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Institutional logic relationships and sustainable change in healthcare: a systematic review of the literature 制度逻辑关系和医疗保健的可持续变化:文献的系统回顾
IF 4.9 2区 管理学 Q1 MANAGEMENT Pub Date : 2026-02-08 DOI: 10.1080/14719037.2025.2609173
Nicola Mountford, Yuzhuo Cai
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引用次数: 0
Green Talk, Costly Walk: The Financial Cost of Greenwashing 绿色谈话,昂贵的行动:洗绿的经济成本
IF 13.4 1区 管理学 Q1 BUSINESS Pub Date : 2026-02-08 DOI: 10.1002/bse.70595
S. Taddeo, A. Regoli, O. Weber, R. Carè
This study investigates the financial consequences of greenwashing, operationalized as the misalignment between ESG disclosure and actual ESG performance. While prior research has explored the reputational and ethical dimensions of greenwashing, its impact on firms' cost of debt remains underexamined. Drawing on a panel of 411 S&P 500 companies over a 10‐year period (2014–2023), we construct two firm‐level indicators of greenwashing, grESG and gr2ESG, based on z‐scores and percentile ranks, respectively. These measures capture the credibility gap between what firms communicate and what they deliver in terms of sustainability. Using random effects within‐between (REWB) models, we decompose structural (between‐firm) and temporal (within‐firm) effects to assess how ESG inconsistency influences debt pricing. Our findings reveal that the between‐firm component of greenwashing is positively and significantly associated with the after‐tax cost of debt, suggesting that financial markets interpret ESG misalignment as a persistent reputational trait rather than a short‐term deviation. The results are robust across alternative specifications, including models that account for ESG‐related controversies. The study contributes to the literature by demonstrating that ESG credibility is a priced financial attribute and that symbolic sustainability efforts, defined as disclosure‐oriented or reputational gestures without substantive operational changes, may backfire in terms of financing costs.
本研究调查了“漂绿”的财务后果,即ESG披露与实际ESG绩效之间的不一致。虽然之前的研究已经探讨了“漂绿”的声誉和道德层面,但其对企业债务成本的影响仍未得到充分研究。我们选取了411家标普500指数公司10年间(2014-2023年)的数据,分别基于z分值和百分位排名,构建了两个企业层面的“洗绿”指标——grESG和gr2ESG。这些措施抓住了公司在可持续性方面沟通和交付之间的可信度差距。利用REWB模型,我们分解了结构(公司之间)和时间(公司内部)效应,以评估ESG不一致性如何影响债务定价。我们的研究结果表明,企业间的“漂绿”成分与税后债务成本呈正相关,这表明金融市场将ESG偏差解释为一种持久的声誉特征,而不是短期偏差。结果是稳健的替代规范,包括模型,说明ESG相关的争议。该研究通过证明ESG可信度是一种定价的财务属性,以及象征性的可持续性努力(定义为披露导向或没有实质性运营变化的声誉姿态)可能在融资成本方面适得其反,从而为文献做出了贡献。
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引用次数: 0
When Overconfident CEOs Deliver Higher Returns: Evidence From Acquisition Waves 当过度自信的ceo带来更高的回报:来自收购浪潮的证据
IF 13.5 1区 管理学 Q1 BUSINESS Pub Date : 2026-02-08 DOI: 10.1177/01492063251397362
Jun Xu, Jerayr (John) Haleblian, Guoli Chen, Jamie Yixing Tong
Overconfident CEOs are frequently criticized for making value-destroying corporate acquisitions in which they acquire excessively and overpay for their acquisitions. By contrast, we argue that overconfident CEOs can deliver higher returns in acquisition waves because the motivation and the requirement for action speed that occur in acquisition waves are different from other acquisition contexts. Specifically, we hypothesize and find that overconfident CEOs are more likely to capture preemption opportunities by acting earlier in acquisition waves, and such rapid moves enable overconfident CEOs to achieve higher acquisition returns. In addition, drawing upon organizational learning research, we hypothesize and find that in acquisition waves, pre-wave experience with large and related acquisitions facilitates overconfident CEOs to pursue acquisitions even more quickly during acquisition waves, which further enhances acquisition returns. Contributions to the acquisitions and CEO overconfidence literatures are discussed.
