Distracted driving poses a significant and widespread threat to road safety, resulting in severe accidents and loss of lives. Detecting driver distraction promptly is imperative for enhancing road safety. While variou...
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the WHO declaration of PHEIC on January 30, 2020, concluded on May 5, 2023, marking a span of more than three years. there was a notable decline in the perceived risk associated with COVID-19 in Japan, leading to the ...
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Withthe rise of digital economy, data has become a new factor of production. Based on data from A-share Chinese cloud computing listed firms, this study examined the nexus between using data factors and corporate inn...
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ISBN:
(纸本)9781665455336
Withthe rise of digital economy, data has become a new factor of production. Based on data from A-share Chinese cloud computing listed firms, this study examined the nexus between using data factors and corporate innovation. Empirical evidence indicates that cloud computing listed firms have significantly increased their innovation performance in the process of using data factors, and this conclusion is still valid after a series of robust analyses. the rational use of data factors in daily business activities can help firms learn and apply external knowledge and technology. these findings provide useful policy implications for promoting the integration of data factors and corporate development to spur vitality of market entities at a micro level.
In recent years, government-led 'work style reform' has been promoted, and the teleworking style of work has been attracting attention. In particular, the spread of COVID-19 infection in 2020 has led to the ra...
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ISBN:
(纸本)9798350394191
In recent years, government-led 'work style reform' has been promoted, and the teleworking style of work has been attracting attention. In particular, the spread of COVID-19 infection in 2020 has led to the rapid spread of telework. the spread of teleworking has led to a shift to paperless and web conferencing, and the risk of information security has increased due to the location-independent work style. In particular, unlike the face-to-face environment of an office, the telework environment poses psychological risks such as loneliness due to lack of communication. this paper clarifies information security fatigue in a telework environment based on previous research on security fatigue in a face-to-face environment that also considers such psychological aspects, and proposes countermeasures against it. First, we designed a questionnaire that took into account the telework environment based on the questionnaire survey of a previous study, and conducted a questionnaire survey using a web-based questionnaire. Considering the impact of COVID-19, a questionnaire survey was conducted twice, once in December 2020 at the early stage of COVID-19 expansion and once in January 2023 after COVID-19 establishment, both times targeting approximately 500 Japanese teleworkers. the results of these surveys showed that the security fatigue scale in the telework environment was similar to the information security fatigue results in the face-to-face environment of the previous study, with approximately 20% in the ideal state. In other words, security fatigue was found to be the same in a telework environment as in a face-to-face environment. Furthermore, the results of the analysis of the open-ended responses to the questionnaire survey showed similar trends to those indicated in previous studies. As a result of these findings, it was clarified that countermeasures such as 'implementation of education to arouse awareness of the concerned parties' and 'interviews regarding information s
In the era of bigdata, it is indispensable to apply datascience and technology for bigdata analysis to solve the bigdata problems. Withthe advancement of the bigdata technologies, we are also facing many problem...
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ISBN:
(纸本)9781665455336
In the era of bigdata, it is indispensable to apply datascience and technology for bigdata analysis to solve the bigdata problems. Withthe advancement of the bigdata technologies, we are also facing many problems when dealing withthe bigdata and their studies. It is obvious that bigdata become "bigger" and "bigger", more complex than before, with a good number of attributes and features in various formats and styles. On the other hand, many data analysis techniques have been proposed for various application domain problems in different purposes. this worsens the situation of choosing an appropriate method for a right problem of right data. In this paper, the author intends to propose an approximation approach toward this problem, through discussing the ways of identification of patterns of the original data, be they of data features or analysis methods. the author attempts to apply the idea to a case of fault detection of a household photovoltaic system.
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