PurposeThe purpose of this paper is to investigate the significance of Web 2.0 and social media for organizational development and adaptation to an ever‐changing business environment and its successful managing. A model is proposed based on the concepts of innovative economy, knowledge management and social media for value creation in knowledge‐based industries.Design/methodology/approachThe paper examines critical factors that influence the role of social media in organizational change and value creation in knowledge‐based industries.FindingsThe paper contributes to discussion about the increasingly important role of social media in the value added chain in knowledge‐based industries.Research limitations/implicationsSocial media are still an emerging phenomenon and further studies are required to investigate these relationships over a longer period of time.Practical implicationsThe topic is relevant for designing corporate strategies in knowledge‐based companies becoming a part of global networks. Better understanding of the impact of social media on value added could significantly enhance both the top and bottom lines.Originality/valueThe paper explores when and why the inexpensive, but increasingly wider, use of social media in knowledge‐based industries is preferred to traditional media. This paper intends to give executives practical hands‐on advice for using social media in business campaigns.
Background and Purpose: The aim of the study is to develop a conceptual key competency model for smart factories in production processes, focused on the automotive industry, as innovation and continuous development in this industry are at the forefront and represent the key to its long-term success.Methodology: For the purpose of the research, we used a semi-structured interview as a method of data collection. Participants were segmented into three homogeneous groups, which are industry experts, university professors and secondary education teachers, and government experts. In order to analyse the qualitative data, we used the method of content analysis.Results: Based on the analysis of the data collected by structured interviews, we identified the key competencies that workers in smart factories in the automotive industry will need. The key competencies are technical skills, ICT skills, innovation and creativity, openness to learning, ability to accept and adapt to change, and various soft skills.Conclusion: Our research provides insights for managers working in organisations that are transformed by Industry 4.0. For instance, human resource managers can use our results to study what competencies potential candidates need to perform well on the job, particularly in regards to planning future job profiles in regards related to production processes. Moreover, they can design competency models in a way that is coherent with the trends of Industry 4.0. Educational policy makers should design curricula that develop mentioned competencies. In the future, the results presented here can be compared and contrasted with findings obtained by applying other empirical methods.
The aim of the study is to review the topic of competences that will be present at smart factories. The study used bibliometric and topic analysis to achieve insight into new trends in Industry 4.0. Bibliometric analysis and topic mining was done on 43 peer-reviewed journal articles and conference papers, published before July 2018 in the Thomson Reuters’ Web of Science and Scopus databases, using the software tool Statistica Data Miner. Results are segmented into four sections: (1) personnel development in learning organizations, (2) training techniques for personnel, (3) future engineering profiles and engineering education, and (4) relational capabilities. Each section is thoroughly discussed in this paper. The study contributes to the pool of knowledge on Industry 4.0 phenomena by compiling competences needed at smart factories in the future.
Background: The crucial elements of a smart factory, employees, machines, and products, have an important effect on current business models. Objectives: The main aim of our study is to present a case study of the impact of Industry 4.0 on the business model in a smart factory. The paper discusses the changes of business models of the organisation and determines critical factors that influence the business models in a knowledge society. Methods/Approach: Our sample included managers, from the company TPV, who are in charge of implementing a digital business model, and who are the most knowledgeable informants on the topic of our study. Data was obtained from, most widely used method for data collection in qualitative research, semi-structured interviews with managers. Content analysis was conducted for the purpose of our study. Results: Results of our study show that the major change will be that machines will have a “mind” of their own, whose main goal will be to work in production, and the role of employees will be primarily in expressing their creativity, carrying out urgent interventions and performing custody of processes. The key critical factors influencing business models in a smart factory are top management and leadership orientations, motivation of employees, collective wisdom, creativity and innovations. Conclusions: The study represents useful guidelines for strategic management of innovative companies in the earliest stages of the process of decision-making process.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.