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Intelligent transformation of the manufacturing industry for Industry 4.0: Seizing financial benefits from supply chain relationship capital through enterprise green management

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  • Yu, Yubing
  • Zhang, Justin Zuopeng
  • Cao, Yanhong
  • Kazancoglu, Yigit

Abstract

Prior research and practices of Industry 4.0 mostly centered on the intelligent transformation of the manufacturing industry from a technical perspective. However, it remains unclear how social and environmental factors can improve companies' performance in their digital transformation under Industry 4.0. Our research addresses this gap by exploring how companies undergoing digital transformation can leverage their relationship capital and green management initiatives to improve their financial performance, benefiting the entire supply chain. Specifically, we developed a conceptual model that captures the relationship between supply chain relationship capital, enterprise green management, and financial performance and used structural equation modeling and SPSS PROCESS to empirically test the hypotheses with data collected from 308 Chinese manufacturing companies. The findings indicate that for companies in the digital transformation of Industry 4.0, supply chain relationship capital positively affects enterprise green management, which subsequently enhances financial performance. Meanwhile, supply chain relationship capital also indirectly improves companies’ financial performance by leveraging their green management initiatives. Our findings contribute to the literature by enriching the implications of relational capital in supply chains and strengthening the viability of green management. We also provide practical guidance for companies to effectively implement green management programs and exploit their relationship capital.

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  • Yu, Yubing & Zhang, Justin Zuopeng & Cao, Yanhong & Kazancoglu, Yigit, 2021. "Intelligent transformation of the manufacturing industry for Industry 4.0: Seizing financial benefits from supply chain relationship capital through enterprise green management," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
  • Handle: RePEc:eee:tefoso:v:172:y:2021:i:c:s0040162521004315
    DOI: 10.1016/j.techfore.2021.120999
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    as
    1. Benitez, Guilherme Brittes & Ayala, Néstor Fabián & Frank, Alejandro G., 2020. "Industry 4.0 innovation ecosystems: An evolutionary perspective on value cocreation," International Journal of Production Economics, Elsevier, vol. 228(C).
    2. de Sousa Jabbour, Ana Beatriz Lopes & Jabbour, Charbel Jose Chiappetta & Foropon, Cyril & Godinho Filho, Moacir, 2018. "When titans meet – Can industry 4.0 revolutionise the environmentally-sustainable manufacturing wave? The role of critical success factors," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 18-25.
    3. Szalavetz, Andrea, 2019. "Industry 4.0 and capability development in manufacturing subsidiaries," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 384-395.
    4. Lai, Kee-hung & Wu, Sarah J. & Wong, Christina W.Y., 2013. "Did reverse logistics practices hit the triple bottom line of Chinese manufacturers?," International Journal of Production Economics, Elsevier, vol. 146(1), pages 106-117.
    5. Xia Yan & Shaofu Du & Li Hu, 2020. "Supply chain performance for a risk inequity averse newsvendor," Annals of Operations Research, Springer, vol. 290(1), pages 897-921, July.
    6. Christoph G. Schmidt & Kai Foerstl & Birte Schaltenbrand, 2017. "The Supply Chain Position Paradox: Green Practices and Firm Performance," Journal of Supply Chain Management, Institute for Supply Management, vol. 53(1), pages 3-25, January.
    7. Wu, Guo-Ciang & Ding, Jyh-Hong & Chen, Ping-Shun, 2012. "The effects of GSCM drivers and institutional pressures on GSCM practices in Taiwan’s textile and apparel industry," International Journal of Production Economics, Elsevier, vol. 135(2), pages 618-636.
    8. Lucas, Marilyn T. & Noordewier, Thomas G., 2016. "Environmental management practices and firm financial performance: The moderating effect of industry pollution-related factors," International Journal of Production Economics, Elsevier, vol. 175(C), pages 24-34.
    9. Büchi, Giacomo & Cugno, Monica & Castagnoli, Rebecca, 2020. "Smart factory performance and Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 150(C).
    10. Miguel Núñez-Merino & Juan Manuel Maqueira-Marín & José Moyano-Fuentes & Pedro José Martínez-Jurado, 2020. "Information and digital technologies of Industry 4.0 and Lean supply chain management: a systematic literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 58(16), pages 5034-5061, July.
