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PLOS One logoLink to PLOS One
. 2025 Apr 4;20(4):e0319948. doi: 10.1371/journal.pone.0319948

Influences of atmospherics on customer satisfaction and behavioural intentions in the restaurant industry: Evidence from an emerging economy

Mananage Shanika Hansini Rathnasiri 1,*, Pawan Kumar 2, Bindu Aggarwal 3, Kiran Nair 4, Narayanage Jayantha Dewasiri 5,6
Editor: Yasuko Kawahata7
PMCID: PMC11970681  PMID: 40184398

Abstract

The emergence of the food service industry is among the most promising sectors that open many great opportunities for its development. Restaurants are also a part of the world’s economy. This is reflected in the increasing demand for high-quality, upscale dining experiences. The restaurant industry is well-positioned for future growth. However, few researchers have explored the impact of restaurant attributes on overall customer satisfaction and behavioural intentions in the context of fine dining restaurants. This study investigates how restaurant attributes influence overall satisfaction and behavioural intentions in an emerging economy such as India. To explore this relationship, we adopted the Stimulus-Organism-Response (SOR) theory proposed by Mehrabian and Russell (1974) [1]. The results show that restaurant attributes can lead to higher customer satisfaction rates, benefiting the industry. Restaurant attributes also play an essential role in creating a positive customer dining experience. Restaurant attributes help provide thoughtful customer service, such as assisting with menu items, remembering customers’ names, or providing helpful suggestions, which can also show customers that they are valued.

1. Introduction

In the highly competitive food service industry, restaurants in emerging economies face the challenge of creating memorable dining experiences that differentiate themselves and foster customer loyalty. Restaurant appearance, which includes the physical environment, atmosphere, and overall aesthetics, is essential in shaping customers’ perceptions, emotions, and preferences [1,2]. Restaurants have become an integral part of society, providing people a place to gather, share meals and create memories. For many, restaurants are a place to relax, enjoy a meal and create lasting memories with family and friends. According to the National Restaurant Association of India, India Food Services Report, 2024, the Indian food industry is estimated to be Rs 5,69,487 crore for FY24. It is expected to grow to 7,76,511 crores by FY28, achieving a CAGR of 8.1 per cent, and it will grow with a CAGR of 13.2% [2]. These figures highlight the importance of the restaurant industry in an emerging economy, India and demonstrate its potential for further growth.

Fine Dining restaurants offer a unique and luxurious experience that draws in customers from all walks of life. Whether they are looking for a special occasion, a romantic dinner, or simply a break from the every day, the lure of a fine dining restaurant can be irresistible. The popularity of these establishments is often attributed to their reputation for quality, ambience, and service. This reflects the increasing demand for high-quality, upscale dining experiences. Overall, the growth of the fine dining sector is a positive sign for the restaurant industry. With the number of fine dining establishments and rising spending, this restaurant industry segment is well-positioned for future growth [3].

Fine dining restaurants have a certain level of sophistication associated with them. According to The Spruce Eats, these restaurants usually offer a more formal atmosphere and often have a dress code that patrons must follow. Additionally, they typically have an extensive menu of high-quality dishes prepared with fresh, gourmet ingredients. Moreover, they are known for their attentive, knowledgeable servers and attention to detail regarding presentation. Lastly, fine dining restaurants usually have a higher price point than other restaurants, with meals typically costing more than $30 [3].

The employees of these restaurants are highly competent in preparing food using the best supplies, equipment, and other materials required for business [4]. Such standards of hospitality cannot be compared with anything and exceed the degree of the best-star hotels. Divan, the environment, the music background, and the subdued lighting make the dinners comfortable, luxurious, and lavish. The glassware, crockery, cutlery, and other requisite items used on the serving table are of the best quality [5]. CEOs and head chefs of these restaurants are creative and innovative and have good experience in managing and preparing the meals on the restaurants’ menus. In general, highly formal settings, like fine dining restaurants, have certain rules, such as one having to dress appropriately. As a result of formulating competitive strategies to meet the expectations of their clientele, most fine-dining restaurants provide a la carte services.

Therefore, it can be concluded that fine dining restaurants offer their guests an experience rather than an edible product. The current study seeks to fill two research gaps in the literature on fine dining restaurants. First, it examines the role of restaurant attributes in increasing the overall satisfaction of customers and their intentions to re-visit fine dining restaurants, focusing on India, which is among the fastest-growing emerging economies. In many studies related to understanding customer psychology, the theory suggested by Mehrabian & Russel (1974) [1], S-O-R, has been put into practice many times due to its immense relevance with the field of study; it has been put into use. For this purpose, the concept proposed by Mehrabian and Russell (1974) [1] was adopted, which states that many external factors, here, restaurant attributes, act as stimuli and influence the internal state of the person, here, overall customer satisfaction which refers to the organism, which leads to the production of specific behavioural responses, here, behavioural intentions. Second, this study explores the intervening effect of the overall satisfaction of customers between restaurant attributes and intention to return to the same restaurant with particular reference to fine dining restaurants. Furthermore, by considering restaurant features, this study contributes to previous research and paves the way for the fine dining restaurant industry.

2. Literature review and research hypotheses

2.1. Restaurant attributes

Recent studies have explored the impact of restaurant atmospherics on acceptable dining satisfaction. Specifically, they have found that the atmosphere of a restaurant is an essential factor influencing the enjoyment of a dining experience. In one study, researchers observed that customers in a fine dining restaurant were more likely to value the restaurant atmosphere when perceived as more upscale and luxurious [6]. Moreover, the presence of pleasant lighting, pleasant music, and a pleasant fragrance also contributed to higher levels of satisfaction among customers. The literature has also highlighted the importance of service quality in acceptable dining satisfaction. Researchers have found that customers were likelier to value the restaurant atmosphere when the service was warm and friendly, the waiter staff was knowledgeable and attentive, and the overall food quality was superb. Additionally, the service’s personalisation level significantly impacted customer satisfaction [7]. Therefore, restaurant owners need to be aware of the importance of atmospherics to ensure customers have a positive experience.

Recent research has shown that restaurant atmospherics can significantly impact customer satisfaction and motivation to purchase food and beverages. Specifically, the study found that customers who experienced pleasant atmospherics were more likely to rate the restaurant higher and be more motivated to buy food and drink [8]. Another study examined the effects of restaurant atmospherics on customer emotions. The results showed that pleasant atmospherics positively impacted customers’ emotional states, with customers feeling more relaxed and happier in a pleasant atmosphere. Further, the study found that customers were more likely to return to a restaurant with a pleasant atmosphere [9]. Finally, a study explored the influence of restaurant atmospherics on customer loyalty. The results showed that customers who experienced lovely atmospherics were more likely to return to the restaurant, indicating increased loyalty. In addition, the study found that customers who experienced pleasant atmospherics were more likely to recommend the restaurant to others. Overall, restaurant atmospherics can significantly impact customers’ experiences and behaviour. Specifically, melodic atmospherics can lead to greater customer satisfaction and purchase motivation, improved emotional states, and increased customer loyalty [10]. As such, restaurant owners must create a pleasant and inviting atmosphere for their customers.

