of Management in the 21st Century, 2011. 2: p. 36–44. [Google Scholar]
  • 14.Jibladze E. and Glonti L., Higher education systems and institutions, Georgia. Encyclopedia of International Higher Education Systems and Institutions, 2018. 10: p. 978–94. [Google Scholar]
  • 15.Romanelli F., Cain J., and Smith K.M., Emotional intelligence as a predictor of academic and/or professional success. American journal of pharmaceutical education, 2006. 70(3). doi: 10.5688/aj700369 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Thorndike E.L., A constant error in psychological ratings. Journal of applied psychology, 1920. 4(1): p. 25–29. [Google Scholar]
  • 17.Salovey P. and Mayer J.D., Emotional intelligence. Imagination, cognition and personality, 1990. 9(3): p. 185–211. [Google Scholar]
  • 18.McClelland D.C., Testing for competence rather than for" intelligence.". American psychologist, 1973. 28(1): p. 1. doi: 10.1037/h0034092 [DOI] [PubMed] [Google Scholar]
  • 19.Gardner H.E., Frames of mind: The theory of multiple intelligences. 2011: Basic books. [Google Scholar]
  • 20.Mayer J.D., et al., Emotional intelligence. 2011. [Google Scholar]
  • 21.Goleman D., The emotionally competent leader. The Healthcare Forum journal, 1998. 41(2): p. 36, 38, 76. [PubMed] [Google Scholar]
  • 22.Cho S., Drasgow F., and Cao M., An investigation of emotional intelligence measures using item response theory. Psychological assessment, 2015. 27(4): p. 1241. doi: 10.1037/pas0000132 [DOI] [PubMed] [Google Scholar]
  • 23.Mayer J.D., et al., Emotional intelligence as a standard intelligence. 2001. [PubMed] [Google Scholar]
  • 24.Mayer J.D., Caruso D.R., and Salovey P., Emotional intelligence meets. 1997, Elsevier: Amsterdam, The Netherlands. [Google Scholar]
  • 25.Meisler G. and Vigoda-Gadot E., Perceived organizational politics, emotional intelligence and work outcomes: Empirical exploration of direct and indirect effects. Personnel Review, 2014. 43(1): p. 116–135. [Google Scholar]
  • 26.Bar-On R., BarOn emotional quotient inventory. Vol. 40. 1997: Multi-health systems. [Google Scholar]
  • 27.Petrides K.V., Pita R., and Kokkinaki F., The location of trait emotional intelligence in personality factor space. British journal of psychology, 2007. 98(2): p. 273–289. doi: 10.1348/000712606X120618 [DOI] [PubMed] [Google Scholar]
  • 28.Joseph D.L. and Newman D.A., Emotional intelligence: an integrative meta-analysis and cascading model. Journal of applied psychology, 2010. 95(1): p. 54. doi: 10.1037/a0017286 [DOI] [PubMed] [Google Scholar]
  • 29.Nevins M. Why A Post-Covid World Demands Greater Emotional Intelligence. 2022; Available from: https://www.forbes.com/sites/hillennevins/2020/09/29/why-a-post-covid-world-demands-greater-emotional-intelligence/?sh=19c6e4246bbd. [Google Scholar]
  • 30.Wright P.M. and Steinbach A.L., Pivoting after almost 50 years of SHRM research: toward a stakeholder view. Asia Pacific Journal of Human Resources, 2022. 60(1): p. 22–40. [Google Scholar]
  • 31.Przytuła S., Strzelec G., and Krysińska-Kościańska K., Re-vision of future trends in human resource management (HRM) after COVID-19. Journal of Intercultural Management, 2020. 12(4): p. 70–90. [Google Scholar]
  • 32.Collings D.G., et al., Strategic human resource management and COVID‐19: Emerging challenges and research opportunities. Journal of Management Studies, 2021. 58(5): p. 1378. [Google Scholar]
  • 33.Ng E. and Stanton P., The great resignation: managing people in a post COVID-19 pandemic world. Personnel Review, 2023. 52(2): p. 401–407. [Google Scholar]
  • 34.Ployhart R.E., Staffing in the 21st century: New challenges and strategic opportunities. Journal of management, 2006. 32(6): p. 868–897. [Google Scholar]
  • 35.Campello M., Kankanhalli G., and Muthukrishnan P., Corporate hiring under COVID-19: Labor market concentration, downskilling, and income inequality. 2020, National Bureau of economic research. [Google Scholar]
