Predicting E-government Use in Mauritius: Non-Parametric Procedures

Authors

  • Chintamanee Sanmukhiya Greenwich University Pakistan (Mauritius branch) Author

DOI:

https://doi.org/10.61841/wa30vk24

Keywords:

E-government, UTAUT model, Bonferroni correction, Kruskal-Wallis H tests, Mann-Whitney H tests, Jonckheere-Terpstra tests.

Abstract

This study changes the way in which research has so far been conducted on assessing the extent to which the UTAUT model predicts the use of e-government. It also contributes to the theoretical framework by adding up a trust component to forecast behavioural intention. This study adds other factors to the theoretical model such as frequency of use, sector of occupation, education and urbanisation. Instead of merely summing up Likert-type items, this research identifies those individual factors behind all UTAUT components and Trust dimension that predict the use of the Mauritian government website both in the short and long run under the non-parametric approach. Mann-Whitney U tests, Kruskal-Wallis H tests, Bonferroni correction and Jonckheere-Terpstra testsare used throughout the analysis. Data were randomly collected through questionnaires across 221 citizens who use the government website in Mauritius. Factors such as adequate knowledge, self-confidence, convenience of use, support at work, influential people, opinions of valued people, recommendations by important people to use the e-portal, improved job performance, ability to complete task online, having useful and required information online, ease of finding information, trust in government departments and website, online security and non-disclosure of personal details to third party affect a citizen’s intention to continue to use e-government portal in the future. In addition to these factors, having a computer or laptop, and cheap internet subscription affect short term behavioural intention but not long term behavioural intention. The reverse applies for updated information, easy to understand and use, maintain confidentiality, the enactment of laws against cybercrimes and seen as competent by colleagues. Results are significant at 0.1%, 1% and 5% level. Frequency of use and sector of occupation play key roles in influencing a citizen’s desire to use government websites across all UTAUT and Trust components. Urbanisation however does not affect e-government use at all. This study enables policymakers and government website administrators to tackle those aspects that may favourably mould citizens’ perceptions towards the government website. It will thus enhance e-government practice in Mauritius.



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References

1. Ajzen, I. (1985). From Intentions to Actions: A Theory of Planned Behaviour. In J. Khul & J. Beckmann (Eds.), Action Control: From Cognition to Behavior (pp. 11-39). Berlin Heidelberg New York Tokyo: Springer-Verlag.

2. Ajzen, I., & Fishbein, M. (1980). Understanding Attitudes and Predicting Social Behaviour. Englewood Cliffs, NJ: Prentice-Hall, Inc.

3. Al-Shafi, S., & Weerakkody, V. (2009). Understanding Citizens' Behavioural Intention in the Adoption of E-government Services in the State of Qatar. Paper presented at the 17th European Conference on Information Systems, ECIS 2009: Information System in a Globalising World: Challenges, Ethics and Practices Verona, Italy

4. Al-Shafi, S., & Weerakkody, V. (2010). Factors Affecting E-government Adoption in the State of Qatar. Paper presented at the European and Mediterranean Conference on Information Systems, April 12-13, Abu Dhabi UAE.

5. Alomari, M., Sandhu, K., & Woods, P. (2010). Measuring Social Factors in E-government Adoption in the Hashemite Kingdom of Jordan. International Journal of Digital Society (IJDS), 1(2), 163-172.

6. Alraja, M. N. (2016). The Effect of Social Influence and Facilitating Conditions on E-government Acceptance from the Individual Employee's Perspective. Polish Journal of Management Studies, 14(2), 18-

26. doi: 10.17512/pjms.2016.14.2.02

7. Alshawi, S., & Alalwany, H. (2009). E-Government Evaluation: Citizen’s Perspective in Developing Countries. Information Technology for Development, 15(3), 193–208 doi: 10.1002/itdj.20125

8. Alshehri, M., Drew, S., & AlGhamdi, R. (2012, 17-23 July). Analysis for Citizens' Acceptance for E-government Services: The UTAUT Model. Paper presented at the IADIS Inernational Conference: Theory and Practice in Modern Computing and Internet Applications and Research, Lisbon, Portugal.

