§ 瀏覽學位論文書目資料
  
系統識別號 U0002-0107201116574300
DOI 10.6846/TKU.2011.00011
論文名稱(中文) 應用共同設計在運動鞋產品創新之研究
論文名稱(英文) The Application Co-design Techniques on Sports Product Innovations
第三語言論文名稱
校院名稱 淡江大學
系所名稱(中文) 統計學系碩士班
系所名稱(英文) Department of Statistics
外國學位學校名稱
外國學位學院名稱
外國學位研究所名稱
學年度 99
學期 2
出版年 100
研究生(中文) 李佩芬
研究生(英文) Pei-Feng Lee
學號 698650016
學位類別 碩士
語言別 繁體中文
第二語言別
口試日期 2011-06-04
論文頁數 92頁
口試委員 指導教授 - 温博仕(wenbor@mail.tku.edu.tw)
委員 - 任立中(lichung@management.ntu.edu.tw)
委員 - 温博仕(wenbor@mail.tku.edu.tw)
委員 - 廖啟順(naylor.shun@msa.hinet.net)
委員 - 林豐政(filin@mail.niu.edu.tw)
關鍵字(中) 共同設計
運動鞋產品
聯合分析
關鍵字(英) Co-design
Sports shoes
Conjoint Analysis
第三語言關鍵字
學科別分類
中文摘要
隨著時代的進步與經濟蓬勃發展,產品必須要不斷的求新、求變來滿足消費者的需求。過去隨工業革命而來的大量生產與產品標準化模式,已不符合市場需求,個人化的產品將會是未來的市場趨勢。
    在新產品開發方面,一個新產品的開發方案,往往伴隨著極高的失敗風險,若可讓消費者參與新產品開發(New Product Development),可對競爭狀況、市場潛力以及顧客需求給予共同的詮釋。而讓消費者參與產品的設計即是共同設計(Co-design)的概念,流行性產品所採用之共同設計更是大量客製化(Mass Customization)的經典代表。在市場上許多產品和服務皆已經受到客製化的影響,如:NIKE與Adidas都已由不同的形式推出共同設計的商品或服務。新產品的開發或設計若能考量共同設計,不但可以創新產品,滿足消費者的需求,還能讓消費者擁有一個難忘的體驗。
    本研究乃是探討共同設計應用在運動鞋產品的創新,讓消費者參與產品設計,使得產品更能滿足個別消費者的偏好及需要;根據研擬的問卷做為與消費者溝通的橋樑,並採用聯合分析方法,期望能更精確的找出每位消費者獨特的需求,達到個人化的服務以及設計。
對於運動鞋產品,經研究結果發現,整體上消費者對於顏色顯得特別的重視,顯然運動鞋的外觀是決定了消費者偏好程度的主因,其次重視的是價格,在執行共同設計服務時,對於外觀的配色應可提供消費者更多的選擇空間,創造出屬於個人風格的運動鞋產品;價格方面則應根據產品的定位族群,做適當的調整。期望共同設計可達到廠商與消費者共同受益的目標。
英文摘要
With the development of generation and economic exuberance, products must be renewed frequently to satisfy consumers’ needs. The previous mass production and product standardization mode accompanying by the industrial evolution do not conform to the market’s needs. Personalized product will become the trend in the future market.
New products development (NPD) often accompany high risk of failure. Involve customers early in NPD team may enact a shared interpretation of the competitive situation, market potential and customer needs. Making consumers participating in the design of products is the concept of co-design and the classical representative is the mass-customization of trendy products. In the market, numerous products and services have been influenced by the customization, including the industry of sports shoes, such as NIKE and Adidas. If the development or design of the new product can take co-design into account, innovative products may release, offer the demand of customers and consumers may have an unforgettable impression.
This study is to investigate the concept of co-design applying to the industry of sports shoes. By including consumers taking part in the design of the products, it may better satisfy individual consumer’s preference and need. Questionnaires serve as the bridge between consumers and designer. By adapting the conjoint analysis method, it is hoped that every consumer’s need could be able to accurately found, achieving personalized service and design. 
