Development of a SaaS Adoption Decision-Making Model Using a New Hybrid MCDM Approach

Elaheh Yadegaridehkordi, Mehrbakhsh Nilashi, Liyana Shuib, Shahla Asadi and Othman Ibrahim
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Elaheh Yadegaridehkordi: Department of Information Systems, Faculty of Computer Science & Information Technology, University of Malaya (UM), 50603 Kuala Lumpur, Malaysia
Mehrbakhsh Nilashi: #x2020;Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam‡Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City, Vietnam
Liyana Shuib: Department of Information Systems, Faculty of Computer Science & Information Technology, University of Malaya (UM), 50603 Kuala Lumpur, Malaysia
Shahla Asadi: #xA7;Department of Information Systems, Faculty of Computer Science and Information Technology, University Putra Malaysia, Selangor 43400, Malaysia¶Department of Software Engineering and Information System, Faculty of Computer Science and Information Technology, University Putra Malaysia (UPM), Seri Kembangan, Malaysia
Othman Ibrahim: #x2225;Azman Hashim International Business School, Universiti Teknologi Malaysia (UTM), Skudai Johor 81310, Malaysia

International Journal of Information Technology & Decision Making (IJITDM), 2019, vol. 18, issue 06, 1845-1874

Abstract: This study is the first attempt that aims to develop a comprehensive decision-making model for Software as a Service (SaaS) adoption in the educational environment. Accordingly, a new hybrid Multi-Criteria Decision Making (MCDM) approach of Grey Relational Analysis (GRA), Classification and Regression Trees (CART), and Fuzzy Rule-Based (FRB) techniques is developed to reveal the importance level of significant factors, model adoption status in the form of “IF-THEN” rules, and predict the level of adoption based on the significant adoption factors and their relationships. This study is the first-hand experience that takes complementary advantages of GRA, CART, and FRB techniques for technology adoption decision-making. The findings can be used as a guide by the administrator of universities, ministry of education, and services providers to successfully proceed for SaaS-based applications adoption in the educational environments.

Keywords: SaaS-based applications; GRA; CART; fuzzy rule-based technique (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1142/S0219622019500366

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