| Title | Reviewing the applications of artificial intelligence in sustainable supply chains: Exploring research propositions for future directions |
|---|---|
| ID_Doc | 71297 |
| Authors | Naz, F; Agrawal, R; Kumar, A; Gunasekaran, A; Majumdar, A; Luthra, S |
| Title | Reviewing the applications of artificial intelligence in sustainable supply chains: Exploring research propositions for future directions |
| Year | 2022 |
| Published | Business Strategy And The Environment, 31.0, 5 |
| Abstract | The sustainable supply chain (SSC) has received significant attention worldwide in the last few years because it integrates sustainability dimensions into its process. Recent artificial intelligence (AI)-based advancements in technology make it possible to overcome many problems associated with supply chain (SC) networks. The current study was performed to explore the role of AI in establishing an SSC. The research contribution in the field of AI and SSC was examined through a systematic literature review. A total of 353 articles were gathered from the Scopus database in the selected research field. A big data-based approach, namely, structural topic modelling (STM), was applied to generate emerging thematic topics from shortlisted articles of AI in SSC. Moreover, using R package, a bibliometric analysis was conducted to examine the research trends in the field of AI in SSC. The research trends were then analysed, with generated thematic topics discussed. The proposed research framework can help researchers and practitioners to develop an SSC model using AI-based techniques. Propositions for future research are given and implications are suggested. |
| https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/bse.3034 |
Similar Articles
| ID | Score | Article |
|---|---|---|
23450
|
Mahajan, PS; Agrawal, R; Raut, RD State-of-the-art perspectives on data-driven sustainable supply chain: A bibliometric and network analysis approach(2023) | |
| 69352
|
Naz, F; Kumar, A; Majumdar, A; Agrawal, R Is artificial intelligence an enabler of supply chain resiliency post COVID-19? An exploratory state-of-the-art review for future research(2022)Operations Management Research, 15.0, 1-2 | |
| 19264
|
Chalmeta, R; Santos-deLeón, NJ Sustainable Supply Chain in the Era of Industry 4.0 and Big Data: A Systematic Analysis of Literature and Research(2020)Sustainability, 12.0, 10 | |
| 6392
|
Jabbour, CJC; Fiorini, PD; Ndubisi, NO; Queiroz, MM; Piato, ÉL Digitally-enabled sustainable supply chains in the 21st century: A review and a research agenda(2020) | |
| 13648
|
Nikseresht, A; Golmohammadi, D; Zandieh, M Empirical modeling approaches in sustainable supply chain management: A review with bibliometric and network analyses(2024) | |
| 75183
|
Reefke, H; Sundaram, D Key themes and research opportunities in sustainable supply chain management - identification and evaluation(2017) | |
| 18652
|
Nimsai, S; Yoopetch, C; Lai, P Mapping the Knowledge Base of Sustainable Supply Chain Management: A Bibliometric Literature Review(2020)Sustainability, 12.0, 18 | |
| 14766
|
Lis, A; Sudolska, A; Tomanek, M Mapping Research on Sustainable Supply-Chain Management(2020)Sustainability, 12, 10 | |
| 10569
|
Chauhan, C; Ul Akram, M; Patky, J; Chauhan, A Mapping pathways for building resilient supply chains: A systematic literature review(2023) | |
| 15780
|
Hao, XY; Demir, E Artificial intelligence in supply chain decision-making: an environmental, social, and governance triggering and technological inhibiting protocol(2024)Journal Of Modelling In Management, 19, 2 |