2.2. Spatial configuration-related attributes in fine dining restaurants

Spatial Configuration’s role in fine dining restaurants has been an area of increasing interest in recent years. Studies have sought to understand the motivations and values that drive customers’ decisions when selecting a dining experience. Research has shown that spatial configuration motivations are essential in choosing fine-dining restaurants. Customers are more likely to select restaurants perceived as “Configuration significant”, meaning they are associated with a particular ambience or cuisine. This includes restaurants that offer traditional and regional dishes and establishments that feature exotic cuisines worldwide. Customers are also often drawn to restaurants that provide a unique atmosphere, such as those with a particular theme or décor [interior design], and those that feature live music, fragrances or other forms of entertainment. In addition, researchers have found that Configuration can be further divided into two distinct categories: Configuration authenticity and Configuration novelty [11,12]. Configuration authenticity refers to the extent to which customers perceive the restaurant as an “authentic” representation of a particular ambience. In contrast, Configuration novelty describes the degree to which customers believe the restaurant offers something new and exciting fine dining experience. Overall, research has demonstrated that Configuration, including tableware and crockery settings, colour combination schemes and seating arrangements, play an important role in fine dining restaurant selection. Customers are more likely to select restaurants that offer an authentic and novel cultural experience. Understanding these motivations can help restaurant owners and managers better tailor their offerings and create an experience that appeals to their target customers [12].

2.3. Sanitation-related attributes in fine dining restaurants

Sanitation is an essential issue for restaurant patrons. A literature review shows that several factors can affect how patrons perceive the sanitation standards of a restaurant. First, the restaurant’s physical environment is vital for patrons’ appreciation of sanitation. For example, a study of restaurant patrons in the United Kingdom found that the cleanliness of the restaurant environment and the lack of pests were essential factors in determining the sanitation standards of a restaurant [13]. In addition, the Configuration and design of the restaurant can also influence how patrons perceive the cleanliness of a restaurant, as they can determine how easily customers can observe the establishment’s cleanliness [14]. Second, the restaurant’s sanitation practices can also affect how patrons perceive the restaurant’s sanitation standards. A study of restaurant patrons in the United States found that customers were more likely to appreciate the sanitation standards of a restaurant if they felt that the establishment was taking reasonable steps to ensure food safety, such as regularly washing kitchen surfaces and having local health inspections [15]. Third, the restaurant staff’s behaviour can impact sanitation-related appreciation. A study in France found that patrons were more likely to appreciate the sanitation standards of a restaurant if they felt that the staff was taking an active role in ensuring cleanliness, such as wearing gloves and masks while handling food [16]. Overall, this literature review suggests that several factors can influence how patrons appreciate the sanitation standards of a restaurant. The physical environment, sanitation practices, and behaviour of restaurant staff all play a role in how customers perceive the cleanliness of a restaurant. Restaurants should consider these factors to ensure that patrons appreciate their sanitation standards.

2.4. Music-related attributes in fine dining restaurants

Fine dining restaurants have long been associated with appreciating soothing and delightful music. Music can create an atmosphere of elegance, sophistication, and relaxation, all desirable qualities in a restaurant setting. Studies examining the impact of music on diners’ experiences in fine-dining restaurants have been conducted since the 1960s; they have consistently found that music significantly affects overall customer satisfaction. One study found that classical music had a significant influence on customer perceptions of the restaurant environment and the quality of the food. The study found that customers were more likely to rate the restaurant, food, and service more highly when classical music was played [17]. Similarly, another study found that the presence of classical, jazz, or soft rock music in a restaurant led to higher customer ratings of the restaurant overall [18]. Furthermore, it was also found that the type of music played in a restaurant directly impacted customer satisfaction; customers were more satisfied with the restaurant when classical music was playing compared to when jazz or soft rock music was played. The findings of these studies suggest that music-related appreciation in fine-dining restaurants can positively affect customer satisfaction. By playing music appropriate for the type of restaurant, owners can create an atmosphere of sophistication and relaxation that will help customers feel more comfortable and satisfied with their dining experience [18].

2.5. Menu-related attributes in fine dining restaurants

Menu-related items in fine dining restaurants are essential to creating an enjoyable and memorable dining experience. Recent research suggests that a menu’s design, presentation, and content can significantly impact a diner’s perceptions of the overall experience. In a research study, participants were exposed to different menu designs and asked to rate the restaurant experience they believed they had. Results showed that diners were more likely to order the restaurant experience positively when menus were designed with an attractive, organised, and modern design. Furthermore, menu items with vivid descriptions and imagery were associated with higher ratings [19]. Menu descriptions played a vital impact on customer satisfaction. The menu was categorised by the type of information they provided, such as nutrition information, ingredient lists, and allergen warnings. Results showed that menus that provided more detailed information were associated with a higher appreciation for the restaurant experience. This was especially true for menus that provided nutrition information, which was the most influential factor in generating appreciation. These studies demonstrate that visually appealing menus with organised and modern designs, detailed information, vivid descriptions and imagery are more likely to create positive restaurant experiences. Therefore, restaurants need to focus on the design and content of their menus to provide customers with an enjoyable and memorable dining experience [20].

3. Operational Definitions of Constructs

3.1. Spatial Configuration-related attributes

A restaurant’s Configuration design refers to the physical arrangement of various elements such as tables, chairs, bar area, kitchen, reception, and other features. It involves planning and organising the restaurant’s physical space to optimise functionality, improve traffic flow, and create an enjoyable dining experience for customers [11,12].

3.2. Sanitation-related attributes

Sanitation can be described as cleanliness and other measures to avoid spreading diseases. I think that the three aspects, namely, food, climate, and service, which customers know from a sanitation perspective, are proof of the restaurant’s sanitation. Given that consumers primarily experience the front of the house in restaurants, it is expected that the actual physical environment in which consumers physically interact, including the dining room, tables, servers, and toilets, will have a significant influence on customer hygiene preferences, moods arising from interaction with the restaurant environment, and consumers’ behaviour [13,14].

3.3. Music-related attributes

Music reduces stress and relieves anxiety. Backdrop music, tempo, and pattern of music, among others, are some of the musical features. Studies on restaurant music have highlighted that this factor influences food choices and eating behaviour and causes clients to take longer waiting and eating times, order more food, and more costly food [17,18].

3.4. Menu-related attributes

As stated above, a menu is a tool through which a restaurant conveys information relating to food and services to clients. This can be done through menu design and the description of food items on the menu card [19, 20]. Menu design produces an aesthetically pleasing menu card that encompasses details and catches consumers’ attention to certain products that the food service entity wants to sell [21, 22].

3.5. Customer satisfaction

Customer satisfaction may be defined as a customer’s attitude emerging from the perceived quality of a product or service he has bought or used and the price tag that he had to pay for that product or service [23]. Customer satisfaction is the evaluative response of a customer towards a service provider [24]. Customers’ expectations have specific predictors, such as perceived service, price, food quality and restaurant atmosphere [25,26].

3.6. Behavioural intentions

Behavioural intentions are defined as a person’s conscious action plan, which involves directed effort towards executing specific behaviours and intentions from personal perceptions and norms. Therefore, involvement in a particular behaviour equals behavioural intentions [27]. Behavioural intentions are the driving force behind random-struck conduct and are directly associated with the customer [28] (Fig 1).

Fig 1. Proposed Model of Restaurant Atmospherics, Overall Customer Satisfaction, and Behavioural Intentions.

