Results 171 to 180 of about 6,043,564 (322)
Correction: Disentangling semantic and response learning effects in color-word contingency learning. [PDF]
Geukes S, Vorberg D, Zwitserlood P.
europepmc +1 more source
ABSTRACT The apparel industry is one of the world's most profitable sectors but also among the most environmentally damaging. Growing sustainability pressures have led companies to adopt diverse strategies to reduce their impact, yet no single study has systematically analysed these approaches or their consumer implications.
Maria Leonor Ferreira +1 more
wiley +1 more source
Relative speed of processing determines color–word contingency learning
Noah D. Forrin, Colin M. Macleod
semanticscholar +1 more source
ABSTRACT The blue economy has emerged as a key sector for linking sustainability and innovation, yet existing research has largely overlooked how firms operationalize these processes in practice. This study addresses that gap by asking: How do Portuguese blue economy firms embed sustainability‐oriented innovation (SOI) into their strategies, and what ...
Jennifer Nicole Elston +2 more
wiley +1 more source
Underlying Sources of Response-Response Contingency Learning. [PDF]
Rothermund K +3 more
europepmc +1 more source
Corporate Management of Environmental, Social, and Governance Ratings and Rating Divergence
ABSTRACT As environmental, social, and governance (ESG) ratings increasingly influence investment and corporate decision‐making, companies face growing pressure to manage their ESG performance strategically. This study examines how firms navigate the fragmented ESG rating landscape marked by significant agency divergence. Based on a multiple‐case study
Selina Hauch
wiley +1 more source
Editorial: Is Conflict Adaptation an Illusion?
James R Schmidt +2 more
doaj +1 more source
Expanding contingency learning models of aggression in youth: Conceptual and methodological considerations to enhance clinical utility. [PDF]
Byrd AL +5 more
europepmc +1 more source
Artificial Intelligence and Environmental, Social, and Governance: A Hybrid Bibliometric Approach
ABSTRACT This study provides a comprehensive overview of research on artificial intelligence (AI) and Environmental, Social, and Governance (ESG) by creating a knowledge map of the field. Using a systematic–bibliometric approach, we quantitatively analyzed a total of 129 documents, which collectively were cited 4276 times (2017–2024).
Qiang (John) Wu +3 more
wiley +1 more source

