Drawing on comparative institutional theory, we study the nature and magnitude of the effects of national environmental policies on corporate green innovation in developed versus emerging markets. Using a sample of 1831 listed firms in 34 countries from 2002 to 2020, we find that national environmental policies increase corporate green innovation in emerging markets but not in developed markets. Our results further suggest that in emerging markets, market environmental policies act as a substitute for weak formal institutions, and nonmarket environmental policies mirror informal institutions. With our findings, we underline and clarify the strong role of national environmental policies on firm‐level green innovation and the crucial role of national institutions in this process.
{"title":"National Environmental Policies and Corporate Green Innovation: The Mirroring Versus Substitution Hypotheses","authors":"Ivan Miroshnychenko, Knut Haanaes, Julia Binder","doi":"10.1002/bse.70435","DOIUrl":"https://doi.org/10.1002/bse.70435","url":null,"abstract":"Drawing on comparative institutional theory, we study the nature and magnitude of the effects of national environmental policies on corporate green innovation in developed versus emerging markets. Using a sample of 1831 listed firms in 34 countries from 2002 to 2020, we find that national environmental policies increase corporate green innovation in emerging markets but not in developed markets. Our results further suggest that in emerging markets, market environmental policies act as a substitute for weak formal institutions, and nonmarket environmental policies mirror informal institutions. With our findings, we underline and clarify the strong role of national environmental policies on firm‐level green innovation and the crucial role of national institutions in this process.","PeriodicalId":9518,"journal":{"name":"Business Strategy and The Environment","volume":"185 1","pages":""},"PeriodicalIF":13.4,"publicationDate":"2026-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146014339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mariantonietta Ferrante, Claudio Sassanelli, Daniela C. A. Pigosso
Circular economy (CE) is increasingly adopted by the manufacturing industry to decouple economic growth from environmental impacts by optimizing resource use and minimizing waste generation. Nevertheless, circular manufacturing often triggers systemic responses that diminish or offset their potential environmental gains, resulting in the so‐called rebound effects (REs). To address the limited understanding of REs within circular manufacturing, the present paper aims to identify the rebound mechanisms triggered by CE strategies within manufacturing business processes. In addition to contributing to a clearer and more comprehensive understanding of how CE strategies are implemented across manufacturing business processes, this paper describes how circular strategies might inadvertently trigger rebound mechanisms and lead to REs. In particular, the paper provides practical examples of REs triggered by CE strategies and offers a foundation for future research aimed at mitigating REs in the context of circular manufacturing.
{"title":"Rebound Effects in Circular Manufacturing: Overview of Potential Rebound Mechanisms Activated by Circular Strategies Across Key Business Processes","authors":"Mariantonietta Ferrante, Claudio Sassanelli, Daniela C. A. Pigosso","doi":"10.1002/bse.70562","DOIUrl":"https://doi.org/10.1002/bse.70562","url":null,"abstract":"Circular economy (CE) is increasingly adopted by the manufacturing industry to decouple economic growth from environmental impacts by optimizing resource use and minimizing waste generation. Nevertheless, circular manufacturing often triggers systemic responses that diminish or offset their potential environmental gains, resulting in the so‐called rebound effects (REs). To address the limited understanding of REs within circular manufacturing, the present paper aims to identify the rebound mechanisms triggered by CE strategies within manufacturing business processes. In addition to contributing to a clearer and more comprehensive understanding of how CE strategies are implemented across manufacturing business processes, this paper describes how circular strategies might inadvertently trigger rebound mechanisms and lead to REs. In particular, the paper provides practical examples of REs triggered by CE strategies and offers a foundation for future research aimed at mitigating REs in the context of circular manufacturing.","PeriodicalId":9518,"journal":{"name":"Business Strategy and The Environment","volume":"1 1","pages":""},"PeriodicalIF":13.4,"publicationDate":"2026-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146006041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Qian Liu, Bo Jellesmark Thorsen, Kennet Christian Uggeldahl, Thomas Lundhede
The deepening biodiversity crisis has turned attention to the role of private capital in conservation finance, as policymakers seek scalable solutions beyond public funding. Yet, empirical insights into corporate decision‐making on biodiversity investment remain limited, even though understanding such microlevel behavior helps inform the design of more effective biodiversity policies and investment mechanisms. We conduct a discrete choice experiment with 418 decision‐makers from medium and large firms across Europe, applying a mixed logit model to identify firms' preferences for project characteristics and cross‐firm variation in those preferences. Results reveal a clear preference for investment over inaction, particularly among firms in carbon‐intensive sectors, those led by environmentally informed executives, and those with favorable attitudes, reflecting perceived business relevance and expected benefits. Firms favor domestic projects, or projects located within Europe, and respond positively to both government and third‐party certification, though regional variation exists. Firms also prefer to align biodiversity investments with their sourcing geographies. While the findings should be treated with caution, as they are based on a limited subsample of corporate decision makers, they suggest that policy instruments aiming to scale up private biodiversity investments should prioritize credible certification schemes and support regionally anchored projects.
