The literature indicates that ethical data practices, privacy protection, security, perceived risk, trust, and loyalty are closely related

The gap

Evidence profile

Sourced from the future work and stated research gap of the source papers, classified as general, spanning 3 journals.

Supporting evidence — 3 representative gaps

• The legal and ethical dimensions of artificial intelligence in managing medical records in Oman (2026) · Discover Artificial Intelligence · doi

  This study examined the legal, ethical, and privacy-related dimensions of AI-enabled medical record management in Oman and assessed how these dimensions are associ- ated with healthcare professionals’ trust in AI systems. The findings indicate that per- ceived privacy and data protection were most strongly associated with trust, while ethical safeguards also showed a positive association. The perceived legal framework and accountability dimension showed a negative association with trust, suggesting that legal and accountability arrangements may not be viewed as fully clear, operational, or reas- suring by healthcare professionals. These findings should be interpreted within the limits of the study design. The cross- sectional and self-report nature of the data means that the results identify perceived associations rather than causal effects. The large privacy–trust coefficient also war- rants caution, as it may partly reflect conceptual overlap between privacy and trust or shared-method variance. Nevertheless, the findings provide empirical evidence from Oman, a context that remains underrepresented in AI governance and health informat- ics research. The study suggests that trustworthy implementation of AI in medical record manage- ment may be supported by privacy-by-design practices, clearer accountability proce- dures, visible ethical safeguards, and institution-level governance mechanisms. Future research should use longitudinal, experimental, or qualitative designs to examine how trust develops over time, how healthcare professionals interpret legal accountability in practice, and how patients perceive AI use in medical records. Further studies could also compare public and private healthcare settings, examine AI literacy and professional role differences, and test additional constructs such as perceived usefulness, transpar- ency, explainability, organizational readiness, and human oversight.

  generalfuture work
  Keywords: trust privacy legal healthcare accountability ethical medical professionals perceived dimensions record oman safeguards association design
• From governance to stewardship: Rethinking AI ethics in management (2026) · International Entrepreneurship and Management Journal · doi

  ♣ To address trade-offs between efficiency, safety, and equity; and to support trustworthy AI deployment in healthcare systems. ♣ To analyse how AI intensifies data privacy risks ♣ To frame these risks from a records and infor- mation governance perspective ♣ To examine ethical issues arising across AI- enabled value chains ♣ To balance organizational benefits and societal risks ♣ To encourage reflective governance of AI systems within corporate contexts. ♣ To conceptualize the future role of manage- ment in AI-driven organizations ♣ To integrate ethical, social, and environ- mental considerations into AI governance; and to promote human-oriented and sustainable management models. 1 3International Entrepreneurship and Management Journal…

  generalfuture work
  Keywords: risks governance systems ethical management address trade offs efficiency safety equity support trustworthy deployment healthcare
• Fostering Trust and Loyalty in E-Commerce through Ethical Data Practices (2026) · International Journal of Latest Technology in Engineering Management & Applied Science · doi

  The literature indicates that ethical data practices, privacy protection, security, perceived risk, trust, and loyalty are closely related, but these relationships are often examined separately or as direct effects. Existing studies provide less explanation of the relational mechanism through which ethical data governance generates loyalty and the conditions that may weaken this process.

  generalstated research gapevidence 5/5
  Keywords: literature indicates ethical data practices privacy protection security

Questions about this gap