How to Find the Right Supply Chain Strategy? An Analysis of Contingency Variables

ABSTRACT Contingency variables are characteristics of the business environment that influence the competitive priorities supply chains should pursue for maximizing profits. But which contingency variables should managers focus on when developing a supply chain strategy? On the one hand, if important...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Decision sciences 2019-08, Vol.50 (4), p.726-755
Hauptverfasser: Falkenhausen, Christian, Fleischmann, Moritz, Bode, Christoph
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:ABSTRACT Contingency variables are characteristics of the business environment that influence the competitive priorities supply chains should pursue for maximizing profits. But which contingency variables should managers focus on when developing a supply chain strategy? On the one hand, if important variables are omitted, the selected strategy may fail to fulfill the needs of the business environment. On the other hand, considering irrelevant variables unnecessarily complicates the strategy formation process, hence preventing well‐suited strategies from being found. As a first step toward resolving this trade‐off, our study analyzes the effects hypothesized to be underlying a set of frequently cited contingency variables referred to as “DWV3” (product lifecycle Duration, delivery time Window, demand Variability, demand Volume, product Variety) as well as contribution margins. We test the hypotheses on archival data from a leading chemical manufacturer using multilevel regression. Our findings indicate that demand variability, the delivery time window, and contribution margins are important for strategy development because they indicate to what extent companies should invest in market mediation. Volume, variety, and lifecycle duration are less important for this purpose, but may instead be used for analyzing the causes of demand variability.
ISSN:0011-7315
1540-5915
DOI:10.1111/deci.12355