Citizens’ adoption of an electronic government system: towards a unified view

Aboelmaged, M. G. (2010). Predicting e-procurement adoption in a developing country: an empirical integration of technology acceptance model and theory of planned behaviour. Industrial Management & Data Systems, 110(3), 392–414.

Aggelidis, V. P., & Chatzoglou, P. D. (2009). Using a modified technology acceptance model in hospitals. International Journal of Medical Informatics, 78(2), 115–126.

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211.

Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs: Prentice-Hall.

Akkaya, C., Obermeier, M., Wolf, P., & Krcmar, H. (2011). Components of trust influencing e-Government adoption in Germany. In M. Janssen, H. J. Scholl, M. A. Wimmer and Y-H. Tan (Eds.), EGOV 2011, LNCS 6846 (pp. 88–99).

Akman, I., Yazici, A., Mishra, A., & Arifoglu, A. (2005). E-Government: a global view and an empirical evaluation of some attributes of citizens. Government Information Quarterly, 22(2), 239–257.

Al-Gahtani, S. S., Hubona, G. S., & Wang, J. (2007). Information technology (IT) in Saudi Arabia: Culture and the acceptance and use of IT. Information & Management, 44(8), pp. 681–691.

Al-Sebie, M., & Irani, Z. (2005). Technical and organizational challenges facing transactional e-government systems: an empirical study. Electronic Government, an International Journal, 2(3), 247–276.

Alshare, K. A., & Lane, P. L. (2011). Predicting student-perceived learning outcomes and satisfaction in ERP courses: an empirical investigation. Communications of the Association for Information Systems, 28(1), 572–584.

Anderson, J. C., & Gerbing, D. W. (1982). Some methods for re-specifying measurement models to obtain unidimensional construct measurement. Journal of Marketing Research, 19(4), 453–460.

Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: a review and recommended two-step approach. Psychological Bulletin, 103(3), 411–423.

Avgerou, C. (2002). Information systems and global diversity. Oxford: Oxford University Press.

Barclay, C. (2008). Towards an integrated measurement of IS project performance: the project performance scorecard. Information Systems Frontiers, 10(3), 331–345.

Barclay, D. W., & Smith, J. B. (1997). The effects of organizational differences and trust on the effectiveness of selling partner relationships. Journal of Marketing, 61(1), 3–21.

Beaudry, A., & Pisonneault, A. (2010). The other side of acceptance: studying the direct and indirect effects of emotions on information technology use. MIS Quarterly, 34(4), 689–710.

Bevir, M., & Rhodes, W. R. (2004). Interpreting British governance. British Journal of Politics and International Relations, 6, 129–164.

Bobbitt, L. M., & Dabholkar, P. A. (2001). Integrating attitudinal theories to understand and predict use of technology-based self-service: the internet as an illustration. International Journal of Service Industry Management, 12(5), 423–450.

Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 136–162). Newbury Park: Sage.

Bwalya, K. J., & Healy, M. (2010). Harnessing e-government adoption in the SADC region: a conceptual underpinning. Electronic Journal of E-Government, 8(1), 23–32.

Carter, L., Schaupp, L. C., Hobbs, J., & Campbell, R. (2012). E-Government utilization: understanding the impact of reputation and risk. International Journal of Electronic Government Research, 8(1), 83–97.

Chen, M. F., & Lu, M. T. Y. (2011). Modeling e-coupon proneness as a mediator in the extended TPB model to predict consumers’ usage intentions. Internet Research, 21(5), 508–526.

Chin, W. W., & Todd, P. A. (1995). On the use, usefulness, and ease of use of structural equation modeling in MIS research: a note of caution. MIS Quarterly, 19(2), 237–246.

Chiu, Y. T. H., Fang, S. C., & Tseng, C. C. (2010). Early versus potential adopters: exploring the antecedents of use intention in the context of retail service innovations. International Journal of Retail & Distribution Management, 38(6), 443–459.

Chiu, Y. T. H., Lee, W. I., Liu, C. C., & Liu, L. Y. (2012). Internet lottery commerce: an integrated view of online sport lottery adoption. Journal of Internet Commerce, 11(1), 68–80.

Compeau, D. R., & Higgins, C. A. (1995a). Application of social cognitive theory to training for computer skills. Information Systems Research, 6(2), 118–143.

Compeau, D. R., & Higgins, C. A. (1995b). Computer self-efficacy: development of a measure and initial test. MIS Quarterly, 19(2), 189–211.

