Across this set, AI adoption barriers in product
Research gap analysis derived from 3 engineering papers in our local library.
The gap
Across this set, AI adoption barriers in product development are studied in startups and commercial sectors but never in regulated manufacturing or automotive contexts where compliance and traceability are mandatory; the interaction between
Evidence profile
Sourced from the synthesized and inline gaps and limitations section of the source papers, classified as general, spanning 2 journals.
Research trend
Established — well-defined area with open sub-problems.
Supporting evidence — 3 representative gaps
- Artificial Intelligence and Entrepreneurial Innovation: Transforming Start-up Ecosystems in India (2026) · Zenodo (CERN European Organization for Nuclear Research) · doi
Across this set, AI adoption barriers in product development are studied in startups and commercial sectors but never in regulated manufacturing or automotive contexts where compliance and traceability are mandatory; the interaction between AI process requirements and regulatory constraints remains unexplored.
generalsynthesizedKeywords: across set adoption barriers product development studied startups - CORSUS Accounting Information System and Internal Control Effectiveness: An Empirical Study at Yes Brebes Salted Egg Store (2026) · Jurnal Ilmiah Ekonomi Manajemen & Bisnis · doi
These findings suggest that AIS adoption, in isolation, is insufficient to guarantee internal control effectiveness; rather, technological implementation must be accompanied by parallel investments in organizational restructuring, workforce development, and system infrastructure enhancement to realize its full governance potential.
generalinline gapsevidence 5/5Keywords: suggest adoption isolation insufficient guarantee internal control effectiveness rather technological implementation must accompanied parallel investments - Governance, Risk, and Compliance (GRC) Engineering Approaches for IT and Cybersecurity Control Assurance: A Critical Review (2026) · Zenodo (CERN European Organization for Nuclear Research) · doi
The paper identifies limitations and inconsistencies in current approaches, including limited adaptability and insufficient cultural integration. The analysis reveals scalability constraints for smaller entities and unresolved contradictions in AI adoption amid fragmented regulations. The paper notes that the synthesis aim was non-exhaustive, focusing on conceptual relevance rather than exhaustive coverage.
generallimitations sectionevidence 5/5Keywords: paper identifies limitations inconsistencies current approaches including limited
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