Fig 1

As a result, the following hypotheses are advanced.

  • H1: Restaurant atmospherics positively influence (i)overall customer satisfaction & (ii) behavioural intentions.

  • H1(a): Spatial Configuration-related attributes positively influence (i)overall customer satisfaction and (ii) behavioural intentions.

  • HI (b): Sanitation-related attributes positively influence (i) overall customer satisfaction and (ii) behavioural intentions.

  • HI (c): Music-related attributes positively influence (i) overall customer satisfaction and (ii) behavioural intentions.

  • HI (d): Menu-related attributes positively influence (i) overall customer satisfaction and (ii) behavioural intentions.

3.7. Overall customer satisfaction for fine dining restaurants

Recent research has shown that restaurant atmospherics play an essential role in overall customer satisfaction to appreciate the dining restaurant attributes of establishments. Specifically, researchers have found that customers are more likely to enjoy a restaurant if it is well-designed, has a pleasant atmosphere, and offers a high-quality dining experience [29, 30]. In a study by [31], the authors investigated how restaurant atmospherics impact customers’ experience. The authors found that customers respond positively to restaurants with good design, comfortable seating, and an inviting ambience. Furthermore, the authors concluded that customers are likelier to appreciate a restaurant with an aesthetically pleasing atmosphere [32]. Customers have more potential to enjoy a restaurant’s attributes if it has a pleasant atmosphere, good service, and a high-quality dining experience. The authors concluded that customers are more likely to revisit a restaurant if they enjoy the atmosphere [33]. Customers have more potential to appreciate a restaurant with a pleasant atmosphere, good food, and a welcoming environment. Overall, the evidence suggests that restaurant atmospherics are essential in motivating customers to appreciate fine dining establishments [34]. Customers are more likely to enjoy a restaurant if it is well-designed, has a pleasant atmosphere, and offers a high-quality dining experience. Thus, restaurant owners should create an aesthetically pleasing atmosphere conducive to customer enjoyment [35].

Customer satisfaction is essential for fine dining, and restaurant attributes appreciate appreciation. Customers often prefer to dine in places where they feel appreciated and valued. A study by the National Restaurant Association found that customers who experienced “excellent customer appreciation” were more likely to recommend the restaurant to friends and family and return for future meals. Studies have also found that customers are more likely to appreciate a restaurant’s efforts if they know them [35].

Hypothesis 2: Overall customer satisfaction influences customers’ behavioural intentions positively.

3.8. Behavioral Intentions

The relationship between customer appreciation for fine dining restaurants and behavioural intentions has been studied in several studies. Higher levels of appreciation for fine dining restaurants were more likely to engage in repeat visits and recommend the restaurant to others. This suggests that customers have a positive attitude towards fine dining restaurants and are willing to patronise them in the future [36]. A study found that customers with higher appreciation for fine dining restaurants were likelier to leave a positive review, thus contributing to the restaurant’s reputation. Furthermore, the study showed that customers with higher levels of appreciation were also more willing to spend more money on their dining experience. These findings suggest that customers appreciate the high quality of food and service offered by fine dining restaurants and are willing to pay a premium for it [37]. Recently, a study examined the relationship between customer appreciation for fine-dining restaurants and their loyalty intentions. The study found that customers with higher appreciation for the restaurant were likelier to become loyal. This suggests that customers appreciate the quality of the fine dining restaurants’ food, service, and atmosphere and are willing to pay more for the experience [38,39,40]. Overall, the research suggests that customers appreciate the high quality of food and service offered by fine dining restaurants and are willing to pay a premium for the experience. Furthermore, customers with a higher level of appreciation for the restaurant are more likely to become loyal and recommend the restaurant to others. Therefore, it is essential for fine dining restaurants to offer excellent food and service to their customers to foster customer loyalty and appreciation [41].

In recent years, the dining experience at fine dining restaurants has become increasingly important as consumers seek a unique and memorable experience. This has led to an increased focus on understanding consumers’ behaviours in such restaurants and the factors that influence their decision-making process. One such factor is behavioural intentions, an individual’s decision to engage in specific behaviour. This literature review explores existing research on customers’ behavioural intentions in fine-dining restaurants [42]. A study examined the effect of restaurant characteristics on customers’ behavioural intentions in fine dining restaurants. The study found that both the service quality and the ambience of the restaurant had a positive effect on customers’ behavioural intentions. Specifically, customers were more likely to have a positive behavioural intention when the restaurant provided excellent service and a pleasant atmosphere [43]. Another study analysed the role of customer satisfaction and perceived value in influencing customers’ behavioural intentions in fine dining restaurants. The study showed that customer satisfaction significantly affected behavioural intentions, while perceived value had no significant impact. The authors concluded that providing an excellent dining experience influences customers’ behavioural intentions. They finally explored the role of pricing in influencing customers’ behavioural intentions in fine dining restaurants. The results showed that customers’ willingness to pay more for the same meal positively affected their behavioural intentions. The authors suggested that offering a range of prices can help to increase customers’ willingness to pay, thus increasing their behavioural intentions. Overall, the literature on customers’ behavioural intentions in fine-dining restaurants shows that several factors can influence their decision-making [44]. These factors include restaurant characteristics, customer satisfaction, perceived value, and price. As such, restaurant owners need to understand the importance of these factors to provide an excellent dining experience and increase customers’ behavioural intentions. These findings imply that appreciation is a crucial predictor of behavioural intentions in the premium restaurant sector, which gives rise to the following hypotheses:

Hypothesis 3: Overall customer satisfaction mediates the relationship between restaurant atmospherics and behavioural intentions.

4. Methodology

4.1. Research instrument

When it comes to the process of obtaining valuable and relative information from the customers, then it is crucial to create a questionnaire. The completion of a questionnaire involves ingenuity, and one cannot just wake up one morning and create a questionnaire and administer it. In this regard, a questionnaire was constructed and consisted of statements about restaurant atmospherics (spatial configuration, sanitation, music & menu), overall customer satisfaction, and behavioural intention. The attributes for the dimensions as mentioned earlier have been taken from the scales developed by earlier researchers and were modified: Tangible Service Attributes [45], SERVICESCAPE [46], DINESCAPE [47], SERVQUAL [48], DINESERV [49], TANGSERV [50] & DINEX [51] (Table 1).

Table 1. Research Instrument.

Variable Indicators Source
Spatial Configuration-related attributes B1. I like the interior design of the restaurant. 45,46,47,48
B2. I like the natural fragrance in the restaurant.
B3. I like the tableware and pottery used in the restaurant.
B4. I like the colour scheme of the restaurant.
B5. I like the restaurant’s seating arrangement.
Sanitation-related attributes C2. I like the cleanliness of the washrooms. 45,46,47,48
C3. I like the availability of toilet paper in the washroom.
C4. I like the availability of water, towels, and soap in the washroom.
C5. I like that the dustbins were properly placed and covered.
C6. I like the cleanliness of the washbasin, wall mirror, and floor of the washroom.
C7. I like that the restaurant staff was neatly dressed.
Music-related attributes D1. I like the background music played. 45,46,47,48
D2. I like the apt fit of the background music with the restaurant’s image.
D3. I like that the music played was familiar to me.
D4. I like the tenderness and volume of the music.
D5. I agree that the music made dining more fun.
D6. I agree that music extended my stay at the restaurant.
Menu-related attributes M1. I like the attractiveness of the menu card. 49,50,51
M2. I like the easy readability of the menu card.
M3. I like the variety of food choices available.
M4. I like locating a food item on the menu card, which is easy.
M5. I like the price tags.
Overall Customer Satisfaction F1 I am delighted with the overall experience at this restaurant. 52,53
F2 As a whole, I am happy with the restaurant.
F3 I believe I did the right thing to visit the restaurant.
F4I find the restaurant to be an overall enjoyable experience.
Behavioural intentions G1. I want to return to this place for another meal. 49,54,55
G2. I want to share good vibes about this eatery with others.
G3. You will dine at this restaurant in future.

