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Drivers, barriers and social considerations for AI adoption in SCM
6 references·4 citing·45 second hop
Drivers, barriers and social considerations for AI adoption in SCM (2023)Drivers, barriers and social consideratio…What drives SMEs to adopt smart technologies in Korea? Focusing on technological factors (2022)What drives SMEs to adopt sma…The importance of education and training policies in supporting technological revolutions: A comparative and historical analysis of UK, US, Germany, and Sweden (1830–1970) (2022)The importance of education a…Trust, transparency, and openness: How inclusion of cultural values shapes Nordic national public policy strategies for artificial intelligence (AI) (2020)Trust, transparency, and open…Drivers, barriers and social considerations for AI adoption in business and management: A tertiary study (2020)Drivers, barriers and social …Experteninterviews und qualitative Inhaltsanalyse als Instrumente rekonstruierender Untersuchungen (2010)Experteninterviews und qualit…A framework of supply chain management literature (2001)A framework of supply chain m…Supply Chain Management in the Era of Generative AI (ChatGPT): Technology Fit and Psychological Drivers of Adoption (2025)Supply Chain Management in th…Linkage mechanism of antecedents for employees' continuous adoption of artificial intelligence virtual assistants (2025)Linkage mechanism of antecede…How does AI perform in industry chain? A patent claims analysis approach (2024)How does AI perform in indust…Examining Ethical and Social Implications of Digital Mental Health Technologies Through Expert Interviews and Sociotechnical Systems Theory (2024)Examining Ethical and Social …Alliances in Industrial Purchasing: The Determinants of Joint Action in Buyer-Supplier Relationships (1990)What is the Right Supply Chain for Your Product (1997)Supply Chain Management: Implementation Issues and Research Opportunities (1998)Supply chain management: a strategic perspective (2002)Development and validation of a measurement instrument for studying supply chain management practices (2005)Application of machine learning techniques for supply chain demand forecasting (2007)Scoping studies: towards a methodological framework (2005)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration (2009)A theory of digital technology advancement to address the grand challenges of sustainable development (2021)The impact of automation and artificial intelligence on worker well-being (2021)ChatGPT and generative artificial intelligence: an exploratory study of key benefits and challenges in operations and supply chain management (2023)An Integrative Model Of Organizational Trust (1995)Culture's Consequences: Comparing Values, Behaviors, Institutions, and Organizations across Nations (2002)Document Analysis as a Qualitative Research Method (2009)Implementing challenges of artificial intelligence: Evidence from public manufacturing sector of an emerging economy (2021)Public engagement and AI: A values analysis of national strategies (2021)User trust in artificial intelligence: A comprehensive conceptual framework (2022)The Principles of Scientific Management. 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(1979)Using the framework method for the analysis of qualitative data in multi-disciplinary health research (2013)An Introduction to Qualitative Research (2023)Editorial: Ethical dilemmas of digitalisation of mental health (2025)Technology for Mental Health: Reflections on Scope and Future Directions in Institutes of Higher Education in India (2025)Technological paradigms and technological trajectories (1982)A Penny for Your Quotes: Patent Citations and the Value of Innovations (1990)Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions (2021)Estimating Nonresponse Bias in Mail Surveys (1977)Understanding Information Systems Continuance: An Expectation-Confirmation Model1 (2001)User Acceptance of Information Technology: Toward A Unified View1 (2003)Task-Technology Fit and Individual Performance (1995)Life With and Without Coding: Two Methods for Early-Stage Data Analysis in Qualitative Research Aiming at Causal Explanations (2012)‘The problem-centred expert interview’. Combining qualitative interviewing approaches for investigating implicit expert knowledge (2020)Drivers and barriers for circular business model innovation (2022)
this work references cited by second hop

References

  • 2001A framework of supply chain management literature895 cited
  • 2010Experteninterviews und qualitative Inhaltsanalyse als Instrumente rekonstruierender Untersuchungen821 cited
  • 2020Drivers, barriers and social considerations for AI adoption in business and management: A tertiary study415 cited
  • 2020Trust, transparency, and openness: How inclusion of cultural values shapes Nordic national public policy strategies for artificial intelligence (AI)338 cited
  • 2022The importance of education and training policies in supporting technological revolutions: A comparative and historical analysis of UK, US, Germany, and Sweden (1830–1970)56 cited
  • 2022What drives SMEs to adopt smart technologies in Korea? Focusing on technological factors31 cited

Cited by

  • 2024Examining Ethical and Social Implications of Digital Mental Health Technologies Through Expert Interviews and Sociotechnical Systems Theory14 cited
  • 2025Supply Chain Management in the Era of Generative AI (ChatGPT): Technology Fit and Psychological Drivers of Adoption14 cited
  • 2024How does AI perform in industry chain? A patent claims analysis approach8 cited
  • 2025Linkage mechanism of antecedents for employees' continuous adoption of artificial intelligence virtual assistants7 cited

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