| 研究生: |
羅國倫 Lo,Kuo Lun |
|---|---|
| 論文名稱: |
以預測市場理論為基礎之服務概念設計工程 Service Concept Design Engineering with the Prediction Market Theory |
| 指導教授: |
苑守慈
Yuan,Soe Tsyr |
| 學位類別: |
碩士
Master |
| 系所名稱: |
商學院 - 資訊管理學系 Department of Management Information System |
| 論文出版年: | 2008 |
| 畢業學年度: | 96 |
| 語文別: | 中文 |
| 論文頁數: | 124 |
| 中文關鍵詞: | 服務科學 、概念設計 、預測市場 、概念工程 、服務設計 |
| 外文關鍵詞: | Service Science, Concept Design, Predication Market, Concept Engineering, Service Design |
| 相關次數: | 點閱:207 下載:147 |
| 分享至: |
| 查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
本研究將原有概念工程的服務設計方法,結合預測市場的理論,設計出一套新的概念設計流程,就是因為服務業的特性與傳統製造業的模式大不相同。過去單方面的由公司或是廠商設計產品,顧客只能從現有產品中挑選買單的狀況將越來越不復存在。在未來服務業的世界中,越發重視與顧客間的互動,在設計的過程中就與顧客有高度的互動,強調服務是與顧客共同創作的成品,服務永遠沒有最後的完成版本,只有不斷因應環境與顧客需求改變的beta測試版本。就是因為加入人這樣極度不安定的因素,造成整體服務在設計上的困難,除此之外,也由於需要顧客的高度參與也導致設計時間成本的激增,環境的瞬息萬變,無法即時掌握顧客的需要並快速做出反應,無論是在現在與未來都將是嚴重的致命傷,也因此組織與個人都將面臨嚴峻的考驗。如何在服務水準與開發成本之間取得一個平衡點,正是本研究所希望能提供的。
In service exchange, both providers and customers are involved in shaping the continuum of value co-production. Combining the concepts of prediction market and concept engineering, service concept design engaged by providers and customers can become much efficient and economical. The providers and customers in service industry are changing all the time. In this industry, there are many uncertain factors to consider and it is important for a design team to establish the relationship with their customers and unfold a service concept design process which can meet consumers’ expectations and needs. This study proposes an IT-enabled process of new service concept design grounded on the analytical model of precision market to achieve the design goal while minimizing the concept development cost by collective customer involvement. This IT-enabled service concept design process comprises four parts (Collecting the voice of the customers, Requirement rater, Concept generator and Concept selector) unfolding the customer-based design of new service concepts in order to meet the customer needs and potentially improve customer satisfaction in light of the uncertainty and the dynamics in what the customers want for services.
第壹章 緒論 1
第一節、研究背景 1
第二節 研究動機 4
第三節 研究問題 7
第四節 研究目的與預期貢獻 8
第貳章 文獻探討 10
第一節 服務科學與服務設計 10
第二節 概念發展設計 13
第三節 資訊超載 17
第四節 預測市場 20
第参章 研究方法 36
第一節、蒐集顧客心聲(COLLECT THE VOICE OF THE CUSTOMER) 36
第二節、系統架構 40
第三節、REQUIREMENT RATER 41
第四節、CONCEPT GENERATOR 45
第五節、CONCEPT SELECTOR 48
第六節、結論 63
第肆章 實驗設計與結論 64
第一節、實驗環境 64
第二節、實驗目的與評估 70
第三節、實驗結果與評估 72
第伍章 系統架構 92
第一節 組成元件與功能 93
第二節 系統畫面與流程 95
第三節 I-NETWORK整體研究架構 102
第陸章 結論與未來研究方向 108
第一節 結論 108
第二節 本研究之現有限制 111
第三節 未來研究方向 111
參考文獻 113
[1]. Abramowicz, M. (2006) Predictive Decisionmaking, George Washington University Law School Virginia Law Review, Vol. 92, pp.4-13.
[2]. Alonso-Rasgado, M.T.,THOMPSON, G. and Dannemark, O.J. (2004) State of The Art in Service Design and Modeling, pp.16-21
[3]. Bartlett, C.J. and Calvin, G. (1966) Clinical Prediction: Does One Sometimes Know Too Much? Journal of Counseling Psychology, 13, pp. 267-270.
[4]. Bawden, D., Holtham, C. and Courtenay, N. (1999) Perspectives on Information Overload, Aslib Proceedings, 51 (8), pp. 249-255.
[5]. Bettman, J. R. (1979) Decision Net Models of Buyer Information Processing and Choice: Findings, Problems and Prospects, in Buyer/Consumer Information Processing, G.D. Hughes and M. L. Ray, eds., Chapel Hill: University of North Carolina Press, pp. 59-74.
[6]. Bettman, J. R. and Zins, M. A. (1979) Information Format and Choice Task Effects in Decision Making, Journal of Consumer Research, 4, pp. 141-153.
[7]. Bitran, G. and Pedrosa, L. (1998) ”a structured product development perspective for service operation” European Management Journal, Volume 16, Number 2, April 1998 , pp. 169-189(21)
[8]. Boyle, G. and Videbeck, S. (2005) A Primer on Information Markets. ISCR, Victoria University of Wellingto, pp. 2-7
[9]. Braunstein, M. L. (1976) Depth Perception through Motion, New York: Academic Press
[10]. Broadbent, D. E. (1975) The Magic Number Seven After Fifteen Years, in Studies in Long Term Memory, eds., Alan Kennedy and Alan Wilkes, London: John Wiley & Sons, p.p. 1-18.
