Authors :
Percila Achien’g Onduru; David Oima
Volume/Issue :
Volume 10 - 2025, Issue 9 - September
Google Scholar :
https://tinyurl.com/4a48tr9r
Scribd :
https://tinyurl.com/32c9ewje
DOI :
https://doi.org/10.38124/ijisrt/25sep013
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Note : Google Scholar may take 30 to 40 days to display the article.
Abstract :
Revenue collection among the devolved units has drawn interest from around the world. Some developing African
nations, like Ghana, introduced devolved governments with the collection of their own revenue as part of their functions.
East African nations, such as Rwanda, saw the establishment of local governments and own-source revenue collection as an
urgent and necessary corrective action in response to their economic challenges. County Governments in Kenya were formed
in 2013 with Article 209 of the Constitution of Kenya (2010) in respect of the collection of own-source revenue by the county
governments. The County Government of Siaya utilized manual revenue collection systems until 2015 when the POS gadgets,
ECR, and Mobile payment system were introduced in the 2015/2016 F/Y. County Fiscal Strategy Papers show that during
the 2013/2014, 2014/2015, and 2015/2016 F/Y, the County Government recorded negative deviations of -34, -52% and -41%
in Own Source Revenue, respectively. In 2017/2018, 2018/2019, 2019/2020, and 2020/2021, the County Government of Siaya
also had negative deviations in Own Source Revenue of -53%, -42%, -56%, and -19% respectively. F/Y 2021/2022 recorded
a positive deviation of 0.21%. An inadequate and inefficient electronic revenue collection system has been cited as the major
contributor to the continued underperformance in the collection of revenue. Despite the county having a partially automated
system of revenue collection, it must be noted that the revenue collected has remained significantly low over the past five
years. This means that the systems may be inadequately utilized, thus the need to assess with a view to increasing the revenue
collection and financial performance. The results of the research on the impact of the utilization of automated revenue
collection on the financial performance were inconsistent. It is in this context that the objective of the research was to
determine the impact of electronic revenue collection on the financial performance of the County Government of Siaya. To
be specific, the research aimed at identifying the impact of the Point of Sale machine on the financial performance of the
County Government of Siaya, the impact of the Electronic Cash Register system on the financial performance of the County
Government of Siaya, and the impact of the Mobile Payment System on the financial performance of the County
Government of Siaya. The study was backed by two theories, namely: Expediency Theory of Taxation and Technology
Acceptance Model Theory. This study utilized the correlation research design and was directed at 98 staff serving the
department of finance in County Government of Siaya. A sample of 79 respondents was selected using the formula of Taro
Yamane. Primary data was employed in the study and this was collected through a questionnaire. The analysis of a pilot
study of eight (8) respondents conducted in the Siaya County indicated that there was an alpha of 0.81, which exceeded the
Cronbach alpha coefficient of 0.7; hence, the instruments were reliable. The 8 respondents were not included in the sample
size; therefore, 71 respondents were utilized to conduct the study. Expert judgment was used to define validity. The data
was analyzed with multiple regression and Pearson product-moment correlation in determining the relationship between
the independent and dependent variable. The findings showed that the use of point of sale machines had the strongest positive
impact on financial performance (β=.886, p=.000), followed by the use of electronic cash registers with a beta value of β=.197,
p=.000 then the use of mobile payment systems (β=.093, p=.000). The findings further revealed that there existed a significant
and strong positive correlation between the use of point of sale machines (r=.995, p=.000), implying that point of sale
machines significantly affected financial performance. The electronic cash registers had (r=.899, p=.000), implying that
electronic cash registers significantly affected financial performance. The mobile payment systems recorded (r=.861, p=.000)
and financial performance, implying that mobile payment systems significantly affected financial performance. The research
established that the implementation of electronic revenue collection positively and significantly affects the financial
performance of the County Government of Siaya.
