Ambiguity and its coping mechanisms in supply chains lessons from the Covid-19 pandemic and natural disasters

Purpose – The first purpose of this paper is to situate and conceptualise ambiguity in the operations management (OM) literature, as connected to supply chain decision-making (SCDM). The second purpose is to study the role of ambiguity-coping mechanisms in that context. Design/methodology/approach...

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Main Authors: Gunessee, Saileshsingh, Subramanian, Nachiappan
Format: Article
Language:English
Published: Emerald 2020
Subjects:
Online Access:https://eprints.nottingham.ac.uk/63012/
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author Gunessee, Saileshsingh
Subramanian, Nachiappan
author_facet Gunessee, Saileshsingh
Subramanian, Nachiappan
author_sort Gunessee, Saileshsingh
building Nottingham Research Data Repository
collection Online Access
description Purpose – The first purpose of this paper is to situate and conceptualise ambiguity in the operations management (OM) literature, as connected to supply chain decision-making (SCDM). The second purpose is to study the role of ambiguity-coping mechanisms in that context. Design/methodology/approach – This research uses the behavioural decision theory (BDT) to better embed ambiguity in a generic SCDM framework. The framework explicates both behavioural and nonbehavioural antecedents of ambiguity and enables us to also ground the “coping” mechanisms as individual and organisational level strategies. Properties of the framework are illustrated through two “ambiguous” events – the 2011 Thai flood and Covid-19 pandemic. Findings – Three key findings are documented. First, ambiguity is shown to distinctively affect supply chain decisions and having correspondence with specific coping mechanisms. Second, the conceptual framework shows how individual coping mechanisms can undermine rational-based organisational coping mechanisms, leading to “sub-optimal”(poor) supply chain decisions. Third, this study highlights the positive role of visibility but surprisingly organisational “experiential” learning is imperfect, due to the focus on “similar” past experience and what is known. Originality/value – The paper is novel in two ways. First, it introduces ambiguity – an often neglected concept in operations management – into the supply chain lexicon, by developing a typology of ambiguity. Second, ambiguity-coping mechanisms are also introduced as both individual and organisational strategies. This enables the study to draw distinctive theoretical and practical implications.
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spelling nottingham-630122020-09-11T06:56:38Z https://eprints.nottingham.ac.uk/63012/ Ambiguity and its coping mechanisms in supply chains lessons from the Covid-19 pandemic and natural disasters Gunessee, Saileshsingh Subramanian, Nachiappan Purpose – The first purpose of this paper is to situate and conceptualise ambiguity in the operations management (OM) literature, as connected to supply chain decision-making (SCDM). The second purpose is to study the role of ambiguity-coping mechanisms in that context. Design/methodology/approach – This research uses the behavioural decision theory (BDT) to better embed ambiguity in a generic SCDM framework. The framework explicates both behavioural and nonbehavioural antecedents of ambiguity and enables us to also ground the “coping” mechanisms as individual and organisational level strategies. Properties of the framework are illustrated through two “ambiguous” events – the 2011 Thai flood and Covid-19 pandemic. Findings – Three key findings are documented. First, ambiguity is shown to distinctively affect supply chain decisions and having correspondence with specific coping mechanisms. Second, the conceptual framework shows how individual coping mechanisms can undermine rational-based organisational coping mechanisms, leading to “sub-optimal”(poor) supply chain decisions. Third, this study highlights the positive role of visibility but surprisingly organisational “experiential” learning is imperfect, due to the focus on “similar” past experience and what is known. Originality/value – The paper is novel in two ways. First, it introduces ambiguity – an often neglected concept in operations management – into the supply chain lexicon, by developing a typology of ambiguity. Second, ambiguity-coping mechanisms are also introduced as both individual and organisational strategies. This enables the study to draw distinctive theoretical and practical implications. Emerald 2020-07-21 Article PeerReviewed application/pdf en cc_by https://eprints.nottingham.ac.uk/63012/1/091111490459MergePDF.pdf Gunessee, Saileshsingh and Subramanian, Nachiappan (2020) Ambiguity and its coping mechanisms in supply chains lessons from the Covid-19 pandemic and natural disasters. International Journal of Operations & Production Management . ISSN 0144-3577 Ambiguity; Coping mechanisms; Supply chain decision-making; Behavioural decision theory; Covid-19 http://dx.doi.org/10.1108/IJOPM-07-2019-0530 doi:10.1108/IJOPM-07-2019-0530 doi:10.1108/IJOPM-07-2019-0530
spellingShingle Ambiguity; Coping mechanisms; Supply chain decision-making; Behavioural decision theory; Covid-19
Gunessee, Saileshsingh
Subramanian, Nachiappan
Ambiguity and its coping mechanisms in supply chains lessons from the Covid-19 pandemic and natural disasters
title Ambiguity and its coping mechanisms in supply chains lessons from the Covid-19 pandemic and natural disasters
title_full Ambiguity and its coping mechanisms in supply chains lessons from the Covid-19 pandemic and natural disasters
title_fullStr Ambiguity and its coping mechanisms in supply chains lessons from the Covid-19 pandemic and natural disasters
title_full_unstemmed Ambiguity and its coping mechanisms in supply chains lessons from the Covid-19 pandemic and natural disasters
title_short Ambiguity and its coping mechanisms in supply chains lessons from the Covid-19 pandemic and natural disasters
title_sort ambiguity and its coping mechanisms in supply chains lessons from the covid-19 pandemic and natural disasters
topic Ambiguity; Coping mechanisms; Supply chain decision-making; Behavioural decision theory; Covid-19
url https://eprints.nottingham.ac.uk/63012/
https://eprints.nottingham.ac.uk/63012/
https://eprints.nottingham.ac.uk/63012/