AI-enabled Integration in the Supply Chain
A Solution in the Digitalization Era
Keywords:Supply Chain Integration, Information Sharing, Artificial Intelligence, Textile and Garment, Supply Chain Resilience, Risk Management
Artificial Intelligence (AI) is getting increased attention from various manufacturing industries, including fashion and textiles, due to its ability to work effectively, similar to human intelligence. This Systematic Literature Review (SLR) paper proposes potential future research directions that emphasize the impacts of AI on supply chain integration (SCI) efforts through information sharing (IS). A structured literature review of articles in the 2010-2021 period, addressing geographic location, journals, publishers, authors, research designs, and applied theories, has been used to prepare this paper. The additional discussion of AI incorporates information from the structured review to conclude the findings and suggest future research directions. The authors have used the Scopus database and prestigious peer-reviewed journals to search for relevant papers using suitable keywords. This paper concluded that the Asian region has the highest concentration of publications and that AI adoption positively affects the IS-SCI relationship. Empirical quantitative research design and resource-based view theory are prominent among the reviewed publications. This SLR paper is limited by not having the impacts of AI discussed at the subset level.
Akbari, M. (2018). Logistics outsourcing: a structured literature review. Benchmarking: An International Journal, 25(5), 1548-1580.
Akbari, M. and Do, T.N.A. (2021). A systematic review of machine learning in logistics and supply chain management: current trends and future directions. Benchmarking: An International Journal, 28(10), 2977-3005.
Akbari, M., & Hopkins, J. L. (2022). Digital technologies as enablers of supply chain sustainability in an emerging economy. Operations Management Research, (In-Press), 1-22.
Akbari, M., & McClelland, R. (2020). Corporate social responsibility and corporate citizenship in sustainable supply chain: a structured literature review. Benchmarking: An International Journal, 26(6), 1799-1841.
Alfalla-Luque, R., Medina-Lopez, C. and Dey, P.K. (2013). Supply chain integration framework using literature review. Production Planning & Control, 24(8-9), 800-817.
Bastas, A. and Liyanage, K. (2018). Sustainable supply chain quality management: A systematic review. Journal of Cleaner Production, 181, 726-744.
Benzidia, S., Makaoui, N. and Bentahar, O. (2021). The impact of big data analytics and artificial intelligence on green supply chain process integration and hospital environmental performance. Technological Forecasting and Social Change, 165, 120557.
Carter, C. G. & Rogers, D. S. (2008). A framework of sustainable supply chain management: moving toward new theory. International Journal of Physical Distribution & Logistics Management, 38(5), 360-387.
Chen, I. J. & Paulraj, A. (2004). Towards a theory of supply chain management: the constructs and measurements. Journal of Operations Management, 22, 119-150.
Cheng, L., & Yu, T. (2019). A new generation of AI: A review and perspective on machine learning technologies applied to smart energy and electric power systems. International Journal of Energy Research, 43(6), 1928-1973.
Copeland, B.J., Proudfoot, D. (2007) Artificial Intelligence: History, foundations, and philosophical issues. Philosophy of Psychology and Cognitive Science, Elsevier. 429–482.
Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48(1), 24-42.
De Vass, T., Shee, H. and Miah, S.J. (2018). The effect of “Internet of Things” on supply chain integration and performance: An organizational capability perspective. Australasian Journal of Information Systems, 22, 1-29.
Delic, M., Eyers, D.R. and Mikulic, J. (2019). Additive manufacturing: empirical evidence for supply chain integration and performance from the automotive industry. Supply Chain Management: An International Journal, 24(5), 604-621.
Ding, H., Gao, R. X., Isaksson, A. J., Landers, R. G., Parisini, T., & Yuan, Y. (2020). State of AI-based monitoring in smart manufacturing and introduction to focused section. IEEE/ASME Transactions on Mechatronics, 25(5), 2143-2154.
Dubey, R., Gunasekaran, A., Childe, S. J., Blome, C., & Papadopoulos, T. (2019). Big data and predictive analytics and manufacturing performance: integrating institutional theory, resource‐based view and big data culture. British Journal of Management, 30(2), 341-361.
Feng, M., Yu, W., Chavez, R., Mangan, J. and Zhang, X. (2017). Guanxi and operational performance: the mediating role of supply chain integration. Industrial Management & Data Systems, 117(8), 1650-1668.
Fletcher, E. (2009). Its implications for the delivery of an accurate, timely and rational space surveillance and tracking system. 6th European Space Weather Week, 1-16.
Flynn, B.B., Huo, B. and Zhao, X. (2010). The impact of supply chain integration on performance: A contingency and configuration approach. Journal of Operations Management, 28(1), 58-71.
Ha, N, Akbari, M., and Au, B. (2022). Last mile delivery in logistics and supply chain management: a bibliometric analysis and future directions. Benchmarking: An International Journal, (In-Press), 1-34.
