Towards an Automated, Vigilant, and Strategic HRM Function in Industry 5.0

Towards an Automated, Vigilant, and Strategic HRM Function in Industry 5.0

Pramit Banerjee
DOI: 10.4018/978-1-6684-6745-9.ch006
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Abstract

The chapter references technological applications' advancements in the HRM function and suggests the revised HRM function in Industry 5.0. In the first part, a brief background has been given on the technological advancements in the function followed by an extensive literature review of the ongoing and probable application areas of technologies in HRM function. Subsequently, the author develops certain models of operations that the HRs will have to follow, which will help in imbibing the technological practices of machine learning, artificial intelligence, blockchain while adhering to the data privacy practices. Thus, this approach makes the HRM function more automated but vigilant and strategic simultaneously so that HRs can monitor and control the cobots in Industry 5.0.
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Introduction

The HRM function is witnessing a drastic change in how it operates in industry 4.0 as more and more applications of automation and robotics are coming into the picture. In the wake of this digital revolution, many managers are constantly updating themselves in terms of the latest tools and technologies being used in the HRMS. At the same time, some are still sceptical about using people analytics and other technological advances in the domain. In both US and China, many solutions related to the application of AI and automation in HR function are being deployed so that the people in HR function can partner for a transformational journey which will improve the overall function and efficiency at work (Brin, 2019). No wonder, as we move towards the next industrial revolution, robots will start working alongside humans in the manufacturing sectors and in other service sectors, the robots will be helping the humans to maximize the efficiency of the processes. It is the collaborative efforts of the man and the robots that will thrive in the industry 5.0 where the robots will continue to play its active role in the manufacturing process whereas the humans will step in, with their creative part providing the feedback in the manufacturing process before creation of the final product and thus by complementing each other in the production process, the collaborative robots will play an important role in industry 5.0 (Østergaard, 2016). As per the latest report by Cognizant, with the ushering of AI and automation, the human resources professionals need to play the role of being the detective of the HR data where they can investigate the different patterns of data originating from IT systems, a survey of employees, attendance systems etc., and thus understand the behavioural patterns of the employees and be aware of the pulse of the organization through the employee sentiments and emotions (Brown et al., 2020). In this regard, the role of HR managers must be much more than just remaining confined to the traditional HRMS software and interacting with humans on an ad-hoc basis. This chapter thus focuses on the revised role of HR in the upcoming industrial revolution, i.e., industry 5.0 and how they will be contributing to the overall organizational success. The first section of this chapter focuses on reviewing the literature, while the subsequent sections focus on constructing the conceptual frameworks based on which the HRM functions would be operating, while referring to the relevant literature. The author also raises a few questions further on what could be the challenges and the road ahead while stressing on the fact that it will be the HR managers who will be playing a more controlling, strategic and vigilant role while upgrading themselves to the latest technological offerings required in this function.

Key Terms in this Chapter

Efficiency: A state that defines the degree of being dynamic while in operation.

Vigilant: A form of attribute that implies keeping a close and careful watch.

Engagement: A form of an event where there is an interaction and agreement between the subjects involved ( Sharma and Garg, 2017 ).

Machine Learning (ML): A technology that induces the learning capabilities within the machines through algorithms and computing power for generating predictive capability.

Artificial Intelligence (AI): A technology which is aimed at enabling the machines to analyze and predict the events thereby enabling automation.

Human Resource Management Systems (HRMS): An information technology enabled system that manages the data record of the organization for usage of the HR and employee.

Cobot: A robot that is considered as a very close or direct interaction with the human while at work.

Recruitment: A function within the human resource management that includes the process of taking an employee in the organization.

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