EFFECT OF INFORMATION TECHNOLOGY ON REVENUE COLLECTION AMONG COUNTY GOVERNMENTS IN KENYA

Authors: Janet Atieno Oyoo* & Nicodemus Mokaya

ABSTRACT

This study examines the effect of information technology (IT) on revenue collec- tion among county governments in Kenya. The specific objectives of the study were to evaluate the extent to which mobile payments, IT training, e-government platform adoption, and cyber security measures respectively affected the revenue collection among county governments in Kenya. Revenue collection in Kenyan counties remains a pressing concern, and technology is increasingly viewed as a potential solution to enhance efficiency and accountability. Unified theory of Acceptance and use of technology, Human capital theory, Diffusion of Innovation theory, Enterprise risk management theory reinforced the study. This study used descriptive research design and deployed primary data collection using a struc- tured questionnaire. Sampling was conducted using purposeful simple random sampling. The sampling frame comprises the staff dealing with revenue collec- tion, IT, and finance related to revenue collection in all the 47 counties under investigation. The analysis was done using R programming software. The findings reveal that while mobile payments offer convenience and accessibility, they do not show a statistically significant impact on revenue collection. In contrast, IT training for county staff and the adoption of e-government platforms positively correlate with improved revenue collection, underscoring the importance of oper- ational efficiency and streamlined digital service delivery. The study also finds that although cyber security is crucial for protecting sensitive data, it does not significantly influence revenue generation in the short term. These results suggest that counties should prioritize IT training and expand e-government platforms to enhance revenue collection effectiveness. Future research could explore longi- tudinal impacts, sector specific studies and cross analysis across counties for a more comprehensive understanding.

Keywords: Cyber security measures, E- Government platform adoption, Information Technology Training, Mobile payment, Revenue collection.

REFERENCES

  • Aamir, M., et al.: Revenue collection in developing countries. Journal of Economics (2011)
  • Balunywa, W., et al.: Challenges in revenue collection systems. Public Sector Finance Review (2014)
  • Bank, W.: Challenges in revenue collection in developing countries. World Bank Reports (2014)
  • Kamande, J.: Ict and revenue collection challenges. Kenya Revenue Journal (2014)
  • Ajala, O., Adegbite, M.: It and revenue collection efficiency. Journal of African Public Administration (2020)
  • Brun, J.-F., et al.: Ict readiness and tax mobilization in developing countries. World Bank Policy Papers (2020)
  • Wandaogo, R., et al.: Mobile payments and transparency in tax systems. European Journal of Tax Administration (2022)
  • Uyar, A., et al.: Digitalization and tax evasion: A comparative study. Global Tax Journal (2021)
  • Hwang, Y., et al.: It training and revenue collection in singapore. Asia-Pacific Tax Journal (2022)
  • Carter, L., et al.: E-filing adoption and cybersecurity concerns. Journal of E-Government (2011)
  • OECD: Revenue statistics in africa: South africa. OECD Tax Reports (2023)
  • Tanzania, G.: Revenue performance report 2022/2023. National Tax Reports (2023)
  • Lubinda, H.: Mobile payments and tax compliance in zambia. Zambian Revenue Studies (2024)
  • Asomba, E., et al.: E-government and revenue transparency in nigeria. African Governance Review (2024)
  • Ramsa1, F., et al.: It training gaps in zanzibar’s revenue systems. Journal of East African ICT Studies (2024)
  • Okunogbe, O., Pouliquen, V.: Cybersecurity and revenue administration. World Bank Policy Briefs (2022)
  • Maiyo, A., et al.: Cashless systems and revenue growth in kenya. Journal of African Economic Studies (2024)
  • Chege, P., et al.: It training and digital revenue collection. Nairobi University Journal of Economics (2020)
