https://repository.cuk.ac.ke/handle/123456789/562 SBE 2026-07-25T02:02:16Z https://repository.cuk.ac.ke/handle/123456789/1993 Goal Setting in Appraisals and Employee Productivity Chepkonga, Marsella.; Mugaa, Lucinda; Wekesa, Argan Goal setting within performance appraisals is an important component of employee performance management. Drawing from Goal-Setting Theory (Locke & Latham, 2019), this study investigated the influence of goal setting during appraisals on employee productivity in Kenya. A descriptive research design was employed, targeting 385 respondents drawn from academic and administrative staff in public universities within the Nairobi metropolitan area, including the University of Nairobi, Kenyatta University, Moi University (satellite campus), and Egerton University (satellite campus). Data were collected using structured questionnaires. Descriptive statistics and regression analysis revealed that goal setting had a positive and statistically significant effect on employee productivity, where specific, measurable, achievable, relevant, and time-bound (SMART) goals were linked to increased motivation and improved work outcomes (Mutuku & Njoroge, 2022). The findings underscore the importance of integrating goal setting into performance appraisal systems to enhance employee productivity (Nyaga, 2023). A research article published in The International Journal of Business Management and Technology. 2025-10-10T00:00:00Z https://repository.cuk.ac.ke/handle/123456789/1992 Relationship Between Training Needs Assessment and Employee Performance Among the Customer Care Agents at Airtel Limited Call Center Odhiambo, Adeline Achieng’; Gitari, James; Mugaa, Lucinda; Nyambane, Hosea Geteri This study aimed at investigating training needs assessment on employee performance among the customer care agents at Airtel Limited call center. The study employed a quantitative research design and collected data from 200 employees using structured questionnaires. 155 questionnaires were returned and 45 were not returned. The study employed both descriptive and inferential statistics to analyze the data. Descriptive statistics summarized the distribution of scores using measures of central tendency, variability, and distribution. Data collected from participants was coded correctly and analyzed with the Statistical Package for the Social Sciences (SPSS). Pearson correlation and Regression analysis were used to examine the relationship between the independent and dependent variables. Pearson correlation analysis indicated that training needs assessment had a correlation of ) with employee performance, suggesting a strong and significant relationship. In the regression analysis, Training Needs was a significant predictor of Employee Performance, with a standardized coefficient (Beta) of and a p-value of . The study found that conducting a thorough training needs assessment has a positive effect on employee performance. Organizations that properly assess the training needs of their employees are able to provide targeted, relevant training that leads to better job satisfaction, commitment, and performance. It is recommended that Airtel Kenya should continue to invest in comprehensive training needs assessments to ensure that training programs are tailored to address the specific skills gaps and development needs of employees. A research article published in the Stratford Journals. 2025-11-03T00:00:00Z https://repository.cuk.ac.ke/handle/123456789/1986 Agile supply chain strategies and procurement performance of state coorporations in transport sector,Kenya. Mwendwa, Mawia Yvonne; Nteere, Kirima Kennedy This study examined the effect of agile supply chain strategies on procurement performance of state corporations in Kenya’s transport sector. Despite procurement reforms, many state corporations face persistent inefficiencies, including project delays, cost overruns, and supplier underperformance, mainly due to limited supply chain visibility, rigid procurement systems, poor market responsiveness, and weak internal process integration. Notable examples include procurement-related losses by Kenya Airports Authority and delays within Kenya Railways Corporation. These challenges necessitated exploring agile strategies to enhance procurement outcomes. The general objective of the study was to determine the effect of agile supply chain strategies on procurement performance. Specifically, the study aimed to assess the influence of market sensitivity, and process integration on procurement performance. The study was guided by Market Orientation Theory and Resource-Based View (RBV). A descriptive survey design was adopted, targeting a census of 108 procurement staff from state corporations in the transport sector. Data was collected using a structured questionnaire designed around the study variables. A pilot test involving 11 respondents was conducted to assess the instrument’s validity and reliability using Cronbach’s Alpha and AVE analysis. Data was analyzed using descriptive statistics (means and standard deviations) and inferential statistics (Pearson’s correlation and multiple linear regression) with diagnostic tests for multicollinearity, normality, and heteroscedasticity. The findings revealed that all agile supply chain strategies had a positive and statistically significant effect on procurement performance. Process integration (β = 0.398, p = 0.000) had the greatest influence, followed by market sensitivity (β = 0.364, p = 0.000). The study concludes that adopting agile supply chain strategies—particularly enhancing process integration and market responsiveness—significantly improves procurement performance. It recommends investing in market monitoring, and strong inter-departmental integration. These findings contribute to supply chain literature and offer practical recommendations for policy and procurement reform in Kenya’s public transport sector. A research article published in the International Journal of Social Sciences Management and Entrepreneurship (IJSSME). 2025-04-01T00:00:00Z https://repository.cuk.ac.ke/handle/123456789/1976 Loan Portfolio Risk and Capital Adequacy in Kenya’s Deposit- Taking Savings and Credit Cooperative Societies: Implications for Financial Stability and Inclusive Growth Maina, Justus Nderitu Deposit-Taking Savings and Credit Cooperative Societies (DT-SACCOs) constitute a pivotal segment of Kenya’s financial system by fostering domestic savings, facilitating affordable credit access, and advancing financial inclusion, particularly among underserved populations. Despite this critical role, concerns have intensified over the sector’s financial resilience due to escalating levels of loan portfolio risk, persistent regulatory non-compliance, and eroding capital adequacy ratios (CAR). These vulnerabilities have been exacerbated by the absence of a lender of last resort, thereby exposing member deposits to elevated systemic risk and constraining the flow of credit to key productive sectors—including micro, small, and medium enterprises (MSMEs), agriculture, and affordable housing. Such constraints are increasingly viewed as impediments to the Bottom-Up Economic Transformation Agenda and to Kenya’s broader commitments under the Sustainable Development Goals, particularly those concerning poverty eradication, decent employment, and industrial development. To investigate the interplay between loan portfolio risk and capital adequacy, a positivist research philosophy and a descriptive cross-sectional design were employed. The target population comprised all 174 licensed DT-SACCOs in Kenya. A simple random sampling technique was used, and a 96.5% response rate was achieved. Data were extracted from audited financial statements through a structured collection instrument and analysed using linear regression techniques. Empirical results indicated a statistically significant positive association between loan portfolio risk and capital adequacy (β = 0.0569, p = 0.012), suggesting that increased risk exposure may prompt DT-SACCOs to strengthen capital buffers, either through regulatory compulsion or institutional prudence. It is recommended that DT-SACCOs adopt advanced credit risk mitigation strategies, including AI-enabled credit scoring systems, predictive early warning indicators, and operational automation via chatbots to enhance real-time monitoring and reduce manual error. Emphasis is also placed on the adoption of forward-looking metrics such as expected credit losses (ECL) and scenario-based stress testing under the IFRS 9 framework. Regulatory bodies are urged to enhance supervisory guidance and support financial literacy initiatives among members. Furthermore, capacity building, the promotion of digital loan syndication models, and collaborative risk-sharing frameworks are proposed to fortify capital adequacy, enhance institutional resilience, and ensure long-term sectoral stability. An article published in the Journal of Accounting, Finance and Auditing Studies. 2025-06-24T00:00:00Z