  • 36.Bieńkowska A., et al., COVID-19 oriented HRM strategies influence on job and organizational performance through job-related attitudes. PLOS ONE, 2022. 17(4): p. e0266364. doi: 10.1371/journal.pone.0266364 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Shi L. Recruiting in the Post-COVID Era–Strategies for Attracting and Retaining Talent in Asia. 2022; Available from: https://www.china-briefing.com/news/recruiting-in-the-post-covid-era-strategies-for-attracting-and-retaining-talent-in-asia/. [Google Scholar]
  • 38.Green A., Post covid-19: Expectations for academic library collections, remote work, and resource description and discovery staffing. The Journal of Academic Librarianship, 2022. 48(4): p. 102564. [Google Scholar]
  • 39.Avant Healthcare Professional. 2022; Available from: https://avanthealthcare.com/pdf/Guide-to-Nurse-Staffing-Post-COVID-19.pdf. [Google Scholar]
  • 40.Sirras G.A.a.T. The Impact of COVID-19 on Executive Compensation. 2020; Available from: https://corpgov.law.harvard.edu/2020/03/27/the-impact-of-covid-19-on-executive-compensation/. [Google Scholar]
  • 41.Thilagaraj A. and Rengaraj S., Training and Development in A Post-Covid-19 Workplace. Utkal Historical Research Journal, 2021. 34: p. 19. [Google Scholar]
  • 42.Dessler G., Fundamentals of human resource management. 2020: Pearson. [Google Scholar]
  • 43.Leibowitz A., Fringe benefits in employee compensation, in The measurement of labor cost. 1983, University of Chicago Press. p. 371–394. [Google Scholar]
  • 44.Shtembari E., Kufo A., and Haxhinasto D., Employee compensation and benefits pre and post COVID-19. Administrative Sciences, 2022. 12(3): p. 106. [Google Scholar]
  • 45.Aguinis H., Performance management for dummies. 2019: John Wiley & Sons. [Google Scholar]
  • 46.Gallup I., State of the global workplace report. Gallup. com. Retrieved July, 2022. 21: p. 2022. [Google Scholar]
  • 47.Guo H.-S., et al., Post-COVID-19 Recovery: An Integrated Framework of Construction Project Performance Evaluation in China. Systems, 2023. 11(7): p. 359. [Google Scholar]
  • 48.Aguinis H. and Burgi-Tian J., Talent management challenges during COVID-19 and beyond: Performance management to the rescue. BRQ Business Research Quarterly, 2021. 24(3): p. 233–240. [Google Scholar]
  • 49.Hamouche S., Human resource management and the COVID-19 crisis: Implications, challenges, opportunities, and future organizational directions. Journal of Management & Organization, 2021: p. 1–16. [Google Scholar]
  • 50.Rousseau D.M. and McLean Parks J., The contracts of individuals and organizations. Research in organizational behavior, 1993. 15: p. 1–1. [Google Scholar]
  • 51.Macneil I.R., Relational contract: What we do and do not know. Wis. L. Rev., 1985: p. 483. [Google Scholar]
  • 52.Rousseau D., Psychological contracts in organizations: Understanding written and unwritten agreements. 1995: Sage publications. [Google Scholar]
  • 53.Lopez P.D. and Fuiks K., How COVID-19 is shifting psychological contracts within organizations. Industrial and Organizational Psychology, 2021. 14(1–2): p. 45–49. [Google Scholar]
  • 54.Coetzee M. and Deas A., Redefining the psychological contract in the digital era: Issues for research and practice. 2021: Springer. [Google Scholar]
  • 55.Mark S., How to create a post-pandemic social contract. 2020. [Google Scholar]
  • 56.Ronnie L., du Plessis M., and Walters C., Women academics and the changing psychological contract during COVID-19 lockdown. Frontiers in Psychology, 2022. 13. doi: 10.3389/fpsyg.2022.940953 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Yu D., et al., Psychological contract breach and job performance of new generation of employees: Considering the mediating effect of job burnout and the moderating effect of past breach experience. Frontiers in Psychology, 2022. 13: p. 985604. doi: 10.3389/fpsyg.2022.985604 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Howe D.C., et al., Paradigm shifts caused by the COVID-19 pandemic. Organizational dynamics, 2021. 50(4): p. 100804. doi: 10.1016/j.orgdyn.2020.100804 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Cassar V., et al., COVID-19 and Its Impact on the Psychological Contract of Employers and Employees, in Handbook of Research on Challenges for Human Resource Management in the COVID-19 Era, Figueiredo P.C.N, Tomé E.L.d.C.S, and Rouco J.C.D, Editors. 2022, IGI Global: Hershey, PA, USA. p. 269–286. [Google Scholar]
