Results 81 to 90 of about 830,331 (240)
The Governance Gap: Democratizing Drug Development Through Decision Architecture
Drug development is most exposed to governance failure where it can least afford it, in global health. The field has more predictive power than at any point in its history and roughly the same failure rate it had a decade ago. We argue that this paradox persists because the field has invested heavily in prediction science while neglecting decision ...
Craig R. Rayner +16 more
wiley +1 more source
A simple crime hotspot forecasting algorithm [PDF]
Robert Bogucki +2 more
doaj +1 more source
Violent and property crime trends: local and international comparisons [PDF]
Overview Aim: To compare crime trends in New South Wales (NSW), Australia, New Zealand, Canada, the USA, England and Wales, and Scandinavia. Method: Trend data were extracted from publications and online data repositories.
Paul Nelson
core
ABSTRACT Using an integrated framework that combines the natural resource‐based view with contingency theory, this study examines how environmental management control systems (EMCS) build multinational firms' environmental capabilities and balance their environmental and economic performance while accounting for cross‐country contextual conditions.
Kimitaka Nishitani +4 more
wiley +1 more source
Global–Local Modulated Prototype Attention Network for Spatio-Temporal Crime Prediction
Accurate spatial–temporal crime prediction is a critical component of proactive public safety governance, yet it remains challenging due to complex dependency structures and severe data sparsity in real-world crime datasets.
Yuchen Zhao +4 more
doaj +1 more source
ABSTRACT Digitalization has reshaped professional services, yet its impact on client satisfaction remains ambiguous. This study examines the efficiency‐satisfaction paradox in China's digitized legal services. Using 5,500 client assessments from 110 firms, we identify an inverted U‐shaped relationship between legal service efficiency (LSE) and customer
Wenjing Liu, Soo Jeong Hong
wiley +1 more source
Artificial Intelligence and Corporate Social Irresponsibility
ABSTRACT This study examines whether and how firms' adoption of artificial intelligence (AI) is associated with corporate social irresponsibility (CSI). Ex ante, theories provide conflicting predictions regarding this association, making it an important empirical question.
Tobias Steindl
wiley +1 more source
Crime prediction before during and after COVID 19 using machine learning and RNN LSTM models
One of society’s foremost challenges is crime, and over the years, statistical methods have been employed for crime prediction, albeit with limited success rates.
Mohammed Abdul Shafee +3 more
doaj +1 more source
Analytical Capabilities of Statistical Methodology for Assessing Threats to Economic Security
Subject. Reduction of threats to economic security based on the construction of multifactorial statistical models that quantify the impact of factors on the level of economic crime, in particular, on the scale of material damage from economic crime ...
D. V. Dianov, E. I. Kuznetsova
doaj +1 more source
Exposing Gender Blindness in Business Scholarship on Modern Slavery
ABSTRACT The objective of this review is to analyse the treatment of gender within business scholarship on modern slavery and to propose a framework that supports more gender‐sensitive corporate responses. Modern slavery risk is an escalating concern for business, with the United Nations calling for its eradication by 2030.
Kathyayini Kathy Rao +2 more
wiley +1 more source

