The AI-environment paradox: Unraveling the impact of artificial intelligence (AI) adoption on pro-environmental behavior through work overload and self-efficacy in AI learning DOI
Byung‐Jik Kim,

Min‐Jik Kim

Journal of Environmental Management, Год журнала: 2025, Номер 380, С. 125102 - 125102

Опубликована: Март 24, 2025

Язык: Английский

The Dark Sides of Artificial Intelligence Implementation: Examining How Corporate Social Responsibility Buffers the Impact of Artificial Intelligence‐Induced Job Insecurity on Pro‐Environmental Behavior Through Meaningfulness of Work DOI Open Access
Byung‐Jik Kim, Julak Lee

Sustainable Development, Год журнала: 2025, Номер unknown

Опубликована: Фев. 4, 2025

ABSTRACT This study investigates the complex relationships between artificial intelligence (AI)‐induced job insecurity, meaningfulness of work (MOW), pro‐environmental behavior at (PEBW), and corporate social responsibility (CSR) in South Korean organizations. As AI technologies increasingly permeate workplace, understanding their impact on employee attitudes behaviors becomes crucial for organizational sustainability efforts. Drawing several theories, we propose test a moderated mediation model using three‐wave time‐lagged design with 392 employees from various corporations. Our findings reveal that AI‐induced insecurity negatively influences PEBW through mediating role MOW. Contrary to initial expectations, no direct relationship was found PEBW. Instead, decreases employees' MOW, which turn reduces engagement Furthermore, CSR moderates insecurity‐MOW link, such strong buffers negative influence insecurity. These results may contribute literature behavior, environmental sustainability, technological change by elucidating psychological mechanisms linking emphasizes MOW this relationship. Also, it demonstrates how can function as strategic tool weaken potential impacts implementation behaviors. The offer meaningful implications managers policymakers navigating challenges integration while promoting work. By maintaining leveraging initiatives, organizations be better equipped foster face changes.

Язык: Английский

Процитировано

1

The AI-environment paradox: Unraveling the impact of artificial intelligence (AI) adoption on pro-environmental behavior through work overload and self-efficacy in AI learning DOI
Byung‐Jik Kim,

Min‐Jik Kim

Journal of Environmental Management, Год журнала: 2025, Номер 380, С. 125102 - 125102

Опубликована: Март 24, 2025

Язык: Английский

Процитировано

0