E-Government Adoption By Public Sector Employees In Dhaka.
Keywords:
E-government, adoption, influencing factors, intention, public sector, employeesAbstract
E-government essentially asserts the use of ICT, especially, use of internet to achieve better governments. Governments around the world, both developed and developing nations are trying to implement e-services. E-government is believed to enhance efficiency, transparency and facilitate the better work flow among public sector employees. However, the intentions of the public sector employees are influenced by several factors to adopt e-government. This study aims to identify the factors influencing the intention of the public sectors employees in Dhaka. TAM, DOI, UTAUT and UMEGA theories have been used to examine the factors. The factors which are derived from the literature are Perceived Usefulness, Perceived Ease of Use, Perceived Compatibility, Attitude, Social Influence and Performance Expectancy. Smart PLS 3.0 has been used as statistical tool to analyze the data and tests the conceptual model by using structural equation modeling. The finding of the study reveals the significant factors influencing the intention of the public sector employees in Dhaka. Research implications of this study are discussed.
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Ahmed, W., Hizam, S. M., Sentosa, I., Akter, H., Yafi, E., & Ali, J. (2020). Predicting IoT service adoption towards smart mobility in Malaysia: SEM-neural hybrid pilot study. International Journal of Advanced Computer Science and Applications, 11(1), 524–535.
Almukhlifi, A., Deng, H., & Kam, B. (2019). E-Government Adoption in Saudi Arabia: The Moderation Influence of Transparency. Journal of Advances in Information Technology, 10(1), 1–8.
Al-Ma'aitah, M. (2019). Drivers of E-Government Citizen Satisfaction and Adoption: The Case of Jordan. International Journal of E-Business Research (IJEBR), 15(4), 40-55.
Aljazzaf, Z. M., Al-Ali, S. A., & Sarfraz, M. (2020). E-participation model for kuwait e-government. International Journal of Advanced Computer Science and Applications, 2, 192–199.
Al-Refaie, A., & Ramadna, A. M. (2020). Barriers to E-Government Adoption in Jordanian Organizations from Users' and Employees' Perspectives. In Open Government: Concepts, Methodologies, Tools, and Applications (pp. 2190-2210). IGI Global.
Batara, E., Nurmandi, A., Warsito, T., & Pribadi, U. (2017). Are government employees adopting local e- government transformation? The need for having the right attitude, facilitating conditions and performance expectations. Transforming Government: People, Process and Policy, 11(4), 612–638.
Carter, L., & Bélanger, F. (2005). The utilization of e-government services: Citizen trust, innovation and acceptance factors. Information Systems Journal, 15(1), 5–25.
Chan, F. K., Thong, J. Y., Venkatesh, V., Brown, S. A., Hu, P. J., & Tam, K. Y. (2010). Modeling Citizen Satisfaction with Mandatory Adoption of an E-Government Technology. Journal of the Association for Information Systems, 11(10), 519–549.
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.
Cohen, J. (1988). Set correlation and multivariate methods. Statistical Power Analysis for the Behavioral Sciences. Associates, Inc, . 2nd Ed. Hillsdale, NJ: Lawrence Erlbaum, 467–530.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 319–340.
Deng, H., Karunasena, K., & Xu, W. (2018). Evaluating the performance of e-government in developing countries: A public value perspective. Internet Research, 28(1), 169–190.
Dwivedi, Y. K., Rana, N. P., Janssen, M., Lal, B., Williams, M. D., & Clement, M. (2017). An empirical validation of a unified model of electronic government adoption (UMEGA). Government Information Quarterly, 34(2), 211–230.
Dutton, W., & Kraemer, K. (1979). Automation of bias-computer-models and Local-Government Budgeting. Information Privacy, 1(7), 303–311.
Fishbein, M. and Ajzen, I. (1975). Belief, Attitude, Intention and Behaviour: An Introduction to Theory and Research,. Addison-Wesley, Reading, MA.
Garson, G. D. (2016). Partial Least Squares: Regression & Structural Equation Models (2016 Editi). Asheboro: Statistical Associates Publishing.
Ghozali, I. and H. L. (2015). Partial Least Squares: Concepts, Technique, and Application use SmartPLS
0 Program. Edition 2. Semarang: Undip.h
Glyptis, L., Christofi, M., Vrontis, D., Del Giudice, M., Dimitriou, S., & Michael, P. (2020). E-Government implementation challenges in small countries: The project manager's perspective. Technological Forecasting and Social Change, 152, 119880.
Hariguna, T., Hung, C. W., & Sukmana, H. T. (2019). The antecedent of citizen intention use of e- government service. TELKOMNIKA, 17(1), 202–209.
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.
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2018). Article information : When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24.
Hernandez, K. (2019). Barriers to Digital Services Adoption in Bangladesh. K4D Helpdesk Report 573. Brighton, UK: Institute of Development Studies.
Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: updated guidelines. Industrial Management & Data Systems, 116(1), 2–20.
