Public Perception Analysis of Digital Population Identity Policy in Pontianak City Using Technology Acceptance Model (TAM) Approach
Abstract
This study aims to analyze public awareness, perception, and acceptance of the implementation of the Digital Population Identity (DIC) policy in Pontianak City. Using a theoretical framework that integrates the technology acceptance model (TAM), the theory of risk and negative consequences, and the theory of organizational trust, this study explores factors such as usefulness, ease of use, user experience, social influence, facilitating conditions, awareness, perception, and public acceptance of DIC. A questionnaire-based survey was applied to the Pontianak City community selected through a stratified random sampling method. Data analysis was carried out using descriptive and inferential statistics to identify relationships between variables and evaluate factors that influence DIC adoption. The findings of this study are expected to provide relevant information for policymakers to develop strategies for implementing more adaptive and inclusive DIC policies. In addition, this study also identifies local challenges in implementing DIC, including data security and technology access, which can be a basis for developing digital policies in the future.
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Acharya, A. S., Prakash, A., Saxena, P., & Nigam, A. (2013). Sampling: Why and how of it. Indian Journal of Medical Specialties, 4(2), 330–333.
Anand, N., & Brass, I. (2021). Responsible innovation for digital identity systems. Data & Policy, 3, e35. https://doi.org/DOI: 10.1017/dap.2021.35
Andersen, M. S. (2021). Towards the Design of a Privacy-preserving Attribute Based Credentials-based Digital ID in Denmark – Usefulness, Barriers, and Recommendations. Proceedings of the 16th International Conference on Availability, Reliability and Security. https://doi.org/10.1145/3465481.3469211
Arunwatanamongkol, P., Nupairoj, N., & Tanlamai, U. (2021). Innovative Delegation Application in Thai National Digital Identity Platform. International Journal of Interactive Mobile Technologies (IJIM), 15(14), 17–37. https://doi.org/10.3991/ijim.v15i14.22055
Ayodele, O. (2024). Opening the ‘black box’ of national digital identity systems: another invisible border for Africans? Round Table, 113(5), 462–472. https://doi.org/10.1080/00358533.2024.2410547
Beduschi, A. (2019). Digital identity: Contemporary challenges for data protection, privacy and non-discrimination rights. Big Data & Society, 6(2), 2053951719855091. https://doi.org/10.1177/2053951719855091
Beduschi, A. (2021). Rethinking digital identity for post-COVID-19 societies: Data privacy and human rights considerations. Data & Policy, 3, e15. https://doi.org/DOI: 10.1017/dap.2021.15
Beldad, A. D., & Hegner, S. M. (2018). Expanding the Technology Acceptance Model with the Inclusion of Trust, Social Influence, and Health Valuation to Determine the Predictors of German Users’ Willingness to Continue using a Fitness App: A Structural Equation Modeling Approach. International Journal of Human–Computer Interaction, 34(9), 882–893. https://doi.org/10.1080/10447318.2017.1403220
Boysen, A. (2021). Decentralized, Self-Sovereign, Consortium: The Future of Digital Identity in Canada. Frontiers in Blockchain, 4. https://doi.org/10.3389/fbloc.2021.624258
Brandtzaeg, P. B., & Chaparro-Domínguez, M.-Á. (2019). From Youthful Experimentation to Professional Identity: Understanding Identity Transitions in Social Media. YOUNG, 28(2), 157–174. https://doi.org/10.1177/1103308819834386
Chaokromthong, K., & Sintao, N. (2021). Sample size estimation using Yamane and Cochran and Krejcie and Morgan and green formulas and Cohen statistical power analysis by G* Power and comparisions. Apheit International Journal, 10(2), 76–86.
Chen, L., & Aklikokou, A. K. (2020). Determinants of E-government Adoption: Testing the Mediating Effects of Perceived Usefulness and Perceived Ease of Use. International Journal of Public Administration, 43(10), 850–865. https://doi.org/10.1080/01900692.2019.1660989
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). Technology acceptance model. J Manag Sci, 35(8), 982–1003.