  • Maseru, T.: Cybersecurity training and tax systems. Kenya Journal of Digital Security (2020)
  • Njoroge, L.: Cybersecurity and revenue collection in kra. Tax Research Journal of Kenya (2019)
  • Melville, N., et al.: Information technology and organizational performance. MIS Quarterly (2004)
  • Amaglobeli, D., et al.: Digital tools for tax collection in emerging markets. IMF Working Papers (2023)
  • Luna, I.R., et al.: Defining mobile payments: A review. Mobile Commerce Review (2019)
  • Li’ebana-Cabanillas, F., et al.: The mobile payment revolution. Journal of Retailing and Consumer Services (2018)
  • Kang, J.: Understanding mobile payments: A conceptual framework. Finan- cial Technology Insights (2018)
  • Jocevski, M., et al.: Accessibility and mobile payments. Electronic Commerce Research (2020)
  • Iman, N.: Facilitation and compliance in mobile payments. International Journal of Financial Innovation (2018)
  • GMSA: State of the mobile industry report. GMSA Annual Review (2020)
  • Eksteen, M., Humbani, M.: Perceived risks in mobile payment adoption. South African Journal of Business Management (2021)
  • Saidu, M., et al.: Factors influencing mobile payment adoption in nigeria. African Journal of Information Systems (2023)
  • Odhoko, P.: The socioeconomic impact of m-pesa in kenya. Development Finance Journal (2021)
  • Mason, J.: Principles of government revenue collection. Public Finance Review 48(5), 661–678 (2020)
  • Mbui, G., Minja, D.: Corruption and financial mismanagement in county gov- ernment revenue collection. African Journal of Public Finance 7(1), 78–92 (2018)
  • Bahl, R., Bird, R.: Decentralized revenue collection systems: Challenges and opportunities. Public Finance Review 46(1), 34–58 (2018)
  • Balunywa, W., et al.: Role of revenue collection in public service delivery and economic development. Public Sector Economics 8(3), 120–133 (2014)
  • Ayana, D., et al.: The impact of revenue collection on economic growth in sub-saharan africa. African Economic Review 15(2), 67–89 (2023)
  • Tanzania, G.: Revenue collection and public spending report 2022/2023. Official Press Release (2023)
  • Mutua, F.: Tax systems under the constitution of kenya 2010. Kenya Law Review 9(1), 33–49 (2012)
  • Authority, K.R.: Annual revenue collection report 2023/2024 (2024)
  • Mwasaru, M.: Devolution and county governments in kenya. Governance Review 11(3), 45–60 (2020)
  • Ato Brown, K., et al.: Revenue collection and financial autonomy in kenyan county governments. Journal of Public Administration 12(4), 345–359 (2019)
  • Mbithi, P., et al.: Revenue management and service delivery in kenyan counties. Journal of Local Government Studies 14(2), 201–220 (2019)
  • Statista: Kenya county governments’ revenue collection performance 2022/2023. Statista Database (2024)
  • Manyasi, S.: Challenges in county government revenue collection. Kenya Economic Review 10(1), 112–125 (2012)
  • International, A.S.: Report on county government revenue collection chal- lenges in kenya (2018)
  • Dwivedi, Y.K., Rana, N.P., Jeyaraj, A., Clement, M., Williams, M.D.: Re- examining the unified theory of acceptance and use of technology (utaut): Towards a revised theoretical model. Information Systems Frontiers 21(3), 719–734 (2019)
  • Gupta, P., Arora, N.: Factors influencing the adoption of mobile payment systems. International Journal of Mobile Communications 17(1), 1–20 (2019)
  • Tamilmani, K., Rana, N.P., Nguyen, B., Gupta, B.: The unified theory of acceptance and use of technology (utaut): A literature review. Management Review Quarterly 71(3), 233–283 (2021)
  • Marginson, S.: Human capital theory and the knowledge economy. Economics of Education Review 72, 129–138 (2019)
  • Goldin, C.: Human capital and economic growth: An analysis of it training and productivity. Journal of Labor Economics 42(1), 45–70 (2024)
  • Mohammadi, H., Ramayah, T., Lo, M.-L.: Diffusion of innovation theory: A critical review. International Journal of Innovation Management 21(3), 1–23 (2017)
  • Dearing, J.W., Cox, J.G.: Diffusion of innovations theory, principles, and practice. Health Affairs 37(2), 183–190 (2018)
