How Society 5.0 and Industry 4.0 Ideas Shape the Open Data Performance Expectancy

The role of Society 5.0 in achieving sustainable development: a spherical fuzzy set approach

Society 5.0 promotes the use of artificial intelligence in human life and the return of humanity to the center of the world. Society 5.0 seeks to achieve economic growth while overcoming social and environmental challenges, contributing to the welfare of the global community. The purpose of this study is to explore how digital transformations introduced by Society 5.0 can contribute to the realization of sustainable development? To answer this question, the study primarily used the systematic literature review method to identify the dimensions and indicators that would quantify the role of Society 5.0 in achieving sustainable development. Then, the study utilized the total interpretive structural modeling (TISM) method to construct the conceptual model. Through spherical fuzzy analytical hierarchy process (SF-AHP) and spherical fuzzy decision-making trial and evaluation laboratory (SF-DEMATEL), the importance and influence of the indicators were determined. The results revealed that the most important indicators were "super-smart society" and "implementing circular economy to decrease environmental waste." The novelty of this research can be found in its application of the spherical fuzzy approach to examine the impacts of Society 5.0 smart technologies on achieving sustainable development, by addressing five major dimensions (governmental, economic, social, environmental, and technological). The findings could help managers to more effectively respond to the challenges of sustainable development by relying on Society 5.0.

Exploring the Quality of Dynamic Open Government Data Using Statistical and Machine Learning Methods

Dynamic data (including environmental, traffic, and sensor data) were recently recognized as an important part of Open Government Data (OGD). Although these data are of vital importance in the development of data intelligence applications, such as business applications that exploit traffic data to predict traffic demand, they are prone to data quality errors produced by, e.g., failures of sensors and network faults. This paper explores the quality of Dynamic Open Government Data. To that end, a single case is studied using traffic data from the official Greek OGD portal. The portal uses an Application Programming Interface (API), which is essential for effective dynamic data dissemination. Our research approach includes assessing data quality using statistical and machine learning methods to detect missing values and anomalies. Traffic flow-speed correlation analysis, seasonal-trend decomposition, and unsupervised isolation Forest (iForest) are used to detect anomalies. iForest anomalies are classified as sensor faults and unusual traffic conditions. The iForest algorithm is also trained on additional features, and the model is explained using explainable artificial intelligence. There are 20.16% missing traffic observations, and 50% of the sensors have 15.5% to 33.43% missing values. The average percent of anomalies per sensor is 71.1%, with only a few sensors having less than 10% anomalies. Seasonal-trend decomposition detected 12.6% anomalies in the data of these sensors, and iForest 11.6%, with very few overlaps. To the authors' knowledge, this is the first time a study has explored the quality of dynamic OGD.

Knowledge Management in Society 5.0: A Sustainability Perspective

Organizations require the means to navigate Society 5.0. This is a knowledge-intensive society where a sustainable balance must be created for social good through a system that integrates cyberspace and physical space. With significant data, information and insight exchange based on knowledge in people and machines, organizations need to make sense of the notion that knowledge assets are the central structuring elements for sustainable development. By considering the key aspects of knowledge management (KM) in Society 5.0 as they relate to sustainable development, organizations may leverage their KM capability and learning agility to successfully address the unique requirements of the new society, environment and goals for sustainable development. In this research, automated content analysis was applied to identify key KM aspects using the Leximancer software. A total of 252 academic papers were analyzed, identifying 10 themes related to key KM concepts in Society 5.0 as they pertain to sustainability. The KM concepts identified were described and mapped to the sustainability triple bottom line. They comprised three primary and three intersecting dimensions, i.e., the environment (planet), society (people) and economic performance (profit) in the socio-economic, eco-efficiency and socio-environmental domains. The most significant themes included “knowledge”, “human”, “companies”, “information” and “system”. Secondary themes included “innovation”, “development”, “resources”, “social” and “change”.

