Digital twin technology has become one of the key directions of intelligent manufacturing with a strong relationship to product lifecycle management. It contributes to increasing efficiency and flexibility in solving highly complex problems in constantly changing conditions. However, many circumstances make the real implementation of effective scenarios generated by simulation software tools difficult. One of them are rigid working schedules that complicate flexible human resources planning in accordance with optimal production and logistics plans. This article aims to examine the role of the digital factory twin in advanced human resources planning. Using the case study method, a solution for better coordination of internal logistics processes and utilization of logistics staff based on discrete-event simulation is presented. Several scenarios were tested and results showed the inevitability of using flexible working schedules for maximum utilization of logistics staff. The purpose of this study is not only to show one special case of one company, but to emphasize the potential of these software tools to achieve long-term synergies in coordinating logistics, production and human resources management activities. As a result of this study, an extended physical-digitalphysical loop model is presented. This extension consists in adding the second loop including communication with HR portal.
{"title":"Introduction of a new flexible human resources planning system based on digital twin approach: A case study","authors":"Michal Pivnička, D. Hrušecká, Lucie Hrbackova","doi":"10.5937/sjm17-37281","DOIUrl":"https://doi.org/10.5937/sjm17-37281","url":null,"abstract":"Digital twin technology has become one of the key directions of intelligent manufacturing with a strong relationship to product lifecycle management. It contributes to increasing efficiency and flexibility in solving highly complex problems in constantly changing conditions. However, many circumstances make the real implementation of effective scenarios generated by simulation software tools difficult. One of them are rigid working schedules that complicate flexible human resources planning in accordance with optimal production and logistics plans. This article aims to examine the role of the digital factory twin in advanced human resources planning. Using the case study method, a solution for better coordination of internal logistics processes and utilization of logistics staff based on discrete-event simulation is presented. Several scenarios were tested and results showed the inevitability of using flexible working schedules for maximum utilization of logistics staff. The purpose of this study is not only to show one special case of one company, but to emphasize the potential of these software tools to achieve long-term synergies in coordinating logistics, production and human resources management activities. As a result of this study, an extended physical-digitalphysical loop model is presented. This extension consists in adding the second loop including communication with HR portal.","PeriodicalId":44603,"journal":{"name":"Serbian Journal of Management","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71067055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The rise of new technologies known as the fourth industrial revolution (Industry 4.0), brings a transformation that makes it possible to produce and manufacture products on machines through robots in modern smart factories. Industry 4.0 will increase productivity, quality of goods, foster industrial growth, and modify the profile of the workforce and required competences. However, such benefits and advantages should be assessed in light of potential barriers and negative consequences. The paper deals with the barriers of new technology introduction and main disadvantages of Industry 4.0. Based on questionnaire research in 217 industrial enterprises, the differences between enterprises according to their size and technological intensity are analysed. The main barriers of technology introduction and Industry 4.0 disadvantages are lack of funds, high costs, production process optimization and high investment need. The research confirmed only small differences in managers' preferences of Industry 4.0 technology barriers and Industry 4.0 disadvantages according to the enterprise size. The technological intensity was important only partly in case of perception of Industry 4.0 disadvantages. The key contributions of this work are promising results for a better understanding of technology barriers and Industry 4.0 disadvantages.
