Exploring information sharing in the extended supply chain: an interdependence perspective
Kembro, Joakim LU
and Selviaridis, Kostas
(2015)
In Supply Chain Management
20(4).
p.455-470
- Abstract
- Purpose - This paper aims to empirically explore demand-related information sharing in the extended supply chain. Design/methodology/approach - Through a single, embedded case design, a range of methods are used to collect data from companies representing three different supply chain tiers, including focal company, first-tier suppliers and first-tier customers. The collected data are analysed through the theoretical lens of interdependence. Findings - The findings indicate that the supply chain actors adapt information sharing to the pooled, serial or reciprocal type of interdependence. Information sharing is thus increased with key dyadic partners representing, for example, unique offerings and high market shares as percentage of total... (More)
- Purpose - This paper aims to empirically explore demand-related information sharing in the extended supply chain. Design/methodology/approach - Through a single, embedded case design, a range of methods are used to collect data from companies representing three different supply chain tiers, including focal company, first-tier suppliers and first-tier customers. The collected data are analysed through the theoretical lens of interdependence. Findings - The findings indicate that the supply chain actors adapt information sharing to the pooled, serial or reciprocal type of interdependence. Information sharing is thus increased with key dyadic partners representing, for example, unique offerings and high market shares as percentage of total expenditure/sales. The study also unearths several barriers to information sharing beyond dyadic ties, including problems related to dis-aggregated, misinterpreted and/or incomplete information. Research limitations/implications - The study empirically contributes to the existing literature by exploring information sharing in the extended supply chain and by suggesting different approaches to information sharing depending on the type and intensity of interdependence between supply chain partners. Further, the paper contributes to the existing literature on barriers of information sharing in supply chains by identifying barriers specific to multi-tier information sharing. "Meta-information" (i.e. information about the shared information) is needed to overcome some of the barriers of sharing information in cases of weak, pooled interdependencies in the supply chain. Practical implications - Similar to previous empirical research, this exploratory study indicates that companies, in general, refrain from sharing information beyond dyadic ties. Supply chain managers would instead mostly focus on stronger, reciprocal interdependencies and emphasise dyadic information sharing. To further guide managers, a demand profiling framework considering market share and demand uncertainty is presented. It may be interesting to engage in multi-tier information sharing in particular cases where strong interdependence exists between three or more partners. Originality/value - This study contributes to existing research on information sharing in supply chains by empirically studying information sharing in an extended supply chain, applying interdependence theory as its analytical framework and unearthing several barriers that are specific to multi-tier information sharing. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/7791173
- author
- Kembro, Joakim
LU
and Selviaridis, Kostas
- organization
- publishing date
- 2015
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Interdependence, Supply chain management, Networks, Information sharing, Bullwhip effect, Demand uncertainty
- in
- Supply Chain Management
- volume
- 20
- issue
- 4
- pages
- 455 - 470
- publisher
- Emerald Group Publishing Limited
- external identifiers
-
- wos:000357424600007
- scopus:84930244749
- ISSN
- 1359-8546
- DOI
- 10.1108/SCM-07-2014-0252
- language
- English
- LU publication?
- yes
- id
- 8de43f4f-2023-4def-95da-405177aa0042 (old id 7791173)
- date added to LUP
- 2016-04-01 14:21:38
- date last changed
- 2023-03-19 07:34:26
@article{8de43f4f-2023-4def-95da-405177aa0042,
abstract = {{Purpose - This paper aims to empirically explore demand-related information sharing in the extended supply chain. Design/methodology/approach - Through a single, embedded case design, a range of methods are used to collect data from companies representing three different supply chain tiers, including focal company, first-tier suppliers and first-tier customers. The collected data are analysed through the theoretical lens of interdependence. Findings - The findings indicate that the supply chain actors adapt information sharing to the pooled, serial or reciprocal type of interdependence. Information sharing is thus increased with key dyadic partners representing, for example, unique offerings and high market shares as percentage of total expenditure/sales. The study also unearths several barriers to information sharing beyond dyadic ties, including problems related to dis-aggregated, misinterpreted and/or incomplete information. Research limitations/implications - The study empirically contributes to the existing literature by exploring information sharing in the extended supply chain and by suggesting different approaches to information sharing depending on the type and intensity of interdependence between supply chain partners. Further, the paper contributes to the existing literature on barriers of information sharing in supply chains by identifying barriers specific to multi-tier information sharing. "Meta-information" (i.e. information about the shared information) is needed to overcome some of the barriers of sharing information in cases of weak, pooled interdependencies in the supply chain. Practical implications - Similar to previous empirical research, this exploratory study indicates that companies, in general, refrain from sharing information beyond dyadic ties. Supply chain managers would instead mostly focus on stronger, reciprocal interdependencies and emphasise dyadic information sharing. To further guide managers, a demand profiling framework considering market share and demand uncertainty is presented. It may be interesting to engage in multi-tier information sharing in particular cases where strong interdependence exists between three or more partners. Originality/value - This study contributes to existing research on information sharing in supply chains by empirically studying information sharing in an extended supply chain, applying interdependence theory as its analytical framework and unearthing several barriers that are specific to multi-tier information sharing.}},
author = {{Kembro, Joakim and Selviaridis, Kostas}},
issn = {{1359-8546}},
keywords = {{Interdependence; Supply chain management; Networks; Information sharing; Bullwhip effect; Demand uncertainty}},
language = {{eng}},
number = {{4}},
pages = {{455--470}},
publisher = {{Emerald Group Publishing Limited}},
series = {{Supply Chain Management}},
title = {{Exploring information sharing in the extended supply chain: an interdependence perspective}},
url = {{http://dx.doi.org/10.1108/SCM-07-2014-0252}},
doi = {{10.1108/SCM-07-2014-0252}},
volume = {{20}},
year = {{2015}},
}