The result showed that consumers paid a strong emphasis on the color on the selection of sports shoes. It was evidently showed that appearance plays the dominant factor when consumers selecting their preferences, while prices play the second. When doing the co-design, it should provide much more color selections for consumers, producing personal style sport shoes. As for the prices, it should make adequate adaption in accordance with the focus of the groups. It is hoped that the co-design can achieve the target of co-benefit between the manufacturers and consumers.
第三語言摘要
論文目次
目錄
目錄	i
表目錄	iii
圖目錄	v

第一章 緒論	1
第一節 研究背景與動機	1
第二節 研究目的	3
第三節 研究範圍	4
第四節 研究流程	4
第二章 文獻探討	6
第一節 新產品開發與共同設計	6
第二節 運動鞋之產品屬性	9
第三節 聯合分析	11
第三章 研究架構與研究方法	23
第一節 研究架構	23
第二節 各研究變項的定義與其衡量方式	24
第三節 研究設計	25
第四節 資料與統計分析方法	30
第五節 分析流程架構	36
第四章 實證分析	39
第一節 共同設計與影響消費者購買運動鞋之重要屬性	39
第二節 與消費者共同設計之個人化運動鞋產品最佳化探討	52
第五章 結論與建議	70
第一節 研究結論	70
第二節 管理意涵與建議	73
第三節 研究限制與後續研究	74
參考文獻	76
附錄	85
 
表目錄
表 1 共同設計之定義彙整	8
表 2 運動鞋之重要屬性	11
表 3 三種聯合分析之比較	13
表 4 兌換法之受測體	17
表 5 受測體呈現方式之優缺點	19
表 6 共同設計之參與意願的衡量問項	24
表 7 專家訪談背景資料	26
表 8 第一階段問卷之主題	27
表 9 第二階段問卷之主題	28
表 10 Cronbach’s α判別準則	28
表 11 共同設計之意願部份的項目分析彙整表	29
表 12 第一階段問卷正式主題統計表	30
表 13 KMO統計量判斷準則	31
表 14 運動鞋產品範例偏好之受測體彙整表	33
表 15 運動鞋產品之設計矩陣	34
表 16 運動鞋產品之成份效用值估計	35
表 17 運動鞋範例之重要性	36
表 18 第一階段:樣本結構統計表	40
表 19 對於共同設計應用於運動鞋產品之參與意願看法之項目分析統計表	44
表 20 對於共同設計運用於運動鞋產品之參與意願的KMO值統計表	45
表 21 對於共同設計運用於運動鞋產品之參與意願的因素分析之特徵值及解
釋變異彙整表	46
表 22 於共同設計運用於運動鞋產品之參與意願的因素負荷量統計表	47
表 23 利用方法一評估運動鞋之重要性彙整表	48
表 24 利用方法二評估運動鞋之重要性彙整表	49
表 25 利用方法三評估運動鞋之重要性彙整表	50
表 26 三種評估重要屬性優先順序之彙整	51
表 27 Spearman等級相關係數統計表	52
表 28 運動鞋產品之重要屬性-內隱、外顯屬性彙整表	52
表 29 共同設計之個人化運動鞋產品屬性及水準彙整表	53
表 30 共同設計之個人化運動鞋產品之受測體彙整表	54
表 31 第二階段:樣本結構統計表	56
表 32 共同設計個人化運動鞋產品偏好之信度分析表	57
表 33 整體受訪者對共同設計最佳化運動鞋設計產品之重要屬性及成份效用
值分析表	59
表 34 整體受訪者對運動鞋設計產品之最佳組合彙整表	60
表 35 以性別區隔受訪者對共同設計最佳化運動鞋設計產品之重要屬性及成