    11. Frédéric Rosin & Pascal Forget & Samir Lamouri & Robert Pellerin, 2020. "Impacts of Industry 4.0 technologies on Lean principles," International Journal of Production Research, Taylor & Francis Journals, vol. 58(6), pages 1644-1661, March.
    12. Mariani, Marcello & Borghi, Matteo, 2019. "Industry 4.0: A bibliometric review of its managerial intellectual structure and potential evolution in the service industries," Technological Forecasting and Social Change, Elsevier, vol. 149(C).
    13. Kamble, Sachin S. & Gunasekaran, Angappa & Ghadge, Abhijeet & Raut, Rakesh, 2020. "A performance measurement system for industry 4.0 enabled smart manufacturing system in SMMEs- A review and empirical investigation," International Journal of Production Economics, Elsevier, vol. 229(C).
    14. Frank, Alejandro Germán & Dalenogare, Lucas Santos & Ayala, Néstor Fabián, 2019. "Industry 4.0 technologies: Implementation patterns in manufacturing companies," International Journal of Production Economics, Elsevier, vol. 210(C), pages 15-26.
    15. 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).
    16. Wong, Christina W.Y. & Lai, Kee-hung & Shang, Kuo-Chung & Lu, Chin-Shan & Leung, T.K.P., 2012. "Green operations and the moderating role of environmental management capability of suppliers on manufacturing firm performance," International Journal of Production Economics, Elsevier, vol. 140(1), pages 283-294.
    17. Sunil Luthra & Anil Kumar & Edmundas Kazimieras Zavadskas & Sachin Kumar Mangla & Jose Arturo Garza-Reyes, 2020. "Industry 4.0 as an enabler of sustainability diffusion in supply chain: an analysis of influential strength of drivers in an emerging economy," International Journal of Production Research, Taylor & Francis Journals, vol. 58(5), pages 1505-1521, March.
    18. 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.
    19. Prahinski, Carol & Kocabasoglu, Canan, 2006. "Empirical research opportunities in reverse supply chains," Omega, Elsevier, vol. 34(6), pages 519-532, December.
    20. Jan Stentoft & Christopher Rajkumar, 2020. "The relevance of Industry 4.0 and its relationship with moving manufacturing out, back and staying at home," International Journal of Production Research, Taylor & Francis Journals, vol. 58(10), pages 2953-2973, May.
    21. Carla Gonçalves Machado & Mats Peter Winroth & Elias Hans Dener Ribeiro da Silva, 2020. "Sustainable manufacturing in Industry 4.0: an emerging research agenda," International Journal of Production Research, Taylor & Francis Journals, vol. 58(5), pages 1462-1484, March.
    22. Armstrong, J. Scott & Overton, Terry S., 1977. "Estimating Nonresponse Bias in Mail Surveys," MPRA Paper 81694, University Library of Munich, Germany.
    23. Sven-Vegard Buer & Jan Ola Strandhagen & Felix T. S. Chan, 2018. "The link between Industry 4.0 and lean manufacturing: mapping current research and establishing a research agenda," International Journal of Production Research, Taylor & Francis Journals, vol. 56(8), pages 2924-2940, April.
    24. Gerd J. Hahn, 2020. "Industry 4.0: a supply chain innovation perspective," International Journal of Production Research, Taylor & Francis Journals, vol. 58(5), pages 1425-1441, March.
    25. Dmitry Ivanov & Alexandre Dolgui & Boris Sokolov, 2019. "The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics," International Journal of Production Research, Taylor & Francis Journals, vol. 57(3), pages 829-846, February.
    26. Prashant Kale & Harbir Singh & Howard Perlmutter, 2000. "Learning and protection of proprietary assets in strategic alliances: building relational capital," Strategic Management Journal, Wiley Blackwell, vol. 21(3), pages 217-237, March.
    27. Alexandre Moeuf & Samir Lamouri & Robert Pellerin & Simon Tamayo-Giraldo & Estefania Tobon-Valencia & Romain Eburdy, 2020. "Identification of critical success factors, risks and opportunities of Industry 4.0 in SMEs," International Journal of Production Research, Taylor & Francis Journals, vol. 58(5), pages 1384-1400, March.
