Customer behavior and adoption · Abstract-supported quantitative empirical study
Employees’ change in perception when artificial intelligence integrates with human resource management: a mediating role of AI-tech trust
Meenal Arora, Amit Mittal (2025). Benchmarking: An International Journal.
Plain-English take
Perceptions of AI’s effects on talent acquisition, training/development, performance assessment and pay/rewards predicted adoption intention; AI-tech trust positively mediated the tested relationships. For a founder, use this as a question to test in your own context, not a universal playbook.
How much weight to give this
3/5 Exploratory evidence; interpret cautiously
The 1–5 evidence-check score is a practical reading aid, not a formal peer review or a probability that a conclusion is true. It combines design strength (2 points), sample reporting (1), comparison/control clarity (1), and how much of the paper could be checked (1). Access affects how confidently this directory can assess a study, not the study's underlying quality. Blinding is reported separately because it is not relevant to every design.
The described design supports the question, but it does not establish causal effects beyond the reported setting.
The reviewed source reports a sample or corpus size (264); size alone does not establish representativeness.
The comparison structure is limited or depends on the paper's model/context.
Only publisher abstract/metadata was retrieved; full methods and robustness could not be checked.
Double-blind? Blinding was not established from the captured source; it may not apply to this study design.
Research question
What the authors investigated
How do employees’ perceptions of AI-enabled changes in HR functions affect intention to adopt AI, and does AI-tech trust mediate the relationships?
Design
Cross-sectional survey of HR professionals; two-step PLS-SEM.
Sample and setting
264 HR professionals from Indian e-commerce organizations.
Reported result
What the study found
Perceptions of AI’s effects on talent acquisition, training/development, performance assessment and pay/rewards predicted adoption intention; AI-tech trust positively mediated the tested relationships.
This is a paraphrase of the source. Check the original paper for definitions, estimates, statistical uncertainty and analysis details.
Scope and transfer
Limitations to keep in view
Cross-sectional, India/e-commerce-specific sample; self-report and nonprobability concerns are not detailed in the accessible abstract, so editorial review is required.
Possible founder application
Treat this as evidence for the specific customer behavior and adoption question studied. Compare the setting and sample to your company before changing a growth decision; use a local experiment where the paper does not match your context.
Evidence access
Publisher abstract/metadata retrieved; full text not reviewed
Publisher DOI record and accessible article/abstract directly support the bibliographic record and the summary fields; editorial review remains appropriate for duplicate checking against the unseen 300-study library. Correction notices were not separately verified in this collection; consult the current publisher record before applying the findings.
If only an abstract or metadata was available, the profile is limited to claims supported there. A paper's paywall does not change its evidentiary status, but it limits what we can substantiate from accessible text.