Smart human resource analytics for happiness management

Author:

Abellán-Sevilla Arturo-JuliánORCID,Ortiz-de-Urbina-Criado MartaORCID

Abstract

PurposeThe coronavirus disease 2019 pandemic changed the lives of people around the world. In a post pandemic era, leaders have a role to enable the changes needed to make workplaces smart and happier. The aim of this study is to look at human resource management (HRM) from new perspectives: being smart and happy in the workplace. Some research questions are proposed: What do we know about smart human resources (smart HR)? What do we know about human resource analytics (HRA)? and how can future research on smart and happy HRM be oriented?Design/methodology/approachA bibliometric technique is used to identify the main topics studied in smart HR and HRA. A logical reasoning is applied to propose future research models.FindingsFor smart HR, the roadmap considers the approaches, practices and purposes. For HRA, the roadmap shows what are the perspectives HR processes, tools and its usefulness. Considering the context of Industry 5.0 and post pandemic era, a future research line for studying smart HRA for happy management is proposed.Originality/valueThis study has developed a proposed model to guide future research on the application of HRA to manage smart and happy workers.

Publisher

Emerald

Subject

Business, Management and Accounting (miscellaneous),Organizational Behavior and Human Resource Management,Business, Management and Accounting (miscellaneous),Organizational Behavior and Human Resource Management

Reference38 articles.

1. Development of framework for talent management in the global context;Open Journal of Business and Management,2021

2. Human resource analytics using power Bi visualization tool,2020

3. The influence of data-driven HRM on employee wellbeing: the role of responsible leadership,2018

4. Raging debates in HR analytics;Human Resource Management International Digest,2012

5. Socio-technical perspectives on smart working: creating meaningful and sustainable systems;Information Systems Frontiers,2020

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3