Environmental Impact Assessment Review, Год журнала: 2023, Номер 105, С. 107406 - 107406
Опубликована: Дек. 27, 2023
Язык: Английский
Environmental Impact Assessment Review, Год журнала: 2023, Номер 105, С. 107406 - 107406
Опубликована: Дек. 27, 2023
Язык: Английский
Journal of Knowledge Management, Год журнала: 2024, Номер 28(8), С. 2433 - 2459
Опубликована: Май 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.
Язык: Английский
Процитировано
5Heliyon, Год журнала: 2024, Номер 10(17), С. e37001 - e37001
Опубликована: Авг. 27, 2024
Язык: Английский
Процитировано
5Sustainable Cities and Society, Год журнала: 2024, Номер unknown, С. 105936 - 105936
Опубликована: Окт. 1, 2024
Язык: Английский
Процитировано
5IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Год журнала: 2023, Номер 16, С. 8087 - 8101
Опубликована: Янв. 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.
Язык: Английский
Процитировано
12Environmental Impact Assessment Review, Год журнала: 2023, Номер 105, С. 107406 - 107406
Опубликована: Дек. 27, 2023
Язык: Английский
Процитировано
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