A Critical Analysis of Microsoft's Rhetoric and Reality of Sustainability Engagement
ABSTRACT This study critically examines Microsoft's environmental, social and governance (ESG) rhetoric and operational reality, to offer insights that extend beyond conventional greenwashing or bluewashing. Drawing on over 20 years of Microsoft's sustainability reports (2003–2024), third‐party ESG evaluations and media investigations, it employs ...
Omaima A. G. Hassan, Iqbal Khadaroo
wiley +1 more source
Toward robust social media sentiment for SMEs: a comparative study of dictionary-based and machine learning approaches with insights for hybrid methodologies. [PDF]
Susanto H +10 more
europepmc +1 more source
Data Dictionary: Generative AI in Academic Research: Database on Usage, Perce
Juan Moisés de la Serna
openalex +1 more source
ABSTRACT This study examines sectoral heterogeneity in corporate biodiversity disclosure (CBD) among Chinese listed firms over the period 2001–2023. Drawing on stakeholder, institutional, and resource dependency theories, it investigates how environmental exposure, ownership structures, and market dynamics influence biodiversity risk recognition and ...
Orkun Bayram +2 more
wiley +1 more source
A deep dictionary clustering approach for unsupervised image retrieval using convolutional sparse coding. [PDF]
Sucharitha G +6 more
europepmc +1 more source
ABSTRACT This study provides an exploratory, descriptive analysis of how knowledge management (KM) research engages with responsible sustainability from a strategic perspective. Using bibliometric science mapping, we analyse 97 Web of Science publications to identify dominant thematic patterns, relative emphases and conceptual blind spots shaping the ...
Jaime J. González‐Masip
wiley +1 more source
Clinical evaluation of free-breathing cardiac multi-parametric mapping using dictionary-based motion correction. [PDF]
Zhao T +8 more
europepmc +1 more source
Decoding Emotional Signatures of Ethical Ads: An Analysis of Actor‐Viewer Synchrony
ABSTRACT We examine whether ethical advertisements differ from conventional ads in their on‐screen emotional signatures and whether those signatures transfer to actor‐viewer synchrony. Study 1 analyses 138 professionally produced YouTube ads using Automated Facial Expression Recognition (AFER) and Convolutional Neural Networks (CNN) to quantify actor ...
Vik Naidoo, Nicolas Hamelin
wiley +1 more source
Integrated framework utilizing scene text detection and recognition techniques for enhancing point of interest extraction from name boards in all Indic languages. [PDF]
Kashyap AK +3 more
europepmc +1 more source

