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

STEPHEN MAINA KARIUKI, MARK SUVA, PhD
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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
风险识别对肯尼亚税收机关税收绩效的影响
本研究评估了识别风险对肯尼亚税务局征收国家税收绩效的影响。这项研究的最终目的是让决策者和学者在同样的问题上受益。该研究的时间框架是从2018年到2022年。这项研究以利益相关者理论为基础。本研究采用描述性研究方法,从人口3906名KRA员工。共有294名地区代表采用分层抽样、目的抽样和判断抽样的混合方法进行抽样。向KRA的代表提供了一份根据研究目标编制的调查问卷。为了保证高的回复率,问卷采用丢取法。分两步对数据进行编码和检查。第一阶段采用验证性因子分析,第二阶段采用结构回归方程模型。使用lavaan编程语言中的R对即将发生的原始数据进行编码和统计分析。在无线性假设下,采用结构方程模型方法对数据进行分析,具体识别验证性因素结构,然后以多元回归的形式建立测量模型。采用正态性、模型识别状态检验、多重共线性和拟合检验的模型拟合诊断方法对模型进行诊断。这是通过标准化所有协方差来实现的。作为伦理考虑的一部分,研究人员通过向受访者保证最大程度的保密并向他们出示NACOSTI的授权书,与受访者建立了融洽的关系。从研究结果来看,风险识别对国家税收征收中的KRA绩效有显著的积极影响。本研究提出的政策建议是,KRA可以通过开发协调风险识别实践应用的潜力来提高税收绩效。关键词:税收,风险识别,KRA,税收引用:Kariuki, s.m, &苏瓦,M.(2023)。风险识别对肯尼亚税收机关税收绩效的影响。商业战略杂志;变革管理,10(4),41 - 47。http://dx.doi.org/10.61426/sjbcm.v10i4.2733
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