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Industry Concentration and Digital Process Innovation: Evidence from Chinese Rail Transit Firms

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  • Yi Jin

    (College of Management, Southwest Minzu University, Chengdu 610225, China)

  • Bo Liu

    (School of Economics and Management, Southwest University of Science and Technology, Mianyang 621010, China)

Abstract

Market competition and industrial environment have a significant impact on firms’ innovation behavior. Hence, this study aims to uncover the connection between industry concentration and digital process innovation in Chinese rail transit firms. Grounded in innovation diffusion theory, we explore the effects of industry concentration on digital process innovation and analyze the contingent factors of firm size and environmental support on the above effects. Through empirical analyses of data from Chinese rail transit firms, this study reveals that industry concentration inhibits digital process innovation. Firm size strengthens the negative impacts of industry concentration, while environmental support weakens the main effect. Our findings offer a complementary framework for industry organization activities and practical implications for digital process innovation.

Suggested Citation

  • Yi Jin & Bo Liu, 2025. "Industry Concentration and Digital Process Innovation: Evidence from Chinese Rail Transit Firms," Sustainability, MDPI, vol. 17(9), pages 1-15, May.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:9:p:4116-:d:1648101
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    as
    1. Chen, Ping-Chuan & Hung, Shiu-Wan, 2016. "An actor-network perspective on evaluating the R&D linking efficiency of innovation ecosystems," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 303-312.
    2. Fariborz Damanpour & Richard M. Walker & Claudia N. Avellaneda, 2009. "Combinative Effects of Innovation Types and Organizational Performance: A Longitudinal Study of Service Organizations," Journal of Management Studies, Wiley Blackwell, vol. 46(4), pages 650-675, June.
    3. Messeni Petruzzelli, Antonio & Ardito, Lorenzo & Savino, Tommaso, 2018. "Maturity of knowledge inputs and innovation value: The moderating effect of firm age and size," Journal of Business Research, Elsevier, vol. 86(C), pages 190-201.
    4. Elisabetta Raguseo & Claudio Vitari & Federico Pigni, 2020. "Profiting from big data analytics: The moderating roles of industry concentration and firm size," Post-Print hal-03032504, HAL.
    5. Yingli Huang & Guoyi Lou & Yue Ren, 2024. "Can Industrial Spatial Configuration Catalyze the Transition and Advancement of Resource-Dependent Regions? An Empirical Analysis from Heilongjiang Province, China," Sustainability, MDPI, vol. 16(19), pages 1-21, September.
    6. Laforet, Sylvie, 2013. "Organizational innovation outcomes in SMEs: Effects of age, size, and sector," Journal of World Business, Elsevier, vol. 48(4), pages 490-502.
    7. Zhao, Shuliang & Teng, Linjiao & Arkorful, Vincent Ekow & Hu, Hui, 2023. "Impacts of digital government on regional eco-innovation: Moderating role of dual environmental regulations," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    8. Natalya Vinokurova & Rahul Kapoor, 2020. "Converting inventions into innovations in large firms: How inventors at Xerox navigated the innovation process to commercialize their ideas," Strategic Management Journal, Wiley Blackwell, vol. 41(13), pages 2372-2399, December.
    9. Zahid Sarwar & Jingmei Gao & Adnan Khan, 2024. "Nexus of digital platforms, innovation capability, and strategic alignment to enhance innovation performance in the Asia Pacific region: a dynamic capability perspective," Asia Pacific Journal of Management, Springer, vol. 41(2), pages 867-901, June.
    10. 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.
    11. Michael J. Leiblein & Tammy L. Madsen, 2009. "Unbundling competitive heterogeneity: incentive structures and capability influences on technological innovation," Strategic Management Journal, Wiley Blackwell, vol. 30(7), pages 711-735, July.
