Theoretical Perspectives on Sustainable Supply Chain Management and Digital Transformation: A Literature Review and a Conceptual Framework
Abstract
:1. Introduction
- How can an organization evaluate the economic, environmental, and social performance of its supply chain?
- How, and to what extent, is DT able to contribute to sustainable supply chain management objectives?
- How could this combination increase the performance of each pillar and lead to the development of specific strategies to increase business performance?
- The analysis of the literature and the clarification of the impact of DT (BT, BDA, and IoT) on SSCM.
- The use of theories contributing to the understanding and analysis of all thee pillars of sustainability.
- The development of a conceptual framework, based on the initial work of [9], showing that the combination of IT resources (embodying the three technologies of DT) with supply chain resources can lead to business capabilities and sustainability performances, affecting the development of sustainability strategies.
2. Literature Review
- Phase 1: Planning the review.
- Phase 2: Conducting the review.
- STEP 1: Search for articles by keywords.
- STEP 2: Narrow the article selection by reading the abstracts.
- STEP 3: Clarify the meanings and the relationships between them.
- STEP 4: Identify the gaps in the literature.
- STEP 5: Identify and study relevant theoretical approaches.
- STEP 6: Discuss the framework and results developed in this study, based on previous literature.
2.1. Sustainable Development and Companies
2.2. Definition of Sustainable Supply Chain Management
2.2.1. Environmental Pillar of Sustainable Supply Chain Management
2.2.2. Economic Pillar of Sustainable Supply Chain Management
2.2.3. Social Pillar of Sustainable Supply Chain Management
- equity
- safety
- labor rights
- philanthropy
- product responsibility
2.3. Digital Transformation in Supply Chains
2.3.1. Blockchain Technology and Supply Chains
2.3.2. Internet of Thing and Supply Chains
2.3.3. Big Data in Supply Chains
2.4. Research Gaps
3. Theories Examining the Impact of Information Systems on Supply Chain Management
3.1. Natural Resource Based View (N-RBV)
3.2. Stakeholder and Legitimacy Theory
3.3. Transaction Cost Theory
4. Conceptual Framework Development
4.1. Resources and Capabilities
4.2. Business Performance
4.2.1. Economic Performance
4.2.2. Environmental Performance
4.2.3. Social Performance
4.3. Sustainable Supply Chain Management Strategies
5. Discussion
6. Conclusions and Limitations
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Verhoef, P.C.; Broekhuizen, T.; Bart, Y.; Bhattacharya, A.; Dong, J.Q.; Fabian, N.; Haenlein, M. Digital transformation: A multidisciplinary reflection and research agenda. J. Bus. Res. 2021, 122, 889–901. [Google Scholar] [CrossRef]
- Loebbecke, C.; Picot, A. Reflections on societal and business model transformation arising from digitization and big data analytics: A research agenda. J. Strateg. Inf. Syst. 2015, 24, 149–157. [Google Scholar] [CrossRef]
- Brettel, M.; Bendig, D.; Keller, M.; Friederichsen, N.; Rosenberg, M. Effectuation in manufacturing: How entrepreneurial decision-making techniques can be used to deal with uncertainty in manufacturing. Procedia CIRP 2014, 17, 611–616. [Google Scholar] [CrossRef] [Green Version]
- Zhu, Z.; Lan, K.; Rao, Z.; Zhang, Y. Risk assessment method for IoT software supply chain vulnerabilities. J. Phys. Conf. Ser. 2021, 1732, 012051. [Google Scholar] [CrossRef]
- Dubey, R.; Gunasekaran, A.; Childe, S.J.; Bryde, D.J.; Giannakis, M.; Foropon, C.; Roubaud, D.; Hazen, B.T. Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations. Int. J. Prod. Econ. 2020, 226, 107599. [Google Scholar] [CrossRef]
- Papadopoulos, T.; Gunasekaran, A.; Dubey, R.; Altay, N.; Childe, S.J.; Fosso-Wamba, S. The role of Big Data in explaining disaster resilience in supply chains for sustainability. J. Clean. Prod. 2017, 142, 1108–1118. [Google Scholar] [CrossRef] [Green Version]
- Farahani, P.; Meier, C.; Wilke, J. Digital supply chain management agenda for the automotive supplier industry. In Shaping the Digital Enterprise, 1st ed.; Oswald, G., Kleinemeier, M., Eds.; Springer: Cham, Switzerland, 2017; pp. 157–172. [Google Scholar]
- Birkel, H.; Müller, J.M. Potentials of industry 4.0 for supply chain management within the triple bottom line of sustainability—A systematic literature review. J. Clean. Prod. 2021, 289, 125612. [Google Scholar] [CrossRef]
- Stroumpoulis, A.; Kopanaki, E.; Karaganis, G. Examining the Relationship between Information Systems, Sustainable SCM, and Competitive Advantage. Sustainability 2021, 13, 11715. [Google Scholar] [CrossRef]
- Yang, K.; Duan, T.; Feng, J.; Mishra, A.R. Internet of things challenges of sustainable supply chain management in the manufacturing sector using an integrated q-Rung Orthopair Fuzzy-CRITIC-VIKOR method. J. Enterp. Inf. Manag. 2021. [Google Scholar] [CrossRef]
- Jia, F.; Blome, C.; Sun, H.; Yang, Y.; Zhi, B. Towards an integrated conceptual framework of supply chain finance: An information processing perspective. Int. J. Prod. Econ. 2020, 219, 18–30. [Google Scholar] [CrossRef]
- Tranfield, D.; Denyer, D.; Smart, P. Towards a methodology for developing evidence-informed management knowledge by means of systematic review. Br. J. Manag. 2003, 14, 207–222. [Google Scholar] [CrossRef]
- Kilibarda, M.; Andrejić, M.; Popović, V. Research in logistics service quality: A systematic literature review. Transport 2020, 35, 224–235. [Google Scholar]
- Agatz, N.A.; Fleischmann, M.; Van Nunen, J.A. E-fulfillment and multi-channel distribution–A review. Eur. J. Oper. Res. 2008, 187, 339–356. [Google Scholar] [CrossRef] [Green Version]
- Bruntland, G. Our Common Future. The World Commission on Environment and Development. 1987, pp. 45–65. Available online: https://sswm.info/sites/default/files/reference_attachments/UN%20WCED%201987%20Brundtland%20Report.pdf (accessed on 27 February 2022).