{"title":"Corporate Preferences for Biodiversity Investment: Evidence From a Discrete Choice Experiment Among Medium and Large European Firms","authors":"Qian Liu, Bo Jellesmark Thorsen, Kennet Christian Uggeldahl, Thomas Lundhede","doi":"10.1002/bse.70537","DOIUrl":"https://doi.org/10.1002/bse.70537","url":null,"abstract":"The deepening biodiversity crisis has turned attention to the role of private capital in conservation finance, as policymakers seek scalable solutions beyond public funding. Yet, empirical insights into corporate decision‐making on biodiversity investment remain limited, even though understanding such microlevel behavior helps inform the design of more effective biodiversity policies and investment mechanisms. We conduct a discrete choice experiment with 418 decision‐makers from medium and large firms across Europe, applying a mixed logit model to identify firms' preferences for project characteristics and cross‐firm variation in those preferences. Results reveal a clear preference for investment over inaction, particularly among firms in carbon‐intensive sectors, those led by environmentally informed executives, and those with favorable attitudes, reflecting perceived business relevance and expected benefits. Firms favor domestic projects, or projects located within Europe, and respond positively to both government and third‐party certification, though regional variation exists. Firms also prefer to align biodiversity investments with their sourcing geographies. While the findings should be treated with caution, as they are based on a limited subsample of corporate decision makers, they suggest that policy instruments aiming to scale up private biodiversity investments should prioritize credible certification schemes and support regionally anchored projects.","PeriodicalId":9518,"journal":{"name":"Business Strategy and The Environment","volume":"12 1","pages":""},"PeriodicalIF":13.4,"publicationDate":"2026-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146006039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Many firms have made ambitious climate pledges since the Paris Agreement of 2015. These pledges may be symbolic or substantive, but the literature is fragmented in defining these two terms. We propose a conceptual framework with three frames to delineate symbolic from substantive action: Intent—underlying motivations for engaging in climate action; Effort—depth of operational changes; and Results—presence of improvements in environmental performance. Our framework is based on a systematic review of environmental management articles using the Web of Science. We examine the theoretical justifications used to define symbolic and substantive action and the empirical criteria used to operationalize differences between them. We discover Intent, Effort, and Results as the main frames that the literature uses to differentiate symbolic and substantive action. By linking the frames together into a single conceptual framework, we map out a research agenda to derive more robust metrics to evaluate corporate climate strategies.
自2015年《巴黎协定》以来，许多公司都做出了雄心勃勃的气候承诺。这些承诺可能是象征性的，也可能是实质性的，但文献中对这两个术语的定义是支离破碎的。我们提出了一个概念性框架，其中包含三个框架来描述象征性行动和实质性行动：参与气候行动的潜在动机；运营变化的努力深度；结果-环境表现的改善情况。我们的框架是基于使用Web of Science的环境管理文章的系统综述。我们研究了用于定义象征性和实质性行动的理论依据，以及用于实现它们之间差异的经验标准。我们发现意图、努力和结果是文献用来区分象征行为和实质行为的主要框架。通过将这些框架连接在一起形成一个单一的概念框架，我们制定了一个研究议程，以获得更可靠的指标来评估企业的气候战略。
{"title":"Symbolic or Substantive Action: Intent, Effort, and Results","authors":"Vincent Xinyi Gu, Daniel Charles Matisoff","doi":"10.1002/bse.70545","DOIUrl":"https://doi.org/10.1002/bse.70545","url":null,"abstract":"Many firms have made ambitious climate pledges since the Paris Agreement of 2015. These pledges may be symbolic or substantive, but the literature is fragmented in defining these two terms. We propose a conceptual framework with three frames to delineate symbolic from substantive action: Intent—underlying motivations for engaging in climate action; Effort—depth of operational changes; and Results—presence of improvements in environmental performance. Our framework is based on a systematic review of environmental management articles using the Web of Science. We examine the theoretical justifications used to define symbolic and substantive action and the empirical criteria used to operationalize differences between them. We discover Intent, Effort, and Results as the main frames that the literature uses to differentiate symbolic and substantive action. By linking the frames together into a single conceptual framework, we map out a research agenda to derive more robust metrics to evaluate corporate climate strategies.","PeriodicalId":9518,"journal":{"name":"Business Strategy and The Environment","volume":"48 1","pages":""},"PeriodicalIF":13.4,"publicationDate":"2026-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146000516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Geovane Camilo dos Santos, Camila Lima Bazani, Pablo Zambra
