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Modelling the supply chain perception gaps
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Lu, Dawei, Ertek, Gurdal and Betts, Alan (2014) Modelling the supply chain perception gaps. The International Journal of Advanced Manufacturing Technology, Volume 71 (Number 1-4). pp. 731-751. doi:10.1007/s00170-013-5504-x ISSN 0268-3768.
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Official URL: http://dx.doi.org/10.1007/s00170-013-5504-x
Abstract
This study applies the research of perception gap
analysis to supply chain integration and develops a generic
model, the 3-Level Gaps Model, with the goal of contributing to harmonization and integration in the supply chain. The model suggests that significant perception gaps may exist among supply chain members with regards to the importance of different performance criteria. The concept of the model is conceived through an empirical and inductive approach, combining the research discipline of supply chain relationship and perception gap analysis. First hand data has been collected through a survey across a key buyer in the motor insurance industry and its eight suppliers. Rigorous statistical analysis testified the research hypotheses, which in turn verified the validity and relevance of the developed 3-Level Gaps Model. The research reveals the significant existence of supply chain perception gaps at all three levels as defined, which could be the root causes to under-performed supply chain.
Item Type: | Journal Article | ||||
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Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management H Social Sciences > HF Commerce |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||
Library of Congress Subject Headings (LCSH): | Business logistics -- Mathematical models | ||||
Journal or Publication Title: | The International Journal of Advanced Manufacturing Technology | ||||
Publisher: | Springer | ||||
ISSN: | 0268-3768 | ||||
Official Date: | March 2014 | ||||
Dates: |
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Volume: | Volume 71 | ||||
Number: | Number 1-4 | ||||
Number of Pages: | 21 | ||||
Page Range: | pp. 731-751 | ||||
DOI: | 10.1007/s00170-013-5504-x | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Open Access (Creative Commons) | ||||
Date of first compliant deposit: | 26 December 2015 | ||||
Date of first compliant Open Access: | 26 December 2015 |
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