Compeau, D., Higgins, C. A., & Huff, S. (1999). Social cognitive theory and individual reactions to computing technology: A longitudinal study. MIS Quarterly, pp. 145–158.

Cox, J. (2012). Information systems user security: a structured model of the knowing–doing gap. Computers in Human Behavior, 28, 1849–1858.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–339.

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35(8), 982–1002.

DeLone, W. H., & McLean, E. R. (1992). Information systems success: the quest for the dependent variable. Information Systems Research, 3(1), 60–95.

DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: a ten-year update. Journal of Management Information Systems, 19(4), 9–30.

Dwivedi, Y. K., Weerakkody, V., & Janssen, M. (2012). Moving towards maturity: challenges to successful e-government implementation and diffusion. The DATA BASE for Advances in Information Systems, 42(4), 11–22.

Dwivedi, Y. K., Shareef, M. A., Simintiras, A. C., Lal, B., & Weerakkody, V. (2015a). A generalised adoption model for services: a cross-country comparison of mobile health (m-health). Government Information Quarterly. doi: 10.1016/j.giq.2015.06.003 .

Dwivedi, Y. K., Wastell, D., Laumer, S., Henriksen, H. Z., Myers, M. D., Bunker, D., Elbanna, A., Ravishankar, M. N., & Srivastava, S. C. (2015b). Research on information systems failures and successes: status update and future directions. Information Systems Frontiers, 17, 143–157.

Eckhardt, A., Laumer, S., & Weitzel, T. (2009). Who influences whom? Analyzing workplace referents’ social influence on IT adoption and non-adoption. Journal of Information Technology, 24(1), 11–24.

Egea, J. M. O., & González, M. V. R. (2011). Explaining physicians’ acceptance of EHCR systems: an extension of TAM with trust and risk factors. Computers in Human Behavior, 27(1), 319–332.

Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Reading: Addison-Wesley.

Foon, Y. S., & Fah, B. C. Y. (2011). Internet banking adoption in Kuala Lumpur: an application of UTAUT model. International Journal of Business and Management, 6(4), 161–167.

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.

Gao, T., & Deng, Y. (2012). A study on users' acceptance behavior to mobile e-books application based on UTAUT model. IEEE International Conference on Computer Science and Automation Engineering, 376–379.

Gauld, R., Goldfinch, S., & Horsburgh, S. (2010). Do they want it? Do they use it? The ‘demand-side’ of e-government in Australia and New Zealand. Government Information Quarterly, 27(2), 177–186.

Gefen, D. (2000). E-commerce: the role of familiarity and trust. Omega: The International Journal of Management Science, 28(6), 725–737.

Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1992). Multivariate data analysis with readings (3rd ed.). New York: Macmillan Publishing Company.

Hossain, M. A., & Quaddus, M. (2015). Radio frequency identification (RFID) adoption: a cross-sectional comparison of voluntary and mandatory contexts. Information Systems Frontiers, 17(5), 1057–1076.

Howard, G. S., & Smith, R. D. (1986). Computer anxiety in management: myth or reality? Communications of the ACM, 29(7), 611–615.

Hoyle, R. H. (1995). The structural equation modeling approach: Basic concepts and fundamental issues. Thousand Oaks: Sage Publications.

Hung, S. Y., Chang, C. M., & Yu, T. (2006). Determinants of user acceptance of the e-government services: the case of online tax filing and payment system. Government Information Quarterly, 23(1), 97–122.

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.

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.

Igbaria, M., & Chakrabarti, A. (1990). Computer anxiety and attitudes towards microcomputer use. Behaviour & Information Technology, 9(3), 229–241.

Igbaria, M., & Parasuraman, S. (1989). A path analytic study of individual characteristics, computer anxiety and attitudes toward microcomputers. Journal of Management, 15(3), 373–388.

Jangra, S. (2011). India’s e-governance: Present scenario and future planning. India’s e-governance: present scenario and future planning. International Journal of Physical and Social Sciences, 1(2), 154–166.

Kapoor, K. K., Dwivedi, Y. K., & Williams, M. D. (2015). Examining the role of three sets of innovation attributes for determining adoption of the interbank mobile payment service. Information Systems Frontiers, 17(5), 1039–1056.

Kim, Y. J., Chun, J. U., & Song, J. (2009). Investigating the role of attitude in technology acceptance from an attitude strength perspective. International Journal of Information Management, 29(1), 67–77.

Kim, T. T., Suh, Y. K., Lee, G., & Choi, B. G. (2010). Modelling roles of task-technology fit and self-efficacy in hotel employees’ usage behaviours of hotel information systems. International Journal of Tourism Research, 12(6), 709–725.