This study examines the relationship between mergers and acquisitions (M&A), board characteristics, and ESG performance in BRICS companies, considering the moderating role of sectoral sensitivity. The study analyzes 11,402 observations from 2293 BRICS companies, employing Two‐Stage Least Squares (2SLS) to address endogeneity and logistic regression models. M&A shows a positive and significant association with all ESG pillars, reinforcing its contribution to nonfinancial performance. Board characteristics also shape these outcomes: larger and more independent boards enhance environmental and social performance, while CEO duality weakens governance results. The sensitive‐sector dummy is insignificant, indicating that sector classification alone does not raise ESG scores. However, the M&A—sensitive‐sector interaction is positive across environmental models, suggesting that firms strengthen environmental practices after M&A. For social outcomes the interaction is insignificant, and for governance, it is significant only at 10%, revealing weaker effects. This study introduces a novel perspective by integrating M&A activity, board characteristics, and sector sensitivity into a unified analysis of ESG performance. Existing research does not explicitly assess how industry conditions shape the transfer and generation of ESG value through M&A. By comparing firms in sensitive and nonsensitive sectors, this study demonstrates that sector‐specific pressures meaningfully alter the ESG effects of corporate transactions and governance structures. This approach advances the understanding of how organizational decisions interact with contextual factors to produce differentiated ESG outcomes, offering insights unavailable in prior single‐context or noncomparative studies.
{"title":"Beyond Profit: Do Mergers and Acquisitions and the Board of Directors Increase the Environmental, Social, and Governance?","authors":"Geovane Camilo dos Santos, Camila Lima Bazani, Pablo Zambra","doi":"10.1002/bse.70534","DOIUrl":"https://doi.org/10.1002/bse.70534","url":null,"abstract":"This study examines the relationship between mergers and acquisitions (M&A), board characteristics, and ESG performance in BRICS companies, considering the moderating role of sectoral sensitivity. The study analyzes 11,402 observations from 2293 BRICS companies, employing Two‐Stage Least Squares (2SLS) to address endogeneity and logistic regression models. M&A shows a positive and significant association with all ESG pillars, reinforcing its contribution to nonfinancial performance. Board characteristics also shape these outcomes: larger and more independent boards enhance environmental and social performance, while CEO duality weakens governance results. The sensitive‐sector dummy is insignificant, indicating that sector classification alone does not raise ESG scores. However, the M&A—sensitive‐sector interaction is positive across environmental models, suggesting that firms strengthen environmental practices after M&A. For social outcomes the interaction is insignificant, and for governance, it is significant only at 10%, revealing weaker effects. This study introduces a novel perspective by integrating M&A activity, board characteristics, and sector sensitivity into a unified analysis of ESG performance. Existing research does not explicitly assess how industry conditions shape the transfer and generation of ESG value through M&A. By comparing firms in sensitive and nonsensitive sectors, this study demonstrates that sector‐specific pressures meaningfully alter the ESG effects of corporate transactions and governance structures. This approach advances the understanding of how organizational decisions interact with contextual factors to produce differentiated ESG outcomes, offering insights unavailable in prior single‐context or noncomparative studies.","PeriodicalId":9518,"journal":{"name":"Business Strategy and The Environment","volume":"272 1","pages":""},"PeriodicalIF":13.4,"publicationDate":"2026-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146000515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study examines the incremental predictive value of sustainability reports in forecasting corporate financial distress. We first construct a unique sample of 1220 sustainability reports produced by 244 firms from S&P 500 index between 2018 and 2022. We then employ natural language processing (NLP) techniques to extract key features from the textual content of corporate sustainability reports, introducing them as a novel input to financial distress prediction models. A suite of machine learning algorithms is then applied to assess predictive performance. Our results show that incorporating textual sustainability disclosures significantly improves model performance relative to using only quantitative variables. These textual reports outline the corporate strategies on sustainability, providing additional insights that enhance the prediction of financial distress. Among the tested models, Random Forest and XGBoost regressors exhibit superior performance. We also find that the materiality of specific ESG issues in predicting financial distress varies across sectors. Overall, this study offers a framework for integrating sustainability reports and ensemble learning into corporate credit risk assessment.
