人工智能:印度企业员工敬业度的未来之路

IF 2.1 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE
M. Saxena, Dharmesh K. Mishra
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引用次数: 0

摘要

员工敬业度(EE)不仅对个人和他/她的团队产生多种积极影响,而且对企业的组织和财务结果也有积极影响。如果人工智能(AI)可以作为促进电子商务的工具,组织将非常满意地采用它。本文旨在研究AI对EE在印度企业中的渗透。设计/方法/方法基于二手研究收集的信息,我们构建了一个问题框架,并将其发送给人工智能和人力资源领域的一些高级人员,以检查其完整性。根据纳入标准,通过随机有目的抽样选择受访者作为研究的一部分。共有23名受访者参与了这项研究。使用定性数据分析软件MAXQDA 2022 (Verbi Software, Berlin, Germany)对转录本进行定性数据分析。进行了多次阅读,以确定数据中的模式和关系。研究结果:参与者描述了在使用或计划使用人工智能进行情感表达时遇到的各种问题。提到的一些问题与成本、挑战、心态和态度、员工的人口统计、对技术使用的舒适度、组织的规模、变革管理策略、软件供应商和供应商支持有关。最常见的回答分为组织、流程、员工和软件选择相关方面。最近,整体的工作环境、工作和个人生活的平衡以及生活质量已经变得比挣一份好工资更令人向往。人工智能正在成为商业各个方面的一部分,但它在人力资源方面的作用还有待探索。人工智能的预测能力可能会提高员工的工作满意度。本文探讨了在员工生命周期的各个方面使用人工智能作为工具的可能性,从而试图使人力资源流程更具生产力并增强EE。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial intelligence: the way ahead for employee engagement in corporate India
Purpose Employee engagement (EE) can result in multiple positive impacts not only on the individual and his/her team but also on the organisational and financial outcome of the business. If artificial intelligence (AI) can be used as a tool to facilitate EE, organisations will be more than satisfied to adopt it. The paper aims to study the penetration of AI for EE in corporate India. Design/methodology/approach Based on the information gathered through secondary research, a framework of questions was built and sent to some senior people in the area of AI and HR to check for its completeness. Respondents based on inclusion criteria were selected through random purposive sampling to be a part of the study. A total of 23 respondents participated in the study. Qualitative data analysis of the transcripts was conducted using MAXQDA 2022 (Verbi Software, Berlin, Germany), which is a qualitative data analysis software. Multiple readings were undertaken to identify the patterns and relationships in the data. Findings The participants described a variety of issues while using or planning to use AI for EE. Some of the issues mentioned were related to cost, challenges, mindsets and attitudes, demography of employees, comfort in the use of technology, size of the organisation, change management strategies, software vendors and vendor support. The most common responses were grouped into headings such as Organisation, Process, Employee and Software Choice Related aspects. Originality/value Lately, the overall work environment, work and personal life balance, and quality of life have become more desirable than earning a good salary. AI is becoming a part of various aspects of business but its role in HR is yet to be explored. AI’s capabilities to predict may result in more employee work satisfaction. The paper explores the possibility of using AI as a tool in every aspect of employee life cycle, thereby attempting to make HR processes more productive and enhance EE.
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来源期刊
Global Knowledge Memory and Communication
Global Knowledge Memory and Communication INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
4.20
自引率
16.70%
发文量
77
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