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A STUDY OF EFFECT OF DEMOGRAPHIC FACTORS ON E-GOVERNMENT DIVIDE IN THE REPUBLIC OF MAURITIUS
Corresponding Author(s) : Chintamanee Sanmukhiya
Humanities & Social Sciences Reviews,
Vol. 7 No. 6 (2019): November
Abstract
Republic of Mauritius. Findings would encourage wider e-participation and e-inclusion into policy-making from all segments of the population.
Methodology: A stratified random sample of 310 users and non-users of e-government was used. Logistic regression was estimated. The non-significant Hosmer-Lemeshow test and the Nagelkerke R2 of 0.538 imply that the logit model is useful in predicting the e-government divide.
Main Findings: The classification table shows 81% correct classification. All Wald Chi-Square statistics are reported. This research reveals that marital status and gender do not predict the e-government divide. Age (p<0.01), education (p<0.001), middle income range (p<0.05), dwellership (p<0.01) and public sector employment (p<0.05) affect a citizen’s decision to adopt e-government. The massive investments in e-government initiatives cannot be justified as these have not catered for universal coverage. Young citizens are 20 times more likely than old citizens to adopt e-government.
Implications/Applications: The tendency to use e-government increases as more education is acquired. Rural dwellership almost triples the odds of e-government adoption although these citizens are less educated than their urban counterparts. Public sector employees are 3.6 times more likely to use government websites than the self-employed. Monthly income earners of Rs 20001 to Rs 35000 are 3.3 times more likely to use e-government services than those earning up to Rs 10000. This study is ground-breaking and challenges the belief that rural dwellers are marginalized and reinforces the importance of education within the theoretical framework of the e-government divide.
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- 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. https://doi.org/10.1016/j.giq.2004.12.001 DOI: https://doi.org/10.1016/j.giq.2004.12.001
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- Choudrie, J., & Dwivedi, Y. K. (2005). The demographics of broadband residential consumers in a British local community: The London borough of Hillingdon. Journal of Computer Information Systems, 45(4), 93-101.
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References
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. https://doi.org/10.1016/j.giq.2004.12.001 DOI: https://doi.org/10.1016/j.giq.2004.12.001
Al Athmay, A. A. A. R. A. (2015). Demographic factors as determinants of e-governance adoption: a field study in the United Arab Emirates (UAE). Transforming Government: People, Process and Policy, 9(2), 159-180. https://doi.org/10.1108/TG-07-2014-0028 DOI: https://doi.org/10.1108/TG-07-2014-0028
AL Athmay, A. A. A., Fantazy, K., & Kumar, V. (2016). E-government adoption and user’s satisfaction: an empirical investigation. EuroMed Journal of Business, 11(1), 57-83. https://doi.org/10.1108/EMJB-05-2014-0016 DOI: https://doi.org/10.1108/EMJB-05-2014-0016
Ali, M. A., Tazilah, M. D., & Kamaruzaini, K. I. (2016). A study on the determinants of taxpayer's intention towards manual tax system: A case study in Klang Valley. International Journal of Business, Economics and Law, 10(1), 14-22.
Almahamid, S. O. U. D., Mcadams, A. C., Al Kalaldeh, T. A. H. E. R., & MO'TAZ, A. S. E. (2010). The relationship between perceived usefulness, perceived ease of use, perceived information quality, and intention to use e-government. Journal of Theoretical & Applied Information Technology, 11.
Almarabeh, T., & AbuAli, A. (2010). A general framework for e-government: definition maturity challenges, opportunities, and success. European Journal of Scientific Research, 39(1), 29-42.
Almuwil, A., Weerakkody, V., & El-Haddadeh, R. (2011). A conceptual study of the factors influencing e-inclusion. Paper Presented at the European Mediterranean & Middle Eastern Conference on Information Systems, Athens, Greece.
Alomari, M. K. (2014). Discovering citizens reaction toward e-government: factors in e-government adoption. JISTEM-Journal of Information Systems and Technology Management, 11(1), 5-20. https://doi.org/10.4301/S1807-17752014000100001 DOI: https://doi.org/10.4301/S1807-17752014000100001
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, Abu Dhabi UAE.
Avgerou, C. (2003). The link between ICT and economic growth in the discourse of development. In Organizational information systems in the context of globalization (pp. 373-386). Springer, Boston, MA. https://doi.org/10.1007/978-0-387-35695-2_23 DOI: https://doi.org/10.1007/978-0-387-35695-2_23
Belanger, F., & Carter, L. (2006). The effects of the digital divide on e-government: An empirical evaluation. Paper presented at the 39th Hawaii International Conference on System Sciences, Kauai, HI, USA. https://doi.org/10.1109/HICSS.2006.464 DOI: https://doi.org/10.1109/HICSS.2006.464
Bélanger, F., & Carter, L. (2009). The impact of the digital divide on e-government use. Communications of the ACM, 52(4), 132-135. https://doi.org/10.1145/1498765.1498801 DOI: https://doi.org/10.1145/1498765.1498801
Biju, A. V. (2016). Social connectivity of local governments: A social network analysis basedon Kerala local governments. Journal of Advances in Humanities and Social Sciences, 1(2), 44-54. https://doi.org/10.20474/jahss2.1.5 DOI: https://doi.org/10.20474/jahss2.1.5
Bizon, W. (2016). Stimulating entrepreneurship by introducing behavioural incentives, propensity to use financial instruments in the context of decision makers' personal characteristics and their financial knowledge in Polish SMEs.†Journal of Administrative and Business Studies, 2(6), 270-279. https://doi.org/10.20474/jabs-2.6.2 DOI: https://doi.org/10.20474/jabs-2.6.2
Carveth, R., & Kretchmer, S. B. (2002). The digital divide in Western Europe: problems and prospects. Informing Science, 5(3), 239-249. https://doi.org/10.28945/2456 DOI: https://doi.org/10.28945/2456
Cecchini, S., & Raina, M. (2004). Electronic government and the rural poor: The case of Gyandoot. Information Technologies and International Development, 2(2), 65-75. https://doi.org/10.1162/1544752044193434 DOI: https://doi.org/10.1162/1544752044193434
Choudrie, J., & Dwivedi, Y. K. (2005). The demographics of broadband residential consumers in a British local community: The London borough of Hillingdon. Journal of Computer Information Systems, 45(4), 93-101.
