EFFECT OF IDENTIFYING RISK ON PERFORMANCE OF KENYA REVENUE AUTHORITY IN COLLECTION OF TAX REVENUE IN KENYA

STEPHEN MAINA KARIUKI, MARK SUVA, PhD

Abstract


This study assessed the effect of identifying risk on performance of Kenya Revenue Authority in collection of national revenue in Kenya. The ultimate intention of the study was to benefit policy makers and academicians in the same quest. The study's time frame was from 2018 to 2022. The study was anchored on stakeholder theory. The study adopted a descriptive research method, from a population of 3906 KRA employees. A total of 294 divisional representatives were sampled using a mix of stratified, purposive and judgmental sampling. To the representatives of KRA there was a survey questionnaire structured according to the objectives of the study. The questionnaire was presented on a drop- and-pick method in order to ensure high response rate. In two steps, the data was coded and examined. In the first stage there was confirmatory factor analysis, the second stage was structural regression equation model. The imminent primary data was coded and analyzed statistically using R in lavaan programing language. Under the assumption of no linearity the data was analyzed using the structural equation model methodology to specifically identify the confirmatory factor structure followed by a measurement model in the form of multiple regression. The model was diagnosed using normality, model identification status testing, multicollinearity and model fit diagnostics of fit test. This was done by standardizing all the covariances. As part of ethical consideration the researcher created rapport with the respondents by assuring them of utmost confidentiality and presenting them with an authorization letter from NACOSTI. From the findings, risk identification had significant positive effects on KRA performance in national revenue collection. Policy recommendations from this study was that KRA can improve revenue collection performance by exploiting the potential in harmonizing the application of risk identification practices.

Key Words: Revenue Collection, Risk Identification, KRA, Taxation

CITATION: Kariuki, S. M., & Suva, M. (2023). Effect of identifying risk on performance of Kenya Revenue Authority in collection of tax revenue in Kenya. The Strategic Journal of Business & Change Management, 10 (4), 41 – 47. http://dx.doi.org/10.61426/sjbcm.v10i4.2733


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References


Adeyeye, G. B. (2019). Improving tax administration through technology innovation in Nigeria (A Study of Federal Inland Revenue Service). Annals of Spiru Haret University. Economic Series, 19(1), 31-64.

Alhaji, K., Yakubu, A. & Abdallah, A. (2020). The Impact of Risk Management on Organizational Efficiency in Plateau State Inland Revenue Service. International Journal of Social Sciences and Management Research, 6 (5).

Al-Khalifa, M. M. (2016). The impact of strategic alignment on the performance of public organisations (Doctoral dissertation, Brunel University London).

Al‐Tamimi, H. A. H., & Al‐Mazrooei, F. M. (2007). Banks' risk management: a comparison study of UAE national and foreign banks. The journal of risk finance.

Anamanjia, S., & Maina, R. (2022). Strategic alignment and performance of Kenya Revenue Authority. International Academic Journal of Innovation, Leadership and Entrepreneurship, 2(2), 297-338.

Ayenew, W. (2016). Determinants of tax revenue in Ethiopia (Johansen co-integration approach). International Journal of Business, Economics and Management, 3(6), 69-84.

Bekele, B. (2015). The Nexus between Bank Specific Risk Management Practice and Financial Performance: A Study on Selected Commercial Banks in Ethiopia. Available at SSRN 2841206.

Cacho, C., PC, V., Reyes, A. C. S., & Dumlao, T. R. (2019). Philosophy and Objectives as KRA (Key Results Area): An Indicative of Sustainable Program Accreditation. Institutional Multidisciplinary Research and Development Journal (IMRaDJournal) Retrievedfrom: https://www. academia. edu/3, 9681197.

Gwaro, E. N. (2019). Corporate Structure and Revenue Collection by Kenya Revenue Authority In Nairobi, Kenya (Doctoral Dissertation, Kenyatta University).

Kaliti, George (2014). The effect of Risk Management practices on performance of firms in the hospitality industry in Nairobi County, Kenya. Master’s degree thesis. University of Nairobi Online Repository.

Kigen, S. J., & Ndegwa, P. (2021). Corporate Governance Practices and Performance of Kenya Revenue Authority, Nairobi County. International Journal of Business Management, Entrepreneurship and Innovation, 3(3), 82-102.

Kinyua, J.K., Gakure, R., Gekara, M. & Orwa, G. (2015). Effect of risk management on the financial performance of companies quoted in the Nairobi Securities Exchange. International Journal of Business & Law Research 3(4):26-42.

Kipkorir, David K. & Maina, Samuel (2022). Enterprise Risk Management and Organizational Performance: Case Study of SC Johnson and Son Kenya Limited. International Journal of Current Aspects in Banking, Finance and Accounting, 4 (1).

Obiero, J. O., & Genga, P. (2018). Strategy implementation and performance of Kenya Revenue Authority. International Academic Journal of Human Resource and Business Administration, 3(3), 15-30.

OECD (2014), Risk Management and Corporate Governance, Corporate Governance, OECD Publishing. http://dx.doi.org/10.1787/9789264208636-en

Omondi, J. A., & Theuri, J. M. (2019). Effect of taxpayer awareness and compliance costs on tax compliance among small scale traders in Nakuru town, Kenya'. International Academic Journal of Economics and Finance, 3(3), 279-295.

Owuor, J. (2010). Analysis of risks that affect value added tax revenue collection by Kenya Revenue Authority (Doctoral dissertation, University of Nairobi, Kenya).




DOI: http://dx.doi.org/10.61426/sjbcm.v10i4.2733

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