User Acceptance Evaluation Model of IT Service Management Information Systems (SIMFONI) at BPJS Ketenagakerjaan based on Self-Efficacy and Cognitive Absorption

 

User Acceptance Evaluation Model of IT Service Management Information Systems (SIMFONI) at BPJS Ketenagakerjaan based on Self-Efficacy and Cognitive Absorption

  IJETT-book-cover           
  
© 2023 by IJETT Journal
Volume-71 Issue-12
Year of Publication : 2023
Author : Dhika Primayuda, Ditdit Nugeraha Utama
DOI : 10.14445/22315381/IJETT-V71I12P223

How to Cite?

Dhika Primayuda, Ditdit Nugeraha Utama, "User Acceptance Evaluation Model of IT Service Management Information Systems (SIMFONI) at BPJS Ketenagakerjaan based on Self-Efficacy and Cognitive Absorption," International Journal of Engineering Trends and Technology, vol. 71, no. 12, pp. 233-247, 2023. Crossref, https://doi.org/10.14445/22315381/IJETT-V71I12P223

Abstract
As information technology progresses, BPJS Ketenagakerjaan is required to improve its effectiveness and efficiency in all business processes through digitalization. BPJS Ketenagakerjaan changed the organizational structure by centralizing IT staff in Regional Offices and Head Offices and substituting the IT Service Management Information System (SIMFONI) for them under Directors’ Regulation No. 37 of 2020. According to a SIMFONI user satisfaction survey, there was a yearly decline in satisfaction, as shown in the BPJS Ketenagakerjaan data for February 2023. This study uses the Technology Adoption Model (TAM) and the external variables of self-efficacy and cognitive absorption to evaluate user adoption of SIMFONI and identify the elements that contribute to its success. This study employed a quantitative method with data from 400 respondents that was collected through a broadcast questionnaire distributed to all SIMFONI users and processed using SEM-PLS3. According to the study’s findings, Self-Efficacy (SE) and Cognitive Absorption (CA) have a significant and favorable impact on perceived usefulness (PU) and perceived ease of use (PEU), as well as PEU on PU and behavioral intention (BI), which are both significantly positively influenced by PU and PEU. This shows that the self-confidence and involvement of non-IT employees toward SIMFONI affect their perceived ease of use, usefulness, and intention to use SIMFONI. Regarding this, BPJS Ketenagakerjaan’s non-IT staff have adopted the SIMFONI system. This study significantly advances BPJS Ketenagakerjaan’s understanding of the variables affecting institutional information system acceptability and implementation. Institutions can find effective approaches and interventions to boost the use of SIMFONI by focusing on self-efficacy and cognitive absorption. This study differs from earlier studies and offers theoretical advances in understanding the user acceptability of information systems.

Keywords
Helpdesk systems, Technology acceptance model, Acceptance system information, Self-efficacy, Cognitive absorption.