  • 60.Meglio F.D. Human Resources Management for the New Normal. 2022; Available from: https://www.hrexchangenetwork.com/hr-talent-management/articles/human-resources-for-the-new-normal. [Google Scholar]
  • 61.Limon I., Relationship between empowering leadership and teachers’ job performance: organizational commitment as mediator. Journal of Theoretical Educational Science, 2022. 15(1): p. 16–41. [Google Scholar]
  • 62.Meyer J.P., Allen N.J., and Smith C.A., Commitment to organizations and occupations: Extension and test of a three-component conceptualization. Journal of applied psychology, 1993. 78(4): p. 538. [Google Scholar]
  • 63.Akartuna I.Ş.S. and Serin O., COVID-19 Impact on teachers’ organizational commitment in schools. Frontiers in Psychology, 2022. 13: p. 810015. doi: 10.3389/fpsyg.2022.810015 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Becker H.S., Notes on the concept of commitment. American journal of Sociology, 1960. 66(1): p. 32–40. [Google Scholar]
  • 65.Koch J.L. and Steers R.M., Job attachment, satisfaction, and turnover among public sector employees. Journal of Vocational Behavior, 1978. 12(1): p. 119–128. [Google Scholar]
  • 66.Chanana N., The impact of COVID-19 pandemic on employees organizational commitment and job satisfaction in reference to gender differences. Journal of Public Affairs, 2021. 21(4): p. e2695. doi: 10.1002/pa.2695 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Kaushik M. and Guleria N., Employee relations and engagement during COVID-19. Employee Relations, 2019. 2(3): p. 1–11. [Google Scholar]
  • 68.Gutierrez-Gutierrez L.J., Barrales-Molina V., and Kaynak H., The role of human resource-related quality management practices in new product development. International Journal of Operations & Production Management, 2018. 38(1): p. 43–66. [Google Scholar]
  • 69.Al Adresi A. and Darun M.R., Determining relationship between strategic human resource management practices and organizational commitment. International Journal of Engineering Business Management, 2017. 9: p. 184797901773166. [Google Scholar]
  • 70.Goodlet K.J., et al., Impact of the COVID-19 pandemic on the emotional intelligence of student pharmacist leaders. American journal of pharmaceutical education, 2022. 86(1). doi: 10.5688/ajpe8519 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Signorelli A., Morganti A., and Pascoletti S., Boosting emotional intelligence in the post-Covid. Flexible approaches in teaching social and emotional skills. Form@ re-Open Journal per la formazione in rete, 2021. 21(3): p. 41–58. [Google Scholar]
  • 72.Zampetakis L.A. and Moustakis V., Managers’ Trait Emotional Intelligence and Group Outcomes: The Case of Group Job Satisfaction. Small Group Research, 2010. 42(1): p. 77–102. [Google Scholar]
  • 73.Li Y., Zhang L., and Yan X., How Does Strategic Human Resource Management Impact on Employee Voice Behavior and Innovation Behavior With Mediating Effect of Psychological Mechanism. Frontiers in Psychology, 2022. 13. doi: 10.3389/fpsyg.2022.920774 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Blau P.M., Justice in Social Exchange. Sociological Inquiry, 1964. 34(2): p. 193–206. [Google Scholar]
  • 75.Han J.H., et al., The Goldilocks Effect of Strategic Human Resource Management? Optimizing the Benefits of a High-Performance Work System Through the Dual Alignment of Vertical and Horizontal Fit. Academy of Management Journal, 2018. 62. [Google Scholar]
