Results 211 to 220 of about 175,057 (313)

Batch evaluation of collective owned commercialised construction land using machine learning. [PDF]

Sci Rep
Zhang W, Huang L, Lu S, Deng S, Wu B, Wei Y.   +5 more
europepmc   +1 more source

Corporate Sustainability Transition: Methodological Analysis for a Rating Model

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study introduces a new rating model for the evaluation of corporate sustainability, addressing the inconsistencies and divergences that characterize current ESG assessment systems. The model is hierarchically structured, comprising 99 indicators organized into 19 modules, and is designed to be adaptable by sector and firm size.
Riccardo Censi, Paola Campana, Fulvio Schettino, Chiara De Pucchio   +3 more
wiley   +1 more source

Data asset valuation model based on generative artificial intelligence. [PDF]

PLoS One
Tang Y, Liu Y, Liu D.
europepmc   +1 more source

Sustainability Certification and Tourist Behavior: The Role of Trust in Certification Bodies and Destination Social Responsibility

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Tourism is under growing pressure to adopt sustainable practices due to the negative impacts of mass tourism on destinations. Sustainability certification schemes (SCS) have emerged as voluntary governance tools that signal responsible practices and reduce information asymmetry.
Patricia Martínez García de Leaniz, Ángel Herrero Crespo, María del Mar García de los Salmones   +2 more
wiley   +1 more source

Climate policy uncertainty and its impact on real estate market dynamics: A sectoral and regional analysis. [PDF]

PLoS One
Cho C, Yang J, Jang B.
europepmc   +1 more source

Exploring the Interrelationships Among Supply Chain Emissions, Financial Performance, Market Value, and Board Sustainability: An Exploration of the European Landscape

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT National and supranational institutions are establishing emission trading systems and control schemes in an attempt to manage stakeholders' willingness to engage with regulatory systems and reduce greenhouse gas emissions (GHG). Nonetheless, despite the national and supranational focus on carbon neutrality, little research has been centered ...
Daniele Giordino, Martina Panero, Nourah O. Alshaghdali, Judith Petra Koltai   +3 more
wiley   +1 more source

Mitigating housing market shocks: an agent-based reinforcement learning approach with implications for real-time decision support. [PDF]

J Simul
Olmez S, Heppenstall A, Ge J, Elsenbroich C, Birks D.   +4 more
europepmc   +1 more source

Substantive or Symbolic? Analyzing the Quality of Impact Reports in Italian B‐Corps Through Legitimacy Theory

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Sustainability reporting has become increasingly compelling, particularly among hybrid organizations such as B‐Corps, which seek to balance profit and purpose and are required to publish annual Impact Reports. This study assesses the completeness of disclosed information in the 2022 Impact Reports of 74 Italian B‐Corps, drawing on legitimacy ...
Laura Ferraro, Franco Ernesto Rubino, Carmelo Arena, Diego Mazzitelli   +3 more
wiley   +1 more source

Digital assets: risks, regulations, mitigation. [PDF]

Financ Innov
Teng HW, Härdle WK, Osterrieder J, Pele DT, Baals LJ, Papavassiliou V, Bolesta K, Kabašinskas A, Filipovska O, Thomaidis NS, Moukas AI, Goundar S, Nasir JA, Weinberg AI, Arakelian V, Truică CO, Akar M, Kabaklarlı E, Apostol ES, Iannario M, Bȩdowska-Sójka B, Skaftadóttir HK, Yildirim O, Shala A, Pisoni G, Coita IF, Korba S, Hafner CM, Schwendner P, Molnár B, Xhumari E.   +30 more
europepmc   +1 more source

Bridging Theory and Prediction: A Hybrid SEM and Machine Learning Approach to Optimize Lean Construction for Megaproject Sustainability in China

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Construction megaprojects, large‐scale, complex, and capital‐intensive, are particularly prone to inefficiencies, cost overruns, delays, and environmental degradation due to fragmented workflows, stakeholder misalignment, and resource intensity.
Abdelazim Ibrahim, Tarek Zayed, Zoubeir Lafhaj, Ahmed Maged, Ahmed Farouk Kineber, Jingchao Yang   +5 more
wiley   +1 more source