Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Singh, Twinkle; Poulose, Jeanne; Sharma, Vinod Title A name given to the resource Redefining digital transformation in service supply chain: the missing piece of big data analytics Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived International Journal of Business Performance and Supply Chain Modelling;Volume;15;Issue;4;pp.396-414 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1504/IJBPSCM.2025.150389" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJBPSCM.2025.150389</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105024891171?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105024891171?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Singh T., School of Business and Management, Christ University, Bengaluru, 560029, India; Poulose J., School of Business and Management, Christ University, Bengaluru, 560029, India; Sharma V., Symbiosis Centre for Management and Human Resource Development (SCMHRD), Symbiosis International (Deemed University), Pune, 411057, India Description An account of the resource The study delves into the transformative role of big data analytics (BDA) in supply chain management within the service industry, employing the PRISMA framework to systematically review literature published between 2011 and 2024. A comprehensive search across multiple databases identified 286 relevant studies, which were meticulously analysed through bibliometric techniques. Keyword and network analyses, conducted using VOSViewer, revealed critical research linkages, prominent technologies, and thematic patterns within the domain. The findings underscore the pivotal role of technology integration in enhancing the efficiency of service supply chains, with a particular emphasis on emerging technologies such as blockchain, artificial intelligence, and machine learning. By highlighting the interconnectedness of authors, identifying key themes through keyword analysis, and uncovering research patterns through frequency analysis, the study provides valuable insights into the integration of BDA, ultimately contributing to the advancement of supply chain management in the service industry. Copyright 2025 Inderscience Enterprises Ltd. Subject The topic of the resource BDA; big data analytics; digital transformation; service industry; service supply chain; supply chain management Publisher An entity responsible for making the resource available Inderscience Publishers Relation A related resource ISSN: 17589401; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online