- Roberts, P.W.; Dowling, G.R. Corporate reputation and sustained superior financial performance. Strateg. Manag. J. 2002, 23, 1077–1093. [Google Scholar] [CrossRef]
- Scheidel, A.; Temper, L.; Demaria, F.; Martínez-Alier, J. Ecological distribution conflicts as forces for sustainability: An overview and conceptual framework. Sustain. Sci. 2018, 13, 585–598. [Google Scholar] [CrossRef] [Green Version]
- Dempsey, N.; Bramley, G.; Power, S.; Brown, C. The social dimension of sustainable development: Defining urban social sustainability. Sustain. Dev. 2011, 19, 289–300. [Google Scholar] [CrossRef]
- Lehtonen, M. The environmental–social interface of sustainable development: Capabilities, social capital, institutions. Ecol. Econ. 2004, 49, 199–214. [Google Scholar] [CrossRef]
- Agyeman, J.; Bullard, R.D.; Evans, B. Exploring the nexus: Bringing together sustainability, environmental justice and equity. Space Polity 2002, 6, 77–90. [Google Scholar] [CrossRef]
- Pawłowski, A. How many dimensions does sustainable development have? Sustain. Dev. 2008, 16, 81–90. [Google Scholar] [CrossRef]
- Sheth, J.N.; Sethia, N.K.; Srinivas, S. Mindful consumption: A customer-centric approach to sustainability. J. Acad. Mark. Sci. 2011, 39, 21–39. [Google Scholar] [CrossRef]
- United Nations. Draft Outcome Document of the United Nations Summit for the Adoption of the Post-2015 Development Agenda; United Nations: New York, NY, USA, 2015. [Google Scholar]
- Kolk, A.; Kourula, A.; Pisani, N. Multinational enterprises and the Sustainable Development Goals: What do we know and how to proceed? Transnatl. Corp. 2017, 24, 9–32. [Google Scholar] [CrossRef]
- Kaab, A.; Sharifi, M.; Mobli, H.; Nabavi-Pelesaraei, A.; Chau, K.W. Combined life cycle assessment and artificial intelligence for prediction of output energy and environmental impacts of sugarcane production. Sci. Total Environ. 2019, 664, 1005–1019. [Google Scholar] [CrossRef] [PubMed]
- Hall, A. Social policies in the World Bank: Paradigms and challenges. Glob. Soc. Policy 2007, 7, 151–175. [Google Scholar] [CrossRef] [Green Version]
- Fitzpatrick, C. What is the difference between ‘desistance’and ‘resilience’? Exploring the relationship between two key concepts. Youth Justice 2011, 11, 221–234. [Google Scholar] [CrossRef]
- Al Amosh, H.A.M.; Mansor, N. Sustainability and corporate reporting: A review on environmental and social accounting disclosure. Int. J. Account. 2018, 3, 78–87. [Google Scholar]
- Van Zanten, J.A.; Van Tulder, R. Multinational enterprises and the Sustainable Development Goals: An institutional approach to corporate engagement. J. Int. Bus. Policy 2018, 1, 208–233. [Google Scholar] [CrossRef]
- Lacy, P.; Gupta, P.; Hayward, R. From incrementalism to transformation: Reflections on corporate sustainability from the UN global compact-Accenture CEO study. In Managing Sustainable Business; Springer: Berlin/Heidelberg, Germany, 2019; pp. 505–518. [Google Scholar]
- Miles, M.P.; Munilla, L.S. The potential impact of social accountability certification on marketing: A short note. J. Bus. Ethics 2004, 50, 1–11. [Google Scholar] [CrossRef]
- Mani, V.; Gunasekaran, A.; Delgado, C. Supply chain social sustainability: Standard adoption practices in Portuguese manufacturing firms. Int. J. Prod. Econ. 2018, 198, 149–164. [Google Scholar] [CrossRef]
- Żak, A. Triple bottom line concept in theory and practice. Soc. Responsib. Organ. Dir. Chang. 2015, 387, 251–264. [Google Scholar] [CrossRef] [Green Version]
- Isil, O.; Hernke, M.T. The triple bottom line: A critical review from a transdisciplinary perspective. Bus. Strategy Environ. 2017, 26, 1235–1251. [Google Scholar] [CrossRef]
- Elkington, J. The triple bottom line. Environ. Manag. Read. Cases 1997, 2, 49–66. [Google Scholar]
- Hart, S.L.; Milstein, M.B. Creating sustainable value. Acad. Manag. Perspect. 2003, 17, 56–67. [Google Scholar] [CrossRef]
- Farooq, Q.; Fu, P.; Liu, X.; Hao, Y. Basics of macro to microlevel corporate social responsibility and advancement in triple bottom line theory. Corp. Soc. Responsib. Environ. Manag. 2021, 28, 969–979. [Google Scholar] [CrossRef]
- Elkington, J. 25 years ago I coined the phrase “triple bottom line”. Here’s why it’s time to rethink it. Harv. Bus. Rev. 2018, 25, 2–5. [Google Scholar]
- Joshi, S.; Li, Y. What is corporate sustainability and how do firms practice it? A management accounting research perspective. J. Manag. Account. Res. 2016, 28, 1–11. [Google Scholar] [CrossRef] [Green Version]
- Gilbert, D.U.; Rasche, A.; Waddock, S. Accountability in a global economy: The emergence of international accountability standards. Bus. Ethics Q. 2011, 21, 23–44. [Google Scholar] [CrossRef]
- Moon, J. The contribution of corporate social responsibility to sustainable development. Sustain. Dev. 2007, 15, 296–306. [Google Scholar] [CrossRef]
- Carroll, A.B. A three-dimensional conceptual model of corporate performance. Acad. Manag. Rev. 1979, 4, 497–505. [Google Scholar] [CrossRef]
- Waddock, S. Building a new institutional infrastructure for corporate responsibility. Acad. Manag. Perspect. 2008, 22, 87–108. [Google Scholar] [CrossRef]
- Brunsson, N.; Rasche, A.; Seidl, D. The dynamics of standardization: Three perspectives on standards in organization studies. Organ. Stud. 2012, 33, 613–632. [Google Scholar] [CrossRef] [Green Version]
- Vigneau, L.; Humphreys, M.; Moon, J. How do firms comply with international sustainability standards? Processes and consequences of adopting the global reporting initiative. J. Bus. Ethics 2015, 131, 469–486. [Google Scholar] [CrossRef] [Green Version]