份效用值分析表	61
表 36 以性別變數區隔受訪者對運動鞋設計產品之最佳組合彙整表	62
表 37 以教育程度區隔受訪者對共同設計最佳化運動鞋產品之重要屬性及成
份效用值分析表	63
表 38 以教育程度變數區隔受訪者對運動鞋設計產品之最佳組合彙整表	64
表 39 三位個別受訪者對共同設計個人化運動鞋產品之重要屬性及成份效用
值分析表	66
表 40 個別受訪者對18個運動鞋產品(受測體)之總效用值彙整表	67
表 41 三位個別受訪者對運動鞋設計產品之最佳組合彙整表	68
 
圖目錄
圖 1 研究流程圖	5
圖 2 聯合分析之分析流程	14
圖 3 偏好模式之函數圖形	16
圖 4 整體輪廓法之受測體	18
圖 5 本研究之分析架構圖	23
圖 6 第一階段問卷之分析流程	37
圖 7 第二階段問卷之分析流程	38
圖 8 第一階段:平均月可支配生活費直方圖	41
圖 9 使用運動鞋品牌之長條圖	41
圖 10 購買意願長條圖	42
圖 11 費者換購運動鞋頻率之長條圖	43
圖 12 購買運動鞋產品之主要通路長條圖	43
圖 13 運動鞋產品之受測體範例	55
圖 14 第二階段:平均月可支配生活費之直方圖	57
圖 15 運動鞋產品屬性之重要性(三位個別受訪者)	65
圖 16 編號80、118、124之受訪者最偏好的運動鞋產品	69
參考文獻
一、中文文獻部分
[1]	呂金河(2005)。《多變量分析》。臺中市:滄海書局。
[2]	周文賢(2002)。《多變量統計分析SAS/STAT使用方法》。臺北市:智勝出版社。
[3]	周文賢,張欽富(2000)。《聯合分析在產品設計之運用》。臺北市:華泰文化。
[4]	陳美燕,謝立文,葉允棋(2007)。〈青少年在運動鞋探索性購買行為傾向量表之跨國研究〉。行銷評論, 4(4), 401-420。
[5]	陳順宇(2005)。《多變量分析 (4th ed.)》。台北市:華泰文化。
[6]	傅祖壇,吳慧嫻(1991)。《中式香腸屬性之重要性評估-聯合分析法之應用》。臺北市:中央研究院經濟研究所。
[7]	黃俊英(2000)。《多變量分析 (7th ed.)》。台北市:華泰文化. 
[8]	黃台生(2008)。〈3D 量測在鞋款設計之應用〉。設計學報 (Journal of Design),第13期第4卷,頁71-90。
[9]	張書文,戴華亭 譯(2002)。《產品設計與開發》。台北: 麥格羅希爾. 
[10]	張文智,衛萬里(2009)。〈應用聯合分析法於商標設計之最佳化研究-以羅昇企業設計個案為例〉。設計學報 (Journal of Design),第10期第4卷,頁55-70。
[11]	褚耐安 譯(2007)。《從需求到設計:如何設計出客戶想要的產品》。台灣:經濟新潮社. 
[12]	鄧成連(2001)。《設計策略-產品設計之管理工具與競爭利器》。台北市:亞太圖書。
[13]	顏月珠(2007)。《無母數統計方法 (7th ed.)》。台大法律學院圖書文具部。
二、英文文獻部分
[1]	Anderson-Connell, L. J., Ulrich, P. V., & Brannon, E. L. (2002). A consumer-driven model for mass customization in the apparel market. Journal of Fashion Marketing and Management, 6(3), 240-258.
[2]	Ares, G., & Deliza, R. (2010). Studying the influence of package shape and colour on consumer expectations of milk desserts using word association and conjoint analysis. Food Quality and Preference, 21(8), 930-937. 
[3]	Beane, T., & Ennis, D. (1987). Market segmentation: A review. European Journal of Marketing, 21(5), 20-42. 
