员工敬业度
利克特量表
知识管理
生产力
跨国公司
比例(比率)
工作满意度
数据收集
人才管理
业务
心理学
营销
计算机科学
公共关系
社会学
政治学
社会心理学
发展心理学
社会科学
物理
财务
量子力学
经济
宏观经济学
作者
KDV Prasad,Rajesh Vaidya,Ridhi Rani
出处
期刊:Humanities and social sciences letters
[Conscientia Beam]
日期:2023-05-31
卷期号:11 (2): 228-237
标识
DOI:10.18488/73.v11i2.3388
摘要
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.
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