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Can Predictive Analytics enable greater Employee Engagement? And in doing so, Empower the HR Function to be recognised more as a Strategic Partner, than an administrative function?

Mycroft, Christina (2018) Can Predictive Analytics enable greater Employee Engagement? And in doing so, Empower the HR Function to be recognised more as a Strategic Partner, than an administrative function? Masters thesis, Dublin, National College of Ireland.

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Abstract

This research is an attempt to investigate whether predictive analytics, can enable increased employee engagement. This study looks at a number of sub-objectives; exploring the idea of using trigger points of disengagement to detect potential retention issues in key staff. It also looks at whether using this type of analysis could enable the creation of a more strategic HR workforce. A survey was used as part of a quantitative approach to gather as much data as possible, in order to gain a deeper understanding of the topic while ensuring the anonymity of the participants involved. Furthermore, the data was uploaded into SPSS to identify key results worthy of further analysis. The participants chosen for the study were the populations of four separate organisations covering the Financial, Healthcare, Transport and Fintech sectors. Four organisations were selected to ensure more than one viewpoint or culture was obtained. The author was able to collect one hundred and eighty-four responses to the survey. Following the investigation, it emerged that predictive analytics could be used to identify trigger points of disengagement, but further analysis is required. As part of the investigation there were certain aspects the researcher expected to see, however this analysis has also allowed for greater insight into the chosen topic.

Item Type: Thesis (Masters)
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management > Human Resource Management > Performance Management > Employee Engagement
H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management > Human Resource Management
Divisions: School of Business > Master of Arts in Human Resource Management
Depositing User: CAOIMHE NI MHAICIN
Date Deposited: 24 Oct 2018 09:26
Last Modified: 24 Oct 2018 09:26
URI: http://trap.ncirl.ie/id/eprint/3305

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