Skip to main content

Factors Influencing Performance Evaluation of e-Government Diffusion

  • Conference paper
  • First Online:
Data Analytics in System Engineering (CoMeSySo 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 935))

Included in the following conference series:

  • 73 Accesses

Abstract

E-Government has been identified as a tool to allow greater public access to information, and make government more accountable to citizens. E-Government concept has been in existence for some times, and research on the diffusion of e-Government has been limited to the industry but not much in the organs of government in South Africa. This paper endeavors to investigate the factors that influence performance evaluation of e-Government diffusion in the organs of government particularly in the municipalities. A quantifiable approach was used in this research; a model was proposed, and a survey was administered to a sample of 100 South African Citizens in the three selected municipalities. Results show that the rate of diffusion of e-Government in these municipalities is seventy-five percent (75%). This percentage suggests that strides have been taken to embrace Information and Communication Technology (ICT) in South Africa. It also indicates that Task characteristics, Task Technology Fit, Technology characteristics, Individual characteristics, Collaboration, Social Norms, Utilization, IT Infrastructure, Viability, Economic, Organizational Performance all contribute positively on the diffusion of e-Government in South Africa’s Municipalities. The e-Government diffusion assessment model was developed for organs of government. This research helps in the understanding of diffusion of e-Government in the organs of Government in South Africa.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Rogers, E.M.: Diffusion of Innovations, 4th edn. The Free Press, New York (1995)

    Google Scholar 

  2. Seifert, J., Petersen, E.: The promise of all things E? Expectations and challenges of emergent e- Government. Perspect. Global Dev. Technol. 1(2), 193–213 (2002)

    Article  Google Scholar 

  3. Irani, Z., Al-Sebie, M., Elliman, T.: Transaction stage of e-government systems: identification of its location & importance. In: Proceedings of the 39th Hawaii International Conference on System Science. IEEE Computer Society, Piscataway, NJ (2006)

    Google Scholar 

  4. Weerakkody, V., Dhillon, G.: Moving from e-government to t-government: a study of process reengineering challenges in a UK local authority context. Int. J. Electr. Gov. Res. 4(4), 1–16 (2008)

    Article  Google Scholar 

  5. United Nations, ‘UN E-Government Survey 2018’, New York (2018)

    Google Scholar 

  6. Odat, A.M.: E-Government in developing countries: Framework of challenges and opportunities. In: Paper presented at International Conference for the Internet Technology and Secured Transactions, pp. 578–582. IEEE (2012)

    Google Scholar 

  7. Shareef, A.M., Kumar, V., Kumar, U., Dwivedi, Y.K.: E-Government adoption model (GAM): differing service maturity levels. Gov. Inf. Q. 28, 17–35 (2011)

    Article  Google Scholar 

  8. Al-Jaghoub, S., Al-Yaseen, H., Al-Hourani, M.: Evaluation of awareness and acceptability of using E-Government services in developing countries: the case of Jordan. Electr. J. Inf. Syst. Eval. 13(1), 8 (2010)

    Google Scholar 

  9. Shareef, S.: E-government stage model: Based on citizen-centric approach in regional government in developing countries. Int. J. Electron. Commer. Stud. 3, 145–164 (2012)

    Google Scholar 

  10. Memon, A.H., Rahman, I.A.: SEM-PLS analysis of inhibiting factors of cost performance for large construction projects in Malaysia: perspective of clients and consultants. Sci. World J. 2014, 1–9 (2014). https://doi.org/10.1155/2014/165158

    Article  Google Scholar 

  11. Brosius, F.: SPSS 12 (1. Aufl). Bonn: Mitp, Verl., Gruppe (2004)

    Google Scholar 

  12. Anderson, R.E., Babin, B.J., Black, W.C., Hair, J.F.: Multivariate Data Analysis, 7th edn. Pearson, United States (2010)

    Google Scholar 

Download references

Acknowledgment

I wish to express my sincere gratitude and appreciation to my Co-author, Prof Tranos Zuva whose input helped us to produce a paper of good standard.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mkhonto Mkhonto .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Mkhonto, M., Zuva, T. (2024). Factors Influencing Performance Evaluation of e-Government Diffusion. In: Silhavy, R., Silhavy, P. (eds) Data Analytics in System Engineering. CoMeSySo 2023. Lecture Notes in Networks and Systems, vol 935. Springer, Cham. https://doi.org/10.1007/978-3-031-54820-8_23

Download citation

Publish with us

Policies and ethics