The link between supply chain risk management and innovation performance in SMEs in turbulent times
2024 (English)In: Journal of Entrepreneurship in Emerging Economies, ISSN 2053-4604, E-ISSN 2053-4612, Vol. 16, no 3, p. 626-648Article in journal (Refereed) Published
Abstract [en]
Purpose Acknowledging, on the one hand, the increasing fragility of supply chains and the number of risks involved in supply chain operations and, on the other hand, the role of small- and medium-sized enterprises (SMEs) in supply chains and the high exposure of these firms to risks of different types, this study aims to examine the relationship between supply chain risk management (SCRM) and innovation performance in SMEs. Furthermore, the impact of technological turbulence on this relationship was studied to take into account recent technological changes.
Design/methodology/approach Structural equation modelling was carried out on a sample of Turkish SMEs to test the hypotheses developed.
Findings The findings presented allow the authors to better understand the link between SCRM and innovation performance in SMEs. More precisely, empirical evidence is provided about the impact of SCRM components such as maturity and ability on innovation performance. Furthermore, the findings show the impact of technological turbulence on both SCRM and innovation performance.
Originality/value By focusing on SCRM in SMEs, this paper contributes to the body of knowledge with regard to SCRM in general and with regard to SMEs in particular; research on the latter has only started recently. Moreover, by having studied SMEs from a developing country (other than China), this paper helps to develop a broader and more diverse perspective of SCRM.
Place, publisher, year, edition, pages
Emerald Group Publishing Limited, 2024. Vol. 16, no 3, p. 626-648
Keywords [en]
SMEs, supply chain, risk management, supply chain risk management, innovation performance, technological turbulence
National Category
Business Administration
Research subject
Knowledge and Innovation Management (KIM)
Identifiers
URN: urn:nbn:se:his:diva-21855DOI: 10.1108/jeee-03-2022-0084ISI: 000858221400001Scopus ID: 2-s2.0-85138893297OAI: oai:DiVA.org:his-21855DiVA, id: diva2:1698550
Note
CC BY 4.0
Article publication date: 22 September 2022
Corresponding author Susanne Durst can be contacted at: susanne.durst@taltech.ee
2022-09-232022-09-232025-09-29Bibliographically approved