Managing Firms Supply Chain Performance: The Mediating Role of Smart Technologies

Sajid Nazir (), Jyri Vilko () and Marko Torkkeli ()
Additional contact information
Sajid Nazir: Lappeenranta-Lahti University of Technology (LUT)
Jyri Vilko: Lappeenranta-Lahti University of Technology (LUT)
Marko Torkkeli: Lappeenranta-Lahti University of Technology (LUT)

Chapter Chapter 9 in Smart Supply Chain Management, 2025, pp 157-177 from Springer

Abstract: Abstract Digital transformation (DT) has emerged as a critical driver of value creation under the industry 4.0 paradigm, which is distinguished by advanced technologies and data-driven processes. In doing so the primary objective of this research study is to examine the influential role of digital transformation on the supply chain performance of an organization through the utilization of smart technologies. The current research study employed a reliable and precisely well-structured questionnaire to gather information from 120 participants representing 41 local and multinational companies (MNCs) located in Pakistan. The hypothesized relationships are analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM) and Partial Least Squares-Multi Group Analysis (PLS-MGA). The findings of this research demonstrate that the deployment of digital transformation in an organization plays a significant role in improving a firm’s supply chain performance. Furthermore, the applications of smart technologies are essential in establishing a connection between digital transformation and the supply chain performance of an organization. This research helps to promote digital supply chain by examining the function of smart technologies as a mediator between digital transformation and firms’ supply chain performance from the perspective of local and multinational companies (MNCs).

Keywords: Smart technologies; Digital transformation; Supply chain performance; Multi group analysis; Digital supply chain (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:sprchp:978-981-96-1333-5_9

Ordering information: This item can be ordered from
http://www.springer.com/9789819613335

DOI: 10.1007/978-981-96-1333-5_9

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().