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Artificial Intelligence for a Better Employee Engagement

Ria Emilia Sari, Siu Min, Hiskia Purwoko, Asnan Furinto, Dewi Tamara

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 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 experience

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References


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