A meta-analysis of supply chain complexity and firm performance

Akın Ateş, Melek and Suurmond, Robert and Luzzini, Davide and Krause, Dan (2020) A meta-analysis of supply chain complexity and firm performance. In: 80th Annual Meeting of the Academy of Management, Online

[thumbnail of AOM2020_metaanalysis_fullpaper.pdf] PDF
AOM2020_metaanalysis_fullpaper.pdf
Restricted to Registered users only

Download (547kB) | Request a copy

Abstract

Increased globalization, pressure to meet varying customer needs and requirements, extended product lines, uncertainty in supplier deliveries and a myriad of related factors make supply chains utterly complex. Extant literature shows that Supply Chain Complexity (SCC) plays an important role in explaining several performance outcomes. However, the accumulating evidence is ambiguous. To better understand SCC and its consequences under specific boundary conditions, we conducted a meta-analytical synthesis of the extant literature. Meta-analytic results from 23,810 observations across 85 independent samples from 103 empirical studies indicated that rather than an aggregate analysis of SCC’s effect on performance, a finer-grained analysis of the relationships between sub-components of both SCC and performance is required. While the majority of previous studies seem to advocate that complexity in supply chains is detrimental to firm performance, our results demonstrate that SCC only has a negative effect on operational performance, but an overall positive effect on innovation performance and financial performance. We further decompose SCC into sub-dimensions (i.e. upstream/downstream/internal) illustrating how exactly complexity in the supply chain of a firm affects its performance across a range of relevant outcomes. Our findings also reveal moderating effects of construct operationalization and study characteristics. We discuss the implications of the findings for theory and practice.
Item Type: Papers in Conference Proceedings
Divisions: Sabancı Business School
Sabancı Business School > Operations Management and Information Systems
Depositing User: Melek Akın Ateş
Date Deposited: 15 Sep 2020 19:22
Last Modified: 26 Apr 2022 09:35
URI: https://research.sabanciuniv.edu/id/eprint/40122

Actions (login required)

View Item
View Item