Artificial Intelligence for a Better Employee Engagement
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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Prasetiya Mulya Publishing
2020-08-01
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| Series: | International Research Journal of Business Studies |
| Subjects: | |
| Online Access: | http://irjbs.com/index.php/jurnalirjbs/article/view/2101 |
| _version_ | 1818607876906680320 |
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| author | Ria Emilia Sari Siu Min Hiskia Purwoko Asnan Furinto Dewi Tamara |
| author_facet | Ria Emilia Sari Siu Min Hiskia Purwoko Asnan Furinto Dewi Tamara |
| author_sort | Ria Emilia Sari |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-16T14:33:43Z |
| format | Article |
| id | doaj.art-f285eaa5b6a141658bdf8397f4d80105 |
| institution | Directory Open Access Journal |
| issn | 2089-6271 2338-4565 |
| language | English |
| last_indexed | 2024-12-16T14:33:43Z |
| publishDate | 2020-08-01 |
| publisher | Prasetiya Mulya Publishing |
| record_format | Article |
| series | International Research Journal of Business Studies |
| spelling | doaj.art-f285eaa5b6a141658bdf8397f4d801052022-12-21T22:28:09ZengPrasetiya Mulya PublishingInternational Research Journal of Business Studies2089-62712338-45652020-08-0113217318810.21632/irjbs.13.2.173-188Artificial Intelligence for a Better Employee EngagementRia Emilia Sari0Siu Min1Hiskia Purwoko2Asnan Furinto3Dewi Tamara4Magister Manajemen BINUS Business School, Universitas Bina Nusantara, Jl. Hang Lekir I No. 6, Senayan, Kebayoran Baru, Jakarta Selatan, DKI Jakarta, IndonesiaMagister Manajemen BINUS Business School, Universitas Bina Nusantara, Jl. Hang Lekir I No. 6, Senayan, Kebayoran Baru, Jakarta Selatan, DKI Jakarta, IndonesiaMagister Manajemen BINUS Business School, Universitas Bina Nusantara, Jl. Hang Lekir I No. 6, Senayan, Kebayoran Baru, Jakarta Selatan, DKI Jakarta, IndonesiaMagister Manajemen BINUS Business School, Universitas Bina Nusantara, Jl. Hang Lekir I No. 6, Senayan, Kebayoran Baru, Jakarta Selatan, DKI Jakarta, IndonesiaMagister Manajemen BINUS Business School, Universitas Bina Nusantara, Jl. Hang Lekir I No. 6, Senayan, Kebayoran Baru, Jakarta Selatan, DKI Jakarta, IndonesiaEmployee 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.http://irjbs.com/index.php/jurnalirjbs/article/view/2101engagementemployee engagementwork engagementtechnologytechnology enablerartificial intelligencesoftwareapplication |
| spellingShingle | Ria Emilia Sari Siu Min Hiskia Purwoko Asnan Furinto Dewi Tamara Artificial Intelligence for a Better Employee Engagement International Research Journal of Business Studies engagement employee engagement work engagement technology technology enabler artificial intelligence software application |
| title | Artificial Intelligence for a Better Employee Engagement |
| title_full | Artificial Intelligence for a Better Employee Engagement |
| title_fullStr | Artificial Intelligence for a Better Employee Engagement |
| title_full_unstemmed | Artificial Intelligence for a Better Employee Engagement |
| title_short | Artificial Intelligence for a Better Employee Engagement |
| title_sort | artificial intelligence for a better employee engagement |
| topic | engagement employee engagement work engagement technology technology enabler artificial intelligence software application |
| url | http://irjbs.com/index.php/jurnalirjbs/article/view/2101 |
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