• Title/Summary/Keyword: 서비스 경험데이터

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The Impact of Salespeople's Belief and Task Technology Fit Dimensions for User Satisfaction with Data on Usage of Sales Force Automation (SFA에 대한 판매원의 신념과 데이터만족에 대한 과업기술적합성과의 관련성이 SFA시스템의 사용행동에 미치는 영향)

  • Park, Un-Sun;Ham, Bong-Jin;Cho, Hyung-Lae
    • 한국IT서비스학회:학술대회논문집
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    • 2008.05a
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    • pp.409-415
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    • 2008
  • 본 연구는 판매원 개인적 요인 중 서비스 및 과업수행 경험기간을 고려하여 CRM의 기술도구인 영업자동화(Sales Force Automation: SFA이하)시스템을 받아들이는 판매원의 행동특성을 파악하고 그들은 어떤 일관된 신념과 데이터만족에 대한 과업기술적합성 그리고 사용행동을 보이는지 밝히고자 한다. 이는 고객과의 관계에서 실질적인 효과를 높일 수 있는 긍정적이고 적극적인 자세로 주도적인 판매 업무를 강화시키기 위한 것으로 판매원이 SFA 시스템 기술을 단순히 업무상으로 접근하는 것이 아니라 좀 더 효과적으로 기술을 수용하려면 판매원의 심리를 어떻게 파악해야하며 적절한 시스템에 적용 및 데이터 만족에 대한 과업기술적합성과 함께 유도하여 사용행동으로 이끌도록 하는데 의의가 있다.

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A Study on the Impact of Smart Tourism Application Service and Design Concept on the Intention to Continue Using (스마트 관광 애플리케이션 서비스의 효과와 지속 사용 의도를 위한 디자인 컨셉에 대한 연구)

  • Wang, Tuo;Dong, Hao;Zhang, Xindan;Bae, Ki-Hyung
    • The Journal of the Korea Contents Association
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    • v.22 no.10
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    • pp.279-290
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    • 2022
  • The popularization of mobile Internet applications has accelerated the development of smart tourism industry. Based on TAM and VAM theories, this paper studies the influencing factors of tourism App users' willingness to continue using through complex network and data analysis methods. Through the research, it is found that the improvement of service level and design concept of smart tourism application can accelerate the aggregation of complex networks and improve user engagement. At the same time, reasonable price service experience value, convenience service experience value, interactive service experience value, emotional design perception, ease of use design perception, entertainment design perception and other factors can have a direct impact on users' intention to continue to use, and there is a significant correlation. The smart tourism App's convenience and price advantage are the root of its competitiveness. The design concept can affect users' emotional experience and perceptual experience, and help smart tourism App improve users' satisfaction.

Implementation of Feeding Management Service Model based on Pig Raising Data (양돈 데이터 기반의 급이 관리 서비스 모델 구현)

  • Kim, Bong-Hyun
    • Journal of Digital Convergence
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    • v.19 no.10
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    • pp.105-110
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    • 2021
  • The pig ICT automatic feeder is capable of automatically feeding feed, etc. according to the set conditions. However, there is a disadvantage that the setting condition itself must depend on the user's experience. Therefore, trial and error is caused, and there is a problem that the efficiency is lowered. Therefore, it is necessary to develop a system and implement a service model that can improve pig productivity by suggesting optimal feeding setting conditions based on data. Therefore, in this paper, a pig feeding management service model was developed using the performance analysis program such as the existing feeding data, breeding management data, and pig production management system. Through this, we developed a consumer-oriented feed management service model that can be efficiently utilized by analyzing pig data. In addition, it is possible to provide a service that contributes to a decrease in the mortality rate and an increase in the MSY of the farms with the intelligent automatic feeding management service, thereby improving the productivity of the pig farms and thereby increasing the income of the pig farms.

