Insights into the Publication Trends of Pharmaceutical Reverse Supply Chain Using Data Mining Approach
- Title
- Insights into the Publication Trends of Pharmaceutical Reverse Supply Chain Using Data Mining Approach
- Creator
- Shrikumar, M.; Kurien, Georgy P.; Saha, Saibal Kumar
- Description
- Due to the non-profitable nature of reverse supply chain of pharmaceutical products, researchers and companies have not shown much interest in this field. Due to stringent regulatory compliances pharmaceutical companies and hospitals are mandated for proper disposal of pharmaceutical wastes. This research aims to highlight the publication trends of pharmaceutical reverse supply chain using data mining approach. The metadata of published literature was extracted from Scopus and analysis was done for the title and abstracts of the articles. It was found that there is limited published literature on this topic. Co-occurrence map of text-based data, time graph of co-occurrence map of text, trigrams word cloud, keywords plus word cloud and unigrams word cloud were formed to get insights into the publication trend. A model had been proposed from the consumers end for pharmaceutical reverse supply chain. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
- Source
- Lecture Notes in Networks and Systems;Volume;1865 LNNS;pp.286-296
- Date
- 01-01-2026
- Publisher
- Springer Science and Business Media Deutschland GmbH
- Subject
- data mining; end of life; end of use; pharmaceutical; reverse supply chain
- Coverage
- Shrikumar M., Christ University, Bangalore, India; Kurien G.P., Christ University, Bangalore, India; Saha S.K., Xavier Business School, St. Xaviers University, Kolkata, India
- Rights
- Restricted Access; Hardcopy may be available in the library
- Relation
- ISSN: 23673370; ISBN: 978-303219184-7;
- Format
- online
- Language
- English
- Type
- Conference paper
Collection
Citation
Shrikumar, M.; Kurien, Georgy P.; Saha, Saibal Kumar, “Insights into the Publication Trends of Pharmaceutical Reverse Supply Chain Using Data Mining Approach,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 19, 2026, https://archives.christuniversity.in/items/show/25404.