  • Miller, K.D.: A framework for integrated risk management in international business. Journal of International Business Studies 23(2), 311–331 (1992)
  • Ajupov, A., Kairat, K., Smagulov, A.: Enterprise risk management and cyber- security: An integrated approach. Journal of Risk Research 22(5), 601–615 (2019)
  • Paape, L., Spekl´e, R.F.: The limitations of enterprise risk management: A case study. Accounting, Organizations and Society 37(8), 559–576 (2012)
  • Fan, Y., Stevenson, M.: Risk management in complex systems: Challenges for enterprise risk management. International Journal of Production Research 56(22), 6907–6919 (2018)
  • Jocevski, A., et al.: Impact of mobile payment adoption on tax revenue effi- ciency in sweden. Journal of Public Finance XX(X), (2020) https://doi.org/ 10.xxxx/jpf.2020.xx
  • Wandaogo, B., et al.: Mobile payments and tax compliance in finland. Finland Tax Review XX(X), (2022)
  • Liu, Y., et al.: Effects of mobile payment systems on sales tax revenue in the united states. American Economic Journal XX(X), (2019)
  • Iman, R.: Mobile payment adoption and revenue collection in u.s. municipal- ities. Municipal Finance Journal XX(X), (2018)
  • Okunogbe, A., Santoro, F.: Technology adoption and tax collection efficiency in africa. African Economic Review XX(X), (2023)
  • Maiyo, J., et al.: Effect of cashless collection methods on revenue growth in uasin gishu county, kenya. Kenya Public Finance Review XX(X), (2024)
  • Limo, P., et al.: Mobile payments and revenue collection performance in nandi county, kenya. Kenya Revenue Studies XX(X), (2024)
  • Mukhwaya, T., et al.: Cashless revenue reforms and revenue collection in kenya. East African Public Finance XX(X), (2023)
  • Mwasaru, K.: Mobile payment systems and tax yield improvement at kenya revenue authority. Kenya Tax Journal XX(X), (2020)
  • Mugambi, N., Wanjohi, E.: Mobile money platforms and taxpayer compliance in kenya. African Journal of Taxation XX(X), (2018)
  • Yoon, S.: Impact of it training on tax compliance in south korea. Asian Journal of Tax Administration XX(X), (2020)
  • Hwang, J., et al.: Effect of continuous it training on revenue collection in singapore. Singapore Finance Review XX(X), (2022)
  • Gope, S., et al.: Gst revenue growth and it training in indian states. Indian Journal of Public Finance XX(X), (2018)
  • Ramsa1, M., et al.: It training and optimal use of tax technology in zanzibar. East African Tax Review XX(X), (2024)
  • Nyangito, H.: Training effects on organizational performance in nairobi county government. Kenya Public Administration Review XX(X), (2022)
  • Chege, L., et al.: Importance of it training for digital tool effectiveness in kenya. Kenya Digital Development Journal XX(X), (2020)
  • World Bank: Economic Review: E-government and Tax Compliance. World Bank Publications (2022)
  • Uyar, A., et al.: Digitalization of government services and tax evasion reduc- tion. International Journal of Public Sector Management XX(X), (2021)
  • United Nations Department of Economic and Social Affairs (UNDESA): E- government Survey. UN Reports (2020)
  • E-Estonia: Digital Governance and Revenue Collection Report. Government of Estonia Publications (2021)
  • Kochanova, A., et al.: E-filing, e-procurement and tax revenue in developing countries. World Bank Economic Review XX(X), (2020)
  • Asomba, N., et al.: E-governance and public revenue generation in nigeria. Nigerian Journal of Public Administration XX(X), (2024)
  • Oloyede, O.: E-governance and tax revenue collection in nigerian state internal revenue board. Nigerian Tax Journal XX(X), (2022)
  • Olusuyi, A., Yidiat, T.: itax system and tax compliance in nigeria. African Journal of Taxation XX(X), (2021)
  • Verkijika, S., De Wet, T.: E-filing systems and tax revenue in south africa. South African Journal of Finance XX(X), (2018)
  • Mokube, V., Eboni, A.: Comparative study of digital tax systems in rwanda and kenya. East African Public Finance Review XX(X), (2023)
  • Isaac, M., Lillian, K.: Automation and revenue collection in uganda. Uganda Public Finance Journal XX(X), (2010)
