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중국의 Mobile Device Platform 기반 영상콘텐츠 Application 연구 (A Study on Video Content Application Based on Mobile Device Platform in China)

  • 스위;정진헌
    • 디지털융복합연구
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    • 제17권10호
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    • pp.433-438
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    • 2019
  • 본 논문은 중국의 Mobil Device Platform 기반 영상콘텐츠 Application에 대해 분석하였으며 향후 발전 방안에 대해 연구하였다. 조사에 따르면 2019년 현재 중국의 인터넷 서비스 가입자와 앱 사용자는 전체 인구의 78%를 기록하였다. 독자적으로 Mobil Device Platform을 개발하여 영상콘텐츠 Application 서비스를 제공하고 있으며, 2013년부터 현재까지 동영상 앱 사용자 수가 6억 4천만 명으로 집계되었다. 이중 65%의 사용자는 두 개 이상의 영상콘텐츠 앱을 설치해 사용하는 것으로 나타났다. 중국의 TikTok, Kuai Shou, MeiPai 등 영상콘텐츠 앱은 조작이 간편한 User Interface와 사용자가 손쉽게 영상콘텐츠를 직접 제작 가능하도록 촬영, 편집, 특수효과 등의 기능을 제공함으로서 10대, 20대, 30대 뿐만 아니라 40대 이상의 사용자까지도 끌어들이고 있다. 영상콘텐츠 제작기능 제공은 미국의 유명 동영상 플랫폼 You Tube와는 다른 차별화 된 특징이라 할 수 있다. 동영상 플랫폼 시장에서 핵심 경쟁력은 콘텐츠 창작에 달려있다. VR, AR 등의 영상공학을 융합한 영상콘텐츠는 동영상 플랫폼 시장을 더욱 활성화 시킬 전망이다.

플랫폼 기반 의사결정 품질 요인의 영향력 연구 (Impact of Quality Factors on Platform-based Decisions)

  • 윤성복;송호준;신완선
    • 산업경영시스템학회지
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    • 제46권3호
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    • pp.109-122
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    • 2023
  • As platforms become primary decision making tools, platforms for decision have been introduced to improve quality of decision results. Because, decision platforms applied augmented decision-making process which uses experiences and feedback of users. This process creates a variety of alternatives tailored for users' abilities and characteristics. However, platform users choose alternatives before considering significant quality factors based on securing decision quality. In real world, platform managers use an algorithm that distorts appropriate alternatives for their commercial benefits. For improving quality of decision-making, preceding researches approach trying to increase rational decision -making ability based on experiences and feedback. In order to overcome bounded rationality, users interact with the machine to approach the optional situation. Differentiated from previous studies, our study focused more on characteristics of users while they use decision platforms. This study investigated the impact of quality factors on decision-making using platforms, the dimensions of systematic factors and user characteristics. Systematic factors such as platform reliability, data quality, and user characteristics such as user abilities and biases were selected, and measuring variables which trust, satisfaction, and loyalty of decision platforms were selected. Based on these quality factors, a structural equation research model was created. A survey was conducted with 391 participants using a 7-point Likert scale. The hypothesis that quality factors affect trust was proved to be valid through path analysis of the structural equation model. The key findings indicate that platform reliability, data quality, user abilities, and biases affect the trust, satisfaction and loyalty. Among the quality factors, group bias of users affects significantly trust of decision platforms. We suggest that quality factors of decision platform consist of experience-based and feedback-based decision-making with the platform's network effect. Through this study, the theories of decision-making are empirically tested and the academic scope of platform-based decision-making has been further developed.

O2O 플랫폼 충성도에 플랫폼 정보 품질과 고객 정보품질이 미치는 영향 분석 (An Analysis of the Effect of Platform Information Quality and Customer Information Quality on Customer Loyalty to Online to Offline Platforms)

  • 박준성;박희준
    • 품질경영학회지
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    • 제52권1호
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    • pp.23-42
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    • 2024
  • Purpose: This study aims to investigate the impact of two types of information quality, which are platform-oriented information quality and customer-oriented information quality, on customers' decision-making processes in the Online to offline (O2O) platform environment. Grounded in the product brokering efficiency model, which encompasses screening cost, evaluation cost, and decision quality, a model framework was developed. Furthermore, this study explores how these decision-making processes affect customer loyalty. Methods: Given that food delivery apps are the most widely used O2O service in Korea, this study targeted users of these apps for data analysis. We conducted hypothesis testing through a purposive sampling methodology focusing on food delivery app users. A Partial Least Squares Structural Equation Modeling analysis was conducted to analyze the data. The data collection occurred via an online survey from October to December 2021, with a total of 212 respondents participating. Results: The results of this study revealed the significant role of information quality in helping customers' decision processes while using food delivery apps. Specifically, it was found that platform-oriented information positively influences decision quality, while customer-oriented information significantly affects both the reduction of evaluation cost and the enhancement of decision quality. Additionally, the study indicated that lower evaluation costs and higher decision quality lead to increased platform loyalty. However, a reduction in screening cost did not have a significant impact on platform loyalty. Conclusion: While previous studies have overlooked the existence of two sides, service provider and user, in a platform, this research holds significance in its analysis of how information quality impacts loyalty by utilizing the two kinds of information quality. Practitioners can enhance customer loyalty to the platform by enriching customer-oriented information, thereby reducing customers' evaluation costs and encouraging more loyal usage of the platform.