  • 76.Woodrow C. and Guest D.E., Pathways through organizational socialization: A longitudinal qualitative study based on the psychological contract. Journal of Occupational and Organizational Psychology, 2020. 93(1): p. 110–133. doi: 10.1111/joop.12285 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Zhao C. and Lyu B., The research of the mutual influence of the strategy of HR management, psychological contract fulfillment and employee performance. Journal of International Studies, Prince of Songkla University, 2022. 12(1): p. 234–280. [Google Scholar]
  • 78.Mihalache M. and Mihalache O.R., How workplace support for the COVID‐19 pandemic and personality traits affect changes in employees’ affective commitment to the organization and job‐related well‐being. Human resource management, 2022. 61(3): p. 295–314. doi: 10.1002/hrm.22082 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Goleman D. and Intelligence E., Why it can matter more than IQ. Emotional intelligence, 1995. [Google Scholar]
  • 80.Kowal M., et al., Who is the most stressed during the COVID‐19 pandemic? Data from 26 countries and areas. Applied Psychology: Health and Well‐Being, 2020. 12(4): p. 946–966. doi: 10.1111/aphw.12234 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Kutaula S., Gillani A., and Budhwar P.S., An analysis of employment relationships in Asia using psychological contract theory: A review and research agenda. Human Resource Management Review, 2020. 30(4): p. 100707. [Google Scholar]
  • 82.Coetzee M., When Protean Career Values Intertwine with Employee–Employer Obligations: Reviewing Digital Era Work Mindsets for Modern Psychological Contract Practices. Redefining the Psychological Contract in the Digital Era: Issues for Research and Practice, 2021: p. 95–109. [Google Scholar]
  • 83.Deas A. and Coetzee M., A value-oriented psychological contract: Generational differences amidst a global pandemic. Frontiers in Psychology, 2022. 13. doi: 10.3389/fpsyg.2022.921184 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Ababneh K.I., Effects of met expectations, trust, job satisfaction, and commitment on faculty turnover intentions in the United Arab Emirates (UAE). The International Journal of Human Resource Management, 2020. 31(2): p. 303–334. [Google Scholar]
  • 85.Agarwal U., Linking justice, trust and innovative work behaviour to work engagement. Personnel Review, 2014. 43. [Google Scholar]
  • 86.Karani A., Trivedi P., and Thanki H., Psychological contract and work outcomes during COVID-19 pandemic. Journal of Organizational Effectiveness: People and Performance, 2022. 9(1): p. 149–168. [Google Scholar]
  • 87.Kim M. and Kim J., Corporate social responsibility, employee engagement, well-being and the task performance of frontline employees. Management Decision, 2021. 59(8): p. 2040–2056. [Google Scholar]
  • 88.Coyle‐Shapiro J. and Kessler I., Consequences of the psychological contract for the employment relationship: A large scale survey. Journal of management studies, 2000. 37(7): p. 903–930. [Google Scholar]
  • 89.Pataki-Bittó F. and Kapusy K., Work environment transformation in the post COVID-19 based on work values of the future workforce. Journal of Corporate Real Estate, 2021. 23(3): p. 151–169. [Google Scholar]
  • 90.Moment R., Emotional Intelligence Test. 2022: Alpha Book Publisher. [Google Scholar]
  • 91.Masa’deh R. e., B.Y. Obeidat, and A. Tarhini, A Jordanian empirical study of the associations among transformational leadership, transactional leadership, knowledge sharing, job performance, and firm performance: A structural equation modelling approach. Journal of Management Development, 2016. 35(5): p. 681–705. [Google Scholar]
  • 92.Kalyani V., The Employee Engagement on Human Resources Information System Practice Through E-Learning Training. Easy Chair Preprint NO, 2021. 5856. [Google Scholar]
