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Corvinus

Modeling Life Cycles of Supply Chain Relationships

Gelei, Andrea ORCID: https://orcid.org/0000-0001-8861-8275 and Dobos, Imre ORCID: https://orcid.org/0000-0001-6248-2920 (2014) Modeling Life Cycles of Supply Chain Relationships. Periodica Polytechnica Social and Management Sciences, 22 (1). pp. 1-12. DOI 10.3311/PPso.7424

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Official URL: https://doi.org/10.3311/PPso.7424


Abstract

The paper focuses on the development of buyer – supplier relationships over time. Although there is an ongoing debate about the nature and characteristics of relationship life cycle, the existence of some kind of life cycle is usually assumed when timely development of these relationships is investigated. The objective of our analysis is to investigate this hidden hypothesis using quantitative research methodology. The research focusing on the development of business relationships over time has mainly used qualitative research methods and to the best of our knowledge, no one have yet attempted to measure any relevant variables and the pattern of their development over time using a quantitative methodology. In order to be able to test this hypothesis the level of relation-specific investments generated in the relationship, called the explicit investment measure, was chosen. We have conceptualized and measured it and tested empirically to what extent its development over time fits the pattern of the traditional mathematical model (representation) of the life cycle, which is usually described with a logistics curve. The development of this explicit investment measure over time is a dynamic phenomenon the analysis of which is not without methodological problem. We suggest and apply a procedure developed in the field of population dynamics that makes it possible to use cross sectional data for such dynamic analysis.

Item Type:Article
Uncontrolled Keywords:supply chain relationship ; life cycle model ; relation-specific investments ; empirical testing ; quantitative analysis
Divisions:Faculty of Business Administration > Institute of Business Economics > Department of Logistics and Supply Chain Management
Subjects:Logistics, production management
DOI:10.3311/PPso.7424
ID Code:10960
Deposited By: MTMT SWORD
Deposited On:27 Feb 2025 14:29
Last Modified:27 Feb 2025 14:29

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