International Research Journal of Business Studies (E-Journal)
Vol 13, No 2 (2020): August-November 2020

Artificial Intelligence for a Better Employee Engagement

Sari, Ria Emilia (Magister Manajemen BINUS Business School, Universitas Bina Nusantara, Jl. Hang Lekir I No. 6, Senayan, Kebayoran Baru, Jakarta Selatan, DKI Jakarta)
Min, Siu (Magister Manajemen BINUS Business School, Universitas Bina Nusantara, Jl. Hang Lekir I No. 6, Senayan, Kebayoran Baru, Jakarta Selatan, DKI Jakarta)
Purwoko, Hiskia (Magister Manajemen BINUS Business School, Universitas Bina Nusantara, Jl. Hang Lekir I No. 6, Senayan, Kebayoran Baru, Jakarta Selatan, DKI Jakarta)
Furinto, Asnan (Magister Manajemen BINUS Business School, Universitas Bina Nusantara, Jl. Hang Lekir I No. 6, Senayan, Kebayoran Baru, Jakarta Selatan, DKI Jakarta)
Tamara, Dewi (Magister Manajemen BINUS Business School, Universitas Bina Nusantara, Jl. Hang Lekir I No. 6, Senayan, Kebayoran Baru, Jakarta Selatan, DKI Jakarta)



Article Info

Publish Date
23 Dec 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 andafter 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 AI based 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 experienceKeywords: engagement, employee engagement, work engagement, technology, technology enabler, artificial intelligence, software, application.* Magister Manajemen BINUS Business School, Universitas Bina Nusantara, Jl. Hang Lekir I No. 6, Senayan, Kebayoran Baru, Jakarta Selatan, DKI Jakarta. https://doi.org/10.21632/irjbs.13.2.173-188

Copyrights © 2020






Journal Info

Abbrev

jurnalirjbs

Publisher

Subject

Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

Description

International Research Journal of Business Studies (IRJBS), with registered number ISSN 2089-6271 (Print) and ISSN 2338-4565 (Online), is an open access and peer-reviewed scientific journal published by Prasetiya Mulya Publishing, Universitas Prasetiya Mulya. IRJBS published three times a year ...