The ethical use of artificial intelligence in human resource management: a decision-making framework

2021 ◽  
Author(s):  
Sarah Bankins
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Resource Management ◽  
Human Resource Management ◽  
Human Resource ◽  
Decision Making Framework

scholarly journals Technology for Sustainable HRM: An Empirical Research of Health Care Sector

2019 ◽  
Vol 9 (1) ◽  
pp. 2919-2924
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Decision Making ◽  
Resource Management ◽  
Human Resources ◽  
Human Resource Management ◽  
Human Resource ◽  
Health Care Sector ◽  
Business Practices ◽  
Changing Times

In a highly competitive world of today characterised by VUCA (Volatility Uncertainty Complexity and Ambiguity) environment organizations are striving to achieve excellence with standard business practices. Given the international mantra of cost quality & service companies need to adopt technology in a proactive manner by collaborating with IT department. Traditionally HR and IT have operated as distinct units. But with the changing times there is an urgent need to adopt technology for improving the productivity of human resources thereby contributing to the sustainable organizational development. So a close collaboration between these two departments is called for. Some of the HR professionals assume that technology will fix all their problems i.e. By moving to cloud the outdated HR operating model and disconnected data sourcing issues will get resolved. But HR professionals will be committing a grave mistake if they think that the technology will be a panacea to all HR problems. In other words, the key is about how the technology is applied and not the acquisition of technology. In the prevailing competitive environment there is every need to understand appreciate the behaviour of the employees so that required initiatives could be taken for obtaining outstanding performance from these valuable human resources. In this regard technological tools like HR Analytics(HRA) Artificial Intelligence (AI) come very handy for getting valuable insights into human behaviour. Further application of these tools helps in effective decision making thereby contributing to the accomplishment of organization goals. Application of HRA and AI apart from facilitating decision making also helps in integrating Human Resource with other business activities. The paper focusses on understanding how HR analytics helps in sustainable human resource management by providing insights into elementary HR processes and behaviours. It also correlates well with current HRA/AI trends in general and health care sector in particular. Needless to say this will be a ready reference for any future study into role of data analytics/Artificial intelligence in Human Resource Management.

Quantifying human resource management: a literature review

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Clotilde Coron
Keyword(s):  
Artificial Intelligence ◽  
Resource Management ◽  
Literature Review ◽  
Human Resource Management ◽  
Human Resource ◽  
Design Methodology ◽  
Theoretical Framework ◽  
Data Sources ◽  
Content Type

PurposeWith a focus on the evolution of human resource management (HRM) quantification over 2000–2020, this study addresses the following questions: (1) What are the data sources used to quantify HRM? (2) What are the methods used to quantify HRM? (3) What are the objectives of HRM quantification? (4) What are the representations of quantification in HRM?Design/methodology/approachThis study is based on an integrative synthesis of 94 published peer-reviewed empirical and non-empirical articles on the use of quantification in HRM. It uses the theoretical framework of the sociology of quantification.FindingsThe analysis shows that there have been several changes in HRM quantification over 2000–2020 in terms of data sources, methods and objectives. Meanwhile, representations of quantification have evolved relatively little; it is still considered as a tool, and this ignores the possible conflicts and subjectivity associated with the use of quantification.Originality/valueThis literature review addresses the use of quantification in HRM in general and is thus larger in scope than previous reviews. Notably, it brings forth new insights on possible differences between the main uses of quantification in HRM, as well as on artificial intelligence and algorithms in HRM.

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