Industry 4.0 and Industrial Robots: A Study from the Perspective of Manufacturing Company Employees

Şemsettin Çiğdem (), Ieva Meidute-Kavaliauskiene and Bülent Yıldız
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Şemsettin Çiğdem: Faculty of Economics and Administrative Sciences, Gaziantep University, 27310 Gaziantep, Turkey
Ieva Meidute-Kavaliauskiene: Department of Business Technologies and Entrepreneurship, Vilnius Gediminas Technical University, Sauletekio al. 11, 10223 Vilnius, Lithuania
Bülent Yıldız: Faculty of Economics and Administrative Sciences, Kastamonu University, 37150 Kastamonu, Turkey

Logistics, 2023, vol. 7, issue 1, 1-18

Abstract: Background: Human–robot collaboration is essential for efficient manufacturing and logistics as robots are increasingly used. Using industrial robots as part of an automation system results in many competitive benefits, including improved quality, efficiency, productivity, and reduced waste and errors. When robots are used in production, human coworkers’ psychological factors can disrupt operations. This study aims to examine the effect of employees’ negative attitudes toward robots on their acceptance of robot technology in manufacturing workplaces. Methods: A survey was conducted with employees in manufacturing companies to collect data on their attitudes towards robots and their willingness to work with them. Data was collected from 499 factory workers in Istanbul using a convenience sampling method, which allowed for the measurement of variables and the analysis of their effects on each other. To analyze the data, structural equation modeling was used. Results: The results indicate that negative attitudes towards robots have a significant negative effect on the acceptance of robot technology in manufacturing workplaces. However, trust in robots was found to be a positive predictor of acceptance. Conclusions: These findings have important implications for manufacturing companies seeking to integrate robot technology into their operations. Addressing employees’ negative attitudes towards robots and building trust in robot technology can increase the acceptance of robots in manufacturing workplaces, leading to improved efficiency and productivity.

Keywords: industrial robots; negative attitudes; trust; human–robot collaboration; intention to use (search for similar items in EconPapers)
JEL-codes: L8 L80 L81 L86 L87 L9 L90 L91 L92 L93 L98 L99 M1 M10 M11 M16 M19 R4 R40 R41 R49 (search for similar items in EconPapers)
Date: 2023
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