• Title/Summary/Keyword: personalization

Search Result 605, Processing Time 0.029 seconds

An Exploratory Study on Contactless Digital Economy: the Characteristics, Regulatory Issues and Resolutions (비대면 디지털 경제에 대한 탐색적 연구: 특성, 규제쟁점 및 개선방안을 중심으로)

  • Shim, Woohyun;Won, Soh-Yeon;Lee, Jonghan
    • Informatization Policy
    • /
    • v.29 no.2
    • /
    • pp.66-90
    • /
    • 2022
  • The radical digital transformation and development of the contactless digital economy in the wake of the COVID-19 pandemic are increasing the need to solve various problems such as conflicts of interest among market participants and delays in related laws and regulations. This study investigates the concept and characteristics of the contactless digital economy and identifies the related regulatory issues and resolutions through literature review, news article analysis, and expert interviews. From the literature review, it is identified that the contactless digital economy has eight hyper-innovation characteristics: hyper-intelligence, hyper-connectivity, hyper-convergence, hyper-personalization, hyper-automation, hyper-precision, hyper-diversity, and hyper-trust. From news article analyses and expert interviews, this study identifies various regulatory issues, such as competition between incumbents and new entrants, the collision of constitutional rights, collision of social values, conflict between market participants, absence of laws and regulations, and existence of excessive market power, and then proposes a series of resolutions.

Lifelog Analysis and Future using Artificial Intelligence in Healthcare (헬스케어에서 인공지능을 활용한 라이프로그 분석과 미래)

  • Park, Minseo
    • The Journal of the Convergence on Culture Technology
    • /
    • v.8 no.2
    • /
    • pp.1-6
    • /
    • 2022
  • Lifelog is a digital record of an individual collected from various digital sensors, and includes activity amount, sleep information, weight change, body mass, muscle mass, fat mass, etc. Recently, as wearable devices have become common, a lot of high-quality lifelog data is being produced. Lifelog data shows the state of an individual's body, and can be used not only for individual health care, but also for causes and treatment of diseases. However, at present, AI/ML-based correlation analysis and personalization are not reflected. It is only at the level of presenting simple records or fragmentary statistics. Therefore, in this paper, the correlation/relationship between lifelog data and disease, and AI/ML technology inside lifelog data are examined, and furthermore, a lifelog data analysis process based on AI/ML is proposed. The analysis process is demonstrated with the data collected in the actual Galaxy Watch. Finally, we propose a future convergence service roadmap including lifelog data, diet, health information, and disease information.

A Study on the Intention to Use MyData Service based on Open Banking (오픈뱅킹 기반의 마이데이터 서비스 이용의도에 관한 연구)

  • Lee, Jongsub;Choi, Jaeseob;Choi, Jeongil
    • Journal of Information Technology Services
    • /
    • v.21 no.1
    • /
    • pp.1-19
    • /
    • 2022
  • With the revision of the Credit Information Use and Protection Act in August 2020, the MyData service based on open banking policy will take effect in January 2022. Nonetheless, the previous studies focused on the legal system or security-related issues of such service. Therefore, this paper conducted an empirical study on financial consumers aged 20 or older nationwide to analyze the factors which influence the intention to use MyData services based on open banking. Five characteristics representing open banking-based MyData service were derived through prior research, and a research model that combined value-based adoption model and privacy calculus theory was presented. The proposed research model and the relationship of its variables was analyzed using a sample of 400 users that is randomly selected. The results of empirical analysis showed that personalization had the greatest influence on benefits and reliability on sacrifice among service characteristics. They also suggested that MyData operators should devote themselves to providing customized services optimized for customers and establishing trust relationships. It was confirmed that both usefulness and enjoyment had a great influence on perceived value, and in terms of sacrifice, the burden of financial costs had a greater influence than privacy concerns. This study is meaningful in that it explored the psychological propensity of financial consumers to identify service utilization factors and presented a new approach that can contribute to the successful settlement of the domestic MyData industry.

