Special Issue "Development of a Smart Future under Society 5.0"
Deadline for manuscript submissions: 30 April 2021.
Interests: management; human resources; industry 4.0; smart factories; smart cities; occupational health
Interests: data; decision trees; data mining; neural networks; statistics; management; information technologies; big data; business intelligence; business process management; structural equation modelling; association rules; cluster analysis; validity
Interests: industry 4.0; smart cities; social media; sustainable development
Interests: human resource management; risis management; risk management
Society 5.0 is synonymous with the digital society of the future. It is a modern development concept that has grown into a global phenomenon and represents an opportunity to transform the economy and society with the goal of long-term sustainable development and economic growth. It will create a better society, with people at the forefront, while bringing together the real and the virtual world based on the development of Industry 4.0. Industry 4.0 has matured and is on the verge of ushering the new period of Society 5.0. Indeed, the opportunities offered by Industry 4.0 through the improvement of production processes and the introduction of robotics in processes have stimulated reflection on how all this will affect the situation outside the smart factories.
We expect manuscripts that can discuss different aspects of Society 5.0: a business aspect that includes innovation and the development of business models; a social aspect that includes the 17 sustainable development goals; and a technological aspect that includes the Internet of Things, robotics, advanced robots, cyber physical systems, augmented reality, simulation, horizontal and vertical system integration, the Industrial Internet of Things (IIOT), cloud computing cybersecurity, trajectory data, big data, and big data analytics. The use of big data is expected to increase in the coming years and will play a major role in promoting the development of society. In general, all contributions regarding Society 5.0 and Industry 4.0 can be included in this Special Issue.
Dr. Maja Meško
Prof. Dr. Mirjana Pejić Bach
Dr. Mag. Vasja Roblek
Dr. Polona Sprajc
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Data is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- society 5.0
- industry 4.0
- future development
- smart cities
- smart factories
- big data
- trajectory data
- trajectory data analysis
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Result of Socially Responsible Society 5.0: Welfare society
Authors: Simona Šarotar Žižek 1, and Dr. Matjaž Mulej 2
Affiliation: 1. Faculty of Economics and Business, University of Maribor, Razlagova 14, SI-2000 Maribor; 2. Faculty of Economics and Business, University of Maribor, Razlagova 14, SI-2000 Maribor
Abstract: The purpose of this study is to introduce the Society 5.0 concept and to research how relevant is Society 5.0 to Slovenia. It is aimed to establish a welfare society where humanity and its well-being, including the work-life balance are at the forefront. The Dialectical Systems approach provides requisite (i.e. sufficient and necessary) integrity/holism of results. Japanese developed the concept of Society 5.0 because of all issues and obstacles, which are arising, while they are trying to implement Industry 5.0. It eliminates most of the issues, which are usual in economies, currently using or facing the concept of Industry 4.0. Only satisfied and happy persons can contribute to development and solution of economic and other social problems. In order to satisfy humans, one must recognize and satisfy their needs. Information and communication technology also matter. Society 5.0 concept exposes, along with individuals and economic development, environmental and energy-related issues, and other socially relevant aspects. One must create welfare society with welfare organizations with managers who provide prosperity with socially and personally responsible people. This results in the long-term existence and development of society, organizations and people, approaches, concepts and methodologies for designing welfare societies and organizations led by welfare managers.
Keywords: human; Society 5.0; socially responsible society; Industry 4.0; sustainability; social responsibility; welfare; welfare society
Title: Society 5.0: the state-of-the-art and future of machine learning
Authors: Tine Bertoncel
Affiliation: Faculty of Management, University of Primorska, Cankarjeva 5, SI-5000 Koper, Slovenia
Abstract: The study is focused on the current advances in machine learning, particularly the advances that have occurred in the past two decades. The research on this topic will be presented within the context of Society 5.0, as Society 5.0 becomes more prominent in our daily lives at home, work and various social environments. Several web sources have been crawled and scraped for the purpose of the study. The collected data on machine learning skills has been analyzed using unsupervised machine learning algorithms and traditional algorithms. The study uses a big data approach, where approximately 60 gigabytes worth of PDF articles have been preprocessed and analyzed using the Python programming environment and its associated data analysis libraries. Based on the results, predictions are made as to how these technologies will shape the development of Society 5.0, in addition to looking at how some of these technologies are already being used in our current society, from their use in health care, consumer gadgets, manufacturing, retail and other relevant areas of society that will be impacted by these developments. The study will then look at how our big data analysis is relevant for business leaders, educators and governmental institutions, in order to better prepare them for upcoming technological trends.