- Bhuniya, S.; Pareek, S.; Sarkar, B. A supply chain model with service level constraints and strategies under uncertainty. Alex. Eng. J. 2021, 60, 6035–6052. [Google Scholar] [CrossRef]
- Mentzer, J.T.; DeWitt, W.; Keebler, J.S.; Min, S.; Nix, N.W.; Smith, C.D.; Zacharia, Z.G. Defining supply chain management. J. Bus. Logist. 2002, 22, 1–25. [Google Scholar] [CrossRef]
- Lambert, D.M.; Croxton, K.L.; Garcia-Dastugue, S.J.; Knemeyer, M.; Rogers, D.S. Supply Chain Management Processes, Partnerships, Performance, 3rd ed.; Hartley Press Inc.: Jacksonville, FL, USA, 2006; p. 2. [Google Scholar]
- Mubarik, M.S.; Naghavi, N.; Mubarik, M.; Kusi-Sarpong, S.; Khan, S.A.; Zaman, S.I.; Kazmi, S.H.A. Resilience and cleaner production in industry 4.0: Role of supply chain mapping and visibility. J. Clean. Prod. 2021, 292, 126058. [Google Scholar] [CrossRef]
- Seuring, S.; Müller, M. From a literature review to a conceptual framework for sustainable supply chain management. J. Clean. Prod. 2008, 16, 1699–1710. [Google Scholar] [CrossRef]
- Carter, C.R.; Rogers, D.S. A framework of sustainable supply chain management: Moving toward new theory. Int. J. Phys. Distrib. Logist. Manag. 2008, 38, 360–387. [Google Scholar] [CrossRef]
- Varsei, M. Sustainable supply chain management: A brief literature review. J. Dev. Areas 2016, 50, 411–419. [Google Scholar] [CrossRef]
- Tseng, M.L. Modeling sustainable production indicators with linguistic preferences. J. Clean. Prod. 2013, 40, 46–56. [Google Scholar] [CrossRef]
- Seuring, S. A review of modeling approaches for sustainable supply chain management. Decis. Support Syst. 2013, 54, 1513–1520. [Google Scholar] [CrossRef]
- Zhu, Q.; Sarkis, J.; Lai, K.H. Institutional-based antecedents and performance outcomes of internal and external green supply chain management practices. J. Purch. Supply Manag. 2013, 19, 106–117. [Google Scholar] [CrossRef]
- Curkovic, S.; Sroufe, R. Using ISO 14001 to promote a sustainable supply chain strategy. Bus. Strategy Environ. 2011, 20, 71–93. [Google Scholar] [CrossRef]
- Srivastava, S.K. Green supply-chain management: A state-of-the-art literature review. Int. J. Manag. Rev. 2007, 9, 53–80. [Google Scholar] [CrossRef]
- Carvalho, H.; Govindan, K.; Azevedo, S.G.; Cruz-Machado, V. Modelling green and lean supply chains: An eco-efficiency perspective. Resour. Conserv. Recycl. 2017, 120, 75–87. [Google Scholar] [CrossRef]
- Gast, J.; Gundolf, K.; Cesinger, B. Doing business in a green way: A systematic review of the ecological sustainability entrepreneurship literature and future research directions. J. Clean. Prod. 2017, 147, 44–56. [Google Scholar] [CrossRef]
- Pagell, M.; Shevchenko, A. Why research in sustainable supply chain management should have no future. J. Supply Chain Manag. 2014, 50, 44–55. [Google Scholar] [CrossRef]
- Wu, Z.; Pagell, M. Balancing priorities: Decision-making in sustainable supply chain management. J. Oper. Manag. 2011, 29, 577–590. [Google Scholar] [CrossRef]
- Soriano, D.R.; Ross, A.D.; Parker, H.; del Mar Benavides-Espinosa, M.; Droge, C. Sustainability and supply chain infrastructure development. Manag. Decis. 2012, 50, 1891–1910. [Google Scholar]
- Yusuf, Y.Y.; Gunasekaran, A.; Musa, A.; El-Berishy, N.M.; Abubakar, T.; Ambursa, H.M. The UK oil and gas supply chains: An empirical analysis of adoption of sustainable measures and performance outcomes. Int. J. Prod. Econ. 2013, 146, 501–514. [Google Scholar] [CrossRef]
- Mani, V.; Gunasekaran, A.; Papadopoulos, T.; Hazen, B.; Dubey, R. Supply chain social sustainability for developing nations: Evidence from India. Resour. Conserv. Recycl. 2016, 111, 42–52. [Google Scholar] [CrossRef]
- Jorgensen, A.L.; Knudsen, J.S. Sustainable competitiveness in global value chains: How do small Danish firms behave? Corp. Gov. Int. J. Bus. Soc. 2006, 6, 449–462. [Google Scholar]
- Donaldson, T.; Preston, L.E. The stakeholder theory of the corporation: Concepts, evidence, and implications. Acad. Manag. Rev. 1995, 20, 65–91. [Google Scholar] [CrossRef]
- Sodhi, M.S. Conceptualizing social responsibility in operations via stakeholder resource-based view. Prod. Oper. Manag. 2015, 24, 1375–1389. [Google Scholar] [CrossRef]
- Hemingway, C.A. Personal values as a catalyst for corporate social entrepreneurship. J. Bus. Ethics 2005, 60, 233–249. [Google Scholar] [CrossRef]
- Wognum, P.N.; Bremmers, H.; Trienekens, J.H.; van der Vorst, J.G.; Bloemhof, J.M. Systems for sustainability and transparency of food supply chains–Current status and challenges. Adv. Eng. Inform. 2011, 25, 65–76. [Google Scholar] [CrossRef]
- Hall, J.; Matos, S. Incorporating impoverished communities in sustainable supply chains. Int. J. Phys. Distrib. Logist. Manag. 2010, 40, 124–147. [Google Scholar] [CrossRef]
- de Camargo Fiorini, P.; Jabbour, C.J.C. Information systems and sustainable supply chain management towards a more sustainable society: Where we are and where we are going. Int. J. Inf. Manag. 2017, 37, 241–249. [Google Scholar] [CrossRef] [Green Version]
- Wang, Y.; Chen, Y.; Benitez-Amado, J. How information technology influences environmental performance: Empirical evidence from China. Int. J. Inf. Manag. 2015, 35, 160–170. [Google Scholar] [CrossRef]
- Nadkarni, S.; Prügl, R. Digital transformation: A review, synthesis and opportunities for future research. Manag. Rev. Q. 2021, 71, 233–341. [Google Scholar] [CrossRef] [Green Version]
- Hartley, J.L.; Sawaya, W.J. Tortoise, not the hare: Digital transformation of supply chain business processes. Bus. Horiz. 2019, 62, 707–715. [Google Scholar] [CrossRef]
- Müller, J.M.; Veile, J.W.; Voigt, K.I. Prerequisites and incentives for digital information sharing in Industry 4.0–an international comparison across data types. Comput. Ind. Eng. 2020, 148, 106733. [Google Scholar] [CrossRef]