9. Alwahaishi, S., & Snášel, V. (2013). Consumers’ Acceptance and Use of Information and Communications Technology: A UTAUT and Flow Based Theoretical Model. Journal of Technology Management and Innovation, 8(2), 61-73.

10. Azira, E. M., S, & Omar, S. Z. B. T. (2013). An Acceptance of 4G (Fourth Generation) Mobile Network in Malaysia. International Journal of Information and Communication Technology Research, 3(8), 232-237.

11. Belanger, F., Hiller, J. S., & Smith, Wanda J. (2002). Trustworthiness in Electronic Commerce: The Role of Privacy, Security, and Site Attributes. Journal of Strategic Information Systems, 11, 245–270.

12. Belanger, F., Hiller, J. S., & Smith, W. J. (2002). Trustworthiness in Electronic Commerce: The Role of Privacy, Security, and Site Attributes. Journal of Strategic Information Systems, 11, 245-270.

13. Carter, L., & Belanger, F. (2005). The utilization of e-government services: citizen trust, innovation and acceptance factors. Information Systems Journal, 15(1), 5-25.

14. Chandra, S., C, S. S., & Yin-Leng, T. (2010). Evaluating the Role of Trust in Consumer Adoption of Mobile Payment Systems: An Empirical Analysis. Communications of the Association for Information Systems, 27(1), 561-588.

15. Chau, N. N., Seshadri, S., Broekemier, G., & Pamornpathomkul, S. (2018). An Exploratory Study of Mobile Shopping Behaviors of Young Adults in Thailand. Journal of Internet Commerce, 17(4), 339-355. doi: 10.1080/15332861.2018.1463802

16. Cheng, Y.-S., Yu, T.-F., Huang, C.-F., Yu, C., & Yu, C.-C. (2011). The Comparison of Three Major Occupations for User Acceptance of Information Technology: Applying the UTAUT Model. iBusiness, 3(2), 147-158. doi: 10.4236/ib.2011.32021

17. Coe, R. (2002). It's the Effect Size, Stupid. What effect size is and why it is important Annual Conference of the British Educational Research Association. University of Exeter, England, 12-14 September 2002: Education-Line.

18. Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (Second ed.). New York: Lawrence Erlbaum Associates.

19. Cohen, J. (1992). Statistical Power Analysis. Current Directions in Psychological Science, 1(3), 98-101.

20. Compeau, D. R., Higgins, C. A., & Huff, S. (1999). Social Cognitive Theory and Individual Reactions to Computing Technology: A Longitudinal Study. MIS Quarterly, 23(2), 145-158. doi: 10.2307/249749

21. CountryMeters. (2018). Mauritius Population. Retrieved 16th November, 2018, from https://countrymeters.info/en/Mauritius

22. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. doi: 10.2307/249008

23. Duane, A., O'Reilly, P., & Andreev, P. (2014). Realising M-Payments: Modelling Consumers' Willingness to M-Pay Using Smart Phones. Bahaviour and Information Technology, 33(4), 318-334. doi: 10.1080/0144929X.2012.745608

24. Dwivedi, Y. K., & Lal, B. (2007). Socio-economic Determinants of Broadband Adoption. Industrial Management & Data Systems, 107(5), 654-671. doi: 10.1108/17506160710778112

25. Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2019). Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model. Information Systems Frontiers, 21(3), 719-734. doi: 10.1007/s10796-017-9774-y

26. El-Masri, M., & Tarhini, A. (2017). Factors Affecting the Adoption of E-learning Systems in Qatar and USA: Extending the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). Educational Technology Research and Development, 65(3), 743–763. doi: 10.1007/s11423-016-9508-8

27. Elsheikh, Y., & Azzeh, M. (2014). What Facilitates the Delivery of Citizen-Centric EGovernment Services in Developing Countries: Model Development and Validation Through Structural Equation Modeling. International Journal of Computer Science & Information Technology (IJCSIT), 6(1), 77-98. doi: 10.5121/ijcsit.2014.6106

28. Evans, D., & Yen, D. C. (2006). E-Government: Evolving Relationship of Citizens and Government, Domestic, and International Development. Government Information Quarterly, 23(2), 207-235. doi: 10.1016/j.giq.2005.11.004

29. Field, A. (2009). Discovering Statistics Using SPSS (and Sex and Drugs and Rock 'n' Roll) (Third ed.). London, California, New Delhi, Singapore: SAGE.

