Digital HRM Model for Process Optimization by Adoption of Industry 4.0 Technologies

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

The 4th Industrial Revolution, the digitalisation of industry, is transforming the operation of industries; automated, autonomous and decentralised. This transformation is changing the roles and responsibilities of personnel, requiring transformation of Human Resource Management (HRM) functionalities. A digital model of all HRM activities is created by simulation of HRM business process models. Business process models graphically detail the steps for execution of all HRM activities from recruitment and development of employees to conflict resolution. To align to the need of digitalisation, the digital HRM model is developed into a HRM optimisation model that analyses the impacts of application of Industry 4.0 technologies. The model identifies the applicable Industry 4.0 technologies for each of the HRM business activities and evaluates the personnel time requirements, energy demand and carbon dioxide emissions of each technology or technology mix towards identification of the optimum business activity execution methodology. The results of the model provides essential information for selection of the business activity for reengineering towards digitalisation and the appropriate Industry 4.0 technology for application for optimum business results.

Original languageEnglish
Title of host publication2019 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2019
PublisherIEEE Computer Society
Pages374-378
Number of pages5
ISBN (Electronic)9781728138046
DOIs
Publication statusPublished - Dec 2019
Event2019 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2019 - Macao, Macao
Duration: 15 Dec 201918 Dec 2019

Publication series

NameIEEE International Conference on Industrial Engineering and Engineering Management
ISSN (Print)2157-3611
ISSN (Electronic)2157-362X

Conference

Conference2019 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2019
Country/TerritoryMacao
CityMacao
Period15/12/1918/12/19

Keywords

  • Human resource management
  • Industry 4.0
  • digitalization
  • energy optimization

ASJC Scopus subject areas

  • Business, Management and Accounting (miscellaneous)
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality

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