Adoption of Industry 4.0 Technologies: The Role of Artificial Intelligence, Green Supply Chain Practices, Sustainability, and Organizational Culture in Emerging Markets
Abstract
Purpose: The dynamic relationship between the adoption of Industry 4.0 technologies, green supply chain practices (GSCP), organizational culture and sustainability performance is researched, and the focus is on emerging markets context. It explains how these variables influence each other in the pursuit of sustainability within organizations during digital transformation.
Design/Methodology/Approach: There was a basis of a quantitative research methodology which adopted the use of structured questionnaires that were distributed to 358 professionals from the manufacturing, logistics, energy and IT sectors. This was assessed through Partial Least Squares Structural Equation Modeling (PLS-SEM) on the data in order to test the direct and mediated relationships between the constructs.
Findings: Results indicate that Industry 4.0 technologies imprint positively on the implementation of the organizational culture and sustainability performance. It is found that GSCP significantly mediates the link between adoption of technology and sustainability outcomes and also strengthens organizational culture.
Implications/Originality/Value: This study has implications for managers who can use this roadmap to align technology adoption to the internal culture and green practices to achieve sustainability goals. For emerging markets where institutional support is emerging this model is very applicable, both advancing academic theory and practice.
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Agrawal, R., Majumdar, A., Kumar, A., & Luthra, S. (2023). Integration of artificial intelligence in sustainable manufacturing: current status and future opportunities. Operations Management Research, 16(4), 1720–1741. https://doi.org/10.1007/s12063-023-00383-y DOI: https://doi.org/10.1007/s12063-023-00383-y
Alkhodair, M., & Alkhudhayr, H. (2025). Harnessing Industry 4.0 for SMEs: Advancing Smart Manufacturing and Logistics for Sustainable Supply Chains. Sustainability (Switzerland), 17(3). https://doi.org/10.3390/su17030813 DOI: https://doi.org/10.3390/su17030813
Alomar, M. A. (2022). Performance Optimization of Industrial Supply Chain Using Artificial Intelligence. Computational Intelligence and Neuroscience, 2022. https://doi.org/10.1155/2022/9306265 DOI: https://doi.org/10.1155/2022/9306265
Bag, S., Gupta, S., Kumar, S., & Sivarajah, U. (2020). Role of technological dimensions of green supply chain management practices on firm performance. Journal of Enterprise Information Management, 34(1), 1–27. https://doi.org/10.1108/JEIM-10-2019-0324 DOI: https://doi.org/10.1108/JEIM-10-2019-0324
Bag, S., & Pretorius, J. H. C. (2022). Relationships between industry 4.0, sustainable manufacturing and circular economy: proposal of a research framework. International Journal of Organizational Analysis, 30(4), 864–898. https://doi.org/10.1108/IJOA-04-2020-2120 DOI: https://doi.org/10.1108/IJOA-04-2020-2120
Belhadi, A., Kamble, S., Gunasekaran, A., & Mani, V. (2022). Analyzing the mediating role of organizational ambidexterity and digital business transformation on industry 4.0 capabilities and sustainable supply chain performance. Supply Chain Management, 27(6), 696–711. https://doi.org/10.1108/SCM-04-2021-0152 DOI: https://doi.org/10.1108/SCM-04-2021-0152
Chauhan, S., Singh, R., Gehlot, A., Akram, S. V., Twala, B., & Priyadarshi, N. (2023). Enabling Technologies : A Sustainable Perspective.
Dumitrascu, O., Dumitrascu, M., & Dobrotǎ, D. (2020). Performance evaluation for a sustainable supply chain management system in the automotive industry using artificial intelligence. Processes, 8(11), 1–20. https://doi.org/10.3390/pr8111384 DOI: https://doi.org/10.3390/pr8111384
Fakolade, O. A & Atanda, A. I. (2015). Literature review Literature review. Literature Review, November, 33–37.
