Rodyti trumpą aprašą

dc.contributor.authorÇiğdem, Şemsettin
dc.contributor.authorMeidutė-Kavaliauskienė, Ieva
dc.contributor.authorYıldız, Bülent
dc.date.accessioned2023-09-18T16:36:14Z
dc.date.available2023-09-18T16:36:14Z
dc.date.issued2023
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/115352
dc.description.abstractBackground: 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.eng
dc.formatPDF
dc.format.extentp. 1-18
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyEmerging Sources Citation Index (Web of Science)
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyDOAJ
dc.relation.isreferencedbyRePec
dc.rightsLaisvai prieinamas internete
dc.source.urihttps://www.mdpi.com/2305-6290/7/1/17
dc.source.urihttps://talpykla.elaba.lt/elaba-fedora/objects/elaba:158663325/datastreams/MAIN/content
dc.titleIndustry 4.0 and industrial robots: A study from the perspective of manufacturing company employees
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.accessRightsThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/)
dcterms.licenseCreative Commons – Attribution – 4.0 International
dcterms.references67
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionGaziantep University Khoja Akhmet Yassawi International Kazakh-Turkish University
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionKastamonu University
dc.contributor.facultyVerslo vadybos fakultetas / Faculty of Business Management
dc.subject.researchfieldS 003 - Vadyba / Management
dc.subject.studydirectionL02 - Vadyba / Management studies
dc.subject.studydirectionL01 - Verslas / Business studies
dc.subject.vgtuprioritizedfieldsEV03 - Dinamiškoji vadyba / Dynamic Management
dc.subject.ltspecializationsL104 - Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies
dc.subject.enindustrial robots
dc.subject.ennegative attitudes
dc.subject.entrust
dc.subject.enhuman–robot collaboration
dc.subject.enintention to use
dcterms.sourcetitleLogistics: Special issue: Lights-out logistics
dc.description.issueiss. 1
dc.description.volumevol. 7
dc.publisher.nameMDPI
dc.publisher.cityBasel
dc.identifier.doi000958978700001
dc.identifier.doi10.3390/logistics7010017
dc.identifier.elaba158663325


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