Use of non-financial measures in information technology decision making: a design research study of Learning Management Systems (LMS) adoption in universities

Norhaiza Khairudin

Research output: ThesisDoctoral Thesis

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Abstract

[Truncated] The use of a Learning Management System (LMS) at universities has become an integral part of an effective approach to teaching and learning in Higher Education. An increasing number of universities are choosing open source LMS, which are free of licence costs over their proprietary counterparts. Traditional methods to evaluate IT investments tend to focus on financial measures and do not formally incorporate the important non-financial measures into the decision making process. However, in order to make an optimal LMS decision, non-financial measures, which are mostly strategic and intangible in nature, are critical and should be taken into account.
Many multi-dimensional methods have been proposed to compliment the accounting methods traditionally used in IT investment evaluation processes, including Value Analysis Method, Critical Success Factors (CSF), Benefit Management and Balanced Scorecard (BSC). While such methods compliment the accounting methods, there is no integrated decision making model developed specifically to assist decision makers to choose the best system by incorporating all the relevant aspects of the IT alternatives. In the higher education domain, there have been very few studies that have explored the effectiveness of IT investments evaluation methods used in the process of selecting the optimal IT alternatives for universities.
This research examined how managers in universities incorporate non-financial measures in their LMS decision-making processes. The Design Research approach was used to undertake the research. The main research question that guides this thesis is: “Will non-financial measures, if included in decision making models, be able to improve LMS decision making processes?” In order to answer this research question, a LMS decision- making model was developed and its effectiveness and feasibility evaluated.
Original languageEnglish
QualificationDoctor of Philosophy
Publication statusUnpublished - 2014

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