Friedhoff, T., Au, C. D., Ladnar, N., Stein, D., & Zureck, A. (2023). Analysis of Social Acceptance for the Use of Digital Identities. Computers, 12(3). https://doi.org/10.3390/computers12030051
Harbinja, E. (2017). Digital Inheritance in the United Kingdom. Journal of European Consumer and Market Law, 6, 253–256. https://api.semanticscholar.org/CorpusID:158382956
Hegner, S. M., Beldad, A. D., & Brunswick, G. J. (2019). In Automatic We Trust: Investigating the Impact of Trust, Control, Personality Characteristics, and Extrinsic and Intrinsic Motivations on the Acceptance of Autonomous Vehicles. International Journal of Human–Computer Interaction, 35(19), 1769–1780. https://doi.org/10.1080/10447318.2019.1572353
Hu, Z., Ding, S., Li, S., Chen, L., & Yang, S. (2019). Adoption Intention of Fintech Services for Bank Users: An Empirical Examination with an Extended Technology Acceptance Model. Symmetry, 11(3). https://doi.org/10.3390/sym11030340
Masiero, S., & Bailur, S. (2021). Digital identity for development: The quest for justice and a research agenda. In Information Technology for Development (Vol. 27, Issue 1, pp. 1–12). Routledge. https://doi.org/10.1080/02681102.2021.1859669
Mir, U. B., Kar, A. K., Dwivedi, Y. K., Gupta, M. P., & Sharma, R. S. (2020). Realizing digital identity in government: Prioritizing design and implementation objectives for Aadhaar in India. Government Information Quarterly, 37(2), 101442. https://doi.org/https://doi.org/10.1016/j.giq.2019.101442
Normalini, M. K., Ramayah, T., & Shabbir, M. S. (2019). Investigating the Impact of Security Factors In E-business and Internet Banking Usage Intention among Malaysians. Industrial Engineering & Management Systems. https://api.semanticscholar.org/CorpusID:211761334
Rim, H. (2023). Decentralized identity (DID): new technology adoption and diffusion in South Korea. Transforming Government: People, Process and Policy, 17(2), 251–270. https://doi.org/10.1108/TG-11-2021-0189
Royakkers, L., Timmer, J., Kool, L., & van Est, R. (2018). Societal and ethical issues of digitization. Ethics and Information Technology, 20(2), 127–142. https://doi.org/10.1007/s10676-018-9452-x
Silva, P., & Silva, P. (1 C.E.). Davis’ Technology Acceptance Model (TAM) (1989). In https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-4666-8156-9.ch013 (pp. 205–219). IGI Global Scientific Publishing. https://doi.org/10.4018/978-1-4666-8156-9.ch013
Tammpuu, P., & Masso, A. (2019). Transnational Digital Identity as an Instrument for Global Digital Citizenship: The Case of Estonia’s E-Residency. Information Systems Frontiers, 21(3), 621–634. https://doi.org/10.1007/s10796-019-09908-y
Tennant, A., & Conaghan, P. G. (2007). The Rasch measurement model in rheumatology: what is it and why use it? When should it be applied, and what should one look for in a Rasch paper? Arthritis Care & Research, 57(8), 1358–1362.
Thompson, S. K. (2012). Sampling (Vol. 755). John Wiley & Sons.
Udwan, G., Leurs, K., & Alencar, A. (2020). Digital Resilience Tactics of Syrian Refugees in the Netherlands: Social Media for Social Support, Health, and Identity. Social Media + Society, 6(2), 2056305120915587. https://doi.org/10.1177/2056305120915587
Wang, D., Jing, K. T., & Kan, Z. (2020). Progress in Energy and Environment Exploring the Application of Digital Data Management Approach for Facility Management in Shanghai’s High-rise Buildings. https://api.semanticscholar.org/CorpusID:251312123
Zahara, Z. (2024). Persepsi dan Keputusan Adopsi Inovasi Teknologi Berbasis Kearifan Lokal Pada Budidaya Kopi di Lampung. Jurnal Kawistara, 14(2), 226. https://doi.org/10.22146/kawistara.82505
Zulkifli, F., Abidin, R. Z., & Mohamed, Z. (2019). Evaluating the quality of exam questions: A multidimensional item response. International Journal of Recent Technology and Engineering, 8(2 Special Issue 11), 606–612. https://doi.org/10.35940/ijrte.B1094.0982S1119
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