4.2. Data collection

The second part of the questionnaire is aimed at collecting data concerning the assessment of overall customer satisfaction [52,53] as well as behavioural intentions [49,54,55]. The last part describes the socio-demographic characteristics of the respondents. This research was performed from August to December of the year 2023 in an elite restaurant that specialises in Indian cuisine, situated in New Delhi, India. The population sample was chosen by adopting the systematic sampling technique where the researcher interviewed every second table (the respondents). Overall, 500 questionnaires were made available in relation to this research. The final sample mean reached 440 people. The demographic profile of the respondents is stated in Table 2.

Table 2. Demographic Profile.

Demographic Variables Category Frequency Percentage (%)
Age 18–30 170 38.6
31–40 130 29.5
41–50 73 16.6
51–60 40 9.1
61&above
Total
27
440
6.1
Gender Male 205 46.6
Female
Total
235
440
53.4
Marital Status Married 244 55.5
Unmarried
Total
196
440
44.5
Occupation Student 120 27.3
Self-Employed 61 13.9
Public Sector 50 11.4
Private Sector 102 23.2
Professional 62 14.1
Another
Total
45
440
10.2

5. Data analysis and presentation

The research model in this study is estimated and evaluated using Structural Equation Modelling (SEM). The analysis is done in compliance with the prescribed guidelines, procedures, and critical values, as explained elsewhere [56,57]. All the constructs in our model (Fig 2) assess reflective measurement models of indicator reliability, internal consistencies, reliability, convergent validity, and discriminant validity.

Fig 2. Overall Measurement Model of Restaurant Attributes, Overall Customer Satisfaction, and Behavioral Intentions.

Fig 2

5.1. Convergent Validity

The assumption of convergent validity (CV) relies on three key prerequisites. To ensure convergence on a construct, all standardised loading estimates should be statistically significant (value of 0.50 or higher) [58]. The second requirement is the average variance extracted (AVE) of 0.50 or greater as proof of appropriate convergence. Third, the criterion is construct reliability (CR) of 0.7 or more, demonstrating high reliability. All of these criteria indicate that the CV assumption is not violated in this investigation [58] (Table 3).

Table 3. Reliability and Validity of the Overall Measurement Model (Convergent Validity).

Latent Variable Items Standardised loadings Composite Reliability Cronbach Alpha AVE
Spatial Configuration-related B1 .920 0.971 0.823 0.871
B2 .952
B3 .950
B4 .932
B5 .913
Sanitation-related C2 .808 0.925 0.885 0.673
C3 .821
C4 .890
C5 .858
C6 .862
C7 .664
Music-related D1 .912 0.953 0.890 0.773
D2 .906
D3 .910
D4 .887
D5 .875
D6 .780
Menu-related M1 .798 0.855 0.892 0.671
M2 .838
M3 .829
M5 .815
M6 .833
Overall Customer Satisfaction F1 .801 0.904 0.901 0.703
F2 .852
F3 .896
F4 .800
Behavioural
Intentions
G1 .905 0.926 0.895 0.808
G2 .887
G3 .904

5.2. Discriminant Validity

When the correlation between exogenous variables exceeds the square root of average variance extraction (AVE), the discriminant validity condition is violated [59]. To calculate discriminant validity, master validity choices were employed, including standard regression weights and correlation across all constructs. Table 4 shows the output from AMOS 24, which confirmed that the square root of the AVE value (diagonal value in bold) is larger than the inter-construct correlation coefficient. Thus, the assumption of discriminant validity isn’t violated. Once the measurement model was established, the next step was to evaluate the structural model to examine the stated hypotheses.

Table 4. Discriminant Validity Analysis of the Overall Measurement Model.

Spatial Configuration Sanitation Music Menu Overall Customer Satisfaction Behavioural
Intentions
Spatial Configuration 0.933
Sanitation .270** 0.821
Music .337** .239** 0.879
Menu .236** .551** .176** 0.819
Overall Customer Satisfaction .121* .534** .161** .523** 0.838
Behavioural Intentions ‒.084 .377** .010 .380** .402** 0.899
*

The diagonal values are the square root of each construct’s ‘Average Variance Extracted’(AVE); below the diagonal are the correlations.

**

p < 0.01(inter-construct correlation value)

5.3. Structural model (Direct Effects)

This study model included three variables: restaurant atmospherics (exogenous), overall customer satisfaction (exogenous), and behavioural intentions (endogenous). This section explains the direct relationship between these three primary variables.

5.3.1. Relationship between restaurant atmospherics, overall customer satisfaction, and behavioral intentions.

The study aimed to examine how restaurant atmospherics and overall customer satisfaction influence. H(1) consists of three fundamental hypotheses. As shown in Fig 3 & Table 5, the structural model findings validated hypothesis H1(i), which states that there is a positive link between restaurant atmospherics and customer satisfaction, with path coefficient value for Spatial configuration-related attributes (β = -.05, critical value t -2.114, p <  0.05), sanitation-related attributes (β =  0.337, critical value t 8.566, p = 0.000), music-related attributes (β = 0.033, critical value t 1.165, p <  0.05), and menu-related attributes (β = 0.322, critical value t 8.015, p = 0.000) except for the music-related attributes. This study also finds that except music-related attributes, all other restaurant attributes (Spatial Configuration (β =  -.147, critical value t -4.745, p <  0.05), sanitation (β = .245, critical value t 4.403, p < 0.05), and menu (β = .252, critical value t 4.432, p <  0.05) have significant positive effects on behavioural intentions [H1(ii)]. Hypothesis H2: customer satisfaction is favourably correlated with behavioural intentions path coefficient value β =  0.263, critical value t 3.439, p = 0.000, as illustrated in Fig 3 (Table 6).

Fig 3. Hypothesised Structural Equation Model with Standard Estimates.

Fig 3

Note: CA=Spatial Configuration-related attributes, SA=Sanitation-related attributes, M=Menu-related attributes, D=Music-related attributes, CS=Overall Customer Satisfaction, and BI=Behavioral Intentions.

Table 5. Standard Regression Weights for the Structural Equation Model.
Relationships Estimate (β) S.E. C.R(t value) P
CS <--- SA .337 .039 8.566 ***
CS <--- MENU .322 .040 8.015 ***
CS <--- Music .033 .029 1.165 .244
CS <--- CA ‒.050 .023 ‒2.114 .035
Bi <--- CS .263 .077 3.439 ***
Bi <--- Music ‒.041 .037 ‒1.099 .272
Bi <--- MENU .252 .057 4.432 ***
Bi <--- SA .245 .056 4.403 ***
Bi <--- CA ‒.147 .031 ‒4.745 ***
***

Significant at 0.001 level.

