IDEAS home Printed from https://ideas.repec.org/a/eee/teinso/v79y2024ics0160791x2400263x.html
   My bibliography  Save this article

Does artificial intelligence drive technology convergence? Evidence from Chinese manufacturing companies

Author

Listed:
  • Ma, Dechao
  • Wu, Weiwei

Abstract

With the rapid rise of artificial intelligence (AI), seemingly unrelated technological domains have become closely interconnected, creating favorable conditions for achieving deep convergence between technologies. This study, drawing on the resource-based view theory, investigates the relationship between AI applications and technology convergence, while analyzing the moderating role of digital orientation. We chose Chinese A-share listed manufacturing companies from 2015 to 2022 as our research sample to validate our hypotheses. Empirical results indicate that the application of AI has a positive impact on both novel and reinforced technology convergence. Furthermore, firms with a high level of digital orientation enhance the positive effects of AI applications on novel and reinforced technology convergence. The research findings contribute empirically to the field of AI and technology convergence, offering valuable insights for firms on how to leverage AI to drive technology convergence.

Suggested Citation

  • Ma, Dechao & Wu, Weiwei, 2024. "Does artificial intelligence drive technology convergence? Evidence from Chinese manufacturing companies," Technology in Society, Elsevier, vol. 79(C).
  • Handle: RePEc:eee:teinso:v:79:y:2024:i:c:s0160791x2400263x
    DOI: 10.1016/j.techsoc.2024.102715
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160791X2400263X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techsoc.2024.102715?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Mina Nasiri & Minna Saunila & Tero Rantala & Juhani Ukko, 2022. "Sustainable innovation among small businesses: The role of digital orientation, the external environment, and company characteristics," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(4), pages 703-712, August.
    2. Lin, Canchu & Kunnathur, Anand, 2019. "Strategic orientations, developmental culture, and big data capability," Journal of Business Research, Elsevier, vol. 105(C), pages 49-60.
    3. Nishant, Rohit & Kennedy, Mike & Corbett, Jacqueline, 2020. "Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda," International Journal of Information Management, Elsevier, vol. 53(C).
    4. 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).
    5. Zhai, Shaoxuan & Liu, Zhenpeng, 2023. "Artificial intelligence technology innovation and firm productivity: Evidence from China," Finance Research Letters, Elsevier, vol. 58(PB).
    6. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation, and Work," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 197-236, National Bureau of Economic Research, Inc.
    7. Liu, Jun & Chang, Huihong & Forrest, Jeffrey Yi-Lin & Yang, Baohua, 2020. "Influence of artificial intelligence on technological innovation: Evidence from the panel data of china's manufacturing sectors," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    8. Matti Karvonen & Matti Lehtovaara & Tuomo Kässi, 2012. "Build-Up Of Understanding Of Technological Convergence: Evidence From Printed Intelligence Industry," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 9(03), pages 1-24.
    9. Wang, Lei & Zhou, Yahong & Chiao, Benjamin, 2023. "Robots and firm innovation: Evidence from Chinese manufacturing," Journal of Business Research, Elsevier, vol. 162(C).
    10. Kopka, Alexander & Grashof, Nils, 2022. "Artificial intelligence: Catalyst or barrier on the path to sustainability?," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    11. Sasaki, Hajime & Sakata, Ichiro, 2021. "Identifying potential technological spin-offs using hierarchical information in international patent classification," Technovation, Elsevier, vol. 100(C).
    12. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation and Work," Boston University - Department of Economics - Working Papers Series dp-298, Boston University - Department of Economics.
    13. Nambisan, Satish & Wright, Mike & Feldman, Maryann, 2019. "The digital transformation of innovation and entrepreneurship: Progress, challenges and key themes," Research Policy, Elsevier, vol. 48(8), pages 1-1.
