Prof. Iztok Palcic
University of Maribor, Faculty of Mechanical Engineering, Maribor, Slovenia
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Academic Career Length
14Years (2013-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications1 March 2021 in Applied Mathematical Modelling
Journal Article
Journal Article
Iztok Palcic
Jasna PresterThe main aim of this paper is to evaluate if manufacturing firms can boost their performance through green innovations. The literature on this topic shows contradictory findings. We have concentrated on the effect of advanced manufacturing technologies (AMT) on green innovations. To the authors’ best knowledge, this research is the first to examine the impact of a firm’s own AMT on green innovation and the firm’s performance at the same time. Green innovation in our research relates to green product innovation. The data analysis is performed through three-step OLS regression analysis and two evaluation models. One model looks at AMT and how they affect green innovation, and the second model looks at how AMT and green innovations affect performance. Our findings suggest that AMT contribute to both the firm’s performance and green innovation. We found that technology is a moderator for green innovations. While the majority of research emphasizes that firms will not eco-innovate unless they receive subsidies or severe restrictions are imposed, we show that out of all innovations, 66% are green innovations. Restrictions such as having ISO 14000 certification do not contribute to green innovation, but rather the age of the firm does.
Journal Article
KKKlemen Kovič
Klemen Kovič
Polona TomincJasna PresterIztok PalcicThis study investigates the adoption of artificial intelligence (AI) software in manufacturing companies in Slovenia, Slovakia and Croatia, and across six production areas. This research ad-dresses a gap in the literature regarding AI software implementation in relation to company size, technology intensity and supply chain role, and examines whether Industry 4.0 (I4.0) readiness influences AI adoption. Data from the European Manufacturing Survey 2022 were analyzed, and showed that the use of AI is still relatively low. On average only 18.4% of companies use AI software in at least one production area. Logistic regression analysis revealed that neither company size nor role in the supply chain or technology intensity are statistically significantly related to AI usage. However, a significant positive relationship was found between I4.0 readiness and AI adoption, suggesting that companies with advanced digital infrastructures and integrated cyber-physical systems are more likely to adopt AI. This finding underlines the importance of digital transformation for the integration of AI software. The study concludes that while company characteristics such as size and the role of the company in the supply chain are not statistically significantly related to the use of AI, the level of digital readiness is crucial.
Journal Article
Circular Economy (CE) practices and technologies are essential for increasing sustainability performance in manufacturing. Due to the increasing number of environmental regulations and growing public awareness of environmental issues, especially in the EU, CE is increasingly seen as a valuable factor in improving competitiveness. Therefore, there is a need for a fuller understanding of the ways in which CE technologies can be implemented into the manufacturing industries. The aim of this paper is to contribute to the identification of the characteristics of manufacturing companies and their perceptions of the barriers to the adoption of CE technologies. This survey-based study of 241 manufacturing companies (comprising a sub-sample of Slovak and Slovenian companies from the more extensive European Manufacturing Survey) uses a series of statistical tests to examine the implementation of three CE technologies. The results show that there is significant relationship between the adoption of CE technologies in manufacturing companies and their size, location, R&D activities, company age and product batch size. Finally, the research reveals the surprising finding that there is no apparent link between the perception of CE barriers and the plans of companies to implement selected CE technologies.
15 September 2018 in Strojniški vestnik - Journal of Mechanical Engineering
Journal Article
Journal Article
Iztok PalcicJasna PresterIndustrial robots are slowly finding their way into manufacturing companies. This paper examines the impact of robots on productivity, exports, quality, sustainability and labor in European manufacturing companies. There is little research on the use of industrial robots and their impact in developed countries. Most research relates to Chinese companies, and often, the data are outdated. The data in this paper come from the European Manufacturing Survey project, which was conducted in 2022 and includes 476 manufacturing companies. The results of the impact of industrial robots on quality, labor productivity, exports and green technologies are determined using a T-test between companies that use industrial robots and those that do not. However, the impact of higher investment in environmental technologies by industrial robot users was examined by a two-stage OLS regression analysis with control variables representing the contextual characteristics of the companies. The results show positive effects on all of the variables. The results show that the greater use of robots occurs in industries with low-to-medium technology intensity, that robots contribute to labor productivity and exports and that companies that use robots also tend to use environmentally friendly technologies.
About Me
Full Professor Dr Iztok Palčič has been employed at the University of Maribor, Faculty of Mechanical Engineering, Laboratory for Production and Operations Management since 1999. He is Vice-Dean for Quality Assurance. His areas of expertise are production management, project management, new product development, technology management and innovation management. He is the author of over 50 scientific papers and six scientific monographs and a mentor of over 250 diplomas and master theses. Prof. Palčič is a visiting researcher and professor at Graz University of Technology (Austria) and the Faculty of Technical Sciences in Novi Sad (Serbia). He has been visiting researcher at the Vienna University of Technology and Leeds University Business School.
Prof. Palčič is a project manager of the research project European Manufacturing Survey in Slovenia. This is the largest European survey on manufacturing activities, coordinated by Fraunhofer Institute.
He has many experiences in different national and international R&D projects: 6. FP, Leonardo, PHARE, Tempus, Erasmus projects, Slovenian Research Agency projects, CEEPUS etc. He is also a project manager or project team member in industry projects. He is also a certified IPMA project manager (Level B) and former editor-in-chief of Project Management Review. He is a member of European Operations Management Association (EUROMA), the European Academy for Industrial Management (AIM) and the European Professors of Industrial Engineering