Table 6. Structural Model Direct Effects.
Hypothesised path Standardised path coefficients t-value p-value Results
H1a(i) ‒.050 ‒2.114 .035 supported
H1b(i) .337 8.566 *** supported
H1c(i) .033 1.165 .244 not supported
H1d(i) .322 8.015 *** supported
H1a(ii ‒.147 ‒4.745 *** supported
H1b(ii) .245 4.403 *** supported
H1c(ii) ‒.041 ‒1.099 .272 not supported
H1d(ii .252 4.432 *** supported
H2 .263 3.439 *** supported
***

Inter-construct correlation value.

5.3.2. Sem-Mediation through the boots trap approach.

The relationship between restaurant atmospherics and behavioural intentions, with the mediating role of customer satisfaction, was examined. The Bootstrapping method on AMOS software was employed to analyse the mediation effect. Table 7 shows that overall customer satisfaction partially mediates the relationship between restaurant atmospherics and behavioural intentions, as it has both direct and indirect influences. All the exogenous latent constructs except music significantly directly affect behavioural intentions. Hence, a partial mediating effect of customer satisfaction was found between restaurant atmospherics and behavioural intentions.

Table 7. Direct & Indirect Effects- Two-Tailed Significance (BC).
Effect Spatial Configuration Sanitation Music Menu Overall Customer Satisfaction Behavioural Intentions
Overall customer satisfaction
Behavioural Intentions (Direct Effect) 0.001 0.001 0.324 .001 0.001
Behavioural Intentions 0.04 0.001 0.355 .001
(Indirect Effect)

Source: Authors’ own

6. Findings

The Mehrabian and Russell model was employed in this study to determine the relationship between the stimulus, restaurant atmospherics, and the organism’s customer satisfaction, with the response being behavioural intentions. According to literature analysis, CRM is an assertion that restaurant atmosphere influences customer satisfaction and subsequent behaviour [60, 25, and 26]. The current study also found that restaurant atmosphere influences consumer satisfaction and behavioural intentions. Customers ranked tablecloths and crockery as the most important atmospheric attributes in terms of satisfaction and behavioural intentions [65,66,67]. As customer satisfaction increased, cultural elements like the wall colour scheme, seating arrangement, and others added value to the restaurant. Remarkably, the least amount of influence was found to be associated with the restaurant’s interior design and the aroma or odour that it imparted to its patrons, which in turn affected the patrons’ perceived behavioural intentions and degree of satisfaction [61,62,63,64]. Customers rated tidy attire the most out of all the hygienic traits that the restaurant staff considered to be vital. The location of the dustbins and washbasin, the wall mirror, and the cleanliness of the floor were found to be the most significant restroom facility qualities that influenced patron pleasure and behavioural intentions in fine-dining restaurants [65,66,67]. The fact that listening to delicate, quiet music was preferable to loud music was also found to be evidence [68, 69]. The truth is that the current study solely discussed the patrons’ favourable opinions of the music that was played in fine dining establishments. Customers did not appear to be inclined to return to the restaurant in order to enjoy the music. Among the other menu features, the delivery of various dishes on the menu card was the most favoured [70, 71, 72]. The study found that overall customer satisfaction partially mediates the association between restaurant features and behavioural intention.

7. Discussion and Implications

The purpose of this research is to identify the factors related to restaurant characteristics that contribute to the level of satisfaction and further behavioural patterns among consumers of fine dining restaurants. Therefore, it can be seen that analysing the impact of motivators of fine dining restaurants on customers’ satisfaction levels and behaviour intention can be considered an important issue in the restaurant industry. The quality of the food, service, and ambience all impact a customer’s experience and can influence their appreciation of the restaurant and their intentions to return. First and foremost, the Spatial Configuration of a restaurant is a significant motivator for customers. The taste, presentation, and overall food quality will significantly influence their enjoyment of the restaurant [10,13]. Additionally, the restaurant’s service also positively impacts customer satisfaction. If the staff is friendly, knowledgeable, and attentive, it can make the dining experience more enjoyable and desirable. Finally, the restaurant’s atmosphere is also essential for customer satisfaction. Whether in a formal or a casual setting, the restaurant’s ambience can significantly influence the customer’s final impression [73]. Regarding behavioural intentions, these three attributes are also crucial in influencing customers to return [24].

An excellent dining experience also makes customers repeat customers and even go the extra mile of recommending the restaurant to their friends and family. On the other hand, when the food, service, and environment are poor, customers tend to avoid returning to the restaurant and may not recommend it [74]. In sum, food quality, service quality, and ambience quality are critical services that restaurants must consider in order to ensure customers’ behavioural intentions. All these attributes can go a long way in defining a customer’s experience and greatly influence the restaurant’s fortunes [72].

Another pertinent area that has dominated research on the determinants of restaurant patrons’ behaviour has been the mediating variable of customer satisfaction between restaurant attributes as motivators of behavioural intentions for the fine dining restaurant industry. The study has revealed that restaurant attributes like quality of food, service quality, atmosphere, and price can act as stimuli that may cause a behavioural response in the form of restaurant revisit, recommendation of the restaurant to other people and Increased expenditure on the meal. Therefore, it can be identified that customer satisfaction moderates the range of restaurant attributes and impacts behavioural intentions [64].

7.1 Implications for practice

The findings of this research have several implications for the hospitality industry. First, they suggest that restaurant managers must consider customer satisfaction when developing strategies to increase loyalty and satisfaction. Customer satisfaction regarding specific attributes of a restaurant can drive positive behavioural intentions. Thus, restaurant managers should focus on providing high-quality, consistent services and creating a pleasant atmosphere to encourage customer satisfaction [55].

Second, these findings suggest that restaurant managers should use customer satisfaction to engage customers and increase loyalty. Customer satisfaction can also be achieved through feedback about the restaurant’s attributes, which can help managers identify what aspects of the restaurant are most valued by customers. Focusing on customer satisfaction can help restaurant managers increase customer loyalty, satisfaction, and spending, and thus, should be considered when developing strategies to increase success.

This study considers several factors for premium restaurant managers. To provide an elevated dining experience for customers, fine dining restaurant managers should strive to create an enriched atmosphere. Managers should focus on enhancing the spatial layout by paying particular attention to space utilisation, furniture selection, artwork, décor, etc., as these elements can help create a unique, memorable setting for guests, increasing customer satisfaction and behavioural intentions. By utilising these strategies, managers can create a unique, culturally rich atmosphere for guests, which can help to increase customer satisfaction and behavioural intentions [56].

Menu-enthused elements can be instrumental in this regard. By offering customers the opportunity to customise their meals and create unique experiences, managers can demonstrate their commitment to customer satisfaction [19]. Additionally, offering discounts and incentives to loyal customers can help to increase their loyalty and appreciation for the restaurant. Furthermore, creating a sense of community and connecting with customers through social media can help to foster relationships and create a more positive customer experience [30]. Finally, providing personalised service to customers, including attentive wait staff and personalised suggestions, can help enhance the customer experience and create a lasting impression.

