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      Impact of Industry 4.0 on Companies: Value Chain Model Analysis

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      Administrative Sciences
      MDPI AG

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          Abstract

          Although the concept of Industry 4.0 is newer, more and more companies are responding to this concept and incorporating it into their business models. Industry 4.0 arose as a result of the development of new technologies based on automation, through which technologies can communicate with each other. The aim of this study is to analyze the impact of Industry 4.0 on companies from the point of view of the value chain model. The study points out why the model is a suitable tool for evaluating changes. The research consisted of 1164 respondents, while the sample consisted of 591 Czech companies and 573 Slovak companies. We found that 62% of companies carry out activities in the field of robotization and automation to a large extent, and 32% carry out these activities little or not at all. Regarding the impact of Industry 4.0 on individual activities in the value chain, we found that companies expect the greatest impact on technological development (secondary activity) and customer service (primary activity). On the contrary, they least expect the impact of Industry 4.0 in the primary activities of input logistics and operation. From this point of view, we can say that companies perceive the impact of Industry 4.0 on the activities taking place in their value chains. However, it is important to capture these changes, react appropriately to them and remain competitive.

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          Most cited references16

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          The Competitive Advantage of Nations

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            The Role and Impact of Industry 4.0 and the Internet of Things on the Business Strategy of the Value Chain—The Case of Hungary

            In the era of industrial digitalization, companies are increasingly investing in tools and solutions that allow their processes, machines, employees, and even the products themselves, to be integrated into a single integrated network for data collection, data analysis, the evaluation of company development, and performance improvement. To study the impact of Industry 4.0 on the company we used Porter’s (1985) value chain model, which is particularly useful when paying particular attention to corporate areas which have a primary role in customer value creation. Since the primary impact of Industry 4.0 is perceived in value-creating processes, and has so far had the greatest transformative effect in this area, the model can be considered to be appropriate. The objective of our research is to discover how companies operating in Hungary interpret the phenomenon of Industry 4.0, what Internet of Things (IoT) tools they use to support their processes, and what critical issues they face during adaptation. We applied a dual methodology in our investigation: We sent an online questionnaire to manufacturing and logistical service companies to investigate the IoT tools they use, and the problems they face, and received 43 answers we could evaluate. We also conducted four expert interviews with manufacturing firms to get deeper insights into the application, critical issues and development phases of IoT tools. During our research, we found that the spread of real-time data across companies—given the availability of appropriate analytical tools and methods—can have a significant impact on the entire company. In the case of CPS (Cyber Physical System), CPPS and Big Data Technologies, companies using them have been evaluated as having a higher level of logistic service, more efficient processes with their partners, improved cooperation between certain logistic functions, and higher market and financial performance and competitiveness. Applying more efficient production processes, and achieving better productivity and economies of scale, might also result in increased economic sustainability. Furthermore, we have found that companies have started on the path to digital evolution, and investments of this type have already begun.
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              Influences of the Industry 4.0 Revolution on the Human Capital Development and Consumer Behavior: A Systematic Review

              Automation and digitalization, as long-term evolutionary processes, cause significant effects, such as the transformation of occupations and job profiles, changes to employment forms, and a more significant role for the platform economy, generating challenges for social policy. This systematic literature review aims to provide an overview of the research to date related to influences of the Industry 4.0 Revolution on human capital development and consumer behavior. A search on the Web of Science identified 160 papers that met the inclusion criteria. The major objectives aimed to identify: the main types of influences of the Industry 4.0 Revolution on human capital development and consumer behavior; the main opportunities and challenges for new directions in education associated with shifting the work environment; and the drivers for human capital development and consumer behavior through the lenses of the Industry 4.0 Revolution. The results revealed some key aspects for the development of human capital: information, new jobs, the Internet, technology, training, education, new skills, automation, communication, innovativeness, professionals, productivity, artificial intelligence, digitalization, e-recruitment, and the Internet of Things, as well as the main drivers of consumer behavior: information, e-commerce, digitalization, the Internet of Things, e-distribution, technology, digitalization, automation, personalized, performance, artificial intelligence, behavior intention, e-shopping, and data mining.
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Administrative Sciences
                Administrative Sciences
                MDPI AG
                2076-3387
                February 2023
                January 28 2023
                : 13
                : 2
                : 35
                Article
                10.3390/admsci13020035
                502ac6c8-690e-4fa5-9932-22dcd5acef97
                © 2023

                https://creativecommons.org/licenses/by/4.0/

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