    12. Yize Qin & Yuqing Shen, 2024. "Can Process Digitization Improve Firm Innovation Performance? Process Digitization as Job Resources and Demands," Sustainability, MDPI, vol. 16(13), pages 1-14, June.
    13. Zhang, Meiyang & Zhu, Xuezhong & Liu, Rui, 2024. "Patent length and innovation: Novel evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    14. Battisti, Giuliana & Iona, Alfonsina, 2009. "The intra-firm diffusion of complementary innovations: Evidence from the adoption of management practices by British establishments," Research Policy, Elsevier, vol. 38(8), pages 1326-1339, October.
    15. Wang, Yuandi & Ning, Lutao & Prevezer, Martha, 2015. "Technological diversification in China from 1986 to 2011: Evidence from patent data," Technological Forecasting and Social Change, Elsevier, vol. 99(C), pages 54-66.
    16. BarNir, Anat & Gallaugher, John M. & Auger, Pat, 2003. "Business process digitization, strategy, and the impact of firm age and size: the case of the magazine publishing industry," Journal of Business Venturing, Elsevier, vol. 18(6), pages 789-814, November.
    17. Capponi, Giovanna & Martinelli, Arianna & Nuvolari, Alessandro, 2022. "Breakthrough innovations and where to find them," Research Policy, Elsevier, vol. 51(1).
    18. Zheng Duan & Yifan Zhang, 2025. "Can Enterprise Digital Transformation Improve Resource Allocation Efficiency? Evidence From China," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 46(4), pages 2688-2704, June.
    19. Capestro, Mauro & Rizzo, Cristian & Kliestik, Tomas & Peluso, Alessandro M. & Pino, Giovanni, 2024. "Enabling digital technologies adoption in industrial districts: The key role of trust and knowledge sharing," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    20. liu, Zhizhong & Ju, Bin, 2023. "Network infrastructure construction and heterogeneous enterprise innovation quasi-natural experiment based on “Broadband China”," Information Economics and Policy, Elsevier, vol. 65(C).
    21. Utterback, James M & Abernathy, William J, 1975. "A dynamic model of process and product innovation," Omega, Elsevier, vol. 3(6), pages 639-656, December.
    22. Elisabetta Raguseo & Claudio Vitari & Federico Pigni, 2020. "Profiting from big data analytics: The moderating roles of industry concentration and firm size," Grenoble Ecole de Management (Post-Print) hal-03032504, HAL.
    23. Elisabetta Raguseo & Claudio Vitari & Federico Pigni, 2020. "Profiting from big data analytics: The moderating roles of industry concentration and firm size," Post-Print hal-03511355, HAL.
    24. Pan, Xiaojun & Li, Shoude, 2016. "Dynamic optimal control of process–product innovation with learning by doing," European Journal of Operational Research, Elsevier, vol. 248(1), pages 136-145.
    25. Cannavacciuolo, Lorella & Capaldo, Guido & Ponsiglione, Cristina, 2023. "Digital innovation and organizational changes in the healthcare sector: Multiple case studies of telemedicine project implementation," Technovation, Elsevier, vol. 120(C).
    26. Elisabetta Raguseo & Claudio Vitari & Federico Pigni, 2020. "Profiting from big data analytics: The moderating roles of industry concentration and firm size," Post-Print hal-03511381, HAL.
    27. 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).
    28. Abrar Ali Saiyed & Stephanie A. Fernhaber & Rakesh Basant & Karthik Dhandapani, 2021. "The internationalization of new ventures in an emerging economy: The shifting role of industry concentration," Asia Pacific Journal of Management, Springer, vol. 38(4), pages 1467-1497, December.
    29. Malodia, Suresh & Mishra, Mahima & Fait, Monica & Papa, Armando & Dezi, Luca, 2023. "To digit or to head? Designing digital transformation journey of SMEs among digital self-efficacy and professional leadership," Journal of Business Research, Elsevier, vol. 157(C).
    30. Duygan, Mert & Fischer, Manuel & Ingold, Karin, 2023. "Assessing the readiness of municipalities for digital process innovation," Technology in Society, Elsevier, vol. 72(C).
    31. Raguseo, Elisabetta & Vitari, Claudio & Pigni, Federico, 2020. "Profiting from big data analytics: The moderating roles of industry concentration and firm size," International Journal of Production Economics, Elsevier, vol. 229(C).
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