    14. Ding, Tao & Li, Jiangyuan & Shi, Xing & Li, Xuhui & Chen, Ya, 2023. "Is artificial intelligence associated with carbon emissions reduction? Case of China," Resources Policy, Elsevier, vol. 85(PB).
    15. Bag, Surajit & Pretorius, Jan Ham Christiaan & Gupta, Shivam & Dwivedi, Yogesh K., 2021. "Role of institutional pressures and resources in the adoption of big data analytics powered artificial intelligence, sustainable manufacturing practices and circular economy capabilities," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    16. Mariani, Marcello M. & Machado, Isa & Magrelli, Vittoria & Dwivedi, Yogesh K., 2023. "Artificial intelligence in innovation research: A systematic review, conceptual framework, and future research directions," Technovation, Elsevier, vol. 122(C).
    17. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    18. Ida Merete Enholm & Emmanouil Papagiannidis & Patrick Mikalef & John Krogstie, 2022. "Artificial Intelligence and Business Value: a Literature Review," Information Systems Frontiers, Springer, vol. 24(5), pages 1709-1734, October.
    19. Rosenberg, Nathan, 1963. "Technological Change in the Machine Tool Industry, 1840–1910," The Journal of Economic History, Cambridge University Press, vol. 23(4), pages 414-443, December.
    20. Pietronudo, Maria Cristina & Croidieu, Grégoire & Schiavone, Francesco, 2022. "A solution looking for problems? A systematic literature review of the rationalizing influence of artificial intelligence on decision-making in innovation management," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    21. Nils Grashof & Alexander Kopka, 2023. "Artificial intelligence and radical innovation: an opportunity for all companies?," Small Business Economics, Springer, vol. 61(2), pages 771-797, August.
    22. Verhoef, Peter C. & Broekhuizen, Thijs & Bart, Yakov & Bhattacharya, Abhi & Qi Dong, John & Fabian, Nicolai & Haenlein, Michael, 2021. "Digital transformation: A multidisciplinary reflection and research agenda," Journal of Business Research, Elsevier, vol. 122(C), pages 889-901.
    23. de Reuver, Mark & Sørensen, Carsten & Basole, Rahul C., 2018. "The digital platform: a research agenda," LSE Research Online Documents on Economics 80669, London School of Economics and Political Science, LSE Library.
    24. Birger Wernerfelt, 1984. "A resource‐based view of the firm," Strategic Management Journal, Wiley Blackwell, vol. 5(2), pages 171-180, April.
    25. Chul Lee & Gunno Park & Jina Kang, 2018. "The impact of convergence between science and technology on innovation," The Journal of Technology Transfer, Springer, vol. 43(2), pages 522-544, April.
    26. Usai, A. & Fiano, F. & Messeni Petruzzelli, A. & Paoloni, P. & Farina Briamonte, M. & Orlando, B., 2021. "Unveiling the impact of the adoption of digital technologies on firms’ innovation performance," Journal of Business Research, Elsevier, vol. 133(C), pages 327-336.
    27. Zhao, Shengchao & Zeng, Deming & Li, Jian & Feng, Ke & Wang, Yao, 2023. "Quantity or quality: The roles of technology and science convergence on firm innovation performance," Technovation, Elsevier, vol. 126(C).
    28. Sebastian Krakowski & Johannes Luger & Sebastian Raisch, 2023. "Artificial intelligence and the changing sources of competitive advantage," Strategic Management Journal, Wiley Blackwell, vol. 44(6), pages 1425-1452, June.
    29. Ajay Agrawal & Joshua Gans & Avi Goldfarb, 2018. "Prediction, Judgment, and Complexity: A Theory of Decision-Making and Artificial Intelligence," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 89-110, National Bureau of Economic Research, Inc.
    30. Matt, C. & Hess, Thomas & Benlian, Alexander, 2015. "Digital Transformation Strategies," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 75002, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    31. Maria Cristina Pietronudo & Gregoire Croidieu & Francesco Schiavone, 2022. "A solution looking for problems? A systematic literature review of the rationalizing influence of artificial intelligence on decision-making in innovation management," Post-Print hal-04325569, HAL.
