Understanding Remote Work Experience: Insights Into Well-Being
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| Název: | Understanding Remote Work Experience: Insights Into Well-Being |
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| Autoři: | Vizcaíno, Aurora, Suárez, Julio, Šmite, Darja, García, Félix O. |
| Zdroj: | Journal of Software. 37(1) |
| Témata: | motivation, performance, PLS-SEM, remote work, stress, well-being, Partial least square-structural equation modeling, Partial least-squares, Prior experience, Software Evolution, Software process, Structural equation models, Well being, Work experience, Software design |
| Popis: | Background: After the pandemic, software engineers were forced to work remotely, in many cases without prior experience of doing so.Objective: The objective of this work is to analyze the factors that influence engineers' motivation, stress and performance when working remotely after the pandemic, and to what level.Methods: A significant number (around 1000) of Latin-American software development professionals from different countries who work remotely were surveyed in order to study the factors that affect them and how when they work in this manner. The data collected from the survey were then statistically analyzed using the partial least square-structural equation modeling (PLS-SEM) method.Conclusions: The analysis of the data made it possible to conclude that there are direct negative effects of stress on performance and direct positive effects of motivation on performance. In addition, we found that skills, experience, and teamwork behavior, such as trust, communication, and knowledge sharing, play an important role when working remotely. |
| Popis souboru: | electronic |
| Přístupová URL adresa: | https://urn.kb.se/resolve?urn=urn:nbn:se:bth-27415 https://doi.org/10.1002/smr.2757 |
| Databáze: | SwePub |
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Nájsť tento článok vo Web of Science | Abstrakt: | Background: After the pandemic, software engineers were forced to work remotely, in many cases without prior experience of doing so.Objective: The objective of this work is to analyze the factors that influence engineers' motivation, stress and performance when working remotely after the pandemic, and to what level.Methods: A significant number (around 1000) of Latin-American software development professionals from different countries who work remotely were surveyed in order to study the factors that affect them and how when they work in this manner. The data collected from the survey were then statistically analyzed using the partial least square-structural equation modeling (PLS-SEM) method.Conclusions: The analysis of the data made it possible to conclude that there are direct negative effects of stress on performance and direct positive effects of motivation on performance. In addition, we found that skills, experience, and teamwork behavior, such as trust, communication, and knowledge sharing, play an important role when working remotely. |
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| ISSN: | 20477473 20477481 |
| DOI: | 10.1002/smr.2757 |