  • 93.Kim T.-Y. and Liu Z., Taking charge and employee outcomes: the moderating effect of emotional competence. The International Journal of Human Resource Management, 2017. 28(5): p. 775–793. [Google Scholar]
  • 94.Salovey P., et al., Emotional attention, clarity, and repair: Exploring emotional intelligence using the Trait Meta-Mood Scale. 1995. [Google Scholar]
  • 95.Kutieshat R. and Farmanesh P., The impact of new human resource management practices on innovation performance during the COVID 19 crisis: A new perception on enhancing the educational sector. Sustainability, 2022. 14(5): p. 2872. [Google Scholar]
  • 96.Millward L.J. and Hopkins L.J., Psychological contracts, organizational and job commitment. Journal of Applied Social Psychology, 1998. 28(16): p. 1530–1556. [Google Scholar]
  • 97.Wang J., Ma J., and Li Y., The impact of network embeddedness on the innovation performance of new generation of employees in the post-COVID-19 era—the mediating role of psychological contract. Frontiers in Psychology, 2022. 13: p. 737945. doi: 10.3389/fpsyg.2022.737945 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 98.Allen N.J. and Meyer J.P., The measurement and antecedents of affective, continuance and normative commitment to the organization. Journal of occupational psychology, 1990. 63(1): p. 1–18. [Google Scholar]
  • 99.Fornell C. and Larcker D.F., Structural equation models with unobservable variables and measurement error: Algebra and statistics. 1981, Sage Publications Sage CA: Los Angeles, CA. [Google Scholar]
  • 100.Hair J.F., Ringle C.M., and Sarstedt M., Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance. Long Range Planning, 2013. 46(1): p. 1–12. [Google Scholar]
  • 101.Lee C.-c., et al., The Effects of Leader Emotional Intelligence, Leadership Styles, Organizational Commitment, and Trust on Job Performance in the Real Estate Brokerage Industry. Frontiers in psychology, 2022. 13: p. 881725. doi: 10.3389/fpsyg.2022.881725 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102.Rasli A., et al., Post-COVID-19 strategies for higher education institutions in dealing with unknown and uncertainties. Frontiers in Education, 2022. 7. [Google Scholar]
  • 103.Sharma P. and Sharma R., Impact of covid-19 on mental health and aging. Saudi J Biol Sci, 2021. 28(12): p. 7046–7053. doi: 10.1016/j.sjbs.2021.07.087 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104.Vaccaro A.R., et al., Practice management during the COVID-19 pandemic. The Journal of the American Academy of Orthopaedic Surgeons, 2020. doi: 10.5435/JAAOS-D-20-00379 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 105.Mabaso C.M. and Dlamini B.I., Recent study on the impact of compensation and benefits on job satisfaction. Insights into Economics and Management, 2021. 7: p. 55–68. [Google Scholar]
  • 106.Camilleri M.A., Evaluating service quality and performance of higher education institutions: a systematic review and a post-COVID-19 outlook. International Journal of Quality and Service Sciences, 2021. 13(2): p. 268–281. [Google Scholar]
  • 107.Neuwirth L.S., Jović S., and Mukherji B.R., Reimagining higher education during and post-COVID-19: Challenges and opportunities. Journal of Adult and Continuing Education, 2021. 27(2): p. 141–156. [Google Scholar]
  • 108.Ewing L.-A., Rethinking higher education post COVID-19. The Future of Service Post-COVID-19 Pandemic, Volume 1: Rapid Adoption of Digital Service Technology, 2021: p. 37–54. [Google Scholar]
  • 109.Fuertes-Camacho M.T., Dulsat-Ortiz C., and Álvarez-Cánovas I., Reflective practice in times of COVID-19: a tool to improve education for sustainable development in pre-service teacher training. Sustainability, 2021. 13(11): p. 6261. [Google Scholar]
  • 110.Fond G., et al., Barriers and opportunities for the continuous training of healthcare professionals in the post-Covid era. 2022. p. S0013–7006 (22) 00055–0. [DOI] [PubMed] [Google Scholar]

