• Journal of the Korean Society of Clothing and Textiles
• /
• v.42 no.1
• /
• pp.148-158
• /
• 2018

This study analyzes recent trends in fashion retailing instigated by the fourth industrial revolution and approaches the trends in terms of the convergence of big data and artificial intelligence. The findings are as below. First, companies like 'Edited' and 'Stylumia' offer solutions that support the strategic decisions of fashion brands and fashion retailers by analyzing big data using artificial intelligence. Second, the convergence of big data and artificial intelligence scales personalized service on the web as examples of 'Coded Couture', 'StitchFix', and 'Thread'. Third, the insights gained from artificial intelligence and big data help create new fashion retailing platforms such as 'Botshop' and 'Lyst'. Last, artificial intelligence and big data assist with design. 'Ivyrevel' designs digital fashion, assisted by a macroscopic perspective on fashion trends, market and consumers through the analysis of big data. The Fourth Industrial Revolution brings changes across all industries that will likely accelerate. The fashion industry is also undergoing many changes with advancements in scientific technology. The convergence of big data and artificial intelligence will play a key role in the future of fast-moving industry like fashion, where fickle tastes of consumers are the main drivers.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2023.01a
• /
• pp.469-471
• /
• 2023

본 논문에서는 기존 중고거래 플랫폼들의 불편한 점들을 해소하고 사용자들이 효율적이고 편리한 중고거래를 할 수 있도록 도와주는 플랫폼을 개발했다. 조사를 통해 기존 중고거래 플랫폼은 허위 매물, 시세 파악의 어려움, 사기 피해 등의 문제점이 존재한다는 사실을 인식했다. 문제 해결을 위해 파이썬을 활용하여 주요 중고거래 플랫폼의 상품 데이터를 수집했다. 이에 IQR을 적용하여 가격의 이상치를 판별했다. 가격 비교와 허위 매물 판별이 용이하게 되는 장점이 있다. 또한 이상치를 제거한 상품들의 시세를 계산하여 데이터를 차트로 시각화했다. 플랫폼과 지역마다 상이한 중고 상품의 신뢰성 있는 시세를 파악할 수 있고 중고거래 사기 피해를 방지할 수 있도록 사용자에게 주요 사기 수법, 뉴스 등의 정보를 제공한다.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.18 no.6
• /
• pp.1518-1539
• /
• 2024

Artificial intelligence-enabled business models aim to improve decision-making, operational efficiency, innovation, and productivity. The presented systematic literature review is conducted to highlight elucidating the utilization of artificial intelligence (AI) methods and techniques within AI-enabled businesses, the significance and functions of AI-enabled organizational models and frameworks, and the design parameters employed in academic research studies within the AI-enabled business domain. We reviewed 39 empirical studies that were published between 2010 and 2023. The studies that were chosen are classified based on the artificial intelligence business technique, empirical research design, and SLR search protocol criteria. According to the findings, machine learning and artificial intelligence were reported as popular methods used for business process modelling in 19% of the studies. Healthcare was the most experimented business domain used for empirical evaluation in 28% of the primary research. The most common reason for using artificial intelligence in businesses was to improve business intelligence. 51% of main studies claimed to have been carried out as experiments. 53% of the research followed experimental guidelines and were repeatable. For the design of business process modelling, eighteen AI mythology were discovered, as well as seven types of AI modelling goals and principles for organisations. For AI-enabled business models, safety, security, and privacy are key concerns in society. The growth of AI is influencing novel forms of business.

• Korean Journal of Radiology
• /
• v.25 no.2
• /
• pp.123-125
• /
• 2024

• Clinical Endoscopy
• /
• v.56 no.1
• /
• pp.14-22
• /
• 2023

Barrett's esophagus is associated with an increased risk of adenocarcinoma. Thorough screening during endoscopic surveillance is crucial to improve patient prognosis. Detecting and characterizing dysplastic or neoplastic Barrett's esophagus during routine endoscopy are challenging, even for expert endoscopists. Artificial intelligence-based clinical decision support systems have been developed to provide additional assistance to physicians performing diagnostic and therapeutic gastrointestinal endoscopy. In this article, we review the current role of artificial intelligence in the management of Barrett's esophagus and elaborate on potential artificial intelligence in the future.