Managers should prioritise sanitation elements to improve customer satisfaction and behavioural intentions in a fine dining restaurant. This includes regularly cleaning and sanitising dining and kitchen areas, providing hand sanitiser at the restaurant’s entrance, ensuring that staff wash their hands frequently, and giving single-use condiment containers and disposable cutlery [29]. In addition, managers should encourage staff to wear masks and gloves and to take other safety precautions. Moreover, managers should ensure that all tables, chairs, and surfaces are wiped down between customers and that any buffet-style food is served by staff, not self-serve. Finally, managers should ensure that all staff know the importance of providing customers with a clean and safe dining environment. By taking these steps, managers can show customers they are taking their health seriously and create a positive experience for them [28].

As a fine dining restaurant manager, there are a few essential implications when incorporating music-enthusing elements into the customer experience. First, selecting music that aligns with the restaurant’s ambience and overall aesthetic is necessary. Music should be chosen carefully to create a relaxing and enjoyable atmosphere for customers. Additionally, the volume of the music should be kept at a comfortable level so that it does not interfere with conversations or disrupt the overall dining experience [19]. Finally, monitoring customer reactions and adjusting the music is essential. By doing so, customers feel appreciated, and their behavioural intentions towards the restaurant can be improved. Ultimately, by carefully incorporating music-enthused elements, fine-dining restaurant managers can create a memorable and enjoyable experience for their customers [63].

Fine dining restaurant managers should strive to create an atmosphere of appreciation and respect for their customers. This can be achieved through various methods, including providing excellent customer service, creating a welcoming and friendly atmosphere, and offering special promotions and discounts. Additionally, restaurant managers should work to build relationships with their customers by listening to their feedback and suggestions, responding quickly to their inquiries, and offering personalised experiences. By creating a positive customer experience, restaurant managers can help to improve customer appreciation and behavioural intentions. Additionally, providing customers with incentives such as discounts and loyalty programs can help to strengthen customer loyalty and encourage repeat business. Finally, establishing clear communication and expectations between managers and customers can help to ensure that customers are satisfied with their experiences and are motivated to return in the future. The findings of this study could be of great importance for the fine-dining industry, specifically in the context of an emerging economy like India, as the food service industry is estimated to increase to 125 billion U.S. dollars in 2029 [2]. This estimate accounts for full-service restaurants, quick-service restaurants, cafes and bars and the cloud kitchen segment, paving the way for the restaurant industry to flourish.

7.2 Theoretical implications

The Stimulus-Organism-Response (S-O-R) model gives useful information on consumer behaviour in the fine dining industry. This theoretical framework proposes that external stimuli influence an organism’s internal processes, resulting in distinct behavioural responses. In emerging nations where the restaurant sector, especially fine dining, is thriving, the S-O-R model is crucial for comprehending the impact of restaurant traits on customer satisfaction and behavioural intentions. The current study contributes to the existing literature. It identifies notable characteristics of fine dining restaurants that, if well addressed, could enhance the entire customer experience and lead to favourable behavioural intentions.

8. Limitations and future research directions

There are some drawbacks to this study. First, this study does not consider the role of restaurant staff as a source of customer satisfaction. Motivated and satisfied staff could be able to recognise the level of customer satisfaction and take steps to ensure that they have a memorable experience. Second, the questionnaire was completed by respondents based on their perceptions of Indian fine dining restaurants. Future research could replicate this study in a different cultural environment to strengthen the generalizability of our findings. Finally, future research might investigate the moderating effect of demographics on customer satisfaction and the intent to visit Fine Dining Restaurants. Customer expectations and opinions are greatly influenced by social media and online evaluations, which replicate modern dining conventions. Future researchers could potentially examine these characteristics’ effects on customer satisfaction and behavioural intentions by using the S-O-R model.

9. Conclusions

The SOR model offers a significant framework for examining the impact of stimuli on an organism and its subsequent responses [75]. This study postulates perceived values regarding restaurant attributes as motivation variables that lead to satisfaction. Fine dining restaurants can improve customer satisfaction and behavioural intentions by providing a high-quality dining experience, offering personalised services, utilising customer feedback to make meaningful changes, and focusing on creating a comfortable and inviting atmosphere [64]. By doing these things, customers will feel more appreciated and be more likely to return to the restaurant. Additionally, restaurants must build customer relationships by engaging in meaningful conversations and providing excellent customer service. By doing this, customers will be more likely to have positive behavioural intentions towards the restaurant and be more likely to recommend it to others [48]. The empirical findings reveal that satisfaction, embodied by perceived values, is certainly positively and significantly connected to behavioural intentions, reaffirming earlier studies’ findings. The study also discovers that appreciation plays a moderating role in the relationship between restaurant motivation and behavioural intentions and the association between restaurant motivation and satisfaction.

Data Availability

This manuscript's data is publicly available via the Sabaragamuwa University of Sri Lanka online repository. Data can be found at the following URL: http://repo.lib.sab.ac.lk:8080/xmlui/handle/susl/4421

Funding Statement

The author(s) received no specific funding for this work.

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Decision Letter 0

Yasuko Kawahata

23 Jun 2024

PONE-D-24-10577Influences of Atmospherics on Customer Satisfaction and Behavioral Intentions in the Restaurant Industry: Evidence from an Emerging EconomyPLOS ONE

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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: No

Reviewer #2: Partly

**********

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

Reviewer #1: No

Reviewer #2: I Don't Know

**********

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: No

Reviewer #2: 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: No

Reviewer #2: 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: Influences of Atmospherics on Customer Satisfaction and Behavioral Intentions in the Restaurant Industry: Evidence from an Emerging Economy

I think the topic of this study is interesting in that it aims to identify the impacts of atmospherics of fine dining restaurant on customer satisfaction and behavioral intentions. However, the following issues must be addressed:

1. Upon a thorough examination of the entire paper, it becomes apparent that the study lacks a well-developed logical foundation based on theory. Despite collecting the data in New Delhi, the capital of India, there is a noticeable absence of a theoretical contribution. In other words, we cannot find a key theory that explains the theoretical background and contributions of this study compared to previous studies in the introduction and implications section.

2. Why did the authors use the term of configuration-related attributes? The meaning of the term is not clearly understood.

3. Since restaurant attributes consist of four sub-dimensions, the H1 must be presented for each subdimension.

4. Research Instrument and Data should be divided into 1) Instrument, 2) Sampling and data collection in the Methodology section.

5. The authors should make the Results section.

6. What is the difference between Table 4 and Table 5? To explain the measurement model, it may be sufficient to use just one appropriate table.

7. To verify the mediation effect, the authors only need to use one table, so please integrate the tables.

8. The authors need to update more recent papers.

9. Overall, the structure of the manuscript is not systematic, so please revise the structure of it.

10. Other

� The references should be edited by the editorial policy of the journal.

� Overall, the sentence is not concise, so please edit the entire sentence.

� Please check the text carefully for grammar and typos.

� Delete “Source: Authors’ own” below the tables and figures.

� If the authors wish to show Figures of the AMOS analysis results, please correct them.

Reviewer #2: Underlying Theory is not mentioned.

Latest papers are not cited.

English grammar need to be improved.

More synthesis with the current literature will make the paper sound in the discussion section.

Table 10 not mentioned in the manuscript.

Future research areas not mentioned

**********

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:  Yogesh Devkinandan Mahajan

**********

[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.

