What determines success of an e-government service? Validation of an integrative model of e-filing continuance usage

Government Information Quarterly

Volumn 35, Issue 2, 2018, Pages 161-174

  Veeramootoo, Narvadha ^a   Nunkoo, Robin ^b,c,d   Dwivedi, Yogesh K ^e  

^a Open University Mauritius   (Mauritius)

^b UNIVERSITY OF MAURITIUS   (Mauritius)

^c UNIVERSITY OF JOHANNESBURG   (South Africa)

^d GRIFFITH UNIVERSITY   (Australia)

^e SWANSEA UNIVERSITY   (United Kingdom)

Author keywords

Continuance usage; E filing; E government; Expectation confirmation theory; IS success model

Indexed keywords

EID: 85044319467     PISSN: 0740624X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.giq.2018.03.004     Document Type: Article

References (115)

1. Aarts, H., Paulussen, T., Schaalma, H., Physical exercise habit: On the conceptualization formation of habitual health behaviours. Health Education Research 12:3 (1997), 363–374.
2. Abou-Shouk, M.A., Khalifa, G.S., The influence of website quality dimensions on e-purchasing behaviour and e-loyalty: A comparative study of Egyptian travel agents and hotels. Journal of Travel & Tourism Marketing 34:5 (2017), 608–623.
3. Ahmad, A., Rahman, O., Khan, M.N., Exploring the role of website quality and hedonism in the formation of e-satisfaction and e-loyalty: Evidence from internet users in India. Journal of Research in Interactive Marketing 11:3 (2017), 246–267.
4. Alcaide- Muñoz, Rodríguez–Bolívar, M.P., Cobo, M.J., Herrera–Viedma, E., Analysing the scientific evolution of e-government using a science mapping approach. Government Information Quarterly, 2017, 10.1016/j.giq.2017.05.002.
5. Alzahrani, A.I., Mahmud, I., Ramayah, T., Alfarraj, O., Alalwan, N., Modelling digital library success using the DeLone and McLean information system success model. Journal of Librarianship and Information Science, 2017, 10.1177/0961000617726123.
6. Alzahrani, L., Al-karaghouli, W., Weerakkody, V., Analysing the critical factors influencing trust in e-government adoption from citizens’ perspective: A systematic review and a conceptual framework. International Business Review 26:1 (2017), 164–175.
7. Al-Samarraie, H, Teng, B.K., Alzahrani, A.I., Alalwan, N., E-learning continuance satisfaction in higher education: A unified perspective from instructors and students. Studies in Higher Education, 2017, 1–17.
8. Ambali, A.R., E-government policy: Ground issues in e-filing system. European Journal of Social Sciences, 11(2), 2009.
9. Anderson, J.C., Gerbing, D.W., Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin 103:3 (1988), 411–423.
10. Apostolou, B., Bélanger, F., Schaupp, L.C., Online communities: Satisfaction and continued use intention. Information Research, 22(4), 2017.
11. Ayanso, A., Herath, T.C., O'Brien, N., Understanding continuance intentions of physicians with electronic medical records (EMR): An expectancy-confirmation perspective. Decision Support Systems 77 (2015), 112–122.
12. Azmi, A.A.C., Kamarulzaman, Y., Adoption of tax-filing: A conceptual paper. African Journal of Business Management 4:5 (2010), 599–603.
13. Azmi, A.C., Aziz, N.F., Trust, justice and the continued use of e-filing. Electronic Government, an International Journal 11:3 (2015), 207–222.
14. Bae, M., Understanding the effect of the discrepancy between sought and obtained gratification on social networking site users’ satisfaction and continuance intention. Computers in Human Behavior 79 (2018), 137–153.
15. Bagozzi, R.P., Phillips, L.W., Representing and testing organizational theories: A holistic construal. Administrative Science Quarterly 27:3 (1982), 459–489.
16. Bagozzi, R.P., Yi, Y., On the evaluation of structural equation models. Journal of the Academy of Marketing Science 16:1 (1988), 74–94.
