Facilitating Successful Smart Campus Transitions: A Systems Thinking-SWOT Analysis Approach

Article


Awuzie, B., Ngowi, A.B., Omotayo, T., Obi, L. and Akotia, J. 2021. Facilitating Successful Smart Campus Transitions: A Systems Thinking-SWOT Analysis Approach. Applied Sciences. 11 (Art. 2044). https://doi.org/10.3390/app11052044
AuthorsAwuzie, B., Ngowi, A.B., Omotayo, T., Obi, L. and Akotia, J.
Abstract

An identification of strengths, weakness, opportunities, and threats (SWOT) factors remains imperative for enabling a successful Smart Campus transition. The absence of a structured approach for analyzing the relationships between these SWOT factors and the influence thereof on Smart Campus transitions negate effective implementation. This study leverages a systems thinking approach to bridge this gap. Data were collected through a stakeholder workshop within a University of Technology case study and analyzed using qualitative content analysis (QCA). This resulted in the establishment of SWOT factors affecting Smart Campus transitions. Systems thinking was utilized to analyze the relationships between these SWOT factors resulting in a causal loop diagram (CLD) highlighting extant interrelationships. A panel of experts drawn from the United Kingdom, New Zealand, and South Africa validated the relationships between the SWOT factors as elucidated in the CLD. Subsequently, a Smart Campus transition framework predicated on the CLD archetypes was developed. The framework provided a holistic approach to understanding the interrelationships between various SWOT factors influencing Smart Campus transitions. This framework remains a valuable tool for facilitating optimal strategic planning and management approaches by policy makers, academics, and implementers within the global Higher Education Institution (HEI) landscape for managing successful Smart Campus transition at the South African University of Technology (SAUoT) and beyond.

JournalApplied Sciences
Journal citation11 (Art. 2044)
ISSN2076-3417
Year2021
PublisherMDPI
Publisher's version
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Anyone
Digital Object Identifier (DOI)https://doi.org/10.3390/app11052044
Publication dates
Online25 Feb 2021
Publication process dates
Accepted23 Feb 2021
Deposited04 Mar 2021
Copyright holder© 2021 The Authors
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