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Determinants of citizen’s intention to use online e-government services : a validation of UMEGA model

Treść / Zawartość
Identyfikatory
Warianty tytułu
PL
Uwagi dotyczące zamierzeń obywatela do korzystania z usług e-rządu online : walidacja modelu UMEGA
Języki publikacji
EN
Abstrakty
EN
The aim of this research is to determine the citizen intention on online e-government services. The unified electronic government model (UMEGA) was used in the existing study to investigate in details regarding the individual attitude towards the intention. In addition, the trust factor was investigated as per the strong recommendations of previous researchers. In total of 396 valid responses have been taken from the tax-payers citizens of the Thailand. The findings of the study revealed that the attitude and trust are strong predictor of intention and attitude mediates among the relationship of trust and intention. Furthermore, the limitations of the study along with the future recommendations are also mentioned. Finally, practical implications are also discussed.
PL
Celem tego badania jest określenie intencji obywateli w zakresie usług administracji elektronicznej online. W istniejącym badaniu zastosowano zunifikowany model elektronicznego rządu (UMEGA), aby szczegółowo zbadać indywidualne podejście do intencji. Ponadto zbadano czynnik zaufania zgodnie z silnymi zaleceniami poprzednich badaczy. W sumie 396 ważnych odpowiedzi otrzymano od podatników będących obywatelami Tajlandii. Wyniki badania wykazały, że postawa i zaufanie są silnym predyktorem intencji, a postawa pośredniczy między relacją zaufania i intencji. Ponadto wymieniono również ograniczenia badania wraz z przyszłymi zaleceniami. Na koniec omówiono także praktyczne implikacje.
Rocznik
Strony
119--128
Opis fizyczny
Bibliogr. 27 poz., tab.
Twórcy
autor
  • Department of Economics Development and Society Empowerment Faculty of Political Government Institut Pemerintahan Dalam Negeri Sulawesi Selatan Indonesia
  • Department of Sociology, Faculty of Social and Political Science Universitas Nasional, Jakarta, Indonesia
  • STAI DDI Sidrap, Tugu Tani Majelling Watang Maritengngae, Sidenreng Rappang, Sulawesi Selatan, Indonesia
Bibliografia
  • 1. Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211.
  • 2. Alharbi, A., Kang, K., & Hawryszkiewycz, I. (2016). The Influence of Trust and subjective Norms on Citizens Intentions to Engage in E-participation on E-government Websites. arXiv preprint arXiv:1606.00746.
  • 3. Ali, S., Danish, M., Khuwaja, F.M., Sajjad, M.S., & Zahid, H. (2019). The Intention to Adopt Green IT Products in Pakistan: Driven by the Modified Theory of Consumption Values. Environments, 6(5), 53.
  • 4. Aziz, M.A., Abawajy, J., & Chowdhury, M. (2013). The challenges of cloud technology adoption in e-government. Paper presented at the 2013 International Conference on Advanced Computer Science Applications and Technologies.
  • 5. Bélanger, F., Carter, L. (2008). Trust and risk in e-government adoption. The Journal of Strategic Information Systems, 17(2), 165-176.
  • 6. Bere, R.C. (2015). Institutional structures in the growth pole policy from Romania. Administratie si Management Public, (24), 64.
  • 7. Carter, L., Bélanger, F. (2005). The utilization of e-government services: citizen trust, innovation and acceptance factors. Information Systems Journal, 15(1), 5-25.
  • 8. Chin, W.W., Marcoulides, G.A. (1998). Modern methods for business research. The partial least squares approach to structural equation modeling, 295 (January 1998), 237-246.
  • 9. Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
  • 10. 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.
  • 11. Fishbein, M., Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research, 181-202.
  • 12. Hair, J.F., Ringle, C.M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing theory and Practice, 19(2), 139-152.
  • 13. 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.
  • 14. Hung, S.-Y., Chang, C.-M., & Kuo, S.-R. (2013). User acceptance of mobile e-government services: An empirical study. Government Information Quarterly, 30(1), 33-44.
  • 15. Hung, S.-Y., Tang, K.-Z., Chang, C.-M., & Ke, C.-D. (2009). User acceptance of intergovernmental services: An example of electronic document management system. Government Information Quarterly, 26(2), 387-397.
  • 16. Lomax, R.G., Schumacker, R.E. (2004). A beginner's guide to structural equation modeling: psychology press.
  • 17. McKnight, D.H., Choudhury, V., & Kacmar, C. (2002). Developing and validating trust measures for e-commerce: An integrative typology. Information systems research, 13(3), 334-359.
  • 18. Nor, K.M. (2005). An empirical study of internet banking acceptance in Malaysia: an extended decomposed theory of planned behavior: Southern Illinois University at Carbondale.
  • 19. Ramli, N.A., Latan, H., & Nartea, G.V. (2018). Why should PLS-SEM be used rather than regression? Evidence from the capital structure perspective Partial least squares structural equation modeling (pp. 171-209): Springer.
  • 20. Rana, N.P., Dwivedi, Y.K., & Lal, B. (2015). Factors Influencing Citizen's Adoption of an E-Government System: Validation of the Decomposed Theory of Planned Behavior. Paper presented at the UKAIS.
  • 21. Rana, N.P., Dwivedi, Y.K., Lal, B., & Williams, M.D. (2015). Assessing Citizens' Adoption of a Transactional E-Government System: Validation of the Extended Decomposed Theory of Planned Behavior (DTPB). Paper presented at the PACIS.
  • 22. Rana, N.P., Dwivedi, Y.K., Lal, B., Williams, M.D., & Clement, M. (2017). Citizens’ adoption of an electronic government system: towards a unified view. Information Systems Frontiers, 19(3), 549-568.
  • 23. Schaupp, L.C., Carter, L. (2010). The impact of trust, risk and optimism bias on E-file adoption. Information Systems Frontiers, 12(3), 299-309.
  • 24. Strahan, E.J., Spencer, S.J., & Zanna, M.P. (2002). Subliminal priming and persuasion: Striking while the iron is hot. Journal of Experimental Social Psychology, 38(6), 556-568.
  • 25. Taylor, S., Todd, P. (1995). Decomposition and crossover effects in the theory of planned behavior: A study of consumer adoption intentions. International journal of research in marketing, 12(2), 137-155.
  • 26. Yeo, V.C.S., Goh, S.-K., & Rezaei, S. (2017). Consumer experiences, attitude and behavioral intention toward online food delivery (OFD) services. Journal of Retailing and Consumer Services, 35, 150-162.
  • 27. Zahid, H., & Haji Din, B. (2019). Determinants of Intention to Adopt E-Government Services in Pakistan: An Imperative for Sustainable Development. Resources, 8(3), 128.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d05926ee-90e3-498a-acbd-0ee63130b348
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