scholarly journals Research on the Global Human Resource Management Model of Multinational Enterprises Base on Big Data Analysis

2021 ◽  
Vol 1744 (4) ◽  
pp. 042105
Author(s):  
Zhang Hui
Author(s):  
D. Bragina ◽  
N. Molodchik

The article discusses the possibilities of using big data in the field of human resources management, shows the difficulties that can be encountered when introducing these technologies into the work of the company. The main problems of the use of employee data by companies for the analysis, forecasting and improvement production indicators are given. Examples of companies that successfully use big data in their work are shown. Recommendations how to introduce the technology of big data analysis in the field of human resource management are given.


2018 ◽  
pp. 1-16 ◽  
Author(s):  
Desmond Tutu Ayentimi ◽  
John Burgess ◽  
Kantha Dayaram

AbstractLocal isomorphism constitutes the regulatory, cognitive and normative profile of a host country. The regulatory institutional setting reflects the rules and legislation governing collective bargaining agreements, trade unions, local content laws and employment relationships. The cultural or cognitive dimension supports the widely held cultural and social knowledge and the normative profile acknowledges the influences of social groups and organizations on acceptable normative behaviour. Earlier literature lends support to the importance of institutional profile and its influence on the design and implementation of multinational enterprises’ human resource management policies and practices. This paper seeks to advance the concept of local isomorphism and highlight the implications of local isomorphism for future research on the transfer of multinational enterprises’ human resource management practices across and between subsidiaries.


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