• Title/Summary/Keyword: New Leading Business

Search Result 264, Processing Time 0.03 seconds

Application of ChatGPT text extraction model in analyzing rhetorical principles of COVID-19 pandemic information on a question-and-answer community

  • Hyunwoo Moon;Beom Jun Bae;Sangwon Bae
    • International journal of advanced smart convergence
    • /
    • v.13 no.2
    • /
    • pp.205-213
    • /
    • 2024
  • This study uses a large language model (LLM) to identify Aristotle's rhetorical principles (ethos, pathos, and logos) in COVID-19 information on Naver Knowledge-iN, South Korea's leading question-and-answer community. The research analyzed the differences of these rhetorical elements in the most upvoted answers with random answers. A total of 193 answer pairs were randomly selected, with 135 pairs for training and 58 for testing. These answers were then coded in line with the rhetorical principles to refine GPT 3.5-based models. The models achieved F1 scores of .88 (ethos), .81 (pathos), and .69 (logos). Subsequent analysis of 128 new answer pairs revealed that logos, particularly factual information and logical reasoning, was more frequently used in the most upvoted answers than the random answers, whereas there were no differences in ethos and pathos between the answer groups. The results suggest that health information consumers value information including logos while ethos and pathos were not associated with consumers' preference for health information. By utilizing an LLM for the analysis of persuasive content, which has been typically conducted manually with much labor and time, this study not only demonstrates the feasibility of using an LLM for latent content but also contributes to expanding the horizon in the field of AI text extraction.

The Strategic Ambidexterity of Online Game Companies: The Exploitation and Exploration of NCsoft (온라인 게임회사의 전략적 양면성: 엔씨소프트의 활용과 탐험)

  • Bae, Joonheui;Koo, Dong Mo
    • Journal of Korea Game Society
    • /
    • v.15 no.1
    • /
    • pp.115-124
    • /
    • 2015
  • This research analyzed the case of Ncsoft to study the organizational learning, exploitation and exploration that create dynamic capability in hypercompetitive environment. First of all, we demonstrated the activities of exploitation and exploration in Ncsoft according to the life cycle of online game industry. An exploitation related to routine, learning and fit with existing environment brings about incremental innovation. In contrast, an exploration associated with non-learning, flexibility with changing environment results in radical innovation. We examined them based on the life cycle of its various game services. NCsoft that built the leading position in online game industry focused the exploitation activities at the stage of beginning period and growth, whereas NCsoft has increased the activities of exploration at period of mature. In addition, the firm conducts an exploration for its brand new game services and R&D. Conversely, An exploitation is conducted for sustainable updating of patch service and marketing and system building. The result implies that online game companies create sustainable competitive advantage using the balance between exploitation and exploration.

Trends of healthcare industry research institutes (보건산업부문 기업부설 연구소의 동향)

  • Hong Sang-Jin;Kang Tak-Lim
    • Journal of Society of Preventive Korean Medicine
    • /
    • v.6 no.1
    • /
    • pp.36-50
    • /
    • 2002
  • Health industry, a knowledge based high value-added industry, is being considered as a strategic area for the 21C and many advanced countries are making every endeavors for the promotion of health industry along with information technology, new materials, and mechatronics. Korean health industry, however, has been excluded from the governmental supports as well as bound by strict regulation so far, and there is a significant gap in technology compared with advanced countries. In 21C, technology is the main factor of national competitiveness and that is why the role of R&D institutes are so important in the high level of competition to cope with the technology protection policies of advanced countries. In this article, with Directory of Korean R&D Institutes published by Korea Industry Technology Association, I reviewed the trends of R&D institute of health industry. Main findings of the research can be summarized as follows. The portion of health industry R&D institute is 3.6% of total R&D institute but the amount of R&D investment is over than 5% This means health industry are knowledge based and R&D intensified industry, meanwhile the variations of same industry R&D institutes of health industry is huge in R&D investments and other activities. Regional distributions of health industry institutes show some kind of different patterns in each industry areas. Medical devices and Medical informatics's preference of metropolitan region are distinguished with other industry areas. Many of the institutes are located in same site of it's company rather than operating separate building for R&D specific uses. It is better for transforming ideas to products and close cooperation of research body with product lines, but it is a handicap for networking and communicating with other research institutions too. It takes 18.4yrs for bearing R&D institute on the average. For a long times 'copy products' or 'me too products' policies were easy way to maintain business entities. But recently, it is recognized that research activities are essential component of sustaining it's own business firms. This means technology itself is leading power of corporation itself in the high level of competition.

