Silva, Ivan (2022) Remote Working Models and their impact on employee performance levels. Masters thesis, Dublin, National College of Ireland.
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Abstract
Remote work models are here to stay as employees and businesses see tangible benefits in critical metrics, from better overall happiness to improved productivity and performance. However, much more must be done to fully embrace the possibilities of a remote working future, including creating an inclusive culture, developing employee retention strategies, and implementing technology infrastructure.
Given that work plays a central role in today's society, examining its evolution and the new relationships between workers and employers, characterised by both the introduction of new technologies and new challenges such as the COVID-19 pandemic, justifies examining the importance of these working models.
Thus, the dissertation aimed to investigate and understand what factors interfere with the performance process of employees working in the remote working model. The research also examined how performance is measured and how managers generate results. This will build the debate around performance in a remote working model context. In addition, the research investigated the competencies required for high performance in a remote working model, identifying the challenges and opportunities of remote working on employee performance.
A quantitative research approach was applied to this study with primary data gathered through an online questionnaire. Secondary research was also conducted to evaluate relevant academic sources in this space.
Item Type: | Thesis (Masters) |
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Subjects: | H Social Sciences > HM Sociology > Leadership H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management > Human Resource Management > Leadership H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management > Human Resource Management > Performance Management |
Divisions: | School of Business > Master of Arts in Human Resource Management |
Depositing User: | Clara Chan |
Date Deposited: | 21 Nov 2022 17:06 |
Last Modified: | 21 Nov 2022 17:06 |
URI: | https://norma.ncirl.ie/id/eprint/5916 |
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