[4]	Berger, C., Moslein, K., Piller, F., & Reichwald, R. (2005). Co-designing modes of cooperation at the customer interface: Learning from exploratory research. European Management Review, 2(1), 70-87. 
[5]	Berger, C., & Piller, F. (2003). Customers as co-designers. Manufacturing Engineer London, 82(4), 42-45. 
[6]	Bernués, A., Olaizola, A., & Corcoran, K. (2003). Extrinsic attributes of red meat as indicators of quality in europe: An application for market segmentation. Food Quality and Preference, 14(4), 265-276. 
[7]	Bock, C., Zha, X. F., Suh, H. W., & Lee, J. H. (2009). Ontological product modeling for collaborative design. National Institute of Standards and Technology, (7643). 
[8]	Bruce, M., Leverick, F., & Littler, D. (1995). Complexities of collaborative product development. Technovation, 15(9), 535-552.
[9]	Carroll, J. D., & Green, P. E. (1995). Guest editorial: Psychometric methods in marketing research: Part i, conjoint analysis. Journal of Marketing Research, 32(4), 385-391. 
[10]	Chang, C. A., Lin, M. C., Leonard, M. S., & Occena, L. G. (1988). Building an expert system for the design of sport shoes. Computers & Industrial Engineering, 15(1-4), 72-77. 
[11]	Chen, Y. H., & Hsu, I. (2010). Website attributes that increase consumer purchase intention: A conjoint analysis. Journal of Business Research, 63, 1007-1014. 
[12]	Chin, K. S., Tang, D. W., Yang, J. B., Wong, S. Y., & Wang, H. (2009). Assessing new product development project risk by bayesian network with a systematic probability generation methodology. Expert Systems with Applications, 36(6), 9879-9890. 
[13]	Chu, C. H., Cheng, C. Y., & Wu, C. W. (2006). Applications of the web-based collaborative visualization in distributed product development. Computers in Industry, 57(3), 272-282. 
[14]	Chu, H., & Lin, P. (2007). Friction analysis of the sneakers insole. Journal of Biomechanics, 40(2), 713. 
[15]	Churchman, C. W. (1968). The systems approach. Delacorte Press. New York, NY, USA. 
[16]	Clark, K. B. (1989). Project scope and project performance: The effect of parts strategy and supplier involvement on product development. Management Science, 35(10), 1247-1263. 
[17]	Clark, K. B., & Fujimoto, T. (1991). Product development performance: Strategy, organization, and management in the world auto industry. Boston: Harvard Business School Press. 
[18]	Corstjens, M. L., & Gautschi, D. A. (1983). Conjoint analysis: A comparative analysis of specification tests for the utility function. Management Science, 29(12), 1393-1413. 
[19]	Cusumano, M. A., & Takeishi, A. (1991). Supplier relations and management: A survey of japanese, japanese-transplant, and US auto plants. Strategic Management Journal, 12(8), 563-588. 
[20]	Dodds, W. B., Monroe,K.B., & Grewal, D. (August 1991). The Effects of Price, Brand, and Store Information on Buyer’s Product Evaluations. Journal of Marketing Research, 28(3), 307-319.
[21]	Dyer, J. H. (1996). How chrysler created an american keiretsu. Harvard Business Review, 74, 42-60. 
[22]	Egan, T., Jarvis, W., Gibberd, M., & Williams, H. (2008). Some evidence and discussion on the validity of using intrinsic sensory cues in stated choice experiments. Paper presented at the 4th International Conference of the Academy of Wine Business Research, Siena, Italy, Siena. 
[23]	Eppinger, S. D., & Ulrich, K. (2004). Product design and development (3th ed.)McGraw-Hill/Irwin. 
[24]	Filho, D. G., & Kaminski, P. C. (2009). Co-design–from an automaker perspective. International Journal of Product Development, 8(3), 333-353. 
[25]	Fiore, A. M., Lee, S. E., & Kunz, G. (2004). Individual differences, motivations, and willingness to use a mass customization option for fashion products. European Journal of Marketing, 38(7), 835-849. 
[26]	Fiore, A. M., Lee, S. E., Kunz, G., & Campbell, J. (2001). Relationships between optimum stimulation level and willingness to use mass customisation options. Journal of Fashion Marketing and Management, 5(2), 99-107. 
[27]	Fowler, S. W., King, A. W., Marsh, S. J., & Victor, B. (2000). Beyond products: New strategic imperatives for developing competencies in dynamic environments* 1. Journal of Engineering and Technology Management, 17(3-4), 357-377. 
[28]	Miller, D. (1988). Relating porter's business strategies to environment and structure: Analysis and performance implications. Academy of Management Journal, 31(2), 280-308.
[29]	Green, P. E., & Krieger, A. M. (1991). Segmenting markets with conjoint analysis. Journal of Marketing, 55(4), 20-31. 
[30]	Green, P. E., & Rao, V. R. (1971). Conjoint measurement for quantifying judgmental data. Journal of Marketing Research, , 355-363. 
[31]	Green, P. E., & Srinivasan, V. (1978). Conjoint analysis in consumer research: Issues and outlook. Journal of Consumer Research, 5(2), 103-123. 
[32]	Green, P. E., & Srinivasan, V. (1990). Conjoint analysis in marketing: New developments with implications for research and practice. Journal of Marketing, 54(4), 3-19. 
[33]	Green, P. E., & Wind, Y. (1973). Multiattribute decisions in marketing: A measurement approach. Hinsdale: The Dryden Press. 
[34]	Gruner, K. E., & Homburg, C. (2000). Does customer interaction enhance new product success? Journal of Business Research, 49(1), 1-14. 
[35]	Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.) Upper Saddle River, New Jersey: Prentice-Hall International.
[36]	Häkansson, H., & Laage-Hellman, J. (1984). Developing a network R&D strategy. Journal of Product Innovation Management, 1(4), 224-237. 
[37]	Hamel, G., Doz, Y. L., & Prahalad, C. K. (1989). Collaborate with your competitors and win. Harvard Business Review, 67(1), 133-139. 
[38]	Helander, M., & Khalid, H. (1999). Customer needs in web-based do-it-yourself product design. Paper presented at the Proceedings of the 10th Anniversary of M. Sc. Ergonomics International Conference, Lulea, Sweden, 9-14. 
[39]	Helper, S. (1991). Strategy and irreversibility in supplier relations: The case of the US automobile industry. The Business History Review, 65(4), 781-824. 
[40]	Huang, C. L., & Fu, J. (1993). Consumer preferences and evaluations of a processed meat product. Journal of Food Distribution Research, 24(1), 149-157. 
[41]	Kaul, A., & Rao, V. R. (1995). Research for product positioning and design decisions: An integrative review* 1. International Journal of Research in Marketing, 12(4), 293-320. 
[42]	Kim, G., Kim, A., & Sohn, S. Y. (2009). Conjoint analysis for luxury brand outlet malls in korea with consideration of customer lifetime value. Expert Systems with Applications, 36(1), 922-932. 
[43]	Kotha, S. (1995). Mass customization: Implementing the emerging paradigm for competitive advantage. Strategic Management Journal, 16(S1), 21-42. 
[44]	Koufteros, X., Vonderembse, M., & Jayaram, J. (2005). Internal and external integration for product development: The contingency effects of uncertainty, equivocality, and platform strategy. Decision Sciences, 36(1), 97-133. 
[45]	Krishnan, V., & Ulrich, K. T. (2001). Product development decisions: A review of the literature. Management Science, 47(1), 1-21. 
[46]	Lai, X., Xie, M., Tan, K. C., & Yang, B. (2008). Ranking of customer requirements in a competitive environment. Computers & Industrial Engineering, 54(2), 202-214. 
