The role of interorganizational collaboration and digital technologies in the implementation of circular economy practices—Empirical evidence from manufacturing firms

IF 12.5 1区 管理学 Q1 BUSINESS
Josef-Peter Schöggl, Lukas Stumpf, Rupert J. Baumgartner
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引用次数: 0

Abstract

Interorganizational collaboration and the use of new digital technologies, such as artificial intelligence (AI), big data analytics, internet of things (IoT), or blockchain technology, are regarded as key enablers in implementing sustainability and circular economy-oriented practices. While this is reflected in a few conceptual and case studies, statistical analyses on the topic are rare. No study so far has focused on collaboration, and digital technologies have only been studied in isolation. Therefore, the purpose of this study is to investigate the effect of interorganizational collaboration practices on a firm's circular economy practices and on outcomes (sustainability performance and economic performance), as well as the potentially facilitative role of new digital technologies on both. The research is based on a deductive approach, using a random sample of 112 Austrian manufacturing companies. The study employs partial least squares structural equation modeling (PLS-SEM), features a multiple-respondent design, and uses the dynamic capabilities view as a theoretical foundation. The study finds that interorganizational collaboration practices have a strong positive effect on the implementation of sustainability and CE practices, while the use of new digital technologies and general dynamic capabilities do not. The use of digital technologies positively affects only interorganizational collaboration, while general dynamic capabilities serve as an antecedent for both the use of digital technologies and interorganizational collaboration. Regarding the outcomes of CE implementation, the study finds a positive impact on firm-level sustainability and economic performance. From a theoretical point of view, the study provides a new perspective on the prerequisites for successful CE implementation, highlights the importance of collaboration, and contextualizes the role of new digital technologies and dynamic capabilities. From a practical point of view, based on the positive outcomes found, the study supports arguments in favor of company engagement in CE activity. It also serves to motivate purposive digitization and systems thinking in order to create efficient CE collaboration networks.

Abstract Image

组织间协作和数字技术在实施循环经济实践中的作用--来自制造企业的经验证据
组织间合作和新数字技术的使用,如人工智能(AI)、大数据分析、物联网(IoT)或区块链技术,被认为是实施以可持续性和循环经济为导向的做法的关键推动因素。虽然这一点在一些概念性研究和案例研究中有所体现,但有关这一主题的统计分析却很少见。迄今为止,还没有一项研究侧重于合作,数字技术也只是被孤立地研究。因此,本研究的目的是调查组织间合作实践对企业循环经济实践和结果(可持续性绩效和经济绩效)的影响,以及新数字技术对两者的潜在促进作用。研究采用演绎法,随机抽样了 112 家奥地利制造企业。研究采用偏最小二乘法结构方程模型(PLS-SEM),采用多应答设计,并将动态能力观点作为理论基础。研究发现,组织间合作实践对可持续发展和消费电子实践的实施有很大的积极影响,而新数字技术的使用和一般动态能力则没有。数字技术的使用只对组织间协作产生积极影响,而一般动态能力则是数字技术使用和组织间协作的先决条件。关于行政首长协调会的实施结果,研究发现它对企业层面的可持续性和经济绩效有积极影响。从理论角度看,该研究为成功实施行政首长协调会的先决条件提供了一个新视角,强调了协作的重要性,并将新数字技术和动态能力的作用与背景联系起来。从实践的角度来看,基于所发现的积极成果,本研究支持公司参与行政首长协调会活动的论点。它还有助于激发有目的的数字化和系统思维,以创建高效的行政首长协调会协作网络。
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来源期刊
CiteScore
22.50
自引率
19.40%
发文量
336
期刊介绍: Business Strategy and the Environment (BSE) is a leading academic journal focused on business strategies for improving the natural environment. It publishes peer-reviewed research on various topics such as systems and standards, environmental performance, disclosure, eco-innovation, corporate environmental management tools, organizations and management, supply chains, circular economy, governance, green finance, industry sectors, and responses to climate change and other contemporary environmental issues. The journal aims to provide original contributions that enhance the understanding of sustainability in business. Its target audience includes academics, practitioners, business managers, and consultants. However, BSE does not accept papers on corporate social responsibility (CSR), as this topic is covered by its sibling journal Corporate Social Responsibility and Environmental Management. The journal is indexed in several databases and collections such as ABI/INFORM Collection, Agricultural & Environmental Science Database, BIOBASE, Emerald Management Reviews, GeoArchive, Environment Index, GEOBASE, INSPEC, Technology Collection, and Web of Science.
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