17. Bharati, P., Berg, D., Managing information technology for service quality: A study from the other side. Management science and information systems faculty publication series. Paper 9, 2003.
18. Bhattacherjee, A., Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly 25:3 (2001), 351–370.
19. Bhattacherjee, A., Barfar, A., Information technology continuance research: Current state and future directions. Asia Pacific Journal of Information Systems, 21(2), 2011.
20. Bhattacherjee, A., Perlos, J., Sanford, C., Information technology continuance: A theoretical extension and empirical test. The Journal of Computer Information Systems 49:1 (2008), 17–26.
21. Bhuasiri, W., Zob, H., Leec, H., Ciganek, A.P., User acceptance of e-government services: Examining an e-tax filing and payment system in Thailand. Information Technology for Development 22:4 (2016), 672–695.
22. Carter, L., Schaupp, L., Evans, A., Antecedents to e-file adoption: The U.S perspective. Proceedings of the 41st international conference on system sciences, 2008, 2008.
23. Carter, L., Schaupp, L.C., Hobbs, J., Campbell, R., The role of security and trust in the adoption of online tax filing. Transforming Government: People, Process and Policy 5:4 (2011), 303–318.
24. Carter, L., Weerakkody, V., Phillips, B., Dwivedi, Y.K., Citizen adoption of e-government services: Exploring citizen perceptions of online services in the United States and United Kingdom. Information Systems Management 33:2 (2016), 124–140.
25. Cenfetelli, R.T., Banbasat, I., Al-Natour, S., Addressing the what and how of online service: Positioning supporting-services functionality and service quality for business-to-consumer success. Information Systems Research 19:2 (2008), 161–181.
26. Chang, C.S., Chen, S.Y., Lan, Y.T., Motivation medical information system performance by system quality, service quality, and job satisfaction for evidence-based practice. BMC Medical Informatics and Decision Making, 12(135), 2012.
27. Chen, C.W., Impact of quality antecedents on taxpayer satisfaction with online tax-filing systems – An empirical study. Information Management 47:5/6 (2010), 308–315.
28. Chen, Y.Y., Huang, H.L., Hsu, Y.C., Tseng, H.C., Lee, Y.C., Confirmation of expectations and satisfaction with the internet shopping: The role of internet self-efficacy. Computer and Information Science 3:3 (2010), 14–22.
29. Chiu, C.M., Chiu, C.S., Chang, H.C., Examining the integrated influence of fairness and quality on learners’ satisfaction and Web-based learning continuance intention. Information Systems Journal 17:3 (2007), 271–287.
30. Chiu, C.M., Hsu, M.H., Lai, H., Chang, C.M., Exploring online repeat purchase intentions: The role of habit. 2010, PACIS, 63.
31. DeLone, W.H., McLean, E.R., The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems 19:4 (2003), 9–30.
32. DeLone, W.H., McLean, E.R., Information systems success: The quest for the dependent variable. Information Systems Research 3:1 (1992), 60–95.
33. Dwivedi, Y.K., Choudrie, J., Brinkman, W.P., Development of a survey instrument to examine consumer adoption of broadband. Industrial Management & Data 106:5 (2006), 700–718.
34. Dwivedi, Y.K., Papazafeiropoulou, A., Brinkman, W.-P., Lal, B., Examining the influence of service quality and secondary influence on the behavioral intention to change internet service provider. Information Systems Frontiers 12 (2010), 207–217.
35. Dwivedi, Y.K., Rana, N.P., Janssen, M., Lal, B., Williams, M.D., Clement, M., An empirical validation of a unified model of electronic government adoption (UMEGA). Government Information Quarterly 34:2 (2017), 211–230.
36. Dwivedi, Y.K., Rana, N.P., Jeyaraj, A., Clement, M., Williams, M.D., Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a revised theoretical model. Information Systems Frontiers, 2017, 10.1007/s10796-017-9774-y.
