臺灣博碩士論文加值系統

隨著臺灣自行車產業在世界佔有一席之地，而過去自行車產業之服務發展和自行車騎乘者之情境快速變化，並加速促成臺灣自行車島的形成，自行車產業服務顯然是生產端與消費端最重要的介面，並希望藉由新的程序和設計來創造新的顧客價值。然而應用科技改善服務不只牽涉到消費者接受，也涉及開發過程中如何歸納與收斂質性的資料，例如:體驗記錄、焦點論壇等。過去的創新理論著重在服務設計之程序，但是缺乏一個視覺化和情境方式為基礎之分析工具。因此，本研究以淡水金色水岸自行車騎乘體驗情境為例，針對自行車騎乘者之基本資料、騎乘配備、騎乘路線、騎乘動機、騎乘環境來探討，並採用機會探索理論配合視覺化工具之開發，讓自行車專家可以快速涉入不同自行車消費情境，並且使專家藉由自行車消費情境透過ICT( Information and Communication Technology)技術達到自行車服務之創新。本研究透過專家論壇了解專家端所推薦之八項自行車創新服務，與自行車騎乘者需求端相互比較下，發現專家所推薦之服務與實際自行車騎乘者需求端有所差異，這項發現改變了過去以專家為主要推薦服務，所以透過本研究研究方法可使未來的服務更貼近消費者的需求。

Taiwan's bicycle industry is leading in the world. In the past, the service development of bicycle industry and the situation of bicycle rider are rapidly changing, and accelerating the process of "Taiwan's bike land". Bicycle Services is clearly the production side and consumption side of the most important interface, and hope with the new procedures and design to create new customer value. However, application technology to improve services not only involves the consumer to accept, but also involves in the development process how to induct and converge qualitative data. For example: experience records, the focus forum. In the past, innovation theory stress in service design process, but the lack of a way of visualization and situational analysis tool. Therefore, this study focuses on the Tamsui bicycle rider experience situations. Bicycle rider to explore for the basic information, riding equipment, riding routes, riding motivation, riding environment, and using “Chance discover” with visual development tools. So experts can quickly involve with different bicycle consumption situation, and experts attain bicycle service innovation by bicycle consumption situation through the ICT (Information and Communication Technology) technology. The study by experts recommended by the Forum understand the expert end of the eight bike innovative services, and the bike rider demand-side compared with each other, and find the services recommended by the experts and the actual end of a bike rider needs are different, the changes found the past, experts recommended as the main service, the research methodology of this study will enable future services closer to consumers.

目錄
目錄 I
圖目錄 III
表目錄 IV
第一章 緒論 1
第一節 研究背景與動機 1
第二節 研究目的 2
第三節 研究架構 3
第二章 文獻探討 4
第一節 自行車島 4
第二節 自行車騎乘者類別 9
第三節 機會探索理論 11
第四節 創新服務 16
第三章 研究方法 19
第一節 資料蒐集 19
第二節 資料處理 22
第三節 資料分析 24
第四節 視覺化與討論 25
第四章 分析結果與討論 27
第一節 資料說明 27
第二節 騎乘資料統計 28
第三節 路線情境分析 29
第四節 動機情境分析 32
第五節 騎乘環境情境分析 34
第六節 專家論壇 37
第五章 結論與建議 42
第一節 研究發現 42
第二節 研究限制 43
第三節 未來研究方向與建議 43
參考文獻 45
附錄 49

圖目錄

圖1-1研究架構圖 3
圖2-1共同出現關聯圖 14
圖2-2KeyGraph示意圖 15
圖2-3雙螺旋模型圖 15
圖3-1研究流程 19
圖3-2 資料蒐集方法 19
圖3-3 資料處理步驟 22
圖3-4 資料分析步驟 24
圖3-5 視覺化流程圖 25
圖4-2騎乘者與路線情境關聯圖 30
圖4-3騎乘者路線地圖 31
圖4-4動機情境百分比圖 33
圖4-5騎乘環境百分比圖 35
圖4-6騎乘環境關聯圖 36
圖4-7專家端評分長條圖 39
圖4-8自行車創新服務關聯圖 40
圖4-9消費端betweenness長條圖 41

表目錄

表2-1自行車島形成脈絡 6
表3-1觀察法觀察之現象 20
表3-2編碼表 23
表4-1字詞頻率表 27
表4-2騎乘資料統計表 28
表4-3路線情境統計表 29
表4-4路線情境中介性統計表 31
表4-5動機情境統計表 32
表4-6動機情境中介性統計表 34
表4-7騎乘環境統計表 35
表4-8騎乘環境中介性統計表 36
表4-9 專家背景統計表 38