Attachment

Submitted filename: PONE-D-24-10577_review.docx

pone.0319948.s001.docx (17.9KB, docx)
PLoS One. 2025 Apr 4;20(4):e0319948. doi: 10.1371/journal.pone.0319948.r003

Author response to Decision Letter 1


4 Sep 2024

Influences of Atmospherics on Customer Satisfaction and Behavioral Intentions in the Restaurant Industry: Evidence from an Emerging Economy

Reviewer 01

I think the topic of this study is interesting in that it aims to identify the impacts of the atmospherics of fine dining restaurants on customer satisfaction and behavioural intentions. However, the following issues must be addressed:

1. Upon a thorough examination of the entire paper, it becomes apparent that the study lacks a well-developed logical foundation based on theory. Despite collecting the data in New Delhi, the capital of India, there is a noticeable absence of a theoretical contribution. In other words, we cannot find a key theory that explains the theoretical background and contributions of this study compared to previous studies in the introduction and implications section.

Action Taken: To investigate the relationship between the atmospherics of fine dining restaurants, customer satisfaction and behavioural intentions, we adopted the Stimulus-Organism-Response (SOR) theory proposed by Mehrabian and Russell (1974). The study aims to examine restaurant attributes as stimuli (S), overall customer satisfaction as an organism (O), and behavioural intentions as a response (R). Theoretical contributions have been addressed in the introduction and the implications section. (PP. 2,3, 23)

2. Why did the authors use the term of configuration-related attributes? The meaning of the term is not clearly understood.

Action Taken: The term Configuration-related attributes has been replaced by a more relevant term Spatial Configuration (Lima et al., 2024; Selem et al., 2023) to have a better understanding of its significance in fine dining restaurants. (PP. 5,7, supporting references have been added in the text as well as in the references section).

3. Since restaurant attributes consist of four sub-dimensions, the H1 must be presented for each subdimension.

Action Taken: HI is now being presented for all the four sub-dimensions. (Incorporated on PP. 8).

4. Research Instrument and Data should be divided into 1) Instrument, 2) Sampling and data collection in the Methodology section.

Action Taken: The suggestion has been incorporated and the methodology section has been divided into two Instrument & Data Collection. ((PP. 11,12).

5. The authors should make the Results section.

Action Taken: A separate section for results has been added. (PP. 19,20).

6. What is the difference between Table 4 and Table 5? To explain the measurement model, it may be sufficient to use just one appropriate table.

Action Taken: Table 5 has been removed now, and the numbering of the tables has now changed from Table 4 onwards. (PP. 16,17, Table 5 is now: Regression Weights Restaurant Atmospherics, Overall Customer Satisfaction and Behavioral Intentions).

7. To verify the mediation effect, the authors only need to use one table, so please integrate the tables.

Action Taken: Tables showing Direct & Indirect mediation effects have been integrated into one table and the Summary table for Mediation Analysis has also been removed to avoid duplicity. (PP. 18).

8. The authors need to update more recent papers.

Action Taken: Added Highlighted in yellow in the references section.

9. Overall, the structure of the manuscript is not systematic, so please revise the structure of it.

Action Taken: The structure of the manuscript has now been revised.

10. Other

� The references should be edited according to the editorial policy of the journal.

� Overall, the sentence is not concise, so please edit the entire sentence.

� Please check the text carefully for grammar and typos.

� Delete “Source: Authors’ own” below the tables and figures.

� If the authors wish to show Figures of the AMOS analysis results, please correct them.

Action Taken: The above suggestions have been incorporated.

Reviewer 02

Reviewer Comment 01: The latest papers are not cited.

Action Taken: Thank you for your valuable feedback. We appreciate your suggestion to include the latest papers in our manuscript. In response to your comment, we have thoroughly reviewed recent literature and updated our manuscript accordingly.

Reviewer Comment: 02: English grammar needs to be improved.

Action Taken: Thank you for your insightful comment regarding the English grammar in our manuscript. To address this, we have thoroughly reviewed the text and made necessary corrections to enhance its clarity and readability. We also sought the assistance of a native English speaker to ensure that the language was polished and professional. These improvements have significantly enhanced the quality of our manuscript.

Reviewer Comment: 03: More synthesis with the current literature will make the paper sound in the discussion section.

Action Taken: Thank you for your valuable feedback on the need for more synthesis with current literature in the discussion section. We have carefully revised this section to integrate recent studies and provide a more comprehensive analysis.

Reviewer Comment: 04: Table 10 is not mentioned in the manuscript.

Action Taken: Thank you for pointing out the issue with Table 10. Upon review, we realized that Table 10 is not present in the manuscript and believe that the reference was intended for Table 1. We have now ensured that Table 1 is appropriately mentioned and discussed in the manuscript.

Reviewer Comment: 05: Future research areas not mentioned

Action Taken: Thank you for your insightful feedback regarding omitting future research areas. We agree that outlining future research directions is crucial for advancing the field. In response to your comment, we have added a section on future research areas in the conclusion of our manuscript.

Attachment

Submitted filename: Response to Reviewers.docx

pone.0319948.s002.docx (21.1KB, docx)

Decision Letter 1

Yasuko Kawahata

10 Sep 2024

PONE-D-24-10577R1Influences of Atmospherics on Customer Satisfaction and Behavioral Intentions in the Restaurant Industry: Evidence from an Emerging EconomyPLOS ONE

Dear Dr. Rathnasiri,

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 Oct 25 2024 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,

Yasuko Kawahata

Academic Editor

PLOS ONE

Journal Requirements:

Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

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

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: (No Response)

Reviewer #2: All comments have been addressed

**********

2. 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: Partly

Reviewer #2: Yes

**********

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

Reviewer #1: No

Reviewer #2: I Don't Know

**********

4. 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

**********

5. 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: No

Reviewer #2: Yes

**********

6. 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: This manuscript still has a lot to improve, even though the original comments have been revised to some extent. In particular, this study applied the SOR model, but it does not seem to have any theoretical contribution compared to previous studies.

The authors need to simplify several tables and present them as one, but they present too many tables unnecessarily, which leads to a lack of conciseness and clarity in the paper. This is also the case in the main text. Overall, the authors should write concisely.

What does *** mean in Table 4?

There are cases where the table presenting the results of the structural model analysis does not match the contents of the main text.

I do not know what the table explaining the parameters is trying to explain.

The authors should organize and present the results of the AMOS program analysis in Table 6 for the readers instead of presenting them as they are. What does *** mean in Table 6?

7.3. Future Directions -> 7.3. Limitations and Future Research Directions

The references should be edited by the editorial policy of the journal.

Figure 1 should display the four subdimensions of restaurant selection attributes.

I recommend the authors review other papers.

e.g.)

Jun, K., & Yoon, B. (2024). Consumer perspectives on restaurant sustainability: an SOR Model approach to affective and cognitive states. Journal of Foodservice Business Research, 1-24.

Reviewer #2: No comments. Paper is improved as per suggestions. No comments. Paper is improved as per suggestions.

**********

7. 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:  Yogesh Mahajan

**********

[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.

