Imperative Role of AI in Employee Engagement : The Lens of Job Charactersitics Model

员工敬业度 旷工 工作满意度 探索者 有可能 工作设计 工作表现 心理学 人事心理学 工作投入 应用心理学 知识管理 工作态度 计算机科学 工作(物理) 社会心理学 公共关系 政治学 工程类 机械工程 法学 心理治疗师
作者
Bipin Kandpal,Deepti Sharma,Samta Kathuria,Shaik Vaseem Akram
标识
DOI:10.1109/icpcsn58827.2023.00088
摘要

This paper is an attempt to steer the attention of AI seekers towards effective employee engagement. Perhaps this is the first attempt to redirect adoption of AI in the direction of improving job characteristics. The job characteristics model proposed by Oldhams in 1980 has proved to be effective for motivation of employees providing positive psychological states leading to positive outcomes like high motivation, high performance, low absenteeism, low turnover along with high job and work satisfaction. The previous research has established that good job characteristics are enablers of employee engagement. Further, the adoption of AI has also proved to be an enabler for employee engagement, yet with some resistance and limitations. Referring to limited amount of literature on given topic it has been established that AI should not be seen merely as a tool for replacement of the job, rather it should be included in job design to improve job characteristics to enhance employee engagement. Although most of the application of AI has been focused on monitoring real time data to monitor the employee engagement rather than including the technology to improve job characteristics. Therefore, the AI should be included in making jobs interesting to facilitate employee engagement.
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