{"title":"Using Machine Learning to Detect Financial Distress From Sustainability Reports","authors":"Songshan Qin, Mohamed Bakoush, Frank McGroarty","doi":"10.1002/bse.70563","DOIUrl":"https://doi.org/10.1002/bse.70563","url":null,"abstract":"This study examines the incremental predictive value of sustainability reports in forecasting corporate financial distress. We first construct a unique sample of 1220 sustainability reports produced by 244 firms from S&P 500 index between 2018 and 2022. We then employ natural language processing (NLP) techniques to extract key features from the textual content of corporate sustainability reports, introducing them as a novel input to financial distress prediction models. A suite of machine learning algorithms is then applied to assess predictive performance. Our results show that incorporating textual sustainability disclosures significantly improves model performance relative to using only quantitative variables. These textual reports outline the corporate strategies on sustainability, providing additional insights that enhance the prediction of financial distress. Among the tested models, Random Forest and XGBoost regressors exhibit superior performance. We also find that the materiality of specific ESG issues in predicting financial distress varies across sectors. Overall, this study offers a framework for integrating sustainability reports and ensemble learning into corporate credit risk assessment.","PeriodicalId":9518,"journal":{"name":"Business Strategy and The Environment","volume":"22 1","pages":""},"PeriodicalIF":13.4,"publicationDate":"2026-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145993372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study investigates how firms in emerging economies integrate artificial intelligence (AI) with environmental, social, and governance (ESG) practices to enhance biodiversity conservation and circular economy outcomes. It examines the mediating role of corporate social responsibility (CSR) governance and the moderating effect of institutional strength in shaping this relationship. Using longitudinal data from 4320 firm‐year observations across India, Brazil, and Ghana (2018–2024), a multilevel panel structural equation model (SEM) was employed with extensive robustness and endogeneity diagnostics. Findings show that AI adoption is positively associated with ESG integration and environmental performance, mediated by CSR governance. Institutional strength strengthens the ESG–performance link, with the strongest effects in high‐governance contexts. Cross‐country analyses reveal the AI–ESG–performance pathway is most pronounced in India, followed by Brazil and Ghana. The study advances an integrated AI–ESG–CSR framework, illustrating how digital intelligence translates into measurable ecological sustainability in emerging economies. It also highlights the need for ethical AI governance and social equity considerations.
{"title":"Investigating How Firms in Emerging Economies Integrate AI‐Driven Systems and ESG Metrics Into Biodiversity Conservation and Circular Economy Strategies","authors":"Suleman Bawa, Simplice A. Asongu","doi":"10.1002/bse.70547","DOIUrl":"https://doi.org/10.1002/bse.70547","url":null,"abstract":"This study investigates how firms in emerging economies integrate artificial intelligence (AI) with environmental, social, and governance (ESG) practices to enhance biodiversity conservation and circular economy outcomes. It examines the mediating role of corporate social responsibility (CSR) governance and the moderating effect of institutional strength in shaping this relationship. Using longitudinal data from 4320 firm‐year observations across India, Brazil, and Ghana (2018–2024), a multilevel panel structural equation model (SEM) was employed with extensive robustness and endogeneity diagnostics. Findings show that AI adoption is positively associated with ESG integration and environmental performance, mediated by CSR governance. Institutional strength strengthens the ESG–performance link, with the strongest effects in high‐governance contexts. Cross‐country analyses reveal the AI–ESG–performance pathway is most pronounced in India, followed by Brazil and Ghana. The study advances an integrated AI–ESG–CSR framework, illustrating how digital intelligence translates into measurable ecological sustainability in emerging economies. It also highlights the need for ethical AI governance and social equity considerations.","PeriodicalId":9518,"journal":{"name":"Business Strategy and The Environment","volume":"38 1","pages":""},"PeriodicalIF":13.4,"publicationDate":"2026-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145993216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Carlos de las Heras‐Rosas, Juan Herrera‐Ballesteros, Pedro Mota Veiga, Rui Silva Rodrigues