Farrukh Shahzad, M., Liu, H., & Zahid, H. (2024). Industry 4.0 technologies and sustainable performance: do green supply chain collaboration, circular economy practices, technological readiness and environmental dynamism matter? Journal of Manufacturing Technology Management, 36(1), 1–22. https://doi.org/10.1108/JMTM-05-2024-0236 DOI: https://doi.org/10.1108/JMTM-05-2024-0236
Ghadge, A., Mogale, D. G., Bourlakis, M., M. Maiyar, L., & Moradlou, H. (2022). Link between Industry 4.0 and green supply chain management: Evidence from the automotive industry. Computers and Industrial Engineering, 169(June), 108303. https://doi.org/10.1016/j.cie.2022.108303 DOI: https://doi.org/10.1016/j.cie.2022.108303
Harikannan, N., Vinodh, S., & Antony, J. (2023). Analysis of the relationship among Industry 4.0 technologies, sustainable manufacturing practices and organizational sustainable performance using structural equation modelling. TQM Journal. https://doi.org/10.1108/TQM-02-2023-0044 DOI: https://doi.org/10.1108/TQM-02-2023-0044
Joshi, S., & Sharma, M. (2022). Sustainable Performance through Digital Supply Chains in Industry 4.0 Era: Amidst the Pandemic Experience. Sustainability (Switzerland), 14(24), 1–25. https://doi.org/10.3390/su142416726 DOI: https://doi.org/10.3390/su142416726
Kamra, J., Mani, A. P., Sharma, M., & Joshi, S. (2024). The Nexus between Green Supply Chain Management and Sustainability Performance in the Past Decade. Sustainability, 16(17), 7474. https://doi.org/10.3390/su16177474 DOI: https://doi.org/10.3390/su16177474
Khan, M. I., Saba, I., & Kouser, R. (2022). Corporate Governance Quality and Capital Structure Dynamics: Evidence from Pakistan. Indonesian Journal of Sustainability Accounting and Management, 6(2), 337–350. DOI: https://doi.org/10.28992/ijsam.v6i2.435
Khan, M. T., Idrees, M. D., & Haider, Y. (2024). Industry 4.0 impacts on operational and green innovation performances with the mediation of green practices. International Journal of Productivity and Performance Management, 73(5), 1405–1426. https://doi.org/10.1108/IJPPM-06-2022-0277 DOI: https://doi.org/10.1108/IJPPM-06-2022-0277
Khan, S. A. R., Sheikh, A. A., Shamsi, I. R. Al, & Yu, Z. (2025). The Implications of Artificial Intelligence for Small and Medium-Sized Enterprises’ Sustainable Development in the Areas of Blockchain Technology, Supply Chain Resilience, and Closed-Loop Supply Chains. Sustainability (Switzerland), 17(1), 1–22. https://doi.org/10.3390/su17010334 DOI: https://doi.org/10.3390/su17010334
Lerman, L. V., Benitez, G. B., Müller, J. M., de Sousa, P. R., & Frank, A. G. (2022). Smart green supply chain management: a configurational approach to enhance green performance through digital transformation. Supply Chain Management, 27(7), 147–176. https://doi.org/10.1108/SCM-02-2022-0059 DOI: https://doi.org/10.1108/SCM-02-2022-0059
Liu, K. S., & Lin, M. H. (2021). Performance assessment on the application of artificial intelligence to sustainable supply chain management in the construction material industry. Sustainability (Switzerland), 13(22). https://doi.org/10.3390/su132212767 DOI: https://doi.org/10.3390/su132212767
Liu, L., Song, W., & Liu, Y. (2023). Leveraging digital capabilities toward a circular economy: Reinforcing sustainable supply chain management with Industry 4.0 technologies. Computers and Industrial Engineering, 178(April 2022), 109113. https://doi.org/10.1016/j.cie.2023.109113 DOI: https://doi.org/10.1016/j.cie.2023.109113
Luqman, R., & Kouser, R. (2019). Cointegration and Causality Between Stock Prices and Exchange Rates: Empirical Evidence from Developed & Developing Economies. International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, 10(7), 887–896.