{"title":"Barriers of new technology introduction and disadvantages of industry 4.0 for industrial enterprises","authors":"Martin Pech, D. Vaněček","doi":"10.5937/sjm17-30453","DOIUrl":"https://doi.org/10.5937/sjm17-30453","url":null,"abstract":"The rise of new technologies known as the fourth industrial revolution (Industry 4.0), brings a transformation that makes it possible to produce and manufacture products on machines through robots in modern smart factories. Industry 4.0 will increase productivity, quality of goods, foster industrial growth, and modify the profile of the workforce and required competences. However, such benefits and advantages should be assessed in light of potential barriers and negative consequences. The paper deals with the barriers of new technology introduction and main disadvantages of Industry 4.0. Based on questionnaire research in 217 industrial enterprises, the differences between enterprises according to their size and technological intensity are analysed. The main barriers of technology introduction and Industry 4.0 disadvantages are lack of funds, high costs, production process optimization and high investment need. The research confirmed only small differences in managers' preferences of Industry 4.0 technology barriers and Industry 4.0 disadvantages according to the enterprise size. The technological intensity was important only partly in case of perception of Industry 4.0 disadvantages. The key contributions of this work are promising results for a better understanding of technology barriers and Industry 4.0 disadvantages.","PeriodicalId":44603,"journal":{"name":"Serbian Journal of Management","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71066334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The main purpose of the article is an attempt to assess the development potential of Multi Level Marketing in Poland, considering differences in perception of the system by different generations. In the theoretical part of the article, the essence of the concept of Multi Level Marketing is explained, market trends in the development of direct selling are presented, and the characteristics of generations X, Y, and Z are described. Then, according to the empirical part of the paper, the results of surveys on the differences in the perception of Multi Level Marketing by Polish representatives of generations X, Y, and Z are presented. In the last part, based on the analysis of the collected data, conclusions were formulated concerning further development perspectives of the direct selling branch.
{"title":"Determinants of the development of multi-level marketing in Poland in the context of differences between generations X, Y, Z","authors":"Aron-Axel Wadlewski","doi":"10.5937/sjm17-40532","DOIUrl":"https://doi.org/10.5937/sjm17-40532","url":null,"abstract":"The main purpose of the article is an attempt to assess the development potential of Multi Level Marketing in Poland, considering differences in perception of the system by different generations. In the theoretical part of the article, the essence of the concept of Multi Level Marketing is explained, market trends in the development of direct selling are presented, and the characteristics of generations X, Y, and Z are described. Then, according to the empirical part of the paper, the results of surveys on the differences in the perception of Multi Level Marketing by Polish representatives of generations X, Y, and Z are presented. In the last part, based on the analysis of the collected data, conclusions were formulated concerning further development perspectives of the direct selling branch.","PeriodicalId":44603,"journal":{"name":"Serbian Journal of Management","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71066766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Aćimović, Veljko M. Mijušković, D. Markovic, Ana Todorović-Spasenić
The success of managing the distribution of goods, raw materials and the flow of information within a company directly determines the success in managing all operations along the supply chain. Supply chain performance has the status of one of the key organizational performance determinants, while logistics performance is an important determinant of the supply chain performance. The subject of this research is the analysis of impact of logistics performance on organizational performance, with special emphasis on supply chain management performance. Using the analysis of business practice of companies from the territory of the Republic of Serbia, the aim of the research is to crystallize the importance of logistics management for improving the determinants of organizational performance: supply chain management performance, marketing performance and financial performance. The results show that logistics performance is one of the key drivers of generating supply chain management goals, which is directly reflected in the improvement of all categories of organizational performance.
{"title":"The relationship between logistics and organizational performance in a supply chain context","authors":"S. Aćimović, Veljko M. Mijušković, D. Markovic, Ana Todorović-Spasenić","doi":"10.5937/sjm17-37401","DOIUrl":"https://doi.org/10.5937/sjm17-37401","url":null,"abstract":"The success of managing the distribution of goods, raw materials and the flow of information within a company directly determines the success in managing all operations along the supply chain. Supply chain performance has the status of one of the key organizational performance determinants, while logistics performance is an important determinant of the supply chain performance. The subject of this research is the analysis of impact of logistics performance on organizational performance, with special emphasis on supply chain management performance. Using the analysis of business practice of companies from the territory of the Republic of Serbia, the aim of the research is to crystallize the importance of logistics management for improving the determinants of organizational performance: supply chain management performance, marketing performance and financial performance. The results show that logistics performance is one of the key drivers of generating supply chain management goals, which is directly reflected in the improvement of all categories of organizational performance.","PeriodicalId":44603,"journal":{"name":"Serbian Journal of Management","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71066651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Zaušková, A. Kusá, M. Kubovics, Simona Ščepková, R. Miklenčičová
The researched countries, which include the V4 countries, Serbia and Bulgaria, are working to exploit the potential that digitization offers under the Industry 4.0 concept. The rise of Industry 4.0 has resulted in tools such as machine learning, big data, automation, and robotics. In the current environment, we observe it in almost every business entity and across the V4 countries, Serbia and Bulgaria. Awareness of Industry 4.0 continues to grow in the current environment, precisely as a result of the expansion of Industry 4.0. The countries studied are taking Industry 4.0 tools to a new level. To obtain an up-to-date picture of the researched issue, our own questionnaire survey was used, which was used to examine and analyze the current level of Industry 4.0, and the results included in this paper can be compared with the results of the current level of Industry 4.0 in other countries. In order to obtain objective results from the questionnaire survey, five research areas were determined using five hypotheses. The main benefit of the paper lies in the interpretation of the results of the authors' scientific research, which point to the current level and rate of use of Industry 4.0 tools in the defined areas.