37. Dwivedi, Y.K., Williams, M.D., Venkatesh, V., Guest editorial: A profile of adoption of information and communication technologies (ICT) research in the household context. Information Systems Frontiers 10:4 (2008), 385–390.
38. Eckman, S., de Leeuw, E., Editorial–special issue on Total Survey Error (TSE). Journal of Official Statistics, 33(2), 2017, 301.
39. Floropoulos, J., Spathis, C., Halvatzis, D., Tsipouridou, M., Measuring the success of the Greek taxation information system. International Journal of Information Management 30:1 (2010), 47–56.
40. Fornell, C., Larcker, D.F., Evaluating structural equation models with unobserved variables and measurement error. Journal of Marketing Research 18:1 (1981), 39–50.
41. Fu, J.R., Farn, C.-K., Chao, W.P., Acceptance of electronic tax filing: A study of taxpayer intentions. Information Management 43 (2006), 109–126.
42. Gao, X., Lee, J., E-government services and social media adoption: Experience of small local governments in Nebraska State. Government Information Quarterly 34:4 (2017), 627–634.
43. Gorla, N., Somers, T.M., Wong, B., Organizational impact of system quality, information quality, and service quality. Journal of Strategic Information Systems 19:3 (2010), 207–228.
44. Hair, J., Black, W., Babin, B., Anderson, R., Multivariate data analysis. 7th ed., 2010, Prentice Hall, Upper Saddle River HJ.
45. Hossain, M.A., Quaddus, M., Expectation–confirmation theory in information system research: A review and analysis. Dwivedi, Y.K., Wade, M.R., Schneberger, S.L., (eds.) Information systems theory: Explaining and predicting our digital society, Vol. 1, Integrated series in information systems, 28, 2012, Springer New York, New York, NY, 441–469, 10.1007/978-1-4419-6108-2.
46. Houston, L., Grandey, A.A., Sawyer, K., Who cares if “service with a smile” is authentic? An expectancy-based model of customer race and differential service reactions. Organizational Behavior and Human Decision Processes 144 (2018), 85–96.
47. Hsu, C.L., Lin, J.C.C., What drives purchase intention for paid mobile apps?–an expectation confirmation model with perceived value. Electronic Commerce Research and Applications 14:1 (2015), 46–57.
48. Hsu, M.H., Chiu, C.M., Predicting electronic service continuance with a decomposed theory of planned behaviour. Behaviour & Information Technology 23:5 (2004), 359–373.
49. Hsu, M.H., Chiu, C.M., Ju, T.L., Determinants of continued use of the WWW: An integration of two theoretical models. Industrial Management & Data Systems 104:9 (2004), 766–775.
50. Janssen, M., Rana, N., Slade, E., Dwivedi, Y.K., Trustworthiness of digital government services: Deriving a comprehensive theory through interpretive structural modelling. Public Management Review., 2017, 10.1080/14719037.2017.1305689.
51. Jia, Q., Guo, Y., Barnes, S.J., Enterprise 2.0 post-adoption: Extending the information system continuance model based on the technology-organization-environment framework. Computers in Human Behavior 67 (2017), 95–105.
52. Joo, Y.J., Park, S., Shin, E.K., Students’ expectation, satisfaction, and continuance intention to use digital textbooks. Computers in Human Behavior 69 (2017), 83–90 (in press).
53. Joo, Y.J., So, H.J., Kim, N.H., Examination of relationships among students’ self-determination, technology acceptance, satisfaction, and continuance intention to use K-MOOCs. Computers & Education, 2018.
54. Kasiri, L.A., Cheng, K.T.G., Sambasivan, M., Sidin, S.M., Integration of standardization and customization: Impact on service quality, customer satisfaction, and loyalty. Journal of Retailing and Consumer Services 35 (2017), 91–97.
55. Khoo, S., Ha, H., McGregor, S.L., Service quality and student/customer satisfaction in the private tertiary education sector in Singapore. International Journal of Educational Management 31:4 (2017), 430–444.