Han, J., Lu, H., Trienekens, J.H. and Omta, S.W.F.(O). (2013) . The impact of supply chain integration on firm performance in the pork processing industry in China. Chinese Management Studies, 7(2), 230-252.
Hariri, R. H., Fredericks, E. M., & Bowers, K. M. (2019). Uncertainty in big data analytics: survey, opportunities, and challenges. Journal of Big Data, 6(1), 1-16.
Huo, B. (2012). The impact of supply chain integration on company performance: on organizational capability perspective. Supply Chain Management: An International Journal, 17(6), 596-610.
Iyer, L. S. (2021). AI enabled applications towards intelligent transportation. Transportation Engineering, 5, 100083.
Jacobs, M.A., Yu, W. and Chavez, R. (2016). The effect of internal communication and employee satisfaction on supply chain integration. International Journal of Production Economics, 171, 60-70.
Keith, O. R. & Webber, M. D. (1982). Supply Chain Management: Logistics Catches up with strategy. Outlook, 5(1), 42-47Kim, H.J. (2017). Information technology and firm performance: the role of supply chain integration. Operations Management Research, 10(1-2), 1-9.
Kong, T., Feng, T. and Huo, B. (2021). Green supply chain integration and financial performance: A social contagion and information sharing perspective. Business Strategy and the Environment, 30, 2255-2270.
Kotsiopoulos, T., Sarigiannidis, P., Ioannidis, D., & Tzovaras, D. (2021). Machine learning and deep learning in smart manufacturing: the smart grid paradigm. Computer Science Review, 40, 100341.
Kumar, V., Chibuzo, E.N., Garza-Reyes, J.A., Kumari, A., Rocha-Lona, L. and Lopez-Torres, G.C. (2017). The impact of supply chain integration on performance: Evidence from the UK food sector. Procedia Manufacturing, 11, 814-821.
Lau, A.K., Yam, R. and Tang, E.P. (2010). Supply chain integration and product modularity: An empirical study of product performance for selected Hong Kong manufacturing industries. International Journal of Operations & Production Management, 30(1), 20-56.
Leuschner, R., Rogers, D. S. & Charvet, F. F. (2013). A Meta-analysis of supply chain integration and firm performance. Journal of Supply Chain Management, 49(2), 34-57.
Liu, H., Ke, W., Wei, K. K. & Hua, Z. (2013). Effects of supply chain integration and market orientation on firm performance: Evidence from China. International Journal of Operations & Production Management, 33, 322-346.
Liu, H., Wei, S., Ke, W., Wei, K.K. and Hua, Z. (2016). The configuration between supply chain integration and information technology competency: A resource orchestration perspective. Journal of Operations Management, 44, 13-29.
Malviya, R. K., & Kant, R. (2015). Green supply chain management (GSCM): a structured literature review and research implications. Benchmarking: An international journal, 22(7), 1360-1394.
Mandal, S. (2018). An examination of the importance of big data analytics in supply chain agility development: A dynamic capability perspective. Management Research Review, 41(10), 1201-1219.
Mentzer, J. T. (2004). Supply Chain Management. In: A. Bruckner, ed. Fundamentals of Supply Chain Management: Twelve drivers of competitive advantage. Thousand Oaks, California: Sage Publications Inc., p. 16.Mora-Monge, C., Quesada, G., Gonzalez, M.E. and Davis, J.M. (2019). Trust, power and supply chain integration in Web-enabled supply chains. Supply Chain Management: An International Journal, 24(4), 524-539.
Nguyen, X., Doan, T. and Hoang, V. (2020). The impact of global supply chain management on performance: Evidence from Textile and garment industry. Uncertain Supply Chain Management, 8(1), 17-26.
Phan, T., Doan, X. and Nguyen, T. (2020). The impact of supply chain practices on performance through supply chain integration in textile and garment industry of Vietnam. Uncertain Supply Chain Management, 8(1), 175-186.
Pollock, N. (2000). The virtual university as 'timely and accurate information. Information, Communication & Society, 3(3), 349-365.
Poola, I. (2017). How artificial intelligence in impacting real life everyday. International Journal for Advance Research and Development, 2(10), 96-100.
Prajogo, D. & Olhager, J. (2012). Supply chain integration and performance: The effects of long-term relationships, information technology and sharing, and logistics integration. International Journal Of Production Economics, 135, 514-522.
Rodríguez, G., Gonzalez-Cava, J. M., & Méndez Pérez, J. A. (2020). An intelligent decision support system for production planning based on machine learning. Journal of Intelligent Manufacturing, 31(5), 1257-1273.
Rodríguez, M. Á., Alemany, M. M. E., Boza, A., Cuenca, L., & Ortiz, Á. (2020). Artificial Intelligence in Supply Chain Operations Planning: Collaboration and Digital Perspectives. In Working Conference on Virtual Enterprises. Springer, 365-378.
Sacristán-Díaz, M., Garrido-Vega, P. and Moyano-Fuentes, J. (2018). Mediating and non-linear relationships among supply chain integration dimensions. International Journal of Physical Distribution & Logistics Management, 48(7), 698-723.
