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Artificial Intelligence for a Better Employee Engagement

Authors :
Ria Emilia Sari
Siu Min
Hiskia Purwoko
Asnan Furinto
Dewi Tamara
Source :
International Research Journal of Business Studies, Vol 13, Iss 2, Pp 173-188 (2020)
Publication Year :
2020
Publisher :
Prasetiya Mulya Publishing, 2020.

Abstract

Employee engagement is the positive attitude of each employee towards the business and the value of the organization. This research aims to see whether the use of AI-based technology, tools, and software can help management detect intangible things such as employee engagement level and provide clues as to what factors influence it and how management can improve it. This research is a qualitative approach. We interviewed the management and selected employees to determine employee engagement at SML before and after implementing the AI-based application. The interview results compared with the results obtained from the application for six months (Feb - July 2020). The study was conducted on all SML employees, amounting to 39 people. This research has shown that the use of AIbased software can significantly help management, not only to find out the status of each employee’s level of involvement but also to anticipate their attitudes and behaviors through predictive indicators. Thus, the company can proactively retain key employees. This research provides new and practical insights and opportunities for company owners and leaders to utilize technology to detect something that is naturally quite difficult because it requires specific knowledge and experience.

Details

Language :
English
ISSN :
20896271 and 23384565
Volume :
13
Issue :
2
Database :
Directory of Open Access Journals
Journal :
International Research Journal of Business Studies
Publication Type :
Academic Journal
Accession number :
edsdoj.f285eaa5b6a141658bdf8397f4d80105
Document Type :
article
Full Text :
https://doi.org/10.21632/irjbs.13.2.173-188