{"title":"Awareness of industry 4.0 and its tools across the V4 countries, Serbia and Bulgaria","authors":"A. Zaušková, A. Kusá, M. Kubovics, Simona Ščepková, R. Miklenčičová","doi":"10.5937/sjm17-36472","DOIUrl":"https://doi.org/10.5937/sjm17-36472","url":null,"abstract":"The researched countries, which include the V4 countries, Serbia and Bulgaria, are working to exploit the potential that digitization offers under the Industry 4.0 concept. The rise of Industry 4.0 has resulted in tools such as machine learning, big data, automation, and robotics. In the current environment, we observe it in almost every business entity and across the V4 countries, Serbia and Bulgaria. Awareness of Industry 4.0 continues to grow in the current environment, precisely as a result of the expansion of Industry 4.0. The countries studied are taking Industry 4.0 tools to a new level. To obtain an up-to-date picture of the researched issue, our own questionnaire survey was used, which was used to examine and analyze the current level of Industry 4.0, and the results included in this paper can be compared with the results of the current level of Industry 4.0 in other countries. In order to obtain objective results from the questionnaire survey, five research areas were determined using five hypotheses. The main benefit of the paper lies in the interpretation of the results of the authors' scientific research, which point to the current level and rate of use of Industry 4.0 tools in the defined areas.","PeriodicalId":44603,"journal":{"name":"Serbian Journal of Management","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71066994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
N. Srivastava, P. Kuila, N. Chatterjee, A. K. Subramani, Jan Akbar
A typical manufacturing system consists of a large number of repairable components/ machines which age with time and require maintenance. This paper proposes a novel maintenance policy selection method using genetic algorithm. Where, maintenance problem is formulated for n-component repairable system to minimize the total maintenance cost. The various maintenance policies and repairable components are represented in the form of chromosomes, initially various chromosomes are randomly generated which are then assessed and selected using fitness value and then crossover and mutation function is performed to obtain a better chromosome. Several iterations are performed till the desired results is achieved. The proposed algorithm is further explained and validated through an illustrative example.
{"title":"Maintenance policy selection of n-component repairable system using Genetic Algorithm","authors":"N. Srivastava, P. Kuila, N. Chatterjee, A. K. Subramani, Jan Akbar","doi":"10.5937/sjm17-28807","DOIUrl":"https://doi.org/10.5937/sjm17-28807","url":null,"abstract":"A typical manufacturing system consists of a large number of repairable components/ machines which age with time and require maintenance. This paper proposes a novel maintenance policy selection method using genetic algorithm. Where, maintenance problem is formulated for n-component repairable system to minimize the total maintenance cost. The various maintenance policies and repairable components are represented in the form of chromosomes, initially various chromosomes are randomly generated which are then assessed and selected using fitness value and then crossover and mutation function is performed to obtain a better chromosome. Several iterations are performed till the desired results is achieved. The proposed algorithm is further explained and validated through an illustrative example.","PeriodicalId":44603,"journal":{"name":"Serbian Journal of Management","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71066146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Although the mainstream economic doctrine relies on the concept of equilibrium, the current society has been recently facing serious challenges. While we can experience a gradually rise of the ideals of the knowledge society, we hold the opinion that the society (and the economies worldwide as well) will have a fractal structure following models investigated by the chaos theory. This paper is focused on decision making especially in economic or managerial tasks and its transforms due to the paradigm shift towards a fractal society in disequilibrium economic conditions. Statistical and information-theoretical aspects of decision support are discussed and a decision making example from the field of credit risk management is analyzed and presented.
