RP-Department of Management Science

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https://repository.ku.ac.ke/handle/123456789/8049

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Browsing RP-Department of Management Science by Subject "Adoption"

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    Adoption of Enterprise Resource Planning Systems in Kenya: A Case of Selected Manufacturing Firms in Nairobi Metropolitan
    (Center for Promoting Ideas, USA, 2015) Nzuki, D. M.; William Okelo-Odongo
    Although the manufacturing sector in Kenya faces low productivity levels, stiff competition and high production costs, firms are still using inefficient technology. Enterprise Resource Planning (ERP) system can enhance efficiency through integration and sharing of business processes in real-time. This study was done to determine factors that influence ERP adoption among corporate members of Kenya Association of Manufacturers (KAM) that operate within the Nairobi Metropolitan. Questionnaires were administered to 141 KAM members whereas 17 ERP firms were interviewed. Logit model was used to estimate the influence of the factors on ERP adoption. Organizational composite factor was found to be an important factor, whereas the planned change, business environment and ERP attributes factors were weak predictors of ERP adoption. The findings will benefit scholars, government, vendors and users of ERP system. Further research was recommended to investigate the weak factors
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    Determinants of Smartphones Adoption and Use at Kenya Airport Police Unit, Kenya
    (IJRBS, 2023) Sila, Benedict Musili; Mutuku, Morrisson Kaunda
    The Kenya Airport Police Unit has started using smartphones to deter crime, but there are still reservations about their potential impact on policing. The study sought to identify the factors that influence police officers' adoption and use of smart phone applications for crime prevention. The police officers assigned to the Kenya Airport Police Unit (1382) were the study's target group. For this study, a sample of 274 police officers was selected using a simple random sampling approach. The study was guided by the Mobile Technology Acceptance Model (M-TAM), which discovered that smartphones were useful instruments for crime prevention. Police officers discovered that programs such as Facebook, WhatsApp, Twitter, emails, and short text messages helped to prevent crime. The study suggests that tailored police smart phone applications be developed, as well as officer capacity training, to improve their utilization and help to crime prevention efforts.