The application of project management tools and techniques in ICT SME projects in Western Cape

Thesis (MTech (Business Administration))--Cape Peninsula University of Technology, 2017.Introduction The research looked at the application of project management tools and techniques in ICT SME projects in the Western Cape. Problem Statement Previous literature revealed that small to medium enterprises (SMEs) are vital to developing economies as they provide employment and contribute to overall sustainable economic productivity. Literature further alludes that project management tools and techniques enhance SME’s ability to innovate, grow and compete in industry. However, it is unclear if ICT SMEs in Western Cape are applying project management tools and techniques in their projects. Therefore, this study aimed to investigate whether ICT SMEs in Western Cape applied these tools and techniques in their projects. Aims / Objectives The primary objective of the research was to determine the extent to which ICT SMEs in Western Cape were using project management tools and techniques. The secondary research objectives were: to determine the extent to which ICT SMEs in Western Cape knew about the project management tools and techniques and how to use them; to establish the extent to which the ICT SMEs knew the benefits of using project management tools and techniques; and to determine the extent to which project management tools and techniques were used by SMEs to achieve success. Methodology The research was non experimental. An electronic questionnaire was distributed using Survey Monkey and Mail Chimp to collect responses. Some questionnaires were hand delivered to ICT SMEs based in the Cape Town CBD areas accessible to the researcher. The results presented in the research were based on a survey of ICT SMEs, located in Western Cape. Out of the 341 responses targeted a total of 210 responses were obtained. The results obtained represent 60- 70% of the population interviewed. The sample was chosen using stratified random sampling that classified the respondents according to organisational hierarchy, and the amount per strata was noted. The respondents within each stratum were chosen using simple random sampling thus eliminating bias