Results 151 to 160 of about 9,567,163 (289)
Broad Skills, Smaller Footprints? Generalist CEOs and Firm Biodiversity Exposure
Business Strategy and the Environment, EarlyView.ABSTRACT We examine whether CEO generalist skills predict firm‐level biodiversity risk exposure, an emerging strategic and financial concern. Using the biodiversity indicator developed based on textual analysis and the General Ability Index, we find that firms led by generalist CEOs are associated with significantly lower disclosed biodiversity risk ...
Hafiz Hoque +2 more
wiley +1 more source
Optimizing Open Radio Access Network Systems with LLAMA V2 for Enhanced Mobile Broadband, Ultra-Reliable Low-Latency Communications, and Massive Machine-Type Communications: A Framework for Efficient Network Slicing and Real-Time Resource Allocation. [PDF]
Sensors (Basel)Tahir HA, Alayed W, Hassan WU, Do TD.
europepmc +1 more source
The Dark Side of Leadership: CEO Narcissism and the Quality of Climate‐Related Financial Disclosures
Business Strategy and the Environment, EarlyView.ABSTRACT This paper investigates the impact of narcissistic Chief Executive Officers (CEOs) on the quality of corporate climate‐related financial disclosure as required by the Task Force on Climate‐related Financial Disclosures (TCFD) framework. Using a sample of S&P 1500 firms, the analysis tests the association between principal component‐based two ...
Dauda Bola Abdulsalam +2 more
wiley +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT This narrative review examines the intersection of artificial intelligence, environmental, social and governance (ESG) strategies and sustainable value creation in contemporary business environments. As organisations face mounting pressure to demonstrate environmental stewardship, social responsibility and governance excellence, artificial ...
Emmanuel Junior Tenakwah +2 more
wiley +1 more source
Measuring Corporate Energy Transition Through Web‐Based Evidence and Large Language Models
Business Strategy and the Environment, EarlyView.ABSTRACT This paper proposes a scalable method to measure firm‐level engagement with the energy transition using corporate website disclosures and large language models (LLMs). We construct a restrictive, policy‐aligned rubric that codes evidence of (i) energy efficiency improvements, (ii) decarbonization and emissions‐reduction strategies, and (iii ...
Xavier Martínez‐Barbero +2 more
wiley +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT Entrepreneurial ecosystems (EEs) are systems shaping innovation and sustainable development, yet limited evidence exists on the relative predictive contribution of their components to sustainable value creation. This study examines associations between six EE dimensions and environmental, social and economic value creation among 245 knowledge ...
Damaris Chieregato Vicentin +4 more
wiley +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT This paper investigates how digitalisation and organisational innovation shape firms' routine environmental protection efforts in Spanish manufacturing. Using an unbalanced panel of 2348 firms and 7603 firm‐year observations from 2009–2023 drawn from the Survey on Business Strategies (ESEE), the study examines the determinants of current ...
Alexy Apolo‐Romero +1 more
wiley +1 more source
Environmental, Social, and Governance Information Disclosure: Who Discloses Wins?
Business Strategy and the Environment, EarlyView.ABSTRACT As Environmental, Social, and Governance (ESG) Information Disclosure (ESG‐ID) transitions from voluntary to mandatory disclosure, its drivers and impacts have become focal points of discussion. Existing research, however, lacks integration, which, in turn, has led to fragmented theoretical and practical insights.
Siqi Wang +3 more
wiley +1 more source
Integrating survival analysis and machine learning for modeling overtaking duration on rural two-lane highways. [PDF]
PLoS OneShi C, Fu S, Zhao Y, He J, Ye P, Yang W.
europepmc +1 more source
Clinical Anatomy, EarlyView.ABSTRACT The aim of this study is to perform high accuracy sex prediction from clavicle images using proposed hybrid deep learning models and traditional deep learning models. The clavicle of 807 female and 805 male individuals obtained from Computed Tomography were segmented in 3D format and saved in jpeg format as superior–inferior and right–left ...
Yusuf Secgin +8 more
wiley +1 more source