Please use this identifier to cite or link to this item: https://etd.cput.ac.za/handle/20.500.11838/3927
Title: Success factors in the digitalization of logistics projects at a selected fast moving consumer goods firm in Cape Town
Authors: Mtirara, Oneziwe 
Keywords: Business logistics -- Technological innovations;Business logistics -- Information technology;Supply and demand -- Digitization;Consumer goods -- Digitization;Customer satisfaction
Issue Date: 2022
Publisher: Cape Peninsula University of Technology
Abstract: The purpose of this research is to determine the importance of the strategic selection of projects and successfully implementing logistics projects in an FCMG organization in Cape Town. The process of designing and executing efficient transportation and storage of goods from point of origin to point of consumption is known as logistics. Logistics' purpose is to meet client needs in a timely and cost-effective manner. This study investigates the measures of success factors in the digitalization of logistics projects. According to the research, digitalization is altering the world of work, and acquiring digital skills has now become a must for personal, industry, and geographical success. People's way of working is changing as organizations deploy digital technologies, which in this sense means computers and other information technology. In practice, as the enterprise becomes customer-driven end-to-end, digital transformation necessitates the organization's ability to cope effectively with change in general, ultimately making change a core skill. Continuous digitization initiatives will benefit from such agility and organizations will have a competitive advantage in this way. The research utilized descriptive and correlation research techniques, and the study sample was taken from a large organization under the Supply chain and Logistics departments in Cape Town. The sample size was 100 employees, and the study used a simple random sampling technique. Questionnaires were utilized to collect data for the study. Quantitative data were analysed using an excel data analysis program, and data was displayed utilizing geometric techniques such as line graphs, bar graphs, and pie charts.
Description: Thesis (MTech (Business Administration in Project Management))--Cape Peninsula University of Technology, 2022
URI: https://etd.cput.ac.za/handle/20.500.11838/3927
Appears in Collections:Management and Project Management - Masters Degrees

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