Building a Sustainable Development Education System for Large Organizations Based on Artificial Intelligence of Things DOI Open Access
Hsin‐Te Wu, Jianping Li, Mu‐Yen Chen

и другие.

Journal of Organizational and End User Computing, Год журнала: 2024, Номер 36(1), С. 1 - 19

Опубликована: Ноя. 29, 2024

This paper proposes building a sustainable development computing system for large organizations based on AI and IoT. The leverages to calculate the carbon emissions caused by organizations' activities utilizes IoT devices monitor compute environmental coefficients. also employs automated achieve net-zero emissions. By integrating weather forecast information from meteorological agencies understand external conditions, consulting knowledge database devise appropriate response strategies, can activate relevant equipment improve both organization's living environment emission processes. feasibility practical application of this will be demonstrated through actual simulations enhance its viability effectiveness.

Язык: Английский

Exploring Environmental, Social, and Governance Factors Affecting Supply Chain Resilience: From Employees’ Perspectives DOI Open Access
Lingyu Zheng, Han Chen,

Wenjia Zheng

и другие.

Sustainability, Год журнала: 2024, Номер 16(24), С. 11012 - 11012

Опубликована: Дек. 16, 2024

In the domain of supply chain resilience (SCR), research has disproportionately emphasized environmental dimensions environmental, social, and governance (ESG) factors, leading to an oversight regarding roles played by social factors. To address this gap, a questionnaire survey was conducted among 313 employees from five Chinese enterprises. Through factor analysis, study identified four latent variables associated with three A structural equation model then developed present comprehensive analysis impacts ESG digital intelligence on SCR, while also examining interplay these The findings reveal that factors positively influence whereas exert negative impact. This further observes enhances but does not directly SCR. These results underscore intricate dynamics between indicators, intelligence, highlighting imperative for entities make balanced decisions. offers novel insights into effects employees’ viewpoint, providing implications recommendations management.

Язык: Английский

Процитировано

0

Building a Sustainable Development Education System for Large Organizations Based on Artificial Intelligence of Things DOI Open Access
Hsin‐Te Wu, Jianping Li, Mu‐Yen Chen

и другие.

Journal of Organizational and End User Computing, Год журнала: 2024, Номер 36(1), С. 1 - 19

Опубликована: Ноя. 29, 2024

This paper proposes building a sustainable development computing system for large organizations based on AI and IoT. The leverages to calculate the carbon emissions caused by organizations' activities utilizes IoT devices monitor compute environmental coefficients. also employs automated achieve net-zero emissions. By integrating weather forecast information from meteorological agencies understand external conditions, consulting knowledge database devise appropriate response strategies, can activate relevant equipment improve both organization's living environment emission processes. feasibility practical application of this will be demonstrated through actual simulations enhance its viability effectiveness.

Язык: Английский

Процитировано

0