    32. Borges, Aline F.S. & Laurindo, Fernando J.B. & Spínola, Mauro M. & Gonçalves, Rodrigo F. & Mattos, Claudia A., 2021. "The strategic use of artificial intelligence in the digital era: Systematic literature review and future research directions," International Journal of Information Management, Elsevier, vol. 57(C).
    33. Christian Matt & Thomas Hess & Alexander Benlian, 2015. "Digital Transformation Strategies," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 57(5), pages 339-343, October.
    34. Euiseok Kim & Yongrae Cho & Wonjoon Kim, 2014. "Dynamic patterns of technological convergence in printed electronics technologies: patent citation network," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 975-998, February.
    35. Ardito, Lorenzo & Raby, Simon & Albino, Vito & Bertoldi, Bernardo, 2021. "The duality of digital and environmental orientations in the context of SMEs: Implications for innovation performance," Journal of Business Research, Elsevier, vol. 123(C), pages 44-56.
    36. Zhai, Huayun & Yang, Min & Chan, Kam C., 2022. "Does digital transformation enhance a firm's performance? Evidence from China," Technology in Society, Elsevier, vol. 68(C).
    37. Wang, Zhinan & Porter, Alan L. & Wang, Xuefeng & Carley, Stephen, 2019. "An approach to identify emergent topics of technological convergence: A case study for 3D printing," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 723-732.
    38. Bahoo, Salman & Cucculelli, Marco & Qamar, Dawood, 2023. "Artificial intelligence and corporate innovation: A review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    39. Jarrahi, Mohammad Hossein & Askay, David & Eshraghi, Ali & Smith, Preston, 2023. "Artificial intelligence and knowledge management: A partnership between human and AI," Business Horizons, Elsevier, vol. 66(1), pages 87-99.
    40. Kindermann, Bastian & Beutel, Sebastian & Garcia de Lomana, Gonzalo & Strese, Steffen & Bendig, David & Brettel, Malte, 2021. "Digital orientation: Conceptualization and operationalization of a new strategic orientation," European Management Journal, Elsevier, vol. 39(5), pages 645-657.
    41. Parteka, Aleksandra & Kordalska, Aleksandra, 2023. "Artificial intelligence and productivity: global evidence from AI patent and bibliometric data," Technovation, Elsevier, vol. 125(C).
    42. Quintana-Garci­a, Cristina & Benavides-Velasco, Carlos A., 2008. "Innovative competence, exploration and exploitation: The influence of technological diversification," Research Policy, Elsevier, vol. 37(3), pages 492-507, April.
    43. Aija Leiponen & Constance E. Helfat, 2010. "Innovation objectives, knowledge sources, and the benefits of breadth," Strategic Management Journal, Wiley Blackwell, vol. 31(2), pages 224-236, February.
    44. Matt, C. & Hess, Thomas & Benlian, Alexander, 2015. "Digital Transformation Strategies," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 75202, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    45. Bendig, David & Schulz, Colin & Theis, Lukas & Raff, Stefan, 2023. "Digital orientation and environmental performance in times of technological change," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    46. Kyunam Kim, 2017. "Impact of Firms’ Cooperative Innovation Strategy on Technological Convergence Performance: The Case of Korea’s ICT Industry," Sustainability, MDPI, vol. 9(9), pages 1-22, September.
    47. Li, Ganglei & Shao, Yunfei, 2023. "How do top management team characteristics affect digital orientation? Exploring the internal driving forces of firm digitalization," Technology in Society, Elsevier, vol. 74(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhong, Xi & She, Jianquan & Wu, Xiaojie, 2024. "Tech for social good: Artificial intelligence and workplace safety," Technology in Society, Elsevier, vol. 79(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Li, Ganglei & Shao, Yunfei, 2023. "How do top management team characteristics affect digital orientation? Exploring the internal driving forces of firm digitalization," Technology in Society, Elsevier, vol. 74(C).
    2. FU, Yunyun & SHEN, Yongchang & SONG, Malin & WANG, Weiyu, 2024. "Does artificial intelligence reduce corporate energy consumption? New evidence from China," Economic Analysis and Policy, Elsevier, vol. 83(C), pages 548-561.
