簡易檢索 / 詳目顯示

研究生: 李婉怡
Li, Wan-Yi
論文名稱: 老化理論結合系統動力學探討消費性產品購買行為
A System Dynamics Aging Model for Consumer Product Purchase Behavior
指導教授: 耿伯文
Kreng, Victor B.
學位類別: 碩士
Master
系所名稱: 管理學院 - 工業與資訊管理學系
Department of Industrial and Information Management
論文出版年: 2011
畢業學年度: 99
語文別: 中文
論文頁數: 84
中文關鍵詞: 系統動力學消費者行為老化理論
外文關鍵詞: System Dynamics, Customer Behaviors, Aging Theory
相關次數: 點閱:122下載:0
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
  • 消費者行為會因企業資源投入事件價值會因為能量價值變動而受到影響。當產品投入資源處在事件變數下,預測模式根據情境演變進行合理的調整是必須的;老化理論(Aging Theory)的提出,提供對一連續事件的生命行為評估;其理論把任何欲評估之項目視為事件(Event),而包含在此事件中的能量價值(Energy Value)表示此事件的熱門程度,一旦此能量價值隨著時間衰退且沒有新資源挹注的話,事件的熱門性將會遞減,代表事件的價值也將衰退。本研究擬以專利數量及產品銷售量分別代表此老化理論中的事件能量價值支援事件,輔以老化理論中所提出的兩種情境模式融合消費者行為階段性模式,建構普適性的產品事件評估模型,即時地預測其能量價值,以動態的觀點評估特殊事件內含變數,進而利用化妝品產業市場機制與產品策略評估整體產業之事件週期與潛在價值,並透過研究結果提供產品的發展策略。由於產品生命階段各具有不同特性,研究結合老化理論與系統動力學,提供一個動態且完整的事件週期趨勢分析模式;此外,系統動力學(System Dynamics)建構模型可分析各階段銷售變化重要影響因素,並了解其中因果關係,建立系統性思考架構,利用不同的情境分析,了解對於不同型態事件資源投入重要性,並且幫助決策者了解系統間互動與關聯性,做出良好的決策。

    Customer behaviors will change because of the event energy effected by the enterprise resource distribution. The aging theory maps the development of an event into an energy value, which indicates the event’s status and is used to predict its possible life span. A high energy value implies that the event is popular, while a low energy value implies that it is out of favor. This study will use the patent number and sale data to estimate the event energy value. We present two aging schemes, growth only and constant decay (CD), to calculate an event’s accumulative support about customer behaviors. Using dynamic view constructs a suitable structure to estimate the market mechanism and product strategies. In order to the product life stages have different characteristics, our study is designed to propose system dynamics aging model that provides a dynamic and more integrated model to analysis the target trend about the event life cycle. Otherwise, system dynamics model could analysis the key variables which affect the graduations of customer behaviors, finding out the relation between cause and effect and building systemic thinking structure. By using different simulation situations, we could find out the resource distribution’s importance about different event, and help policy-makers to establish suitable decisions.

    摘要 III ABSTRACT IV 致謝 V 目錄 VI 表目錄 VIII 圖目錄 IX 第一章 緒論 1 第一節 研究動機與背景 1 第二節 研究目的 2 第三節 研究範圍與限制 4 第四節 研究流程 5 第二章 文獻探討 6 第一節 消費者行為理論 6 2.1.1 消費者行為定義 6 2.1.2 消費者行為模式 6 第二節 老化理論文獻探討 14 2.2.1 老化理論源起與簡介 14 2.2.2 老化理論模式建構之事件偵測與追蹤 14 第三節 系統動力學文獻探討 20 2.3.1 系統動力學源起與簡介 20 2.3.2 系統動力學理論基礎 21 2.3.3 系統動力學模型建構 23 2.3.4 系統動力學之應用 28 2.3.5 系統動力學結合產品市場機制之文獻探討 29 第三章 研究方法 31 第一節 研究架構 31 第二節 研究模式 33 3.2.1 消費者購買行為建構模式 33 3.2.2 老化模型參數估計 38 第三節 小結 42 第四章 情境模擬與分析 44 第一節 研究個案L’ORÉAL集團背景與歷史資料 44 4.1.1 L’Oréal 集團 44 4.1.2 歷史資料與老化參數估計 49 第二節 情境模擬分析 54 4.2.1化妝品(Cosmetic Product)與醫學美容產品(Dermatology Product)基礎模型模擬比較分析 55 4.2.2 消費者使用經驗(Adoption from User Experience)模擬分析 62 4.2.3 產品吸引力(Product Attractiveness)模擬分析 66 第五章 結論與建議 71 5.1 結論 71 5.2 未來研究方向 72 參考文獻 74 附錄一 資料蒐集 78 附錄二 VENSIM公式 80

    Alan, R. Andreasen. (1967). Leisure, Mobility and Life Style Pattern. AMA Conference Proceedings.

    Alfred, S. Boote. (1981). Market Segmentation by Personal values and Salient Product Attributes. Journal of Advertising Research 21, no.1.

    Bass, F. (1969). A new product growth for model consumer durables. Management Science, 15(5), 215-227.

    Blackwell, R. D., Engel, J. F., & Miniard, P. W .(2000). Consumer Behavior The Drained Press, 7th Ed.

    Chan, S. L., W. H. Ip, et al. (2010). "A model for predicting customer value from perspectives of product attractiveness and marketing strategy." Expert Systems with Applications 37(2): 1207-1215.