- Dalenogare, L.S.; Benitez, G.B.; Ayala, N.F.; Frank, A.G. The expected contribution of Industry 4.0 technologies for industrial performance. Int. J. Prod. Econ. 2018, 204, 383–394. [Google Scholar] [CrossRef]
- Schulz, S.A.; Flanigan, R.L. Developing competitive advantage using the triple bottom line: A conceptual framework. J. Bus. Ind. Mark. 2016, 31, 449–458. [Google Scholar] [CrossRef]
- Norman, W.; MacDonald, C. Getting to the bottom of “triple bottom line”. Bus. Ethics Q. 2004, 14, 243–262. [Google Scholar] [CrossRef] [Green Version]
- Hah, K.; Freeman, S. Multinational enterprise subsidiaries and their CSR: A conceptual framework of the management of CSR in smaller emerging economies. J. Bus. Ethics 2014, 122, 125–136. [Google Scholar] [CrossRef]
- Banerjee, A. Blockchain technology: Supply chain insights from ERP. Adv. Comput. 2018, 111, 69–98. [Google Scholar]
- Koh, S.L.; Gunasekaran, A.; Goodman, T. Drivers, barriers and critical success factors for ERPII implementation in supply chains: A critical analysis. J. Strateg. Inf. Syst. 2011, 20, 385–402. [Google Scholar] [CrossRef]
- Nayak, G.; Dhaigude, A.S. A conceptual model of sustainable supply chain management in small and medium enterprises using blockchain technology. Cogent Econ. Financ. 2019, 7, 1667184. [Google Scholar] [CrossRef]
- Dong, F.; Zhou, P.; Liu, Z.; Shen, D.; Xu, Z.; Luo, J. Towards a fast and secure design for enterprise-oriented cloud storage systems. Concurr. Comput. Pract. Exp. 2017, 29, e4177. [Google Scholar] [CrossRef]
- Saberi, S.; Kouhizadeh, M.; Sarkis, J.; Shen, L. Blockchain technology and its relationships to sustainable supply chain management. Int. J. Prod. Res. 2019, 57, 2117–2135. [Google Scholar] [CrossRef] [Green Version]
- Crosby, M.; Pattanayak, P.; Verma, S.; Kalyanaraman, V. Blockchain technology: Beyond bitcoin. Appl. Innov. 2016, 2, 71. [Google Scholar]
- Abeyratne, S.A.; Monfared, R.P. Blockchain ready manufacturing supply chain using distributed ledger. Int. J. Res. Eng. Technol. 2016, 5, 1–10. [Google Scholar]
- Stroumpoulis, A.; Kopanaki, E. The impact of Blockchain Technology in Sustainable Supply Chains. In Proceedings of the IPSERA Online Conference, Online, 29 March–1 April 2021. [Google Scholar]
- Atzori, L.; Iera, A.; Morabito, G. The internet of things: A survey. Comput. Netw. 2010, 54, 2787–2805. [Google Scholar] [CrossRef]
- Da Xu, L.; He, W.; Li, S. Internet of things in industries: A survey. IEEE Trans. Ind. Inform. 2014, 10, 2233–2243. [Google Scholar]
- Miorandi, D.; Sicari, S.; De Pellegrini, F.; Chlamtac, I. Internet of things: Vision, applications and research challenges. Ad Hoc Netw. 2012, 10, 1497–1516. [Google Scholar] [CrossRef] [Green Version]
- Wu, Z.; Wang, S.; Yang, H.; Zhao, X. Construction of a Supply Chain Financial Logistics Supervision System Based on Internet of Things Technology. Math. Probl. Eng. 2021, 2021, 9980397. [Google Scholar] [CrossRef]
- Tu, M.; Lim, M.K.; Yang, M.F. IoT-based production logistics and supply chain system—Part 1. Ind. Manag. Data Syst. 2018, 118, 65–95. [Google Scholar] [CrossRef]
- Rezaei, M.; Shirazi, M.A.; Karimi, B. IoT-based framework for performance measurement: A real-time supply chain decision alignment. Ind. Manag. Data Syst. 2017, 117, 688–712. [Google Scholar] [CrossRef]
- Tagarakis, A.C.; Benos, L.; Kateris, D.; Tsotsolas, N.; Bochtis, D. Bridging the Gaps in Traceability Systems for Fresh Produce Supply Chains: Overview and Development of an Integrated IoT-Based System. Appl. Sci. 2021, 11, 7596. [Google Scholar] [CrossRef]
- Björk, A.; Erlandsson, M.; Häkli, J.; Jaakkola, K.; Nilsson, Å.; Nummila, K.; Puntanen, V.; Sirkka, A. Monitoring environmental performance of the forestry supply chain using RFID. Comput. Ind. 2011, 62, 830–841. [Google Scholar] [CrossRef]
- Germani, M.; Landi, D.; Rossi, M. Efficiency and environmental analysis of a system for renewable electricity generation and electrochemical storage of residential buildings. Procedia CIRP 2015, 29, 839–844. [Google Scholar] [CrossRef]
- Addo-Tenkorang, R.; Helo, P.T. Big data applications in operations/supply-chain management: A literature review. Comput. Ind. Eng. 2016, 101, 528–543. [Google Scholar] [CrossRef]
- Hazen, B.T.; Skipper, J.B.; Ezell, J.D.; Boone, C.A. Big data and predictive analytics for supply chain sustainability: A theory-driven research agenda. Comput. Ind. Eng. 2016, 101, 592–598. [Google Scholar] [CrossRef]
- Manavalan, E.; Jayakrishna, K. A review of Internet of Things (IoT) embedded sustainable supply chain for industry 4.0 requirements. Comput. Ind. Eng. 2019, 127, 925–953. [Google Scholar] [CrossRef]
- Dubey, R.; Gunasekaran, A.; Papadopoulos, T.; Childe, S.J.; Shibin, K.T.; Wamba, S.F. Sustainable supply chain management: Framework and further research directions. J. Clean. Prod. 2017, 142, 1119–1130. [Google Scholar] [CrossRef] [Green Version]
- Gautam, A.; Chamoli, S.; Kumar, A.; Singh, S. A review on technical improvements, economic feasibility and world scenario of solar water heating system. Renew. Sustain. Energy Rev. 2017, 68, 541–562. [Google Scholar] [CrossRef]
- Wang, J.; Jia, Z.; Campos, L.A.; Cheng, L.; Knittle, C.; Chang, G.K. Delta-sigma digitization and optical coherent transmission of DOCSIS 3.1 signals in hybrid fiber coax networks. J. Lightwave Technol. 2017, 36, 568–579. [Google Scholar] [CrossRef]
- Decker, P. False Choices, Policy Framing, and the Promise of “Big Data”. Wall Str. J. 2013, 1–14. Available online: https://www.mathematica.org/-/media/publications/pdfs/appam_decker_address_11_01_13.pdf (accessed on 27 February 2022).
