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Entrepreneurship and Sustainability Issues Open access
Journal Impact FactorTM (2025) 1.5 Q3
Journal Citation IndicatorTM (2025) 0.25 Q4
Received: 2026-05-18  |  Accepted: 2026-08-12  |  Published: 2026-09-30

Title

Six levels of robotic substitution of human labour: a staged framework for improving performance in engineering enterprises


Abstract

Engineering enterprises face increasing pressure to improve productivity, quality, competitiveness and long-term sustainability under conditions of labour shortages, rising complexity and accelerating digital transformation. Robotic systems are often presented as a response to these pressures, yet the relationship between robotisation and enterprise performance is neither automatic nor uniform. Existing automation and autonomy frameworks classify system capability, while Industry 4.0 maturity models assess organisational readiness; however, they do not sufficiently explain how the progressive substitution of human labour by robotic systems can be linked to concrete performance outcomes. This paper addresses this gap by proposing a six-level framework of robotic substitution of human labour in engineering enterprises. The framework adopts work substitution as its central unit of analysis and distinguishes six stages: Assisted Work, Robot as a Helper, Human–Robot Tandem, Teleoperated Robotic Work, Semi-Autonomous Robotic Work and Full Robotic Autonomy. Each level is connected to specific performance mechanisms and indicators, including ergonomic load, safety, quality, overall equipment effectiveness (OEE), labour productivity, value added per employee and capital productivity. The framework is developed as a conceptual design artefact grounded in socio-technical systems thinking and illustrated through typical engineering operations such as welding, material handling, assembly, quality inspection and internal logistics. The paper argues that higher autonomy is not automatically superior; progression between levels should be governed by safety as a gatekeeper and operational data as an enabler. The framework provides managers with a structured language for performance-oriented, safe and evidence-based robotisation decisions.


Keywords

robotic substitution of human labour, engineering enterprises, manufacturing performance, productivity, competitiveness, Industry 4.0, human–robot collaboration, socio-technical systems, sustainable manufacturing


JEL classifications

O31 , O32 , O33


URI

http://jssidoi.org/jesi/article/6692


DOI


Pages

436-451


Funding

This article is part of the research project “Innovation, entrepreneurship, financial performance and modern approaches to business management”, under the registration number FP-S-26-9013, Faculty of Business and Management, Brno University of Technology, Czech Republic.

This is an open access issue and all published articles are licensed under a
Creative Commons Attribution 4.0 International License

Authors

Bureš, Josef
Brno University of Technology, Brno, Czech Republic https://www.vutbr.cz
Articles by this author in: CrossRef |  Google Scholar

Bartoš, Vojtěch
Brno University of Technology, Brno, Czech Republic https://www.vutbr.cz
Articles by this author in: CrossRef |  Google Scholar

Journal title

Entrepreneurship and Sustainability Issues

Volume

14


Number

1


Issue date

September 2026


Issue DOI


ISSN

ISSN 2345-0282 (online)


Publisher

VšĮ Entrepreneurship and Sustainability Center, Vilnius, Lithuania

Cited

Google Scholar

Article views & downloads

HTML views: 326  |  PDF downloads: 237

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