Results 211 to 220 of about 1,506,457 (286)

Bridging Global Green HRM and Local Behavior: The Supervisory Role in MNE Subsidiaries

open access: yesBusiness 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
wiley   +1 more source

Digital Transformation on Green Operational Performance: Evidence From the E‐Waste Firm's Perspective

open access: yesBusiness 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

Do Big Data Analytics and Artificial Intelligence Enhance Corporate Sustainability? The Moderating Roles of Regulation and Management Support

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT We examine the effects of big data analytics (BDA) and artificial intelligence (AI) on corporate sustainability performance, specifically investigating the influence of regulatory pressure and top management support. Utilizing hierarchical regression analysis on questionnaire data from 220 Chinese manufacturing firms, we find that both BDA and
Mandella Osei‐Assibey Bonsu   +2 more
wiley   +1 more source

Highlighting That Green Products Derive From Waste: Which Is the Effect on Consumer Behavioral Intention?

open access: yesBusiness 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
wiley   +1 more source

Consumers' Intention to Use Circular Business Models: A Configurational Analysis

open access: yesBusiness 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
wiley   +1 more source

Technological Turbulence, Circular Economy Practices, and Digitalization as Determinants of Innovative Culture in High‐Growth Firms

open access: yesBusiness 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

Sustainability Orientation and Entrepreneurial Performance in Resource‐Constrained Contexts

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This study examines how sustainability orientation shapes entrepreneurial performance in bottom‐of‐the‐pyramid (BoP) markets by theorizing responsible entrepreneurship as a central mechanism and BoP orientation as a contextual contingency. Using survey data from 283 small‐ and medium‐sized enterprises (SMEs) in Ghana, we integrate perspectives
George Obeng Dankwah   +5 more
wiley   +1 more source

Neighborhood linear discriminant analysis

Pattern Recognition, 2022
Abstract Linear Discriminant Analysis (LDA) assumes that all samples from the same class are independently and identically distributed (i.i.d.). LDA may fail in the cases where the assumption does not hold. Particularly when a class contains several clusters (or subclasses), LDA cannot correctly depict the internal structure as the scatter matrices ...
Ning Ye, Junbin Gao, Fa Zhu
exaly   +3 more sources

Robust and Sparse Linear Discriminant Analysis via an Alternating Direction Method of Multipliers

IEEE Transactions on Neural Networks and Learning Systems, 2020
In this paper, we propose a robust linear discriminant analysis (RLDA) through Bhattacharyya error bound optimization. RLDA considers a nonconvex problem with the $L_{1}$ -norm operation that makes it less sensitive to outliers and noise than the $L_{2}
Wotao Yin, Chunna Li, Yuan-Hai Shao
exaly   +2 more sources

Robust Sparse Linear Discriminant Analysis

IEEE Transactions on Circuits and Systems for Video Technology, 2019
Linear discriminant analysis (LDA) is a very popular supervised feature extraction method and has been extended to different variants. However, classical LDA has the following problems: 1) The obtained discriminant projection does not have good ...
Lunke Fei, Xiaozhao Fang, Jie Wen
exaly   +2 more sources

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