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Prerequisites for the adoption of AI technologies in manufacturing – Evidence from a worldwide sample of manufacturing companies

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  • Kinkel, Steffen
  • Baumgartner, Marco
  • Cherubini, Enrica

Abstract

In current discussions, Artificial Intelligence (AI) is ascribed great influence on production processes. Research on AI has seen tremendous growth in recent years. However, most of the research has focused primarily on various AI technologies, and less on prerequisites and enablers for adoption of AI at firm-level. This is surprising, given the fact that many companies are still struggling to establish AI in their production and to drive their AI adoption forward.

Suggested Citation

  • Kinkel, Steffen & Baumgartner, Marco & Cherubini, Enrica, 2022. "Prerequisites for the adoption of AI technologies in manufacturing – Evidence from a worldwide sample of manufacturing companies," Technovation, Elsevier, vol. 110(C).
    • Handle: RePEc:eee:techno:v:110:y:2022:i:c:s0166497221001565
    DOI: 10.1016/j.technovation.2021.102375
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    1. Christian Arnold & Kai-Ingo Voigt, 2019. "Determinants of Industrial Internet of Things Adoption in German Manufacturing Companies," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1-21, October.
    2. Hobday, Mike, 1998. "Product complexity, innovation and industrial organisation," Research Policy, Elsevier, vol. 26(6), pages 689-710, February.
    3. Spyros Makridakis, 2018. "Forecasting the Impact of Artificial Intelligence, Part 3 of 4: The Potential Effects of AI on Businesses, Manufacturing, and Commerce," Foresight: The International Journal of Applied Forecasting, International Institute of Forecasters, issue 49, pages 18-27, Spring.
    4. Dachs, Bernhard & Kinkel, Steffen & Jäger, Angela, 2019. "Bringing it all back home? Backshoring of manufacturing activities and the adoption of Industry 4.0 technologies," Journal of World Business, Elsevier, vol. 54(6), pages 1-1.
    5. Haefner, Naomi & Wincent, Joakim & Parida, Vinit & Gassmann, Oliver, 2021. "Artificial intelligence and innovation management: A review, framework, and research agenda✰," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    6. Michele Kremen Bolton, 1993. "Organizational Innovation and Substandard Performance: When is Necessity the Mother of Innovation?," Organization Science, INFORMS, vol. 4(1), pages 57-75, February.
    7. Gómez, Jaime & Vargas, Pilar, 2012. "Intangible resources and technology adoption in manufacturing firms," Research Policy, Elsevier, vol. 41(9), pages 1607-1619.
    8. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    9. Jens Butschan & Sven Heidenreich & Benjamin Weber & Tobias Kraemer, 2019. "TACKLING HURDLES TO DIGITAL TRANSFORMATION — THE ROLE OF COMPETENCIES FOR SUCCESSFUL INDUSTRIAL INTERNET OF THINGS (IIoT) IMPLEMENTATION," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 23(04), pages 1-34, May.
    10. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    11. Erik Brynjolfsson & Kristina McElheran, 2016. "The Rapid Adoption of Data-Driven Decision-Making," American Economic Review, American Economic Association, vol. 106(5), pages 133-139, May.
    12. Reischauer, Georg, 2018. "Industry 4.0 as policy-driven discourse to institutionalize innovation systems in manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 26-33.
    13. Rialti, Riccardo & Zollo, Lamberto & Ferraris, Alberto & Alon, Ilan, 2019. "Big data analytics capabilities and performance: Evidence from a moderated multi-mediation model," Technological Forecasting and Social Change, Elsevier, vol. 149(C).
    14. Jens Butschan & Sven Heidenreich & Benjamin Weber & Tobias Kraemer, 2019. "Tackling Hurdles to Digital Transformation — The Role of Competencies for Successful Industrial Internet of Things (IIoT) Implementation," World Scientific Book Chapters, in: Joe Tidd (ed.), Digital Disruptive Innovation, chapter 7, pages 169-208, World Scientific Publishing Co. Pte. Ltd..
    15. da Silveira, Giovani J.C., 2014. "An empirical analysis of manufacturing competitive factors and offshoring," International Journal of Production Economics, Elsevier, vol. 150(C), pages 163-173.