參考文獻
中文部分
1.尤子彥（2008）。商業周刊。第 1062 期。
2.自行車暨健康科技工業研究發展中心（2004）。
3.林俊宏(2002)。捷運車站腳踏車停車需求。
4.張馨文(2005)。自行車騎士遊憩環境偏好差異之研究-以北海岸國家風景區為例。
5.廖明豐(2003)。東豐自行車綠廊之遊憩吸引力、服務品質與遊客滿意度及忠誠。
6.劉皓寧(2002)。腳踏車轉乘捷運之使用者偏好研究--以明德站、六張犁站與七張站為例。
英文部分
1.Afuah, A. (2003). Innovation management: Strategies, implementation, and profits. NY:Oxford.
2.Ajzen, I., Driver, B.L. (1992). Application of the theory of planned behavior to leisure choice. Journal of Leisure Research, 24(3):207-224.
3.Allen, D.P., Rouphail, N., Hummer, J.E., and Milazzo, J.S. (1998). Operational analysis of 13 uninterrupted bicycle facilities. Transportation Research Record: Journal of the Transportation Research Board, 29-36.
4.Andrea, O. & Maglio, P. P. (2009). Market Orientation, Internal Process, and External Network: A Qualitativen Comparative Analysis of Key Decisional Alternatives in the New Service Development. Decision Sciences, Vol.40, No.3, 601-625.
5.Antonkos, Cathy L. (1993). Environmental and travel preferences of cyclists, The University of Michigan.
6.Berry, M. J. A. & Linoff, G. (2000). Mastering Data Mining:The Art & Science of Customer Relationship Management. Wiley & Sons, Inc.
7.Betz, F. (1993). Managing technology competing through new venture, innovation, and corporate research. NJ: Prentice Hall.
8.Bromley, P. (1994). Countryside Recreation: A Handbook for Managers, E&FN SPON, London.
9.Bryson, J. R., & Monnoyer, C. (2004). Understanding the relationship between services and innovation: The RESER review of the European service literature on innovation. The service industries Journal, Vol.24, No1, 205-222.
10.Coleman, D. (1993). Leisure based social support, leisure dispositions and health. Journal of Leisure Research, Vol.25, No.4, 350-361.
11.Danneels, E., & Kleinschmidt, E. J. (2001). Product Innovativeness from the Firm’s Perspective: Its Dimensions and Their Elation with Project Selection and Performance. Journal of Product Innovation Management. Vol.18, 357-373.
12.Degenne, A. & Forse, M. (1999). Introducing social networks. London: Sage Publications.
13.Druker, P. F. (1985). Innovation and Entrepreneurship. New York: Harper and Row.
14.Frankle. (1990), Management of Technological Change. Kluwer Academic.
15.Gallouj, F. & Savona, M. (2009). Innovation in services: a review of the debate and a research agenda. J Evol Econ, Vol.19, 149-172.
16.Group, F. H., & Owrang, M. M. (1995).Database mining: Discovering new knowledge and cooperative advantage. Information System Management, Vol.12, No.4, 26-33.
17.Higgins, J.M. (1996). The core competence: Innovation. Planning Review. Vol.23, No.6, 32-35.
18.Hong , C. F. (2009), Qualitative Chance Discovery – Extracting Competitive Advantages, Information Sciences, Vol.179, 1570-1583.
19.Jing, L., Huang, H., and Shi, H. (2002). Improved feature selection approach tfidf in text mining. Proceedings of the First International Conference on Machine Learning and Cybernetics, Beijing.
20.Kevin, J., Krizek (2004) .Estimating the Economic Benefits of Bic0ycling and Bicycle Facilities, Essays on Transportation Economics.
21.Krackhardt, D., & Hanson, J. (1993). Informal Networks: The Company Behind the Chart. Harvard Business Review, Vol. 71, No. 4, 104-111.
22.Landry, R., Amara, N., & Lamari, M. (2002). Does social capital determine innovation? To what extent? Technological Forecasting and Social Change, Vol.69, No.5, 681-701.
23.Losiewicz, P., Oard, D. W., & Kostoff, R. N. (2000). Textual data mining to support science and technology management. Journal of Intelligent Information Systems, Vol.15, 99-119.
24.Lumsdon, L. (2000).Transport and tourism: Cycle tourism: A model for sustainable development? Journal of Sustainable Tourism, VOl.8, No.5, 361-373
25.Ohsawa, Y. (2003). KeyGraph Visualized Structure Among Event Clusters, Chance Discovery, Springer, Berlin, Heidelberg, New York.
26.Ohsawa,Y., Benson, N. E &. M. Yachida (1998). KeyGraph: Automatic indexing by co-occurrence graph based on building construction metaphor, Proceedings of the Advances in Digital Libraries Conference, Santa 48 Barbara, CA, 12–18.
27.Rasanen, & Ilmari, M. (2000).Traffic environment, priority regulation and behavior in bicycle crossing accidents, TRANSPORTATION.
28.Raymond, J., Mooney, & Nahm, U.Y. (2003). Text Mining with Information Extraction. Multilingualism and Electronic Language Management: Proceedings of the 4th International MIDP Colloquium. 141-160.
29.Riffe, D., Lacy, S., & Fico, F. G. (2005). Analyzing media messages: using quantitative content analysis in research. Lawrence Erlbaum, Mahwah, New Jersey, USA.
30.Ritchie, B. W. (1998). Bicycle tourism in the South Island of New Zealand: Planning and management issues. Tourism Management, Vol.9, No.6, 567-582.
31.State, N.Y. (2002).Bicycle Master Plan for the Adirondack North County Region of New York State.
32.Sullivan, D. (2001). Document Warehousing and Text Mining. John Wiley & Sons.
33.Tan, A.H. (1999). Text Mining: The state of the art and the challenges, In proceedings of the Pacific Asia Conf on Knowledge Discovery and Data Mining PAKDD’99 workshop on Knowledge Discovery from Advanced Databases.
34.Tax, S. S., & Stuart, I. (1997). Designing and implementing new services: The challenges of integrating service systems. Journal of Retailing, Vol.73, 105‐134.
35.Thomke, S. (2003), R&D comes to services: Bank of America’s path breaking experiments, Harvard Business Review, Vol. 81, No. 4, 71-9.
36.Waerden, P., Borgers, A., & Timmermans, H. (2004). Cyclist’s perception and evaluation of street characteristics. TRB Annual Meeting CD-ROM.
37.Zikmund, W. (2003). Business Research Methods. Baker & Tayl.