{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T21:36:57Z","timestamp":1776807417097,"version":"3.51.2"},"reference-count":82,"publisher":"Emerald","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,12,4]]},"abstract":"<jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>The main goal of this research is to analyze and assess the barriers to Digital Transformation (DT) of the healthcare Supply Chain (SC) in developing countries and evaluate strategies to overcome such barriers. The DT has been related not only to the development of SC performance but also to the expansion of its resilience capabilities in a healthcare setting to overcome the results of unavoidable risk events and return to its previous or new state, which has at least the same or better conditions, after the occurrence of an unpredicted event.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design\/methodology\/approach<\/jats:title>\n                    <jats:p>Assessment of the barriers and determination of the importance or effectiveness of proposed strategies to handle these barriers are conducted through a hybrid Multi-Criteria-Decision-Making method consisting of an Analytical Hierarchy Process and multi-attributive border approximation area comparison (MABAC) under picture fuzzy (PiF) environment.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Findings<\/jats:title>\n                    <jats:p>Based on the outcomes of the research, the most important barriers for DT in healthcare SC functions were the organizational and technological issues, including Low support from top managers (O1), Lack of digital culture (O2), and Info\/data safety and privacy (T4). To handle these barriers, the prior strategy was selected as \u201cMaking breakthroughs and incentives of top managers for the DT in the industry (ST3)\u201d.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Research limitations\/implications<\/jats:title>\n                    <jats:p>The study may be extended to include developed countries and or experts from developed countries. Through this, the study will be generalized to a global level. The most common qualitative criteria, which include subjectivity, are considered. The research may be enhanced by including quantitative criteria in the decision-making process. The barriers related to DT for healthcare SC were considered. Thus, the study may be detailed by looking at the problem in terms of operational failure and determining the digital technology that can overcome such operational failures. The precedence or importance of any barrier may fluctuate with the upgradation of technological tools and improvements.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Practical implications<\/jats:title>\n                    <jats:p>In terms of practical contribution, this research provides real-world suggestions to facilitate digital transformation in their SCs. Specifically, this study increases the awareness of healthcare and other industries' managers about obstacles that prevents digital transformation in SC and provides managerial path to relieve the effects of barriers.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Originality\/value<\/jats:title>\n                    <jats:p>To the authors' best knowledge, this is the first study to examine barriers of DT required for the promotion of resilient healthcare SCs in this concept. In addition, no previous research applied PiFSs-based AHP and MABAC integration to assess barriers and develop strategies for the DT of healthcare SC. The findings may be references for governmental institutions, policymakers, decision-makers, and stakeholders to develop proper strategies for a successful DT in healthcare SC resilience and the healthcare industry.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1108\/jeim-09-2023-0466","type":"journal-article","created":{"date-parts":[[2024,8,13]],"date-time":"2024-08-13T11:49:41Z","timestamp":1723549781000},"page":"1157-1186","source":"Crossref","is-referenced-by-count":9,"title":["Analyzing barriers and strategies in digital transformation for resilient SC in healthcare using AHP and MABAC under uncertain environment"],"prefix":"10.1108","volume":"38","author":[{"given":"Sukran","family":"Seker","sequence":"first","affiliation":[{"name":"Yildiz Technical University Department of Industrial Engineering, , ,","place":["Istanbul, T\u00fcrkiye"]}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3621-0619","authenticated-orcid":true,"given":"Nezir","family":"Aydin","sequence":"additional","affiliation":[{"name":"College of Science and Engineering, Hamad Bin Khalifa University , ,","place":["Doha, Qatar"]},{"name":"Yildiz Technical University Department of Industrial Engineering, , ,","place":["Istanbul, T\u00fcrkiye"]}]}],"member":"140","published-online":{"date-parts":[[2024,8,14]]},"reference":[{"key":"2025120302513446800_ref001","doi-asserted-by":"publisher","first-page":"489","DOI":"10.1016\/j.future.2018.08.035","article-title":"A framework for risk assessment, management and evaluation: economic tool for quantifying risks in supply chain","volume":"90","author":"Abdel-Basset","year":"2019","journal-title":"Future Generation Computer Systems"},{"issue":"2","key":"2025120302513446800_ref002","doi-asserted-by":"publisher","first-page":"363","DOI":"10.1108\/ijlm-04-2021-0232","article-title":"Development of sustainable and resilient healthcare and non-cold pharmaceutical distribution supply chain for COVID-19 pandemic: a case study","volume":"34","author":"Abdolazimi","year":"2023","journal-title":"The International Journal of Logistics Management"},{"issue":"3","key":"2025120302513446800_ref003","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1080\/16258312.2020.1816361","article-title":"Digital supply chain: challenges and future directions","volume":"21","author":"Ageron","year":"2020","journal-title":"Supply Chain Forum: An International Journal"},{"issue":"1","key":"2025120302513446800_ref004","doi-asserted-by":"publisher","first-page":"1","DOI":"10.15388\/22-infor493","article-title":"Prioritization of supply chain DT strategies using multi-expert Fermatean fuzzy analytic hierarchy process","volume":"34","author":"Alkan","year":"2023","journal-title":"Informatica"},{"key":"2025120302513446800_ref005","doi-asserted-by":"publisher","DOI":"10.1016\/j.imu.2023.101199","article-title":"Identifying resilience strategies for disruption management in the healthcare supply chain during COVID-19 by digital innovations: a systematic literature review","volume":"38","author":"Arji","year":"2023","journal-title":"Informatics in Medicine Unlocked"},{"issue":"2","key":"2025120302513446800_ref006","doi-asserted-by":"publisher","first-page":"373","DOI":"10.1007\/s00574-018-0103-y","article-title":"Different approaches to multi-criteria group decision making problems for picture fuzzy environment. 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