2nd Indian International Conference on Industrial Engineering and Operations Management

Evaluating Academic Staff Development Strategies in A Higher Education Institution Using Hybrid SWOT, ISM, and ANP

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Human resource development has been an interesting topic to be discussed since it strategically improves the overall organizational performance. Moreover, the industrial era 4.0 which has been growing rapidly also demands the need for agile human resources. Universities as educational institution have a vital role to contribute to this development. A good academic staff development practice will bring positive impact to the quality of students so that it is strongly required to build a better capacity building system for younger generation. On the other hand, human resource development is a domain which can be solved using the MCDM approach as it involves multiple factors as well as decision-makers (DMs) to make an effective strategic decision. Accordingly, this study aims to develop an evaluation model for human resource development strategies in the education sector. Specifically, an academic staff development case in terms of research policy is selected and then the model is tested at a private university in Indonesia. In this study, the integration of three methods – SWOT matrix, interpretative structural modeling (ISM), and analytic network process (ANP) – is applied where a SWOT matrix focuses on identifying the relevant strategies, the ISM method is to model causal relationships among the strategies, and the ANP method is to prioritize the strategies using the importance weights obtained based on the ISM structure. Finally, this study has identified the 18 academic staff development strategies and presented a fundamental and a target strategy that can be recommended to the DMs.


Academic staff development, SWOT, ISM, ANP

Published in: 2nd Indian International Conference on Industrial Engineering and Operations Management, Warangal, India

Publisher: IEOM Society International
Date of Conference: August 16-18, 2022

ISBN: 978-1-7923-9160-6
ISSN/E-ISSN: 2169-8767