Thesis: Influence of e-inventory management systems on Performance of supermarkets in Nairobi county, Kenya
Authors
Stephanie Kadaji MudanyaAbstract
Inventory management is pivotal in an effective and efficient organization. Due to its numerous advantages for both the businesses using them and the entire supply chain, e-inventory systems have been a quickly expanding trend that is being accepted by the majority of nations. Regardless of the organization's size or range of influence, it applies to all organizations. This study seeks to investigate the impact of electronic inventory management systems on supermarket performance in Nairobi County, Kenya. This study specifically aims to determine influence of bar coding, radio frequency identification, electronic data interchange and cloud computing on performance of supermarkets in Nairobi County, Kenya. This study is anchored on Theory of Technology Adaption and Diffusion, Instrumentalism Theory of Technology and Resource-Based View. Descriptive cross-sectional survey research design was adopted. The unit of observation were the employees working at corporate, business and functional levels of four supermarkets in Nairobi County namely Skymart, GreenMart, Mathais and East Matt supermarkets. Study targeted all employees of four supermarkets since they cater to broader needs with their extensive inventory. The sample was the senior employees working at corporate, business and functional levels of the four supermarkets in Nairobi County. The sample respondents included chief executive officer, operations manager, marketing manager, human resources manager, strategic manager, IT manager Finance manager, procurement manager, Quality assurance manager, General Manager, Diaspora extension manager and Branch service manager arriving at a sample of 48 respondents. This study adopted purposeful sampling where specific population was studied. A questionnaire was used to collect primary data. The questionnaire was first be checked and tested for validity and reliability. The data collected was analyzed through descriptive statistics and regression analysis with the help SPSS software version 25. Pilot results showed a reliability test of a Cronbach’s Alpha coefficient between 0.9820 and 0.855. Validity was established through expert review. The findings revealed bar coding, radio frequency identification, electronic data interchange and cloud computing account for 51% variation in performance of supermarkets in Nairobi County, Kenya. It was further revealed that Barcoding, RFID, electronic data interchange, and cloud computing were significant predictors of supermarkets’ performance. This study concluded that barcoding enhanced operational efficiency and enabled management to make informed decisions based on analyzed data, thus significantly boosting overall performance. On the same note RFID improved product tracking, reduced losses, and optimized transportation and routing. Additionally, RFID data was used for decision-making, and its implementation was associated with cost reductions over time, thereby enhancing supermarket performance in the region. Further, this study established that EDI facilitates better communication among vendors, employees, and customers, promotes shorter lead times, and minimizes operational errors which resulted in improved efficiency and effectiveness, positively influencing the performance of supermarkets in Nairobi County. Finally, this study established that cloud computing allows for substantial data storage, easy access to data, and improved management decision-making which significantly influenced the performance of supermarkets.
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