Our structured literature review reveals the current state-of-the-art supply chain performance evaluation models (SCPEMs) from the last 21 years of research. Seventy related papers from the 2000 to 2021 time period were found to contribute by using ISI and SCOPUS databases. This paper has classified SCPEMs in terms of focus area and the perspective considered (financial and non-financial). With the analysis, these models’ applicability in today’s business environment pinpointed the most usable models and their current shortcomings. Findings disclose current SCPEMs limitations and misalignments with the emerging disruptive technologies observed in today’s supply chains. Given the findings, this study has highlighted the lack of overall supply chain performance evaluation and the failure to underline the underperforming decision criteria in the SC network. Therefore, to tackle these gaps, the authors have suggested visibility, leagility, collaboration, digitalization, sustainability, and integration as SCM characteristics to be considered in the future when developing a novel SCPEM. Finally, this study can be used as guidance for future studies.
This study examined the association between digital transformation (DT), supply chain integration (SCI), and overall sustainable supply chain performance (OSSCP). The current literature has preliminarily explored the concepts of DT and SCI and their relationship with sustainable supply chain performance. However, real empirical evidence of the direct impact of DT and SCI on OSSCP has been missing so far. To fill this gap, data were collected from 134 professionals working in international manufacturing companies operating in Morocco through a questionnaire-based survey from August 2022 to November 2022. A conceptual framework was developed based on DT, SCI, and OSSCP and analyzed by partial least squares structural equation modeling (PLS-SEM) with the assistance of SmartPLS 4.0 software. The findings revealed that DT has a significant positive influence on SCI and OSSCP. Furthermore, SCI directly and positively impacts OSSCP with a partial mediation effect on the relationship between DT and OSSCP. Further, this research provides insights for practitioners into enhancing sustainable supply chain performance by adopting digital technologies and integrating SC functions. In particular, this study revealed that DT adoption drives a higher ethical supply chain level from the perspective of sustainability and efficiency in operations. This study is the first to analyze the influence of digital transformation and supply chain integration on sustainable supply chain performance in a manufacturing context.
In today's manufacturing industry, digital transformation has become a focal point for academia and practitioners due to its potential to drive supply chain management and sustainability outcomes. This transformation provides numerous opportunities to improve strategic, tactical, and operational capabilities to meet sustainability goals. However, the high level of uncertainty associated with digital transformation programs has created doubts among many manufacturing companies about the successful adoption of digital transformation in their supply chain processes. While previous studies have examined digital transformation technologies and their implementations in supply chains, little attention has been given to the drivers and barriers associated with adopting digital technologies for sustainable supply chains, especially in the context of manufacturing. Therefore, this study aims to fill this gap by providing a comprehensive overview of digital transformation adoption in manufacturing supply chains and identifying the critical drivers and barriers to successful digital transformation implementation. A total of six barriers and eleven drivers have been selected from the literature. Finally, this study provides insights for decision-makers to overcome the main barriers that hinder the successful implementation of digital technologies in supply chain functions, which can lead to a higher ethical supply chain level from a sustainability and operational efficiency perspective.
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