过度自信的首席执行官经常被批评为进行价值破坏的公司收购,在收购中他们过度收购并为收购支付过高的价格。相比之下,我们认为过度自信的ceo在收购浪潮中可以提供更高的回报,因为在收购浪潮中发生的动机和对行动速度的要求不同于其他收购环境。具体来说,我们假设并发现,过度自信的ceo更有可能通过在收购浪潮中采取更早的行动来抓住先发制人的机会,而这种快速的行动使过度自信的ceo能够获得更高的收购回报。此外,根据组织学习研究,我们假设并发现,在收购浪潮中,大型和相关收购的前浪潮经验有助于过度自信的ceo在收购浪潮中更快地追求收购,从而进一步提高收购回报。讨论了对收购和CEO过度自信的贡献。
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引用次数: 0
Critical Success Factors for Enhancing the Circular Economy Performance of Last‐Mile Cold Chain Logistics Packaging for Urban Agricultural Products 提高都市农产品最后一英里冷链物流包装循环经济绩效的关键成功因素
IF 13.4 1区 管理学 Q1 BUSINESS Pub Date : 2026-02-08 DOI: 10.1002/bse.70613
Miao Su, Chunyu Liu, Shucheng Duan, Taewoo Roh
With the increasing demand for high‐quality agricultural products, the agricultural cold‐chain logistics packaging (ACLP) industry faces significant environmental pressure and circular economy issues. This study analyzes the critical success factors (CSFs) that would enhance ACLP circular economy performance (CEP). The adversarial interpretive structure model uncovers CSF interdependence and driving forces, whereas the fuzzy analytic hierarchy process quantifies their weights. This comprehensive analysis suggests that waste management regulations are the most motivating CSFs among all strategies. The research results also underscore the critical importance of factors such as recyclable material input, government circular economy incentives, and eco‐design. Consequently, this study lays a theoretical framework for formulating systematic development strategies for ACLP organizations while promoting the sustainable advancement of CEP. These findings provide researchers with an integrated theoretical and methodological framework and offer policymakers and logistics managers a prioritized action plan.
随着人们对高品质农产品需求的不断增加,农产品冷链物流包装行业面临着巨大的环境压力和循环经济问题。本文分析了提高ACLP循环经济绩效的关键成功因素(CSFs)。对抗性解释结构模型揭示了CSF的相互依赖性和驱动力,而模糊层次分析法量化了它们的权重。这一综合分析表明,在所有战略中,废物管理条例是最具激励作用的可持续发展战略。研究结果还强调了可回收材料投入、政府循环经济激励和生态设计等因素的重要性。因此,本研究为ACLP组织制定系统的发展战略,同时促进CEP的可持续发展奠定了理论框架。这些发现为研究人员提供了一个综合的理论和方法框架,并为政策制定者和物流管理者提供了一个优先的行动计划。
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引用次数: 0
Collaboration strategies for technology investment in agricultural supply chains: The value of platform financing 农业供应链技术投资协同策略:平台融资的价值
IF 6.4 2区 管理学 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2026-02-08 DOI: 10.1016/j.ejor.2026.02.004
Changhua Liao, Qihui Lu, Victor Shi, Yuxuan Liu
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引用次数: 0
A Taxonomy of Predictive Maintenance as a Basis for Supra‐Regional Sustainability Monitoring—Literature Review 预测性维护分类作为超区域可持续性监测的基础——文献综述
IF 13.4 1区 管理学 Q1 BUSINESS Pub Date : 2026-02-08 DOI: 10.1002/bse.70599
Christian Schachtner, Nadine Baumann, Marek Jabłoński, Adam Jabłoński, Mariusz Bednarek, Sławomir Luściński, Piotr Bilski
The concept of predictive maintenance in advanced manufacturing systems is crucial from the point of view of resource efficiency in the era of high competitiveness forced by energy transformation in the digital economy. Against the backdrop of sustainability and the opportunities a data cooperative offers, the combination of predictive maintenance, sustainable data use and data cooperatives could not only enable the private sector, but also the public sector to harmonise innovation, efficiency and sustainability to reach globally significant political goals such as the UN's 17 Sustainable Development Goals with the help of technology. The aim is to create social added value when understanding data as a resource, sharing it and using it specifically for sustainable change. In the subject literature and among application solutions, one can identify numerous forms of a taxonomy of various variables describing explained and explanatory variables. Aimed at improving the efficiency of production processes, taxonomy is of fundamental importance. It mainly affects the effectiveness of event prediction used to identification components based on taxonomy description which have influence for monitor the efficiency of production systems. The article provides a review of the literature on the predictive maintenance of production systems categorisation. The cognitive gap in the presented results identifies main thematic areas of predictive maintenance. The study was conducted on 54 articles from the Scopus database and 37 articles from the Web of Science database. Within the applied methodology the Prisma model was used.
