An investigation of the factors affecting citizens’ adoption of e-government in Indonesia
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DOIhttp://dx.doi.org/10.21511/ppm.21(2).2023.21
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Article InfoVolume 21 2023, Issue #2, pp. 187-197
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The citizen acceptance of e-government is widely researched in industrialized nations; however, only a few studies have looked at the adoption of e-government in developing nations, including Indonesia. This study aims to identify the elements influencing Indonesian citizens’ acceptance of electronic governance. The following models are suggested to achieve this purpose: the information system success model (ISSM) and the technology adoption model (TAM). The sample includes 735 respondents in Indonesia; the self-selection convenience sampling technique was used in this study. The findings indicated that perceived usefulness is positively impacted by system quality (β = 0.113; p < 0.05), information quality (β = 0.502; p < 0.05), and service quality (β = 0.285; p < 0.05). Furthermore, considering the TAM model, perceived usefulness (β = 0.762; p < 0.05) has a favorable impact on intentions to use e-government, and intention to use (β = 0.502; p < 0.05) favorably influences user behavior. The findings of this study advance theoretical knowledge by developing and validating an integrated model for the effect of e-government adoption, information quality, system quality, and service quality on perceived usefulness. Risks may be lessened by enhancing the systems and capabilities that enable citizens to use e-government. Additionally, this paper offers various recommendations for improving and promoting e-government in Indonesia.
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JEL Classification (Paper profile tab)H83, M38, O38
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References43
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Tables5
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Figures0
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- Table 1. Independent variables
- Table 2. Demographic statistics
- Table 3. Descriptive statistics
- Table 4. Validity and reliability
- Table 5. PLS path algorithm and bootstrapping
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- Ahn, T., Ryu, S., & Han, I. (2007). The impact of web quality and playfulness on user acceptance of online retailing. Information & Management, 44(3), 263-275.
- Almalki, O. (2014). A framework for e-government success from the user’s perspective. The University of Bedfordshire.
- Alsaif, M. (2014). Factors affecting citizens’ adoption of e-government moderated by socio-cultural values in Saudi Arabia. The University of Birmingham.
- Aswar, K., Ermawati, E., Juliyanto, W., Andreas, A., & Wiguna, M. (2022). Adoption of e-government by Indonesian state universities: An application of Technology Acceptance Model. Problems and Perspectives in Management, 20(1), 396-406.
- Badan Pusat Statistik. (2017). Statistical yearbook of Indonesia. Jakarta, Indonesia: Badan Pusat Statistik.
- Bannister, F., & Connolly, R. (2014). ICT, public values and transformative government: A framework and programme for research. Government Information Quarterly, 31(1), 119-128.
- Carter, L., & Bélanger, F. (2005). The utilization of e-government services: Citizen trust, innovation and acceptance factors. Information Systems Journal, 15(1), 5-25.
- Carter, L., & Weerakkody, V. (2008). E-government adoption: A cultural comparison. Information Systems Frontiers, 10, 473-482.
- Carter, L., Weerakkody, V., Phillips, B., & Dwivedi, Y. K. (2016). Citizen adoption of e-government services: Exploring citizen perceptions of online services in the United States and United Kingdom. Information Systems Management, 33(2), 124-140.
- Chen, C.-W. D., & Cheng, C.-Y. J. (2009). Understanding consumer intention in online shopping: A respecification and validation of the DeLone and McLean model. Behaviour & Information Technology, 28(4), 335-345.
- Chen, J. V., Jubilado, R. J. M., Capistrano, E. P. S., & Yen, D. C. (2015). Factors affecting online tax filing – An application of the IS Success model and trust theory. Computers in Human Behavior, 43, 251-262.
- Clift, S. L. (2004). E-government and democracy. Representation and citizen engagement in the information age (40 p.). Publicus.
- Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
- DeLone, W. H., & Mclean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60-95.
- DeLone, W. H., & Mclean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9-30.
- Dwiyanto, A. (2013). Mengembalikan kepercayaan publik melalui reformasi birokrasi. Jakarta: Gramedia Pustaka Utama. (In Indonesian).
- Fang, Z. (2002). E-government in digital era: Concept, practice, and development. International Journal of the Computer, the Internet and Management, 10(2), 1-22.
