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Dataset results
8 results for “remote work”
Cloud computing is one of the most popular and sophisticated technologies adopted by organizations worldwide. Some world-leading organizations enhance their efficiency and effectiveness by using cloud computing technology. Working from home (WFH) has been a popular trend among organizations during the coronavirus (COVID-19) pandemic. The COVID-19 saw a breakthrough in work cultures and environments where working from home was a remarkable success in remote working environments, despite being a rare phenomenon in Sri Lanka. Yet, it is argued that the deployment of work from home has not been effective among Sri Lankan business organizations due to a lack of IT infrastructure, facilities, and knowledge. The purpose of the study is to investigate the impact of cloud computing, embracing the service models (Infrastructure as a Service, Platform as a Service, and Software as a Service) as theoretical lenses and testing the COVID-19 as the moderator. The study has been conducted based on a deductive approach and adopted a stratified random sampling method. The sample consisted of 384 IT employees among those who had experienced working from home. The study utilized multiple regression and found that cloud computing service models significantly impact work from home with the moderating effect of COVID-19.
<p>Cloud computing is one of the most popular and sophisticated technologies adopted by organizations worldwide. Some world-leading organizations enhance their efficiency and effectiveness by using cloud computing technology. Working from home (WFH) has been a popular trend among organizations during the coronavirus (COVID-19) pandemic. The COVID-19 saw a breakthrough in work cultures and environments where working from home was a remarkable success in remote working environments, despite being a rare phenomenon in Sri Lanka. Yet, it is argued that the deployment of work from home has not been effective among Sri Lankan business organizations due to a lack of IT infrastructure, facilities, and knowledge. The purpose of the study is to investigate the impact of cloud computing, embracing the service models (Infrastructure as a Service, Platform as a Service, and Software as a Service) as theoretical lenses and testing the COVID-19 as the moderator. The study has been conducted based on a deductive approach and adopted a stratified random sampling method. The sample consisted of 384 IT employees among those who had experienced working from home. The study utilized multiple regression and found that cloud computing service models significantly impact work from home with the moderating effect of COVID-19.</p>
WFO to Remote Work (Indonesia)
<p>This is a data set that contains the impact of WFO (Work From Office), WFA (Work From Anywhere), and WFH (Work From Home). Other data are used to support companies that want to transition from working in the office to remote work.</p>
Remote Training in Evidence-based Practices for Clinicians Who Work With Migrant Workers
ClinicalTrials.gov study NCT03515226. IPD Sharing: YES. Countries: 1. Publications: 1.
Software Engineers Engagement and Job Satisfaction: A Survey with Practitioners Working Remotely in a Public Organization - Supplementary material
Open the record for dataset details and reuse information.
Cognitive Performance in Remote Work - Evidence from Professional Chess
<p>Replication package for article "Cognitive Performance in Remote Work - Evidence from Professional Chess" in Economic Journal. Last Working paper version: <a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3937878">https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3937878</a>. </p>
Data from: Remote work and remotization of infrastructure case study.
<p>This document includes a data set from a survey of research fields, groups, and situations where remote work is already practised which is used for Remote work and remotization of infrastructure case study.</p> <p> </p>
Efficacy of a Remotely Administered Functional Capacity Test on Return-to-work Outcomes
ClinicalTrials.gov study NCT05370872. IPD Sharing: NO. Countries: 1. Publications: 1.
Investigation of Spinal Health and Internet Addiction of Individuals Working Remotely
ClinicalTrials.gov study NCT05098626. IPD Sharing: NO. Countries: 0. Publications: 0.
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International Brain Laboratory public data
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OpenNeuro
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