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Working in a smart home-office: exploring the impacts on productivity and wellbeing

Rana, Omer, Ranjan, Rajiv, Papagiannidis, Savvas and Marikyan, Davit 2021. Working in a smart home-office: exploring the impacts on productivity and wellbeing. Presented at: 17th International Conference on Web Information Systems and Technologies - WEBIST, Valletta, Malta, 26 - 28 October, 2021. Proceedings of the 17th International Conference on Web Information Systems and Technologies - WEBIST. SciTePress, Science and Technology Publications, 10.5220/0010652200003058

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Abstract

Following the outbreak of the Coronavirus (COVID-19) pandemic, many organisations have shifted to remote working overnight. The new reality has created conditions to use smart home technologies for work purposes, for which they were not originally intended. The lack of insights into the new application of smart home technologies has led to two research objectives. First, the paper aimed to investigate the factors correlating with productivity and perceived wellbeing. Second, the study tried to explore individuals’ intentions to use smart home offices for remote work in the future. 528 responses were gathered from individuals who had smart homes and had worked from home during the pandemic. The results showed that productivity positively relates to service relevance, perceived usefulness, perceived ease of use, hedonic beliefs, control over environmental conditions, innovativeness and attitude. Task-technology fit, service relevance, attitude to smart homes, innovativeness, hedonic be liefs, perceived usefulness, perceived ease of use and control over environmental conditions correlate with perceived wellbeing. The intention to work from smart home-offices in the future is determined by perceived wellbeing. Findings contribute to the research on smart homes and remote work practices, by providing the first empirical evidence about the new applications and outcomes of smart home use in the work context.

Item Type: Conference or Workshop Item (Paper)
Status: Published
Schools: Computer Science & Informatics
Publisher: SciTePress, Science and Technology Publications
ISBN: 978-989-758-536-4
Funders: EPSRC
Date of First Compliant Deposit: 19 November 2021
Date of Acceptance: 22 September 2021
Last Modified: 24 Nov 2021 15:15
URI: http://orca.cardiff.ac.uk/id/eprint/145624

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