The success of a course offered by a university and the effectiveness of the instructors have commonly been measured by means of student evaluations. The feedback generated is typically used to identify instructors who need additional training, courses that need to be restructured or the need for financial rewards for those who excel. The principal objective of educating students is, knowledge, training and skills they can use and apply after graduating, regardless of the field of study. The perception of the Alumni about the extent of learning and the usefulness of the knowledge is a key measure for universities to assess their success. A service guarantee is defined as a formal promise made to customers about the service they will receive or it is a written promise made by the company through advertising or company literature that it will provide compensation if promises are broken. In order to ensure customer satisfaction in a service offering, the quality of service performance needs to be guaranteed. Many service industries promise a level of service performance, with or without conditions attached. Customer value is a complex concept as it is often interpreted with various meanings depending on the point of view adopted. A definition of customer value is the perceived value that the customer gains when purchasing a product or receiving a service. However, customer value can be used in a variety of contexts. The purpose of this research study is to measure the perception and satisfaction of Alumni of the Department of Computing Sciences and identify areas for improvement by performing a systematic analysis of the determinants of satisfaction. This research is an exploratory, quantitative study consisting of literature- and case-study components used to test proposed hypotheses. The literature study was performed on secondary sources to establish the key concepts related to the topics of Service Guarantee and Marketing, Stakeholder Theory, Customer-perceived Value and Alumni Perceptions. The empirical study consisted of surveys (questionnaires) completed by Alumni of the Department of Computing Sciences. The questionnaire used in this research consisted of questions regarding demographic data and questions regarding perceived perception of the Department of Computing Sciences and influencing factors. Descriptive statistics were used to summarise the data into a more compact form which could simplify the identification of patterns in the data. Inferential statistics were used to verify if conclusions made from the sample data could be inferred onto a larger population. Recommended university and teaching practices based on the statistical analysis of the survey results were identified. A model identified the following factors as having an influence on Alumni Satisfaction with the NMMU Department of Computing Sciences: Customer Satisfaction, Course Contents, Modern Technologies, Academic Staff, Admin. Staff, Departments, University Atmosphere and Perceived Value. The importance of each factor was identified to understand how to improve the Alumni perception. According to the inferential ranking of Alumni Satisfaction that ranks the factors on the average mean values, a factor that should be improved upon is the Alumni Network. Recommended improvements were suggested for the Department of Computing Sciences based on the statistical analysis of the survey results. Two sub-groups were defined by different levels of education and they were found to have different perceptions of the factors that were measured. It was shown that there are small and medium significant differences in only two of the factors of the proposed Alumni satisfaction model, distinguising through different levels of education. The Alumni Satisfaction model developed in this study specified the factors that influence Alumni Satisfaction with the Deptarment of Computing Sciences and the effect that each of these factors has on that satisfaction.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:nmmu/vital:28279 |
| Date | January 2017 |
| Creators | Glaum, Arthur Philip Martin |
| Publisher | Nelson Mandela Metropolitan University, Faculty of Business and Economic Sciences |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Thesis, Masters, MBA |
| Format | xiv, 176 leaves, pdf |
| Rights | Nelson Mandela Metropolitan University |
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