混合集成PLS-SEM, AHP和FAHP方法来评估影响LMS使用的因素

IF 0.6 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS International Journal of Decision Support System Technology Pub Date : 2022-01-01 DOI:10.4018/ijdsst.286697
E. Xhafaj, D. Qendraj, Alban Xhafaj, N. Gjikaj
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引用次数: 2

摘要

学习管理系统(LMS)的发展对于促进与改善大学教与学有关的新选择具有不可或缺的作用。本研究提出确定影响学习管理系统采用和使用的结构。该概念框架是在技术接受模型3 (TAM3)扩展的基础上发展起来的,包括感知有用性(PU)、感知易用性(PEOU)、主观规范(SN)、行为意图(BI)和使用行为(UB)等构念。本文研究了偏最小二乘结构方程模型(PLS-SEM)、层次分析法(AHP)和模糊层次分析法(FAHP)三种方法的集成。PLS-SEM已经确定了信度,结构的有效性,并检验了模型的假设。这些结果已被整合到AHP和FAHP方法中,以评估结构的重要性。研究结果对我国高等教育政策的完善具有重要的参考价值。
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A Hybrid Integration of PLS-SEM, AHP, and FAHP Methods to Evaluate the Factors That Influence the Use of an LMS
The development of learning management systems (LMS) has an integral role to the promotion of new alternatives in relation to improve teaching and learning for universities. This study proposes the determination of the constructs that influence learning management systems adoption and use. The conceptual framework has been developed on the basis of the expansion of Technology Acceptance Model 3 (TAM3) including the constructs Perceived Usefulness (PU), Perceived Ease of Use (PEOU), Subjective Norm (SN), Behavioral Intention (BI), Use Behavior (UB). The paper deals with the integration of the three approaches Partial Least Square-Structural Equation Model (PLS-SEM), Analytic Hierarchic Process (AHP) and Fuzzy Analytic Hierarchy Process (FAHP). PLS-SEM have determined the reliability, the validity of the constructs, and tested the model’s hypotheses. These results have been integrated into the AHP and FAHP methods, to evaluate the importance of the constructs. These results will be especially useful to enhance the higher education policies.
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来源期刊
International Journal of Decision Support System Technology
International Journal of Decision Support System Technology COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
2.20
自引率
18.20%
发文量
40
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