- Tseng, F.H.; Cho, H.H.; Wu, H.T. Applying big data for intelligent agriculture-based crop selection analysis. IEEE Access 2019, 7, 116965–116974. [Google Scholar] [CrossRef]
- Blazquez, D.; Domenech, J. Big Data sources and methods for social and economic analyses. Technol. Forecast. Soc. Chang. 2018, 130, 99–113. [Google Scholar] [CrossRef]
- Roßmann, B.; Canzaniello, A.; von der Gracht, H.; Hartmann, E. The future and social impact of Big Data Analytics in Supply Chain Management: Results from a Delphi study. Technol. Forecast. Soc. Chang. 2018, 130, 135–149. [Google Scholar] [CrossRef]
- Badiezadeh, T.; Saen, R.F.; Samavati, T. Assessing sustainability of supply chains by double frontier network DEA: A big data approach. Comput. Oper. Res. 2018, 98, 284–290. [Google Scholar] [CrossRef]
- Hult, G.T.M.; Hurley, R.F.; Knight, G.A. Innovativeness: Its antecedents and impact on business performance. Ind. Mark. Manag. 2004, 33, 429–438. [Google Scholar] [CrossRef]
- Bag, S.; Wood, L.C.; Xu, L.; Dhamija, P.; Kayikci, Y. Big data analytics as an operational excellence approach to enhance sustainable supply chain performance. Resour. Conserv. Recycl. 2020, 153, 104559. [Google Scholar] [CrossRef]
- Wamba, S.F.; Gunasekaran, A.; Akter, S.; Ren, S.J.F.; Dubey, R.; Childe, S.J. Big data analytics and firm performance: Effects of dynamic capabilities. J. Bus. Res. 2017, 70, 356–365. [Google Scholar] [CrossRef] [Green Version]
- Yu, M.; Yang, C.; Li, Y. Big data in natural disaster management: A review. Geosciences 2018, 8, 165. [Google Scholar] [CrossRef] [Green Version]
- Baryannis, G.; Validi, S.; Dani, S.; Antoniou, G. Supply chain risk management and artificial intelligence: State of the art and future research directions. Int. J. Prod. Res. 2019, 57, 2179–2202. [Google Scholar] [CrossRef]
- Nguyen, D.; Al Mannai, K.A.; Joty, S.; Sajjad, H.; Imran, M.; Mitra, P. Robust classification of crisis-related data on social networks using convolutional neural networks. In Proceedings of the International AAAI Conference on Web and Social Media, Montreal, QC, Canada, 15–18 May 2017. [Google Scholar]
- Yadav, G.; Luthra, S.; Jakhar, S.K.; Mangla, S.K.; Rai, D.P. A framework to overcome sustainable supply chain challenges through solution measures of industry 4.0 and circular economy: An automotive case. J. Clean. Prod. 2020, 254, 120112. [Google Scholar] [CrossRef]
- Liu, J.; Chen, M.; Liu, H. The role of big data analytics in enabling green supply chain management: A literature review. J. Data Inf. Manag. 2020, 2, 75–83. [Google Scholar] [CrossRef] [Green Version]
- Zelbst, P.J.; Green, K.W.; Sower, V.E.; Bond, P.L. The impact of RFID, IIoT, and Blockchain technologies on supply chain transparency. J. Manuf. Technol. Manag. 2019, 31, 441–457. [Google Scholar] [CrossRef]
- Jeble, S.; Dubey, R.; Childe, S.J.; Papadopoulos, T.; Roubaud, D.; Prakash, A. Impact of big data and predictive analytics capability on supply chain sustainability. Int. J. Logist. Manag. 2018, 29, 513–538. [Google Scholar] [CrossRef]
- Kouhizadeh, M.; Sarkis, J. Blockchain practices, potentials, and perspectives in greening supply chains. Sustainability 2018, 10, 3652. [Google Scholar] [CrossRef] [Green Version]
- Schmidt, C.G.; Wagner, S.M. Blockchain and supply chain relations: A transaction cost theory perspective. J. Purch. Supply Manag. 2019, 25, 100552. [Google Scholar] [CrossRef]
- Zhang, X.; Yu, Y.; Zhang, N. Sustainable supply chain management under big data: A bibliometric analysis. J. Enterp. Inf. Manag. 2020, 34, 427–445. [Google Scholar] [CrossRef]
- Paliwal, V.; Chandra, S.; Sharma, S. Blockchain technology for sustainable supply chain management: A systematic literature review and a classification framework. Sustainability 2020, 12, 7638. [Google Scholar] [CrossRef]
- Mageto, J. Big data analytics in sustainable supply chain management: A focus on manufacturing supply chains. Sustainability 2021, 13, 7101. [Google Scholar] [CrossRef]
- Mastos, T.D.; Nizamis, A.; Vafeiadis, T.; Alexopoulos, N.; Ntinas, C.; Gkortzis, D.; Papadopoulos, A.; Ioannidis, D.; Tzovaras, D. Industry 4.0 sustainable supply chains: An application of an IoT enabled scrap metal management solution. J. Clean. Prod. 2020, 269, 122377. [Google Scholar] [CrossRef]
- Esmaeilian, B.; Sarkis, J.; Lewis, K.; Behdad, S. Blockchain for the future of sustainable supply chain management in Industry 4.0. Resour. Conserv. Recycl. 2020, 163, 105064. [Google Scholar] [CrossRef]
- Varriale, V.; Cammarano, A.; Michelino, F.; Caputo, M. Sustainable supply chains with blockchain, IoT and RFID: A simulation on order management. Sustainability 2021, 13, 6372. [Google Scholar] [CrossRef]
- De Vass, T.; Shee, H.; Miah, S.J. Iot in supply chain management: A narrative on retail sector sustainability. Int. J. Logist. Res. Appl. 2021, 24, 605–624. [Google Scholar] [CrossRef]
- Badugu, S. An integrated approach using fuzzy logic and IoT for sustainable supply chain management. Int. J. Innov. Sci. Eng. Res. 2020, 7, 124–132. [Google Scholar]
- Nozari, H.; Fallah, M.; Szmelter-Jarosz, A. A conceptual framework of green smart IoT-based supply chain management. Int. J. Res. Ind. Eng. 2021, 10, 22–34. [Google Scholar]
- Cañas, H.; Mula, J.; Campuzano-Bolarín, F. A general outline of a sustainable supply chain 4.0. Sustainability 2020, 12, 7978. [Google Scholar] [CrossRef]
- Choi, T.M.; Luo, S. Data quality challenges for sustainable fashion supply chain operations in emerging markets: Roles of blockchain, government sponsors and environment taxes. Transp. Res. Part E Logist. Transp. Rev. 2019, 131, 139–152. [Google Scholar] [CrossRef]
- Mani, V.; Delgado, C.; Hazen, B.T.; Patel, P. Mitigating supply chain risk via sustainability using big data analytics: Evidence from the manufacturing supply chain. Sustainability 2017, 9, 608. [Google Scholar] [CrossRef] [Green Version]
- Yousefi, S.; Tosarkani, B.M. An analytical approach for evaluating the impact of blockchain technology on sustainable supply chain performance. Int. J. Prod. Econ. 2022, 246, 108429. [Google Scholar] [CrossRef]
- Erol, I.; Ar, I.M.; Peker, I. Scrutinizing blockchain applicability in sustainable supply chains through an integrated fuzzy multi-criteria decision-making framework. Appl. Soft Comput. 2022, 116, 108331. [Google Scholar] [CrossRef]
- Cetindamar, D.; Shdifat, B.; Erfani, E. Understanding big data analytics capability and sustainable supply chains. Inf. Syst. Manag. 2022, 39, 19–33. [Google Scholar] [CrossRef]
- Freeman, R.E.; Dmytriyev, S.D.; Phillips, R.A. Stakeholder theory and the resource-based view of the firm. J. Manag. 2021, 47, 1757–1770. [Google Scholar] [CrossRef]
- Wernerfelt, B. The resource-based view of the firm: Ten years after. Strateg. Manag. J. 1995, 16, 171–174. [Google Scholar] [CrossRef]
- Hart, S.L. A natural-resource-based view of the firm. Acad. Manag. Rev. 1995, 20, 986–1014. [Google Scholar] [CrossRef] [Green Version]
- Dyer, J.H.; Singh, H. The relational view: Cooperative strategy and sources of interorganizational competitive advantage. Acad. Manag. Rev. 1998, 23, 660–679. [Google Scholar] [CrossRef] [Green Version]
- Vachon, S.; Klassen, R.D. Environmental management and manufacturing performance: The role of collaboration in the supply chain. Int. J. Prod. Econ. 2008, 111, 299–315. [Google Scholar] [CrossRef]
