题名

以非線性區間迴歸與模糊積分分析線上音樂願意支付價格

并列篇名

Analyzing Willingness to Pay for Online Music by Nonlinear Interval Regression and Fuzzy Integral

作者

胡宜中(Yi-Chung Hu);雲家慧(Jia-Hui Yun);王仁宏(Jen-Hung Wang)

关键词

非線性區間迴歸 ; 神經網路 ; 模糊積分 ; 線上音樂 ; 願意支付價格 ; Nonlinear Interval Regression ; Neural Network ; Fuzzy Integral ; Online Music ; Willingness to Pay

期刊名称

管理與系統

卷期/出版年月

18卷3期(2011 / 07 / 01)

页次

479 - 504

内容语文

繁體中文

中文摘要

過去的調查發現消費者在使用線上音樂上,尚未付費的主要原因為「不願花費」與「覺得價格太貴」,顯示線上音樂使用者願意支付價格與線上音樂經營者之定價係值得探討的議題。由於消費者所願意支付的價格來自於不確定下的主觀評估,因此由上限與下限函數所構成之非線性區間迴歸模式可用以描述此類具不確定的評估值。本研究主要目的即在於以區間迴歸分析消費者對於線上音樂之每月願意支付價格。我們以兩個具單一隱藏層與單一輸出神經元之感知器發展非線性區間迴歸模式,且輸入節點對應到不同的評估構面。部份構面下的評估準則間由於交互作用的存在,故以非加法型模糊積分整合各準則的績效值以產生所對應構面的績效值。研究結果發現:一、所預測之價格區間幾乎包含了KKBOX與ezPeer+目前所訂定之月租費,顯示消費者對目前的收費標準一般而言是可以接受的;二、願意支付價格上下限差距大於一個標準差的使用者多透過付費管道取得音樂,且能接受的價格區間有較大的彈性,而透過付費管道取得音樂者願意支付較高的價格聆聽線上音樂;三、瞭解著作權知識者的平均願意支付價格均高於不瞭解以及不確定是否瞭解著作權知識者的平均願意支付價格,顯示強化對音樂著作權重視的必要性。

英文摘要

In the past, the investigation reveals that when consumers use online music, the major reasons they do not want to pay are ”unwilling to pay” and ”the price is too high”. It means that the issue for the online music about the consumers' willingness to pay (WTP) and the businesses' pricing is worth discussing. Due to the consumers' WTP comes from the subjective evaluation under the uncertainty, the nonlinear interval regression constructed of the functions of upper bound and lower bound can describe the uncertain estimation value. The major purpose of our study is to analyze the consumers' WTP per month for the online music by interval regression. We take two perceptrons which include single hidden layer and single output neuron to develop the nonlinear interval regression, at the same time, the input node links the different evaluation dimensions. Owing to the existence of interaction among evaluation criteria under part of dimensions, we take non-additive fuzzy integral to integrate the performance of every criterion to generate the dimension performance. Our research results are: (1) The predictive price interval between upper bound and lower bound almost includes presently monthly rental charge of KKBOX and ezPeer+. It generally reveals that the consumers can accept the charge standard at present; (2) For the difference between upper bound and lower bound of WTP is greater than one standard deviation, the consumers mostly take advantage of the channel of charge to acquire the online music, in the meantime, they can accept the price interval more flexibility and are willing to pay the higher price to listen to the online music; (3) The average WTP of the consumers who realize the copyright knowledge is higher than those who do not know and are not sure. It means to enhance the importance of music copyright is essential.