从数字经济能源转型所带来的高竞争力时代的资源效率角度来看,先进制造系统的预测性维护概念至关重要。在可持续性和数据合作社提供的机遇的背景下,预测性维护、可持续数据使用和数据合作社的结合不仅可以使私营部门,也可以使公共部门协调创新、效率和可持续性,从而在技术的帮助下实现联合国17项可持续发展目标等全球重大政治目标。其目的是在将数据理解为一种资源、共享数据并将其专门用于可持续变革时,创造社会附加价值。在主题文献和应用解决方案中,可以识别描述被解释变量和解释变量的各种变量分类法的许多形式。为了提高生产过程的效率,分类学是至关重要的。它主要影响事件预测的有效性,而事件预测用于基于分类描述的组件识别,对生产系统的监控效率有影响。本文对生产系统分类预测性维护方面的文献进行了综述。提出的结果中的认知差距确定了预测性维护的主要主题领域。该研究对Scopus数据库中的54篇文章和Web of Science数据库中的37篇文章进行了研究。在应用方法中,使用了Prisma模型。
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引用次数: 0
Green Minds, Green Outcomes: Green Intellectual Capital Drives Environmental Performance via Creativity, Moderated by Leadership and Regulations in Ghana 绿色思想,绿色成果:加纳的领导力和法规调节下,绿色智力资本通过创造力推动环境绩效
IF 13.4 1区 管理学 Q1 BUSINESS Pub Date : 2026-02-08 DOI: 10.1002/bse.70605
Eric Sie Forenten, Philip Opoku Mensah, Jing Yi Yong, Henry Kofi Mensah
Environmental sustainability has gained more scholarly attention because of the dangers of business and human activities to the natural environment. To mitigate the environmental problems, scholars have advocated for the deliberate development of the green intellectual capital of firms. Drawing on the natural resource‐based view (NRBV) theory, the study examined the impact of green intellectual capital (GIC) on environmental performance (ENVP) mediated by green creativity (GC), moderated by green transformational leadership (GTL) and environmental regulations (ENREGs). A survey of 264 managers and owners in Ghana's transport and logistics sector was analysed using PROCESS macro. The findings demonstrated that GC mediates the relationship between GIC and ENVP. Furthermore, the effect of GIC on ENVP via GC depends on GTL and ENREG. These findings advance theoretical understanding of GIC mechanisms and provide practical guidance for environmentally responsible leadership in emerging economies.
由于商业和人类活动对自然环境的危害,环境可持续性得到了越来越多的学术关注。为了缓解环境问题,学者们主张有意识地发展企业的绿色智力资本。基于自然资源基础理论(NRBV),本研究考察了绿色智力资本(GIC)对环境绩效(ENVP)的影响,该影响由绿色创造力(GC)介导,由绿色变革型领导(GTL)和环境法规(ENREGs)调节。对264名加纳运输和物流部门的经理和业主进行了调查,使用PROCESS宏观进行了分析。结果表明,GC介导了GIC和ENVP之间的关系。此外,GIC通过GC对ENVP的影响取决于GTL和ENREG。这些发现促进了对政府投资机制的理论理解,并为新兴经济体的环境负责任领导提供了实践指导。
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引用次数: 0
Primal-dual algorithm for weakly convex functions under sharpness conditions 锐度条件下弱凸函数的原对偶算法
IF 6.4 2区 管理学 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Pub Date : 2026-02-07 DOI: 10.1016/j.ejor.2026.01.053
Ewa M. Bednarczuk, Monika Syga, The Hung Tran
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引用次数: 0
Bridging hospitality and healthcare: A data-driven approach to leveraging service excellence for improved patient satisfaction 连接酒店服务和医疗保健:一种数据驱动的方法,利用卓越的服务来提高患者满意度
IF 11.7 1区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM Pub Date : 2026-02-07 DOI: 10.1016/j.ijhm.2026.104599
Sreejith R., Sinimole K.R., Siva Shankar S., Bhuvan Unhelkar
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引用次数: 0
From humans to objects: The impact of service robots on employees’ objectification of others in the hospitality workplace 从人到物:服务机器人对酒店工作场所员工对他人物化的影响
IF 11.7 1区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM Pub Date : 2026-02-07 DOI: 10.1016/j.ijhm.2026.104597
Bin Li, Xi Y. Leung, Yingxin Huo, Liyu Yang
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