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Human machine interactions: from past to future- a systematic literature review

Namita Jain (Department of Commerce, Faculty of Commerce and Business, Delhi School of Economics, University of Delhi, New Delhi, India)
Vikas Gupta (Delhi School of Management, Delhi Technological University, Delhi, India)
Valerio Temperini (Department of Management, Polytechnic University of Marche, Ancona, Italy)
Dirk Meissner (Head Laboratory Economics of Innovation, Institute for Statistical Studies and Economics of Knowledge, National Research University Higher School of Economics, Moscow, Russian Federation)
Eugenio D’angelo (Department of Economics and Management, Faculty of Economics and Law, Pegaso Telematic University, Napoli, Italy)

Journal of Management History

ISSN: 1751-1348

Article publication date: 15 March 2024

114

Abstract

Purpose

This paper aims to provide insight into the evolving relationship between humans and machines, understanding its multifaceted impact on our lifestyle and landscape in the past as well as in the present, with implications for the near future. It uses bibliometric analysis combined with a systematic literature review to identify themes, trace historical developments and offer a direction for future human–machine interactions (HMIs).

Design/methodology/approach

To provide thorough coverage of publications from the previous four decades, the first section presents a text-based cluster bibliometric analysis based on 305 articles from 2,293 initial papers in the Scopus and Web of Science databases produced between 1984 and 2022. The authors used VOS viewer software to identify the most prominent themes through cluster identification. This paper presents a systematic literature review of 63 qualified papers using the PRISMA framework.

Findings

Next, the systematic literature review and bibliometric analysis revealed four major historical themes and future directions. The results highlight four major research themes for the future: from Taylorism to advanced technologies; machine learning and innovation; Industry 4.0, Society 5.0 and cyber–physical system; and psychology and emotions.

Research limitations/implications

There is growing anxiety among humankind that in the future, machines will overtake humans to replace them in various roles. The current study investigates the evolution of HMIs from their historical roots to Society 5.0, which is understood to be a human-centred society. It balances economic advancement with the resolution of social problems through a system that radically integrates cyberspace and physical space. This paper contributes to research and current limited knowledge by identifying relevant themes and offering scope for future research directions. A close look at the analysis posits that humans and machines complement each other in various roles. Machines reduce the mechanical work of human beings, bringing the elements of humanism and compassion to mechanical tasks. However, in the future, smart innovations may yield machines with unmatched dexterity and capability unthinkable today.

Originality/value

This paper attempts to explore the ambiguous and dynamic relationships between humans and machines. The present study combines systematic review and bibliometric analysis to identify prominent trends and themes. This provides a more robust and systematic encapsulation of this evolution and interaction, from Taylorism to Society 5.0. The principles of Taylorism are extended and redefined in the context of HMIs, especially advanced technologies.

Keywords

Acknowledgements

Dirk Meissner acknowledges support from the Basic Research Program of the HSE University.

The authors would like to acknowledge and thank Sunakshi Chadha, Kumar Manaswi and Ankit Verma for their help and support.

Funding: The article is based on the study funded by the Basic Research Program of the HSE University.

Citation

Jain, N., Gupta, V., Temperini, V., Meissner, D. and D’angelo, E. (2024), "Human machine interactions: from past to future- a systematic literature review", Journal of Management History, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/JMH-12-2022-0085

Publisher

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Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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