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J·BJon BishopIndependent growth marketer

Customer behavior and adoption · Full-text open-access qualitative meta-synthesis/systematic review

Factors influencing artificial intelligence adoption in human resource management: a meta-synthesis and systematic review of multidimensional considerations

Mohammad Pedrami, Seyed Kamal Vaezi (2026). Journal of Work-Applied Management.

Journal of Work-Applied Management · 2026DOI: 10.1108/JWAM-10-2024-0158 ↗

Plain-English take

Five themes organize adoption factors: organizational/strategic, technological/operational, human-centric, challenges/opportunities, and environmental/economic; ethical and legal considerations were especially prominent. For a founder, use this as a question to test in your own context, not a universal playbook.

How much weight to give this

3.5/5 Useful evidence with meaningful caveats

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.

Design · 1/2

Synthesis or analytical design addresses the question, but conclusions depend on included literature or model assumptions.

Sample · 0.8/1

The reviewed source reports a sample or corpus size (2015); size alone does not establish representativeness.

Comparison · 0.5/1

The comparison structure is limited or depends on the paper's model/context.

Can we check it? · 1/1

Firecrawl retrieved a full paper or full-text publisher page for this annotation.

Double-blind? Blinding was not established from the captured source; it may not apply to this study design.

Research question

What the authors investigated

Which multidimensional factors influence AI adoption in HRM?

Design

Qualitative meta-synthesis systematically analyzing qualitative and quantitative studies published from 2015 to 2023.

Sample and setting

Peer-reviewed AI-in-HRM studies published 2015–2023; the accessible article synthesizes the selected literature rather than a new respondent sample.

Reported result

What the study found

Five themes organize adoption factors: organizational/strategic, technological/operational, human-centric, challenges/opportunities, and environmental/economic; ethical and legal considerations were especially prominent.

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

Qualitative meta-synthesis depends on the included literature and search/synthesis choices; the publisher article does not report a new field sample.

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

Full text retrieved from publisher or linked open repository

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.

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