Determinants of Behavioral Intention to Use E-Government in Thailand: Mediating Role of Perceived Value of E-Government

Kittisak Jermsittiparsert(1), Talip Emiroglu(2), Oytun Sozudogru(3), Somsathid Phonwattana(4), Krissamaporn Pungpho(5),


(1) University of City Island, Cyprus and Duy Tan University, Vietnam
(2) University of City Island, Cyprus
(3) University of City Island, Cyprus
(4) University of City Island, Cyprus
(5) University of City Island, Cyprus

Abstract

The aim of this study was to know about the impact of social influence (SI), trust worthiness (TW), degree of openness (DO), technological risks (TR) and facilitating conditions (FC) on behavioral intention to use (BIU). This paper also aims to know the mediating role that perceived value of E-governance (PVG). This study was conducted in Thailand. Out of the total 292 respondents of this research, 112 were male and 180 respondents were females, which means that majority of the respondents were females.  Out of the total 292 respondents of this research, twenty-three of the respondents had completed their graduation, one hundred and thirty-six respondents had completed their post-graduation, one hundred and twenty-three respondents had completed their masters and ten respondents had other degrees.  Out of the total 292 respondents, 230 of the respondents were between the age of 21 to 30 years, 42 were in the age range of 31 to 40 years, 18 were between the age of 41 to 50 years, and lastly 2 were more than 50 years old in age.  The research showed that the impact of FC and SI is positive and significant on BIU. Whereas, TR, DO and TW have insignificant impact on BIU. The study also proposed that the mediating role of PVG is significant between FC, TW, TR and BIU is significant. Whereas, the mediating role of PVG between DO, SI and BIU is insignificant.

Keywords

Behavioral, Intention, E-Government, Thailand, Perceived

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References

References:

Abdullah, F., & Ward, R. (2016). Developing a General Extended Technology Acceptance Model for E-Learning (GETAMEL) by analysing commonly used external factors. Computers in human Behavior, 56, 238-256.

Al-Hujran, O., Al-Debei, M. M., Chatfield, A., & Migdadi, M. (2015). The imperative of influencing citizen attitude toward e-government adoption and use. Computers in human Behavior, 53, 189-203.

Alryalat, M., Dwivedi, Y. K., Williams, M. D., & Rana, N. P. (2013). Examining Role of Usefulness, Ease of Use and Social Influence on Jordanian Citizen's Intention to Adopt E-Government. Paper presented at the UKAIS.

Caruana, A. (2002). Service loyalty: The effects of service quality and the mediating role of customer satisfaction. European Journal of Marketing, 36(7/8), 811-828.

Chen, L., & Aklikokou, A. K. (2019). Determinants of E-government Adoption: Testing the Mediating Effects of Perceived Usefulness and Perceived Ease of Use. International Journal of Public Administration, 1-16.

Davis, F. (1989). A Technology Acceptance Model for Empiiically Testing New End-User Information Systems Theory and Results. Doctoral Dissertation, Sloan School of Management, Massachusetts Institute ….

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.

Gelbrich, K., & Sattler, B. (2014). Anxiety, crowding, and time pressure in public self-service technology acceptance. Journal of Services Marketing, 28(1), 82-94.

Gunawong, P., & Gao, P. (2017). Understanding e-government failure in the developing country context: a process-oriented study. Information Technology for Development, 23(1), 153-178.

Hamidi, A., & Safabakhsh, M. (2011). The impact of information technology on E. marketing. Procedia Computer Science, 3, 365-368.

Harrison, T. M., Guerrero, S., Burke, G. B., Cook, M., Cresswell, A., Helbig, N., . . . Pardo, T. (2012). Open government and e-government: Democratic challenges from a public value perspective. Information Polity, 17(2), 83-97.

Hien, N. M. (2014). A study on evaluation of e-government service quality. International Journal of Social, Management, Economics and Business Engineering, 8(1), 16-19.

Hill, N., & Alexander, J. (2017). The handbook of customer satisfaction and loyalty measurement: Routledge.

Jackson, J. D., Mun, Y. Y., & Park, J. S. (2013). An empirical test of three mediation models for the relationship between personal innovativeness and user acceptance of technology. Information & Management, 50(4), 154-161.

Jamal, A., & Naser, K. (2002). Customer satisfaction and retail banking: an assessment of some of the key antecedents of customer satisfaction in retail banking. International Journal of Bank Marketing, 20(4), 146-160.

Kalsi, N., Kiran, R., & Vaidya, S. (2009). Effective e-governance for good governance in India. International Review of Business Research Papers, 5(1), 212-229.

Kurfalı, M., Arifoğlu, A., Tokdemir, G., & Paçin, Y. (2017). Adoption of e-government services in Turkey. Computers in human Behavior, 66, 168-178.

Lee, J., Kim, H. J., & Ahn, M. J. (2011). The willingness of e-Government service adoption by business users: The role of offline service quality and trust in technology. Government Information Quarterly, 28(2), 222-230.

Malisuwan, S., Kaewphanuekrungsi, W., & Milindavanij, D. (2016). DIGITAL DIVIDE IN THAILAND: ANALYSIS AND RECOMMENDATIONS.

Mensah, I. K., & Mi, J. (2019). Computer Self-Efficacy and e-Government Service Adoption: The Moderating Role of Age as a Demographic Factor. International Journal of Public Administration, 42(2), 158-167.

Munyoka, W., & Manzira, M. F. (2014). From e-government to m-government-challenges faced by sub-Saharan Africa. Paper presented at the The International Conference on Computing Technology and Information Management (ICCTIM).

Nikou, S. A., & Economides, A. A. (2017). Mobile-based assessment: Investigating the factors that influence behavioral intention to use. Computers & Education, 109, 56-73.

Ntulo, G., & Otike, J. (2013). E–Government: Its Role, Importance and Challenges. School of Information Sciences. MoiUniversity.

Panagiotopoulos, P., Al-Debei, M. M., Fitzgerald, G., & Elliman, T. (2012). A business model perspective for ICTs in public engagement. Government Information Quarterly, 29(2), 192-202.

Prabhu, C. (2013). E-governance: concepts and case studies: PHI Learning Pvt. Ltd.

Rajput, A., Aharwal, R. P., Dubey, M., Saxena, S., & Raghuvanshi, M. (2011). J48 and JRIP rules for e-governance data. International Journal of Computer Science and Security (IJCSS), 5(2), 201.

Rose, J., Flak, L. S., & Sæbø, Ø. (2018). Stakeholder theory for the E-government context: Framing a value-oriented normative core. Government Information Quarterly, 35(3), 362-374.

Sagarik, D., Chansukree, P., Cho, W., & Berman, E. (2018). E-government 4.0 in Thailand: The role of central agencies. Information Polity, 23(3), 343-353.

Shouran, Z., Rokhman, N., & Priyambodo, T. K. (2019). Measuring the eGovernment Readiness: Proposed Framework. International Journal of Computer Applications, 975, 8887.

Smitha, K., Thomas, T., & Chitharanjan, K. (2012). Cloud based e-governance system: A survey. Procedia Engineering, 38, 3816-3823.

Susanto, T. D., & Aljoza, M. (2015). Individual acceptance of e-Government services in a developing country: Dimensions of perceived usefulness and perceived ease of use and the importance of trust and social influence. Procedia Computer Science, 72, 622-629.

Twizeyimana, J. D., & Andersson, A. (2019). The public value of E-Government–A literature review. Government Information Quarterly.

Wallang, M. (2018). Determinants that Influence Citizen's Usage of Different E-Government Services: A Malaysian Case Study.

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