[47]	Lee, M., & Lou, Y. C. (1996). Consumer reliance on intrinsic and extrinsic cues in product evaluations: A conjoint approach. Journal of Applied Business Research, 12(1), 21-29. 
[48]	Li, H., Bingham, J. B., & Umphress, E. E. (2007). Fairness from the top: Perceived procedural justice and collaborative problem solving in new product development. Organization Science, 18(2), 200-216. 
[49]	Liao, C. S., & Lee, C. W. (2010). The application of codesign in new bra product innovations. International Journal of Clothing Science and Technology, 22(2/3), 221-227. 
[50]	Littler, D., Leverick, F., & Bruce, M. (1995). Factors affecting the process of collaborative product development: A study of UK manufacturers of information and communications technology products. Journal of Product Innovation Management, 12(1), 16-32. 
[51]	Luce, R. D., & Tukey, J. W. (1964). Simultaneous conjoint measurement: A new type of fundamental measurement. Journal of Mathematical Psychology, 1(1), 1-27. 
[52]	Mahajan, V., Green, P. E., & Goldberg, S. M. (1982). A conjoint model for measuring self-and cross-price/demand relationships. Journal of Marketing Research, 19(3), 334-342. 
[53]	Malhotra, N. K. (2010). Marketing research: An applied orientation (6th ed.). New Jersey: Pearson Education. 
[54]	Michalek, J. J., Feinberg, F. M., & Papalambros, P. Y. (2005). Linking marketing and engineering product design decisions via analytical target cascading*. Journal of Product Innovation Management, 22(1), 42-62. 
[55]	Miller, D. (1988). Relating porter's business strategies to environment and structure: Analysis and performance implications. Academy of Management Journal, 31(2), 280-308. 
[56]	North, E. J., De Vos, R. B., & Kotze, T. (2003). The importance of apparel product attributes for female buyers. Journal of Family Ecology and Consumer Sciences/Tydskrif Vir Gesinsekologie En Verbruikerswetenskappe, 31, 41-51. 
[57]	Northen, J. R. (2000). Quality attributes and quality cues effective communication in the UK meat supply chain. British Food Journal, 102(3), 230-245. 
[58]	Ogawa, S., & Piller, F. T. (2006). Reducing the risks of new product development. MIT Sloan Management Review, 47(2), 65-71. 
[59]	Petersen, K. J., Handfield, R. B., & Ragatz, G. L. (2003). A model of supplier integration into new product development*. Journal of Product Innovation Management, 20(4), 284-299. 
[60]	Piller, F. (2003). Mass customization (3th ed.). Wiesbaden: Gabler.
[61]	Piller, F. (2005). Innovation and value co-creation. München: Habilitationsschrift an Der Fakultät Der Wirtschaftswissenschaften Der Technischen Universität München.
[62]	Piller, F., Schubert, P., Koch, M., & Möslein, K. (2005). Overcoming mass confusion: Collaborative customer co-design in online communities. Journal of Computer-Mediated Communication, 10(4). 
[63]	Piller, F. T., & Müller, M. (2004). A new marketing approach to mass customisation. International Journal of Computer Integrated Manufacturing, 17(7), 583-593. 
[64]	Pine, B. J., & Davis, S. (1993). Mass customization Boston: Harvard Business School Press. 
[65]	Pine, B. J., & Gilmore, J. H. (1999). The experience economy: Work is theatre & every business a stage Harvard Business Press. 
[66]	Ramaswamy, V. (2008). Co-creating value through customers' experiences: The nike case. Strategy & Leadership, 36(5), 9-14. 
[67]	Ramirez, R. (1999). Value co-production: Intellectual origins and implications for practice and research. Strategic Management Journal, 20(1), 49-65. 
[68]	Ricard, M. D., Schulties, S. S., & Saret, J. J. (2000). Effects of high-top and low-top shoes on ankle inversion. Journal of Athletic Training, 35(1), 38-43. 
[69]	Rifkin, J. (2001). The age of access Penguin Books. 
[70]	Schiffman, L. G. & Kanuk, L. L. (2000) Consumer Behavior(7th ed.). Prentice Hall, Inc.
[71]	Sorenson, D., & Bogue, J. (2005). A conjoint-based approach to concept optimisation: Probiotic beverages. British Food Journal, 107(11), 870-883. 
[72]	Steenkamp, J. B. E. M. (1989). Product quality: An investigation into the concept and how it is perceived by consumers. The Netherlands: Van Gorcum, Assen. 
[73]	Stochetti, A., & Volpato, G. (2001). Integrating the automotive supply chain managing information flows in supplier–customer relationships: Issues, methods and emerging problems. Paper presented at the Cockeas Meeting, 4–5. 
[74]	Sturgeon, T. J., Memedovic, O., Van Biesebroeck, J., & Gereffi, G. (2009). Globalisation of the automotive industry: Main features and trends. International Journal of Technological Learning, Innovation and Development, 2(1), 7-24. 
[75]	Szybillo, G. J., & Jacoby, J. (1974). Intrinsic versus extrinsic cues as determinants of perceived product quality. Journal of Applied Psychology, 59(1), 74-78. 
[76]	Szykman, S., Fenves, S. J., Keirouz, W., & Shooter, S. B. (2001). A foundation for interoperability in next-generation product development systems. Computer Aided Design, 33(7), 545-559. 
[77]	Thomas, R. (1993). New product development: Managing and forecasting for strategic success. New York: John Wiley. 
[78]	Thomas, R. J. (1995). New product development. New York: John Wiley & Sons. 
[79]	Tseng, M. M., & Du, X. (1998). Design by customers for mass customization products. CIRP Annals-Manufacturing Technology, 47(1), 103-106. 
[80]	Turnbull, P., Oliver, N., & Wilkinson, B. (1992). Buyer-supplier relations in the UK-automotive industry: Strategic implications of the japanese manufacturing model. Strategic Management Journal, 13(2), 159-168. 
[81]	Ulrich, K. T., & Eppinger, S. D. (2003). Product design and development Irwin/McGraw-Hill New York. 
[82]	Ulrich, P. V., Anderson-Connell, L. J., & Wu, W. (2003). Consumer co-design of apparel for mass customization. Journal of Fashion Marketing and Management, 7(4), 398-412. 
[83]	Van Trijp, H. C. M., & Schifferstein, H. N. J. (1995). Sensory analysis in marketing practice: Comparison and integration. Journal of Sensory Studies, 10(2), 127-147. 
[84]	Veale, R., & Quester, P. (2009). Tasting quality: The roles of intrinsic and extrinsic cues. Asia Pacific Journal of Marketing and Logistics, 21(1), 195-207. 
[85]	Von Hippel, E. (1998). Economics of product development by users: The impact of" sticky" local information. Management Science, 44(5), 629-644. 
[86]	Wittink, D. R., & Cattin, P. (1989). Commercial use of conjoint analysis: An update. Journal of Marketing, 53(3), 91-96. 
[87]	Wu, F. G., & Chen, C. Y. (2009). Effects of color display, color name, color formation and color alignment on the screen layout usability of customized product color combinations. International Journal of Industrial Ergonomics, 39(5), 655-666. 
[88]	Yoo, D., Zimmerman, J., Steinfeld, A., & Tomasic, A. (2010). Understanding the space for co-design in riders' interactions with a transit service. Paper presented at the Proceedings of the 28th International Conference on Human Factors in Computing Systems, 1797-1806. 
三、參考網站部分
[1]	誠品書局(2010)
http://student.jajh.tp.edu.tw/art/eslite.htm
[2]	愛迪達(2010)
http://www.adidas.com/running/tw/products/footwear
[3]	NIKE ID(2010)
http://nikeid.nike.com/nikeid/index.jsp#home
[4]	維基百科-NIKE ID(2010)
http://nikeid.nike.com/nikeid/#home
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