랜덤 포레스트를 활용한 만족도 사전조사에 따른 교육 역량 예측 분석 (An Analysis of Educational Capacity Prediction according to Pre-survey of Satisfaction using Random Forest)

  • 남기훈
    • 문화기술의 융합
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    • 제8권6호
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    • pp.487-492
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    • 2022
  • 대학들은 급변하는 사회 환경에 적합한 교육역량 수준을 높이기 위해 다양한 방법들을 찾고 있다. 본 논문에서는 조사 항목을 수정, 보완한 만족도 사전조사를 개강 전에 실행하여 학업성취도를 높이고 전공 이탈자의 비율을 낮춰 교육 성과를 높이는 방안을 제안한다. 일반적인 만족도 조사 이후에 시행되는 교육품질 개선(CQI) 방식을 보완하고자 만족도 사전조사를 시행하였다. 학생역량을 강화하기 위해 설계가 진행 중인 인공지능형 메디치 플랫폼에 적용할 수 있는 머신러닝 기법의 랜덤 포레스트를 활용하여 중요한 데이터의 예측 및 분석을 가능하게 하였다. 만족도 사전조사 데이터들을 전처리하여 수강 신청 학생들의 정보를 설명 변수로 정의하고 분류하여 모델 생성 및 학습하였다. 실험 환경은 주피터 노트북 3.7.7, Python 3.7에서 관련 알고리즘과 사이킷런(sklearn) 라이브러리를 함께 사용하였다. 제안하는 방안의 결과를 수업에 반영하여 수업 후에 진행하는 교육 만족도 조사의 변화와 중도 탈락생 수의 동향을 비교 분석하였다.

AHP 기법을 활용한 인텔리전트 생존보호체계 생존성 결정인자 상대적 중요도 결정 연구 (A Study on the Relative Importance of Survivability Determinant in the Intelligent Warrior Platform by Using AHP Method)

  • 김태양;김주희
    • 한국군사과학기술학회지
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    • 제24권2호
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    • pp.245-254
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    • 2021
  • The intelligent control algorithm based on the real-time biological monitoring system has been emphasized to enhance the survivability of the combat warrior in the future combat fields. In this study, AHP(Analytic Hierarchy Process) method was deployed to categorize the factors related to the improvement of survivability, then to determine the relative importances between them. As the details of the research process, the historical survivability determinants were firstly categorized, which was nextly judged their relative importance by the experts in the actual fileds through the survey of AHP. In this process, the consistency of the survey was investigated to filter out the error. As a result, the global priority of factors can be acquired to establish the optimized operational concepts in the intelligent warrior platform.

The Effect of Consumer Motivations on Purchase Intention of Online Fashion - Sharing Platform

  • WON, Jessica;KIM, Bo-Young
    • The Journal of Asian Finance, Economics and Business
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    • 제7권6호
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    • pp.197-207
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    • 2020
  • This study aims to examine the influence of attitudes on customers' intention to participate in online fashion sharing. A framework was proposed to investigate the relationships between consumer motivation, consumer attitude, and purchase intention in the manner of adopting a fashion-sharing platform. Consumer motivations are divided into three categories: utilitarian, hedonic, and ecological. The moderating effects of product replacement cycle (PRC) on consumer attitude and purchase intention are also investigated. Data collection was developed using a web-based survey where 180 consumer respondents from South Korea participated. The results of our analysis indicate that consumers' hedonic and ecological motivations are positively related to favorable consumer attitudes, even when consumers' utilitarian motivation is denied. Consumer attitude is also positively related to purchase intention in the fashion-sharing platform. A moderating effect of PRC is recorded between consumer attitude and purchase intention based on high and low PRC, as well as the effect of ecological motivation and consumer attitude on high PRC. This study enhances knowledge of consumer motivational factors in a fashion-sharing platform and provides insights for service providers to help them improve their target marketing.

