Results 151 to 160 of about 164,995 (278)

Investigating How Firms in Emerging Economies Integrate AI‐Driven Systems and ESG Metrics Into Biodiversity Conservation and Circular Economy Strategies

Business Strategy and the Environment, EarlyView.
ABSTRACT This study investigates how firms in emerging economies integrate artificial intelligence (AI) with environmental, social, and governance (ESG) practices to enhance biodiversity conservation and circular economy outcomes. It examines the mediating role of corporate social responsibility (CSR) governance and the moderating effect of ...
Suleman Bawa, Simplice A. Asongu
wiley   +1 more source

Do Governance Structures Drive Green Building Adoption? A Machine Learning Approach With Random Forests

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines the determinants of firms' propensity to adopt green buildings in the Euro Stoxx 300 and the S&P 500 indices, during 2012–2023. Using random forest binary classifiers, we assess the relative importance of financial, sectoral, geographic, and climate governance predictors and uncover nonlinear relationships often overlooked ...
María del Carmen Valls Martínez, José Manuel Santos‐Jaén, María Estefanía Sánchez Pacheco, Fernando José Zambrano Farías   +3 more
wiley   +1 more source

Various Errors Improve Neural Grammatical Error Correction

Various Errors Improve Neural Grammatical Error Correction
identifier:oai:t2r2.star.titech.ac.jp ...
openaire  

Grammatical Errors in Students’ Paragraph

, 2022
Dewa Putu Ramendra, Ida Bagus Putra Yasa, Gede Mahendrayana   +2 more
openaire   +1 more source

Shaping Energy Transitions: Sectoral Demand, Climate Risk Exposure, and Renewable Pathways in Sub‐Saharan Africa

Business Strategy and the Environment, EarlyView.
ABSTRACT Energy is a fundamental driver of economic growth, shaping productivity, industrialization, and long‐term economic resilience. In sub‐Saharan Africa (SSA), where energy access remains uneven and infrastructure is underdeveloped, understanding sector‐specific energy demand is essential for designing sustainable energy strategies.
Michael Appiah, Emmanuel Baffour Gyau, Genanew Bekele Worku, Simplice A. Asongu   +3 more
wiley   +1 more source

Grammar error diagnosis using graph convolutional networks with knowledge graph integration. [PDF]

Sci Rep
Zhang J, Ma Y.
europepmc   +1 more source

Intelligent Manufacturing, Industrial Agglomeration, and Green and Low‐Carbon Development: A Nonlinear Path Test Based on the Theory of Ecological Modernization

Business Strategy and the Environment, EarlyView.
ABSTRACT Drawing upon ecological modernization theory as the analytical framework, this study employs macro‐level longitudinal tracking data covering China's major regions as research samples. It measures the green and low‐carbon development (GLCD) of manufacturing from the four dimensions—“carbon reduction, pollution mitigation, ecological expansion ...
Deng Wang, Xin Hua, Chante Jian Ding, Abdullahi D. Ahmed, Yue Liu   +4 more
wiley   +1 more source

Revisiting Meta-evaluation for Grammatical Error Correction

Transactions of the Association for Computational Linguistics
Masamune Kobayashi, Masato Mita, Mamoru Komachi   +2 more
doaj   +1 more source

Lost in translation: Decoding the errors in consecutive interpreting by Chinese EFL learners. [PDF]

PLoS One
Zhuang Y, Chen L.
europepmc   +1 more source

The Contingent Eco‐Innovation–Firm Performance Link: A Global Systematic Literature Review and Future Research Agenda

Business Strategy and the Environment, EarlyView.
ABSTRACT The relationship between eco‐innovation (EI) and firm performance (FP) is central to environmental management research, yet empirical evidence remains fragmented and highly context dependent. This article presents a global systematic literature review (SLR) of 541 empirical studies (2006–April 2025) to (i) diagnose the systematic sources of ...
Ali Mammadov
wiley   +1 more source