References
[1] Jonathan Sarwono, “Basic Understanding of Structural Equation Modeling (SEM),” Krida Wacana Christian University, Jakarta, 2013.
[2] Ritu Agarwal, and Elena Karahanna, “Time Flies When You're Having Fun: Cognitive Absorption and Beliefs about Information Technology Usage,” MIS Quarterly, pp. 665-694, 2000.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Alwisol, Personality Psychology, Revised Edition, Malang: Umm Press, 2012.
[4] Janarthanan Balakrishnan, and Yogesh K. Dwivedi, “Role of Cognitive Absorption in Building User Trust and Experience,” Psychology and Marketing, Wiley, vol. 38, no. 4, pp. 643-668, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Albert Bandura, “Self-Efficacy,” Encyclopedia of Human Behavior, vol. 4, pp. 71-81, 1994.
[Google Scholar] [Publisher Link]
[6] Albert Bandura, “Self-Efficacy: The Exercise of Control,” Journal of Cognitive Psychotherapy, vol. 13, no. 2, 1997.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Weksi Budiaji, “The Measurement Scale and the Number of Responses in Likert Scale,” Journal of Agricultural and Fisheries Sciences, vol. 2, no. 2, pp. 127-133, 2013.
[Google Scholar]
[8] Jacky Chin, and Shu-Chiang Lin, “A Behavioral Model of Managerial Perspectives Regarding Technology Acceptance in Building Energy Management Systems,” Sustainability, vol. 8, pp. 1-13, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Zeynep Akkus Çutuk, “Investigating the Relationship among Social Media Addiction, Cognitive Absorption, and Self-Esteem,” Malaysian Online Journal of Educational Technology, vol. 9, no. 2, pp. 42-51, 2021.
[Google Scholar] [Publisher Link]
[10] Fred D. Davis, “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology,” Journal of MIS Quarterly, vol. 13, no. 3, pp. 319-340, 1989.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Directorate of Strategic Planning and IT BPJS Ketenagakerjaan, Data Recapitulation SIMFONI BPJS Ketenagakerjaan, Indonesia: BPJS Ketenagakerjaan, 2023.
[12] A. Djaali, “Skala Likert,” Jakarta: Pustaka Utama, 2008.
[Google Scholar]
[13] Endang Fatmawati, “Technology Acceptance Model (TAM) to Analyze Acceptance of the Library Information System’s,” Iqra Journal, vol. 9, no. 1, pp. 4-11, 2015.
[Google Scholar]
[14] K. Febriyani, and D. Suprajitno, “Influence Analysis Technology Acceptance Model (TAM) on the Use of the Village Financial System (Study on Village Fund Managers in Sruweng District),” Jurnal Ilmiah Mahasiswa Manajemen, Bisnis dan Akuntansi, pp. 515-528, 2020.
[15] J. Feist, and J. Gregory, Personality Theory, Seventh Edition, Jakarta: Publisher Salemba Humanika, 2010.
[16] Martin Fishbein, “A Behavior Theory Approach to the Relations between Beliefs about an Object and the Attitude toward the Object,” Mathematical Models in Marketing, pp. 87-88, 1967.
[CrossRef] [Google Scholar] [Publisher Link]
[17] M.A. Fishbein, and Icek Ajzen, Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research, Reading, MA: Addison-Wesley, 1975.
[Google Scholar]
[18] Vincentius Gerardo, and Ahmad Nurul Fajar, “Academic IS Risk Management using OCTAVE Allegro,” Journal of Information Systems and Informatics, vol. 4, no. 3, pp. 687-689, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[19] Imam Ghozali, “Structural Equation Modelling Alternative Method with Partial Least Square,” Semarang: Diponegoro University, 2006.
[Google Scholar]
[20] M. Nur Ghufron, and Rini Risnawita Risnawitaq, “Teori-Teori Psikologi,” Yogyakarta: Ar-Ruzz Media, 2017.
[Google Scholar] [Publisher Link]
[21] Petrus Guriting, and Nelson Oly Ndubisi, “Borne Online Banking: Evaluating Customer Perceptions and Behavioral Intention,” Management Research News, vol. 29, no.1/2, pp. 6-15, 2006.
[CrossRef] [Google Scholar] [Publisher Link]
[22] D.A. Herzamzam, “Increasing Motivation and Self-Efficacy of Learning Mathematics through Problem-Based Learning Models in Elementary School Students,” BASICEDU, pp. 2133-2144, 2021.
[23] Internet World Stats, 2022. [Online]. Available: https://www.internetworldstats.com/stats.htm
[24] Istijanto, Human Resources Research, Jakarta: PT, Gramedia Pustaka Utama, 2005.
[25] Karl G. Jöreskog, and Dag Sörbom, LISREL 8: Structural Equation Modeling with the SIMPLIS Command Language, Scientific Software International, 1993.
[Google Scholar] [Publisher Link]
[26] Heejung Lee, “Intrinsic and Extrinsic Motivations Affecting Impulse-Buying Tendency in Mobile Shopping,” Scientific Journal Publishers, vol. 46, no. 4, pp. 683-694, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[27] R. Likert, “A Technique for Measurement of Attitudes,” Archives of Psychology, pp. 5-55, 1932.
[Google Scholar] [Publisher Link]
[28] A.S. Mahardhika, Accountant in the Digital Era: Approach TAM (Technology Acceptance Model) in Accounting based Software, Jiak Modern Tzechar, 2019.
[29] M.F. Masri, Suyono, and P. Deniyanti, “The Influence of Problem-Based Learning Methods on Self-Efficacy and Mathematical Problem Solving Ability in View of Initial Mathematics Ability of High School Students,” Malaysian Societies Registration Department, vol. 11, no. 1, pp. 116-126, 2018.
