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<p>As developing digital economies expand, ensuring information privacy relies heavily on the ethical judgment of information technology professionals. This study empirically evaluates a higher-order measurement framework of privacy self-regulatory efficacy to identify critical competency gaps in current computing curricula. Utilizing a cross-sectional survey design, data were collected from 403 active computer professionals in Dhaka, Bangladesh, and analyzed via partial least squares structural equation modeling. the conceptual framework positions privacy efficacy as a higher-order construct reflected by three distinct dimensions: protection, non-distribution, and non-acquisition. The empirical results confirm that all three dimensions significantly reflect the overarching construct. Notably, non-acquisition, which is the ability to refuse unnecessary data collection, emerged as the most substantial component (<i>β</i>&#xa0;=&#xa0;0.495,<i> t</i>&#xa0;=&#xa0;36.566, <i>p</i>&#xa0;&lt;&#xa0;0.001). These findings highlight a critical pedagogical gap, indicating that academic programs must pivot from exclusively prioritizing technical data gathering to explicitly embedding ethical data minimization practices within core technical modules.</p>

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Bridging the gap between Information Technology ethics education and information privacy practices among computer professionals

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年8月3日

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  • Umme Hani Tamanna,
  • Wan Abdul Rahim Wan Mohd Isa,
  • Afdallyna Fathiyah Harun,
  • Siti Sara Ibrahim,
  • Liyana Shuib

摘要

As developing digital economies expand, ensuring information privacy relies heavily on the ethical judgment of information technology professionals. This study empirically evaluates a higher-order measurement framework of privacy self-regulatory efficacy to identify critical competency gaps in current computing curricula. Utilizing a cross-sectional survey design, data were collected from 403 active computer professionals in Dhaka, Bangladesh, and analyzed via partial least squares structural equation modeling. the conceptual framework positions privacy efficacy as a higher-order construct reflected by three distinct dimensions: protection, non-distribution, and non-acquisition. The empirical results confirm that all three dimensions significantly reflect the overarching construct. Notably, non-acquisition, which is the ability to refuse unnecessary data collection, emerged as the most substantial component (β = 0.495, t = 36.566, p < 0.001). These findings highlight a critical pedagogical gap, indicating that academic programs must pivot from exclusively prioritizing technical data gathering to explicitly embedding ethical data minimization practices within core technical modules.