    3. Zhao, Shengchao & Zeng, Deming & Li, Jian & Feng, Ke & Wang, Yao, 2023. "Quantity or quality: The roles of technology and science convergence on firm innovation performance," Technovation, Elsevier, vol. 126(C).
    4. Bennich, Amelie, 2024. "The digital imperative: Institutional pressures to digitalise," Technology in Society, Elsevier, vol. 76(C).
    5. Ardito, Lorenzo & Raby, Simon & Albino, Vito & Bertoldi, Bernardo, 2021. "The duality of digital and environmental orientations in the context of SMEs: Implications for innovation performance," Journal of Business Research, Elsevier, vol. 123(C), pages 44-56.
    6. Fleury, Afonso & Fleury, Maria Tereza Leme & Oliveira, Luis & Leao, Pablo, 2024. "Going digital EMNEs: The role of digital maturity capability," International Business Review, Elsevier, vol. 33(4).
    7. Radicic, Dragana & Petković, Saša, 2023. "Impact of digitalization on technological innovations in small and medium-sized enterprises (SMEs)," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    8. Liu, Guanyu & Liu, Jiaqi & Gao, Ping & Yu, Jiang & Pu, Zhengning, 2024. "Understanding mechanisms of digital transformation in state-owned enterprises in China: An institutional perspective," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
    9. Jiang, Kangqi & Du, Xinyi & Chen, Zhongfei, 2022. "Firms' digitalization and stock price crash risk," International Review of Financial Analysis, Elsevier, vol. 82(C).
    10. Zahra, Shaker A. & Liu, Wan & Si, Steven, 2023. "How digital technology promotes entrepreneurship in ecosystems," Technovation, Elsevier, vol. 119(C).
    11. Blanka, Christine & Krumay, Barbara & Rueckel, David, 2022. "The interplay of digital transformation and employee competency: A design science approach," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    12. Ologeanu-Taddei, Roxana & Hönigsberg, Sarah & Weritz, Pauline & Wache, Hendrik & Mittermeier, Ferdinand & Tana, Silviana & Dang, Duong & Hautala-Kankaanpää, Tuire & Pekkola, Samuli, 2025. "The relationship of digital transformation and corporate sustainability: Synergies and tensions," Technological Forecasting and Social Change, Elsevier, vol. 210(C).
    13. Song, Dandan & Tan, Zhidong & Wang, Wei & Zhai, Rui-Xiang, 2025. "Digital transformation and corporate social responsibility engagement: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 97(C).
    14. Guo, Xiaochuan & Li, Mengmeng & Wang, Yanlin & Mardani, Abbas, 2023. "Does digital transformation improve the firm’s performance? From the perspective of digitalization paradox and managerial myopia," Journal of Business Research, Elsevier, vol. 163(C).
    15. Guo, Bin & Zhang, Jiale & Tan, Ziyan, 2024. "Firm digitalization as strategic response: An integrated model based on the awareness-motivation-capability (AMC) framework," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
    16. Yang, Hefan & Liu, Xilu & Meng, Yao & Feng, Baoyi & Chen, Zhijun, 2024. "Digital transformation and the allocation of decision-making rights within business groups – Empirical evidence from China," Journal of Business Research, Elsevier, vol. 179(C).
    17. Jia, Junbo & Xu, Yusen & Li, Wenli, 2024. "A study on the strategic momentum of SMEs’ digital transformation: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    18. Tae Wan Kim & Fabrizio Maimone & Katherina Pattit & Alejo José Sison & Benito Teehankee, 2021. "Master and Slave: the Dialectic of Human-Artificial Intelligence Engagement," Humanistic Management Journal, Springer, vol. 6(3), pages 355-371, December.
    19. Jinkai Liang & Ke Du & Dandan Chen, 2023. "The Effect of Digitalization on Ambidextrous Innovation in Manufacturing Enterprises: A Perspective of Empowering and Enabling," Sustainability, MDPI, vol. 15(16), pages 1-23, August.
    20. Santos, Susana C. & Liguori, Eric W. & Garvey, Erin, 2023. "How digitalization reinvented entrepreneurial resilience during COVID-19," Technological Forecasting and Social Change, Elsevier, vol. 189(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:teinso:v:79:y:2024:i:c:s0160791x2400263x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/technology-in-society .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.