Choudrie, J., & Lee, H. (2004). Broadband development in South Korea: institutional and cultural factors. European Journal of Information Systems, 13(2), 103-114. https://doi.org/10.1057/palgrave.ejis.3000494 DOI: https://doi.org/10.1057/palgrave.ejis.3000494
Colesca, S. E., & Dobrica, L. (2008). Adoption and use of e-government services: The case of Romania. Journal of applied research and technology, 6(3), 204-217. https://doi.org/10.22201/icat.16656423.2008.6.03.526 DOI: https://doi.org/10.22201/icat.16656423.2008.6.03.526
Dianita, M. (2015). Role of the internal auditor influence and good corporate governance in banking financial performance against state owned corporation. International Journal of Business and Administrative, 1(4), 176- 179. https://doi.org/10.20469/ijbas.10006-4 DOI: https://doi.org/10.20469/ijbas.10006-4
Dwivedi, Y. K., & Lal, B. (2007). Socio-economic determinants of broadband adoption. Industrial Management & Data Systems, 107(5), 654-671. https://doi.org/10.1108/02635570710750417 DOI: https://doi.org/10.1108/02635570710750417
Dwivedi, Y. K., Choudrie, J., & Brinkman, W. P. (2006). Consumer usage of broadband in British households. International Journal of Services and Standards, 2(4), 400-416. https://doi.org/10.1504/IJSS.2006.010472 DOI: https://doi.org/10.1504/IJSS.2006.010472
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Field, A. (2009). Discovering statistics using SPSS (and sex and drugs and rock'n'roll) (Third edition.). London, UK: SAGE Publications.
Gefen, D., & Straub, D. W. (1997). Gender differences in the perception and use of e-mail: An extension to the technology acceptance model. MIS quarterly, 389-400. https://doi.org/10.2307/249720 DOI: https://doi.org/10.2307/249720
Hung, S. Y., Chang, C. M., & Yu, T. J. (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. https://doi.org/10.1016/j.giq.2005.11.005 DOI: https://doi.org/10.1016/j.giq.2005.11.005
Ibrahim, & Pope, J. (2011). Compliance costs of electronic tax filing for personal taxpayers in Malaysia. Paper Presented at the International Conference on Management, Austria.
Islam, M. A., Yusuf, D. H. M., & Bhuiyan, A. B. (2015). Taxpayers’ Satisfaction in Using E—Fih ‘ng System in Malaysia: Demographic Perspective. The Social Sciences, 10(2), 160-165.
Jun, K. N., & Wang, F. (2012). E-government and citizen attitude towards local government in China: Transperency and capacity in service delivery.Paper Presented at the International Conference at Fudan University,Shanghai, China.
Komba, M. M., & Ngulube, P. (2014). Socioeconomic determinants of e-government adoption in selected districts of Tanzania. ESARBICA Journal, 33, 71.
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Luo, X. H. (2009). New perspective for e-governance performance. Paper Presented at the International Conference on Management of E-commerce and E-government, Beijing: China.
Mason, S. M., & Hacker, K. L. (2003). Applying communication theory to digital divide research. It & Society, 1(5), 40-55.
Mutula, S. M. (2008). Comparison of sub-Saharan Africa's e-government status with developed and transitional nations. Information Management & Computer Security, 16(3), 235-250. https://doi.org/10.1108/0 9685220810893199 DOI: https://doi.org/10.1108/09685220810893199
Mwangakala, H. A. (2012). The effect of demographic characteristics on citizens' usage of government websites. Dodoma, Tanzania. https://doi.org/10.2139/ssrn.2146597 DOI: https://doi.org/10.2139/ssrn.2146597
Niehaves, B., Gorbacheva, E., & Plattfaut, R. (2013). The digital divide vs. the e-government divide. In R. J. Gil-Garcia, (Eds.,), E-government success factors and Measures: Theories, concepts, and methodologies (pp. 52-65). Mexico: IGI Global. https://doi.org/10.4018/978-1-4666-4058-0.ch004 DOI: https://doi.org/10.4018/978-1-4666-4058-0.ch004
Olaitan, A. W. (2015). The contributory effects of socio-cultural factors on e-government adoption among Nigerians. Global journal of politics and law research, 3(1), 91-104.
Omigie, N. O., Zo, H., & Rho, J. J. (2015). User acceptance of mobile broadband in Nigeria. In Information and Knowledge Management (Vol. 5, No. 7, pp. 62-78).
Owolabi, S. (2013). Socio-demographic factors as determinants of access and use of ICT by staff of university libraries in Oyo State. LIbrary Philosopht and Practice, 947, 1-18.
Rehman, M., Kamal, M., & Esichaikul, V. (2012). Determinants of trust in e-government adoption: A case study of Pakistan. Paper Presented at the American Conference on Information Systems, Washington, USA.
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. https://doi.org/10.1080/15332861.2015.1121460 DOI: https://doi.org/10.1080/15332861.2015.1121460
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