Implementing quality function deployment using service quality and Kano model to the quality of e-learning

Q2 Social Sciences
Theresiawati Theresiawati, H. Seta, A. Arista
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引用次数: 0

Abstract

E-learning has become an important aspect of university education. System evaluation must be carried out by higher education management to identify the number of e-learning successes and future improvement efforts. Three research methodologies were used in this study to measure, classify, and translate service quality into an improvement process, namely SERVQUAL, Kano model, and quality functional deployment (QFD). A survey involving 219 UPN “Veteran” Jakarta students as e-learning users were done to examine the developed methodology. The partial least square (PLS) method was used to process the data. This study employed the quantitative method. Website content, assurance, empathy, responsiveness, tangibles, reliability, and learning content are variables in this approach. This study provided knowledge on identifying and analyzing the quality of e-learning services using the service quality (SERVQUAL) method by calculating the score gap between the perceived service quality assessment (performance) and the expected service quality using website content, assurance, empathy research variables, responsiveness, tangibles, reliability, learning content, e-learning quality, satisfaction, and behavioral intention. This study also evaluates what improvements can be made to improve the quality of e-learning services.
利用服务质量和Kano模型对电子学习质量进行质量功能部署
电子学习已经成为大学教育的一个重要方面。高等教育管理层必须进行系统评估,以确定电子学习的成功数量和未来的改进工作。本研究使用了三种研究方法来衡量、分类服务质量,并将其转化为改进过程,即SERVQUAL、卡诺模型和质量功能部署(QFD)。对219名UPN雅加达“老兵”学生作为电子学习用户进行了一项调查,以检查所开发的方法。数据处理采用偏最小二乘法。本研究采用定量方法。网站内容、保证、同理心、反应能力、有形内容、可靠性和学习内容都是这种方法中的变量。本研究提供了使用服务质量(SERVQUAL)方法识别和分析电子学习服务质量的知识,通过使用网站内容、保证、移情研究变量、响应性、有形资产、可靠性、学习内容计算感知服务质量评估(绩效)与预期服务质量之间的得分差距,电子学习质量、满意度和行为意向。这项研究还评估了可以做出哪些改进来提高电子学习服务的质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.70
自引率
0.00%
发文量
242
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