    16. Giulio Buciuni & Vladi Finotto, 2016. "Innovation in Global Value Chains: Co-location of Production and Development in Italian Low-Tech Industries," Regional Studies, Taylor & Francis Journals, vol. 50(12), pages 2010-2023, December.
    17. Riina Vuorikari & Yves Punie & Stephanie Carretero Gomez & Godelieve Van Den Brande, 2016. "DigComp 2.0: The Digital Competence Framework for Citizens. Update Phase 1: the Conceptual Reference Model," JRC Research Reports JRC101254, Joint Research Centre.
    18. Spanos, Yiannis E. & Voudouris, Irini, 2009. "Antecedents and trajectories of AMT adoption: The case of Greek manufacturing SMEs," Research Policy, Elsevier, vol. 38(1), pages 144-155, February.
    19. Canhoto, Ana Isabel & Clear, Fintan, 2020. "Artificial intelligence and machine learning as business tools: A framework for diagnosing value destruction potential," Business Horizons, Elsevier, vol. 63(2), pages 183-193.
    20. Cohen, Wesley M & Levinthal, Daniel A, 1989. "Innovation and Learning: The Two Faces of R&D," Economic Journal, Royal Economic Society, vol. 99(397), pages 569-596, September.
    21. Raffaele Cioffi & Marta Travaglioni & Giuseppina Piscitelli & Antonella Petrillo & Fabio De Felice, 2020. "Artificial Intelligence and Machine Learning Applications in Smart Production: Progress, Trends, and Directions," Sustainability, MDPI, vol. 12(2), pages 1-26, January.
    22. Kirner, Eva & Kinkel, Steffen & Jaeger, Angela, 2009. "Innovation paths and the innovation performance of low-technology firms--An empirical analysis of German industry," Research Policy, Elsevier, vol. 38(3), pages 447-458, April.
    23. Dean M. Schroeder & Steven W. Congden & C. Gopinath, 1995. "Linking Competitive Strategy And Manufacturing Process Technology," Journal of Management Studies, Wiley Blackwell, vol. 32(2), pages 163-189, March.
    24. Mauro Capestro & Steffen Kinkel, 2020. "Industry 4.0 and Knowledge Management: A Review of Empirical Studies," Knowledge Management and Organizational Learning, in: Marco Bettiol & Eleonora Di Maria & Stefano Micelli (ed.), Knowledge Management and Industry 4.0, pages 19-52, Springer.
    25. Joseph Evans Agolla, 2018. "Human Capital in the Smart Manufacturing and Industry 4.0 Revolution," Chapters, in: Antonella Petrillo & Raffaele Cioffi & Fabio De Felice (ed.), Digital Transformation in Smart Manufacturing, IntechOpen.
    26. Stephanie Carretero & Riina Vuorikari & Yves Punie, 2017. "DigComp 2.1: The Digital Competence Framework for Citizens with eight proficiency levels and examples of use," JRC Research Reports JRC106281, Joint Research Centre.
    27. Sousa, Maria José & Rocha, Álvaro, 2019. "Skills for disruptive digital business," Journal of Business Research, Elsevier, vol. 94(C), pages 257-263.
    28. Horváth, Dóra & Szabó, Roland Zs., 2019. "Driving forces and barriers of Industry 4.0: Do multinational and small and medium-sized companies have equal opportunities?," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 119-132.
    29. Demeter, Krisztina, 2003. "Manufacturing strategy and competitiveness," International Journal of Production Economics, Elsevier, vol. 81(1), pages 2015-2213, January.
    30. Aboelmaged, Mohamed Gamal, 2014. "Predicting e-readiness at firm-level: An analysis of technological, organizational and environmental (TOE) effects on e-maintenance readiness in manufacturing firms," International Journal of Information Management, Elsevier, vol. 34(5), pages 639-651.
    31. Prithwiraj Choudhury & Ryan T. Allen & Michael G. Endres, 2021. "Machine learning for pattern discovery in management research," Strategic Management Journal, Wiley Blackwell, vol. 42(1), pages 30-57, January.
    32. John H Dunning, 1998. "Location and the Multinational Enterprise: A Neglected Factor?," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 29(1), pages 45-66, March.
    33. Zander, Ivo, 1998. "The evolution of technological capabilities in the multinational corporation--dispersion, duplication and potential advantages from multinationality," Research Policy, Elsevier, vol. 27(1), pages 17-35, May.
    34. Helene Dernis & Petros Gkotsis & Nicola Grassano & Shohei Nakazato & Mariagrazia Squicciarini & Brigitte van Beuzekom & Antonio Vezzani, 2019. "World Corporate Top R&D investors: Shaping the Future of Technologies and of AI," JRC Research Reports JRC117068, Joint Research Centre.
