Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/28075
Title: Making a Transition toward more Mature Closed-Loop Supply Chain Management under DeepUncertainty and Dynamic Complexity: A Methodology
Authors: Coenen, Jannie
Van der Heijden, Rob
VAN RIEL, Allard 
Issue Date: 2019
Source: Sustainability, 11 (8), p. 1-27
Abstract: This article develops a methodology to empirically study and cope with deep uncertainty and dynamic complexity when the actors in a traditional supply chain make a transition toward more mature closed-loop supply chain (CLSC) management. The methodology addressed calls for innovative research and decision-making approaches in this field. Mature, in this context, refers to moving operationally and mentally away from a stochastic, one-dimensional and static approach to CLSC management, towards an exploratory, multi-dimensional and dynamic approach. To empirically study and cope with deep uncertainty and dynamic complexity in a CLSC context, a conceptual framework and related methodological toolbox are developed, together called the ‘closed-loop integration: collective keystones methodology’ (hereinafter CLICK methodology). The conceptual framework entails six maturity stages, which have been defined based on the well-known capability maturity framework and the concept of double-loop learning. Based on the conceptual framework, methods to equip the toolbox have been systematically identified and evaluated. The study identified 31 potentially appropriate methods, varying from non-participatory methods, to the active engagement of actors and stakeholders, and from analytical methods to evaluation/assessment methods.
Notes: Coenen, J (reprint author), Radboud Univ Nijmegen, Inst Management Res, POB 9108, NL-6500 HK Nijmegen, Netherlands. j.coenen@fm.ru.nl; r.vanderheijden@fm.ru.nl; allard.vanriel@uhasselt.be
Keywords: closed-loop supply chain management; deep uncertainty; dynamic complexity; methodological approach; CLICK methodology; decision making
Document URI: http://hdl.handle.net/1942/28075
e-ISSN: 2071-1050
DOI: 10.3390/su11082318
ISI #: 000467752200131
Rights: 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Category: A1
Type: Journal Contribution
Validations: ecoom 2020
Appears in Collections:Research publications

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