30. 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.

31. Gruzd, A., Staves, K., & Wilk, A. (2012). Connected scholars: Examining the Role of Social Media in Research Practices of Faculty Using the UTAUT Model. Computers in Human Behavior, 28(6), 2340-2350. doi: 10.1016/j.chb.2012.07.004

32. Güliz, N., & Turan, A. H. (2018). E-learning Adoption of Academicians: A Proposal for an Extended Model. Behaviour & Information Technology, 37(4), 393-405 doi: 10.1080/0144929X.2018.1437219

33. Huang, Z. (2007). A Comprehensive Analysis of U.S. Counties' E-government Portals: Development Status and Functionalities. European Journal of Information Systems, 16(2), 149-164. doi: 10.1057/palgrave.ejis.3000675

34. Hwang, C.-S. (2000). A Comparative Study of Tax-Filing Methods: Manual, Internet and Two Dimensional Bar Code. Journal Of Government Information, 27(2), 113-127. doi: 10.1016/S1352-0237(00)00129-5

35. Igbaria, M., Parasuraman, S., & Baroudi, J. J. (1996). A Motivational Model of Microcomputer Usage. Journal of Management Information Systems, 13(1), 127-143.

36. International Telecommunication Union. (2017). Measuring the Information Society Report 2017 Volume

1. Geneva Switzerland.

37. Islam, A. M., Yusuf, H. M., & Bhuiyan, A. B. (2015). Taxpayers' Satisfaction in Using E-filling System in Malaysia: Demographic Perspective. The Social Sciences, 10(2), 160-165.

38. Khan, F. A., & Ahmad, B. (2015). Factors Influencing Electronic Government Adoption: Perspectives of Less Frequent Internet Users of Pakistan International Journal of Scientific and Technology Research, 4(1), 306-315.

39. Lai, C. S. K., & Pires, G. (2010). Testing of a Model Evaluating E-government Portal Acceptance and Satisfaction. The Electronic Journal Information Systems Evaluation, 13(1), 35-46.

40. Lawson, A., Willoughby, L., Lawson-Body, L., & Tamandja, E. M. (2018). Students’ Acceptance of E-books: An Application of UTAUT. Journal of Computer Information Systems, 1-12. doi: 10.1080/08874417.2018.1463577

41. Lee, D.-C., Lin, S.-H., Ma, H.-L., & Wu, D.-B. (2016). Use of a Modified UTAUT Model to Investigate the Perspectives of Internet Access Device Users. International Journal of Human-Computer Interaction, 33(7), 549-564. doi: 10.1080/10447318.2016.1261249

42. Lua, Y., Yanga, S., Chaub, P. Y. K., & Cao, Y. (2011). Dynamics Between the Trust Transfer Process and Intention to Use Mobile Payment Services: A Cross-Environment Perspective. Information & Management, 48(8), 393-403. doi: 10.1016/j.im.2011.09.006

43. Magsamen-Conrada, K., Upadhyaya, S., Joa, C. Y., & Dowd, J. (2015). Bridging the Divide: Using UTAUT to Predict Multigenerational Tablet Adoption Practices. Computers in Human Behavior, 50, 186-196.

44. Nasser, A. S. A., Sajjab, J., & Wathiq, M. (2017). Mobile government (mGovernment) Adoption Factors in the UAE: A Conceptual Framework Based on UTAUT. International Journal of Engineering Technology, Management and Applied Sciences, 5(3), 14-19.