Keywords :
Revenue Collection, Financial Performance, County Government of Siaya, Point of Sale Machines, Electronic Cash Registers, Mobile Payment Systems, Electronic Systems Inefficiency.
References :
- Abbas, A., Khwaja, A. I., Khan, A. Q., & Singhal, M. (2017). Pilot study on the effect of political influence on tax payment compliance. International Growth Centre (IGC).
- Adeoti, O. O. (2013). Challenges to the efficient use of point of sale (POS) terminals in Nigeria. African Journal of Business Management, 7(28), 2801.
- Ahmed, B. S., & Omarabi, O. H. (2021). Challenges facing the use of point of sale POS from the merchants and banks’ employees’ perspective in Sudan. International Business & Economics Studies, 4(3), p88. https://doi.org/10.22158/ibes.v4n3p88
- Alamgir, M. H. (2019). Security perception in the adoption of mobile payment and the moderating effect of gender. PSU Research Review, 3(3), 179-190.
- Amedanou, Y. M. I. (2021). Politics, Institutions, and Tax Revenue Mobilization in West African Economic and Monetary Union (WAEMU) Countries.
- Apeti, A. E., & Edoh, E. D. (2023). Tax revenue and mobile money in developing countries. Journal of Development Economics, 161, 103014.
- Awwad, B. S. (2021). The role of e-payments in enhancing financial performance: A case study of the Bank of Palestine. Banks and Bank Systems, 16(4), 114.
- Ayana, I. D., Demissie, W. M., & Sore, A. G. (2024). On the government revenue on economic growth of Sub-Saharan Africa: Does institutional quality matter?. Heliyon, 10(2).
- Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management science, 35(8), 982-1003.
- Bekele, K. (2020). The Impact of Electronic Cash Register Machine On VAT Income: The Case of Hawassa City. International Journal of Research in Management, Science and Technology, 11(6).
- Bhartia, H. L. (2009). Public Finance. 14th ed. New Delhi: Vikas Publishing House PVT Ltd.
- Casey, P., & Castro, P. (2015). Electronic Fiscal Devices (EFDs): An Empirical Study of their Impact on Taxpayer Compliance and Administrative Efficiency. International Monetary Fund.
- Chandran, E. (2004). Research methods: A quantitative Approach with Illustration from
- Chepchirchir, L. K. E. (2019). Effect of Electronic Point of Sale System on Operational Efficiency of Hotels in Nakuru County (Doctoral dissertation, Kabarak University).
- Chepkoech, N., Gichana, J. O., & Agong, D. (2022). Effect of e-payment systems on sustainable revenue collection in Nairobi City County Government. International Academic Journal of Economics and Finance, 3 (7), 238, 253, 2.
- Cote, M. (2015). The Power of Point of Sale: Improving Growth, Profit, and Customer Service in a Retail Business.
- CRA-Kenya Report (2022). Comprehensive Own Source-Revenue OSR Potential and Tax Gap Study https://cra.go.ke/download/comprehensive-own-source-revenue-osr-potential-and tax-gap-study/?wpdmdl=3057&refresh=685e17d3bf7db1750996947
- Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16,297-334. Klaas Sjesma Tilburg University
- Dahlby, B. (2009). “An Optimal Taxation Approach to Intergovernmental Grants,” Working Paper, Department of Economics, University of Alberta
- Dick-Sagoe, C. (2020). Decentralization for improving the provision of public services in developing countries: A critical review. Cogent Economics & Finance, 8(1), 1804036.
- Economics, O. (2020). World economic prospects. Executive summary.
- Fatonah, S., Yulandari, A., & Wibowo, F. W. (2018). A review of the e-payment system in e-commerce. In Journal of Physics: Conference Series (Vol. 1140, No. 1, p. 012033). Financial Institutions
- Githinji, R. K., Mwaniki, M., Kirwa, K. J., &Mutongwa, S. M. (2014). Information and communication technology (ICT) on revenue collection by Kenyan Counties. International Journal of Academic Research in Business and Social Sciences, 4(11), 238-260.
