Economic Impact of Remote Work

Location

A150

Document Type

Presentation

Type

Information Motivating Public Activism (IMPACT)

UN Sustainable Development Goal

UNSDG #8: Decent Work and Economic Growth

Start Date

24-4-2024 10:05 AM

End Date

24-4-2024 10:20 AM

Abstract

As remote work becomes more common this research aims to explore what professions benefit most from remote work. This directly applies to UNSDG 8.2 to achieve higher levels of economic productivity. To do this we will utilize data collection and surveys to gather both quantitative and qualitative data. Data collection involves gathering data on remote work trends and workplace efficiency. Surveys and interviews are utilized to gather insights regarding workers experiences and preferences for future work arrangements. Additionally, data on productivity metrics, employee satisfaction levels, and collaboration effectiveness was collected before, during, and after the transition to remote work during the pandemic. Statistical analysis techniques are employed to compare productivity levels, employee engagement, and job satisfaction across remote, hybrid, and in-person work environments. Profession-specific data is analyzed to determine which professions are best suited for remote work considering factors such as the nature of the work, the need for collaboration, and the availability of remote-friendly tools and technologies.

Share

COinS
 
Apr 24th, 10:05 AM Apr 24th, 10:20 AM

Economic Impact of Remote Work

A150

As remote work becomes more common this research aims to explore what professions benefit most from remote work. This directly applies to UNSDG 8.2 to achieve higher levels of economic productivity. To do this we will utilize data collection and surveys to gather both quantitative and qualitative data. Data collection involves gathering data on remote work trends and workplace efficiency. Surveys and interviews are utilized to gather insights regarding workers experiences and preferences for future work arrangements. Additionally, data on productivity metrics, employee satisfaction levels, and collaboration effectiveness was collected before, during, and after the transition to remote work during the pandemic. Statistical analysis techniques are employed to compare productivity levels, employee engagement, and job satisfaction across remote, hybrid, and in-person work environments. Profession-specific data is analyzed to determine which professions are best suited for remote work considering factors such as the nature of the work, the need for collaboration, and the availability of remote-friendly tools and technologies.