Davitt, Ross (2021) Finding the Best Practice Approach to Leading and Managing the Performance of Remote Working Recruitment Consultants. Masters thesis, Dublin, National College of Ireland.
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Abstract
Background
Those working in recruitment and sales have witnessed a particularly unprecedented rate of change since the onset of the pandemic. The purpose of this research dissertation is to investigate remote working in the recruitment industry, and through qualitative research, identify how management can adapt and find the best practice approach to leading and managing the performance of remote working recruitment consultants (RCs).
Research Question & Objectives
What is the best practice approach to leading and managing the performance of remote working recruitment consultants?
This is done through investigating the following research objectives:
• To identify the new main challenges that management have, and how best to overcome these new challenges.
• To investigate and critique the strategies currently in place intended to manage and improve remote teams’ performance.
• To ascertain the most and least effective leadership style(s) and identify the most important leadership traits.
• To investigate KPI’s in the recruitment industry and how they can be used most effectively.
Findings
Three significant findings from this study include:
For a leader to succeed in the recruitment sector they must be a proven high performer and successful RC in their own right. Therefore, someone entering from another industry would struggle to lead effectively.
The absence of a clearly defined communication plan greatly exacerbates the negative effects of remote working in the recruitment sector, such as lack of culture, engagement, collaboration, and high turnover.
A hybrid approach of two-to-three-days remote working a week, yields the best results. Once this is exceeded the negative effects associated with remote working become more increasingly prevalent.
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 H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management > Human Resource Management > Recruitment |
Divisions: | School of Business > Master of Science in Management |
Depositing User: | Clara Chan |
Date Deposited: | 11 Feb 2022 16:22 |
Last Modified: | 11 Feb 2022 16:22 |
URI: | https://norma.ncirl.ie/id/eprint/5422 |
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