- Günel, T., & Didinmez, I. (2022). Relationship between rule of law and tax revenues: dynamic panel data analysis. Public Sector Economics, 46(3), 403-419.
- Gupta, M. S., Keen, M. M., Shah, M. A., & Verdier, M. G. (Eds.). (2017). Digital revolutions in public finance. International Monetary Fund.
- Hassan K. I. A., Ahmed, B. S., & Omarabi, O. H. (2022). Challenges facing the use of point of sale POS from the merchants and banks’ employees’ perspective in Sudan. https://doi.org/10.22158/ibes.v4n3p88
- Hayes, A. (2019). Review of Stratified Random Sampling Technique
- Hossain, M. A. (2019). Security perception in the adoption of mobile payment and the moderating effect of gender. PSU Research Review, 3(3), 179-190.
- Jepkoech, J. (2021). Operational determinants and revenue collection efficiency in the county Government of Nandi, Kenya (Doctoral dissertation, MMUST).
- Jumanne, M., & Mrindoko, A. (2023). Undefined. Sustainable Education and Development – Sustainable Industrialization and Innovation, 763-783. https://doi.org/10.1007/978-3-031-25998-2_60
- Kahindi, H. S. (2013). Institutionalization of devolved governance strategy by county governments in Kenya (Doctoral dissertation, University of Nairobi).
- Kamnikar et al. (2006). Assessing a state’s financial condition. Journal for Local Government Studies. 41(3): 1-20
- Kenya Laws. O. (2013). The Constitution of Kenya: 2010. Chief Registrar of the Judiciary.
- Kenya National Bureau of Statistics. (2019). 2019 Kenya population and housing census results.
- Khalid, K., Abdullah, H. A., & Kumar, M. (2012). Get along with the quantitative research process. International Journal of Research in Management.
- Khaunya, M. F., Wawire, B. P., &Chepng’eno, V. (2015). Devolved Governance in Kenya: Is it a False Start in Democratic Decentralization for Development? International Journal, 4(1).
- Kiambi, S. M., Walubaka, D. E., & Munene, D. H. N. (2022). The Influence of County Government Financial Mobilization on Service Delivery in Meru County, Kenya.
- Kiarie N. (2020). Effects of online tax system on tax compliance among small taxpayers in Meru County, Kenya. International Journal of Economics, Commerce and Management 3(13):280-297.
- Kiilu, M. R., & Ngugi, K. (2014). Effect of public financial management reforms in the effective management of public funds in Kenya: a case study of the National Treasury. European Journal of Business Management, 2(1), 161-169. IOP Publishing.
- Kioko, E. K. (2022). Effect of Corporate Governance on Revenue Collection: A Study of Kenya Revenue Authority (Doctoral dissertation, University of Nairobi).
- Kirer, G., Langat, P., Cheruiyot, P., & Rop, W. (2024). Revenue Collectors' Competency on Achievement of Own Source Revenue in Kenyan County Governments. International Journal of Scientific Research and Management (IJSRM), 12(05), 6440-6448.
- Kisaka, V. N. (2021). Public Financial Management and Financial Performance of County Governments in Kenya.
- Kodhari, C. R. (2004). Research methodology: Methods and techniques. University of Rajasthan, Jaipur- (India)
- Ligeyo, V. O. (2019). System Automation and Revenue Collection in Siaya County Government, Kenya (Doctoral dissertation, University of Nairobi).
- Lubale, G. (2017). An Introduction to the County Governments of Kenya. Accessed on December 15, 201, from http://gabriellubale.com/an-introduction-to-thecounty-governments-of-kenya/
- Lucian, S. (2022). The Effects of the Use of Electronic Fiscal Devices On Tax Collection in Iringa Municipality. University of Iringa
- Lyimo, B. J., & Makilully, M. H. (2022). Impact of Electronic Fiscal Devices on Revenue Collection in Tanzania. Olva Academy, 4(1), 97-100.
