Scholarlink

<p>This study extends the research on privacy fatigue and ChatGPT acceptance from South Korean undergraduate students to the Nigerian context, investigating whether similar patterns emerge in a developing country setting. Through a survey of 80 undergraduate students (<i>N</i> = 80) at the University of Jos, Nigeria, we examined the relationship between privacy fatigue (a feeling of resignation and weariness regarding privacy concerns) and students’ adoption of ChatGPT for educational purposes using partial least squares structural equation modelling (PLS-SEM). Employing a modified Unified Theory of Acceptance and Use of Technology (UTAUT) framework combined with privacy fatigue and perceived risk constructs, we replicated the Korean study’s methodology to enable cross-cultural comparison. The findings revealed that Nigerian students exhibited similar patterns to their Korean counterparts, with privacy fatigue significantly reducing perceived privacy risks, enhancing performance expectations, and increasing behavioral intention to use ChatGPT. The model explained 36.8% of the variance in behavioral intention, with performance expectancy emerging as the strongest predictor (β = 0.419, <i>p</i> &lt; 0.001). Notably, despite the potential risks and Nigeria’s developing data protection framework, perceived risk did not significantly influence the intention to use ChatGPT. While generalisability is appropriately bounded by the single-institution, convenience sample; nonetheless, this study contributes to understanding privacy perceptions in diverse educational and regulatory contexts, particularly in African higher education institutions where generative AI adoption is rapidly growing. Theoretically, the study extends the privacy fatigue–UTAUT model beyond East Asian contexts and demonstrates that privacy fatigue operates as an adoption enabler even in nascent regulatory environments, advancing both technology acceptance theory and privacy scholarship in African higher education.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

A cross cultural extension study on privacy fatigue and AI adoption behavioral model

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年7月10日

查看全文
  • Aminu Muhammad Auwal

摘要

This study extends the research on privacy fatigue and ChatGPT acceptance from South Korean undergraduate students to the Nigerian context, investigating whether similar patterns emerge in a developing country setting. Through a survey of 80 undergraduate students (N = 80) at the University of Jos, Nigeria, we examined the relationship between privacy fatigue (a feeling of resignation and weariness regarding privacy concerns) and students’ adoption of ChatGPT for educational purposes using partial least squares structural equation modelling (PLS-SEM). Employing a modified Unified Theory of Acceptance and Use of Technology (UTAUT) framework combined with privacy fatigue and perceived risk constructs, we replicated the Korean study’s methodology to enable cross-cultural comparison. The findings revealed that Nigerian students exhibited similar patterns to their Korean counterparts, with privacy fatigue significantly reducing perceived privacy risks, enhancing performance expectations, and increasing behavioral intention to use ChatGPT. The model explained 36.8% of the variance in behavioral intention, with performance expectancy emerging as the strongest predictor (β = 0.419, p < 0.001). Notably, despite the potential risks and Nigeria’s developing data protection framework, perceived risk did not significantly influence the intention to use ChatGPT. While generalisability is appropriately bounded by the single-institution, convenience sample; nonetheless, this study contributes to understanding privacy perceptions in diverse educational and regulatory contexts, particularly in African higher education institutions where generative AI adoption is rapidly growing. Theoretically, the study extends the privacy fatigue–UTAUT model beyond East Asian contexts and demonstrates that privacy fatigue operates as an adoption enabler even in nascent regulatory environments, advancing both technology acceptance theory and privacy scholarship in African higher education.