    Chen, C. C., Y.-T. Chen, et al. (2003). "Life Cycle Modeling of News Events Using Aging Theory". Machine Learning: ECML 2003, Springer Berlin / Heidelberg. 2837: 47-59.
    Chen, C. C., Y.-T. Chen, et al. (2007)."An Aging Theory for Event Life-Cycle Modeling," Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on , vol.37:237-248.

    Chu, W. L., Wu, F. S., Kao, K. S., & Yen, D. C. (2009). Diffusion of mobile telephony: An empirical study in Taiwan. Telecommunications Policy, 33(9), 506–520.

    Cohen, M. A. and S. Whang (1997). "Competing in Product and Service: A Product Life-Cycle Model." Management Science 43(4): 535-545.

    Davies, S. (1979). The diffusion of process innovations: Cambridge University Press.

    De Cannière, M. H., P. De Pelsmacker, et al. (2009). "Relationship Quality and the Theory of Planned Behavior models of behavioral intentions and purchase behavior." Journal of Business Research 62(1): 82-92.

    Engel, J. F., D. (1973). Kollat and R. D. Blackwell, Consumer Behavior, 2nd ed. Rinehart and Winston Inc.

    Engel, J. F., Blackwell, R, D., & Miniard, P. W. (1993). Consumer Behavior. The Dryden Press, 8th ed.

    Fan, Y., Yang, R. G., & Wei, Y. M. (2007). A system dynamics based model for coal investment. 32, 898-905.
    Ford, A. (1997). System dynamics and the electric power industry. System Dynamics Review, 13(1), 57-85.

    Forrester, J. (1969). Urban dynamics, MIT Press.

    Forrester, J. and J. Warfield (1972). "World dynamics." IEEE Transactions on Systems, Man and Cybernetics 2(4): 558-559.

    Kamath, N. B., & Roy, R. (2007). Capacity augmentation of a supply chain for a short lifecycle product: A system dynamics framework. European Journal of Operational Research, 179(2), 334-351.

    Khalil, T. (2000). Management of technology: the key to competitiveness and wealth creation: McGraw-Hill.

    Kotler, P. (1997). Marketing Management: Analysis, Planning Implementation and Control, 9th ed. Prentice-Hall Inc.

    Kwasnicki, W., & Kwasnicka, H. (1996). Long-term diffusion factors of technological development: an evolutionary model and case study. Technological Forecasting and Social Change, 52(1), 31-58.

    Lyneis, J. (2000). System dynamics for market forecasting and structural analysis. System Dynamics Review, 16(1).

    Martin Stephen, F., & Christine, A. (1989). Accuracy of econometric forecasts of tourism. Annals of Tourism Research, 16(3), 407-428.

    McColl-Kennedy, J. R., P. G. Patterson, et al. (2009). "Customer Rage Episodes: Emotions, Expressions and Behaviors." Journal of Retailing 85(2): 222-237.

    Meade, N. (1984). The use of growth curves in forecasting market development-a review and appraisal. Journal of Forecasting, 3(4), 429¡V451.

    Messner, S. (1997). Endogenized technological learning in an energy systems model. Journal of Evolutionary Economics, 7(3), 291-313.

    Milling, P. M. (1996). Modeling innovation processes for decision support and management simulation. System Dynamics Review, 12(3), 211-234.

    Nguyen, D., & Shi, L. (2006). Competitive advertising strategies and market-size dynamics: A research note on theory and evidence. Management Science, 52(6), 965–973.

    Wong, H.-K. and P. D. Ellis (2007). "Is market orientation affected by the product life cycle?" Journal of World Business 42(2): 145-156.

    Paich, M., & Sterman, J. D. (1993). BOOM, BUST, AND FAILURES TO LEARN IN EXPERIMENTAL MARKETS. Management Science, 39(12), 1439-1458.

    Peter, J.P. and Olson, J.C. (1990). Consumer Behavior and Marketing Strategy, Richard D. Irwin Inc.

    Poh, K., & Kong, H. (2002). Renewable energy in Malaysia: a policy analysis. Energy for Sustainable Development, 6(3), 31-39.

    Rogers, E. (1995). Diffusion of innovation: The Free Press New York.

    Roger, D. Blackwell, James F. Engle, Paul W. (2000). Miniard,Consumer Behavior In L. Hastert (7th Ed).

    Schiffman, L.G. and L.L Kanuk. (2001). Consumer Behavior, 2nd ed., New Jersey Prentice-Hall.

    Stave, K. (2002). Using system dynamics to improve public participation in environmental decisions. System Dynamics Review, 18(2), 139-167.

    Stave, K. (2003). A system dynamics model to facilitate public understanding of water management options in Las Vegas, Nevada. Journal of Environmental Management, 67(4), 303-313.

    Sterman, J. (1986). The economic long wave: Theory and evidence. System Dynamics Review, 2(2).

    Sterman, J. (2000). Business dynamics: Systems thinking and modeling for a complex world with CD-ROM, Irwin/McGraw-Hill.

    Sweeney, J. and J. Swait (2008). "The effects of brand credibility on customer loyalty." Journal of Retailing and Consumer Services 15(3): 179-193.

    林世鳳. (2006). 女性消費者化妝品購買行為探討-以台南市女性消費者為例. 國立成功大學

    楊朝仲, 張良正, 葉欣誠, &葉昭憲. (2007).系統動力學思維與應用─System Dynamics: 五南圖書.

    詹堯安. (2006).由系統動力學觀點探討多代擴散模型─以台灣行動電信產業為例. 國立清華大學.

    參考網站
    http://www.loreal.com/_en/_ww/index.aspx

    無法下載圖示 校內:2021-07-19公開
    校外:不公開
    電子論文尚未授權公開,紙本請查館藏目錄
    QR CODE