• Title/Summary/Keyword: personalization strategy

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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
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    • v.55 no.2
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    • pp.11-22
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    • 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.

An Extension of Theory of Planned Behavior for in-App Advertisements: The Case of Vietnamese Young Mobile Users

  • Tapanainen, Tommi;Dao, Trung Kien;Nguyen, Thi Thanh Hai;Pham, Thi Anh Duong;Nguyen, Danh Nguyen
    • Journal of Information Technology Applications and Management
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    • v.27 no.1
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    • pp.147-171
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    • 2020
  • In-app advertisement is a fast-growing trend in mobile advertising, where user acceptance of ads is facilitated by the fact that users have voluntarily downloaded the app through which the ad is served. However, research in this ad category is limited. This study applies an extended version of the theory of planned behavior. Analysis results from 412 young mobile users in Vietnam using structural equation modeling showed that while localization and perceived enjoyment affected user intention to watch in-app ads as expected, perceived behavioral control and trust did not. Such results may be due to embedding the ads to applications, confusing users' behavioral intentions. The results underline the need for more future research in the area. In practical terms, companies should improve localization and entertainment aspects of ads to create more relevant and engaging advertisements.

The Effects of Mobile Shopping Mall Attributes on Consumer Loyalty : Consumers' Experience with O2O Service as a Moderating Variable (모바일 쇼핑몰의 속성이 소비자의 충성도에 미치는 효과 : 소비자의 O2O 서비스 경험여부를 조절변수로)

  • Kim, Hye Jin;Lee, Jung Seung;Song, Yong Uk;Kim, Soo Kyung
    • Journal of Information Technology Applications and Management
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    • v.27 no.3
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    • pp.77-92
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    • 2020
  • As mobile shopping has been increasing, the competition has been also increasing to satisfy various consumers' needs. Despite such increase in terms of the volume of the consumers who use mobile shopping, there has been very few studies to examine characteristics of mobile shopping malls. The purpose of this empirical study is to investigate the effect of characteristics of mobile shopping malls on consumer loyalty and the interaction effect of the O2O experience on the relationship between the characteristics of mobile shopping malls and consumer loyalty. Using a sample of 276 individuals who have experienced mobile shopping, we found that certain characteristics such as ubiquity, personalization, or convenience have a positive impact on consumer loyalty and a design characteristic solely has an interaction effect on consumer loyalty. As consumer loyalty has a critical factor on mobile shopping mall's profit, examining which factor has a positive effect on consumer loyalty is beneficial for mobile shopping malls. The results of the study have both practical and empirical implications.

A Agent System Supporting Personalization based on Customer-Emotion (고객 감성 기반의 개인화를 지원하는 에이전트 시스템)

  • 고일석;김의재;신승수;나윤지
    • The Journal of the Korea Contents Association
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    • v.2 no.1
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    • pp.113-119
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    • 2002
  • E-Biz. system must provide convenient and easy interface, efficient functions, and provides information and contents satisfying customers. To do this, many kinds of studies are being advanced actively about E-Biz. system using intelligent agent technology and efficient E-Biz. strategy. Also E-Biz. system score a lot of information and contents to get a efficient business activities and relationships between a company arid customers. To effectively adopt individual customer's preference and actively adapt change of business situation, we may consider individual user characteristics and emotion. This paper suggests E-Biz. system using intelligent agent technology based on user characteristics and emotion. This system can provide convenient user interface and improve customer royalty. In the results, it is found that proposed system is more efficient than existing systems about customer's preference.

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A Study on the Change in Library Resources Management and Scheme of Web-based Multimedia Knowledge Contents Management (도서관 자원관리의 변화와 웹기반 멀티미디어 지식컨텐츠 관리방안에 관한 연구)

  • 문경화;남태우
    • Journal of Korean Library and Information Science Society
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    • v.33 no.1
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    • pp.121-141
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    • 2002
  • In this paper, I presented that transformation of library from the collection management to knowledge contents management along with paradigm shift under the web-based multimedia information environment is required. Effective web contents management call maximize users'satisfaction with personal customizing services for library users. Especially, contents customizing service using the metabrowsing service contributes to maximize the user'satisfaction by supplying core contents that the user seeks. In this paper, I studied the scheme of knowledge contents management to increase of user'satisfaction, concentrating on the management factors of web-based multimedia knowledge contents and service strategy.

