Results 91 to 100 of about 2,502,880 (198)
Default Effect in ESG Investment: When a Recommendation Goes a Long Way
Business Strategy and the Environment, EarlyView.ABSTRACT Individual investors display a positive attitude toward ESG investments but typically fail to act upon it. We report results from a preregistered online experiment testing a default option on 1050 US investors examining the mechanisms driving the effectiveness of default options in promoting ESG investments.
Sai Sravanthi Ramadugula +2 more
wiley +1 more source
On improving Pseudo-relevance feedback using Pseudo-irrelevant documents
, 2010 Pseudo-Relevance Feedback (PRF) assumes that the top-ranking n documents of the initial retrieval are relevant and extracts expansion terms from them. In this work, we introduce the notion of pseudo-irrelevant documents, i.e.
BHOLE, A +3 more
core
Chain‐Level Business Model Patterns for the Green Logistics Transition
Business Strategy and the Environment, EarlyView.ABSTRACT Sustainability transitions in freight transport increasingly depend on coordinated changes across entire logistics networks, not just within individual firms. This study investigates how business‐model change unfolds across a multimodal European logistics chain engaged in reducing transport‐related emissions.
Marikka Heikkilä
wiley +1 more source
Green Hydrogen for Public Transportation: Insights From an ABM and From Palma de Mallorca Case Study
Business Strategy and the Environment, EarlyView.ABSTRACT The development of green hydrogen (GH2) value chains is crucial for decarbonizing sectors such as transport and industry. Their emergence, however, requires coordination among diverse actors, technologies, and regulations, which traditional analytical approaches struggle to capture.
Roberta De Cristofaro +2 more
wiley +1 more source
The effects of pseudo-relevance feedback on MT-based
, 2000 In this paper, we identify factors that affect machine translation (MT) of a source query for cross-language information retrieval (CLIR) and empirically evaluate the effect of pseudo relevance feedback on crosslanguage retrieval performance.
Hongming Jin +3 more
core
Stock Exchange ESG Disclosure Guidance and Corporate Carbon Mitigation: International Evidence
Business Strategy and the Environment, EarlyView.ABSTRACT This study investigates the tangible impact of the adoption of environmental, social, and governance (ESG) disclosure guidance by stock exchanges on corporate carbon mitigation, focusing on six major frameworks: the Global Reporting Initiative (GRI), the Sustainability Accounting Standards Board (SASB), the Task Force on Climate Related ...
Jiamian Yan, Le Luo, Nuraddeen Nuhu
wiley +1 more source
Flexible Pseudo-Relevance Feedback for NTCIR-2
, 2008 The University of Cambridge/Microsoft/Toshiba team participated in the NTCIR-2 Japanese-English Cross-Language IR task only, using the Okapi Basic Search System at the University of Cambridge.
Tetsuya Stephen +2 more
core
Business Strategy and the Environment, EarlyView.ABSTRACT Widespread digital adoption has challenged our understanding of how these tools reshape collaboration, trust and sustainability outcomes across different institutional and network contexts. As networks now pursue resilience and sustainable development in parallel, we map emerging research directions and identify how collaboration and ...
Ari Carisza Graha Prasetia +1 more
wiley +1 more source
Why web-based pseudo relevance feedback systems fail
, 2012 We review pseudo-relevance feedback as a mechanism for expanding short texts. Where short texts exhibit evolving concepts, topics and other characteristics, Web-based feedback systems were touted as the most ideal way of enriching the feature space of ...
J Zhang (7490018) +2 more
core
Business Strategy and the Environment, EarlyView.ABSTRACT Our study, based around an experiment, examines the consequences when generative AI tools are used to create and assess sustainability disclosures. There are two key findings: (1) that generative AI greenwashes sustainability disclosures, with our study participants doing little to mitigate this, and (2) that our study participants viewed AI ...
Ruth Dimes +3 more
wiley +1 more source