56. Kim, J., Hong, S., Min, J., Lee, H., Antecedents of application service continuance: A synthesis of satisfaction and trust. Expert Systems with Applications 38 (2011), 9530–9542.
57. Laumer, S., Maier, C., Weitzel, T., Information quality, user satisfaction, and the manifestation of workarounds: A qualitative and quantitative study of enterprise content management system users. European Journal of Information Systems, 2017, 1–28.
58. Lee, S., Kim, B.G., The impact of qualities of social network service on the continuance usage intention. Management Decision 55:4 (2017), 701–729.
59. Li, G., Shi, X., An empirical study on consumers’ continuance intention model of online group-buying. International Journal of Engineering and Manufacturing(5), 2012, 83–95.
60. Lien, C.H., Cao, Y., Zhou, X., Service quality, satisfaction, stickiness, and usage intentions: An exploratory evaluation in the context of WeChat services. Computers in Human Behavior 68 (2017), 403–410.
61. Lim, E.T.K., Tan, C.-W., Cyr, D., Pan, S.L., Xiao, B., Advancing public trust relationships in electronic government: The Singapore e-filing journey. Information Systems Research 23:4 (2012), 1110–1130.
62. Limayem, M., Cheung, C., Chan, G., Explaining information systems adoption and post-adoption: Toward an integrative model. International conference on information systems (ICIS) 2003 proceedings, 2003, AIS Electronic Library.
63. Limayem, M., Hirt, S.G., Cheung, C.M.K., How habit limits the predictive power of intention: The case of information system continuance. MIS Quarterly 31:4 (2007), 705–737.
64. Lin, J.C.C., Lu, H., Towards an understanding of the behavioural intention to use a web site. International Journal of Information Management 20 (2000), 197–208.
65. Lindgren, I., Jansson, G., Electronic services in the public sector: A conceptual framework. Government Information Quarterly 30:2 (2013), 163–172.
66. Mahadeo, J.D., Towards an understanding of the factors influencing the acceptance and diffusion of e-government services. Electronic Journal of e-Government 7:4 (2009), 391–402.
67. Mason, R.O., Measuring information output: A communication systems approach. Information Management 1:4 (1978), 219–234.
68. McKinney, V., Yoon, K., Zahedi, F.M., The measurement of we-customer satisfaction: An expectation and disconfirmation approach. Information Systems Research 13:3 (2002), 296–315.
69. McKnight, D.H., Choudhury, V., Kacmar, C., Developing and validating trust measures for e-commerce: An integrative approach. Information Systems Research 13:3 (2002), 334–359.
70. Munoz-Leiva, F., Climent-Climent, S., Liebana-Cabanillas, F., Determinants of intention to use the mobile banking apps: An extension of the classic TAM model. Spanish Journal of Marketing – ESIC 21:1 (2017), 25–38.
71. Nabavi, A., Taghavi-Fard, M.T., Hanafizadeh, P., Taghva, M.R., Information technology continuance intention: A systematic literature review. International Journal of e-Business Research 12:1 (2016), 58–95.
72. Nunkoo, R., Ramkissoon, H., Gursoy, D., Use of structural equation modeling in tourism research: Past, present, and future. Journal of Travel Research 52 (2013), 759–771.
73. Nunkoo, R., Teeroovengadum, V., Thomas, P., Leonard, L., Integrating service quality as a second-order factor in a customer satisfaction and loyalty model. International Journal of Contemporary Hospitality Management 29:12 (2017), 2978–3005.
74. OECD, Technologies for Better tax Administration: A practical guide for revenue bodies. 2016, OECD Publishing, Paris.
75. Oghuma, A.P., Libaque-Saenz, C.F., Wong, S.F., Chang, Y., An expectation-confirmation model of continuance intention to use mobile instant messaging. Telematics and Informatics 33 (2016), 34–47.
