• Title/Summary/Keyword: Digital Leveraging

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디지털 레버리징: 기술을 인간의 삶에 적용하는 방법론 (Digital Leveraging: The Methodology of Applying Technology to Human Life)

  • 한석영;김희철;황원주
    • 한국멀티미디어학회논문지
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    • 제22권2호
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    • pp.322-333
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    • 2019
  • After the launch of smart phones, various miniaturized smart devices such as wearable and IOT devices have deeply embedded in human life, and have created a technology-oriented society. In this technology-oriented society, technology development itself is important, however it seems more important to utilize existing technology appropriately and deliver effectively to human life. As the computer became personalized after the appearance of PC, human-centered computing such as HCI and UCD had begun to appear. However, most of the researches focused on technology that made human being convenient to interact with computer such as computer systems design and UX development. In the technology-oriented society, it seems more urgent to apply existing technology to human life. In this paper, we propose a methodology, 'Digital Leveraging' which guides how to effectively apply technology to human life. Digital Leveraging is the way of convergence between technology and humanities.

Competition among Firms in Digital Convergence era

  • Yoo, Byung-Joon;Lim, Hyun-Young
    • Management Science and Financial Engineering
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    • 제16권2호
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    • pp.1-15
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    • 2010
  • Digital convergence which means the convergence of industry areas related to digital technologies is an important phenomenon in business, which will decide the fates of firms in the near future. The only firms which can create synergy effects from digital convergence are expected to be the winners in the fierce competition of digital convergence era. In our analysis, we examine the strategy of an integrated firm which has businesses in two different industry areas which are related to each other. By using a game theoretical model, we show how the integrated firm can win over two single separated firms which have business in only one industry area each by leveraging the two businesses the integrated firm has. In our welfare analysis, we also show that this convergence may be even beneficial to consumers, which seems counter-intuitive to social concerns about anti-competitive behaviors by integrated firms. Additionally, we study comparison between industry convergence and product convergence.

Influencing Factors of Chinese Tourists' Revisit Intentions to Japan and South Korea: The Roles of Destination Image, Digital Engagement, and Sustainability Practices

  • Yilixiati ALIMU
    • 융합경영연구
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    • 제12권4호
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    • pp.87-99
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    • 2024
  • Purpose: This research examines the elements that affect Chinese tourists' trip experiences and behaviors in Japan and South Korea, focusing on destination image, digital engagement, and sustainability practices awareness. Research design, data and methodology: Data were collected from 414 Chinese tourists through an online survey and analyzed conduct confirmatory factor analysis and structural equation modeling. Findings indicate a positive destination image significantly influences revisit intention but not travel satisfaction. Travel satisfaction positively affects revisit intention, while digital engagement and sustainability practices awareness both enhance travel satisfaction. Results: The results highlight the importance of leveraging digital engagement and promoting sustainability practices to boost satisfaction and repeat visits. Conclusions: The study provides practical insights for tourism stakeholders to develop targeted strategies, emphasizing customer service, sustainable practices.

A Digital Thesaurus of the Traditional Common Culture of the Greater Mekong Subregion

  • Suwannee Hoaihongthong;Kanyarat Kwiecien
    • Journal of Information Science Theory and Practice
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    • 제12권3호
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    • pp.63-74
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    • 2024
  • This study aimed to develop a digital thesaurus dedicated to cataloging the traditional common culture of the Greater Mekong Subregion. The process followed a meticulous seven-step methodology, including scoping, vocabulary collection, knowledge structure analysis, relationship delineation, related word adjustments, list validation, and evaluation. Leveraging principles from knowledge organization, thesaurus construction, and digital platform development, the TemaTres web application emerged as the primary tool for constructing this thesaurus. The study's results showed that 2,042 principal words related to the traditional common culture of the Greater Mekong Subregion were compiled and classified into terms for each of the seven deep levels. Each term was accompanied by essential metadata, including broader and narrower terms, related terms, cross-references, and scope notes. This rich dataset empowered semantic search capabilities across diverse applications and web services, providing access to knowledge pertaining to the traditional common culture of the Greater Mekong Subregion and contributing to a deeper understanding of this cultural domain.

디지털 마케팅에 있어서 심리학 원리 적용사례 (Leveraging Psychology in Digital Marketing : Case Study)

  • 최양애;정병규
    • 벤처혁신연구
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    • 제1권2호
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    • pp.1-12
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    • 2018
  • 마케팅에 있어서 심리학 원리의 적용은 매우 보편화되고 있는 현상이다. 최근 들어 디지털 마케팅의 중요성이 대두되면서 디지털 마케팅에도 심리학의 원리를 적용하는 사례가 늘어나고 있다. 이에 본 연구에서는 심리학의 원리중 social proof, scarcity and loss aversion, reciprocity, commitment and consistency, anchoring 5가지가 디지털 마케팅에 적용된 사례를 분석하였다. 각각의 심리학 원리에 대해 해외사례 2개, 국내사례 2개를 분석하였다. 이러한 시도는 향후 학제 간 연구를 촉진시킬 수 있을 것이다. 또한, 고객의 몰입도(customer engagement)을 높이고 궁극적으로는 고객생애가치(life time value)를 높여 고객 여정에 선순환 고리를 만드는데 필요한 이용자 인터페이스 개발 및 메시지 전략 개발 등에 유용한 시사점을 제공할 것이다.