{"title":"Decision making reflecting the fractalization of the society","authors":"J. Kalina","doi":"10.5937/sjm17-31413","DOIUrl":"https://doi.org/10.5937/sjm17-31413","url":null,"abstract":"Although the mainstream economic doctrine relies on the concept of equilibrium, the current society has been recently facing serious challenges. While we can experience a gradually rise of the ideals of the knowledge society, we hold the opinion that the society (and the economies worldwide as well) will have a fractal structure following models investigated by the chaos theory. This paper is focused on decision making especially in economic or managerial tasks and its transforms due to the paradigm shift towards a fractal society in disequilibrium economic conditions. Statistical and information-theoretical aspects of decision support are discussed and a decision making example from the field of credit risk management is analyzed and presented.","PeriodicalId":44603,"journal":{"name":"Serbian Journal of Management","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71066441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The main purpose of this study is to identify the dynamics of economic performance and competitiveness in the European Union (EU-28) countries and their convergences over the two periods, 2008-2015 and 2015-2019. The comparative analysis is used to answer the research question with applied the hierarchical cluster analysis, Ward's method, and t-test to test the set hypothesis. Eurostat and World Economic Forum data were used for the period 2008-2019. The empirical results confirmed our hypothesis that there are convergences in the key indicators of trade openness, exports as % of gross domestic product (GDP), market shares as % in world trade, GDP per capita, and global competitiveness index. The study contributes to the empirical analysis on the existence of convergences in a group of indicators of economic performance, trade openness, and global competitiveness of the EU-28 countries. The common clusters were formed, and the set hypothesis was tested regarding the convergences of the EU-28 countries by means of a hierarchical cluster analysis. Trade openness and export market shares in world trade, and competitiveness of EU28 countries are important for trade policies improving global competitiveness and improving convergences in the heterogeneity among the EU countries.
{"title":"Analysis of the economic performance and competitiveness of the European Union countries","authors":"Milja Marčeta, Š. Bojnec","doi":"10.5937/sjm17-31944","DOIUrl":"https://doi.org/10.5937/sjm17-31944","url":null,"abstract":"The main purpose of this study is to identify the dynamics of economic performance and competitiveness in the European Union (EU-28) countries and their convergences over the two periods, 2008-2015 and 2015-2019. The comparative analysis is used to answer the research question with applied the hierarchical cluster analysis, Ward's method, and t-test to test the set hypothesis. Eurostat and World Economic Forum data were used for the period 2008-2019. The empirical results confirmed our hypothesis that there are convergences in the key indicators of trade openness, exports as % of gross domestic product (GDP), market shares as % in world trade, GDP per capita, and global competitiveness index. The study contributes to the empirical analysis on the existence of convergences in a group of indicators of economic performance, trade openness, and global competitiveness of the EU-28 countries. The common clusters were formed, and the set hypothesis was tested regarding the convergences of the EU-28 countries by means of a hierarchical cluster analysis. Trade openness and export market shares in world trade, and competitiveness of EU28 countries are important for trade policies improving global competitiveness and improving convergences in the heterogeneity among the EU countries.","PeriodicalId":44603,"journal":{"name":"Serbian Journal of Management","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71066619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Danijela Voza, Aleksandra Szewieczek, Dariusz Grabara
Pandemic times and an increasing pace of sustainable development have accelerated the process of Industry 4.0 implementation. Digitalization is one of the key issues of Industry 4.0 development. The paper investigates an identified research gap on the perception of digitalization in terms of environmental goals and sustainability in the SME sector. The study features a comparative research design and examines the perception of digitalization in small and medium-sized enterprises in Poland and Serbia. The study gathered 235 responses on the impact of Industry 4.0 and digitalization in SMEs on environmental issues and sustainable development. Findings revealed that digitalizing the company has a positive effect on reducing carbon emissions. However, statistically significant discrimination in reducing harmful emissions was found between Poland and Serbia. Provided research procedure further adds to the practical implication in finding carbon emissions as the most important issue in sustainable development in the SME sector.
