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  4. Enhancing Transparency in the Supply Chain: An Information Processing Perspective
 
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Enhancing Transparency in the Supply Chain: An Information Processing Perspective

Type
conference paper
Date Issued
2020-08-11
Author(s)
Röck, Dominik  
Hofmann, Erik
Rogers, Dale S.
Abstract
While nowadays’ need to enhance transparency in supply chains (TSC) seems undisputable, supply chain management (SCM) scholars and practitioners lack an operationalization of the phenomenon and a clear understanding of how to enhance TSC. This study aims to address this need by applying a multiple case study design with 24 awarded or industry-wide good practice solutions to disclose how focal companies can enhance TSC. Drawing on information processing theory (IPT), this study contributes to the understanding of the phenomenon by placing TSC in context and identifying 29 TSC determinants that have to be attained in order to enhance TSC. The study reveals that although the targeted effect of enhanced TSC is mainly beneficial for the focal company, it requires all relevant supply chain partners to enhance TSC. By presenting the TSC determinants that are required on an intra-firm and inter-organizational level to enhance TSC, we elaborate IPT in the context of TSC.
Funding(s)
SNF: Foundation of distributed ledgers in supply chain management: Theory development, practical applicability and critical reflection  
Language
English
HSG Classification
contribution to scientific community
HSG Profile Area
SoM - Business Innovation
Publisher
Academy of Management
Publisher place
Briarcliff Manor, NY, USA
Event Title
AOM 2020: 80th Annual Meeting of the Academy of Management
Event Location
Virtual
Event Date
7-11 August 2020
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/111888
Subject(s)

information managemen...

business studies

Division(s)

ISCM - Institute of S...

Eprints ID
260739
File(s)
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open.access

Name

21671_Enhancing Transparency in the Supply Chain (AOM).pdf

Size

647.69 KB

Format

Adobe PDF

Checksum (MD5)

138f84c81c79edf4438d81628b2d9d9b

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