Environmental Impact Assessment Review, Journal Year: 2023, Volume and Issue: 105, P. 107406 - 107406
Published: Dec. 27, 2023
Language: Английский
Environmental Impact Assessment Review, Journal Year: 2023, Volume and Issue: 105, P. 107406 - 107406
Published: Dec. 27, 2023
Language: Английский
Journal of Knowledge Management, Journal Year: 2024, Volume and Issue: 28(8), P. 2433 - 2459
Published: May 2, 2024
Purpose Remote working has brought forward many challenges for employees as the phenomenon is still new most across globe. Some of these may be addressed by recent adoption digital technologies organizations. In this vein, our study explores impact platform capability on creativity through mediating mechanism explicit and tacit knowledge sharing. Design/methodology/approach The data were gathered from higher education institutes (HEIs) in a developing country, Pakistan which recently saw major disruption during Covid-19 pandemic. proposed hypotheses tested Structural Equational Modeling (SEM) results confirmed hypotheses. Findings findings that capabilities both sharing among remote employees. Likewise, also supported role workers. Originality/value Our are significant they confirm digitalization workers’ predisposition. We thus advance academic debate problems working. prove outweigh created due to forms work driven It further highlights important areas focus while planning human resource policies normal.
Language: Английский
Citations
5Heliyon, Journal Year: 2024, Volume and Issue: 10(17), P. e37001 - e37001
Published: Aug. 27, 2024
Language: Английский
Citations
5Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: unknown, P. 105936 - 105936
Published: Oct. 1, 2024
Language: Английский
Citations
5IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Journal Year: 2023, Volume and Issue: 16, P. 8087 - 8101
Published: Jan. 1, 2023
Global climate change is causing various negative impacts on urban ecosystems and energy systems. To effectively mitigate adapt to these changes, it important understand the contributions of background local effects thermal environment variation. This study utilized empirical orthogonal function (EOF) approach deconstruct long-term MODIS land surface temperature (LST) datasets obtain main features in daytime nighttime environments. Local bivariate spatial autocorrelation analysis was used explore underlying causes changes. The EOF modes explained 73.14% 81.33% variation, respectively. correlation coefficient between time average LST > 0.99, reflecting role global effect caused by change. secondary 12.51% 4.12% respectively, were spatially correlated with changes landscape intensity, anthropogenic heat emissions. In expansion renewal areas, industrial zones compact high-rise buildings had most obvious warming environment, while mid-to-high-rise environment. results this provide valuable insights into mechanisms a reference for formulating effective strategies mitigating adapting promoting sustainable development.
Language: Английский
Citations
12Environmental Impact Assessment Review, Journal Year: 2023, Volume and Issue: 105, P. 107406 - 107406
Published: Dec. 27, 2023
Language: Английский
Citations
12