Employees Engagement in Hybrid Work Model Within Organisation Using Recommendation System

Chikne, Vishal Vinod (2023) Employees Engagement in Hybrid Work Model Within Organisation Using Recommendation System. Masters thesis, Dublin, National College of Ireland.

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Abstract

The COVID19 has force a organisation change the shift pattern towards hybrid work where workers working from home and in office. In hybrid work environments to connecting employees and collaboration is new challenges for organisations. So this study addresses these challenge by introducing platform where employee can connect with each other within organisation based on shared interests. The motivation from recognition that share interest help to make good meaningful connections especially when the physical presence is limited. hybrid work of social networking and recommendation systems we aim to good constraints and cultivate interaction between employees.Our methodology systematically helping with data driven techniques such similarity calculations and correlation analysis to build personalised connections based on share interests to enhancing the collaboration and employees engagement in hybrid work environment. Results are indicating that promising impact with higher acceptance rates for recommended connections, engagement improvements and similarity score. The correlation matrix helps with relevance of connections with cross functional collaboration. The outcomes of research is hold significant of implications for the organizations that to create hybrid work environment. By understanding role of social interactions, technology and organisational values companies can implement a target measures to good employee engagement. This is in turn can lead to enhance the productivity, employee satisfaction and overall organisational success with growth in the evolving mode of hybrid work.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Tomer, Vikas UNSPECIFIED
Uncontrolled Keywords:	Hybrid work; social connections; recommeder system; employee interests; organisation values
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management > Business Communication > Internal Communication H Social Sciences > HD Industries. Land use. Labor > Issues of Labour and Work > Hours of Labour > Flexible work arrangements > Telecommuting
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Tamara Malone
Date Deposited:	08 Nov 2024 13:24
Last Modified:	08 Nov 2024 13:24
URI:	https://norma.ncirl.ie/id/eprint/7176

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