  • PDF

A Study on the Structural Relationship among Technological Determinants, Manufacturing Operations, and Performances for Implementing a Smart Factory in Small Businesses (중소 제조기업의 스마트공장 기술결정요인, 제조운영 및 성과 간 구조적 관계에 관한 연구)

  • Kwon, Se-In;Yang, Jong-Gon
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.21 no.11
    • /
    • pp.650-661
    • /
    • 2020
  • The digital transformation of the 4th industrial revolution is leading to changes and innovations in the global economy. Various countries are focusing on reviving their manufacturing industries and economic recovery through smart factories. The purpose of this study is to empirically identify technological determinants for the successful implementation of the smart factory and to verify teose effects on manufacturing operations and the firms' operational/environmental performances. Five factors, including sensor network, platform technology, information system, intelligent automation, and safety, were defined as core technologies. The SEM analysis results of 157 small and medium-sized manufacturing firms that have implemented smart factories are as follows. First, sensor network, platform technology, and information system had significant effects on smart manufacturing operations. Second, smart manufacturing operations have improved firm performance. This study is valuable in that it has confirmed the effectiveness of government-funded projects and systemized key technologies for implementing smart factories. Meanwhile, it is helpful for practitioners to support an efficient and effective decision-making for the new adoption.

Comparative Study between the Design Modifier appearing in Korea and Japan in the Overseas Licensed Fashion Magazine 『VOGUE』 (해외 라이선스 패션잡지 『VOGUE』에 나타난 디자인 수식어표현의 한일 비교 연구)

  • Yum, Haejung;Kim, Eunjung;Kim, Jiseon;Kim, Chorong;Chung, Sungsuk
    • Journal of Fashion Business
    • /
    • v.18 no.4
    • /
    • pp.45-65
    • /
    • 2014
  • The importance of the cultural identity of each country is emphasized among the new cultural paradigm of the 21st century. Leading world-wide trends, overseas licensed fashion magazines have expressed characteristics close to the culture and lifestyle of each country at the same time. The goal of this study was focused on finding out the differences and similarities between overseas licensed fashion magazine, or if the content would be compared to the aesthetic characteristics and criteria of the country they were published in. To accomplish this, we extracted the color, material and modifier from the scripts of the Korean and Japanese editions of VOGUE published during S/S in 2012 for comparative analysis of the aspects of color, fabrics and modifier between Japan and Korea. There were common but also unique characteristics, as the issues of VOGUE KOREA and VOGUE JAPAN published during the research period had modifier to fit each season and trend, the emergence of color and fabric. Especially, the kind and frequency of color, fabric and modifier could be considered as expressing their own unique fashion culture. In case of Korea, maximal with colorful and decorative image is especially strong, while in Japan the soft and gentle feminine image was rather strong.

Development and Application of an Evaluation Model for Ubiquitous City Project (U-City 사업평가모델 개발 및 활용방안)

  • Kim, Byoung-Gun;Kim, Jung-Hun;Lee, Choon-Seong
    • The Journal of Society for e-Business Studies
    • /
    • v.17 no.2
    • /
    • pp.87-104
    • /
    • 2012
  • Ubiquitous City is emerging as a new paradigm in future city development. U-City is nationwide project for future strategy to implement sustainable city environment and solve several issues in urban area. And as worldwide leading role on future city research, there are lots of U-City related researches in Government and Industry sector. However, it has raised unsustainable development concerns that indiscriminate promotion and visibility for long-term effects because it is not conducted an assessment. Thus, to overcome these problems and in order to develop a more stable U-City project, need to a fundamental consideration about U-City evaluation. This study is to provide the evaluation framework for Ubiquitous City(U-City). The framework is consisted of evaluation dimensions derived from characteristics of U-City development project. From this research, we expect it helps U-City development to be inspected and managed.

Internet of Things and Innovative Media Firms (사물인터넷과 미디어기업의 혁신)

  • Moon, Sanghyun
    • Journal of the Korea Convergence Society
    • /
    • v.10 no.6
    • /
    • pp.157-164
    • /
    • 2019
  • This research examines how IoT makes a significant contribution to the innovation of media firms. The media firms will be able to find new reveue sources and strengthen firms' competence through innovating product, process and business model. While IoT increases the experience of interactivity and immersion for consumption, it improves the way ads are exposed and its impact is measured, leading to revenue increase. For these benefits fulfilled, innovation friendly media eco-system must be established. It is the most critical that media firms should change skeptical attitude toward IoT's potential and actively invest it to employ IoT. The government should create regulatory framework to best utilize the innovative advantages of IoT.

