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Exploring the factors driving AI adoption in production: a systematic literature review and future research agenda
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(2009)Global prevalence and burden of depressive and anxiety disorders in 204 countries and territories in 2020 due to the COVID-19 pandemic (2021)PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews (2021)PRISMA-S: an extension to the PRISMA Statement for Reporting Literature Searches in Systematic Reviews (2021)Firm Resources and Sustained Competitive Advantage (1991)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)Artificial Intelligence and Business Value: a Literature Review (2021)What influences algorithmic decision-making? 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References

  • 2021The PRISMA 2020 statement: an updated guideline for reporting systematic reviews107,380 cited
  • 1994Qualitative Data Analysis: An Expanded Sourcebook48,401 cited
  • 2005Three Approaches to Qualitative Content Analysis44,511 cited
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  • 2009The SAGE handbook of organizational research methods2,127 cited
  • 2021Artificial intelligence capability: Conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance1,693 cited
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  • 2021Understanding AI adoption in manufacturing and production firms using an integrated TAM-TOE model746 cited
  • 2021Artificial intelligence applications in supply chain management525 cited
  • 2019Emerging Technology and Business Model Innovation: The Case of Artificial Intelligence444 cited
  • 2020

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Role of artificial intelligence in operations environment: a review and bibliometric analysis
393 cited
  • 2021Prerequisites for the adoption of AI technologies in manufacturing – Evidence from a worldwide sample of manufacturing companies316 cited
  • 2021Will Humans-in-the-Loop Become Borgs? Merits and Pitfalls of Working with AI309 cited
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