Impact and Acceptance of Digitalization in the Indonesian Workplace
DOI:
https://doi.org/10.37680/ijief.v5i1.6697Keywords:
Digitalization, Employee Productivity, Management Support, Technology Acceptance Model, Workplace TechnologyAbstract
Digitalization has changed organizational dynamics and greatly improved operational efficiency in the workplace. Digitalization brings difficulties even with its benefits, especially with employee technological acceptability. This paper aims to investigate how digitalization affects employee productivity and workplace efficiency and to find elements influencing workers' technology adoption. A survey was conducted among 169 employees across various organizations in Indonesia, analyzing their perceptions of the usefulness, ease of use, and management support for digital technologies. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The study indicated that perceived usefulness is much influenced by perceived ease of use, which highly predicts technological uptake. While simplicity of use alone does not greatly affect acceptance without the acknowledged utility, management support is vital in helping the acceptance of technology. For digitalization to be effective, companies have to make sure staff members view these technologies as helpful in addition to using simple, user-friendly solutions. Technology adoption depends on a favorable environment, greatly fostered by management support.
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References
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Shin, J., Chung, K., Oh, J., & Lee, C. (2013). International Journal of Information Management The effect of site quality on repurchase intention in Internet shopping through mediating variables: The case of university students in South Korea. International Journal of Information Management, 33(3), 453–463. https://doi.org/10.1016/j.ijinfomgt.2013.02.003
Supriyanto, E., Istiatin, & Mursito, B. (2024). The Influence of Professionalism, Organizational Culture, Internal Control, and Commitment on Employee Performance at Baki Health Center, Sukoharjo Regency. Indonesian Journal of Islamic Economics and Finance, 4(1), 207–222. https://doi.org/10.37680/ijief.v4i1.5801
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Venkatesh, V., & Davis, F. D. (2000). Theoretical extension of the Technology Acceptance Model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information: Towar a Unified View. MIS Quarterly, 27(3), 425–478.
Weale, V. P., Wells, Y. D., & Oakman, J. (2017). Flexible working arrangements in residential aged care: Applying a person-environment fit model. Asia Pacific Journal of Human Resources, 55(3), 356–374. https://doi.org/10.1111/1744-7941.12142
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Westerman, G., & Davenport, T. H. (2018). Why So Many High-Profile Digital Transformations Fail. Harvard Business Review, 2(6).
Zhou, W., Tsiga, Z., Li, B., Zheng, S., & Jiang, S. (2018). What influences users' e-finance continuance intention? The moderating role of trust. Industrial Management and Data Systems, 118(8), 1647–1670. https://doi.org/10.1108/IMDS-12-2017-0602
Abroud, A., Choong, Y. V., Muthaiyah, S., & Fie, D. Y. G. (2015). Adopting e-finance: Decomposing the technology acceptance model for investors. Service Business, 9(1), 161–182. https://doi.org/10.1007/s11628-013-0214-x
Acemoglu, D., & Restrepo, P. (2018). Artificial Intelligence, Automation, and Work. In The Economics of Artificial Intelligence (No. 24196). https://doi.org/10.7208/chicago/9780226613475.003.0008
Agarwal, R., & Prasad, J. (1997). The Role of Innovation Characteristics and Perceived Voluntariness in the Acceptance of Information Technologies. Decision Sciences, 28(3), 557–582.
Alfira, A., Bharata, W., & Sanjaya, A. (2021). Media Sosial Marketing pada Instagram Shopee Indonesia dan Pengaruhnya terhadap Customer Engagement serta Brand Image. Indonesian Journal of Islamic Economics and Finance, 1(2), 95–104. https://doi.org/10.37680/ijief.v1i2.1079
Autor, D. H. (2015). Why are there still so many jobs? The history and future of workplace automation. Journal of Economic Perspectives, 29(3), 3–30. https://doi.org/10.1257/jep.29.3.3
Bhattacherjee, A. (2001). Understanding Information Systems Continuance: An Expectation-Confirmation Model. MIS Quarterly, 25(3), 351–370.