{"title":"Environmental sustainability in digitalized SMEs: Comparative study from Poland and Serbia","authors":"Danijela Voza, Aleksandra Szewieczek, Dariusz Grabara","doi":"10.5937/sjm17-36447","DOIUrl":"https://doi.org/10.5937/sjm17-36447","url":null,"abstract":"Pandemic times and an increasing pace of sustainable development have accelerated the process of Industry 4.0 implementation. Digitalization is one of the key issues of Industry 4.0 development. The paper investigates an identified research gap on the perception of digitalization in terms of environmental goals and sustainability in the SME sector. The study features a comparative research design and examines the perception of digitalization in small and medium-sized enterprises in Poland and Serbia. The study gathered 235 responses on the impact of Industry 4.0 and digitalization in SMEs on environmental issues and sustainable development. Findings revealed that digitalizing the company has a positive effect on reducing carbon emissions. However, statistically significant discrimination in reducing harmful emissions was found between Poland and Serbia. Provided research procedure further adds to the practical implication in finding carbon emissions as the most important issue in sustainable development in the SME sector.","PeriodicalId":44603,"journal":{"name":"Serbian Journal of Management","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71066850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study aims to explore thematic networks in research of Industry 4.0 in recent years. The analysis presented in the paper is based on the data retrieved from the Web of Science about publications that included the terms "fourth industrial revolution" and "Industry 4.0" within the domain of business application. The research consisted of a general analysis of publications and a more detailed analysis conducted using CiteSpace. CiteSpace, one of the very popular visual analysis tools for mapping the scientific networks, was used to analyze extracted articles and identify existing networks, clusters, and most influential authors. The findings indicate that Industry 4.0 represents a well-developed research field with distinctive but complementary research topics and also points out the emerging research topics. The study results can be helpful in further research on Industry 4.0 and relating technologies because it indicates the direction of recent research development.
本研究旨在探讨近年来工业4.0研究中的主题网络。本文所做的分析是基于从Web of Science上检索到的关于商业应用领域中包含“第四次工业革命”和“工业4.0”术语的出版物的数据。该研究包括对出版物的一般分析和使用CiteSpace进行的更详细的分析。CiteSpace是一个非常流行的可视化分析工具，用于绘制科学网络，用于分析提取的文章并识别现有的网络、集群和最具影响力的作者。研究结果表明，工业4.0代表了一个发展良好的研究领域，具有鲜明而互补的研究课题，并指出了新兴的研究课题。研究结果指出了近期研究的发展方向，对工业4.0及相关技术的进一步研究有一定的帮助。
{"title":"Knowledge mapping of research on Industry 4.0: A visual analysis using CiteSpace","authors":"Anđelka Stojanović","doi":"10.5937/sjm17-36500","DOIUrl":"https://doi.org/10.5937/sjm17-36500","url":null,"abstract":"This study aims to explore thematic networks in research of Industry 4.0 in recent years. The analysis presented in the paper is based on the data retrieved from the Web of Science about publications that included the terms \"fourth industrial revolution\" and \"Industry 4.0\" within the domain of business application. The research consisted of a general analysis of publications and a more detailed analysis conducted using CiteSpace. CiteSpace, one of the very popular visual analysis tools for mapping the scientific networks, was used to analyze extracted articles and identify existing networks, clusters, and most influential authors. The findings indicate that Industry 4.0 represents a well-developed research field with distinctive but complementary research topics and also points out the emerging research topics. The study results can be helpful in further research on Industry 4.0 and relating technologies because it indicates the direction of recent research development.","PeriodicalId":44603,"journal":{"name":"Serbian Journal of Management","volume":"1 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71067033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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