RP-Department of Management Science

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Browsing RP-Department of Management Science by Author "Chege, Perris"

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    Data Analytics and Organizational Performance of Kenya Civil Aviation Authority
    (Research Bridge Publisher, 2023-12) Apondi, Odula Linda; Chege, Perris
    Organizational performance, a pivotal metric determining its sustainability and standing among stakeholders and shareholders, was the focal point of investigation in this study within the Kenya Civil Aviation Authority (KCAA) and its relationship with data analytics. Four specific objectives were established: to evaluate the impact of descriptive analytics on KCAA's organizational performance; to assess the influence of prescriptive analytics on the same; to understand the relationship between predictive analytics and KCAA's organizational performance; and to scrutinize the effect of diagnostic analytics on KCAA's organizational performance. The study drew upon three established theoretical frameworks: the Resource-Based View (RBV), the Technology Acceptance Model (TAM), and the Schumpeterian Innovation Theory. The research encompassed 1400 technical and operational staff across KCAA's headquarters in Nairobi, Moi International Airport in Mombasa, and Jomo Kenyatta International Airport in Nairobi, along with airline operators and pilots. A pilot study, conducted with 30 respondents, ensured the reliability and validity of the research instrument. Reliability tests yielded a Cronbach alpha coefficient averaging 0.79, indicating strong reliability, while validity tests confirmed the instrument's validity, with Average Variance Extracted (AVE) values surpassing the 0.5 threshold. The primary study involved 300 randomly selected participants, utilizing questionnaires for data collection. Both descriptive and inferential statistics were employed for data analysis, revealing a strong positive correlation among variables. Specifically, various types of data analytics displayed positive significance: Descriptive Analytics (β = 0.133, t = 2.046, p < 0.05), Prescriptive Analytics (β = 0.198, t = 3.146, p < 0.05), Diagnostic Analytics (β = 0.190, t = 3.089, p < 0.05), and Predictive Analytics (β = 0.120, t = 1.961, p = 0.05). Diagnostic tests affirmed the absence of multi-collinearity, data normality, and heterogeneous data. Respondents collectively acknowledged the significant impact of data analytics on KCAA's organizational performance, with the study concluding that KCAA had not fully leveraged data analytics, leading to the recommendation of a policy framework prioritizing their ongoing big data ICT initiatives, and advocating for regular implementation of diagnostic analytics to enhance aviation performance, employee engagement, and overall organizational success.
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    Green Procurement Practices and Supply Chain Performance of Food and Beverage Processing Firms in Nairobi City County, Kenya
    (EdinBurg, 2024-07) Wambui, Sinaida Mary; Chege, Perris
    The primary aim of this study wastoestablish the relationshipbetween green procurement practices and food and beverage processing firms’supply chain performance in Nairobi City County, Kenya.This research employedcross-sectional descriptive research designs. A total of 217 food and beverage processing businesses in Nairobi City County, Kenya, was thetarget. Stratified random sampling was used to choose a representative sample of 108 companies. Using a drop and pick-later approach, a structured questionnaire was used to collect the primary data. 15 processing companies from nearby Kiambu County participated in a pilot study that the researcher used to evaluate the validity and dependability of the research tool. An internal consistency method with a coefficient of 0.7 or above was considered reliable using Cronbach's Alpha. A diagnostic examination was conducted. Both descriptive and inferential statistics were applied to the data analysis. The mean, percentage, and standard deviations of the data were displayed. To analyze the data, inferential statistics were employed.There is a strong and positive correlation between green procurement methods and supply chain performance. The results confirmed that the variable's P-value was 0.000, R2 = 0.446, β = 0.152, and t = 2.503.According to the study's findings, the majority of Nairobi City County's food and beverage processing companies have embraced green procurement strategies. The research indicates that the processing industry used green procurement extensively in a number of ways, including green specification, cost-cutting, eco-friendly products, environmental policy, green-designed products, environmental impacts, environmental awareness seminars, and the purchase of hard-to-dispose-of items. Therefore, the study concludedthat processing firms must heavily invest in green procurement methods with regard to sustainable procurement practices to improve supply chain performance. Organizations should implement rules that prioritize the best green procurement practices. These include procuring products with greenspecifications and areeco-friendly, the firm to develop an environmental policy, the firm to reduce its environmental impacts in terms of energy conservation and conduct environmental awareness seminars.
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    Procurement Management Practices and Performance of Selected Supermarkets in Nairobi City County, Kenya
    (International Journal of Management and Commerce Innovations., 2024) Sigore, Grace Kairo Letimorit; Chege, Perris
    This study ascertained how procurement management practices, specifically supplier relationship management, inventory management, contract management, and e-procurement adoption management affected performance of supermarkets in Nairobi City County, Kenya. The variables selected were supported by stakeholder, resource-based view, and system theories. Descriptive design was deployed during the investigation. The population targeted comprised of 94 registered large and medium supermarkets in Nairobi County. The participants included procurement managers and officers at all 94 supermarkets in Nairobi City County composed of 282 participants. The survey employed all 282 participants utilizing census technique as the size of the sample. Utilizing questionnaires, primary data was acquired. Outcomes of the investigation displayed that Supplier Relationship Management practices significantly in a manner that is positive (β = 0.202) affects supermarkets performance in Nairobi City County, Kenya; inventory management practice positively (β = 0.185) affect performance of the supermarkets; contract management practice positively (β = 0.135) but affected the performance insignificantly of the supermarkets; while e-procurement adoption significantly affected supermarkets performance in a positive (β = 0.299) manner. The survey recommends that management of supermarkets should enhance their supplier management to boost the supermarkets performance. This would allow for building of a stronger relationship with the suppliers thus cutting down cost as a result of discounting fees.