Bramantyo, P. D., & Utami, C. W. (2022). Technology Acceptance Model (TAM) Factors and Social Factors Analysis through Attitude towards to Use on Intention to Purchase of Kisah Kita Ngopi Online Café. Review of Management and Entrepreneurship, 6(1), 73–96. https://doi.org/10.37715/rme.v6i1.2456
Cavoukian, A., & Castro, D. (2014). Big Data and Innovation, Setting the Record Straight: De-identification Does Work: information and Privacy Commissioner, 18.
Cristobal, E., Flavián, C., & Guinalíu, M. (2007). Perceived e-service quality (PeSQ): Measurement validation and effects on consumer satisfaction and website loyalty. Managing Service Quality. https://doi.org/10.1108/09604520710744326
Davis, F. D. (1989). Perceived Usefulness, Ease of Use, and User Acceptance of Information Technology. Management Information Systems Quarterly, 13(3), 319–340.
Elidjen, Mihardjo, L. W. W., & Rukmana, R. A. N. (2019). Intervening role of innovation management on the relationship between digital leadership and dynamic capability accelerated by collaboration. International Journal of Innovation, Creativity and Change, 6(1), 249–264.
Esteban-Millat, I., Martínez-López, F. J., Pujol-Jover, M., Gázquez-Abad, J. C., & Alegret, A. (2018). An extension of the technology acceptance model for online learning environments. Interactive Learning Environments, 26(7), 895–910. https://doi.org/10.1080/10494820.2017.1421560
Foroughi, B., Iranmanesh, M., & Hyun, S. S. (2019). Understanding the determinants of mobile banking continuance usage intention. Journal of Enterprise Information Management, 32(6), 1015–1033. https://doi.org/10.1108/JEIM-10-2018-0237
Hadi, S., Setiawati, L., Kirana, K. C., Lada, S. Bin, & Rahmawati, C. H. T. (2024). The Effect of Digital Leadership and Organizational Support on Innovative Work Behavior: The Mediating Role of Emotional Intelligence. Quality - Access to Success, 25(199), 74–83. https://doi.org/10.47750/QAS/25.199.09
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate Data Analysis (Pearson Ne). Pearson Education Limited.
Ifinedo, P. (2018). Roles of perceived fit and perceived individual learning support in students’ weblogs continuance usage intention. International Journal of Educational Technology in Higher Education, 15(1). https://doi.org/10.1186/s41239-018-0092-3
King, W. R., & He, J. (2006). A meta-analysis of the technology acceptance model. Information and Management, 43(6), 740–755. https://doi.org/10.1016/j.im.2006.05.003
Latifah, E., Abadiyah, F., Muawanah, R., & Sukma, D. (2022). Bank Syariah Indonesia dalam Menguatkan Ekonomi Sektor UMKM pada Masa Pandemi. Indonesian Journal of Islamic Economics and Finance, 1(2), 139–152. https://doi.org/10.37680/ijief.v1i2.1151
Laudon, K. C., & Laudon, J. P. (2021). Management Information Systems: Managing the Digital Firm (16th ed.). Pearson.
Lee, J.-W., & Mendlinger, S. (2011). Perceived Self-Efficacy and Its Effect on Online Learning Acceptance and Student Satisfaction. Journal of Service Science and Management, 04(03), 243–252. https://doi.org/10.4236/jssm.2011.43029
Liang, T. P., Ho, Y. T., Li, Y. W., & Turban, E. (2011). What drives social commerce: The role of social support and relationship quality. International Journal of Electronic Commerce, 16(2), 69–90. https://doi.org/10.2753/JEC1086-4415160204
Mithas, S., Ramasubbu, N., Krishnan, M. S., & Fornell, C. (2007). Designing Web Sites for Customer Loyalty Across Business Domains: A Designing Web Sites for Customer Loyalty Across Business Domains : June 2014. https://doi.org/10.2753/MIS0742-1222230305
Neves, P., Almeida, P., & Velez, M. J. (2018). Reducing intentions to resist future change: Combined effects of commitment-based HR practices and ethical leadership. Human Resource Management, 57(1), 249–261. https://doi.org/10.1002/hrm.21830
O’Brien, J. A., & Marakas, G. M. (2019). Management Information Systems (13th ed.). McGraw Hill Education.
