Theoretical and measurement models of supply chain complexity

Patrick Freinberger, Ila Manuj, Markus Gerschberger

Publikation: KonferenzbeitragPapierBegutachtung

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.
Titel in ÜbersetzungTheoretical and measurement models of supply chain complexity
OriginalspracheDeutsch
Seiten1-6
PublikationsstatusVeröffentlicht - 2017
VeranstaltungCSCMP 2017 - Atlanta, USA/Vereinigte Staaten
Dauer: 23 Sep 201724 Sep 2017

Konferenz

KonferenzCSCMP 2017
LandUSA/Vereinigte Staaten
OrtAtlanta
Zeitraum23.09.201724.09.2017

Schlagwörter

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

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