지하철 승강장 벤치 디자인 유형의 개선방안에 관한 연구 (A Study on the Improvement Plan of Bench Design at a Subway Platform)

  • 양혜원;김준지;이주현;이현수
    • KIEAE Journal
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    • 제8권2호
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    • pp.71-78
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    • 2008
  • Subway is a major transportation in the city that is allied to the daily life of people. As a public space, subway station must satisfy the citizens with convenience, safety and esthetic factors. The bench which is one of the major street furniture on the subway platform has a lot of physical contact. Therefore the design of benches must be considered in the aspects of not only aesthetic design but also ergonomic design. The goal of this study is to find out the current conditions and problems of benches and at the same time suggest how to arrange, design, and manage them at the proper manners at subway platform. The result of the study is as follows. First, the problems of design are that the benches at a same platform have various design, the saturation of color is too high, and the design is unfashionable. The second, at the management part there is no such a total management system and specialist for the street furniture section and lack of rational management regulations. The third, results of a new survey suggest that citizens think negatively about present bench's conditions such as design and administration.

An Empirical Study on Consumers' Intention to Use a Global Business-to-Consumer Sharing Platform

  • Kim, Mie-Jung;Kwak, Su-Young;Lee, Do-Hyung
    • Journal of Korea Trade
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    • 제23권7호
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    • pp.45-63
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    • 2019
  • Purpose - This study aims to examine the factors that affect consumers' intention to use a global business-to-consumer sharing platform. Design/methodology - The questionnaire collected 300 copies from June 25 to July 11, 2019, of which 281 were used for statistical processing. The structural equation model (SEM) was used to test hypothesis in this research. Findings - The results showed that information innovation, personalization, and personal innovation influenced perceived usefulness, and social connectivity did not affect perceived usefulness. And perceived usefulness greatly influenced the intention to use. Research limitations/implications - The limitations of the study are that most of the survey respondents were in their twenties and could not grasp the perception of sharing economy services for various age groups. This paper derived implications that sharing platform promotes sharing and cooperation, which are the basic principles of international trade, to increase the intrinsic value of resources by cyclically using and utilizing limited resources around the world. Originality/value - It aims to contribute to the growth of consumer value-related industries and the welfare of society by providing implications from the point of view of sharing platform services.

Distribution of Air Tickets through Online Platform Recommendation Algorithms

  • Soyeon PARK
    • 유통과학연구
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    • 제22권9호
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    • pp.39-48
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    • 2024
  • Purpose: The purpose of this study is to collect and analyze a large amount of data from online ticket distribution platforms that offer multiple airlines and different routes so that they can improve their ticket distribution marketing strategies and provide services that are more suitable for consumer's needs. The results of this study will help airlines improve the quality of their online platform services to provide more benefits and convenience by providing access to multiple airlines and routes around the world on one platform. Research design, data and methodology: For the study, 200 people completed the survey between May 1 and June 15, 2024, of which 191 copies were used in the study. Results: The hypothesis testing results of this study showed that among the components of the recommendation algorithm, decision comport, novelty, and evoked interest recurrence had a positive effect on perceived recommendation quality, but curiosity did not have a positive effect on recommendation quality. The perceived recommendation quality of the online platform positively influenced recommendation satisfaction, and the higher the perceived recommendation quality, the higher the intention to continue the relationship. Finally, higher recommendation satisfaction was associated with higher relationship continuation intention. Conclusion: it's important to continue researching online ticketing platforms. Online platforms will also need to be systems that use technology and data analytics to provide a better user experience and more benefits.

Mechanical verification logic and first test results for the Euclid spacecraft

  • Calvi, Adriano;Bastia, Patrizia;Suarez, Manuel Perez;Neumann, Philipp;Carbonell, Albert
    • Advances in aircraft and spacecraft science
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    • 제7권3호
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    • pp.251-269
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    • 2020
  • Euclid is an optical/near-infrared survey mission of the European Space Agency (ESA) to investigate the nature of dark energy, dark matter and gravity by observing the geometry of the Universe and the formation of structures over cosmological timescales. The Euclid spacecraft mechanical architecture comprises the Payload Module (PLM) and the Service Module (SVM) connected by an interface structure designed to maximize thermal and mechanical decoupling. This paper shortly illustrates the mechanical system of the spacecraft and the mechanical verification philosophy which is based on the Structural and Thermal Model (STM), built at flight standard for structure and thermal qualification and the Proto Flight Model (PFM), used to complete the qualification programme. It will be submitted to a proto-flight test approach and it will be suitable for launch and flight operations. Within the overall verification approach crucial mechanical tests have been successfully performed (2018) on the SVM platform and on the sunshield (SSH) subsystem: the SVM platform static test, the SSH structure modal survey test and the SSH sine vibration qualification test. The paper reports the objectives and the main results of these tests.