Determinants of human-machine interaction technology usage: An automated machine learning approach

IF 11.1 1区管理学 Q1 ENGINEERING, INDUSTRIAL

Technovation Pub Date : 2025-03-30 DOI:10.1016/j.technovation.2025.103230

Ilan Alon , Vanessa P.G. Bretas , Jefferson R.B. Galetti , Marta Götz , Barbara Jankowska

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引用次数: 0

Abstract

The advent of Industry 4.0 technologies has reshaped modern manufacturing. Human-machine interaction (HMI) technologies are essential to this transformation, as they facilitate communication between people and machines, bridge the digital and physical worlds, improve decision-making, and increase overall productivity. However, the diffusion of these cutting-edge technologies varies greatly, possibly resulting in persistent geographical disparities over time. Moreover, our understanding of the factors determining the use of HMI technologies is still limited. Our goal is to investigate the factors that influence manufacturing firms’ use of these technologies, providing a comprehensive perspective. Combining insights provided by economic geography and innovation studies, we take a holistic approach that includes a wide range of technological, organizational, and environmental (TOE) factors. Using Automated Machine Learning (AML), we identify non-linear relationships between key predictors and the usage of HMI technology. Our analysis highlights the importance of geographical and organizational proximities in absorbing local external knowledge and coordinating long-distance knowledge pipelines alongside traditional factors influencing the rate of technology use.

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来源期刊

Technovation 管理科学-工程：工业

CiteScore

15.10

自引率

11.20%

发文量

208

审稿时长

91 days

期刊介绍： The interdisciplinary journal Technovation covers various aspects of technological innovation, exploring processes, products, and social impacts. It examines innovation in both process and product realms, including social innovations like regulatory frameworks and non-economic benefits. Topics range from emerging trends and capital for development to managing technology-intensive ventures and innovation in organizations of different sizes. It also discusses organizational structures, investment strategies for science and technology enterprises, and the roles of technological innovators. Additionally, it addresses technology transfer between developing countries and innovation across enterprise, political, and economic systems.