A critical investigation analysing the key determinants of artificial intelligence in enhancing employee engagement in multinational companies

Prasad Kdv (), Rajesh Vaidya () and Ridhi Rani ()

Humanities and Social Sciences Letters, 2023, vol. 11, issue 2, 228-237

Abstract: The objective of the study is to determine whether artificial intelligence (AI) tools, software, and technology can assist management in identifying intangibles such as the employee engagement level and offer hints as to what factors influence it and how management can work to enhance it. A descriptive study was carried out to better understand the research topic. A structured survey questionnaire was employed to collect the data, in which the closed-ended questions used a Likert-type scale. The questionnaire measured AI’s effects on productivity, organisational effectiveness, employee satisfaction, and employee engagement. The survey was published on Google Forms, and a link was provided to the respondents. The data were analysed using the Statistical Package for Social Sciences version 28. Statistically significant results were obtained on the association between AI and the determinants of organisational effectiveness, increased productivity, employee satisfaction, and employee engagement. AI thus influences the study variables, and the results are statistically significant. The employees of an organisation will adopt and use new technologies if the technology is easy to use and adopt and beneficial to them. The management of organisations can source technologies like AI and other tools that are easy to use, and they can implement such technologies in a phased manner, educating employees on the advantages and benefits of the technology to maximise employee engagement.

Keywords: Artificial intelligence; Correlation analysis; Cronbach’s alpha; Employee engagement; Employee productivity. (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
https://archive.conscientiabeam.com/index.php/73/article/view/3388/7578 (application/pdf)
https://archive.conscientiabeam.com/index.php/73/article/view/3388/7749 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pkp:hassle:v:11:y:2023:i:2:p:228-237:id:3388

Access Statistics for this article

More articles in Humanities and Social Sciences Letters from Conscientia Beam
Bibliographic data for series maintained by Dim Michael ().