Table 2.
Summary of research gaps and contribution of our study.
| Authors | Contribution | Methodology | Research Gap | Our Contributions |
|---|---|---|---|---|
| Zhang et al. (2017) | Developed supplier’s CSR capabilities in a pharmaceutical supply chain | Case study | Lack of empirical validation of findings. | As this study expands the literature in the healthcare supply chain, we see a growing need to understand how digitalization enables HSC and how these case studies play a role in AI technology adoption. As AI adoption is in its nascent stage, especially in the context of HSC, it lacks a decision support system framework that uses an integrated theoretical as well as MCDM approach (i.e., TOEH framework and novel rough-SWARA), which can assist various stakeholders in understanding the importance of Key Success Factors (CSFs) for the successful AI adoption in HSC. Therefore, it is of great importance for HSC practitioners to understand the potential of AI adoption. Furthermore, this study partially addresses the need by Nguyen et al. (2021) for future studies on the need for additional empirical investigation of AI adoption in the transition to an HSC. |
| Wang et al. (2018) | Examined intricacies of big data analytics in healthcare organizations | Content analysis | Lack of focus on the human dimension. | |
| Marques et al. (2020) | Conducted meta-synthesis of current research in supply chain management in the healthcare sector | Systematic Literature Review | Addressing network-level analysis of flows | |
| Rehman and Ali (2021) | Prioritized resilience strategies for healthcare supply chains | Fuzzy analytical hierarchy process (AHP) | Conducted in a general perspective. | |
| Beaulieu and Bentahar (2021) | Identified initiatives for the digitalization of HSC | Literature review | Validation of research findings from decision-makers. | |
| Chauhan et al. (2022) | Identified and grouped vital success factors relevant to telemedicine services | DEMATEL, BWM, VIKOR | Absence of interrelations of crucial success factors within each criterion. | |
| Saha et al. (2022) | Investigated the role of emerging technologies on pharmaceutical supply chain performance | Structural Equation Modeling | In this study, the authors addressed the barriers to emerging technologies but lacked a clear framework for critical success factors for technology adoption. |