- Gao, L., & Bai, X. (2014). An empirical study on continuance intention of mobile social networking services: Integrating the IS success model, network externalities and flow theory. Asia Pacific Journal of Marketing and Logistics, 26(2), 168-189.
- Gefen, D., & Straub, D. (2003). Managing user trust in B2C e-Services. E-Service Journal, 2(2), 7-24.
- Hair JR, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publications.
- Holmes, D. (2001). Egov: Ebusiness strategies for government. Nicholas Brealey Publishing.
- Jaradat, M. I. R. M., Moustafa, A. A., & Al-Mashaqba, A. M. (2018). Exploring perceived risk, perceived trust, perceived quality and the innovative characteristics in the adoption of smart government services in Jordan. International Journal of Mobile Communications, 16(4), 399-439.
- Jayawardhena, C. (2004). Measurement of service quality in internet banking: The development of an instrument. Journal of Marketing Management, 20(1-2), 185-207.
- Jiang, X. (2011). Enhancing users’ continuance intention to e-government portals: An empirical study. International Conference on Management and Service Science (MASS) (pp. 1-4).
- Khan, A., & Woosley, J. M. (2011). Comparison of contemporary technology acceptance models and evaluation of the best fit for health industry organizations. The International Journal of Computer Science & Emerging Technologies, 1(11), 709-717.
- Lean, O. K., Zailani, S., Ramayah, T., & Fernando, Y. (2009). Factors influencing intention to use e-government services among citizens in Malaysia. International Journal of Information Management, 29(6), 458-475.
- Lu, N. L., & Nguyen, V. T. (2016). Online tax filing – E-government service adoption case of Vietnam. Modern Economy, 7(12).
- Nguyen, H. N., & Tran, M. D. (2022). Stimuli to adopt e-government services during Covid-19: Evidence from Vietnam. Innovative Marketing, 18(1), 12-22.
- Osman, I. H., Anouze, A. L., Irani, Z., Al-Ayoubi, B., Lee, H., Balcı, A., Medeni, T. D., & Weerakkody, V. (2014). COBRA framework to evaluate e-government services: A citizen-centric perspective. Government Information Quarterly, 31(2), 243-256.
- Ozkan, S., & Kanat, I. E. (2011). e-Government adoption model based on theory of planned behavior: Empirical validation. Government Information Quarterly, 28(4), 503-513.
- Pai, F.-Y., & Huang, K. I. (2011). Applying the technology acceptance model to the introduction of healthcare information systems. Technological Forecasting and Social Change, 78(4), 650-660.
- Palvia, S. C. J., & Sharma, S. S. (2007). E-government and e-governance: Definitions/domain framework and status around the world. International Conference on Foundations of E-governance.
- Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64(1), 12-40.
- Rachmawati, Aswar, K., Sumardjo, M., Wiguna, M., & Hariyani, E. (2022). Personal and reliability factors affecting adoption and utilization of e-government: an effect of intention to use. Problems and Perspectives in Management, 20(2), 281-290.
- Seddon, P. B., & Kiew, M. Y. (1996). A partial test and development of the DeLone and McLean model of IS success. Australasian Journal of Information Systems, 4(1), 90-109.
- Shareef, M. A., Kumar, V., Kumar, U., & Dwivedi, Y. K. (2011). e-Government adoption model (GAM): Differing service maturity levels. Government Information Quarterly, 28(1), 17-35.
- Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information systems research, 6, 144-176.
- Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.
- Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157-178.
- Weiss, T. G. (2000). Governance, good governance and global governance: Conceptual and actual challenges. Third World Quarterly, 21(5), 795-814.
- West, D. M. (2004). E-government and the transformation of service delivery and citizen attitudes. Public Administration Review, 64(1), 15-27.
- Xie, Q., Xie, Q., Song, W., Song, W., Peng, X., Peng, X., Shabbir, M., & Shabbir, M. (2017). Predictors for e-government adoption: Integrating TAM, TPB, trust and perceived risk. The Electronic Library, 35(1), 2-20.
- Zhou, T. (2011). Examining the critical success factors of mobile website adoption. Online Information Review, 35(4), 636-652.