• Journal of Gifted/Talented Education
• /
• v.23 no.3
• /
• pp.479-499
• /
• 2013

The purpose of this study is to examine the effects of Mother's Child-Rearing Attitudes on young children intelligence, multiple intelligences and emotional intelligence. In order to achieve the purpose of the study, 215 children and their mothers and teachers of children 15 were investigated. Data analysis, correlation analysis and regression analysis were conducted to analyze the mother's Child-Rearing Attitudes and the relationship between the young children's intelligence and multiple intelligences and emotional intelligence. The results of this study and the conclusions obtained through the discussion are as follows: First, the relationship between the mother's child-rearing attitudes and intelligence, multiple intelligences, on the other hand, showed a high correlation relationship between the mother's child-rearing attitudes and emotional intelligence and appeared to be correlated with low. Second, the rejective attitude and autonomous attitude variables that best explain the entire intelligence and multiple intelligence of young children, the affectionate attitude and autonomous attitude, the young children's the entire emotional intelligence best explain the factors. These results in the development of intelligence, multiple intelligence, emotional intelligence, affectionate attitude depending on the situation, autonomous attitude shows rejective attitude avoiding uniform, certain attitudes, rather than to show the mother's Child-Rearing Attitudes desirable that suggests.

• Knowledge Management Research
• /
• v.19 no.3
• /
• pp.173-187
• /
• 2018

This study was aimed at suggesting an integrative framework for creating collective intelligence and enhancing group performance after reviewing previous studies including those related to learning organizations, organizational learning, knowledge management, and collective intelligence. In the first, we examined that the similarities and differences between collective intelligence and other similar concepts, such as learning organizations, organizational learning, and knowledge management. Next, an integrative framework for creating collective intelligence and channeling it into strong group performance were suggested. In this process, we reviewed conditions for creating collective intelligence and segmented the major variables as expectancy, valence, and instrumentality, according to Vroom's (1964) expectancy theory. Characteristics of problems and the roles of leaders were respectively considered as valence for inducing collaboration and expectancy for managing probability to achieve goals. Instrumental factors were also adopted from conditions for creating group intelligence suggested from several researchers, such as creativity, openness, willingness for working together, horizontal communication, centralization in decision making, and building effective information and communication technology system and active usage of it. We discussed two potentially disputable matters about the scope and level of collective intelligence and group performance and suggest several theoretical and practical implications in the Discussion.

• Journal of muscle and joint health
• /
• v.22 no.3
• /
• pp.185-194
• /
• 2015

Purpose: The purpose of this study is to determine the mediator or moderator effect of clinical nurses' emotional intelligence on the relationship between the emotional labor and psychological well-being. Methods: Data was collected from 240 nurses in tertiary hospitals located in B city using structured questionnaires. Data was analyzed with descriptive statistics, Pearson's correlation coefficient and hierarchical multiple regression using the SPSS program. Results: Clinical nurses' emotional intelligence had a significant correlation with emotional labor (r=-.13, p=.039) and psychological well-being (r=.52, p<.001). Also, clinical nurses' emotional intelligence showed mediating effects between the emotional labor and psychological well-being. However, emotional intelligence did not show moderating effects. Conclusion: The results of this study show that the clinical nurses' emotional intelligence has an important influence on nurses' emotional labor and psychological well-being. This finding points to the importance of emotional intelligence to increase psychological well-being and suggests that the hospital should develop education and training programs to enhance nurses' emotional intelligence and promote clinical nurses' psychological well-being.

• Korean Journal of Cognitive Science
• /
• v.15 no.4
• /
• pp.61-66
• /
• 2004

I think constructivism can be considered as the new count proposal for understanding human to Cartesian rationalism. Constructivism has the common area not only with recent results of evolutionary biology, evolutionary psychology. brain science, system theory, and complex adaptive system but also with recent trends of humanities, and social science. In artificial intelligence, the studies which can be considered as constructivistic methods is going on. In this paper, from a constructivistic pint of view, to broaden the concept of intelligence in artificial intelligenve, I will examine constructivistic methodologies to intelligent machine and look about the artificial intelligence techniques which are constructivistic. Throughout such a discussion I want to promote the integral understanding of various kinds of mind theories and techniques, and pave the way of general intelligence in artificial intelligence.

• Journal of Digital Convergence
• /
• v.9 no.2
• /
• pp.53-63
• /
• 2011

In connection with each other through social networks, individuals share valuable knowledge and information. Furthermore the knowledge and information based on the collective intelligence is growing. Collective intelligence with more peoples will grow by gathering intelligence to enhance the collective intelligence. This study investigates the collective intelligence using business management game, and observes forming process of collective intelligence. To achieve the objective to observe the forming process of collective intelligence, only the test subjects available were exposed to the Corporate Management Game with SNS space. During the experimentation, the interaction and feedback were observed. The results of the study show that different performance, feedback and interaction for each group.