- McDougall, N.; Wagner, B.; MacBryde, J. Leveraging competitiveness from sustainable operations: Frameworks to understand the dynamic capabilities needed to realise NRBV supply chain strategies. Supply Chain Manag. Int. J. 2021, 27, 12–29. [Google Scholar] [CrossRef]
- Duker, J.; Olugunna, M. Corporate Environmental Responsibility (CER): A Case of Logistics Companies in Sweden. Master’s Thesis, Upsala University, Department of Business Studies, Upsala, Sweeden, May 2014. [Google Scholar]
- Freeman, R.E.; Reed, D.L. Stockholders and stakeholders: A new perspective on corporate governance. Calif. Manag. Rev. 1983, 25, 88–106. [Google Scholar] [CrossRef]
- Ali, W.; Rizwan, M. Factors influencing corporate social and environmental disclosure (CSED) practices in the developing countries: An institutional theoretical perspective. Int. J. Asian Soc. Sci. 2013, 3, 590–609. [Google Scholar]
- Deegan, C.M. Legitimacy theory. Account. Audit. Account. J. 2019, 32, 2307–2329. [Google Scholar] [CrossRef]
- Mathews, M.R. Twenty-five years of social and environmental accounting research. Account. Audit. Account. J. 1997, 10, 481–531. [Google Scholar] [CrossRef]
- Gray, R.; Milne, M.J. It’s not what you do, it’s the way that you do it? Of method and madness. Crit. Perspect. Account. 2015, 32, 51–66. [Google Scholar] [CrossRef] [Green Version]
- Rosen, C.M.; Bercovitz, J.; Beckman, S. Environmental supply-chain management in the computer industry: A transaction cost economics perspective. J. Ind. Ecol. 2000, 4, 83–103. [Google Scholar] [CrossRef]
- D’aveni, R.A.; Ravenscraft, D.J. Economies of integration versus bureaucracy costs: Does vertical integration improve performance? Acad. Manag. J. 1994, 37, 1167–1206. [Google Scholar] [CrossRef]
- Mahapatra, S.K.; Narasimhan, R.; Barbieri, P. Strategic interdependence, governance effectiveness and supplier performance: A dyadic case study investigation and theory development. J. Oper. Manag. 2010, 28, 537–552. [Google Scholar] [CrossRef]
- Williamson, O.E. Comparative economic organization: The analysis of discrete structural alternatives. Adm. Sci. Q. 1991, 36, 269–296. [Google Scholar] [CrossRef] [Green Version]
- Carr, A.S.; Pearson, J.N. Strategically managed buyer–supplier relationships and performance outcomes. J. Oper. Manag. 1999, 17, 497–519. [Google Scholar] [CrossRef]
- Dyer, J.H. Effective interim collaboration: How firms minimize transaction costs and maximise transaction value. Strateg. Manag. J. 1997, 18, 535–556. [Google Scholar] [CrossRef]
- Grover, V.; Malhotra, M.K. Transaction cost framework in operations and supply chain management research: Theory and measurement. J. Oper. Manag. 2003, 21, 457–473. [Google Scholar] [CrossRef]
- Colbert, B.A.; Kurucz, E.C. Three conceptions of triple bottom line business sustainability and the role for HRM. People Strategy 2007, 30, 21. [Google Scholar]
- Chan, H.L.; Shen, B.; Cai, Y. Quick response strategy with cleaner technology in a supply chain: Coordination and win-win situation analysis. Int. J. Prod. Res. 2018, 56, 3397–3408. [Google Scholar] [CrossRef] [Green Version]
- Dao, V.; Langella, I.; Carbo, J. From green to sustainability: Information Technology and an integrated sustainability framework. J. Strateg. Inf. Syst. 2011, 20, 63–79. [Google Scholar] [CrossRef]
- Sezhiyan, D.M.; Page, T.; Iskanius, P. The impact of supply effort management, logistics capability, and supply chain management strategies on firm performance. Int. J. Electron. Transp. 2011, 1, 26–44. [Google Scholar] [CrossRef]
- Raghavan, N.S.; Mishra, V.K. Short-term financing in a cash-constrained supply chain. Int. J. Prod. Econ. 2011, 134, 407–412. [Google Scholar] [CrossRef]
- Rosencrance, L. Blockchain technology will help the world go green. Bitcoin Magazine, 9 May 2017. [Google Scholar]
- Bhattacharya, C.B.; Sen, S. Doing better at doing good: When, why, and how consumers respond to corporate social initiatives. Calif. Manag. Rev. 2004, 47, 9–24. [Google Scholar] [CrossRef]
- Dev, N.K.; Shankar, R.; Qaiser, F.H. Industry 4.0 and circular economy: Operational excellence for sustainable reverse supply chain performance. Resour. Conserv. Recycl. 2020, 153, 104583. [Google Scholar] [CrossRef]
- Maier, D.; Maftei, M.; Maier, A.; Biţan, G.E. A review of product innovation management literature in the context of organization sustainable development. Amfiteatru Econ. 2019, 21, 816–829. [Google Scholar] [CrossRef]
- Wisner, J.D. A structural equation model of supply chain management strategies and firm performance. J. Bus. Logist. 2003, 24, 1–26. [Google Scholar] [CrossRef]
- Degraeve, Z.; Labro, E.; Roodhooft, F. An evaluation of vendor selection models from a total cost of ownership perspective. Eur. J. Oper. Res. 2000, 125, 34–58. [Google Scholar] [CrossRef] [Green Version]
- King, B.G.; Soule, S.A. Social movements as extra-institutional entrepreneurs: The effect of protests on stock price returns. Adm. Sci. Q. 2007, 52, 413–442. [Google Scholar] [CrossRef] [Green Version]
- Gupta, H.; Kusi-Sarpong, S.; Rezaei, J. Barriers and overcoming strategies to supply chain sustainability innovation. Resour. Conserv. Recycl. 2020, 161, 104819. [Google Scholar] [CrossRef]
- Yu, Y.; Huo, B.; Zhang, Z.J. Impact of information technology on supply chain integration and company performance: Evidence from cross-border e-commerce companies in China. J. Enterp. Inf. Manag. 2021, 34, 460–489. [Google Scholar] [CrossRef]
- Sharma, M.; Kamble, S.; Mani, V.; Sehrawat, R.; Belhadi, A.; Sharma, V. Industry 4.0 adoption for sustainability in multi-tier manufacturing supply chain in emerging economies. J. Clean. Prod. 2021, 281, 125013. [Google Scholar] [CrossRef]
- Thöni, A.; Tjoa, A.M. Information technology for sustainable supply chain management: A literature survey. Enterp. Inf. Syst. 2017, 11, 828–858. [Google Scholar] [CrossRef]
Paper | Paper Contribution/Conclusions | Tech | Environmental | Social | Economic |
---|---|---|---|---|---|
Nayak, G.; Dhaigude, A. S. 2019 | “For supply chains to become sustainable, culture among the partnering firms plays a significant role, along with financial constraints and competition. Traditional supply chains are hit by self-optimizing behavior by various entities, resulting in poor performance. Lack of transparency and traceability are the key parameters that need to be addressed. This could be done by adopting Blockchain Technology, thereby creating an environment of trust and harmony.”, [82] p. 17 | BT | √ | ||
Manavalan E.; Jayakrishna K. 2019 | “…the vision of Industry 4.0 in SSC is that the entire business should be connected digitally; reduce the carbon footprint and help the stakeholders to take dynamic decisions on real time. IoT enables interconnecting the machines, components, devices and users within an enterprise. Further, it is not only to connect with one manufacturing site, by leveraging cloud and internet it should be possible connecting multiple sites forming many digital supply chain lines…”, [99] p. 945 | IoT | √ | √ | |
