Market Quality Approach to IoT Data on Blockchain Big Data

Pu, Steven; Yano, Makoto

doi:10.1007/978-981-15-3376-1_2

Cited by 7 publications

(11 citation statements)

References 11 publications

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“…In the domain of the transition to Society 5.0, big data represent an important fulcrum [10,12,77,94,95], together with other Industry 4.0 enabling technologies (e.g., AI and IoT).…”

Section: Big Data: Some Essential Insightsmentioning

confidence: 99%

“…Indeed, as Pu and Yano [94] state: "in Society 5.0, a huge amount of information from sensors in physical space is accumulated in cyberspace. In cyberspace, Big Data is analysed by artificial intelligence (AI), and the analysis results are fed back to humans in physical space in various forms [ .…”

Section: Big Data: Some Essential Insightsmentioning

confidence: 99%

“…This division into two areas means understanding how enabling technologies, beginning with big data, through the intervention of AI and IoT, allow for the conversion of information into concrete interventions on society in general, thus passing from a purely virtual environment (cyberspace) to a real and everyday life environment (physical space). In this view, IoT represents the concrete link between cyberspace and physical space [94], and in particular, it operates in the so-called cyber-physical systems (CPS) domain [102].…”

Section: Basic Foundations Of the Modelmentioning

confidence: 99%

“…In the proposed model, big data represent the starting point, the enabling technology of Industry 4.0 on which the transition to Society 5.0 is based. Indeed, without big data, there could be no conjunction between cyberspace and physical space made concrete by AI, and above all, IoT [94,95]. At the same time, it would not be possible to implement OI processes, and consequently value co-creation for firms and for society as a whole, without reliable data [99], which must be correctly collected, elaborated, and made available through the IoT.…”

Section: The Interplay Between the Mentioned Models And Bigmentioning

confidence: 99%

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The Role of Open Innovation and Value Co-creation in the Challenging Transition from Industry 4.0 to Society 5.0: Toward a Theoretical Framework

et al. 2020

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Advanced manufacturing solutions, augmented reality, and cloud and big data are technologies pertaining to Industry 4.0. These technologies improve working conditions, create new business models, and increase both productivity and firm quality production. However, they can also improve life and society as a whole. This new perspective, oriented toward social and global well-being, is called Society 5.0. As has happened for all past industrial revolutions, Industry 4.0 will support the transition to a different society, i.e., Society 5.0. In this transition, open innovation and value co-creation can play an important role. The aim of the study was twofold: to examine how Industry 4.0 features and enabling technologies can support the transition to Society 5.0 and to investigate the roles of both open innovation and value co-creation within this transition. A conceptual framework was developed to jointly consider for the first time Industry 4.0, Society 5.0, open innovation, and value co-creation, which are all challenging issues that firms must cope with nowadays. Managers could profit from these insights to design ad hoc strategies in order to benefit from the opportunities emerging from this transition and overcome the main related challenges.

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“…In the domain of the transition to Society 5.0, big data represent an important fulcrum [10,12,77,94,95], together with other Industry 4.0 enabling technologies (e.g., AI and IoT).…”

Section: Big Data: Some Essential Insightsmentioning

confidence: 99%

Section: Big Data: Some Essential Insightsmentioning

confidence: 99%

Section: Basic Foundations Of the Modelmentioning

confidence: 99%

Section: The Interplay Between the Mentioned Models And Bigmentioning

confidence: 99%

See 2 more Smart Citations

The Role of Open Innovation and Value Co-creation in the Challenging Transition from Industry 4.0 to Society 5.0: Toward a Theoretical Framework

et al. 2020

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“…For an analysis on the peril of such data monopoly in a broader context, see,Pu and Yano (2020) and.…”

mentioning

confidence: 99%

Sharing of Research Data by Blockchain

Dai

Chigusa²,

Yano

2021

Economics, Law, and Institutions in Asia Pacific

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This study investigates the new method of sharing research data by a blockchain. We focus on the sharing not only among researchers but also between a group of researchers and test subjects from whom researchers collect data. To explain the use of blockchain technology, we explain the use of blockchain in securely handling research data in comparison with a simple real-world use case. IntroductionDate sharing is one important issue faced by researchers building data covering both human health and behaviour. By data sharing, we do not simply mean the sharing of data among researchers, which is obviously highly important for us researchers. However, more important is the sharing of data between researchers and survey subjects. The latter issue would become sensitive when we deal with serious illness from which a person wants to hide the fact that he suffers or a person who can spread to others. In Japan, there remains serious social stigma attached to certain diseases. At the beginning of the COVID-19 outbreak, in Japan, those contracted Sars-Cov-2 were ostracized in certain traditional regions. Even if such a stigma is not attached to contraction of a disease, losing private data and misinforming subjects of wrong test results could be intolerable for test subjects. In these circumstances, there can be a strong hesitancy on the side of a data builder to inform test subjects a result of the test.

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