Results 31 to 40 of about 316 (183)

Prosumers and Sustainable Market Governance: Development of the Community‐Oriented Marketing Approach Scale

Business Strategy and the Environment, EarlyView.
ABSTRACT This research develops and empirically validates the Community‐Oriented Marketing Approach (COMA), a 20‐item multidimensional scale designed to measure prosumer perceptions within participatory market systems. COMA conceptualizes prosumers as active co‐value creators and institutional agents, driving sustainable market governance.
Alpaslan Kelleci, Oguzhan Essiz
wiley   +1 more source

Whose Sustainability Counts? Board Governance, ESG Ratings, and Sustainable Development Goals: Evidence on the ESG–SDG Wedge

Business Strategy and the Environment, EarlyView.
ABSTRACT Institutional investors increasingly rely on ESG ratings to evaluate financially material sustainability risks, while governments promote corporate alignment with the United Nations Sustainable Development Goals (SDGs). Because these frameworks differ substantially in capital market salience and monitoring intensity, board oversight may not ...
Mohamed Hegazy, Diego Prior, Mahmoud Zarea   +2 more
wiley   +1 more source

Board Gender Diversity and the Quality of Corporate Climate Impact Disclosure: UK Evidence

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines how board gender diversity influences the quality of corporate climate impact disclosure, a critical element of firms' environmental transparency. Focusing on UK nonfinancial firms, we draw on gender socialisation and critical mass theories to explore how diverse boards contribute to strategic climate reporting.
Mahmoud Elmarzouky, Sabrina Khemiri, Doaa Shohaieb   +2 more
wiley   +1 more source

Unlocking Federated Learning for ESG Reporting: Prioritizing Critical Adoption Challenges in an Emerging Economy Context

Business Strategy and the Environment, EarlyView.
ABSTRACT The growing focus on environmental, social, and governance (ESG) issues has prompted organizations to explore innovative ways to manage their businesses. It has become imperative for organizations to adopt ESG reporting. The applications of federated learning help to enhance the scalability and credibility of ESG reporting in contemporary ...
Naveen Virmani, Srikant Gupta, Koppiahraj Karuppiah, Jose Arturo Garza‐Reyes   +3 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, Jun‐Hwa Cheah, Christoph Wu, Weng Marc Lim   +3 more
wiley   +1 more source

Mechanistic deconvolution of BSA size variants by constrained Raman pseudo‐Voigt hard modeling during anion‐exchange chromatography

Biotechnology Progress, EarlyView.
Abstract In biopharmaceutical manufacturing, protein aggregation is a critical quality attribute, necessitating rapid and reliable analytical strategies during downstream processes like anion‐exchange chromatography (AEX). While Raman spectroscopy enables continuous monitoring of protein secondary structure, standard data‐driven regression models ...
Jakob Heyer‐Müller, Robin Schiemer, Lars Robbel, Michael Schmitt, Jürgen Hubbuch   +4 more
wiley   +1 more source

Irregular visits in longitudinal studies: Comparing inverse intensity of visit weighting and imputation in a causal analysis of antidepressant therapeutic treatment

Canadian Journal of Statistics, EarlyView.
Abstract Irregular observation times are common in longitudinal observational studies and can affect causal inferences. We use data from electronic health records of Kaiser Permanente Washington patients in the United States who initiated an antidepressant medication between 2008 and 2018, with a confirming diagnosis of depression. We are interested in
Janie Coulombe, Erica E. M. Moodie, Susan M. Shortreed   +2 more
wiley   +1 more source

Time‐Dependent Bias and Prognostic Confounding in Exposure–Response Analysis of Targeted Therapies: Lessons from Sunitinib in Metastatic Renal Cancer

Clinical Pharmacology &Therapeutics, EarlyView.
Exposure–response (E–R) analyses of sunitinib in metastatic renal cell carcinoma (mRCC) have supported concentration‐guided dose escalation. However, such analyses may be biased when exposure metrics incorporate post‐baseline dose modifications, time‐varying apparent clearance, or baseline factors that influence both pharmacokinetics and clinical ...
Han Liu, Lena E. Friberg
wiley   +1 more source

Hybrid Temporal Autoencoder and Similarity Matching for Low Aggregation Level Long Time Series Forecasting

Journal of Forecasting, EarlyView.
ABSTRACT Deep learning‐based long time series forecasting (LTSF) has achieved high accuracy by effectively capturing the underlying trends, seasonality, and temporal dependencies within time series data. However, at the individual entity level, termed the low aggregation level (LAL), intermittency, irregularity, and data sparsity undermine the ...
Hanbyeol Park, Sunghyun Sim, Kikun Park, Yongjae Lee, Eunhee Park, Hyerim Bae   +5 more
wiley   +1 more source

Beyond Prediction: Data, Baselines, Explanation, and Causation in Machine Learning for Food Insecurity

Food Safety and Health, EarlyView.
The gains from machine learning in nowcasting and forecasting food insecurity are still small and limited and cannot be observed in all countries. This review summarizes the public resources for data, corrects common misconceptions about model requirements, and establishes baseline requirements, explanations, causal inference, and equity in operational
Shabnam Mehboob, Azman Abdullah, Gunesh Kumar, Samreen Memon, Naila Afghan   +4 more
wiley   +1 more source