Saberi, S.; Kouhizadeh, M.; Sarkis, J.; Shen, L. 2019 | “Blockchains as distributed, immutable, transparent, and trustworthy databases, shared by a community, can also influence sustainable supply chain networks.”, p. 2122 “Economically, adopting blockchain technology can benefit a firm and its supply chain from different business dimensions affecting their economic performance.”, p. 2122 “Blockchain technology has the potential to contribute to social supply chain sustainability. Making information stable and immutable is one way of building supply chain social sustainability.”, p. 2122 “Blockchain technology also aids in environmental supply chain sustainability. It can do so from many different perspective applications.”, [84] p. 2123 | BT | √ | √ | √ |
Roßmann, B.; Canzaniello, A.; von der Gracht, H.; Hartmann, E. 2018 | “Taking these circumstances and developments into consideration, it is apparent that BDA will not only affect SCM operations but will also have an impact on SC relationships and social structures within SC functions.”, [106] p. 137 | BDA | √ | ||
Badiezadeh, T.; Saen, R. F.; Samavati, T. 2018 | “Big Data can be used to address environmental crises such as CO2 emission and air pollutants. We can have better understanding of environmental impacts on SSCM. Big Data can be used to evaluate social crises...”, [107] p. 288 | BDA | √ | √ | |
Bag, S.; Wood, L. C.; Xu, L.; Dhamija, P.; Kayikci, Y. 2020 | “These findings suggest that firms might use BDA and BD in their operations to developing a competitive edge, while also enhancing their supply chain innovativeness…”, p. 7 “Our results suggest a connection between the employee development and human capital of the organization and the sustainable supply chain outcomes.”, [109] p.7 | BDA | √ | ||
Tseng, M. L.; Wu, K. J.; Lim, M. K.; Wong, W. P. 2019 | “…big data are a basic attribute to improve SSCM performance, drive the environmental impact criteria, and control the firm’s economic benefits operational risk and social development activities related to firm performance.”, [104] p. 770 | BDA | √ | √ | √ |
Liu, J.; Chen, M.; Liu, H. 2020 | “…BDA techniques, such as data mining, can improve supply and demand visibility in the supply chain and enable collaboration within the supply chain network… firms can improve collaborative performance to attain sustainable development goals…” [115] p. 81 | BDA | √ | ||
Zelbst, P. J.; Green, K. W.; Sower, V. E.; Bond, P. L. 2019 | …RFID, IIoT and Blockchain technologies can be combined to enhance SCT. RFID is an established technology that supports the implementation of IIoT and Blockchain technologies. Our results show that the three technologies are complementary in that they combine to improve end-to-end transparency.”, [116] p. 454 | RFID, BDA, IoT | √ | ||
Jeble, S.; Dubey, R.; Childe, S. J.; Papadopoulos, T.; Roubaud, D.; Prakash, A. 2018 | “…BDPA as an organizational capability may help organization’s initiative to improve environmental, social and ECOP of the organization. The data analyses suggest that BDPA and EP, SP and ECOP are positively related.”, [117] pp. 527–528 | BDA | √ | √ | √ |
Kouhizadeh, M.; Sarkis, J. 2018 | “This accurate and secure data about vendors’ environmental performance help companies to improve their vendor selection processes based on green performance values. Using blockchain not only facilitates the vendor selection processes, but provides information regarding the whole supply chain across multiple tiers and sub-suppliers…”, [118] pp. 6 | BT | √ | √ | |
Schmidt, C. G.; Wagner, S. M. 2019 | “…blockchain might significantly reduce transaction and governance costs of supply chain transactions.”, [119] p. 11 | BT | √ | ||
Zhang, X.; Yu, Y.; Zhang, N. 2020 | “The big data-driven supply chain can fundamentally tap market demand and enable enterprises to timely adjust their market strategies. At the same time, the original information barrier is broken, so that the operating cost of the supply chain is reduced, and the long-term stable development of the enterprise is guaranteed.”, [120] p. 428 “Sustainable supply chain management within the context of big data has important research value and significance. The reform of enterprise supply chain management is closely related to innovation and economic development and environmental protection.”, [120] p. 442 | BDA | √ | √ | |
Hazen, B. T.; Skipper, J. B.; Ezell, J. D.; Boone, C. A. 2016 | “…BDPA resources and outputs can be leveraged to increase sustainability in the supply chain.”, [98] p. 593 | BDA | √ | √ | √ |
Wu, Z.; Wang, S.; Yang, H.; Zhao, X. 2021 | “The application of the Internet of Things technology improves the supervision mechanism of the logistics industry, makes the logistics supervision mechanism real time, and saves the human resources of the logistics department of the logistics industry.”, [91] p. 2 | IoT | √ | ||
Tagarakis, A. C.; Benos, L.; Kateris, D.; Tsotsolas, N.; Bochtis, D. 2021 | “Various sensor technologies, incorporated to IoT systems, support technologies involved in each stage of the food supply chain, hence, providing a more effective way for the purpose of recording and exchanging useful information.”, [94] p. 3 | IoT | √ | ||
Rezaei, M.; Shirazi, M. A.; Karimi, B. 2017 | “By reviewing 45 recent application papers of the SCOR model, they distinguished that while the SCOR model is suitable for SC financial performance evaluation, it is also a practical decision support tool for environmental assessment and competing decision alternatives along the chain.”, [93] p. 690 | IoT | √ | ||
Paliwal, V.; Shalini C.; Suneel S. 2020 | “…traceability and transparency as the key benefits of applying blockchain technology. They also indicate a heightened interest in blockchain-based information systems for sustainable supply chain management…”, [121] p. 1 “Blockchains that use a proof of stake system are less energy-intensive than those using evidence of the work system.”, p. 19 “Blockchain is gaining momentum in supply chain finance by supporting transactions around the globe…”, [121] p. 22 | BT | √ | √ | √ |
Mageto, J. 2021 | “BDA can help identify areas to improve in order to reduce operational costs, predict demand with accuracy, shape future demand with changing conditions and create supply chain resilience by minimizing disruptions and promoting all three dimensions of SSCM.”, [122] p. 20 | BDA | √ | √ | √ |
Mastos, T.D.; Nizamis, A.; Vafeiadis, T.; Alexopoulos, N.; Ntinas, C.; Gkortzis, D.; Papadopoulos, A.; Ioannidis, D.; Tzovaras, D. 2020 | “The use of IoT technologies that provide remote monitoring have a positive impact on the entire supply chain sustainability, since the resources are managed more efficiently and effectively.”, [123] p. 11 | IoT | √ | √ | √ |
Esmaeilian, B.; Sarkis, J.; Lewis, K.; Behdad, S. 2020 | “Blockchain can also: (1) facilitate paperwork processing in global container shipping; (2) identify counterfeit products in pharmacy supply chains; (3) facilitate origin tracking in the food supply chain for solving foodborne outbreak challenges, and (4) facilitate checking the status of sensor-equipped shipments in IoT enabled supply chains. These actions can all contribute to environmental and social sustainability.”, [124] p. 9 | BT, IoT | √ | √ | |
Varriale, V.; Cammarano, A.; Michelino, F.; Caputo, M. 2021 | “The combined use of these technologies allows to trade avoiding fraud or opportunistic behavior.”, [125] p. 15 “…the paper documentation is replaced by the digitization of information which allows a reduction in the waste of paper for bureaucratic procedures.”, [125] p. 15 “Blockchain allows reduced delivery times, faster monitoring of goods and can reduce potential losses due to human error and the use of unnecessary bureaucratic activities.”, [125] p. 17 | IoT, BT, RFID | √ | √ | √ |
