Results 221 to 230 of about 106,078 (310)

Speaking About Artificial Intelligence for Sustainability—How Employees’ Perception of Credibility Shapes Their Initial Attitudes Toward AI Adoption

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Companies increasingly claim to adopt artificial intelligence (AI) not only for economic but also for ecological and social purposes. However, in light of rising greenwashing, bluewashing, and ethics washing, the impact of the communicated rationale on employees' initial attitude toward AI introduction remains unclear.
Marco Baumgartner   +3 more
wiley   +1 more source

Linking Green Transformational Leadership to Employee Voice: A Serial Mediation Model in Sustainable Tourism

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study examines the effect of green transformational leadership (GTL) on green employee voice (GEV) in the tourism sector. In addition, drawing on Social Learning Theory, it determines how leaders influence employees' proactive environmental behaviors and identifies the mediating roles of green psychological climate (GPC) and green work ...
Evrim Tartan Selçuk, Gökhan Kerse
wiley   +1 more source

The Role of Humble Leadership in Corporate Social Responsibility and Sustainable Human Resource Management

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study examines the relationship between humble leadership and employee deviance in uncertain organizational environments, with a focus on the moderating role of employee mindfulness and the mediating role of basic psychological needs, as framed by self‐determination theory (SDT).
Ma Zixian   +5 more
wiley   +1 more source

Advances in vital‐sign prediction and early‐warning models for underground coal mine workers integrating environmental factors

open access: yesDeep Underground Science and Engineering, EarlyView.
This review synthesizes advances in predicting miners' vital signs by integrating environmental monitoring (dust, temperature, and gas) with physiological data. It highlights multi‐source data fusion techniques and early‐warning models for enhanced occupational safety in underground coal mines.
Junji Zhu   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy