• Title/Summary/Keyword: three-dimension positioning map

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A Study on Customer Characteristics in B2B Transactions Using Three-dimensional Positioning Map and Web-shape Customer Needs Analysis (B2B 거래에서 3차원 포지셔닝 맵과 웹 모양 고객 니즈 분석을 통한 고객 특성 연구)

  • Park, Chan-Ju;Park, Yunsun;Kim, Chang-Ouk;Joo, Sang-ho;Kim, Sun-il
    • Journal of Korean Institute of Industrial Engineers
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    • v.28 no.3
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    • pp.274-282
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    • 2002
  • This paper discusses a multi-dimensional analysis for Customer Relationship Management (CRM). For this, We propose a decision-making methodology which employs three analysis models. The first model is a three-dimension positioning map to derive a strategy which achieves the Process Value Line (PVL). The second model is the web-shape analysis model to visibly understand the individual based on the customer CSI (Customer Satisfactory Index) data. The third model which supports the web-shape analysis model, is the relative satisfactory analysis model. It considers a satisfaction level after purchasing against before purchasing. Then we perform overall analysis based on the three analysis models to provide marketing strategies to decision makers.

Emotional Palette: Mapping Affective User experience Elements based on Trend (Emotional Palette: Trend에 따른 감성적 사용자 경험 요소 매핑)

  • Jeon, Myoung-Hoon;Lee, Ju-Hwan;Yang, Jung-Min;Heo, U-Beom;Lim, Tae-Hoon;Ahn, Jung-Hee;Kim, Jin
    • 한국HCI학회:학술대회논문집
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    • 2008.02b
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    • pp.451-455
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    • 2008
  • Emotional design gets more and more important. However, the systematical approaches to integration of user experience elements in product design have been rarely tried. This study consists of three parts. We extracted affective words fitting to design direction based on trend analysis. Then, user experience elements were matched with affective words. Finally, a prototype system was made to guide designing affective factors in electronic products. In the present study, user experience elements were defined as color, material & finishing, and sound. Through various documents analysis and trend analysis, trend analysis experts and user experience designers extracted 31 affective keywords which could fully reflect current trend. After paired-comparison of selected keywords, 2 sensibility dimensions were obtained by multidimensional scaling. Trend affective keywords could be explained by 2 dimensions of human-centered' vs. 'techno-centered' and 'warm vs. cool'. Next, user experience elements stimuli were matched with each keyword by user direct positioning on the 2 dimensions affective map. Based on the result of the experiment, the prototype system was developed for the product designers. The results of the current study could guide designers to design emotionally satisfactory products.

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