SUSTAINABLE CORPORATE SOCIAL RESPONSIBILITY AND SUPPLY CHAIN PERFORMANCE OF LEVEL FOUR HOSPITALS IN MOMBASA COUNTY, KENYA

Abstract

This study aimed to establish the effect of sustainable corporate social responsibility on supply chain performance of level 4 hospitals in Mombasa. It was guided by Systems Theory and Stakeholders Theory. The population consisted of 40 respondents, including the head of the hospital and the head of the supply chain function from each of the 20 level 4 hospitals in Mombasa. A census was used due to the manageable population size, achieving a 90% response rate, which is considered exceptional for the study's validity. A descriptive research strategy was employed and it included a survey of twenty Level 4 hospitals. Data was gathered through questionnaires. Regression analysis was also used to determine the extent to which the study's variables were related to one another. The study established strong validity and reliability for the questionnaire used, with all constructs achieving content validity ratios above the threshold of 0.72 and a Kaiser-Meyer-Olkin index of 0.821, confirming construct validity. Additionally, Cronbach's Alpha values for all constructs were above 0.700, indicating high reliability and consistency in measuring sustainable supply chain management practices. The study found out that Sustainable Corporate Social Responsibility (CSR) has a significant positive impact on the supply chain performance of Level 4 hospitals in Mombasa. The strong agreement among respondents on various CSR-related aspects indicates active involvement in sustainable practices. However, there is room for improvement in managerial commitment to CSR. The study concluded that while there's a proactive commitment to sustainability in healthcare supply chains, leadership engagement and communication must be enhanced for consistent CSR implementation. Recommendations were made for policy makers, theorists, and healthcare practitioners to promote and strengthen CSR initiatives in the healthcare sector