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. 2020 Jan 2;161:1106–1113. doi: 10.1016/j.procs.2019.11.222

Impact of Alignment between Social Media and Business Processes on SMEs’ Business Process Performance: A Conceptual Model

Lolanda Hamim Annisa 1, Mahendrawathi ER 1
PMCID: PMC7128479  PMID: 32288899

Abstract

The development of information technology highly affects various business sectors including Small and Medium Enterprises (SMEs). Social media implementation, as one of the most widely used IT application, is expected to support SMEs’ performances. Many types of research in social media have focused on the impact of its implementation on the performance of an organization at a macro level. Research that investigates the linkage between social media and how the company performs its business process is lacking in the literature to date. This study aims to fill this gap by conducting a literature review on social media implementation particularly in SMEs. The result of this study is a conceptual model that follows the proposition of Task-Technology Fit in exploring the impact of social media on SMEs business process performances. As a technology, social media functionality must fit the tasks that SMEs must perform. The model proposed social media alignment with business process domain based on the Process Classification Framework (PCF). The performances are measured at a business process level using four indicators i.e. cost, time, quality and flexibility of the business process.

Keywords: Social Media, SMEs, Information Technology, Task-Technology Fit, PCF

References

  • 1.Bank Indonesia. (2016) “Profil Bisnis Usaha Mikro, Kecil, dan Menengah (UMKM) [Title in English: Business Profile of Micro, Small And Medium Enterprises (SMEs)].” Lembaga Pengembangan Perbankan Indonesia LPPI.
  • 2.Ministry-of-Industry. (2018) “Indonesia’s Fourth Industrial Revolution Making Indonesia 4.0.” p. 55.
  • 3.Rosemann Michael. “Handbook on Business Process Management 2”, in. Handbook. Business Process Management; 2010. [Google Scholar]
  • 4.APQC. (2018) “APQC - 2018.”
  • 5.ER, Mahendrawathi. (2018) Business Process Management, Konsep dan Implementasi, 1st ed., Yogyakarta, Andi.
  • 6.Cragg Paul, Mills Annette. "IT support for business processes in SMEs.". Business Process Management Journal. 2011;17(5):697–710. [Google Scholar]
  • 7.Choi Youngtae, Thoeni Andrew. "Social Media is This The New Organizational Stepchild?". European Business Review. 2016;28(1):21–38. [Google Scholar]
  • 8.Kietzmann Jan H, Hermkens Kristopher, McCarthy Ian P., Silvestre Bruno.S. "Social media? Get serious! Understanding the Functional Building Blocks Of Social Media.". Business Horizons. 2011;54(3):241–251. [Google Scholar]
  • 9.Md Dawot Nur Intan, Ibrahim Roliana. "A Review of Features and Functional Building Blocks of Social Media", in 2014 8th. Malaysian Software Engineering Conference (MySEC) Langkawi, Malaysia; 2014. pp. 177–182. [Google Scholar]
  • 10.Crumbly Jack, Carter Lemuria. "Social Media and Humanitarian Logistics: The Impact of Task-technology Fit on New Service Development.". Procedia Engineering. 2015;107:412–416. [Google Scholar]
  • 11.Widagdo Putut Pamilih, Susanto Tony Dwi. "Pengaruh Kesesuaian Teknologi Pada Tugas (Task Technology Fit ) Terhadap Kinerja Individu Dalam Menggunakan Teknologi Informasi (Studi Kasus : Universitas Mulawarman) [Title in English: Effect of Technology Suitability on Tasks (Task Technology Fit) on Individual Performance in Using Information Technology (Case Study: Mulawarman University)]", in. Pros. Seminar Nasional Manajemen Teknologi XXIII. 2015:1–12. [Google Scholar]
  • 12.Ainin Sulaiman, Parveen Farzana, Moghavvemi Sedigheh, Jaafar Noor Ismawati, Shuib Nor Liyana Mohd. "Factors Influencing The Use of Social Media by SMEs and its Performance Outcomes.". Industrial Management & Data System. 2015;115(3):570–588. [Google Scholar]
  • 13.Dumas, Marlon (2009) “Fundamentals of Business Process Management (BPM).”
  • 14.Ali, I.M, Y.Y Jusoh, R. Abdulloh, and R. N. H. Nor. (2018) “A Review on The Performance Measurement of Big Data Analytics Process.” Journal Fundamental Applied Science
  • 15.Lukito Louis Christy, Erwin Alva, Purnama James, Danoekoesoemo Wulan. "Social Media User Personality Classification Using Computational Linguistic", in 8th International Conference on Information Technology and Electrical Engineering (ICITEE) Yogyakarta, Indonesia; 2016. pp. 1–6. [Google Scholar]
  • 16.Mihaltz Marton, Varadi Tamas. "TrendMiner: Large-Scale Analysis of Political Attitudes in Public Facebook Messages", in 2015 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom) Gyor, Hungary; 2015. p. 265. [Google Scholar]
  • 17.Bhagat P Amol, Dongre Kiran A., Khodke Priti.A. "Cut-based Classification for User Behavioral Analysis On Social Websites", in International Conference on Green Computing and Internet of Things (ICGCIoT) Greater Noida, Delhi, India; 2015. pp. 53–59. [Google Scholar]
  • 18.Do Hyo Jin, Lim Chae-Gyun, Kim You Jin, Choi Ho-Jin. "Analyzing Emotions in Twitter During a Crisis: A Case Study of The 2015 Middle East Respiratory Syndrome Outbreak in Korea," in. 2016 International Conference on Big Data and Smart Computing, Big Comp 2016. 2016:415–418. [Google Scholar]
  • 19.Lin Tung-Ching, Huang Chien-Chih. "Understanding Knowledge Management System Usage Antecedents: An Integration of Social Cognitive Theory and Task Technology Fit.". Inf. Manage. 2008;45(6):410–417. [Google Scholar]
  • 20.Lee K.O Matthew, Christy M.K.Cheung, Chen Zhaohui. "Understanding User Acceptance of Multimedia Messaging Services: An Empirical Study.". Journal of The American Society for Information Science and Technology. 2007;58(13):2066–2077. [Google Scholar]
  • 21.Goodhue L Dale, Thompson Ronald L. "Task-Technology Fit and Individual Performance.". Mis Q. 1995;19(2):213. [Google Scholar]
  • 22.Kueng Peter. "Process Performance Measurement System: A Tool to Support Process-Based Organizations.". Total Quality Management. 2000;11(1):67–85. [Google Scholar]
  • 23.Neely, Andy (1999) “Measurement Revolution: Why Revolution Now and What Next?” 24.
  • 24.Rosemann Michael, Brooke Jan Vom. "The Six Core Elements of Business Process Management", in J. vom Brocke and M. Rosemann (eds), Handbook on Business Process Management 1. Berlin, Heidelberg, Springer Berlin Heidelberg; 2010. [Google Scholar]
  • 25.Looy Amy Van, Shafagatova Aygun. "Business Process Performance Measurement: A Structured Literature Review of Indicators, Measures, and Metrics.". Springer Plus. 2016;5(1):1–24. doi: 10.1186/s40064-016-3498-1. [DOI] [PMC free article] [PubMed] [Google Scholar]

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