[30] R. Maulana, Iskandar, and M. Mailany, “The Effect of Using Mobile Banking on Customer Interest in using Transactions Technology Acceptance Model,” Cyberspace: Journal of Information Technology Education, pp. 146–155, 2018.
[31] E. Noviarni, Analysis of Internet Banking Service Adoption by Banking Customers in Pekanbaru (Technology Acceptance Model), Al-Iqtishad: Journal of Sharia Economics, vol. 1, pp. 27-29, 2014.
[32] R. Nuryani, Self-Efficacy Mathematics, 2011. [Online]. Available: www.slideshare.net/Interest_Mathematics_2011/self-efficacy-matematis
[33] Chorng-Shyong Ong, and Jung-Yu Lai, “Gender Differences in Perceptions and Relationships among Dominants of E-Learning Acceptance,” Computers in Human Behavior, vol. 22, no. 5, pp. 816–829, 2006.
[CrossRef] [Google Scholar] [Publisher Link]
[34] J.E. Ormrod, Educational Psychology: Helping Students Grow and Develop, Universitas Ahmad Dahlan, 2009.
[35] Board of Directors Regulations BPJS Ketenagakerjaan, Position Name, Job Description and Job Requirements BPJS Ketenagakerjaan, PERDIR/37/10/2020, Jakarta, DKI Jakarta, Indonesia: BPJS Ketenagakerjaan, 2021.
[36] Pervin, and John, Personality Theory and Research, New York: John Wiley & Sons, Inc, 2001.
[37] Sana Rouis, “Impact of Cognitive Absorption on Facebook on Students' Achievement,” Cyberpsychology, Behavior, and Social Networking, vol. 15, no. 6, pp. 296-303, 2012.
[CrossRef] [Google Scholar] [Publisher Link]
[38] Raafat Saadé, and Bouchaib Bahli, “The Impact of Cognitive Absorption on Perceived Usefulness and Perceived Ease of Use in Online Learning: An Extension of the Technology Acceptance Model,” Information and Management, vol. 42, no. 2, pp. 317-327, 2005.
[CrossRef] [Google Scholar] [Publisher Link]
[39] Stuart J. Barnes, Andrew D. Pressey, and Eusebio Scornavacca, “Mobile Ubiquity: Understanding the Relationship between Cognitive <Absorption, Smartphone Addiction and Social Network Services,” Computers in Human Behavior, vol. 90, pp. 246-258, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[40] A.B. Shazkya, R.I. Rokhmawati, and A. Rachmadi, “Analysis of User Experience Using a Mixed-Methods Approach Study on the Coppamagz Website,” Development of Information Technology and Computer Science, pp. 3000-3005, 2018.
[41] D.D. Situmorang, M.E. Wibowo, and Mulawarman, “Active Music Therapy Group Counseling Based on Cognitive Behavior Therapy (CBT) to Increase Self-Efficacy of Millennials Students,” Psikohumaniora: Journal of Psychological Research, pp. 17–36, 2018.
[42] E.A. Sukma, M. Hadi, and F. Nikmah, “The Influence of the Technology Acceptance Model (TAM) and Trust on the Intention of Instagram Users,” 2019. 
[43] Okto Aditya Suryawirawan, “E-Commerce Shopping Experience towards College Student’s Intention to Adopt E-Commerce in The Future: Tam and Self-Efficacy Approach,” SEIKO: Journal of Management and Business, vol. 3, no. 3, pp. 129-142, 2020.
[Google Scholar] [Publisher Link]
[44] P. Deniyanti Suyono, and M.F. Masri, “The Influence of Problem-Based Learning Methods on Self-Efficacy and Mathematical Problem Solving Ability in View of Initial Mathematics Ability of High School Students,” Malaysian Societies Registration Department, 2018.
[45] Ronald L. Thompson, Christopher A. Higgins, and Jane M. Howell, “Personal Computing: Toward a Conceptual Model of Utilization,” MIS Quarterly, vol. 15, no. 1, pp. 125-143, 1991.
[CrossRef] [Google Scholar] [Publisher Link]
[46] Nattaporn Thongsri, Liang Shen, and Yukun Bao, “Investigating Academic Major Differences in Perception of Computer Self-Efficacy and Intention toward E-Learning Adoption in China,” Innovations in Education and Teaching International, vol. 57, no. 5, pp. 577-589, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[47] Nalugoti Milly et al., “Measuring Mobile Banking Adoption in Uganda Using the Technology Acceptance Model (TAM2) and Perceived Risk,” Open Journal of Business and Management, vol. 9, pp. 397-418, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[48] Viswanath Venkatesh, “Determinants of Perceived Ease of Use: Integrating Perceived Behavioral Control, Computer Anxiety, and Enjoyment into the Technology Acceptance Model,” Information Systems Research, vol. 11, no. 4, pp. 342-365, 2000.
[CrossRef] [Google Scholar] [Publisher Link]
[49] C.S. Nugroho, and S. Sugiono, “Analysis of the Effect of Image, Promotion, and Service Quality on Interest in Studying at Diploma III,” Faculty of Economics, Diponegoro University, Doctoral Dissertation, 2010.
[50] F. Ruric Vogel, and Salomé Human-Vogel, “Academic Commitment and Self-Efficacy as Predictors of Academic Achievement in Additional Materials Science,” Higher Education Research and Development, vol. 35, no. 6, pp. 1298-1310, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[51] Sandra Weniger, and Claudia Loebbecke, “Cognitive Absorption: Literature Review and Suitability in the Context of Hedonic IS Usage,” pp. 3-19, 2010.
[Google Scholar] [Publisher Link]