The Advantages of Using Prescriptive Analytics in Recruitment and Performance Management processes by HR professionals based in Ireland

Samtani, Dimple Dilip (2022) The Advantages of Using Prescriptive Analytics in Recruitment and Performance Management processes by HR professionals based in Ireland. Masters thesis, Dublin, National College of Ireland.

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Abstract

As scholars and professionals try to comprehend how data may be translated into useful insights that improve organisational performance, they have become more interested in the idea of advanced analytics and how they are applied in management. Because of this, this interest has expanded beyond human resources management (HRM), as indicated by the rising number of HR departments using HR analytics to enhance decision-making. This research paper demonstrates how prescriptive analytics may aid HR pioneers specifically in Ireland in analysing the patterns and processes for recruitment adequacy and performance management, considered to be imposed under holistic concepts of HR service’s impact on the working culture. It also shows how prescriptive analytics may be used to address some of the most pressing HR issues associated with the profound recruitment and performance management challenges.

This research has utilised an application of qualitative semi-structured interviews that is valid in the current research as it is based on analysing the effectiveness of prescriptive analytics in HR. In-depth semi-structured interviews based on personal experiences can be used to examine the efficacy of prescriptive analytics. Since the current study is exploratory in character, semi-structured interviews with ten HR experts are employed. The results of the interviews revealed that most of the interview participants showed a great interest in HR Analytics. This is due to the great significance of HR Analytics in human resource management activities. Most of the HR-based participants in the project revealed that the use of prescriptive analytics is not itself challenging as it includes the past records of the employees and their performance, the criticality lies with the presence of sorted and defined data. The study's findings suggest that businesses should use the organisational data produced by HR analytics and factor it into their decision-making.

Item Type:	Thesis (Masters)
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management > Human Resource Management D History General and Old World > DA Great Britain > Ireland 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 Arts in Human Resource Management
Depositing User:	Clara Chan
Date Deposited:	21 Nov 2022 15:32
Last Modified:	21 Nov 2022 15:32
URI:	https://norma.ncirl.ie/id/eprint/5911

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