Koh, C. E., Prybutok, V. R., Ryan, S. D., & Wu, Y. A. (2010). A model for mandatory use of software technologies: an integrative approach by applying multiple levels of abstraction of informing science. Informing Science: the International Journal of an Emerging Transdiscipline, 13, 177–203.

Lee, V., & Lin, S. J. (2008). Podcasting acceptance on campus: an extension of the utaut model. DIGIT 2008 Proceedings, 1–15.

Lee, J., & Rao, H. R. (2009). Task complexity and different decision criteria for online service acceptance: a comparison of two e-government compliance service domains. Decision Support Systems, 47(4), 424–435.

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.

Leonard-Barton, D., & Deschamps, I. (1988). Managerial influence in the implementation of new technology. Management Science, 34(10), 1252–1265.

Lin, F., Fofanah, S. S., & Liang, D. (2011). Assessing citizen adoption of e-Government initiatives in Gambia: a validation of the technology acceptance model in information systems success. Government Information Quarterly, 28(2), 271–279.

Lu, C.-T., Huang, S.-Y., & Lo, P.-Y. (2010). An empirical study of on-line tax filing acceptance model: integrating TAM and TPB. African Journal of Business Management, 4(5), 800–810.

Martin, H.S, & Herrero, Á. (2012). Influence of the user’s psychological factors on the online purchase intention in rural tourism: Integrating innovativeness to the UTAUT framework. Tourism Management, 33(2), pp. 341–350.

Mathieson, K. (1991). Predicting user intentions: comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2(3), 173–191.

Monga, A. (2008). e-Government in India: opportunities and challenges. Journal of Administration and Governance, 3(2), 52–61.

Moon, M. J. (2002). The evolution of E-Government among municipalities: rhetoric or reality? Public Administration Review, 66(4), 424–433.

Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192–222.

Morgeson, F. V., III, Van Amburg, D., & Mithas, S. (2010). Misplaced trust? Exploring the structure of the E-Government-Citizen trust relationship. Journal of Public Administration Research and Theory, 21(2), 257–283.

Morrow, P. C., Preix, E. R., & McElroy, J. C. (1986). Attitudinal and behavioral correlates of computer anxiety. Psychological Reports, 59(3), 1199–1204.

Mujtava, S., & Pandey, P. K. (2012). The E-Governance architecture of global ICT program. International Journal of Computer Science and Telecommunications, 3(5), 136–140.

Netemeyer, R. G., Johnston, M. W., & Burton, S. (1990). Analysis of role conflict and role ambiguity in a structural equations framework. Journal of Applied Psychology, 75(2), 148–157.

Norris, D. F., & Moon, M. J. (2005). Advancing E-Government at the grassroots: tortoise or hare? Public Administration Review, 65(1), 64–75.

Nunnaly, J. (1978). Psychometric theory. New York: McGraw-Hill.

Or, C. K., Karsh, B. T., Severtson, D. J., Burke, L. J., Brown, R. L., & Brennan, P. F. (2010). Factors affecting home care patients’ acceptance of a web-based interactive self-management technology. Journal of the American Medical Informatics Association, 18(5), 51–59.

Parasuraman, S., & Igbaria, M. (1990). An examination of gender differences in the determinants of computer anxiety and attitudes toward microcomputers among managers. International Journal of Man-Machine Studies, 32(3), 327–340.

Park, J., Yang, S., & Lehto, X. (2007). Adoption of mobile technologies for Chinese consumers. Journal of Electronic Commerce Research, 8(3), 196–206.

Pavlou, P. A., & Fygenson, M. (2006). Understanding and predicting electronic commerce adoption: an extension of the theory of planned behavior. MIS Quarterly, 30(1), 115–143.

Plouffe, C., Hulland, J., & Vandenbosch, M. (2001). Research report: richness versus parsimony in modeling technology adoption decisions – understanding merchant adoption of a smart card-based payment system. Information Systems Research, 12(2), 208–222.

Pynoo, B., Devolder, P., Voet, T., Vercruysse, J., Adang, L., & Duyck, P. (2007). Attitude as a measure for acceptance: monitoring IS implementation in a hospital setting. SIGHCI 2007 Proceedings, 20–24.

Pynoo, B., Devolder, P., Tondeur, J., Van Braak, J., Duyck, W., & Duyck, P. (2011). Predicting secondary school teachers’ acceptance and use of a digital learning environment: a cross-sectional study. Computers in Human Behavior, 27(1), 568–575.

