Artificial intelligence-driven innovation for enhancing supply chain resilience and performance under the effect of supply chain dynamism: an empirical investigation

Abstract

Supply chain resilience (SCRes) and performance have become increasingly important in the wake of the recent supply chain disruptions caused by subsequent pandemics and crisis. Besides, the context of digitalization, integration, and globalization of the supply chain has raised an increasing awareness of advanced information processing techniques such as Artificial Intelligence (AI) in building SCRes and improving supply chain performance (SCP). The present study investigates the direct and indirect effects of AI, SCRes, and SCP under a context of dynamism and uncertainty of the supply chain. In doing so, we have conceptualized the use of AI in the supply chain on the organizational information processing theory (OIPT). The developed framework was evaluated using a structural equation modeling (SEM) approach. Survey data was collected from 279 firms representing different sizes, operating in various sectors, and countries. Our findings suggest that while AI has a direct impact on SCP in the short-term, it is recommended to exploit its information processing capabilities to build SCRes for long-lasting SCP. This study is among the first to provide empirical evidence on maximizing the benefits of AI capabilities to generate sustained SCP. The study could be further extended using a longitudinal investigation to explore more facets of the phenomenon.

Is artificial intelligence an enabler of supply chain resiliency post COVID-19? An exploratory state-of-the-art review for future research

“…In another study, the short-term and long-term strategies were adopted, and the SCR model was developed by using sequential mixed-method for resilience evaluation, Financial Impact (FI) analysis, and integrating Time-to-Recovery (TTR). The results of the study supported the advanced use of industry 4.0 technologies in mitigating the risks related to the pandemic, also big data analytics play a crucial role in supply chain activities by providing real-time information to reduce disruptions (Belhadi et al 2021b ). Moreover, it is recommended that at the retail store level, companies should implement a contactless payment system to ensure safety measures (Mollenkopf et al 2020 ).…”

How Does Digital Transformation Improve Organizational Resilience?—Findings from PLS-SEM and fsQCA

“…Second, this article contributes to knowledge about organizational resilience. Existing literature has mainly emphasized digital transformation's impact on supply chain resilience [6] and platform ecosystem resilience [8]. Nevertheless, there is no empirical study analyzing the impact of digital transformation on organizational resilience in the management literature.…”

“…According to the functional school, digitalization is an effective way for enterprises to resist risks [5] and facilitates the enterprise's ability to comprehend and adapt to changing environmental contexts. For instance, big data form the basis for the analysis and processing of data [6]. In addition, AI and other digital technologies are able to assist enterprises to form intelligent decisions in a crisis and promote enterprise supply chain resilience [7] and platform ecosystem resilience [8].…”

A structured literature review on the interplay between emerging technologies and COVID-19 – insights and directions to operations fields

“…In this vein, organizations and the whole society can benefit from a wide range of disruptive digital technologies (M. Gupta et al, 2021 ; Spanaki et al, 2021 ) to face an exceptional event like COVID-19. These include artificial intelligence (Belhadi et al, 2021 ; Fosso Wamba, Bawack, et al, 2021 ), blockchain (Dubey, Gunasekaran, Bryde, et al, 2020 ; Wamba & Queiroz, 2020 ), big data analytics (Dubey, Gunasekaran, Childe, et al, 2020 ; Fosso Wamba, Queiroz, et al, 2020 ), the internet of things (A. Sinha et al, 2019 ), 5G (Siriwardhana et al, 2020 ), 3d printing (Belhouideg, 2020 ), virtual reality (Mao et al, 2020 ), augmented reality (Sahu et al, 2020 ), digital twin applications (Ivanov & Dolgui, 2020 ), as well as the Industry 4.0 applications (Kumar & Singh, 2021 ; Queiroz, Ivanov et al, 2020 ).…”