Omuudu, O. S., Francis, K., & Changha, G. (2022). Linking key antecedents of hotel information management system adoption to innovative work behavior through attitudinal engagement. Journal of Hospitality and Tourism Insights, 5(2), 274–291. https://doi.org/10.1108/JHTI-10-2020-0201
Putranto, A. J., Kistyanto, A., Tri, D., & Wardoyo, W. (2024). Integrating Information Technology and Transformational Leadership for Improved Employee Performance in Public Service. Indonesian Journal of Islamic Economics and Finance, 4(1), 135–146. https://doi.org/10.37680/ijief.v4i1.5619
Raintung, R. D., Warouw, Y. V, & ... (2024). Job Satisfaction as Mediator Between Organizational Culture and Employee Performance in Government-owned Bank. … Economics and …, 4(1), 1–16. https://doi.org/10.37680/ijief.v4i1.5213
Rauniar, R., Rawski, G., Yang, J., & Johnson, B. (2014). Technology acceptance model (TAM) and social media usage: An empirical study on Facebook. Journal of Enterprise Information Management, 27(1), 6–30. https://doi.org/10.1108/JEIM-04-2012-0011
Rogers, E. M. (1962). Diffusion of Innovations. In Achieving Cultural Change in Networked Libraries (3th Editio). Collier Macmillan Publishers. https://doi.org/10.4324/9781315263434-16
Rogers, E. M. (2003). Diffusion of Innovations (5th Editio). Free Press.
Shin, J., Chung, K., Oh, J., & Lee, C. (2013). International Journal of Information Management The effect of site quality on repurchase intention in Internet shopping through mediating variables: The case of university students in South Korea. International Journal of Information Management, 33(3), 453–463. https://doi.org/10.1016/j.ijinfomgt.2013.02.003
Supriyanto, E., Istiatin, & Mursito, B. (2024). The Influence of Professionalism, Organizational Culture, Internal Control, and Commitment on Employee Performance at Baki Health Center, Sukoharjo Regency. Indonesian Journal of Islamic Economics and Finance, 4(1), 207–222. https://doi.org/10.37680/ijief.v4i1.5801
Utomo, S. B. (2023). The Influence of Organizational Citizenship Behavior (OCB) on the Quality of Work Life and Employee Performance. Indonesian Journal of Islamic Economics and Finance, 3(1), 61–70. https://doi.org/10.51903/jimeb.v2i1.550
Venkatesh, V., & Davis, F. D. (2000). Theoretical extension of the Technology Acceptance Model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information: Towar a Unified View. MIS Quarterly, 27(3), 425–478.
Weale, V. P., Wells, Y. D., & Oakman, J. (2017). Flexible working arrangements in residential aged care: Applying a person-environment fit model. Asia Pacific Journal of Human Resources, 55(3), 356–374. https://doi.org/10.1111/1744-7941.12142
Westerman, G., Bonnet, D., & McAfee, A. (2014). The Nine Elements of Digital Transformation. MIT Sloan Management Review, 55(3), 1–8.
Westerman, G., & Davenport, T. H. (2018). Why So Many High-Profile Digital Transformations Fail. Harvard Business Review, 2(6).
Zhou, W., Tsiga, Z., Li, B., Zheng, S., & Jiang, S. (2018). What influences users' e-finance continuance intention? The moderating role of trust. Industrial Management and Data Systems, 118(8), 1647–1670. https://doi.org/10.1108/IMDS-12-2017-0602
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Published
2025-02-27
How to Cite
HR, L. A., Kesumah, F. S. D., & Huzaimah, R. F. (2025). Impact and Acceptance of Digitalization in the Indonesian Workplace. Indonesian Journal of Islamic Economics and Finance, 5(1), 1–14. https://doi.org/10.37680/ijief.v5i1.6697
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