- Madegwa, B. L., Makokha, E. N., & Namusonge, G. (2018). Effects of automation of revenue collection on the performance of county government: A case study of Trans Nzoia, County Government. Kenya. European Journal of Business and Management, 10(11), 32-49.
- Mbufu, A. K. (2013). The impact of revenue collection on service delivery in local governments: a case study of Ilala Municipal Council. MSc thesis of Mzumbe University.
- Mtebe, J. S., & Sausi, J. (2021). Revolutionization of revenue collection with government payment gateway system in Tanzania: A public value creation perspective. East African Journal of Science, Technology and Innovation, 2(3)https://doi.org/10.37425/eajsti.v2i3.248
- Mueni, M. R., Wawire, N. H., & Onono, P. A. (2021). Effects of political risk factors on tax revenue in Kenya. European Journal of Economic and Financial Research, 5(1).
- Mugenda, O., & Mugenda, A. (2003). Research Methodology Sample for Social Sciences.
- Muhammed, A., & Tesafa, Z. (2015). The Impact of Electronic Tax Register Machines on VAT Compliance in Ethiopia: the Case of Bahir Dar City. Research journal of finance and accounting, 6(13), 17-21.
- Muturi H.M. & Kiarie N. (2015). Effects of online tax system on tax compliance among small taxpayers in Meru County, Kenya. International Journal of Economics, Commerce and Management 3(13):280-297.
- Mwangi, J. W. (2019). Effects of the adoption of electronic tax registers on value-added tax collection among the manufacturing firms, Nairobi region.
- Njahi, J. T. (2017). Effect of financial management practices on financial performance of county governments in Kenya (Doctoral dissertation, University of Nairobi).
- Nyaga, C. N. (2016). Effect of Revenue Collection Processes Innovations on the Financial Performance of Selected County Governments in Kenya (Doctoral dissertation, KCA University).
- Okiro, A. (2015). The effect of the E-Payment system on revenue collection by the Nairobi City County Government (Doctoral dissertation, University of Nairobi).
- Omar, M. B., & Kilika, J. (2018). Service delivery practices and performance of selected banks in Nairobi County, Kenya. International Academic Journal of Human Resource and Business Administration, 3(4), 228-249.
- Onwonga, G. (2024). Role of County Own Source Revenue in the Provision and Management of Markets in Nairobi City County (Doctoral dissertation, University of Nairobi).
- Oparanya, W. (2019, June 29). Oparanya unveils cash digital system. Saturday Nation, pp. 10.
- Orodho, A., & Kombo, D. (2002). Research Methods, Nairobi. Kenyatta University. Institute of Learning. (53-56).
- Owandho, B. A. (2020). Factors affecting Revenue Collection by County Governments in Kenya.
- Ozili, P. K. (2018). Impact of digital finance on financial inclusion and stability. Borsa Istanbul Review, 18(4), 329-340.
- Silago, V. X., & Mkumbo, H. L. (2021). Contribution of POS Machines in Collecting Own Source Revenue in Sumbawanga Municipal Council.
- Torome, P. K. (2013). Relationship between revenue mobilization and performance of local authorities in Kenya. M.B.A. thesis of the University of Nairobi.
- Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204.
- Wahome, A. M. (2018). Effect of Revenue Collection Strategies On Financial Performance of County Governments in Kenya.
- Wang’ombe, J.M., &Kibati, P. (2016). Analysis of financial management practices on effective use of public funds in the County Government of Nakuru, Kenya. International Journal of Economics, Commerce and Management, 4(4), 1197- 1222
- Wanjiru, J. M. (2014). Effects of the adoption of electronic tax registers on value-added tax collection among the manufacturing firms, Nairobi region.
- Yamane, T. (2018). How to calculate sample size using Taro Yamane’s Formula? \
- Yogo, U. T., & Ngo Njib, M. M. (2018). Political competition and tax revenues in developing countries. Journal of International Development, 30(2), 302-322.