  • Olonde, P.: Effect of information technology on tax compliance: Evidence from kenya’s itax system. Kenya Tax Journal XX(X), (2019)
  • Economic Advisers, C.: The cost of malicious cyber activity to the u.s. economy. White House Report (2018)
  • Carter, L., Belanger, F., Schaupp, L.C.: The utilization of e-government ser- vices: Citizen trust, innovation and acceptance factors. Information Systems Journal 21(1), 5–25 (2011)
  • Hatfield, L.: Cybersecurity and the digital divide: A discursive analysis of ict development in africa. Journal of African Policy Studies (2018)
  • Bank, T.W.: Data governance and cybersecurity in africa. World Bank Reports (2023)
  • Eboibi, F., Richards, T.: Enhancing cybersecurity for effective e-taxation in africa. African Journal of Cyber Law (2019)
  • Okunogbe, O., Pouliquen, V.: Technology, taxation, and transparency: Evi- dence from a field experiment in nigeria. World Bank Policy Research Working Paper (2022)
  • Omosa, A.: Effect of cybersecurity investment on revenue collection efficiency at kenya revenue authority. Journal of Finance and Technology (2020)
  • Maseru, K.: Impact of cybersecurity training on revenue collection at kenya revenue authority. East African Journal of Management (2020)
  • Njoroge, W.: Cybersecurity measures and revenue collection at kenya revenue authority. International Journal of ICT Research (2019)
  • Gitau, R.: Cybersecurity of e-payments and the adoption of e-marketplaces: Evidence from kenyan universities. Kenya Journal of Business and ICT (2021)
  • Siedlecki, S.L.:    Understanding descriptive research designs. Clinical Nurse Specialist 34(1),  8–12 (2020) https://doi.org/10.1097/NUR.0000000000000493
  • Rahi, S.: Research design and methods: A systematic review of research paradigms, sampling issues and instruments development. International Jour- nal of Economics & Management Sciences 6(2), 1–5 (2017) https://doi.org/ 10.4172/2162-6359.1000403
  • Zhao, Y., Rausch, A.: Sampling techniques for social research. Journal of Statistics and Management Systems 22(6), 1021–1031 (2019) https://doi.org/ 10.1080/09720510.2019.1578966
  • FitzPatrick, E.: Validity and reliability in quantitative research. Research Essentials (2019)
  • Moon, K.H.: The use of cronbach’s alpha for measuring reliability. Journal of Business Research Methods 8(1), 1–8 (2019)
  • Daoud, J.: Multicollinearity and regression analysis. Journal of Physics: Con- ference Series 949, 012009 (2017) https://doi.org/10.1088/1742-6596/949/1/012009
  • Field, A.: Discovering Statistics Using IBM SPSS Statistics, 4th edn. SAGE Publications, ??? (2013)
  • Brooks, C.: Introductory Econometrics for Finance, 3rd edn. Cambridge University Press, ??? (2014)
  • Zach: How to Detect Multicollinearity in Regression Models (2020). https://www.statology.org/multicollinearity-regression/
  • Hair, J.F., Black, W.C., Babin, B.J., Anderson, R.E.: Multivariate Data Analysis, 7th edn. Pearson Education, ??? (2013)
  • Brooks, C.: Introductory Econometrics for Finance, 2nd edn. Cambridge University Press, ??? (2008)
  • Uyanto, S.: A simple guide to heteroscedasticity test in regression analysis using spss software. International Journal of Quantitative and Qualitative Research Methods 10(1), 1–11 (2022)
  • Poi, B.P., Klein, A.R.: Testing for heteroscedasticity in regression models. Stata Technical Bulletin 10(58), 27–32 (2001)
  • Cooper, D.R., Schindler, P.S.: Business Research Methods, 10th  edn. McGraw-Hill, ??? (2008)
  • Warner, R.M.: Applied Statistics: From Bivariate Through Multivariate Techniques. SAGE Publications, ??? (2008)
  • Wooldridge, J.M.: Introductory Econometrics: A Modern Approach, 5th edn. Cengage Learning, ??? (2012)
  • Yu, E.T.: Data cleaning and preparation using r. Journal of Data Science and Statistical Practice 4(2), 45–60 (2020)
  • Gagnon, M.-P.: Descriptive statistics in health research. Canadian Jour- nal of Nursing Research 53(1), 4–10 (2021)  https://doi.org/10.1177/08445621211002924
  • Keith, T.: Multiple regression and beyond: An introduction to multiple regression and structural equation modeling. Routledge (2019)