A Systematic Review: Factors Affecting Employees’ Adoption of E-government Using an Integration of UTAUT & TTF Theories
Abstract
Information and communication technologies (ICT) have been implemented mainly in government organizations, where e-government has become prevalent. The previous research focuses mostly on e-government adoption from the perspective of citizens. However, there is a scarcity of research conducted from the viewpoint of the employee. This study tried to identify and predict the factors that influence an employee to adopt technology implemented at the workplace by focusing on acceptance technology theories. The unified theory of acceptance and usage of technology (UTAUT) and Task-technology fit (TTF) using relevant findings in this review. The attempt to conduct a comprehensive explanation and analysis of the existing literature up to 2018, to understand the current situation of e-government implementation. Reviewing procedures were done by reviewing articles on e-government and related work by using indexing databases “web of science & Scopus. Finally, the results of this paper are the factors that make employees directly or indirectly adopt e-government.
References
[1] Ajzen, I, & Fishbein, M. (1975). Understanding attitudes and predicting social behaviour. Retrieved from http://www.citeulike.org/group/38/article/235626
[2] Ajzen, Icek. (1985). Behavioural Interventions Based on the Theory of Planned Behavior. Action Control, 11–39. https://doi.org/10.1007/978-3-642-69746-3_2
[3] Al-Mutairi, A., Naser, K., & Fayez, F. (2018). Obstacles toward Adopting Electronic Government in An Emerging Economy: Evidence from Kuwait. Asian Economic and Financial Review, 8(6), 832–842. https://doi.org/10.18488/journal.aefr.2018.86.832. 842
[4] Al-nidawi, W. J. A., Al-wassiti, S. kamil J., Maan, M. A., & Othman, M. (2018). A Review in E-government Service Quality Measurement. Indonesian Journal of Electrical Engineering and Computer Science, 10(3), 1257–1265. https://doi.org/10.11591/ijeecs. v10.i3.pp1257-1265
[5] Alkhatib, H. (2013). E-Government Systems Success and User Acceptance in Developing Countries: The Role of Perceived Support Quality.
[6] Almarabeh, T., & Abuali, A. (2010). A General Framework for E-Government: Definition Maturity Challenges, Opportunities, and Success. European Journal of Scientific Research, 39(1), 1450–216. Retrieved from http://www.eurojournals.com/ejsr.htm
[7] Bakker, A. B. (2018). Multiple Levels in Job Demands-Resources Theory: Implications for Employee Well-being and Performance. Rotterdam, The Netherland,
[8] Bandura, A. (1986). Social foundation of thought and action: A social-cognitive view. NJ: Prentice Hall.
[9] Davis, F. D. (1986). A technology acceptance model for empirically testing new enduser information systems: Theory and results. Management, PhD (April), 291. https: //doi.org/oclc/56932490
[10] Dewa, M., Zlotnikova, I., & Science, C. (2014). Citizens ’ Readiness for e-Government Services in Tanzania, 3(4), 37–45.
[11] El-dosuky, M., & El-adl, G. H. (2019). GIZAChain: e-Government Interoperability Zone Alignment, based on blockchain technology. PeerJ Preprints, 2.
[12] Goodhue, D. L., & Thompson, R. L. (1995). Task-Technology Fit and Individual Performance. MIS Quarterly, 19(2), 213. https://doi.org/10.2307/249689.
[13] Greenland, A. (2019). Teachers’ Perspectives on Using Information and Communications Technology (ICT) to Improve Reading Comprehension: A Qualitative Study. Northcentral University.
[14] Joshi, P. R., & Islam, S. (2018). E-Government Maturity Model for Sustainable EGovernment Services from the Perspective of Developing Countries. Sustainability, 10(6), 1882. https://doi.org/10.3390/su10061882.
[15] Lai, P. C. (2017). The Literature Review of Technology Adoption Models and Theories for the Novelty Technology, 14(1), 21–38. https://doi.org/10.4301/S1807- 17752017000100002
[16] Moore, G., & Benbasat, I. (1991). Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation. Information Systems Research. https://doi.org/10.1287/isre.2.3.192.
[17] Mosweu, O., & Bwalya, K. J. (2018). A multivariate analysis of the determinants for adoption and use of the Document Workflow Management System in Botswana ’ s public sector, 84(2), 27–38. https://doi.org/10.7553/84-2-1767
[18] Nanos, I., Manthou, V., & Androutsou, E. (2019). Cloud Computing Adoption Decision in E-government. Operational Research in the Digital Era–ICT Challenges, 125–145.
[19] Rogers, E. (1995). Diffusion of Innovations.
[20] Tarhini, A., El-Masri, M., Ali, M., & Serrano, A. (2016). Extending the UTAUT model to understand the customers’ acceptance and use of internet banking in Lebanon. Information Technology & People, 29(4), 830–849. https://doi.org/10.1108/ITP-02- 2014-0034
[21] Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research. https://doi.org/10.1287/isre.6. 2.144
[22] Thompson, R., Higgins, C., & Howell, J. (1991). Personal computing: toward a conceptual model of utilisation. MIS Quarterly, 1991. Retrieved from http://www.jstor. org/stable/249443
[23] Vallerand, R. J. (2000). Deci and Ryan’s Self-Determination Theory: A View from the Hierarchical Model of Intrinsic and Extrinsic Motivation. Retrieved from http: //www.er.uqam.ca/nobel/r26710/LRCS/publicat_en.htm#
[24] Venkatesh, 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. https: //doi.org/10.2307/30036540
[25] Venkatesh, 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. https://doi.org/10.1111/j.1540-4560.1981. tb02627.x
[26] Venkatesh, V., & Davis, F. D. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies, 46(2), 186–204.
[27] Wang, Y. S. & Liao, Y. W. (2008). Assessing eGovernment systems success: A validation of the DeLone and McLean model of information systems success. Government Information Quarterly, 25(4), 717–733. https://doi.org/10.1016/j.giq. 2007.06.002
[28] World Bank. (2015). e-Government. Retrieved from www.worldbank.org/en/topic/ict/ brief/e-government
[29] Xing, Z. (2018). The impacts of Information and Communications Technology (ICT) and E-commerce on bilateral trade flows. International Economics and Economic Policy, 15(3), 565–586.
[30] Yadav, K., & Tiwari, S. (2014). E-Governance in India: Opportunities and Challenges, 4(6), 675–680.