Decision Letter 0

Rogis Baker

25 Sep 2023

PONE-D-23-26406strategic human resource management practitioners’ emotional intelligence and affective organizational commitment in higher education institutions in Georgia during post-COVID-19PLOS ONE

Dear Dr. Anvari,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

Please submit your revised manuscript by Nov 09 2023 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

  • A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.

  • A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.

  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols.

We look forward to receiving your revised manuscript.

Kind regards,

Rogis Baker, Ph.D

Academic Editor

PLOS ONE

Journal Requirements:

When submitting your revision, we need you to address these additional requirements.

1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at 

https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and 

https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf

2. Please provide additional details regarding participant consent. In the ethics statement in the Methods and online submission information, please ensure that you have specified (1) whether consent was informed and (2) what type you obtained (for instance, written or verbal, and if verbal, how it was documented and witnessed). If your study included minors, state whether you obtained consent from parents or guardians. If the need for consent was waived by the ethics committee, please include this information.

If you are reporting a retrospective study of medical records or archived samples, please ensure that you have discussed whether all data were fully anonymized before you accessed them and/or whether the IRB or ethics committee waived the requirement for informed consent. If patients provided informed written consent to have data from their medical records used in research, please include this information.

3. Thank you for stating the following financial disclosure: 

   "This research received no external funding. "

At this time, please address the following queries:

a) Please clarify the sources of funding (financial or material support) for your study. List the grants or organizations that supported your study, including funding received from your institution. 

b) State what role the funders took in the study. If the funders had no role in your study, please state: “The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.”

c) If any authors received a salary from any of your funders, please state which authors and which funders.

d) If you did not receive any funding for this study, please state: “The authors received no specific funding for this work.”

Please include your amended statements within your cover letter; we will change the online submission form on your behalf.

4. PLOS requires an ORCID iD for the corresponding author in Editorial Manager on papers submitted after December 6th, 2016. Please ensure that you have an ORCID iD and that it is validated in Editorial Manager. To do this, go to ‘Update my Information’ (in the upper left-hand corner of the main menu), and click on the Fetch/Validate link next to the ORCID field. This will take you to the ORCID site and allow you to create a new iD or authenticate a pre-existing iD in Editorial Manager. Please see the following video for instructions on linking an ORCID iD to your Editorial Manager account: https://www.youtube.com/watch?v=_xcclfuvtxQ

5. Please ensure that you include a title page within your main document. You should list all authors and all affiliations as per our author instructions and clearly indicate the corresponding author.

6. Please include your full ethics statement in the ‘Methods’ section of your manuscript file. In your statement, please include the full name of the IRB or ethics committee who approved or waived your study, as well as whether or not you obtained informed written or verbal consent. If consent was waived for your study, please include this information in your statement as well. 

7. Please include captions for your Supporting Information files at the end of your manuscript, and update any in-text citations to match accordingly. Please see our Supporting Information guidelines for more information: http://journals.plos.org/plosone/s/supporting-information. 

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Partly

Reviewer #3: Yes

Reviewer #4: Yes

Reviewer #5: Yes

**********

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: No

Reviewer #4: Yes

Reviewer #5: Yes

**********

3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: Yes

Reviewer #4: Yes

Reviewer #5: No

**********

4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: No

Reviewer #3: Yes

Reviewer #4: Yes

Reviewer #5: Yes

**********

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: Although, author has found positive correlations between EI and SHRM (hypothesis 1) and SHRM and PC (hypothesis 3) mentioned at line number 561 and 563, but these correlations are not very strong. Therefore reasons for the same may be explained.

Reviewer #2: The idea is good and there is a lot of potential in the topic. However, the writing needs improvement in terms of sentence construction, flow and consistency in Abstract, Introduction and Discussion. Also, there are some mistakes which need to be removed.