    35. Gianluca Vagnani & Corrado Gatti & Luca Proietti, 2019. "A conceptual framework of the adoption of innovations in organizations: a meta-analytical review of the literature," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 23(4), pages 1023-1062, December.
    36. Gillani, Fatima & Chatha, Kamran Ali & Sadiq Jajja, Muhammad Shakeel & Farooq, Sami, 2020. "Implementation of digital manufacturing technologies: Antecedents and consequences," International Journal of Production Economics, Elsevier, vol. 229(C).
    37. Tortorella, Guilherme Luz & Cawley Vergara, Alejandro Mac & Garza-Reyes, Jose Arturo & Sawhney, Rapinder, 2020. "Organizational learning paths based upon industry 4.0 adoption: An empirical study with Brazilian manufacturers," International Journal of Production Economics, Elsevier, vol. 219(C), pages 284-294.
    38. Yang, Chen-Lung & Lin, Shu-Ping & Chan, Ya-hui & Sheu, Chwen, 2010. "Mediated effect of environmental management on manufacturing competitiveness: An empirical study," International Journal of Production Economics, Elsevier, vol. 123(1), pages 210-220, January.
    39. Fuller, Christie M. & Simmering, Marcia J. & Atinc, Guclu & Atinc, Yasemin & Babin, Barry J., 2016. "Common methods variance detection in business research," Journal of Business Research, Elsevier, vol. 69(8), pages 3192-3198.
    40. George Baryannis & Sahar Validi & Samir Dani & Grigoris Antoniou, 2019. "Supply chain risk management and artificial intelligence: state of the art and future research directions," International Journal of Production Research, Taylor & Francis Journals, vol. 57(7), pages 2179-2202, April.
    41. Sendhil Mullainathan & Jann Spiess, 2017. "Machine Learning: An Applied Econometric Approach," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 87-106, Spring.
    42. Faith-Michael E. Uzoka & Richard O. Abiola & Rebecca Nyangeresi, 2008. "Influence of Product and Organizational Constructs on ERP Acquisition Using an Extended Technology Acceptance Model," International Journal of Enterprise Information Systems (IJEIS), IGI Global, vol. 4(2), pages 67-83, April.
    43. Orietta Marsili & Bart Verspagen, 2002. "Technology and the dynamics of industrial structures: an empirical mapping of Dutch manufacturing," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 11(4), pages 791-815, August.
    44. Bourke, Jane & Roper, Stephen, 2016. "AMT adoption and innovation: An investigation of dynamic and complementary effects," Technovation, Elsevier, vol. 55, pages 42-55.
    45. Steffen Kinkel & Johanna Rahn & Bernhard Rieder & Anne-Laure Mention & Marko Torkkeli, 2020. "Competences for the In-house Development of Digital Innovations in German Mechanical Engineering Companies," World Scientific Book Chapters, in: Pierre-Jean Barlatier & Anne-Laure Mention (ed.), Managing Digital Open Innovation, chapter 14, pages 379-399, World Scientific Publishing Co. Pte. Ltd..
    46. John H Dunning, 1988. "The Eclectic Paradigm of International Production: A Restatement and Some Possible Extensions," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 19(1), pages 1-31, March.
    47. Hazen, Benjamin T. & Boone, Christopher A. & Ezell, Jeremy D. & Jones-Farmer, L. Allison, 2014. "Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications," International Journal of Production Economics, Elsevier, vol. 154(C), pages 72-80.
    48. Vachon, Stephan & Klassen, Robert D., 2008. "Environmental management and manufacturing performance: The role of collaboration in the supply chain," International Journal of Production Economics, Elsevier, vol. 111(2), pages 299-315, February.
    49. Krzywdzinski, Martin, 2017. "Automation, skill requirements and labour-use strategies: high-wage and low-wage approaches to high-tech manufacturing in the automotive industry," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 32(3), pages 247-267.
    50. Ancarani, Alessandro & Di Mauro, Carmela & Mascali, Francesco, 2019. "Backshoring strategy and the adoption of Industry 4.0: Evidence from Europe," Journal of World Business, Elsevier, vol. 54(4), pages 360-371.
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