EconPapers    
Economics at your fingertips  
 

Leveraging the industry 4.0 technologies for improving agility of project procurement management processes

Santosh B. Rane () and Yahya A. M. Narvel ()
Additional contact information
Santosh B. Rane: Sardar Patel College of Engineering, Bhavan’s Campus
Yahya A. M. Narvel: Sardar Patel College of Engineering, Bhavan’s Campus

International Journal of System Assurance Engineering and Management, 2021, vol. 12, issue 6, No 10, 1146-1172

Abstract: Abstract Recently, due to continually varying demands and shorter time to market, the existing Project Procurement Management (PPM) processes are incapable of coping up with the pace. There is a need of an agile model to manage procurement projects effectively. This article aims to developing strategies for executing the PPM processes with more agility by leveraging the capabilities and merits of industry 4.0 technologies along with selective Critical Success Factors (CSFs). For improving agility in PPM, this study identifies CSFs from the literature and experts’ review, the CSFs were then prioritized based on their significance, followed by establishing relationships and exploring interactions among CSFs using Total Interpretitive Structureal Modelling (TISM) and Fuzzy Cross-Impact Matrix Multiplication Applied to Classification (MICMAC). Furthermore, an agile project implementation plan was developed based on the findings of TISM and FuzzyMICMAC, which provides a systematic approach for strategically achieving the CSFs. Lastly, strategies were developed to improve agility in key processes of PPM by utilizing the new-age technologies Industry 4.0 like Internet of Things (IOT), Mobility, Business Intelligence, Blockchain, Chatbot, Robotic Process Automation (RPA) and other technologies. The strategies and the agile project implementation plan thus developed as an outcome of this research can be leveraged by industries of various domains for improving agility in any of their business processes.

Keywords: Project procurement management; Business intelligence; Industry 4.0; Agility (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://link.springer.com/10.1007/s13198-021-01331-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ijsaem:v:12:y:2021:i:6:d:10.1007_s13198-021-01331-4

Ordering information: This journal article can be ordered from
http://www.springer.com/engineering/journal/13198

DOI: 10.1007/s13198-021-01331-4

Access Statistics for this article

International Journal of System Assurance Engineering and Management is currently edited by P.K. Kapur, A.K. Verma and U. Kumar

More articles in International Journal of System Assurance Engineering and Management from Springer, The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:ijsaem:v:12:y:2021:i:6:d:10.1007_s13198-021-01331-4