Educational Implications of the Use of 'a gente' in Portuguese (포르투갈어 a gente 사용의 교육적 의미)

  • Kim, Han-Chul
    • Iberoamérica
    • /
    • v.23 no.1
    • /
    • pp.1-31
    • /
    • 2021
  • The main purpose of this study is to examine the use of 'a gente' in Portuguese, and to discuss what to consider educationally. We examined the origin and style of 'a gente', grammaticalization process phase, personalization level, and variations in use in terms of linguistic and social aspects, and confirmed that 'a gente' is showing an increasingly high frequency of use in Brazil. And in order to find educational considerations, we observed how 'a gente' was handled in Portuguese textbooks for foreigners, and analyzed data obtained through interviews with three Korean students studying Portuguese in Brazil. Considering the importance and frequency of use of 'a gente', which is used in the third-person singular form, the section about 'a gente' in grammar and textbooks seems to be very insufficient. Therefore, the contents of textbooks that do not correspond to the actual use of language should be actively revised according to changes in the reality of language use. In addition, the instructor should not be bound by traditional use, but must include 'a gente' in the personal pronoun section of the textbook for efficient education, and actively reflect the more practical usage to educate.

Shopping on Fashion Vertical Platforms: The Mediating Effect of Platform Satisfaction and The Moderating Effect of Consumer Innovativeness (패션 버티컬 플랫폼 쇼핑: 플랫폼 만족의 매개효과와 소비자 혁신성의 조절효과)

  • Yu Ju Sung;Kyu Hye Lee
    • Journal of Fashion Business
    • /
    • v.27 no.4
    • /
    • pp.38-49
    • /
    • 2023
  • Fashion vertical platforms offer various content and events to consumers and have established a strong customer base. Especially, they cater to the sensibilities of young customers. This study analyzed the characteristics of a sensuous fashion vertical platform, which enhances expertise and provides customized services. In addition, this study aimed to find out whether consumer innovation modulates the relationship between fashion vertical platform, platform satisfaction, and continuous shopping intention. An online survey was conducted targeting consumers in their 20s and 30s who had experience using fashion vertical platforms, and 222 samples were analyzed. Factor analysis and structural equation model were analyzed using the SPSS 29.0 and Smart-PLS. Smart-PLS analysis results showed that exclusivity, convenience and informativeness did not directly affect continuous shopping intention but showed a complete mediating effect through platform satisfaction. Both the high and low innovative groups demonstrated significant effects of exclusivity on platform satisfaction, and platform satisfaction showed significant effects on continuous shopping intention. A high level of innovation among the consumers showed significant mediating effects on exclusivity, personalization, and continuous shopping intention, as reflected by information on platform satisfaction, and low level of innovation among the consumers showed significant effect on convenience. This study's findings highlight the importance of enhancing exclusivity, convenience, informativeness, and esthetics in fashion vertical platforms, and improving platform satisfaction. These findings will be used to develop marketing strategies that can lead to continuous shopping intentions and provide opportunities for the industry.

Personalized Size Recommender System for Online Apparel Shopping: A Collaborative Filtering Approach

  • Dongwon Lee
    • Journal of the Korea Society of Computer and Information
    • /
    • v.28 no.8
    • /
    • pp.39-48
    • /
    • 2023
  • This study was conducted to provide a solution to the problem of sizing errors occurring in online purchases due to discrepancies and non-standardization in clothing sizes. This paper discusses an implementation approach for a machine learning-based recommender system capable of providing personalized sizes to online consumers. We trained multiple validated collaborative filtering algorithms including Non-Negative Matrix Factorization (NMF), Singular Value Decomposition (SVD), k-Nearest Neighbors (KNN), and Co-Clustering using purchasing data derived from online commerce and compared their performance. As a result of the study, we were able to confirm that the NMF algorithm showed superior performance compared to other algorithms. Despite the characteristic of purchase data that includes multiple buyers using the same account, the proposed model demonstrated sufficient accuracy. The findings of this study are expected to contribute to reducing the return rate due to sizing errors and improving the customer experience on e-commerce platforms.

A Study on the Factors Affecting the Continuous Intention to Use Digital Content Over-the-Top Service (디지털콘텐츠 OTT서비스의 지속사용의도에 영향을 미치는 주요 요인에 관한 연구)