- Yu, W., Huang, H., Kong, X., & Zhu, K. (2023). Can Digital Inclusive Finance Improve the Financial Performance of SMEs? Sustainability, 15(3), 1867.
Revenue collection among the devolved units has drawn interest from around the world. Some developing African
nations, like Ghana, introduced devolved governments with the collection of their own revenue as part of their functions.
East African nations, such as Rwanda, saw the establishment of local governments and own-source revenue collection as an
urgent and necessary corrective action in response to their economic challenges. County Governments in Kenya were formed
in 2013 with Article 209 of the Constitution of Kenya (2010) in respect of the collection of own-source revenue by the county
governments. The County Government of Siaya utilized manual revenue collection systems until 2015 when the POS gadgets,
ECR, and Mobile payment system were introduced in the 2015/2016 F/Y. County Fiscal Strategy Papers show that during
the 2013/2014, 2014/2015, and 2015/2016 F/Y, the County Government recorded negative deviations of -34, -52% and -41%
in Own Source Revenue, respectively. In 2017/2018, 2018/2019, 2019/2020, and 2020/2021, the County Government of Siaya
also had negative deviations in Own Source Revenue of -53%, -42%, -56%, and -19% respectively. F/Y 2021/2022 recorded
a positive deviation of 0.21%. An inadequate and inefficient electronic revenue collection system has been cited as the major
contributor to the continued underperformance in the collection of revenue. Despite the county having a partially automated
system of revenue collection, it must be noted that the revenue collected has remained significantly low over the past five
years. This means that the systems may be inadequately utilized, thus the need to assess with a view to increasing the revenue
collection and financial performance. The results of the research on the impact of the utilization of automated revenue
collection on the financial performance were inconsistent. It is in this context that the objective of the research was to
determine the impact of electronic revenue collection on the financial performance of the County Government of Siaya. To
be specific, the research aimed at identifying the impact of the Point of Sale machine on the financial performance of the
County Government of Siaya, the impact of the Electronic Cash Register system on the financial performance of the County
Government of Siaya, and the impact of the Mobile Payment System on the financial performance of the County
Government of Siaya. The study was backed by two theories, namely: Expediency Theory of Taxation and Technology
Acceptance Model Theory. This study utilized the correlation research design and was directed at 98 staff serving the
department of finance in County Government of Siaya. A sample of 79 respondents was selected using the formula of Taro
Yamane. Primary data was employed in the study and this was collected through a questionnaire. The analysis of a pilot
study of eight (8) respondents conducted in the Siaya County indicated that there was an alpha of 0.81, which exceeded the
Cronbach alpha coefficient of 0.7; hence, the instruments were reliable. The 8 respondents were not included in the sample
size; therefore, 71 respondents were utilized to conduct the study. Expert judgment was used to define validity. The data
was analyzed with multiple regression and Pearson product-moment correlation in determining the relationship between
the independent and dependent variable. The findings showed that the use of point of sale machines had the strongest positive
impact on financial performance (β=.886, p=.000), followed by the use of electronic cash registers with a beta value of β=.197,
p=.000 then the use of mobile payment systems (β=.093, p=.000). The findings further revealed that there existed a significant
and strong positive correlation between the use of point of sale machines (r=.995, p=.000), implying that point of sale
machines significantly affected financial performance. The electronic cash registers had (r=.899, p=.000), implying that
electronic cash registers significantly affected financial performance. The mobile payment systems recorded (r=.861, p=.000)
and financial performance, implying that mobile payment systems significantly affected financial performance. The research
established that the implementation of electronic revenue collection positively and significantly affects the financial
performance of the County Government of Siaya.
Keywords :
Revenue Collection, Financial Performance, County Government of Siaya, Point of Sale Machines, Electronic Cash Registers, Mobile Payment Systems, Electronic Systems Inefficiency.