The use of modelling in purchasing/supply management research

Abstract

The purpose of this research to explore the use of modelling in the field of Purchasing and Supply Management (P/SM). We are particularly interested in identifying the specific areas of P/SM where there are opportunities for the use of modelling based methods. The paper starts with an overview of main types of modelling and also provides a categorisation of the main P/SM research themes. Our research shows that there are many opportunities for using descriptive, predictive and prescriptive modelling approaches in all areas of P/SM research from the ones with a focus on the actual function from a purely operational and execution perspective (e.g. purchasing processes and behaviour) to the ones with a focus on the organisational level from a more strategic perspective (e.g. strategy and policy). We conclude that future P/SM research needs to explore the value of modelling not just at the functional or operational level, but also at the organisation and strategic level respectively. We also acknowledge that while using empirical results to inform and improve models has advantages, there are also drawbacks, which relate to the value, the practical relevance and the generalisability of the modelling based approaches.

Publication DOI: https://doi.org/10.1016/j.pursup.2016.08.003
Divisions: College of Engineering & Physical Sciences > School of Infrastructure and Sustainable Engineering > Engineering Systems and Supply Chain Management
College of Engineering & Physical Sciences
College of Engineering & Physical Sciences > Aston Logistics and Systems Institute
Additional Information: © 2016, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Uncontrolled Keywords: purchasing and supply management,modelling,multi-method research,Strategy and Management,Marketing
Publication ISSN: 1873-6505
Last Modified: 19 Apr 2024 07:12
Date Deposited: 26 Sep 2016 10:20
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
https://www.sci ... 0541?via%3Dihub (Publisher URL)
PURE Output Type: Article
Published Date: 2016-12-01
Published Online Date: 2016-09-19
Accepted Date: 2016-08-23
Authors: Matopoulos, Aristides (ORCID Profile 0000-0002-5083-0534)
Bell, John E.
Aktas, Emel

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