Orientation: The safety of any natural being with respect to the processing of their personal information is an essential human right as specified in the Zimbabwe Data Protection Act (ZDPA) bill. Once enacted, the ZDPA bill will affect universities as public entities. It will
directly impact how personal information is collected and processed. The bill will be fundamental in understanding the privacy perceptions of students in relation to privacy awareness, privacy expectations and confidence within university. These need to be understood to give guidelines to universities on the implementation of the ZPDA.
Problem Statement: The current constitution and the ZDPA are not sufficient to give organisations guidelines on ensuring personal information privacy. There is need for guidelines to help organisations and institutions to implement and comply with the provisions
of the ZDPA in the context of Zimbabwe. The privacy regulations, regarded as the three concepts (awareness, expectations and confidence), were used to determine the student perceptions. These three concepts have not been researched before in the privacy context
and the relationship between the three concepts has not as yet been established.
Research purpose: The main aim of the study was to develop and validate an Information Privacy Perception Survey (IPPS) diagnostic tool and a Student Personal Information Privacy Perception (SPIPP) model to give guidelines to universities on how they can implement the ZDPA and aid universities in comprehending student privacy perceptions to safeguard personal information and assist in giving effect to their privacy constitutional right.
Research Methodology: A quantitative research method was used in a deductive research approach where a survey research strategy was applied using the IPPS instrument for data collection. The IPPS instrument was designed with 54 items that were developed from the
literature. The preliminary instrument was taken through both the expert review and pilot study. Using the non-probability convenience sampling method, 287 students participated in the final survey. SPSS version 25 was used for data analysis. Both descriptive and inferential statistics were done. Exploratory factor analysis (EFA) was used to validate the
instrument while confirmatory factor analysis (CFA) and the structural equation modelling (SEM) were used to validate the model.
Main findings: diagnostic instrument was validated and resulted in seven new factors, namely university confidence (UC), privacy expectations (PE), individual awareness (IA), external awareness (EA), privacy awareness (PA), practice confidence (PC) and correctness expectations (CE). Students indicated that they had high expectations of the university on privacy. The new factors showed a high level of awareness of privacy and had low confidence in the university safeguarding their personal information privacy. A SPIPP
empirical model was also validated using structural equation modelling (SEM) and it indicated an average overall good fit between the proposed SPIPP conceptual model and the empirically derived SPIPP model
Contribution: A diagnostic instrument that measures the perceptions (privacy awareness, expectations and confidence of students) was developed and validated. This study further contributed a model for information privacy perceptions that illustrates the relationship
between the three concepts (awareness, expectations and confidence). Other universities can use the model to ascertain the perceptions of students on privacy. This research also contributes to improvement in the personal information protection of students processed by
universities. The results will aid university management and information regulators to implement measures to create a culture of privacy and to protect student data in line with regulatory requirements and best practice. / School of Computing / Ph. D. (Information Systems)
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:unisa/oai:uir.unisa.ac.za:10500/27557 |
| Date | 05 1900 |
| Creators | Maguraushe, Kudakwashe |
| Contributors | Veiga, Adéle da, Martins, Nico |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Format | 1 online resource (xviii, 365 leaves) : illustrations, graphs (chiefly color), application/pdf |
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