Theoretical and measurement models of supply chain complexity

Patrick Freinberger, Ila Manuj, Markus Gerschberger

Research output: Contribution to conferencePaperpeer-review

Abstract

In today´s business environment supply chains can be characterized as more dynamic (e.g., shorter product life cycles, higher product variety), multi-functional and more global (e.g., globally dispersed customers and suppliers, globally dispersed manufacturing) leading to increasing levels of supply chain complexity (SCC) (Manuj and Sahin, 2011). There is evidence that SCC has the potential to negatively influence a company´s performance when not managed adequately (Deloitte, 2003). In addition, several studies assert an accelerated increase of SCC levels over the next couple of years (e.g., Capgemini, 2008) making the topic more and more important for both research and practice (Bode and Wagner, 2015; Handfield et al., 2013). Therefore, the purpose of this research is to holistically investigate SCC by developing theoretical and measurement models (including related outcomes and moderators) of SCC.
Translated title of the contributionTheoretical and measurement models of supply chain complexity
Original languageGerman
Pages1-6
Publication statusPublished - 2017
EventCSCMP 2017 - Atlanta, United States
Duration: 23 Sep 201724 Sep 2017

Conference

ConferenceCSCMP 2017
Country/TerritoryUnited States
CityAtlanta
Period23.09.201724.09.2017

Keywords

  • Supply chain complexity
  • objective supply chain complexity
  • effective supply chain complexity
  • scale development

Fingerprint

Dive into the research topics of 'Theoretical and measurement models of supply chain complexity'. Together they form a unique fingerprint.

Cite this