The Success of Information Systems and Sustainable Information Society: Measuring the Implementation of a Village Financial System

The purpose of this study is to advance the information society literature research by examining and developing the adoption of information systems within the Village Financial System (SISKEUDES) to improve the sustainable information society (SIS). The models include the DeLone and McLean model and trust theory, which involves eight variables: system information quality, information quality, service quality, trust in government organizations, trust in technology, usage, user satisfaction, net benefits, and sustainable information society. A survey questionnaire was used, and data was collected from SISKEUDES users in Bali, Indonesia, which were statistically analyzed using Partial Least Square (PLS) to understand the phenomena of Information System (IS) adoption and sustainable information society. The research findings reveal that system information quality, information quality, and trust in technology have a significant impact on usage and user satisfaction, whereas service quality and trust in government organizations do not have such an effect. The usage and user satisfaction variables have a significant effect on net benefits, and they have a significant effect on the sustainability of the SIS. This study’s findings can provide e-government practitioners with deeper insights into how to overcome problems with user satisfaction and increase trust in mandatory e-government services in realizing SIS and the “smart village”.

Cloud Computing, Big Data, and Blockchain Technology Adoption in ERP Implementation Methodology

The aim of the paper is to present the new factors of ERP (Enterprise Resource Planning system) implementation related to the usage of cloud-based and blockchain information technology and to discover potential possibilities of using cloud computing, big data, and blockchain technologies in the methodology of ERP implementation. The article covers the characteristics of the current implementation methodologies and also discusses how these technologies can be adopted in the implementation process. During the study, a literature review was carried out and survey-based interviews with project managers were performed. Previous studies examined in the literature review have some limitations. Most of them are focused on ERP performance in the cloud or measure success factors of ERP implementation. A research gap exists regarding the impact of technologies in the implementation process and the results of this process. The research shed some light on cloud computing and blockchain in ERP implementation. The conclusions are as follows: (1) Some methods of sustainable methods of ERP implementation with the use of cloud technologies, blockchain, and big data have been examined in research studies, but there is still a lack of publications with in-depth analyses of the impact of blockchain on ERP implementation success. (2) The practitioners recommended the new technologies based on cloud computing and big data in the process of ERP implementation, and more knowledge about blockchain would have a positive impact on the success of sustainable ERP implementation as well as on the willingness to adopt the new technologies.

Sharing Economies’ Initiatives in Municipal Authorities’ Perspective: Research Evidence from Poland in the Context of Smart Cities’ Development

The emergence and dynamic development of the sharing economy as a socio-economic phenomenon was triggered by the subprime crisis of 2007–2009 and the consequent need to rationalize the use of resources. Cities (especially those generally recognized as a Smart City) have become a natural environment for the sharing economy, due to the spatial accumulation of both potential users and available goods and services. Adopting the point of view that urban conditions are advantageous for the development of the SE, the authors of the article assess the scope of implementation of solutions typical for the sharing economy and the scale of support of municipal authorities for their implementation in 287 Polish cities. For this purpose, they use representative surveys carried out in January 2020. When analyzing the results, they consider the following aspects of a sharing economy: carpooling, coworking, co-housing, room sharing, couch surfing clothes swap/toy swap and crowdfunding. In their research, they also identify relationships between the degree of development of the sharing economy in Polish cities and their size (expressed as the number of inhabitants) and wealth (expressed as the level of budget revenues per capita), trying to answer the question asked in the title: how do cities use and support sharing economy initiatives? The research results indicate a low level of SE development in Polish cities and a low involvement of municipal authorities in supporting this development. Individual forms of SE function best in large cities that have successfully aspired to be smart for many years. In other administrative units, the obstacle to the development of the SE is probably the low availability and quality of free housing resources and the reluctance to share, resulting from reluctance in a centrally planned economy related to the non-market allocation of goods and services and the associated strong attachment to private property.

Social Media in Sustainable Tourism Recovery

In the light of the COVID-19 pandemic, it is crucial to manage tourist destinations to allow the recovery of tourism on the one hand and reduce its negative impact on the environment and the local community on the other. Information provided via social media (SM) by both residents and tourists can help restart tourism. This paper identifies ways of sharing travel experiences by tourists on social media. The research was conducted in Poland on a sample of 271 respondents from each generation using questionnaires. Results showed that the way tourists use SM during and after their trip differs by generation and gender what could be used in promoting responsible behaviour for sustainable tourism. Differences between generations can be observed in behaviours such as ongoing planning the trip, obtaining information about the place to stay, keeping a photo album for friends, and writing reviews. Moreover, more often than men, women use SM to obtain information about the place of stay and share their impressions of the trip by sending MMS or emails. Tracking tourists’ travel behaviour on social media will allow city managers to gather information and respond to their needs and expectations and ensure effective urban management and city promotion.