Ibrahim, O. A., & Zakaria, N. H. (2014). Towards a model of e-government services adoption among employees in developing countries. Journal of Information Systems Research and Innovation, 8(1), 66–74. http://seminar.utmspace.edu.my/jisri
Jacob, D. W., Fudzee, M. F. M., Salamat, M. A., & Herawan, T. (2019). A review of the generic end-user adoption of e-government services. International Review of Administrative Sciences, 85(4), 799-818.
Kante, Macire & Chepken, Christopher & Oboko, R. (2018). Partial Least Square Structural Equation Modelling ’ use in Information Systems : an updated guideline of practices in exploratory settings. Kabarak Journal of Research & Innovation., 6(1), 49–67.
Krejcie, R. V., & Morgan, D. W. (1970). “Determining sample size for research activities.” Educational and Psychological Measurement, 30(3), 607–610.
Manoharan, A. P., & Ingrams, A. (2018). Conceptualizing E-Government from Local Government Perspectives. State and Local Government Review, 50(1), 56–66.
Mensah, I. K. (2019). Impact of government capacity and E-government performance on the adoption of E- Government services. International Journal of Public Administration.
Mensah, Isaac Kofi. (2020). Perceived Usefulness and Ease of Use of Mobile Government Services : The Moderating Impact of Electronic Word of Month ( eWOM ). International Journal of Technology Diffusion, 11(1), 1–16.
Norris, D. F., & Lloyd, B. A. (2006). The scholarly literature on e-government: Characterizing a nascent field. International Journal of Electronic Government Research (IJEGR), 2(4), 40–56.
Palaco, I., Park, M. J., Kim, S. K., & Rho, J. J. (2019). Public–private partnerships for e-government in developing countries: an early stage assessment framework. Evaluation and program planning, 72, 205-218.
Roblek, V., Bach, M. P., Meško, M., & Bertoncel, T. (2020). Best practices of the social innovations in the framework of the e-government evolution. Amfiteatru Economic, 22(53), 177.
Rogers, E. M. (1995). Diffusion of Innovation (4th ed.). New York Press.
Romano, R., Tomic, O., Liland, K. H., Smilde, A., & Næs, T. (2019). A comparison of two PLS-based approaches to structural equation modeling. Journal of Chemometrics, 33(3).
Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill building approach. John Wiley & Sons.
Sentosa, I., Sinaga, O., Zainal, Z., & Djaya, A. H. M. (2019). Developing Islamic smart city management using organisation public relationship (OPR) effectiveness: A structural equation modeling (SEM) partial least square approach. Humanities and Social Sciences
Sentosa, I., Zulhazmi, A., Rashid, A., Hizam, S. M., & Hawariyuni, W. (2017). An Empirical Study on the Internet Usage among Young Creative Entrepreneurs in Malaysia : A Structural Equation Modelling Approach. Proceedings of AICS-Social Sciences, 7, 447–456.
Shajari, M., & Ismail, Z. (2014). Constructing an adoption model for e-Government services. Jurnal Teknologi (Sciences and Engineering), 68(2), 29–37.
Stefanovic, D., Marjanovic, U., Delić, M., Culibrk, D., & Lalic, B. (2016). Assessing the success of e- government systems: An employee perspective. Information and Management, 53(6), 717–726.
Tan, H., Zhao, X., & Zhang, N. (2020). Technology symbolization: political mechanism of local e- government adoption and implementation. International Review of Administrative Sciences, 0020852320915637.
Taamneh, Mohammed, Sahem Nawafleh, Shaker Aladwan, and N. A. (2019). "Provincial governors and their role in local governance and development in the Jordanian context. Journal of Public Affairs, 19(1).
Talukder, M. S., Shen, L., Talukder, M. F. H., & Bao, Y. (2019). Determinants of user acceptance and use of open government data (OGD): An empirical investigation in Bangladesh. Technology in Society, 56, 147-156.
Tokdemir, G., Paçin, Y., Kurfal, M., & Arifo, A. (2017). Adoption of e-government services in Turkey. Computers in Human Behavior, 66, 168–178.
Urbach, N., & Ahlemann, F. (2010). Structural equation modeling in information systems research using partial least squares. Journal of Information Technology Theory and Application, 11(2), 5–40.
Venkatesh, V., Morris, M., Davis, G., & Davis, F. (2003). User acceptance of information technology: Toward a unified view. , 27, 425e478. MIS Quarterly, 27, 425–478.
West, D. M. (2001). E-Government and the Transformation of Service Delivery and Citizen Attitudes. 15– 28.
Yang, M., Shao, Z., Liu, Q., & Liu, C. (2017). Understanding the quality factors that influence the continuance intention of students toward participation in MOOCs.
Yera, Ainhoa, Olatz Arbelaitz, Oier Jauregui, and Javier Muguerza. "Characterization of e-Government adoption in Europe." Plos one 15, no. 4 (2020): e0231585.
Ziba, P. W., & Kang, J. (2020). Factors affecting the intention to adopt e-government services in Malawi and the role played by donors. Information Development, 36(3), 369-389.
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