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.

中文翻译：

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使用新的混合 MCDM 方法开发 SaaS 采用决策模型

这项研究是第一次尝试，旨在为在教育环境中采用软件即服务 (SaaS) 开发一个全面的决策模型。因此，开发了一种新的灰色关系分析 (GRA)、分类和回归树 (CART) 和基于模糊规则 (FRB) 技术的混合多标准决策 (MCDM) 方法，以揭示重要因素的重要性水平，以“IF-THEN”规则的形式对采用状态进行建模，并根据重要采用因素及其关系预测采用水平。本研究是利用 GRA、CART 和 FRB 技术的互补优势进行技术采用决策的第一手经验。研究结果可作为大学管理者、教育部、