Innovation Trajectories for a Society 5.0

Big Data, the Internet of Things, and robotic and augmented realities are just some of the technologies that belong to Industry 4.0. These technologies improve working conditions and increase productivity and the quality of industry production. However, they can also improve life and society as a whole. A new perspective is oriented towards social well-being and it is called Society 5.0. Industry 4.0 supports the transition to the new society, but other drivers are also needed. To guide the transition, it is necessary to identify the enabling factors that integrate Industry 4.0. A conceptual framework was developed in which these factors were identified through a literature review and the analytical hierarchy process (AHP) methodology. Furthermore, the way in which they relate was evaluated with the help of the interpretive structural modeling (ISM) methodology. The proposed framework fills a research gap, which has not yet consolidated a strategy that includes all aspects of Society 5.0. As a result, the main driver, in addition to technology, is international politics.

Smarter Open Government Data for Society 5.0: Are Your Open Data Smart Enough?

Nowadays, governments launch open government data (OGD) portals that provide data that can be accessed and used by everyone for their own needs. Although the potential economic value of open (government) data is assessed in millions and billions, not all open data are reused. Moreover, the open (government) data initiative as well as users' intent for open (government) data are changing continuously and today, in line with IoT and smart city trends, real-time data and sensor-generated data have higher interest for users. These "smarter" open (government) data are also considered to be one of the crucial drivers for the sustainable economy, and might have an impact on information and communication technology (ICT) innovation and become a creativity bridge in developing a new ecosystem in Industry 4.0 and Society 5.0. The paper inspects OGD portals of 60 countries in order to understand the correspondence of their content to the Society 5.0 expectations. The paper provides a report on how much countries provide these data, focusing on some open (government) data success facilitating factors for both the portal in general and data sets of interest in particular. The presence of "smarter" data, their level of accessibility, availability, currency and timeliness, as well as support for users, are analyzed. The list of most competitive countries by data category are provided. This makes it possible to understand which OGD portals react to users' needs, Industry 4.0 and Society 5.0 request the opening and updating of data for their further potential reuse, which is essential in the digital data-driven world.

The Idea of Corporate Social Responsibility in the Opinion of Future Managers—Comparative Research between Poland and Georgia

The article deals with the issue of corporate social responsibility (CSR) in the awareness of economics students as future managers responsible for the implementation of this idea in enterprises. Due to the fact that CSR is a source of many innovations today, the aim of the research was to learn about the awareness and opinions of students about CSR on such issues as: reasons for implementation, main activities, impact on profitability, and the need to explore and assess the usefulness of this knowledge. The research was conducted in 2019 among students from Poland and Georgia (as countries at various stages of advancement in the market economy). The results of the research were statistically analyzed in terms of obtaining answers to the hypotheses and research questions, checking the significance of differences in the answers due to nationality, and additionally, gender (chi-square test and test for two proportions). The primary contribution of this study is an exploration of the views of students on various issues of CSR and sustainability. The results showed that—according to students—ethical values, increased consumer awareness, and the desire to gain a competitive advantage are the most common reasons for the implementation of the CSR concept by companies. The vast majority of respondents indicated the need to enrich the knowledge of business ethics as an important aspect shaping the attitudes of employers and employees. The positive attitude of students regarding the impact of CSR on the company’s profitability was confirmed, although the authors expected more unambiguous results. Differences were also distinguished between the responses of students from both countries on some issues, such as: opinions on the developing ethical sensitivity, the need for the credibility of the EU economic policy, ecology and relations with the local community, as well as relations with the closest stakeholders of companies. The results of the conducted research suggest the need for intense activity in the field of public awareness and the requirement of personnel training for the skilful implementation of CSR principles in enterprises.