Abstract and Introduction

The rationale of the study needs to be refined. It is not clear why the study needs to be done from the strategic HRM professionals’ perspective in the higher education domain. Sentences need to be reworded (e.g line 13 to 16, line 35-38), some vocabulary needs to be modified (e.g. procure in line 20) and consistency in arguments need to be revisited (Line 63-65).

Theory and Hypothesis

Literature on EI and SHRM is well covered. However, The SHRM variable needs to be conceptualized more clearly, specifically in terms of literature indicating its significance in the higher education domain. Also, OC can be elaborated further in terms of the three components.

Arguments for hypotheses need to be more clear and detailed, and with direct reference to higher education sector.

Data Analysis and Discussion

Data analysis is strong

Table 2 needs to be labelled appropriately. The table is giving information about Discriminant Validity but doesn’t contain any values representing it.

The arguments in discussion need to be more convincing about the results being specific to the context of Covid-19 situation (contribution stated) and contribution to the higher education domain.

General Comments

There seem to be some errors. In some places in analysis, SHRM is mentioned as an independent variable (Section 4.1.2). Also, the paper mentions POS at the end, which is not a variable under study. AOC and OC seem to have been used interchangeably through all the sections of the paper. In some places, the paper is talking about PC of employees, and in other places PC of SHRM practitioners.

Reviewer #3: The topic under consideration is intriguing and warrants significant attention from both scholars and practitioners within the realm of higher education, especially following the COVID-19 endemic. The study commences with a compelling introduction that sets a strong foundation. Overall, the research problem addressed in this paper holds substantial practical and academic significance. However, there are some notable issues that require attention. My recommendation for the current version of the paper is to undergo minor revisions. The authors are encouraged to address and provide responses to the following concerns.

1. Throughout the manuscript, there are instances where the author has employed subjective language, notably the use of "We." It is advisable for the author to carefully review these instances and consider removing such subjective language to enhance the paper's objectivity.

2. In the theoretical framework, it is essential to establish a more explicit connection to recent research within the higher education sector, particularly in the context of the post-COVID-19 environment. The author has made efforts to engage in discussions across various sectors; however, it is noticeable that the higher education sector is conspicuously absent.

3. The author has repeatedly emphasized the need for SHRM practitioners to address various questions to tackle the challenges outlined. However, there is ambiguity regarding whether all of these questions directly contribute to the outcomes presented in the paper. Furthermore, in the discussion section, these questions are not adequately addressed in the context of the study. It is essential to provide clarity and reframe these questions within the specific context of the research.

4. Upon utilizing the provided outer loading, I randomly attempted to compute the Composite Reliability (CR), Average Variance Extracted (AVE), and the square root of AVE. However, it has come to my attention that there is a significant disparity in the calculated values. Here are a few examples for clarity:

• For the AOC Construct: CR = 0.780, AVE = 0.47649075, and the square root of AVE = 0.690283094.

• For the SHRM_ST Construct: CR = 0.724, AVE = 0.469198, and the square root of AVE = 0.684980292.

These calculations indicate a discrepancy that warrants attention and clarification. Please re-analyze and calculate the entire construct to avoid such inconsistency.

Additionally, it's important to assess reliability, convergent validity and discriminant validity for the overall construct to ensure that they are measuring distinct aspects of the construct and are related to other constructs in the expected ways.

Reviewer #4: 1. Introduction: main points are mentioned, but there are some discrepancies.

(1) Research objective has some ambiguity. research objective should not be confused with implications. research objective is more about the relationship between the two and the many, rather than about implications. It can be changed to "Being a strong sense of commitment among employees can positively promote the organisation's future success. "

(2) Unclear definition of research gap. There is no talk of research gaps in which niche.

(3) Try to avoid the use of first person.

2. The literature review is not adequate and there are numerous omissions.

(1) The Theoretical framework needs further definition of relevant involved concepts or variables, i.e., you need to use the definition of concepts in this paper. For example, "In this study, EI is defined as..."

(2) Some definitional errors. For example, "Strategic Human Resource Management (first introduced in the 1990s) "

Reference:

[1]Hartel, C. E. J., & Fujimoto, Y. (2014). Human Resource Management (3rd ed.). Pearson Education.