Information Technologies of Accounting and Analysis in Modern Companies

  • Yaremenko, Liudmyla;Hevchuk, Anna;Vuzh, Tetiana;Vashchilina, Elena;Yermolaieva, Maryna
    • International Journal of Computer Science & Network Security
    • /
    • v.21 no.5
    • /
    • pp.151-159
    • /
    • 2021
  • This article addresses the issue of finding optimal solutions using the information technologies of accounting and analysis in modern companies. The aim of the study is to reveal available information technologies for the needs of small, medium and large businesses operating in modern conditions. This goal is achieved by using systematization, comparison, and analysis of information, obtained under the survey and open management statistics. For the first time, the paper systematizes up-to-date information of 2021 about the most popular programs, online services, platforms and cloud services that are used to improve accounting and analytical processes in enterprises of various sizes. The main global trends in software development in terms of COVID-19 pandemic have been identified. In particular, the study defines the countries that occupy the leading positions in the informatization of business processes. An attempt was made to classify information technologies by their use by various volume of businesses. The analysis of research results of the Internet search query frequency regarding the use of information technologies enabled to determine the most popular software products worldwide. The peculiarities of information technologies, their advantages and disadvantages were examined and the common and distinctive features were compared. It was determined that for the new enterprises to implement information technologies, it is necessary to conduct a step-by-step study of all available software products. The software evaluation algorithm was described to help select the optimal software for the specific business processes. The paper also describes the way to solve the problem of using accounting and analysis software for the businesses of a specific kind of activity.

Proposal for User-Product Attributes to Enhance Chatbot-Based Personalized Fashion Recommendation Service (챗봇 기반의 개인화 패션 추천 서비스 향상을 위한 사용자-제품 속성 제안)

  • Hyosun An;Sunghoon Kim;Yerim Choi
    • Journal of Fashion Business
    • /
    • v.27 no.3
    • /
    • pp.50-62
    • /
    • 2023
  • The e-commerce fashion market has experienced a remarkable growth, leading to an overwhelming availability of shared information and numerous choices for users. In light of this, chatbots have emerged as a promising technological solution to enhance personalized services in this context. This study aimed to develop user-product attributes for a chatbot-based personalized fashion recommendation service using big data text mining techniques. To accomplish this, over one million consumer reviews from Coupang, an e-commerce platform, were collected and analyzed using frequency analyses to identify the upper-level attributes of users and products. Attribute terms were then assigned to each user-product attribute, including user body shape (body proportion, BMI), user needs (functional, expressive, aesthetic), user TPO (time, place, occasion), product design elements (fit, color, material, detail), product size (label, measurement), and product care (laundry, maintenance). The classification of user-product attributes was found to be applicable to the knowledge graph of the Conversational Path Reasoning model. A testing environment was established to evaluate the usefulness of attributes based on real e-commerce users and purchased product information. This study is significant in proposing a new research methodology in the field of Fashion Informatics for constructing the knowledge base of a chatbot based on text mining analysis. The proposed research methodology is expected to enhance fashion technology and improve personalized fashion recommendation service and user experience with a chatbot in the e-commerce market.

Why Do Young Consumers Engage in Social Shopping? The Impact of Imitating Desire regarding Human Brand on Social Shopping Behavior (왜 우리는 소셜 쇼핑에 참여하는가? 휴먼브랜드에 대한 모방 욕구가 소셜 쇼핑 행동에 미치는 영향)

  • Woojin Choi;Ha Youn Kim
    • Journal of Fashion Business
    • /
    • v.28 no.3
    • /
    • pp.90-103
    • /
    • 2024
  • The advancement of information and communication technologies has led to the rise of social media, giving rise to a new type of celebrity known as the "social media influencer". Social media influencers exert their influence not only by promoting products for various companies and brands but also by launching their own businesses. In other words, influencers leverage their credibility to create value in multiple markets as human brands, based on their unique characteristics and diverse images. Nowadays, social media influencers have become a type of human brand, supported by followers who enthusiastically engage in the influencers' businesses, a phenomenon also known as social shopping. Based on the human brand theory and doppelgänger effects, this study aims to investigate the impact of influencers' credibility, specifically their expertise, trustworthiness, and attractiveness on consumers' social shopping behaviors. Additionally, it examines the influence of consumers' desire to imitate influencers on their social shopping behaviors. A survey conducted with 300 female social media users revealed that trustworthiness and attractiveness significantly influenced imitation intentions and social shopping behaviors, while expertise did not show significant effects. Furthermore, imitation intentions had a significant impact on social shopping behaviors. These findings suggest that the attributes consumers perceive in influencers as human brands evoke a desire to imitate them, ultimately leading to social shopping behaviors.