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Business Strategy and the Environment, EarlyView.ABSTRACT Circular supply chain management (CSCM) practices are seen as a solution for addressing society's many significant environmental challenges. Although existing studies recognise the importance of reverse engineering in combating poverty, there is limited knowledge about its effectiveness in shaping CSCM practices to address climate change and ...
Yaw Agyabeng‐Mensah +2 more
wiley +1 more source
Strategic Impact of EU Taxonomy on Pharmaceutical Firms' Performance
Business Strategy and the Environment, EarlyView.ABSTRACT Sustainability has become a central concern in economic policy and corporate governance, increasingly formalised through regulatory frameworks of the European Union (EU). The European Commission has published the EU Taxonomy, which allows economic activities and their contribution to sustainability to be analysed, taking into account ...
Alicia Ramírez‐Orellana +3 more
wiley +1 more source
Bridging Global Green HRM and Local Behavior: The Supervisory Role in MNE Subsidiaries
Business Strategy and the Environment, EarlyView.ABSTRACT Multinational enterprises (MNEs) increasingly deploy global Green Human Resource Management (GHRM) practices to drive environmental sustainability across geographically dispersed subsidiaries. However, translating these standardized practices into local employee green behavior presents significant implementation challenges, particularly in ...
Jeeyoon Jeong, DuckJung Shin, Wanyun Tai
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Business Strategy and the Environment, EarlyView.ABSTRACT Digital transformation (DT) is increasingly recognised as essential for improving environmental performance in process‐intensive and hazardous sectors; however, the mechanisms by which digitalisation translates into green operational performance (GOP) and environmental accountability remain insufficiently investigated, particularly in ...
Amila Kasun Sampath Udage Kankanamge +2 more
wiley +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT In the current market landscape, many innovative eco‐friendly materials are being developed. Plant‐based leather is being used recently in the production of fashion accessories. Based on the rational perspective in explaining sustainable consumer behavior, this study investigates the effect of green perceived utility, perceived performance ...
Rosa Maria Dangelico, Luca Fraccascia
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Consumers' Intention to Use Circular Business Models: A Configurational Analysis
Business Strategy and the Environment, EarlyView.ABSTRACT Circular business models (CBMs) integrate ecological sustainability and resource efficiency into core business strategies, but their success depends on consumers' intention to use. Grounded in expectancy–value theory, this study investigates how product‐related factors (perceived usefulness, convenience, value for money, and performance risk ...
Christof Falkenberg +4 more
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Business Strategy and the Environment, EarlyView.ABSTRACT In a business environment characterized by technological turbulence and an increasing societal demand for greater sustainability, companies seeking to enhance their growth are compelled to foster organizational cultures that promote continuous innovation.
José Bocoya‐Maline +2 more
wiley +1 more source
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Transferable Linear Discriminant Analysis
IEEE Transactions on Neural Networks and Learning Systems, 2020Linear discriminant analysis (LDA) has been widely used as the technique of feature exaction. However, LDA may be invalid to address the data from different domains. The reasons are as follows: 1) the distribution discrepancy of data may disturb the linear transformation matrix so that it cannot extract the most discriminative feature and 2) the ...
Na Han +6 more
openaire +2 more sources
1960
(Uploaded by Plazi from the Biodiversity Heritage Library) No abstract provided.
Riffenburgh, Robert H. +1 more
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(Uploaded by Plazi from the Biodiversity Heritage Library) No abstract provided.
Riffenburgh, Robert H. +1 more
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2012
In this chapter we discuss another popular data mining algorithm that can be used for supervised or unsupervised learning. Linear Discriminant Analysis (LDA) was proposed by R. Fischer in 1936. It consists in finding the projection hyperplane that minimizes the interclass variance and maximizes the distance between the projected means of the classes ...
Petros Xanthopoulos +2 more
openaire +1 more source
In this chapter we discuss another popular data mining algorithm that can be used for supervised or unsupervised learning. Linear Discriminant Analysis (LDA) was proposed by R. Fischer in 1936. It consists in finding the projection hyperplane that minimizes the interclass variance and maximizes the distance between the projected means of the classes ...
Petros Xanthopoulos +2 more
openaire +1 more source