[11]. Burchill, G. W. and Shen, D. (1992) Concept Engineering: The Key to Operationally Defining Your Customer’s Requirements. Center for Quality Management Cambrige, MA.
[12]. Chesbrough, H. and Spohrer, J. (2006) “A Research Manifesto for Services
[13]. Dudycha, L. W. and Naylor, J. C. (1966) Characteristics of the Human Inference Process in Complex Choice Behavior Situations, Organizational Behavior and Human Performance, 1(September), pp. 110-128.
[14]. Griffin, A. and Houser, J. R. (1993) The Voice of The Customer. Marketing, Marketing Science, Vol. 12, 1, pp. 1-27
[15]. Hanson, R. and Ryan O. (2004) Manipulators Increase Information Market Accuracy , working paper, http://hanson.gmu.edu/biashelp.pdf
[16]. Hayes, J. R. (1964) Human Data Processing Limits in Decision Making, in E. Bennett, ed., Information System Science and Engineering, New York: McGraw-Hill Book Company
[17]. Iselin, E. R. (1988) The Effects of Information Load and Information Diversity on Decision Quality in a Structured Decision Task, Accounting, Organizations and Society, 13(2), pp. 147-164.
[18]. Jacoby, J., Donald E. S., and Carol A. K. (1974b) Brand Choice Behavior As a Function of Information Load, Journal of Marketing Research, 11, pp. 63-69.
[19]. Jacoby, J., Donald, E. S. and Carol, A. K. (1974a) Brand Choice Behavior as a Function of Information Load: Replication and Extension, Journal of Consumer Research, 1, pp. 33-42.
[20]. Jacoby, J., Szybillo, G. J. and Jacqueline, B. S. (1977) Information Acquisition Behavior in Brand Choice Situations, Journal of Consumer Research, 3, pp. 209-216.
[21]. Keller, L. K. and Staelin, R. (1987) Effects of Quality and Quantity of Information on Decision Effectiveness, Journal of Consumer Research, 14 (September), pp. 200-213.
[22]. Ken, A. ,Daniels K. ,Kopp, D. and Murdock, B. (2004) “Analysis of 2004 Political Futures Markets” pp. 3-15
[23]. Klapp , O. E. (1986) Overload and Boredom: Essays on the Quality of Life in the Information Society, Westport, Conn.: Greenwoord Press, 2
[24]. Malhotra, N. K. (1982) Information Load and Consumer Decision Making, Journal of Consumer Research, 8, pp. 419-430.
[25]. Malhotra, N. K., Arun, K. J., and Lagakos, S. W. (1982) The Information Overload Controversy: An Alternative Viewpoint, Journal of Marketing, 46 (Spring), pp. 27-37.
[26]. Marien, M. (1994) Infoglut and Competing Problems: Key Barriers Suggesting a New Strategy for Sustainability, Futures, 26 (2), pp. 246-256.
[27]. Miller, G. A. (1956) The Magic Number Seven, Plus or Minus Two: Some Limits on our Capacity for Processing Information, Psychological Review, 63, pp. 81-97.
[28]. Nelson, M. R. (2001) We have the information you want, but getting it will cost you: Being held hostage by information overload, http://www.acm.org/crossroads/xrds1-1/mnelson.html, Retrieved October 6, 2005.
[29]. Simon, H. A. (1974) How Big Is a Chunk? Science, 183, pp. 482-488.
[30]. Stefan, L.(2007) A Field Experiment on Monetary Incentives in Prediction Markets, Second work shop on prediction markets, San Diego, California, June 2007
[31]. Thorson, E., Well, W. D. and Rogers, S. (1999) Web advertising's birth and early childhood as viewed in the pages of advertising age, Advertising and the world wide web, New Jersey: Lawrence Erlbaum Associates, Inc. pp.5-25.
[32]. Ulrich, K. and Eppinger, S. D. (1995) Product Design and Development, McGraw Hill Co,New York, NY
[33]. Wilkie, W. L. (1974) Analysis of Effects of Information Load, Journal of Marketing Research, 11 (November), pp. 462-466.
[34]. Wolfers, J. and Zitzewitz, E. (2005) “Interpreting Prediction Market Prices as Probabilities,” NBER Working Paper No. 10359.
[35]. Wolfers, J. and Zitzewitz, E. (2005) Five Open Questions About Prediction Markets, The Wharton School, University of Pennsylvania, pp. 3-21
[36]. Wolfers, J. and Zitzewitz, E. (2006) Prediction Markets In Theory And Practice, National Bureau of Economic Research, pp. 2-9
[37]. Woodruff, R. B. (1972) Measurement of Consumer’s Prior Brand Information, Journal of Marketing Research, 9, pp. 258-263.
[38]. Wright, P. (1975) Consumer Choice Strategies: Simplifying Vs. Optimizing, Journal of Marketing Research, 12 (February), pp. 60-67.
[39]. 未來事件交易所 http://nccupm.wordpress.com/