Rana, N. P., Dwivedi, Y. K., Williams, M. D., & Weerakkody, V. (2015a). Investigating success of an E-Government initiative: validation of an integrated IS success model. Information Systems Frontiers, 17(1), 127–142.

Rana, N. P., Dwivedi, Y. K., & Williams, M. D. (2015b). A meta-analysis application for synthesizing findings of existing research on citizen adoption of E-Government. Information Systems Frontiers, 17(3), 547–563.

Rogers, E. M. (1995). Diffusion of innovations (4th ed.). New York: Free Press.

Schaper, L. K., & Pervan, G. P. (2007). ICT and OTs: a model of information and communication technology acceptance and utilisation by occupational therapists. International Journal of Medical Informatics, 76S, S212–S221.

Schaupp, L. C., Carter, L., & McBride, M. E. (2010). E-file adoption: a study of U.S. taxpayers’ intentions. Computers in Human Behavior, 26(4), 636–644.

Seddon, P. B. (1997). A re-specification and extension of the DeLone and McLean model of IS success. Information Systems Research, 8(3), 240–253.

Seethamraju, R. (2015). Adoption of Software as a Service (SaaS) Enterprise Resource Planning (ERP) systems in Small and Medium Sized Enterprises (SMEs). Information Systems Frontiers, 17(3), 475–492.

Segars, A. H., & Grover, V. (1993). Re-examining perceived ease of use and usefulness: a confirmatory factor analysis. MIS Quarterly, 17(4), 517–525.

Shareef, M. A., Kumar, V., Dwivedi, Y. K., & Kumar, U. (2014). Service delivery through mobile-government (mGov): Driving factors and cultural impacts. Information Systems Frontiers, 1–18, doi: 10.1007/s10796-014-9533-2 .

Simonson, M. R., Maurer, M., Montag-Torardi, M., & Whitaker, M. (1987). Development of a standardized test of computer literacy and a computer anxiety index. Journal of Educational Computing Research, 3(2), 231–247.

Steiger, J. H., & Lind, J. M. (1980). Statistically based tests for the number of common factors. Paper presented at the annual meeting of the Psychometric Society, Iowa City, IA.

Sumak, B., Polancic, G., & Hericko, M. (2010). An empirical study of virtual learning environment adoption using UTAUT. Second International Conference on Mobile, Hybrid, and On-Line Learning, pp. 17–22.

Swar, B., Moon, J., Oh, J., & Rhee, C. (2012). Determinants of relationship quality for IS/IT outsourcing success in public sector. Information Systems Frontiers, 14(2), 457–475.

Taylor, S., & Todd, P. A. (1995a). Understanding information technology usage: a test of competing models. Information Systems Research, 6(2), 144–176.

Taylor, S., & Todd, P. A. (1995b). Decomposition and crossover effects in the theory of planned behaviour: a study of consumer adoption. International Journal of Research in Marketing, 12(2), 137–155.

Thomas, J. C., & Streib, G. (2003). The new face of government: citizen‐initiated contacts in the era of E‐Government. Journal of Public Administration Research and Theory, 13(1), 83–102.

Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991). Personal computing: toward a conceptual model of utilization. MIS Quarterly, 15(1), 124–143.

Venkatesh, V. (2000). Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11(4), 342–365.

Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science, 45(2), 186–204.

Venkatesh, V., 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.

Venkatesh, V., Chan, F. K., & Thong, J. Y. (2012). Designing e-government services: key service attributes and citizens’ preference structures. Journal of Operations Management, 30(1), 116–133.

Welch, E. W., Hinnant, C. C., & Moon, M. J. (2005). Linking citizen satisfaction with e-government and trust in government. Journal of Public Administration Research and Theory, 15(3), 371–391.

West, D. (2004). E-Government and the transformation of service delivery and citizen attitudes. Public Administration Review, 64(1), 15–27.

Yang, H. D., & Yoo, Y. (2004). It’s all about attitude: revisiting the technology acceptance model. Decision Support Systems, 38(1), 19–31.

Yeow, P. H., & Loo, W. H. (2009). Acceptability of ATM and Transit applications embedded in multipurpose smart identity card: an exploratory study in Malaysia. International Journal of Electronic Government Research, 5(2), 37–56.

Zhang, W., & Gutierrez, O. (2007). Information technology acceptance in the social services sector context: an exploration. Social Work, 52(3), 221–231.

Zikmund, W. G. (1994). Business research methods (4th ed.). New York: The Dryden Press.