Leveraging Big Data for Spark Deep Learning to Predict Rating

  • Mishra, Monika;Kang, Mingoo;Woo, Jongwook
    • 인터넷정보학회논문지
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    • 제21권6호
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    • pp.33-39
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    • 2020
  • The paper is to build recommendation systems leveraging Deep Learning and Big Data platform, Spark to predict item ratings of the Amazon e-commerce site. Recommendation system in e-commerce has become extremely popular in recent years and it is very important for both customers and sellers in daily life. It means providing the users with products and services they are interested in. Therecommendation systems need users' previous shopping activities and digital footprints to make best recommendation purpose for next item shopping. We developed the recommendation models in Amazon AWS Cloud services to predict the users' ratings for the items with the massive data set of Amazon customer reviews. We also present Big Data architecture to afford the large scale data set for storing and computation. And, we adopted deep learning for machine learning community as it is known that it has higher accuracy for the massive data set. In the end, a comparative conclusion in terms of the accuracy as well as the performance is illustrated with the Deep Learning architecture with Spark ML and the traditional Big Data architecture, Spark ML alone.

The Impact of Importance of Online Platform Food Delivery Selection Attributes on Satisfaction and Repurchase Intention

  • Bo-Kyung SEO;Seunghyeon LEE;Seong Soo CHA
    • 식품보건융합연구
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    • 제10권4호
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    • pp.9-19
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    • 2024
  • This qualitative study explores the impact of online food delivery platform attributes on customer satisfaction and repurchase intentions. Employing a phenomenological approach, we conducted in-depth interviews and focus group discussions with 15 participants to gain rich insights into user experiences. Thematic analysis revealed key factors influencing satisfaction and loyalty: service quality dimensions (efficiency, reliability, fulfillment, privacy), expectation disconfirmation, perceived usefulness and ease of use, multi-level customer value, relationship quality, electronic word-of-mouth, value co-creation, and phased loyalty formation. Our findings extend customer behavior theory in digital platforms, offering a comprehensive framework for understanding the complex mechanisms underlying user satisfaction and repurchase decisions. The study provides valuable implications for platform operators, highlighting the importance of exceeding customer expectations, enhancing user experience, building trust, leveraging user-generated content, and fostering co-creation processes. Methodologically, we demonstrate the efficacy of qualitative approaches in uncovering nuanced insights in digital service contexts. While acknowledging limitations in generalizability, this research establishes a solid foundation for future investigations into the rapidly evolving domain of online food delivery services. The integrated theoretical approach offers a robust model for analyzing customer behavior in emerging digital service environments, contributing significantly to both academic understanding and practical application in the field of digital service provision and platform management.

BIM 기반 디지털엔지니어링 모델을 활용한 프리팹 교량모델 작성 프로세스 (BIM-based Digital Engineering Modeling Process Proposal for Prefabricated Bridges)

  • 최재웅;김현민;홍사훈
    • 한국BIM학회 논문집
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    • 제13권4호
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    • pp.36-44
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    • 2023
  • Recently in Korea, efforts are underway to enhance smart construction by implementing Building Information Modeling (BIM) comprehensively across all sectors of the construction industry. This study focused on the adoption of BIM for prefab bridges currently executed in the industry and It examined the process of creating a BIM-based prefab bridge model that can support production. Additionally, it explored how prefab products made by manufacturers can be integrated with road alignments using BIM technology and how the DfMA (Design for Manufacturing and Assembly) approach, which supports production based on designed information, can be adopted. The process of creating the prefab bridge model aims to shorten production time, reduce costs, and enhance quality by leveraging digital information related to design and manufacturing within the BIM framework

CoNSIST : Consist of New methodologies on AASIST, leveraging Squeeze-and-Excitation, Positional Encoding, and Re-formulated HS-GAL

  • Jae-Hoon Ha;Joo-Won Mun;Sang-Yup Lee
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2024년도 춘계학술발표대회
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    • pp.692-695
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    • 2024
  • With the recent advancements in artificial intelligence (AI), the performance of deep learning-based audio deepfake technology has significantly improved. This technology has been exploited for criminal activities, leading to various cases of victimization. To prevent such illicit outcomes, this paper proposes a deep learning-based audio deepfake detection model. In this study, we propose CoNSIST, an improved audio deepfake detection model, which incorporates three additional components into the graph-based end-to-end model AASIST: (i) Squeeze and Excitation, (ii) Positional Encoding, and (iii) Reformulated HS-GAL, This incorporation is expected to enable more effective feature extraction, elimination of unnecessary operations, and consideration of more diverse information, thereby improving the performance of the original AASIST. The results of multiple experiments indicate that CoNSIST has enhanced the performance of audio deepfake detection compared to existing models.

A Research on the Diversity and Expandability of Kidult Culture

  • DaYun Kang;Jeanhun Chung
    • International Journal of Internet, Broadcasting and Communication
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    • 제16권3호
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    • pp.139-145
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    • 2024
  • In modern society, many adults seek emotional solace by reconnecting with their childhood memories through "kidult" culture, especially as single-person households increase. This trend spans fashion, collectibles, movies, animations, games, and character merchandise, with Hollywood playing a significant role in its growth during the 1980s and 1990s. Kidult culture allows adults to relieve stress, foster creativity, and strengthen social connections, enhancing their quality of life. As this culture gains mainstream acceptance, companies are producing diverse products featuring beloved characters, appealing to a wide age range. The rise in single-person households has amplified the importance of personal expression and individuality, driving the popularity of kidult culture. Companies are leveraging this trend to create innovative designs that resonate with consumer preferences. This cultural expansion promotes new design forms and aesthetics, reflecting the evolving relationship between design and consumption. Kidult culture's growth underscores its significance in contemporary consumer and design culture, offering valuable insights into modern societal trends.