Yang, K.; Duan, T.; Feng, J.; Mishra, A.R. 2021 | “…this paper investigated the most important challenges that individual firms and entire SSCs might face while applying IoT. This study can provide a deep insight regarding the effects of IoT upon SSCM and the issues every firm need to contemplate when it has to apply IoT solutions.”, [10] p. 23 | IoT | |||
De Vass, T.; Shee, H.; Miah, S.J. 2021 | “IoT-enabled SCM had improved the retail firms’ financial performance by fostering growth, reducing costs, and representing a positive return on investment. Environmental sustainability impact is evidenced primarily due to paperless operations, reduced carbon footprints, reduced energy consumption, waste minimisation, and recycling. Further, the social performance was realised by improved safety and job satisfaction, creating communities, and new job opportunities, which may transform into longstanding value. Moreover, IoT applications free up retailers’ time that is allocated more on productive and innovative tasks, and planning activities.”, [126] p. 620 | IoT | √ | √ | √ |
Yadav, S.; Luthra, S.; Garg, D. 2021 | “The research develops an IoT-based multi-tier sustainable food security model for integrating sustainable and global AFSC… may help in the reduction of GHG emission from lower-tier/upstream and food wastage for attaining environmental- and socioeconomic- based global sustainability within AFSC.”, [114] p. 16648 | IoT | √ | √ | √ |
Badugu, S. 2020 | “The paper offers a forum for community decision-making to promote fuzzy-based decision making for IoT (FBDM-IoT) and consistently monitor results. Risk, cost, validation time, reliability and accuracy based analyzes have been performed. The proposed FBDM system minimized risks and costs over traditional CM because of cooperation and efficient decision-making.”, [127] p. 131 | IoT | √ | ||
Nozari, H.; Fal-lah, M.; Szmelter-Jarosz, A. 2021 | “Organizations gain competitive advantage by improving the environmental role of IoT and by adhering to environmental laws and standards, enhancing customer knowledge and reducing negative environmental impacts on their products and services. Since the supply chain is one of the most important organizational units and covers a large range of organizational processes from supply and supplier relationships and then to manufacturing processes and ultimately to sales, distribution and customer relationships, so considering environmental parameters in the supply chain can play an important role in the sustainability and greening of human life environment…”, [128] p. 26 | IoT | √ | ||
Cañas, H.; Mula, J.; Campuzano-Bolarín, F. 2020 | “Therefore, it is relevant to the research of the sustainable supply chain 4.0, i.e., to adopt management practices for manufacturing supply chains that contemplate sustainability and address the digital transformation toward I4.0.”, [129] p. 17 | √ | √ | √ | |
Choi, T.M.; Luo, S. 2019 | “As blockchain’s implementation requires both a fixed cost and a variable operations cost, we have found the necessary and sufficient condition under which blockchain is helpful to improve social welfare. However, there are cases in which blockchain can improve social welfare but lead to a drop of supply chain profit. This creates a dilemma. In order to achieve “win win”, we have demonstrated and shown mathematically that the government can provide a sponsor to the fashion retailer for the implementation of blockchain. In addition, the government can consider implementing the environment taxation waiving scheme.”, [130] p. 149 | BT | √ | ||
Mani, V.; Delgado, C.; Hazen, B.T.; Patel, P. Yousefi, S.; Tosarkani, B.M. 2017 | “…it can assist supply chain domain’s practitioners in adopting big data knowledge so they will be able to not only predict and mitigate the issues but also build sustainable supply chains.”, [131] p. 17 | BDA | √ | √ | |
Yousefi, S.; Tosarkani, B.M. 2022 | “Blockchain technology can support responsible sourcing and ensure compliance with environmental standards by boosting traceability and transparency in sustainable supply chains.”, [132] p. 1 | BT | √ | √ | |
Erol, I.; Ar, I.M.; Peker, I. 2022 | “Blockchain has the potential to revolutionize supply chain towards economic, social and environmental sustainability.”, [133] p. 2 | BT | √ | √ | √ |
Cetindamar, D.; Shdifat, B.; Erfani, E. 2022 | “BDAC is expected to have a positive impact on improving social performance by increasing health & safety, employment benefits, labor rights, diversity, training & education, community involvement, and human rights implementation & integration.”, [134] p. 28 “BDACs are expected to have a positive impact on improving environmental performance by increasing both pollution control and resource utilization that will result in less waste and less pollution.”, [134] p. 28 “BDACs are expected to have a positive impact on improving economic performance by decreasing delivery time in the supply chain, reducing the costs, increasing the quality of outputs, and augmenting profit.”, [134] p. 29 | BDA | √ | √ | √ |
The paper’s approach | Firstly, DT can contribute to the environmental pillar of sustainability, since it can provide the ability to control and monitor the emissions and can contribute to the recall and rework. Secondly, DT can contribute to the social pillar of SCM, since it. supports the accuracy of data and provides the groups of stakeholders with real time information, ensuring transparency and traceability inside the supply chain. Thirdly, DT can also affect the economic pillar of sustainability by supporting the efficiency of operations, leading to cost cutting and providing a better image of the financial flows inside the supply chain and between trading partners. | BDA, BT, IoT | √ | √ | √ |
Performances | Theory/Technology | BT | IoT | BDA |
---|---|---|---|---|
Environmental | N-RBV | ✔ | ✔ | ✔ |
Economic | Transaction Cost | ✔ | ✔ | |
Social | Legitimacy | ✔ | ||
Stakeholder | ✔ | ✔ |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Stroumpoulis, A.; Kopanaki, E. Theoretical Perspectives on Sustainable Supply Chain Management and Digital Transformation: A Literature Review and a Conceptual Framework. Sustainability 2022, 14, 4862. https://doi.org/10.3390/su14084862
Stroumpoulis A, Kopanaki E. Theoretical Perspectives on Sustainable Supply Chain Management and Digital Transformation: A Literature Review and a Conceptual Framework. Sustainability. 2022; 14(8):4862. https://doi.org/10.3390/su14084862
Chicago/Turabian StyleStroumpoulis, Asterios, and Evangelia Kopanaki. 2022. "Theoretical Perspectives on Sustainable Supply Chain Management and Digital Transformation: A Literature Review and a Conceptual Framework" Sustainability 14, no. 8: 4862. https://doi.org/10.3390/su14084862
APA StyleStroumpoulis, A., & Kopanaki, E. (2022). Theoretical Perspectives on Sustainable Supply Chain Management and Digital Transformation: A Literature Review and a Conceptual Framework. Sustainability, 14(8), 4862. https://doi.org/10.3390/su14084862