Environmental protection has emerged as a global priority in the contemporary context. As pivotal actors in the transition towards sustainable development, companies play a crucial role through the adoption of environmental innovations. This study investigates how organisational characteristics—specifically geographical location, business environment and digital maturity—influence the adoption of environmental innovations, employing machine learning models to develop a robust predictive framework. Although previous research has highlighted the relevance of these factors, their specific dynamics and interactions remain insufficiently explored. Drawing on data from Flash Eurobarometer 486, which comprises information from 16,365 firms across 27 EU Member States and 12 additional countries, this analysis examines how geographical context and internal capabilities shape environmental innovation performance, with particular attention given to the moderating role of firm size. The study leverages machine learning algorithms, including logistic regression, random forests and gradient boosting machines, to capture complex relationships and address challenges such as overfitting. The results demonstrate that location, business environment and digital maturity significantly influence environmental innovation. Moreover, company size moderates these relationships, either amplifying or attenuating their effects, thus providing a nuanced understanding of how firms can optimise their characteristics to advance sustainable practices. By integrating machine learning techniques into the analysis, this research contributes to the literature on environmental innovation by offering a systematic approach to identifying key drivers. These findings hold critical implications for policymakers and business leaders seeking to enhance sustainability through innovation.
{"title":"Company Location, Business Environment and Digital Maturity as Drivers of Environmental Innovation in Business","authors":"Carlos de las Heras‐Rosas, Juan Herrera‐Ballesteros, Pedro Mota Veiga, Rui Silva Rodrigues","doi":"10.1002/bse.70539","DOIUrl":"https://doi.org/10.1002/bse.70539","url":null,"abstract":"Environmental protection has emerged as a global priority in the contemporary context. As pivotal actors in the transition towards sustainable development, companies play a crucial role through the adoption of environmental innovations. This study investigates how organisational characteristics—specifically geographical location, business environment and digital maturity—influence the adoption of environmental innovations, employing machine learning models to develop a robust predictive framework. Although previous research has highlighted the relevance of these factors, their specific dynamics and interactions remain insufficiently explored. Drawing on data from Flash Eurobarometer 486, which comprises information from 16,365 firms across 27 EU Member States and 12 additional countries, this analysis examines how geographical context and internal capabilities shape environmental innovation performance, with particular attention given to the moderating role of firm size. The study leverages machine learning algorithms, including logistic regression, random forests and gradient boosting machines, to capture complex relationships and address challenges such as overfitting. The results demonstrate that location, business environment and digital maturity significantly influence environmental innovation. Moreover, company size moderates these relationships, either amplifying or attenuating their effects, thus providing a nuanced understanding of how firms can optimise their characteristics to advance sustainable practices. By integrating machine learning techniques into the analysis, this research contributes to the literature on environmental innovation by offering a systematic approach to identifying key drivers. These findings hold critical implications for policymakers and business leaders seeking to enhance sustainability through innovation.","PeriodicalId":9518,"journal":{"name":"Business Strategy and The Environment","volume":"4 1","pages":""},"PeriodicalIF":13.4,"publicationDate":"2026-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145993376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Michele Oppioli, Davide Calandra, Federico Lanzalonga, Paolo Biancone
Airport operators face growing climate‐change pressures; the circular economy offers pathways to reduce impacts and recover resources. We examine how airport operators apply the circular economy in practice. We use an exploratory qualitative multicase design based on practitioner‐generated documents (e.g., press releases and sustainability reports) retrieved via Nexis Uni (2007–2024; N = 216). Inductive coding in ATLAS.ti and semantic concept mapping with Leximancer enable cross‐case comparison. The analysis highlights decarbonisation roadmaps (renewables, electrification), sustainable aviation fuels and aircraft innovation, governance and stakeholder engagement, and 5R resource loops across operations and supply chains. The findings systematise circular‐economy practices in a complex infrastructure setting and clarify airport operators' roles within multilevel governance. The study offers actionable cues for managers and policymakers.
