Modelling the supply chain perception gaps

Lu, Dawei and Ertek, Gürdal and Betts, Alan (2013) Modelling the supply chain perception gaps. (Accepted/In Press)

[thumbnail of SUBMISSION.docx] MS Word
SUBMISSION.docx
Restricted to Registered users only

Download (672kB) | Request a copy

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 underperformed supply chain.
Item Type: Article
Uncontrolled Keywords: 3-Level Gaps Model; perception gaps; supply chain management; supply chain integration; supplier evaluation
Subjects: H Social Sciences > HF Commerce
H Social Sciences > HD Industries. Land use. Labor > HD2321-4730.9 Industry
H Social Sciences > HF Commerce > HF5410-5417.5 Marketing. Distribution of products
H Social Sciences > HD Industries. Land use. Labor > HD0028 Management. Industrial Management
T Technology > T Technology (General) > T055.4-60.8 Industrial engineering. Management engineering
Q Science > QA Mathematics > QA273-280 Probabilities. Mathematical statistics
T Technology > TS Manufactures > TS0155-194 Production management. Operations management
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Industrial Engineering
Faculty of Engineering and Natural Sciences
Faculty of Engineering and Natural Sciences > Academic programs > Manufacturing Systems Eng.
Depositing User: Gürdal Ertek
Date Deposited: 15 Jan 2014 12:19
Last Modified: 01 Aug 2019 15:22
URI: https://research.sabanciuniv.edu/id/eprint/23117

Actions (login required)

View Item
View Item