76. Orbell, S., Blair, C., Sherlock, K., Conner, M., The theory of planned behavior and ecstasy use: Roles for habit and perceived control over taking versus obtaining substances. Journal of Applied Social Psychology 31:1 (2001), 31–47.
77. Ortiz de Guinea, A., Markus, M.L., Why break the habit of a lifetime? Rethinking the roles of intention, habit, and emotion in continuing information technology use. MIS Quarterly 33:3 (2009), 433–444.
78. Parasuraman, A., Zeithaml, V.A., Berry, L.L., A conceptual model of service quality and its implications for future research. The Journal of Marketing, 1985, 41–50.
79. Pee, L.G., Jiang, J.J., Klein, G., E-store loyalty: Longitudinal comparison of website usefulness and satisfaction. International Journal of Market Research, 2018, 10.1177/1470785317752045.
80. Petter, S., McLean, E.R., A meta-analytic assessment of the DeLone and McLean IS success model: An examination of IS success at the individual level. Information Management 46:3 (2009), 159–166.
81. Podsakoff, P.M., MacKenzie, S.B., Lee, J.Y., Podsakoff, N.P., Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 2003, 879.
82. Ramayah, T., Ahmad, N.H., Hong, T.S., An assessment of e-training effectiveness in multinational companies in Malaysia. Educational Technology & Society 15:2 (2012), 125–137.
83. Ramessur, S.T., Are Mauritians ready for e-government services?. Government Information Quarterly 26:3 (2009), 536–539.
84. Rana, N.P., Dwivedi, Y.K., Citizen's adoption of an e-government system: Validating extended social cognitive theory (SCT). Government Information Quarterly 32:2 (2015), 172–181.
85. Rana, N.P., Dwivedi, Y.K., Williams, M.D., Weerakkody, V., Investing success of an e-government initiative: Validation of an integrated IS Success model. Information Systems Frontiers 17:1 (2014), 127–142.
86. Roca, J.C., Chiu, C.M., Martinez, F.J., Understanding e-learning continuance intention: An extension of the Technology Acceptance Model. International Journal of Human Computer Studies 64:8 (2006), 683–696.
87. Rust, R.T., Oliver, R.W., The death of advertising. Journal of Advertising 23:4 (1994), 71–77.
88. Santhanamery, T., Ramayah, T., Explaining the e-Government usage using Expectation Confirmation Model: The case of electronic tax filing in Malaysia. Anthpoulos, L.G., Reddick, C.G., (eds.) Government strategic planning and management, Vol. 3, 2014, Public Administration and Information Technology.
89. Santhanamery, T., Ramayah, T., The effect of trust in the system and perceived risk in influencing continuance usage intention of an e-government system. Journal of Applied Environmental and Environmental and Biological Sciences 6:3 (2016), 7–18.
90. Santhanamery, T., Ramayah, T., Explaining and predicting users’ continuance usage intention toward e-filing utilizing technology continuance theory. Encyclopedia of information science and technology, 4th edition, 2018, IGI Global, 831–846.
91. Schaupp, L.C., Carter, L., The impact of trust, risk and optimism bias on e-file adoption. Information Systems Frontiers 12:3 (2010), 299–309.
92. Seddon, P.B., A respecification and extension of the Delone and McLean models of IS success. Information Systems Research 8:3 (1997), 240–253.
93. Shareef, M.A., Kumar, U., Kumar, V., Dwivedi, Y.K., Identifying critical factors for adoption of e-government. Electronic Government, an International Journal 6:1 (2009), 70–96.
94. Shareef, M.A., Kumar, V., Kumar, U., Dwivedi, Y.K., E-government adoption model (GAM): Differing service maturity levels. Government Information Quarterly 28:1 (2011), 17–35.
95. Sun, Y., Liu, L., Peng, X., Dong, Y., Barnes, S.J., Understanding Chinese users’ continuance intention toward online social networks: An integrative theoretical model. Electronic Markets 24:1 (2014), 57–66.
96. Tam, C., Oliveira, T., Understanding mobile banking individual performance: The DeLone & McLean model and the moderating effects of individual culture. Internet Research 27:3 (2017), 538–562.