45. Oh, J.-C., & Yoon, S.-J. (2014). Predicting the Use of Online Information Services Based on a Modified UTAUT Model. Behaviour & Information Technology, 33(7), 716-729 doi: 10.1080/0144929X.2013.872187

46. Oliveira, T., Thomas, M., Baptista, G., & Campos, F. (2016). Mobile Payment: Understanding the Determinants of Customer Adoption and Intention to Recommend the Technology. Computers in Human Behavior, 61, 404-414. doi: 10.1016/j.chb.2016.03.030

47. Pina, V., Torres, L., & Royo, S. (2010). Is E-Government Promoting Convergence Towards More Accountable Local Governments? . International Public Management Journal, 13(4), 350-380. doi: 10.1080/10967494.2010.524834

48. Ponte, E. B., Carvajal-Trujillo, E., & Escobar-Rodriguez, T. (2015). Influence of Trust and Perceived Value on the Intention to Purchase Travel Online: Integrating the Effects of Assurance on Trust Antecedents. Tourism Management, 47, 286-302. doi: 10.1016/j.tourman.2014.10.009

49. Reffat, R. M. (2003). Developing A Successful E-Government. Working Paper. Sydney, Australia.

50. Rodrigues, G., Sarabdeen, J., & Balasubramanian, S. (2016). Factors that Influence Consumer Adoption of E-government Services in the UAE: A UTAUT Model Perspective. Journal of Internet Commerce, 15(1), 18-39. doi: 10.1080/15332861.2015.1121460

51. Rogers, E. M. (2003). Diffusion of Innovations (Fifth ed.). New York: Free Press.

52. Rosenthal, R. (1991). Meta-analytic procedures for social research. Newbury Park, CA: Sage.

53. San Martín, M., & Herrero, A. (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), 341-350. doi: 10.1016/j.tourman.2011.04.003

54. Sanmukhiya, C. (2017a). E-governance dimensions in the Republic of Mauritius. Paper presented at the 7th International Conference on Recent Developments in Social Sciences and Business Studies, Paya Labar Singapore.

55. Sanmukhiya, C. (2017b). E-government Divide in the Republic of Mauritius. Paper presented at the International Conference on Social and Management Sciences, Theoretical and Practical Approaches, Singapore.

56. Schuppan, T. (2009). E-government in developing countries: experiences from Sub-Saharan Africa. Government Information Quarterly, 26, 118-127. doi: 10.1016/j.giq.2008.01.006

57. Shampa, P. (2007). A Study of E-governance Initiatives in India. The International Information and Library Review, 39, 176-184. doi: 10.1016/j.iilr.2007.06.003

58. Shin, D.-H. (2009). Towards an Understanding of the Consumer Acceptance of Mobile wallet. Computers in Human Behavior, 25(6), 1343-1354. doi: 10.1016/j.chb.2009.06.001

59. Slade, E. L., Dwivedi, Y. K., Piercy, N. C., & Williams, M. D. (2015). Modeling Consumers’ Adoption Intentions of Remote Mobile Payments in the United Kingdom: Extending UTAUT with Innovativeness, Risk, and Trust. Psychology and Marketing, 32(8), 860-873. doi: 10.1002/mar.20823

60. Statistics Mauritius. (2018). ICT Statistics Year 2017. Retrieved 1st December, 2018, from http://statsmauritius.govmu.org/English/Publications/Pages/ICT_Stats_Yr17.aspx

61. Taipale, S. (2013). The use of e-government services and the internet: the role of socio-demographic, economic and geographical Predictors. Telecommunications Policy, 37(4/5), 413-422. doi: 10.1016/j.telpol.2012.05.005

62. Taiwo, A. A., & Downe, A. G. (2013). The Theory of User Acceptance and Use of Technology (UTAUT): A Meta-Analytic Review of Empirical Findings Journal of Theoretical and Applied Information Technology, 49(1), 48-58.

