Browsing by Author "Pollock, Michael A"

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    A comparison of alternative technology adoption models : the adoption of a CASE tool at a university
    (2004) Pollock, Michael A; Eccles, Mike
    In a field such as that of Information Systems the emergence of new technologies is one of the only constants. It is therefore necessary, indeed vital, to be able to measure, as well as anticipate, the adoption and diffusion of these new technologies into organisations. For this purpose adoption models came to the fore. Such models include the Technology Acceptance Model (TAM) (Davis, 1989), the Technology Acceptance Model 2 (T AM2) (Venkatesh & Davis, 2000), the Decomposed Theory of Planned Behaviour (DTPB) (Taylor & Todd, 1995b), and the Perceived Characteristics of Innovating model (PCI) (Moore & Benbasat, 1991). Adoption models test the perceptions and attitudes of potential and actual adopters of a new technology. Although all of the adoption models test adoption of a new technology, each tests different aspects of this adoption. Through the comparison of the four adoption models mentioned above, this study determines which constructs mostly strongly explain the adoption of a CASE tool by university students. These constructs are then combined to form a new technology adoption model, the Perceived Characteristics of Technology Adoption CPCTA), which is tested and found to explain a significant degree of variance in the context of CASE tool adoption amongst students at a university.
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    Factors influencing the decision to adopt an Information Technology Risk Management framework at universities in South Africa
    (2017) Seale, Tina; Pollock, Michael A
    The purpose of this research is to identify the main factors influencing universities in South Africa to adopt specific Information Technology Risk Management (ITRM) frameworks. The research has been conducted to understand why universities adopt different ITRM frameworks. The sample group of universities used in this research comprise four public universities in the Western Cape, South Africa. To gain further insights into the decision-making process, an interpretivist philosophy, using a deductive approach, has been used. Roger's Diffusion of Innovation theory is used as a lens to understand the decision-making process to adopt an ITRM framework at universities. A combination of questionnaires, interviews and secondary data has been used to collect data from the sample of universities. The findings establish that inconsistent ITRM frameworks have been adopted at the participating universities. Numerous factors, both internal and external to the university, influence the decision-making process. Internal factors which have had a strong influence on the adoption of an ITRM encompass the attitude of decision makers, strong corporate governance and strong leadership in top management and within the IT department. External factors with the strongest influence on the decision-making process are contained within the legislative and statutory requirements mandated by the Higher Education Act 101 of 1997. Additional external factors influencing choice are certain regulatory requirements as well as the perceived popularity of certain frameworks. The recommendation of external parties is often closely considered when determining framework fit and adaptability to a university's environment. The sample group of universities has been limited to four public universities within the Western Cape. As a consequence, the data collected is limited due to minimal participation across all participating universities. Further research, such as case studies, is recommended in order to gain additional in-depth knowledge of the decision-making process regarding the implementation of ITRM frameworks at universities.