The effect of automated information systems on the Kenyan county government’s operations: A case study of Kiambu county government

Wairimu, M.; Nyaoga, R.

Growing Science » Accounting » The effect of automated information systems on the Kenyan county government’s operations: A case study of Kiambu county government

Journals

AC Volumes

Volume 1 (9)
- Issue 1 (5)
- Issue 2 (4)

Volume 2 (20)
- Issue 1 (5)
- Issue 2 (5)
- Issue 3 (5)
- Issue 4 (5)

Volume 3 (22)
- Issue 1 (7)
- Issue 2 (6)
- Issue 3 (4)
- Issue 4 (5)

Volume 4 (17)
- Issue 1 (5)
- Issue 2 (4)
- Issue 3 (4)
- Issue 4 (4)

Volume 5 (17)
- Issue 1 (4)
- Issue 2 (4)
- Issue 3 (4)
- Issue 4 (5)

Volume 6 (154)
- Issue 1 (5)
- Issue 2 (16)
- Issue 3 (18)
- Issue 4 (25)
- Issue 5 (30)
- Issue 6 (30)
- Issue 7 (30)

Volume 7 (205)
- Issue 1 (29)
- Issue 2 (27)
- Issue 3 (25)
- Issue 4 (30)
- Issue 5 (26)
- Issue 6 (32)
- Issue 7 (36)

Volume 8 (46)
- Issue 1 (10)
- Issue 2 (15)
- Issue 3 (14)
- Issue 4 (7)

Volume 9 (21)
- Issue 1 (5)
- Issue 2 (6)
- Issue 3 (5)
- Issue 4 (5)

Volume 10 (20)
- Issue 1 (5)
- Issue 2 (5)
- Issue 3 (5)
- Issue 4 (5)

Countries

Accounting

ISSN 2369-7407 (Online) - ISSN 2369-7393 (Print) Quarterly Publication Volume 4 Issue 3 pp. 101-112 , 2018

The effect of automated information systems on the Kenyan county government’s operations: A case study of Kiambu county government Pages 101-112 Download PDF

Authors: Muraya Brenda Wairimu, Richard B. Nyaoga

DOI: 10.5267/j.ac.2017.11.002

Keywords: Operations, Automated information systems, Improve, County government

Abstract: Accounting plays a very crucial role in the management and success or failure of most organizations. As a system, automated information system records and processes data of transaction and events into useful information for use in planning, controlling and operation of businesses. Kenya is a growing economy, and the global pressure has forced it to embrace E-Governance practices. As a result, ways to improve their operations have been placed. This study aimed at establishing the effect of implementing Automated Information Systems (AIS) on the County Government’s operations. The County operations were classified in terms of transparency and record keeping as well as supervision while the AIS was operationalized in terms of the Zizi System, the County Pro System and the Integrated Financial Management Information System (IFMIS). This study employed complete enumeration survey method to collect data from all the twelve sub-counties in Kiambu, Kenya. The respondents were the IT managers, Financial Officers, and the Revenue Officers. Multiple regression was used to test the effect of AIS on the Kenya County Governments’ operation. The findings of this study indicate that implementing the Automated Information Systems had a significant positive effect on the county government’s operations.

How to cite this paper

 Wairimu, M & Nyaoga, R. (2018). The effect of automated information systems on the Kenyan county government’s operations: A case study of Kiambu county government.Accounting, 4(3), 101-112.

Refrences

Alharbi, S., & Drew, S. (2014). Using the Technology Acceptance Model in Understanding Academics’ Behavioural Intention to Use Learning Management Systems. International Journal of Advanced Computer Science and Applications, 5(1), 143–155.
Atsiaya, B., Wanyama, K., & Douglas, M. (2014). Effects of Total Quality Management Implementation on Electronic-Government in County Government of Kakamega. International Journal of Business and Management, 2(5), 228–233.
Basahel, A., & Irani, Z. (2010). Examining the Strategic Benefits of Information Systems: A Global Casrs Study. In EMCIS2010 (pp. 1–17).
Carmines, E. G., & Zeller, R. A. (1979). Reliability and Validity Assessment. London: Sage Publications.
Ellul, J. (1967). The Technological Soceity. New York: Vintage Books Publishing.
Ndirangu E. (2015). http://www.kiambu.go.ke/departments/education-ict
Kahari, C. K., Gathogo, G., & Wanyoike, D. (2015). Assessment of Factors Affecting the Implementation of Intergrated Financial Manangement Information Syystem in the County Governments: A Case of Nyandarua County, Kenya. International Journal of Economics, Commerce and Management, 3(11), 1352–1373.
Kamenyi, D. M. (2016). Effectiveness of IFMIS in Public Sector. Nairobi.
Kline, R. R. (2015). Technological Determinism. International Encyclopedia of the Social & Behavioral Sciences, 109–112.
Landau, S., & Everitt, B. S. (2004). A Handbook of Statistical Analyses using SPSS. Washington, D.C: Chapman & Hall.
Maina, L. N. (2015). The Strategic Effect of Automating Financial Systems in Devolved Governments’ Perfomance: A Case of Nairobi County. Nairobi.
Ndunda, J., Ngahu, S., & Wanyoike, D. (2015). Analysis of Factors Influencing Optimal Revenue Collection by County Governments in Kenya. International Journal of Economics, Commerce and Management, III(5), 1114–1129.
Nguli, M., Gicaci, J., Kahiu, N., Kamau, S., & Mungai, S. (2016). Making Kiambu the Growth Pole and Investment Hub of Kenya.
Ochieng, J. (2014). http://www.icta.go.ke/integrated-financial-management-information-systems-ifmis/.
Okiro, A. (2015). The Effect of E-Payment System on Revenue Colletion by the Nairobi City County Government.
Pabedinskaite, A. (2010). Factors of Successful Implementation of ERP Systems, 15, 691–697.
Park, S. Y. (2009). An Analysis of the Technology Acceptance Model in Understanding University Students ’ Behavioral Intention to Use E-Learning. Journal of Educational Technology and Society, 12(3), 150–162.
Saufi, M., Rusuli, C., Tasmin, R., & Takala, J. (2012). A Theoretical Study of the Sand Cone Model and Knowledge Management from Malaysian University Libraries Perspective. International Journal of Information Technology and Business Management, 1(1), 1–8.
Slack, N., Chambers, S., & Johnston, R. (2010). Operations Management (Sixth Edit). Harlow, England: Prntice Hall, Pearson.
Tavakol, M., & Dennick, R. (2011). Making Sense of Cronbach ’ s alpha. International Journal of Medical Education, 2, 53–55.
Trivellas, P. G., & Santouridis, I. (2013). The Impact of Management Information Systems ’ Effectiveness on Task Productivity: The Case of the Greek Banking Sector. International Journal of Computer Theory and Engineering, 5(1), 170–173.
Tyrrell, S. (2009). SPSS : Stats Practically Short and Simple. Denmark: Ventus Publishing ApS.
Veblen, T. (1899). The Preconceptions of Economic Science. Quarterly Journal of Economics, 13, 31.