63. 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: A Structural Equation Modeling Approach. Information Technology & People, 29(4), 830-849. doi: 10.1108/ITP-02-2014-0034

64. Taylor, S., & Todd, P. A. (1995a). Assessing IT Usage: The Role of Prior Experience. MIS Quarterly, 19(2), 561-570. doi: 10.2307/249633

65. Taylor, S., & Todd, P. A. (1995b). Understanding information technology usage: a test of competing models. Information Systems Research, 6(2), 144-176. doi: 1047-7047/95/0602/0144/$01.25

66. Thomas, T. D., Singh, L., & Gaffar, K. (2013). The Utility of the UTAUT Model in Explaining Mobile Learning Adoption in Higher Education in Guyana. International Journal of Education and Development Using Information and Communication Technology (IJEDICT), 9(3), 71-85.

67. Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991). Personal Computing: Toward a Conceptual Model of Utilization. MIS Quarterly, 15(1), 125-143. doi: 10.2307/249443

68. Triandis, H. C. (1980). Values, Attitudes, and Interpersonal Behavior. In P. M. Monte & H. E. Hewe (Eds.), Nebraska Symposium on Motivation 1979 : Beliefs, Attitudes and Values (pp. 195-259). U.S.: Lincoln, NE, University of Nebraska Press.

69. van Dijk, Jan A. G. M, Peters, O., & Ebbers, W. (2008). Explaining the Acceptance and Use of Government Internet Services: A Multivariate Analysis of 2006 Survey Data in the Netherlands. Government Information Quarterly, 25(3), 379-399. doi: 10.1016/j.giq.2007.09.006

70. Venkatesh, V., & Davis, F. D. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies Management Science, 46(2), 186-204. doi: 10.1287/mnsc.46.2.186.11926

71. 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.

72. Venkatesh, V., Sykes, T. A., & Venkatraman, S. (2014). Understanding E-government Portal Use in Rural India: Role of Demographic and Personality Characteristicsis. Information Systems Journal, 24, 249-269. doi: 10.1111/isj.12008

73. Waehama, W., McGrath, M., Korthaus, A., & Fong, M. (2014). ICT Adoption and the UTAUT Model International Journal of Information Technology & Computer Science ( IJITCS ), 17(2), 24-30.

74. Weerakkody, V., Irani, Z., LeeI, H., Osman, I., & Hindi, N. (2015). E-government Implementation: A Bird’s Eye View of Issues Relating to Costs, Opportunities, Benefits and Risks. Information Systems Frontiers, 17(4), 889-915. doi: 10.1007/s10796-013-9472-3

75. Wirtz, B. W., Mory, L., Piehler, R., & Daiser, P. (2017). E-government: A Citizen Relationship Marketing Analysis International Review on Public and Nonprofit Marketing, 14(2), 149-178. doi: 10.1007/s12208-016-0164-9

76. Yi, M. Y., Jackson, J. D., Park, J. S., & Probst, J. C. (2006). Understanding Information Technology Acceptance by Individual Professionals: Toward an Integrative View. Information & Management, 43(3), 350-363. doi: 10.1016/j.im.2005.08.006

77. Zhou, T. (2013). The Effect of Flow Experience on User Adoption of Mobile TV. Behaviour & Information Technology, 32(3), 263-272. doi: 10.1080/0144929X.2011.650711

78. Zhou, T., Lu, Y., & Wang, B. (2010). Integrating TTF and UTAUT to Explain Mobile Banking User Adoption. Computers in Human Behavior, 26(4), 760-767. doi: 10.1016/j.chb.2010.01.013

79. Erhirhie, Earnest Oghenesuvwe, Chinwuba Paul, and . 2019. Edible Insects' bio-actives as anti-oxidants: Current status and perspectives.. Journal of Complementary Medicine Research, 10 (2), 89-

102. doi:10.5455/jcmr.20190130100319

80. Dogra, N., Puri, G.D., Kumar, B.Isolated pericardial echinococcosis: Perioperative transesophageal echocardiographic evaluation(2013) Journal of Cardiovascular Disease Research, 4 (2), pp. 149-151. DOI: 10.1016/j.jcdr.2012.11.004

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Published

31.10.2020

How to Cite

Sanmukhiya, C. (2020). Predicting E-government Use in Mauritius: Non-Parametric Procedures. International Journal of Psychosocial Rehabilitation, 24(8), 2121-2149. https://doi.org/10.61841/wa30vk24