Unveiling the role of sustainable supply chain drivers toward knowledge-based economy via a novel permutation approach: implications from an emerging economy

Saeid Alaei (), Seyed Hossein Razavi Hajiagha (), Hannan Amoozad Mahdiraji () and Jose Arturo Garza-Reyes ()
Additional contact information
Saeid Alaei: Khatam University
Seyed Hossein Razavi Hajiagha: Khatam University
Hannan Amoozad Mahdiraji: University of Birmingham
Jose Arturo Garza-Reyes: The University of Derby

Operations Management Research, 2023, vol. 16, issue 3, No 11, 1250 pages

Abstract: Abstract Knowledge-based supply chains (KBSC) focus on cutting-edge technologies of industry 4.0 and are highly focused on knowledge and human-centric skills. On this account, their prominent role in the context of knowledge economies is undoubtedly confirmed. On the other hand, many scholars and activists have considered the sustainability triple bottom line (TBL) theory as the fundamental pillar of development, including the economy, environment, and society. As a result, the main purpose of this study is to demonstrate the role of sustainable supply chain drivers (SSCDs) in achieving a knowledge-based economy. To this aim, after extraction of the main features of the knowledge-based economy (KBE) and sustainable supply chain drivers from relevant literature, a new method based on an efficient mixed-integer linear programming (MILP) model is developed to relax the computational complexity of the classical QUALIFLEX (QUALItative FLEXible multiple criteria method) in dealing with the problem with more alternatives. The results presented that among identified features of KBE, the literacy rate, life-long training, learning, and technical publications per capita are essential features. Furthermore, long-term orientation, globalization process, and professional associations are the most crucial supply chain sustainability drivers. These findings can empower organizations to prepare for moving toward sustainability in a knowledge-based economy environment.

Keywords: Knowledge-based economy; Supply chain management; Sustainability drivers; OPT-QUALIFLEX; Sensitivity analysis (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s12063-023-00380-1 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:opmare:v:16:y:2023:i:3:d:10.1007_s12063-023-00380-1

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/12063

DOI: 10.1007/s12063-023-00380-1

Access Statistics for this article

Operations Management Research is currently edited by Jan Olhager and Scott Shafer

More articles in Operations Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().