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

M. Munsamy; A. Telukdarie

doi:10.1109/IEEM44572.2019.8978726

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

Johannesburg Business School

Mangosuthu University of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

15 Citations (Scopus)

Abstract

The 4^th 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 language	English
Title of host publication	2019 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2019
Publisher	IEEE Computer Society
Pages	374-378
Number of pages	5
ISBN (Electronic)	9781728138046
DOIs	https://doi.org/10.1109/IEEM44572.2019.8978726
Publication status	Published - Dec 2019
Event	2019 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2019 - Macao, Macao Duration: 15 Dec 2019 → 18 Dec 2019

Publication series

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

Conference

Conference	2019 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2019
Country/Territory	Macao
City	Macao
Period	15/12/19 → 18/12/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure
SDG 13 Climate Action

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

Access to Document

10.1109/IEEM44572.2019.8978726

Cite this

Munsamy, M., & Telukdarie, A. (2019). Digital HRM Model for Process Optimization by Adoption of Industry 4.0 Technologies. In 2019 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2019 (pp. 374-378). Article 8978726 (IEEE International Conference on Industrial Engineering and Engineering Management). IEEE Computer Society. https://doi.org/10.1109/IEEM44572.2019.8978726

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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.",

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Munsamy, M & Telukdarie, A 2019, Digital HRM Model for Process Optimization by Adoption of Industry 4.0 Technologies. in 2019 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2019., 8978726, IEEE International Conference on Industrial Engineering and Engineering Management, IEEE Computer Society, pp. 374-378, 2019 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2019, Macao, Macao, 15/12/19. https://doi.org/10.1109/IEEM44572.2019.8978726

Digital HRM Model for Process Optimization by Adoption of Industry 4.0 Technologies. / Munsamy, M.; Telukdarie, A.
2019 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2019. IEEE Computer Society, 2019. p. 374-378 8978726 (IEEE International Conference on Industrial Engineering and Engineering Management).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Munsamy M , Telukdarie A. Digital HRM Model for Process Optimization by Adoption of Industry 4.0 Technologies. In 2019 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2019. IEEE Computer Society. 2019. p. 374-378. 8978726. (IEEE International Conference on Industrial Engineering and Engineering Management). doi: 10.1109/IEEM44572.2019.8978726

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

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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