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Exploring Critical Success Factors Towards Adoption of M-Government Services in Tanzania: A Web Analytics Study

Exploring Critical Success Factors Towards Adoption of M-Government Services in Tanzania: A Web Analytics Study

Fredrick Ishengoma
ISBN13: 9781799878483|ISBN10: 1799878481|ISBN13 Softcover: 9781799878490|EISBN13: 9781799878506
DOI: 10.4018/978-1-7998-7848-3.ch009
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MLA

Ishengoma, Fredrick. "Exploring Critical Success Factors Towards Adoption of M-Government Services in Tanzania: A Web Analytics Study." App and Website Accessibility Developments and Compliance Strategies, edited by Yakup Akgül, IGI Global, 2022, pp. 225-253. https://doi.org/10.4018/978-1-7998-7848-3.ch009

APA

Ishengoma, F. (2022). Exploring Critical Success Factors Towards Adoption of M-Government Services in Tanzania: A Web Analytics Study. In Y. Akgül (Ed.), App and Website Accessibility Developments and Compliance Strategies (pp. 225-253). IGI Global. https://doi.org/10.4018/978-1-7998-7848-3.ch009

Chicago

Ishengoma, Fredrick. "Exploring Critical Success Factors Towards Adoption of M-Government Services in Tanzania: A Web Analytics Study." In App and Website Accessibility Developments and Compliance Strategies, edited by Yakup Akgül, 225-253. Hershey, PA: IGI Global, 2022. https://doi.org/10.4018/978-1-7998-7848-3.ch009

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Abstract

For the past decade, the Tanzanian government has started implementing m-government initiatives. However, little is known about the factors surrounding m-government adoption in Tanzania. Consequently, some m-government services have been successfully adopted while others are still struggling (having a low level of adoption). In this chapter, the authors investigate critical success factors (CSFs) that favor the adoption of m-government services from a web analytics point of view. The results show that inspecting the web analytics data from multiple viewpoints and varying levels of detail, gives insights on the CSFs towards the adoption of m-government services. The findings suggest that perceived usefulness, user needs, and usability favor the adoption of one m-government service over the other. Moreover, factors like the loading time of the service, the number of requests, and bounce rate seem not to have an effect.

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