{"title":"数字化促进循环经济和卓越运营实践:从悖论理论角度看制造业企业的绩效提升","authors":"Anupama Prashar, Atanu Chaudhuri","doi":"10.1002/bse.4031","DOIUrl":null,"url":null,"abstract":"<p>The present study evaluates how the joint implementation of circular economy (CE) and operational excellence (OE) practices supported by the adoption of industry 4.0 technologies (Internet of Things and Big Data Analytics) influence manufacturing firms' operational performance and environmental sustainability. Drawing from the paradox theory, it also investigates the moderating role of managing paradoxical tensions arising from these implementations. To test the hypothesized relationships, survey data are collected from 147 Indian manufacturing firms implementing CE, OE practices, and internet of things (IoT) and big data analytics (BDA)-enabled digital systems. The data are analyzed using structural equation modeling and moderated mediation analysis. Results indicate a direct significant effect of adoption of IoT and BDA-enabled digital systems on operational performance and environmental sustainability, and partial mediation by CE and OE implementations, respectively. There is a strong moderation of managing paradoxical tensions on the impact of CE and OE implementations on performance. Additionally, the conditional indirect effect of CE implementations on the environmental sustainability outcomes of the IoT and BDA adoption increases with greater effort in managing paradoxical tensions. The study answers the call for empirical research on the organizational tensions that surface due to conflicting demands of initiatives related to operational efficiency and environmental sustainability.</p>","PeriodicalId":9518,"journal":{"name":"Business Strategy and The Environment","volume":"34 1","pages":"1154-1170"},"PeriodicalIF":12.5000,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Digitalization for circular economy and operational excellence practices: A paradox theory perspective on performance improvement in manufacturing firms\",\"authors\":\"Anupama Prashar, Atanu Chaudhuri\",\"doi\":\"10.1002/bse.4031\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The present study evaluates how the joint implementation of circular economy (CE) and operational excellence (OE) practices supported by the adoption of industry 4.0 technologies (Internet of Things and Big Data Analytics) influence manufacturing firms' operational performance and environmental sustainability. Drawing from the paradox theory, it also investigates the moderating role of managing paradoxical tensions arising from these implementations. To test the hypothesized relationships, survey data are collected from 147 Indian manufacturing firms implementing CE, OE practices, and internet of things (IoT) and big data analytics (BDA)-enabled digital systems. The data are analyzed using structural equation modeling and moderated mediation analysis. Results indicate a direct significant effect of adoption of IoT and BDA-enabled digital systems on operational performance and environmental sustainability, and partial mediation by CE and OE implementations, respectively. There is a strong moderation of managing paradoxical tensions on the impact of CE and OE implementations on performance. Additionally, the conditional indirect effect of CE implementations on the environmental sustainability outcomes of the IoT and BDA adoption increases with greater effort in managing paradoxical tensions. The study answers the call for empirical research on the organizational tensions that surface due to conflicting demands of initiatives related to operational efficiency and environmental sustainability.</p>\",\"PeriodicalId\":9518,\"journal\":{\"name\":\"Business Strategy and The Environment\",\"volume\":\"34 1\",\"pages\":\"1154-1170\"},\"PeriodicalIF\":12.5000,\"publicationDate\":\"2024-11-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Business Strategy and The Environment\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/bse.4031\",\"RegionNum\":1,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Business Strategy and The Environment","FirstCategoryId":"91","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/bse.4031","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
摘要
本研究评估了在采用工业 4.0 技术(物联网和大数据分析)的支持下,联合实施循环经济(CE)和卓越运营(OE)实践如何影响制造企业的运营绩效和环境可持续性。本研究还借鉴了悖论理论,探讨了管理这些实施过程中产生的矛盾张力的调节作用。为了检验假设的关系,本研究从 147 家实施消费电子、原始设备实践以及物联网(IoT)和大数据分析(BDA)数字系统的印度制造企业收集了调查数据。数据采用结构方程模型和调节中介分析法进行分析。结果表明,采用物联网和 BDA 数字系统对运营绩效和环境可持续性有直接显着影响,而 CE 和 OE 的实施分别对其有部分中介作用。管理自相矛盾的紧张关系对 CE 和 OE 实施对绩效的影响有很强的调节作用。此外,随着在管理矛盾张力方面做出更大努力,行政首长协调会的实施对物联网和 BDA 采用的环境可持续性结果的条件间接影响也会增加。这项研究响应了对组织紧张关系进行实证研究的呼吁,这种紧张关系是由于与运营效率和环境可持续性相关的举措的需求相互冲突而产生的。
Digitalization for circular economy and operational excellence practices: A paradox theory perspective on performance improvement in manufacturing firms
The present study evaluates how the joint implementation of circular economy (CE) and operational excellence (OE) practices supported by the adoption of industry 4.0 technologies (Internet of Things and Big Data Analytics) influence manufacturing firms' operational performance and environmental sustainability. Drawing from the paradox theory, it also investigates the moderating role of managing paradoxical tensions arising from these implementations. To test the hypothesized relationships, survey data are collected from 147 Indian manufacturing firms implementing CE, OE practices, and internet of things (IoT) and big data analytics (BDA)-enabled digital systems. The data are analyzed using structural equation modeling and moderated mediation analysis. Results indicate a direct significant effect of adoption of IoT and BDA-enabled digital systems on operational performance and environmental sustainability, and partial mediation by CE and OE implementations, respectively. There is a strong moderation of managing paradoxical tensions on the impact of CE and OE implementations on performance. Additionally, the conditional indirect effect of CE implementations on the environmental sustainability outcomes of the IoT and BDA adoption increases with greater effort in managing paradoxical tensions. The study answers the call for empirical research on the organizational tensions that surface due to conflicting demands of initiatives related to operational efficiency and environmental sustainability.
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.