{"title":"Circular Economy Pathways for Airport Climate Change Mitigation","authors":"Michele Oppioli, Davide Calandra, Federico Lanzalonga, Paolo Biancone","doi":"10.1002/bse.70555","DOIUrl":"https://doi.org/10.1002/bse.70555","url":null,"abstract":"Airport operators face growing climate‐change pressures; the circular economy offers pathways to reduce impacts and recover resources. We examine how airport operators apply the circular economy in practice. We use an exploratory qualitative multicase design based on practitioner‐generated documents (e.g., press releases and sustainability reports) retrieved via Nexis Uni (2007–2024; <jats:italic>N</jats:italic> = 216). Inductive coding in ATLAS.ti and semantic concept mapping with Leximancer enable cross‐case comparison. The analysis highlights decarbonisation roadmaps (renewables, electrification), sustainable aviation fuels and aircraft innovation, governance and stakeholder engagement, and 5R resource loops across operations and supply chains. The findings systematise circular‐economy practices in a complex infrastructure setting and clarify airport operators' roles within multilevel governance. The study offers actionable cues for managers and policymakers.","PeriodicalId":9518,"journal":{"name":"Business Strategy and The Environment","volume":"57 1","pages":""},"PeriodicalIF":13.4,"publicationDate":"2026-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145993219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Muhammad Omair, Andreas Christensen, Brian Vejrum Waehrens
Remanufacturing is considered a highly effective strategy within the circular economy by researchers due to its economic and environmental advantages, as it converts end‐of‐use products (EOUPs) into new‐like products. However, managers often encounter difficulties in adopting and integrating remanufacturing into their businesses, mainly because of complex reverse logistics, the lack of a takeback system, and poor supply chain infrastructure. The current legislation, customers' awareness, and competitive advantages compelled firms to adopt remanufacturing businesses; however, this transformation is challenging to operationalize and scale up for a profitable business because the firm itself is responsible for the supply (by acquiring used products from unknown customers) and market (while ensuring consumer trust in remanufactured products). This scenario has drawn the attention of researchers and experts to identify the significant factors affecting businesses that adopt remanufacturing, as well as the challenges associated with it. Currently, the literature investigates significant factors affecting remanufacturing, but it is fragmented and focuses on specific processes without providing businesses with clear guidance on identifying, adopting, and scaling up remanufacturing. Therefore, a systematic review is required to provide a holistic overview that integrates these significant factors into a framework for remanufacturing transition and scalability. This review systematically examined 67 research articles and applied Gioia's methodology to identify 13 significant factors related to business framework conditions, organizational capabilities, and operational performance in remanufacturing practices. A strategic framework is developed by integrating significant factors to guide manufacturers in understanding the contextual requirements for successfully adopting remanufacturing, operationalizing it, and advancing it to an industrial‐scale business.
{"title":"Significant Factors and Challenges Affecting Remanufacturing Business Adoption at an Industrial Scale: A Systematic Review","authors":"Muhammad Omair, Andreas Christensen, Brian Vejrum Waehrens","doi":"10.1002/bse.70508","DOIUrl":"https://doi.org/10.1002/bse.70508","url":null,"abstract":"Remanufacturing is considered a highly effective strategy within the circular economy by researchers due to its economic and environmental advantages, as it converts end‐of‐use products (EOUPs) into new‐like products. However, managers often encounter difficulties in adopting and integrating remanufacturing into their businesses, mainly because of complex reverse logistics, the lack of a takeback system, and poor supply chain infrastructure. The current legislation, customers' awareness, and competitive advantages compelled firms to adopt remanufacturing businesses; however, this transformation is challenging to operationalize and scale up for a profitable business because the firm itself is responsible for the supply (by acquiring used products from unknown customers) and market (while ensuring consumer trust in remanufactured products). This scenario has drawn the attention of researchers and experts to identify the significant factors affecting businesses that adopt remanufacturing, as well as the challenges associated with it. Currently, the literature investigates significant factors affecting remanufacturing, but it is fragmented and focuses on specific processes without providing businesses with clear guidance on identifying, adopting, and scaling up remanufacturing. Therefore, a systematic review is required to provide a holistic overview that integrates these significant factors into a framework for remanufacturing transition and scalability. This review systematically examined 67 research articles and applied Gioia's methodology to identify 13 significant factors related to business framework conditions, organizational capabilities, and operational performance in remanufacturing practices. A strategic framework is developed by integrating significant factors to guide manufacturers in understanding the contextual requirements for successfully adopting remanufacturing, operationalizing it, and advancing it to an industrial‐scale business.","PeriodicalId":9518,"journal":{"name":"Business Strategy and The Environment","volume":"4 1","pages":""},"PeriodicalIF":13.4,"publicationDate":"2026-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145993218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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