Mahmood, G., Ditta, A., Ramzan, M., & Abbas, Z. (2024). Role of Artificial Intelligence (AI) Adoption and Digital Transformation in Enhancing Sustainable Business Performance: The Mediating Effect of Green Product Innovation. Journal of Accounting and Finance in Emerging Economies, 10(4). DOI: https://doi.org/10.26710/jafee.v10i4.3172
Mahmood, G., Khakwani, M. S., Memon, M. A. B., & Abdullah, F. (2024). Sustainable Entrepreneurship in the Digital Age: Navigating Green Technology, Corporate Social Responsibility, and Financial Sustainability. Journal of Accounting and Finance in Emerging Economies, 10(2), 139–154. DOI: https://doi.org/10.26710/jafee.v10i2.2991
Marinagi, C., Reklitis, P., Trivellas, P., & Sakas, D. (2023). The Impact of Industry 4.0 Technologies on Key Performance Indicators for a Resilient Supply Chain 4.0. In Sustainability (Switzerland) (Vol. 15, Issue 6). https://doi.org/10.3390/su15065185 DOI: https://doi.org/10.3390/su15065185
Matarneh, S., Piprani, A. Z., Ellahi, R. M., Nguyen, D. N., Mai Le, T., & Nazir, S. (2024). Industry 4.0 technologies and circular economy synergies: Enhancing corporate sustainability through sustainable supply chain integration and flexibility. Environmental Technology and Innovation, 35(December 2023), 103723. https://doi.org/10.1016/j.eti.2024.103723 DOI: https://doi.org/10.1016/j.eti.2024.103723
Piprani, A. Z., Khan, S. A. R., & Yu, Z. (2024). Driving success through digital transformation: influence of Industry 4.0 on lean, agile, resilient, green supply chain practices. Journal of Manufacturing Technology Management, 35(6), 1175–1198. https://doi.org/10.1108/JMTM-05-2023-0179 DOI: https://doi.org/10.1108/JMTM-05-2023-0179
Qureshi, K. M., Mewada, B. G., Kaur, S., Alghamdi, S. Y., Almakayeel, N., Almuflih, A. S., & Qureshi, M. R. N. M. (2023). Sustainable Manufacturing Supply Chain Performance Enhancement through Technology Utilization and Process Innovation in Industry 4.0: A SEM-PLS Approach. Sustainability (Switzerland), 15(21). https://doi.org/10.3390/su152115388 DOI: https://doi.org/10.3390/su152115388
Rana, J. A., & Jani, S. Y. (2023). Enhancing sustainable supply chain performance by adopting sustainable lean six sigma-Industry 4.0 practices. Management of Environmental Quality: An International Journal, 34(4), 1198–1221. https://doi.org/10.1108/MEQ-04-2022-0122 DOI: https://doi.org/10.1108/MEQ-04-2022-0122
Rashid, A., Baloch, N., Rasheed, R., & Ngah, A. H. (2024). Big data analytics-artificial intelligence and sustainable performance through green supply chain practices in manufacturing firms of a developing country. Journal of Science and Technology Policy Management, 42–67. https://doi.org/10.1108/JSTPM-04-2023-0050 DOI: https://doi.org/10.1108/JSTPM-04-2023-0050
Rehman Khan, S. A., Ahmad, Z., Sheikh, A. A., & Yu, Z. (2022). Digital transformation, smart technologies, and eco-innovation are paving the way toward sustainable supply chain performance. Science Progress, 105(4). https://doi.org/10.1177/00368504221145648 DOI: https://doi.org/10.1177/00368504221145648
Seraj, M., Khan, O., Khan, M. Z., Parvez, M., Bhatt, B. K., Ullah, A., & Alam, M. T. (2022). Analytical research of artificial intelligent models for machining industry under varying environmental strategies: An industry 4.0 approach. Sustainable Operations and Computers, 3(January), 176–187. https://doi.org/10.1016/j.susoc.2022.01.006 DOI: https://doi.org/10.1016/j.susoc.2022.01.006
Sharma, R., Kamble, S., Mani, V., & Belhadi, A. (2024). An Empirical Investigation of the Influence of Industry 4.0 Technology Capabilities on Agriculture Supply Chain Integration and Sustainable Performance. IEEE Transactions on Engineering Management, 71, 12364–12384. https://doi.org/10.1109/TEM.2022.3192537 DOI: https://doi.org/10.1109/TEM.2022.3192537
Tao, Z., & Chao, J. (2024). Unlocking new opportunities in the industry 4.0 era, exploring the critical impact of digital technology on sustainable performance and the mediating role of GSCM practices. Innovation and Green Development, 3(3), 100160. https://doi.org/10.1016/j.igd.2024.100160 DOI: https://doi.org/10.1016/j.igd.2024.100160
Umar, M., Khan, S. A. R., Yusoff Yusliza, M., Ali, S., & Yu, Z. (2022). Industry 4.0 and green supply chain practices: an empirical study. International Journal of Productivity and Performance Management, 71(3), 814–832. https://doi.org/10.1108/IJPPM-12-2020-0633 DOI: https://doi.org/10.1108/IJPPM-12-2020-0633
Xie, Y., Yin, Y., Xue, W., Shi, H., & Chong, D. (2020). Intelligent supply chain performance measurement in Industry 4.0. Systems Research and Behavioral Science, 37(4), 711–718. https://doi.org/10.1002/sres.2712. DOI: https://doi.org/10.1002/sres.2712
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