  • An, Sunju;Seo, Jay;Choi, Jeongil
    • Journal of Korean Society for Quality Management
    • /
    • v.50 no.1
    • /
    • pp.105-124
    • /
    • 2022
  • Purpose: The purpose of this study is to examine the factors that influence the pre-use expectation and the continuous usage intention of the OTT services. Methods: For empirical analysis, the survey for this study was administered with many anonymous people who had previously used any of the OTT services and valid 192 data were analyzed by SPSS and PLS-SEM. Results: The results of this study are as follows. Personalization and understandability in the information quality didn't significantly affect confirmation. Ease of use and search of the system quality significantly affected confirmation. Also, it was found that content diversity, content recency, and content playfulness as the characteristics of the content quality significantly affected the expectation confirmation. OTT service fees also significantly affected the expectation confirmation. It also significantly affected perceived usefulness and satisfaction. Finally, satisfaction positively influenced the continuouse intention to use. Conclusion: The findings of this empirical analysis shows that the specific characteristics related to the relationship of expectation confirmation, perceived usefulness, satisfaction, and continuous usage intention with respect to OTT services through the Post Acceptance Model (PAM). Because system quality, content quality, and service fees meeted users' expectations, OTT services need a strategy that can boost the users' positive perceptions or experiences by reinforcing these three factors.

Product-Service Systems Design Approach : Servitization of a Small Furniture Manufacturing Company (시스템 디자인 연구 : 가구제조회사의 서비스화 실제 사례 중심으로)

  • Kim, Yong Se;Lee, Ju Hye;Lee, Hee Ju;Lee, Joon Seo
    • Korea Science and Art Forum
    • /
    • v.20
    • /
    • pp.159-171
    • /
    • 2015
  • Service elements are added to the product to improve the company it its sales and innovation. The servitization process could take many different routes reflecting various properties of the manufacturing firm and its business contexts. Product-service systems (PSS) design method developed at Sungkyunkwan Universty, Service Design Institute, has been applied to a small furniture manufacturing company to demonstrate the utility of the method and to devise improvements. First, the business context of the company has been analyzed and key values have been identified. A co-creative session has been conducted to develop initial service concepts to drive those key values. The diverse positioning of those service concepts on the scale of service supporting product and service support customer is then developed to plan servitization phases. The specific service concepts are about company-customer relationship building as well as customization and personalization in this case. Initial service concepts are detailed with service blueprint so that prototyping and customer experience evaluation can be done. Business models in different servitization phases are designed. Further prototyping and customer experience evaluation has been done with business strategy improvements. In this paper, the proudct-service systems design method has been reviewed and the specific and real processes of the servitization using design will be described with discussion on the improvement of the method and the enhancement of the business.

Learning data analysis strategy in intelligent learning system (지능형 학습 시스템에서의 학습데이터 분석 전략)

  • Shin, Soo-Bum
    • 한국정보교육학회:학술대회논문집
    • /
    • 2021.08a
    • /
    • pp.37-44
    • /
    • 2021
  • This study is about a strategy to analyze learning activities in an intelligent learning system. To this end, the conceptual definition of the intelligent learning system and the type of learning using the intelligent learning system were analyzed. The learning types were presented as individual, adaptive, competency-based, and blended learning, and although there are some differences, most of them have similar characteristics. In addition, learning activity analysis is based on data such as mouse clicks, keyboarding, and uploads generated by the system. Through this, basic analysis such as viewing time and number of uploads can be performed. However, more diverse learning analysis is needed for personalization and adaptation. It can judge not only learning attitude and achievement level, but also metacognitive level and creativity level. However, since the level of metacognition includes complex human cognitive activities, the teacher's intervention is required in the judgment of the intelligent learning system.

  • PDF

A Study on the Anti-Doping Communication from Niklas Luhmann's Systems Theory, its' Limits and Tasks (니클라스 루만(Niklas Luhmann)의 체계이론적 관점에서 본 반-도핑 커뮤니케이션의 한계와 과제)

  • Song, Hyeong-Seok
    • 한국체육학회지인문사회과학편
    • /
    • v.55 no.2
    • /
    • pp.11-22
    • /
    • 2016
  • Researcher has reviewed the diagnosis and strategies under the perspective of the Luhmann's system theory, and has concluded the following. The existing anti-doping communication has adopted a personalization strategy, in which the causes and responsibilities of doping is attributed to persons. Therefore, the problem-solving measures are all most the individual-centered such as detection, punishment, education to enlighten. Such a strategy is not only to simplify the doping phenomenon, which is a result of the complex entanglement of the interests of the sport system and its surroundings functional systems, to a result of the individual decision-making according to free will, but also to contribute to hiding of the internal and structural problems of systems through the self-reflection blocking of sport system and its surrounding systems, and to inactivate the anti-doping efforts by imposing demand which player or trainer can not easy accept. The effective strategy for combating doping should be conceptualized and executed in all levels of problems.