Results 181 to 190 of about 87,576,204 (331)

Entrepreneurial Ecosystem Conditions and Sustainable Value Creation: Predictive Evidence From Knowledge‐Intensive Ventures in São Paulo, Brazil

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, Gustavo Hermínio Salati Marcondes de Moraes, Bruno Brandão Fischer, João Henrique Paulino Pires Eustachio, Walter Leal Filho   +4 more
wiley   +1 more source

Evaluating cellular communication sensing for lapse risk prediction during early recovery from alcohol use disorder: A longitudinal observational study. [PDF]

PLoS One
Wyant K, Yu J, Curtin JJ.
europepmc   +1 more source

Digitalisation, Organisational Innovation and Firms' Environmental Protection Expenditures: Evidence From Spanish Manufacturing

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, Pedro Sánchez‐Sellero   +1 more
wiley   +1 more source

Integrating remote testing and machine learning to identify markers of cerebellar ataxia at home. [PDF]

Commun Med (Lond)
Ponger P, De Picciotto Y, Maisel D, Liandres H, Brisman S, Saban W.   +5 more
europepmc   +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, Jun‐Hwa Cheah, Christoph Wu, Weng Marc Lim   +3 more
wiley   +1 more source

Machine learning-assisted development of a fast Mechanochemical Johnson-Corey-Chaykovsky reaction. [PDF]

Nat Commun
Mele F, Constantin AM, Barezzi M, Rossi L, Ergasti A, Fontanini T, Civardi S, Sundermann RM, Mazzeo PP, Maggi R, Della Ca' N, Prati A, Capaldo L.   +12 more
europepmc   +1 more source

Sex Prediction From the Clavicle Using Computerized Tomography Images via Traditional and Hybrid Deep Learning Models

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, Muhammet Cakmak, Deniz Senol, Seren Kaya, Oğuzhan Oztürk, Oğuzhan Harmandaoğlu, Hatice Yenigül, Eslem Yaren Bıyık, Omer Onbaş   +8 more
wiley   +1 more source

Suicide across occupational groups in Australia, 2001-2022: a retrospective mortality study. [PDF]

BMJ Public Health
Maheen H, King T.
europepmc   +1 more source

Mitigating Chatbot Service Failures: The Roles of Anthropomorphism, Acknowledgment, and Apology

Journal of Consumer Behaviour, EarlyView.
ABSTRACT This study examines how chatbot anthropomorphism shapes consumer responses to service failure by distinguishing between process failure and outcome failure and by testing alternative recovery responses. Across three pretests (N = 30, 120 and 240) and two scenario‐based experiments (Study 1: N = 346; Study 2: N = 778), consumers evaluated ...
Juyon Lee, Wujin Chu, Rajat Roy
wiley   +1 more source

Resolving root causes of experiment discrepancies guided by machine learning. [PDF]

Nat Commun
Neudecker D, Kelly KJ, Vander Wiel SA, Carlson AD, Grosskopf MJ, Brown DA, Pritychenko B, Walton NAW, Haight RC.   +8 more
europepmc   +1 more source