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Technological innovativeness and information quality as neoteric predictors of users' acceptance of learning management system: An expansion of UTAUT2

机译:技术创新和信息质量作为用户验收学习管理系统的近期预测:utaut2的扩张

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Purpose - This study aims to expand the Unified Theory of Acceptance and Use of Technology (UTAUT2) by exploring the effect of two new predictors: technological innovativeness and information quality, along with the learning value and the original determinants that influence faculty and students' acceptance of the Moodle-Learning Management System. The modified model includes nine predictors: performance expectancy, effort expectancy, social influence, facilitating conditions, learning value, hedonic motivation, habit, technological innovativeness and information quality. Design/methodology/approach - The study is based on a cross-sectional survey design. The target population was faculty and students of the University of Kufa in Iraq. An online questionnaire was used to collect 228 responses from faculty and 553 from students. Findings - Results of the Structural Equation Modeling (SEM) Partial Least Squares (PLS) analysis revealed that factors which influence faculty acceptance were social influence, facilitating conditions, hedonic motivation, habit, technological innovativeness and information quality, while factors which influence student acceptance were performance expectancy, facilitating conditions, learning value, hedonic motivation, habit, technological innovativeness and information quality. Originality/value - The theoretical and practical contribution of the present study lies in the expansion of the UTAUT2 model through adding neoteric predictors, which are technological innovativeness and information quality. This study provides insights and further understanding of the effect of predictors (original and additive) on users' acceptance of e-learning management system. In addition, the findings of the current study enable decision-makers and those interested in developing Moodle-LMS to obtain in-depth information on these indicators, especially in the Iraqi higher education environment.
机译:目的 - 本研究旨在通过探索两个新的预测因子的效果来扩展统一的接受和使用理论(UTAUT2):技术创新和信息质量,以及影响教师接受的学习价值和原始决定因素Moodle学习管理系统的影响。修改模型包括九个预测因素:性能预期,努力期望,社会影响,促进条件,学习价值,诸百合激励,习惯,技术创新和信息质量。设计/方法/方法 - 研究基于横断面调查设计。目标人口是伊拉克驻习武大学的教员和学生。在线问卷被用来从学生收集228名教师和553个回复。研究结果 - 结构方程建模(SEM)部分最小二乘(PLS)分析显示,影响教师接受的因素是社会影响力,促进条件,蜂窝动机,习惯,技术创新和信息质量,而影响学生接受的因素是影响性能预期,促进条件,学习价值,诸着革命动机,习惯,技术创新和信息质量。原创性/价值 - 本研究的理论和实践贡献在于通过添加新的预测器来扩展utaut2模型,这是技术创新和信息质量。本研究提供了见解和进一步了解预测因素(原始和添加剂)对用户接受电子学习管理系统的影响。此外,目前研究的调查结果使得决策者和有兴趣开发Moodle-LMS的人可以获得有关这些指标的深入信息,特别是在伊拉克高等教育环境中。

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