Exploring the heuristics behind the transition to a circular economy in the textile industry

IF 4.1 3区 管理学 Q2 BUSINESS Management Decision Pub Date : 2024-07-23 DOI:10.1108/md-06-2023-1095
Olga Dziubaniuk, Maria Ivanova-Gongne, Jenni Kaipainen, Monica Nyholm
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Abstract

Purpose

The transition to a circular economy (CE) is a known concern in the context of the textile industry, in which business actors attempt to facilitate circular activities such as textile recycling. However, a lack of established business relationships and networks creates uncertainty for textile circulation. In such business environments, managerial decisions regarding CE may depend not only on normative behaviour but also on heuristics that guide their choices. Since business relationships for textile circularity require interactions between business actors, this study explores how managerial heuristics are shaped in the CE transition within the textile industry and their impact on actors’ interactions within business relationships and networks.

Design/methodology/approach

Empirically, this qualitative study is based on interviews with managers representing companies and organisations engaged in business relationships and networks aimed at a CE transition in the textile industry, as well as on publicly available secondary data.

Findings

The findings indicate that managerial decisions promoting circularity can be influenced by, besides normative information assessment, factors predominant in (1) the business and regulatory environment, (2) managers’ experience and knowledge obtained during interactions within business networks and (3) the internal strategic approaches of business organisations. This study identifies adaptation, experience, interaction and strategy heuristics that may be utilised by managers in making decisions in the context of uncertainty, such as the industrial transition to a CE.

Originality/value

This study expands the knowledge of heuristics applied to managerial decision making in interacting business firms and institutional organisations aiming to facilitate textile recycling and proposes a heuristics toolbox. The study provides an insight into business actors’ interactions, as well as various factors inside and outside the organisations shaping the managerial decisions. By doing this, the study adds to the literature, highlighting the importance of contextualisation and the interrelation between the individual and business environment levels in business-to-business management.

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探索纺织业向循环经济转型的启发式方法
目的 向循环经济(CE)过渡是纺织业众所周知的一个问题,在这一过程中,企业行为者试图促进纺织品回收等循环活动。然而,由于缺乏成熟的商业关系和网络,纺织品的流通存在不确定性。在这样的商业环境中,有关 CE 的管理决策可能不仅取决于规范行为,还取决于指导其选择的启发式方法。由于纺织品循环的商业关系需要商业参与者之间的互动,本研究探讨了管理启发式方法是如何在纺织业的 CE 转型中形成的,以及它们对商业关系和网络中参与者互动的影响。研究结果研究结果表明,促进循环的管理决策除了受到规范性信息评估的影响外,还受到以下主要因素的影响:(1)商业和监管环境;(2)管理人员在商业网络互动过程中获得的经验和知识;(3)企业组织的内部战略方针。本研究确定了适应、经验、互动和战略启发式方法,可供管理人员在不确定的背景下(如向消费电子产品的产业转型)进行决策时使用。 本研究拓展了启发式方法在互动商业公司和机构组织中应用于管理决策的知识,旨在促进纺织品回收,并提出了一个启发式方法工具箱。本研究深入探讨了企业参与者的互动关系,以及影响管理决策的各种组织内外因素。通过这样做,本研究为相关文献增添了新的内容,强调了企业对企业管理中情境化以及个人与企业环境层面之间相互关系的重要性。
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来源期刊
CiteScore
8.20
自引率
8.70%
发文量
126
期刊介绍: ■In-depth studies of major issues ■Operations management ■Financial management ■Motivation ■Entrepreneurship ■Problem solving and proactivity ■Serious management argument ■Strategy and policy issues ■Tactics for turning around company crises Management Decision, considered by many to be the best publication in its field, consistently offers thoughtful and provocative insights into current management practice. As such, its high calibre contributions from leading management philosophers and practitioners make it an invaluable resource in the aggressive and demanding trading climate of the Twenty-First Century.
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Compassion, value creation and digital learning orientation in social entrepreneurs The impact of supply chain revamping announcements on shareholder value Prioritizing factors for generative artificial intelligence-based innovation adoption in hospitality industry Exploring the role of heuristics in buyer–supplier relationship dynamics Understanding behavioral strategy: a historical evolutionary perspective in “Management Decision”
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