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Research Trend of Additive Manufacturing Technology - A=B+C+D+E, add Innovative Concept to Current Additive Manufacturing Technology: Four Conceptual Factors for Building Additive Manufacturing Technology -

  • Choi, Hanshin;Byun, Jong Min;Lee, Wonsik;Bang, Su-Ryong;Kim, Young Do
    • Journal of Powder Materials
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    • v.23 no.2
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    • pp.149-169
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    • 2016
  • Additive manufacturing (AM) is defined as the manufacture of three-dimensional tangible products by additively consolidating two-dimensional patterns layer by layer. In this review, we introduce four fundamental conceptual pillars that support AM technology: the bottom-up manufacturing factor, computer-aided manufacturing factor, distributed manufacturing factor, and eliminated manufacturing factor. All the conceptual factors work together; however, business strategy and technology optimization will vary according to the main factor that we emphasize. In parallel to the manufacturing paradigm shift toward mass personalization, manufacturing industrial ecology evolves to achieve competitiveness in economics of scope. AM technology is indeed a potent candidate manufacturing technology for satisfying volatile and customized markets. From the viewpoint of the innovation technology adoption cycle, various pros and cons of AM technology themselves prove that it is an innovative technology, in particular a disruptive innovation in manufacturing technology, as powder technology was when ingot metallurgy was dominant. Chasms related to the AM technology adoption cycle and efforts to cross the chasms are considered.

An Investigation of Affecting Factors on Consumers' Perceived Value and Attitude towards Advertising in Smart Signage (스마트 사이니지 광고에 대한 소비자의 지각된 가치 및 태도에 영향을 미치는 요인 연구)

  • Choi, Min Seok;Kang, Min Cheol;Yang, Sung-Byung
    • Journal of Information Technology Applications and Management
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    • v.19 no.4
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    • pp.115-135
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    • 2012
  • Currently, smart signage as a new kind of advertisement media has been widely used and has had a significant effect on consumers. In this study, we examine the impact on the attitude towards smart signage advertisement based on the Ducoffe's Web advertisement model. In particular, we investigate how the advertising factors (interaction, informativeness, irritation, and entertainment) as well as the contextual factors (localization, immediacy, and personalization) have effects on the value and attitude towards smart signage advertisement. Furthermore, we examine the moderating effect of individual defensive propensity on the relationship between affecting factors and the advertising value. By analyzing 192 samples from undergraduates, we found that four out of seven factors have significant effects on the value towards smart signage. More specifically, for advertising factors, informativeness and irritation have positive effects on the advertising value. For contextual factors, on the other hand, localization and entertainment have positive effects on the value towards smart signage. Besides, we discovered that the defensive propensity moderate the relationship between localization and the advertising value.

The Technology of Personal Cloud Computing and Market Research (퍼스널 클라우드 컴퓨팅의 기술과 시장 분석)

  • Shim, Hyun-Bo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.2
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    • pp.239-251
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    • 2014
  • The personal cloud is a service which approaches the personal contents scattering to all terminals and online space at the personal information-oriented age in which the person's digital device including the Smart-phone, MID, PC, IPTV and etc, increases and the personal online service including the blog, E-mail, UCC, social network service and ect, rapidly increasing for the cloud computing regardless of the terminal anywhere independently and can provide the high vale added personalization service through the analysis of the contents and processing. The future of the personal cloud market is prospected through the service and technology which enhances the understanding about the cloud computing, that is the next generation IT paradigm which the world IT companies pay attention to, and is provided and business strategy analysis of the security and normalizing and related companies.

Characteristics of New Luxury in Louis Vuitton's D2C-Based Mobile Application (D2C(Direct-to-Consumer) 기반 루이비통 모바일 앱에 나타난 뉴 럭셔리(New Luxury) 특성)

  • Kim, Mikyung;Yim, Eunhyuk
    • Journal of the Korean Society of Clothing and Textiles
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    • v.45 no.5
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    • pp.741-757
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    • 2021
  • In addition to direct sales to consumers, the direct-to-consumers (D2C) strategy, which provides specialized experiences and services, communicates closely with a consumer's perspective. This tendency is related to the recent trend wherein the luxury fashion system is being transformed into a new luxury. Therefore, this study analyzes the development of online D2C platforms and investigates the characteristics of new luxury from the functional, symbolic, and experiential dimension perspectives based on mobile apps, which is becoming increasingly important among online D2C platforms. Based on the study results, the premium of new luxury fashion displayed in Louis Vuitton's mobile D2C platform in terms of product utility and functionality is newly defined as a usable luxury experience. Moreover, from the heritage perspective, based on the cultural sympathy of the brand contents, we determine that an attachment can be formed between new luxury fashion consumers and brands. Additionally, the personalization service and experiential content on the D2C platform can directly afford emotional and bonding induced brand immersion in a playful way.

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

  • Shin, Soo-Bum
    • 한국정보교육학회:학술대회논문집
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    • 2021.08a
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    • pp.37-44
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    • 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.

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