Attachment

Submitted filename: PONE-D-24-10577_review R1.docx

pone.0319948.s003.docx (17.1KB, docx)
PLoS One. 2025 Apr 4;20(4):e0319948. doi: 10.1371/journal.pone.0319948.r005

Author response to Decision Letter 2


23 Oct 2024

1. Theoretical contribution of the study - Theoretical contributions have been added on the page no.- 23

2. There are cases where the table presenting the results of the structural model analysis does not match the contents of the main text - Corrected on page no. 16,17 & 19

3. What does *** mean in Table 4? - p<0.01**inter-construct correlation value)

4. What does *** mean in Table 6? - p<0.001*** Inter-construct correlation value.

5. Organize and present the results of the AMOS program analysis in Table 6 for the readers instead of presenting them as they are - Incorporated on page no. 17 & 18

6. Limitations and Future Research Directions - Added on Page no. 23

7. Figure 1 should display the four subdimensions of restaurant selection attributes - Incorporated in the Figure 1

8. References should be edited by the editorial policy of the journal - It has been done

Attachment

Submitted filename: Response_to_reviewers_auresp_2.docx

pone.0319948.s004.docx (13KB, docx)

Decision Letter 2

Yasuko Kawahata

1 Dec 2024

PONE-D-24-10577R2Influences of Atmospherics on Customer Satisfaction and Behavioral Intentions in the Restaurant Industry: Evidence from an Emerging EconomyPLOS ONE

Dear Dr. Rathnasiri, 

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 Jan 15 2025 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,

Yasuko Kawahata

Academic Editor

PLOS ONE

Journal Requirements:

Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

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

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #3: (No Response)

Reviewer #4: All comments have been addressed

**********

2. 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 #3: Partly

Reviewer #4: Yes

**********

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

Reviewer #3: Yes

Reviewer #4: Yes

**********

4. 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 #3: Yes

Reviewer #4: Yes

**********

5. 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 #3: No

Reviewer #4: Yes

**********

6. 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 #3: Thank you so much for giving me the opportunity to review this manuscript.

General Comments

The authors explored an interesting area of research, that is assessing the impact of atmospherics associated with customer satisfaction and behavioral intention of a fine dining restaurant. However, it is suggested to revised further to make it ready for publication.

Here are my comments and suggestions:

1. It is suggested to change the title as “Investigating the relationships of atmospherics, customer satisfaction and behavioural intentions: Evidence from the fine dining restaurant”.

2. “According to the National Restaurant Association of India, India Food Services Report, 2024, the Indian food industry is estimated to be Rs 5,69,487 crore for FY24. It is expected to grow to 7,76,511 crores by FY28, achieving a CAGR of 8.1 per cent, and it will grow with a CAGR of 13.2%”. It is suggested to convert these figures into US dollars.

3. P3. Third paragraph, what does “Divan” mean? Please consider global audience, when you discuss or introduce any terms.

4. It is suggested to club the literature review section and operational definition of constructs.

5. Table 5, relationships, it is suggested to reorder all the relationships (for example SA� CS, MENU� CS etc.).

6. It is suggested to merge the “Findings with “Discussions and Implications”.

7. In the discussions and implications section, it is suggested that theoretical implications must be first discussed in detail (which is too short), and then practical implications must be discussed, offering better insights.

8. It is suggested to strictly follow the format guidelines of the journal.

9. Proof reading is recommended.

Reviewer #4: 1. Kindly elaborate further on the research findings in your discussion.

2. Please refine your introduction by elaborating on the urgency of the factors and the significance of the topic.

**********

7. 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 #3: No

Reviewer #4: 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. 2025 Apr 4;20(4):e0319948. doi: 10.1371/journal.pone.0319948.r007

Author response to Decision Letter 3


30 Jan 2025

Reviewer 3 Comments & Revision

1. It is suggested to change the title as “Investigating the relationships of atmospherics, customer satisfaction andbehavioural intentions: Evidence from the fine dining restaurant” - The title has been changed on page no. 1

2. “According to the National Restaurant Association of India, India Food Services Report, 2024, the Indian food industryis estimated to be Rs 5,69,487 crore for FY24. It is expected to grow to 7,76,511 crores by FY28, achieving a CAGR of8.1 per cent, and it will grow with a CAGR of 13.2%”. It is suggested to convert these figures into US dollars - Incorporated on page no. 3

3. P3. Third paragraph, what does “Divan” mean? Please consider global audience, when you discuss or introduce anyterms - Incorporated on page no. 3

4. It is suggested to club the literature review section and operational definition of constructs - Incorporated on page no. 7, section 2.6

5. Table 5, relationships, it is suggested to reorder all the relationships (for example SA. CS, MENU. CS etc.). - Incorporated on page no. 17

6. It is suggested to merge the “Findings with “Discussions and Implications”. - Incorporated on page no. 20

7. In the discussions and implications section, it is suggested that theoretical implications must be first discussed in detail (which is too short), and then practical implications must be discussed, offering better insights. - Incorporated on page no. 22

8. It is suggested to strictly follow the format guidelines of the journal - Guidelines are now being followed

9. Proofreading is recommended - Proofreading has been done

Reviewer 4 Comment & Revision

1. Kindly elaborate further on the research findings in your discussion - Incorporated on page no. 20 & 21

2. Please refine your introduction by elaborating on the urgency of the factors and the significance of the topic - Incorporated on page no. 2

Attachment

Submitted filename: Response_to_Reviewers_auresp_3.docx

pone.0319948.s005.docx (16.1KB, docx)

Decision Letter 3

Yasuko Kawahata

11 Feb 2025

Influences of Atmospherics on Customer Satisfaction and Behavioural Intentions in the Restaurant Industry: Evidence from an Emerging Economy

PONE-D-24-10577R3

Dear Dr. Mananage Shanika Hansini Rathnasiri,

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.

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Additional Editor Comments (optional):

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #3: All comments have been addressed

Reviewer #4: All comments have been addressed

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2. 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 #3: Yes

Reviewer #4: Partly

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

Reviewer #3: Yes

Reviewer #4: Yes

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

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Reviewer #3: Yes

Reviewer #4: Yes

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

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Reviewer #3: Yes

Reviewer #4: Yes

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6. 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 #3: The authors substantially revised the manuscript, based on reviewers' comments. It may be accepted for publication.

Reviewer #4: Its better if the research gap more clear in introduction. compare with previous research ..what a gap/novelty. the novelty is better if you make as highlight in the abstract

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Reviewer #3: No

Reviewer #4: No

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Acceptance letter

Yasuko Kawahata

PONE-D-24-10577R3

PLOS ONE

Dear Dr. Rathnasiri,

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. Yasuko Kawahata

Academic Editor

PLOS ONE

Associated Data

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

    Supplementary Materials

    Attachment

    Submitted filename: PONE-D-24-10577_review.docx

    pone.0319948.s001.docx (17.9KB, docx)
    Attachment

    Submitted filename: Response to Reviewers.docx

    pone.0319948.s002.docx (21.1KB, docx)
    Attachment

    Submitted filename: PONE-D-24-10577_review R1.docx

    pone.0319948.s003.docx (17.1KB, docx)
    Attachment

    Submitted filename: Response_to_reviewers_auresp_2.docx

    pone.0319948.s004.docx (13KB, docx)
    Attachment

    Submitted filename: Response_to_Reviewers_auresp_3.docx

    pone.0319948.s005.docx (16.1KB, docx)

    Data Availability Statement

    This manuscript's data is publicly available via the Sabaragamuwa University of Sri Lanka online repository. Data can be found at the following URL: http://repo.lib.sab.ac.lk:8080/xmlui/handle/susl/4421


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