97. Tan, C.W., Benbasat, I., Cenfetelli, R., IT-mediated customer service content and delivery in electronic governments: An empirical investigation of the antecedents of service quality. MIS Quarterly 37:1 (2013), 77–109.
98. Teo, T.S.H., Srivastava, S., Jiang, L., Trust and electronic government success: An empirical study. Journal of Management Information Systems 25:3 (2008), 99–131.
99. Thong, J.Y.L., Hong, S.-J., Tam, K.Y., The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance. International Journal of Human-Computer Studies 64 (2006), 799–810.
100. Thorngate, W., Must we always think before we act?. Personality and Social Psychology Bulletin 2:1 (1976), 31–35.
101. Toufaily, E., Pons, F., Impact of customers’ assessment of website attributes on e-relationship in the securities brokerage industry: A multichannel perspective. Journal of Retailing and Consumer Services 34 (2017), 58–69.
102. Venkatesh, V., Thong, J.Y.L., Chan, F.K.Y., Hu, P.J.-H., Brown, S.A., Extending the two-stage information systems continuance model: Incorporating UTAUT predictors and the role of context. Information Systems Journal 21:6 (2011), 527–555.
103. Venkatesh, V., Thong, J.Y.L., Xu, X., Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly 36:1 (2012), 157–178.
104. Wang, Y.S., The adoption of electronic filing systems: An empirical study. Government Information Quarterly 20 (2002), 333–352.
105. Wang, Y.S., Liao, Y.W., Assessing eGovernment systems success: A validation of the DeLone and McLean model of information systems success. Government Information Quarterly 25 (2008), 717–733.
106. Wangpipatwong, S., Chutimaskul, W., Papasratorn, B., Quality enhancing the continued used of e-government web sites: Evidence from e-citizens of Thailand. International Journal of Electronic Government Research 5:1 (2009), 19–35.
107. Wei, K.M., Tang, Y.T., Kao, Y.C., Tseng, L.C., Wu, H.H., Using an updated Delone and McLean model to assess the success of implementing the ward cleaning logistics system in a medical center. Journal of Statistics and Management Systems 20:5 (2017), 965–976.
108. Weng, G.S., Zailani, S., Iranmesh, M., Hyun, S.S., Mobile taxi booking application service's continuance usage intention by users. Transportation Research Part D: Transport and Environment 57 (2017), 207–216.
109. West, S.G., Finch, J.F., Curran, P.J., Structural equation models with nonnormal variables: Problems and remedies. Hoyle, R.H., (eds.) Structural equation modeling: Concepts, issues, and applications, 1995, Sage Publications, Thousand Oaks, CA, 56–75.
110. Xu, J., Benbasat, I., Cenfetelli, R.T., Integrating service quality with system and information quality: An empirical test in the e-service context. MIS Quarterly 37:3 (2013), 777–794.
111. Yang, M., Shao, Z., Liu, Q., Liu, C., Understanding the quality factors that influence the continuance intention of students toward participation in MOOCs. Educational Technology Research and Development 65:5 (2017), 1195–1214.
112. Zheng, Y., Zhao, K., Stylianou, A., The impacts of information quality and system quality on users’ continuance intention in information-exchange virtual communities: An empirical investigation. Decision Support Systems 56 (2013), 513–524.
113. Zhou, T., An empirical examination of continuance intention of mobile payment service. Decision Support Systems 54 (2013), 1085–1091.
114. Zhou, T., Li, H., Understanding mobile SNS continuance usage in China from the perspectives of social influence and privacy concern. Computers in Human Behavior 37 (2014), 283–289.
115. Zuiderwijk, A., Janssen, M., Dwivedi, Y.K., Acceptance and use predictors of open data technologies: Drawing upon the unified theory of acceptance and use of technology. Government Information Quarterly 32:4 (2015), 429–440.