• Title/Summary/Keyword: 에스노그라피 연구방법

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A Study on the Reliability and Validity of the Collection of the Ethnography Method of Service Experience Data - Focusing on I know You_AI Service - (서비스경험데이터의 에스노그라피 방식 수집에 대한신뢰성과 타당성 연구 - I know you_AI 서비스를 중심으로 -)

  • Ahn, Jinho;Lee, Jeungsun
    • Journal of Service Research and Studies
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    • v.10 no.4
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    • pp.43-55
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    • 2020
  • Recently, as the importance of experience data increases, there are many attempts to deal with experience data from a data science perspective. In the case of approaching as a collection method of a quantitative survey method that seeks to quantify numerically such as big data, it is difficult to interpret the value of experience in a wide range, and it is relatively expensive and time consuming, and personal information infringement There is a limit to the analysis due to the risk of However, since ethnography, a procedure for collecting experience data based on qualitative research, is mainly carried out in the natural real environment of future customers from the perspective of users, it is possible to confirm the nature that customers face with a small sample. In addition, it is also easy to interpret the relational dimension of the empirical data. Although the ethnography method of collecting experiential data is economical and efficient, it is important to reduce errors in the collection process because the lack of scientific procedures for the data collection process can be a problem. It is important to secure the validity of whether the correct measurement tool is used for ethnography-based experiential data collection and to secure the reliability of the use of a valid measurement tool and method by accurately selecting the measurement target. From this point of view, it is necessary to verify the reliability of the research method that clearly selects the measurement target and secures the validity for the development of the correct measurement method and tool for the collection of ethnography experience data. Therefore, in this study, a verification study was conducted on the data and methodology cases of the'I know you_AI' service that analyzes the customer experience of self-employed based on the ethnography method of collecting experience data..

Service Design Guideline for Maker Space (메이커 스페이스를 위한 서비스 디자인 가이드 라인)

  • Kwak, Sojung;Baek, Yuncheol;Kwon, Jieun
    • Journal of Digital Convergence
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    • v.17 no.2
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    • pp.389-397
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    • 2019
  • The purpose of this study is to present guidelines for service design for efficient operation of Maker Space due to the proliferation of Maker Movement. First, we investigate the literature survey and prior research on the definition and status of Maker space. Second, we performed video ethnography, participant observation and in-depth interview on maker space service by qualitative survey method. Third, we analyze the surveyed contents and present guidelines such as Persona or Blueprint for maker space. We classify Maker space into general lab and professional lab, derive Persona from each Maker space, and establish Blueprint to provide guidelines for design and operation. It is expected that the Maker space service design presented in this study can be used as a guideline to help the service improvement of the existing Maker space and the planning, design and operation of the new Maker space.

A comparison of the types and characteristics of the purchase channel journey of fashion products in the MZ generation (MZ세대의 패션상품 구매채널여정 유형화와 특징 비교)

  • Lee, Jung-Woo;Kim, Mi Young
    • The Research Journal of the Costume Culture
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    • v.30 no.5
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    • pp.656-674
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    • 2022
  • The purpose of this study is to reveal and compare the differences in the types and characteristics of purchase channel journeys of MZ generation consumers. In this study a survey was conducted on the purchase channel journey of 20 women in the MZ generation using the ethnographic method of in-depth interviews and observations. As a result, three purchase channel journeys were identified: mobile, multi-channel, and offline. These were variously subdivided according to the characteristics of the MZ generations. Gen Z's journey was categorized into types: fashion platform app, Youtube, multi-channel supplement, multi-channel non-planned store visit, offline loyalty store, and impulsive offline store. Gen M's journey was categorized as: an online community bond, portal site, online loyalty store, multi-channel brand involvement, multi-channel efficiency, a multi-channel conversion, offline efficiency and offline task. The difference in mobile journey between generations was found in the time and length of the purchase. Gen M recognized both online and offline search processes to be tiring, while Gen Z enjoyed the search process using the online path. In the offline journey Gen Z began with their own intention to purchase, while Gen M sometimes recognized that purchasing fashion products necessary for work was a cumbersome task.