A Study on Weight-Based Route Inference Using Traffic Data (항적 데이터를 활용한 가중치 기반 항로 추론에 대한 연구)

  • Seung Sim;Hyun-Jin Kim;Young-Soo Min;Jun-Rae Cho;Jeong-Hun Woo;Ho-June Seok;Deuk-Jae Cho;Jong-Hwa Baek;Jaeyong Jung
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2023.05a
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    • pp.208-209
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    • 2023
  • Intelligent maritime traffic information service for maritime traffic safety operates a service that provides safe and efficient optimal safety routes considering information such as water depth, maritime safety law, weather information, and fuel consumption. However, from a service user's point of view, they prefer a route that suits their personal navigation experience and style, such as unnecessary detours and conservative safety distances for maritime objects. In this study, the optimal safety route can be extracted based on the experience of service users without reflecting the separate maritime environment by adjusting the weight of the trunk line for the area where the ship frequently navigates with the ship's track data collected through LTE-M model was studied.

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Influence of Big Data Based Majib Apps' Service Quality on Use Satisfaction and Reuse Intention of Majib Apps - Moderating Effect of Review Informativity - (빅데이터 기반 맛집 어플리케이션의 서비스품질이 앱 이용만족과 재이용의도에 미치는 영향 - 사용후기 정보성의 조절효과 -)

  • Lee, Shin-Woo;Jeon, Hyeon-Mo
    • Culinary science and hospitality research
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    • v.22 no.5
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    • pp.64-81
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    • 2016
  • The study, based on existing studies, explored influencing relationship, suggesting app service quality and user reviews as previous elements to affect use satisfaction about users' comments based on big data and reuse intention. The study includes a comparative analysis of existing studies. Based on such analysis results, the authors looked into app service quality elements perceived by gourmet restaurant app users and the role of user reviews, and suggested practical implications that can help the development and operation of gourmet restaurant app contents. The study subjects were male and female consumers who over 20 years old throughout Korea who had not a searched smartphone gourmet restaurant app in the three months preceding the survey. The subjects were selected from consumers who search the restaurantsby using restaurant apps like Mango plate, Dining code, Hot place, and selecting restaurants. Among them, consumers with experience using restaurants were finally selected for the survey. According to the results, reliability, informativity, and system capability, among service quality, had positive influences on app use satisfaction, while design and mobility had no effect. App use satisfaction had positive influences on app reuse intention. User comment informativity played a controlling role. The study explored the importance of app service quality and user review informativity as elements that affect continued use of gourmet restaurant apps by dining-out consumers.

Content recommendation system based on the collaborative filtering and big-data solutions for its commercialization (협업 필터링 기반의 콘텐츠 추천 시스템과 빅데이터 처리 솔루션을 이용한 상용화 개발 방향)

  • Choe, Seong-U;Han, Seong-Hui;Jeong, Byeong-Hui
    • Broadcasting and Media Magazine
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    • v.19 no.4
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    • pp.50-59
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    • 2014
  • 사용자들이 미디어를 접하는 디바이스 환경이 다양화되고 그 속에서 접할 수 있는 콘텐츠의 양은 많아졌다. 특히 급속도로 발전한 모바일 환경에서 사용자들은 개인화된 기기를 사용하여 콘텐츠를 소비하고 주변 사용자들과 경험을 공유한다. 콘텐츠 제공 서비스에서는 이러한 개인의 콘텐츠 소비 이력 및 SNS 관계에서 발생한 데이터를 분석하여 활용함으로써 콘텐츠 소비를 활성화하고자 한다. KBS에서도 이러한 동향에 맞추어 방송콘텐츠 추천검색 연구와 실시간 TV캡처 및 소셜 공유 연구를 진행하였으며, 그 과정에서 많은 양의 데이터를 효율적으로 처리하기 위한 방법의 필요성을 절감하게 되었다. 데이터 분석이 필요한 두 과제에서 진행한 내용을 기술하고 대용량 데이터 처리기법을 활용하여 상용화 서비스를 구축할 계획을 소개한다.

A Study on the UX-based Ethical AI-Learning Model for Metaverse (UX-기반 메타버스 윤리적 AI 학습 모델 연구)

  • Ahn, Sunghee
    • Journal of Broadcast Engineering
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    • v.27 no.5
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    • pp.694-702
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    • 2022
  • This paper is the UX-based technology strategy research which is a solution to how conversational AI can be ethically evolved in the Metaverse environment. Since conversational AI influences people's on-offline decision-making factors through interaction with people, the Metaverse AI ethics must be reflected. In the machine learning process of conversational AI, cultural codes along with user's personal experience data must be included and considered to reduce the error value of user experience. Through this, the super-personalized Metaverse service can evolve ethically with social values. With above hypothesis as a result of the study, a conceptual model of a forward-looking perspective was developed and proposed by adding user experience data to the machine learning (ML) process for context-based interactive AI in the Metaverse service environment.

