Central European Management Journal

Embracing intelligent machines: A qualitative study to explore the transformational trends in the workplace

Annamalai, Sumathi Vasunandan, Aditi

School of Business and Management, Christ University, Bangalore | Goldman Sachs India, Bangalore

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Abstract

Purpose – With Industry 4.0 and the extensive rise of smart technologies, we are seeing remarkable transformations in work practices and workplaces. Scholars report the phenomenal progress of smart technologies. At the same time, we can hear the rhetoric emphasising their potential threats. This study focusses on how and where intelligent machines are leveraged in the workplace, how humans co-working with intelligent machines are affected and what they believe can be done to mitigate the risks of the increased use of intelligent machines.
Design/methodology/approach – We conducted in-depth interviews with 15 respondents working in various leadership capacities associated with intelligent machines and technologies. Using NVivo, we coded and churned out the themes from the qualitative data collected.
Findings – This study shows how intelligent machines are leveraged across different industries, ranging from chatbots, intelligent sensors, cognitive systems and computer vision to the replica of the entire human being. They are used end-to-end in the value chain, increasing productivity, complementing human workers’ skillsets and augmenting decisions made by human workers. Human workers experience a blend of positive and negative emotions whilst co-working with intelligent machines, which influences their job satisfaction level. Organisations adopt several anticipatory strategies, like transforming into a learning organisation, identifying futuristic technologies and upskilling their human workers, regularly conducting social learning events and designing accelerated career paths to embrace intelligent technologies.
Originality/value – This study seeks to understand the emotional and practical implications of the use of intelligent machines by humans and how both entities can integrate and complement each other. These insights can help organisations and employees understand what future workplaces and practices will look like and how to remain relevant in this transformation.

Metadata

Journal Central European Management Journal 
Volume 32 
Issue 3 
Issue date 09/2024 
Type Article 
Language en
Pagination 350-367
DOI 10.1108/CEMJ-03-2023-0137
ISSN 2658-0845
eISSN 2658-2430