    28. Lo, Chris K.Y. & Yeung, Andy C.L. & Cheng, T.C.E., 2012. "The impact of environmental management systems on financial performance in fashion and textiles industries," International Journal of Production Economics, Elsevier, vol. 135(2), pages 561-567.
    29. Geng, Ruoqi & Mansouri, S. Afshin & Aktas, Emel, 2017. "The relationship between green supply chain management and performance: A meta-analysis of empirical evidences in Asian emerging economies," International Journal of Production Economics, Elsevier, vol. 183(PA), pages 245-258.
    30. Paolo Rosa & Claudio Sassanelli & Andrea Urbinati & Davide Chiaroni & Sergio Terzi, 2020. "Assessing relations between Circular Economy and Industry 4.0: a systematic literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 58(6), pages 1662-1687, March.
    31. Yang, Chung-Shan & Lu, Chin-Shan & Haider, Jane Jing & Marlow, Peter Bernard, 2013. "The effect of green supply chain management on green performance and firm competitiveness in the context of container shipping in Taiwan," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 55(C), pages 55-73.
    32. Dalenogare, Lucas Santos & Benitez, Guilherme Brittes & Ayala, Néstor Fabián & Frank, Alejandro Germán, 2018. "The expected contribution of Industry 4.0 technologies for industrial performance," International Journal of Production Economics, Elsevier, vol. 204(C), pages 383-394.
    33. Li, Ying & Dai, Jing & Cui, Li, 2020. "The impact of digital technologies on economic and environmental performance in the context of industry 4.0: A moderated mediation model," International Journal of Production Economics, Elsevier, vol. 229(C).
    34. Allen H. Hu & Chia‐Wei Hsu, 2010. "Critical factors for implementing green supply chain management practice," Management Research Review, Emerald Group Publishing Limited, vol. 33(6), pages 586-608, May.
    35. Peter Ralston & Jennifer Blackhurst, 2020. "Industry 4.0 and resilience in the supply chain: a driver of capability enhancement or capability loss?," International Journal of Production Research, Taylor & Francis Journals, vol. 58(16), pages 5006-5019, July.
    36. Nidam Siawsh & Konrad Peszynski & Leslie Young & Huan Vo-Tran, 2021. "Exploring the role of power on procurement and supply chain management systems in a humanitarian organisation: a socio-technical systems view," International Journal of Production Research, Taylor & Francis Journals, vol. 59(12), pages 3591-3616, June.
    37. Bulent Menguc & Seigyoung Auh & Lucie Ozanne, 2010. "The Interactive Effect of Internal and External Factors on a Proactive Environmental Strategy and its Influence on a Firm's Performance," Journal of Business Ethics, Springer, vol. 94(2), pages 279-298, June.
    38. Stephen Brammer & Andrew Millington, 2008. "Does it pay to be different? An analysis of the relationship between corporate social and financial performance," Strategic Management Journal, Wiley Blackwell, vol. 29(12), pages 1325-1343, December.
    39. V. Daniel R. Guide & Vaidyanathan Jayaraman & Rajesh Srivastava & W. C. Benton, 2000. "Supply-Chain Management for Recoverable Manufacturing Systems," Interfaces, INFORMS, vol. 30(3), pages 125-142, June.
    40. Bill McEvily & Alfred Marcus, 2005. "Embedded ties and the acquisition of competitive capabilities," Strategic Management Journal, Wiley Blackwell, vol. 26(11), pages 1033-1055, November.
    41. Robert D. Klassen & Curtis P. McLaughlin, 1996. "The Impact of Environmental Management on Firm Performance," Management Science, INFORMS, vol. 42(8), pages 1199-1214, August.
    42. Ye, Fei & Zhao, Xiande & Prahinski, Carol & Li, Yina, 2013. "The impact of institutional pressures, top managers' posture and reverse logistics on performance—Evidence from China," International Journal of Production Economics, Elsevier, vol. 143(1), pages 132-143.
    43. Sachin Kamble & Angappa Gunasekaran & Neelkanth C. Dhone, 2020. "Industry 4.0 and lean manufacturing practices for sustainable organisational performance in Indian manufacturing companies," International Journal of Production Research, Taylor & Francis Journals, vol. 58(5), pages 1319-1337, March.
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