A Study on Evaluation Model for Usability of Research Data Service (연구데이터 서비스의 유용성 평가 모형 연구)

  • Park, Jin Ho;Ko, Young Man;Kim, Hyun Soo
    • Journal of the Korean Society for information Management
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    • v.36 no.4
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    • pp.129-159
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    • 2019
  • The Purpose of this study is to develop an evaluation model for usability of research data service from the angles of evaluating usefulness of research data service itself and research data use experience-based usability. First, the various cases of evaluating usability of data services are examined and 4 rating scales and 20 measuring indicators for research data service are derived as a result of comparative analysis. In order to verify validity and reliability of the rating scale and the measuring indicators, the study conducted a survey of 164 potential research data users. KMO Bartlett Analysis was performed for validity test, and Principle Component Analysis and Verimax Rotating Method were used for component analysis on measuring indicators. The result shows that the 4 intrinsic rating scales satisfy the validity criteria of KMO Barlett; A single component was determined from component analysis, which verifies the validity of measuring indicators of the current rating scale. However, the result of 12 user experience-based measuring indicators analysis identified 2 components that are each classified as rating scale of utilization level and that of participation level. Cronbach's alpha of all 6 rating scales was 0.6 or more for the overall scale.

A Study on hotel AI robot service built on the value-attitude-behavior(VAB) model (가치-태도-행동 모델을 적용한 호텔 AI 로봇서비스에 관한 연구)

  • Hejin Chun;Heeseung Lee
    • Smart Media Journal
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    • v.12 no.8
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    • pp.60-68
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    • 2023
  • After COVID-19, hotel industry is rapidly experiencing changes in the business environment, and under the influence of the Fourth Industrial Revolution, hotel industry is striving to secure competitive advantages through differentiation, including the use of big data and the IoT in service provision, as well as the introduction of artificial intelligence(AI) robot services. This study analyzed the perceived value of AI robot services and their impact on usage attitudes and behavioral intentions of customers who have used hotels that have introduced AI robot services. The results of the study showed that the value of robot services perceived by customers who have used robot services in hotels is categorized into three dimensions: social, experiential, and functional, and all of them have a positive effect on usage attitudes, with social, functional, and experiential values having a positive effect on usage attitudes in that order. Attitude toward use was also analyzed to have a positive effect on behavioral intention, which is consistent with the value-attitude-behavior model. Therefore, it is necessary for hotels to improve the satisfaction of hotel guests through diversified services of AI robot service.

Impact of the User Experience on OTT services on Continuous Use Intention: Mainly focusing on the Use Satisfaction Mediating Effect (OTT 서비스에 대한 사용자 경험이 지속적 이용 의도에 미치는 영향: 이용 만족의 매개효과를 중심으로)

  • Youm, Dongsup
    • Journal of Digital Convergence
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    • v.20 no.5
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    • pp.513-523
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    • 2022
  • Generally, people act to use Information Technology on the premise of their experience in using various Information Technology. Namely, users perceive Information Technology through their User Experience, and these User Experiences can be said to impact Continuous Use Intention of the Information Technology. Based on this condition, the present study was proceeded to investigate the User Satisfaction's Mediating effect in the relationship between User Experience and Continuous Use Intention of the OTT services. For this purpose, 195 male and female college students' survey data were used for analysis, verified through the SPSS Process Macro. As a result of the analysis, not only the Reliability experience for the OTT services but also the Usability, Convenience, and Pleasurable experiences' User Experiences were verified that Use Satisfaction was Fully Mediating in relation to Continuous Use Intention. This result gives an implication that the importance of User Experience and Use Satisfaction in maintaining customers through continuous use of OTT services are worth noting. Overall, the present study increased the customer utility for OTT services and confirmed the importance of User Experience and Use Satisfaction in order to increase the competitiveness of the company. Also, it proposed a direction for an in-depth future research to develop this study.