Exploring the Continuous Learning Willingness Under the Risk of Data Breach in Online Learning System: A Fuzzy-Set QCA Approach

Yuwei Jiang, Qingtang Liu, Shufan Yu, Jingjing Ma, Linjing Wu
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Abstract

With the rapid popularization of online learning systems, the impact of data breach risk on the willingness to continue learn in online learning systems has become the focus of attention. Based on the privacy calculus theory, four influencing factors were proposed: risk perception, benefit perception, trust perception and privacy perception. Qualitative comparative analysis (QCA) was used to conduct configuration analysis on the questionnaire results, and to obtain the configurations of good or poor learning willingness. The results showed that, (i) the learners' perception of the existence of benefit and trust in the online learning system helps to improve continuous learning willingness, but this is not a necessary condition, (ii) risk aversion and preventing privacy breach are the urgent needs of online learning systems. The paper highlights the direction of future efforts for online learning systems from the perspective of data breach.
在线学习系统数据泄露风险下的持续学习意愿研究:一种模糊集QCA方法
随着在线学习系统的迅速普及,数据泄露风险对在线学习系统中继续学习意愿的影响成为人们关注的焦点。基于隐私演算理论,提出了风险感知、利益感知、信任感知和隐私感知四个影响因素。采用定性比较分析(QCA)对问卷结果进行配置分析,得到学习意愿良好或较差的配置。研究结果表明:(1)学习者对在线学习系统中存在利益和信任的感知有助于提高持续学习意愿,但这不是必要条件;(2)风险规避和防止隐私泄露是在线学习系统的迫切需求。本文从数据泄露的角度强调了在线学习系统未来努力的方向。
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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