Shee, H., Miah, S.J., Fairfield, L. and Pujawan, N. (2018). The impact of cloud-enabled process integration on supply chain performance and firm sustainability: the moderating role of top management. Supply Chain Management: An International Journal, 23(6), 500-517.
Singh, P.J. and Power, D. (2014). Innovative knowledge sharing, supply chain integration and firm performance of Australian manufacturing firms. International Journal of Production Research, 52(21), 6416-6433.
Song, G., Song, S. and Sun, L. (2019). Supply chain integration in omni-channel retailing: a logistics perspective. The International Journal of Logistics Management, 50(1), 101-121.
Sooriyamudalige, N., Domingo, N., Shahzad, W. and Childerhouse, P. (2020). Barriers and enablers for supply chain integration in prefabricated elements manufacturing in New Zealand. International Journal of Construction Supply Chain Management, 10(1), 73-91.
Steven, G. C. & Johnson, M. (2016). Integrating the supply chain ... 25 years on. International Journal of Physical Distribution and Logistics Management, 46(1), 19-42.
Sundram, V.P.K., Chandran, V.G.R. and Bhatti, M.A. (2016). Supply chain practices and performance: the indirect effects of supply chain integration. Benchmarking: An International Journal, 23(6), 1445-1471.
Sundram, V.P.K., Chhetri, P. and Bahrin, A.S. (2020). The consequences of information technology, information sharing and supply chain integration, towards supply chain performance and firm performance. Journal of International Logistics and Trade, 18(1), 15-31.
Tian, M., Huo, B., Park, Y. and Kang, M. (2021). Enablers of supply chain integration: a technology-organization-environment view. Industrial Management & Data Systems, 121(8), 1871-1895.
Van Pham, H. (2020). A proposal of expert system using deep learning neural networks and fuzzy rules for diagnosing heart disease. In Frontiers in intelligent computing: theory and applications. Springer, 1013, 189-198.
Vanpoucke, E., Vereecke, A. and Muylle, S. (2017). Leveraging the impact of supply chain integration through information technology. International Journal of Operations & Production Management, 37(4), 510-530.
Wang, W.Y. and Chan, H.K. (2010). Virtual organization for supply chain integration: Two cases in the textile and fashion retailing industry. International Journal of Production Economics, 127(2), 333-342.
Wiengarten, F., Humphreys, P., Gimenez, C. & McIvor, R. (2016). Risk, risk management practices, and the success of supply chain integration. International Journal of Production Economics, 171, 361-370.
Wu, J., Zhang, P., Zhang, L., Meng, W., Li, J., Tong, C., ... & Li, S. (2020). Rapid and accurate identification of COVID-19 infection through machine learning based on clinical available blood test results. MedRxiv
Yu, K., Luo, B.N., Feng, X. and Liu, J. (2018). Supply chain information integration, flexibility, and operational performance. The International Journal of Logistics Management 29(1), 340-364.
Yu, W., Chavez, R., Jacobs, M., Wong, C.Y. and Yuan, C. (2019). Environmental scanning, supply chain integration, responsiveness, and operational performance. International Journal of Operations & Production Management, 39(5), 787-814.
Yunus, E. N. & Tadasina, S. K. (2016). Drivers of supply chain integration and role of organizational culture - Empirical evidence from Indonesia. Business Process Management Journal, 22(1), 89-115.
Zhang, M., Lettice, F., Chan, H.K. and Nguyen, H.T. (2018). Supplier integration and firm performance: the moderating effects of internal integration and trust. Production Planning & Control, 29(10), 802-813.
Zhao, X., Wang, P. and Pal, R. (2021). The effects of agro-food supply chain integration on product quality and financial performance: Evidence from Chinese agro-food processing business. International Journal of Production Economics, 231, 107832.
Zhu, Q., Krikke, H. and Caniels, M.C. (2018). Supply chain integration: value creation through managing inter-organizational learning. International Journal of Operations & Production Management, 38(1), 211-229.
Zolait, A.H., Ibrahim, A.R., Chandran, V.G.R. and Sundram, V.P.K. (2010). Supply chain integration: an empirical study on manufacturing industry in Malaysia. Journal of Systems and Information Technology, 12(3), 210-221.
How to Cite
Copyright (c) 2022 Manh-Kha Kieu, Rajkishore Nayak, Mohammadreza Akbari
This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.
- Creative Commons Attribution (CC BY): lets others distribute and copy the article, to create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, even for commercial purposes, as long as they credit the author(s), do not represent the author as endorsing their adaptation of the article, and do not modify the article in such a way as to damage the author's honour or reputation.
- Creative Commons Attribution-NonCommercial-NoDerivs (CC BY-NC-ND): for non-commercial purposes, lets others distribute and copy the article, and to include in a collective work (such as an anthology), as long as they credit the author(s) and provide they do not alter or modify the article.