Singh, Sudhanshu, Verma, Rakesh and Koul, Saroj (2017)
Managing critical supply chain issues in Indian healthcare.
    In: e 5th International Conference on Information Technology and  Quantitative Management, ITQM 2017., 8 December 2017 through 10 December, New Delhi.
  
(2017)
Managing critical supply chain issues in Indian healthcare.
    In: e 5th International Conference on Information Technology and  Quantitative Management, ITQM 2017., 8 December 2017 through 10 December, New Delhi.
  
  
  
Managing critical supply chain issues in Indian healthcare 2017.pdf - Published Version
Download (596kB) | Preview
Abstract
This exploratory study proposes a new approach that utilized pre-built issues libraries in healthcare supply chain. Supply chain related issues are collected and deduced from the literature to build issues libraries. This is followed by application of group decision-making for their prioritization and defining solution requirements from doctors’ perspectives. A new approach of shared decision-making is proposed by utilizing literature for developing pre-built issues libraries as an input to shared decision-making. Quick identification and resolution mean that an organization is continually learning and moving towards excellence. It can be used as a checklist for comparison within and across organizations. Usage of open source applications such as Google Sheets and WhatsApp was utilized for geographically dispersed experts.
| Item Type: | Conference or Workshop Item (Paper) | 
|---|---|
| Keywords: | Supply Chain | Healthcare | Hospital, Issues | Issue-Based Decision-Making | India | 
| Subjects: | Social Sciences and humanities > Business, Management and Accounting > General Management | 
| JGU School/Centre: | Jindal Global Business School | 
| Depositing User: | Users 4 not found. | 
| Date Deposited: | 27 Jan 2022 09:47 | 
| Last Modified: | 28 Jan 2022 03:41 | 
| Official URL: | https://doi.org/10.1016/j.procs.2017.11.375 | 
| URI: | https://pure.jgu.edu.in/id/eprint/901 | 
Downloads
Downloads per month over past year
