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Telework Perceptions and Factors: What to Expect After the Covid-19
Lecture Notes in Networks and Systems ; 562 LNNS:509-524, 2023.
Article in English | Scopus | ID: covidwho-2240004
ABSTRACT
This chapter analyses factors and perceptions of telework, a term used for all practices of remote work, distant working, telecommuting and working from home. Our focus is on the influence of ownership, industry and support given by the organisation to the employee. Data for this study was gathered during the year of 2021st. We have analysed data from 166 employees after roughly 15% of responses were eliminated by the control question. More than 50% of participants were mostly teleworking, around 25% mainly were working from the office, and the rest had a relatively equal combination of those two work approaches. We have found the difference between state-owned and privately-owned organisations in the perception of "telework benefits” and between different industries for the perception of "telework problems”, and both variables show different perceptions in groups with different educational support. We propose a model of the telework aversion with the factors of leaving home preference, telework anxiousness, and provided education and support by the organisation for the telework. The main limitation of our research comes from the sample size and structure. While all the model's factors are significant, our model's predictive power is very low, which calls for future research. Expanding regional scope and analysis on larger sample sizes can provide comparison and a basis for more advanced models predicting telework aversion. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: Lecture Notes in Networks and Systems Year: 2023 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: Lecture Notes in Networks and Systems Year: 2023 Document Type: Article