| Title | Artificial intelligence-driven supply chain resilience in Vietnamese manufacturing small- and medium-sized enterprises |
|---|---|
| ID_Doc | 23433 |
| Authors | Dey, PK; Chowdhury, S; Abadie, A; Yaroson, EV; Sarkar, S |
| Title | Artificial intelligence-driven supply chain resilience in Vietnamese manufacturing small- and medium-sized enterprises |
| Year | 2024 |
| Published | International Journal Of Production Research, 62, 15 |
| Abstract | Despite the exponential growth of artificial intelligence (AI) research in operations, supply chain, and productions management literature, empirical insights on how organisational behavioural mechanisms at the human-technology interface will facilitate AI adoption in small- and medium-sized enterprises (SMEs), and subsequent impact of the adoption on sustainable practices and supply chain resilience (SCR) is under-researched. To bridge these gaps, we integrate resource orchestration and knowledge-based view theoretical perspectives to develop a novel structural model examining antecedents to SCR and AI adoption, considering AI adoption as a pivot for facilitating SCR. The structural equation modelling technique was employed on the data collected from 280 Vietnamese manufacturing SMEs' operations managers. Our results demonstrate that leadership will drive AI adoption by creating a data-driven, digital and conducive culture, and strengthening employee skills and competencies. Furthermore, AI adoption positively influences CE practices, SC agility and risk management, which will help to achieve SCR. For managers, the importance of internal organisational employee-centric mechanisms to create value from AI adoption without impeding business value is highlighted. We reveal the enablers that will help in transforming SMEs to become resilient by deriving appropriate responses to unprecedented disruptions through data-driven decision-making leveraging AI adoption. |
Similar Articles
| ID | Score | Article |
|---|---|---|
70244
|
Gani, MO; Yoshi, T; Rahman, MS Optimizing firm's supply chain resilience in data-driven business environment(2023)Journal Of Global Operations And Strategic Sourcing, 16, 2 | |
| 18634
|
Barhmi, A; Laghzaoui, S; Slamti, F; Rouijel, MR Digital learning, big data analytics and mechanisms for stabilizing and improving supply chain performance(2024)Ijispm-International Journal Of Information Systems And Project Management, 12.0, 2 | |
| 71046
|
Nayal, K; Raut, RD; Queiroz, MM; Priyadarshinee, P Digital Supply Chain Capabilities: Mitigating Disruptions and Leveraging Competitive Advantage Under COVID-19(2023) | |
| 68600
|
Eryarsoy, E; Torgalöz, AÖ; Acar, MF; Zaim, S A resource-based perspective of the interplay between organizational learning and supply chain resilience(2022)International Journal Of Physical Distribution & Logistics Management, 52, 8 | |
| 65601
|
Sharma, M; Antony, R; Sharma, A; Daim, T Can smart supply chain bring agility and resilience for enhanced sustainable business performance?(2024) | |
| 10569
|
Chauhan, C; Ul Akram, M; Patky, J; Chauhan, A Mapping pathways for building resilient supply chains: A systematic literature review(2023) | |
| 78190
|
Badghish, S; Soomro, YA Artificial Intelligence Adoption by SMEs to Achieve Sustainable Business Performance: Application of Technology-Organization-Environment Framework(2024)Sustainability, 16, 5 |