[2]Roehl, M. T. (2019). The impact of SHRM on the psychological contract of employees: A typology and research agenda. Personnel Review, 48(6), 1580–1595. https://doi.org/10.1108/pr-02-2018-0063

[3]Wright, P. M., & Steinbach, A. L. (2022). Pivoting after almost 50 years of SHRM research: toward a stakeholder view. Asia Pacific Journal of Human Resources, 60(1), 22–40. https://doi.org/10.1111/1744-7941.12308

(3) Many parts lack relevant literature review and do not do a good work on literature search.

(i) In the section of SHRM, there are many opinions and definitions, but there is a lack of relevant theoretical support.

(ii) In part 2.2.3, how to find out the form of "Compensation"? Some literature review and summarisation is needed;

(4) Inappropriate placement of the question. Try to avoid using a lot of questions in section 2.2.3.

3. Overall, there are some research contributions, but not much. A large number of articles have been published to study the relationship between the elements of SHRM, EI, PC and so on, while the research contribution of this article focuses on the specific practice field or industrial, and the contribution to the related theories is not much. Further contributions to relevant theories need to be strengthened if further publications are required.

Reviewer #5: Dear Author

Thank you for submitting your paper to this journal.

I read your paper and gave my concern down here:

1. It seems that the title is too long and thus, the reader or audience might loose their focuses while reading. I am recommending to shorten it.

2. The abstract is not exhaustive. I will suggest to simplify and follow IMRaD concept to present it.

3. The research problem is not adequately justified.

4. Would you add CMB issue as self-reports are there.

Wish you all the best.

**********

6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Reviewer #2: Yes: Smita Chaudhry

Reviewer #3: Yes: Hasanuzzaman Tushar

Reviewer #4: No

Reviewer #5: No

**********

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.

PLoS One. 2023 Dec 22;18(12):e0295084. doi: 10.1371/journal.pone.0295084.r002

Author response to Decision Letter 0


8 Nov 2023

Dear Editor,

The manuscript has been revised according to the suggestions and comments of the reviewers.

Please kindly note that a new analysis has been added and the major revised parts are highlighted in yellow color for your convenience of re-reviewing. I hope that it's now suitable for publication. We are thankful to the reviewer for the time and effort spent on reviewing our paper. We believe that these comments help us reduce the possible confusion in the text with respect to paper’s novelty and rigor that appear to have arisen due to lack of sufficient clarity in the original version. Kindly find the attache file.

Best regards,

Roya Anvari

Attachment

Submitted filename: Response to Reviewers.docx

Decision Letter 1

Rogis Baker

15 Nov 2023

strategic human resource management practitioners’ emotional intelligence and affective organizational commitment in higher education institutions in Georgia during post-COVID-19

PONE-D-23-26406R1

Dear Dr. Roya Anvari

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org.

If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

Kind regards,

Rogis Baker, Ph.D

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Acceptance letter

Rogis Baker

14 Dec 2023

PONE-D-23-26406R1

PLOS ONE

Dear Dr. Anvari,

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now being handed over to our production team.

At this stage, our production department will prepare your paper for publication. This includes ensuring the following:

* All references, tables, and figures are properly cited

* All relevant supporting information is included in the manuscript submission,

* There are no issues that prevent the paper from being properly typeset

If revisions are needed, the production department will contact you directly to resolve them. If no revisions are needed, you will receive an email when the publication date has been set. At this time, we do not offer pre-publication proofs to authors during production of the accepted work. Please keep in mind that we are working through a large volume of accepted articles, so please give us a few weeks to review your paper and let you know the next and final steps.

Lastly, if your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

If we can help with anything else, please email us at customercare@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Rogis Baker

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Appendix. Methods and sampling.

    (DOCX)

    S2 Appendix. Variables and measures.

    (DOCX)

    Attachment

    Submitted filename: Response to Reviewers.docx

    Data Availability Statement

    All relevant data are within the paper and its Supporting Information files.


    Articles from PLOS ONE are provided here courtesy of PLOS

    RESOURCES