Comparison with the closest prior study (Rana et al., 2024)
| Aspect | Rana et al. (2024) | The present study |
|---|---|---|
| Primary theoretical lens | Institutional theory | Behavioral reasoning theory, with institutional theory as an interpretive lens |
| Treatment of ethical principles | Collectively important pressures | Adoption reasons of unequal weight (differential salience) |
| Adoption finding | All five FATAA principles support usage | Fairness and accuracy salient, accountability and transparency not |
| Moderator | Organizational innovativeness (a capability) | Ethical leadership (relational and normative) |
| Moderation structure | Single stage (usage to performance) | Dual stage (adoption and performance) |
| Moderation result | Supported | Non-significant at both stages, theorized as a governance-by-design boundary condition |
| Analytical approach | PLS-SEM | PLS-SEM with machine learning (triangulation) |
| Sample | 384 managers from IT and ITeS companies, India | 301 AI-literate professionals across sectors |
| Aspect | The present study | |
|---|---|---|
| Primary theoretical lens | Institutional theory | Behavioral reasoning theory, with institutional theory as an interpretive lens |
| Treatment of ethical principles | Collectively important pressures | Adoption reasons of unequal weight (differential salience) |
| Adoption finding | All five FATAA principles support usage | Fairness and accuracy salient, accountability and transparency not |
| Moderator | Organizational innovativeness (a capability) | Ethical leadership (relational and normative) |
| Moderation structure | Single stage (usage to performance) | Dual stage (adoption and performance) |
| Moderation result | Supported | Non-significant at both stages, theorized as a governance-by-design boundary condition |
| Analytical approach | PLS-SEM | PLS-SEM with machine learning (triangulation) |
| Sample | 384 managers from IT and ITeS companies, India | 301 AI-literate professionals across sectors |
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