主题分类 基礎與應用科學 > 統計
社會科學 > 財金及會計學
社會科學 > 管理學
参考文献
  1. 吳建和、蔡翔斯(2003)。數位音樂商品市場消費特性之研究。運籌研究集刊,4,1-20。
    連結:
  2. 林進財、陳瑞全、陳啟斌、歐陽玉萍(2007)。E-learning學習績效運用模糊法評估。資訊管理學報,14(2),247-271。
    連結:
  3. 許碧芳、許美菁(2006)。應用德爾菲法與層級分析法建構基層醫療機構醫療資訊系統外包商評選模式。醫務管理期刊,7(1),40-56。
    連結:
  4. 曾國雄、謝嘉鴻、黃明居(2007)。模糊AHP與非加法型模糊積分法於工程承包廠商評選之研究。科技管理學刊,12(1),29-54。
    連結:
  5. Ciriacy-Wantrup, S. V., "Capital Returns from Soil-Conservation Practices," Journal of Farm Economics, Vol. 29, No. 4, 1947, pp. 1181-1196.
  6. 創市際市場研究顧問,2006,綫上音樂服務調查,http://www.insightxplorer.com/specialtopic/self_onlinemusic20060503.html。 (搜尋日期:100/06/01)
  7. Arimah, B. C.(1996).Willingness to Pay for Improved Environmental Sanitation in a Nigerian City.Journal of Environmental Management,48(2),127-138.
  8. Bailey, J. P.(1998).MIT Sloan School of Management.
  9. Batte, M. T.,Hooker, N. H.,Haab, T. C.,Beaverson, J.(2007).Putting Their Money Where Their Mouths Are: Consumer Willingness to Pay for Multi-Ingredient, Processed Organic Food Products.Food Policy,32(2),145-159.
  10. Belanger, F.,Hiller, J. S.,Smith, W. J.(2002).Trustworthiness in Electronic Commerce: The Role of Privacy, Security, and Site Attributes.The Journal of Strategic Information Systems,11(3-4),245-270.
  11. Bhattacharjee, S.,Gopal, R. D.,Lertwachara, K.,Marsden, J. R.(2006).Consumer Search and Retailer Strategies in the Presence of Online Music Sharing.Journal of Management Information Systems,23(1),129-159.
  12. Bhattacharjee, S.,Gopal, R. D.,Lertwachara, K.,Marsden, J. R.(2006).Whatever Happened to Payola? An Empirical Analysis of Online Music Sharing.Decision Support Systems,42(1),104-120.
  13. Brown, M.,Muchira, R.(2004).Investigating the Relationship between Internet Privacy Concerns and Online Purchase Behavior.Journal of Electronic Commerce Research,5(1),62-70.
  14. Carneiro, J. de D. S.,Minim, V. P. R.,Deliza, R.,Silva, C. H. O.,Carneiro, J. C. S.,Leão, F. P.(2005).Labelling Effects on Consumer Intention to Purchase for Soybean Oil.Food Quality and Preference,16(3),275-282.
  15. Chapman, J.,Wahlers, R.(1999).A Revision and Empirical Test of the Extended Price-Perceived Quality Model.Journal of Marketing Theory and Practice,7(3),53-64.
  16. Chen, T. Y.,Chang, H. L.,Tzeng, G. H.(2002).Using Fuzzy Measures and Habitual Domains to Analyze the Public Attitude and Apply to the Gas Taxi Policy.European Journal of Operational Research,137(1),145-161.
  17. Clemons, E. K.,Gu, B.,Lang, K. R.(2003).Newly Vulnerable Markets in an Age of Pure Information Products: An Analysis of Online Music and Online News.Journal of Management Information Systems,19(3),17-41.
  18. Cordell, V. V.,Wongtada, N.,Kieschnich, R. L., Jr.(1996).Counterfeit Purchase Intentions: Role of Lawfulness Attitudes and Product Traits as Determinants.Journal of Business Research,35(1),41-53.
  19. Cortes, C.,Vapnik, V.(1995).Support-Vector Networks.Machine Learning,20(3),273-297.
  20. Cuieford, J. P.(1965).Fundamental Statistics in Psychology and Education.New York:McGraw-Hill.
  21. DhIamini, S. M.,Marwala, T.(2004).An Application of SVM, RBF and MLP with ARD on Bushings.Proceedings of the IEEE Conference on Cybernetics and Intelligent Systems,Singapore:
  22. Dodds, W. B.,Monroe, K. B.,Grewal, D.(1991).Effects of Price, Brand, and Store Information on Buyers' Product Evaluations.Journal of Marketing Research,28(3),307-319.
  23. Duchêne, A.,Waelbroeck, P.(2006).The Legal and Technological Battle in the Music Industry: Information-Push versus Information-Pull Technologies.International Review of Law and Economics,26(4),565-580.
  24. Elliot, S.,Fowell, S.(2000).Expectations versus Reality: A Snapshot of Consumer Experiences with Internet Retailing.International Journal of Information Management,20(5),323-336.
  25. Fasakin, J. O.(2000).Willingness to Pay for Services of Commercial Motorcycles in Akure, Nigeria.Cities,17(6),447-452.
  26. Grabisch, M.(1995).Fuzzy Integral in Multicriteria Decision-Making.Fuzzy Sets and Systems,69(3),279-298.
  27. Huang, L.,Zhang, B. L.,Huang, Q.(1998).Robust Interval Regression Analysis Using Neural Networks.Fuzzy Sets and Systems,97(3),337-347.
  28. Hwang, C.,Hong, D. H.,Seok, K. H.(2006).Support Vector Interval Regression Machine for Crisp Input and Output Data.Fuzzy Sets and Systems,157(8),1114-1125.
  29. IFPI(2008).,未出版
  30. Ishibuchi, H.,Tanaka, H.(1992).Fuzzy Regression Analysis Using Neural Networks.Fuzzy Sets and Systems,50(3),257-265.
  31. Jang, J. S. R.,Sun, C. T.,Mizutani, E.(1997).Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence.NJ:Prentice-Hall.
  32. Jeng, J. T.,Chuang, C. C.,Su, S. F.(2003).Support Vector Interval Regression Networks for Interval Regression Analysis.Fuzzy Sets and Systems,138(2),283-300.
  33. Kuncheva, L. I.(2000).Fuzzy Classifier Design.Heidelberg:Physica-Verlag.
  34. Loureiro, M. L.,McCluskey, J. J.,Mittelhammer, R. C.(2002).Will Consumers Pay a Premium for Eco-Labeled Apples?.Journal of Consumer Affairs,36(2),203-219.
  35. Molteni, L.,Ordanini, A.(2003).Consumption Patterns, Digital Technology and Music Downloading.Long Range Planning,36(4),389-406.
  36. Monroe, K. B.,Krishnan, R.(1985).The Effect of Price on Subjective Product Evaluations.Perceived Quality,Lexington, MA:
  37. Moon, W.,Balasubramanian, S. K.(2003).Willingness to Pay for Non-Biotech Foods in the U.S. and U.K..Journal of Consumer Affairs,37(2),317-339.
  38. Mullen, B.,Johnson, C.(1990).The Psychology of Consumer Behavior.US:Lawrence Erlbaum Associates.
  39. Murofushi, T.,Sugeno, M.(1989).An Interpretation of Fuzzy Measure and the Choquet Integral as an Integral with Respect to a Fuzzy Measure.Fuzzy Sets and Systems,29(2),201-227.
  40. Murofushi, T.,Sugeno, M.(1993).Some Quantities Represented by the Choquet Integral.Fuzzy Sets and Systems,56(2),229-235.
  41. Murofushi, T.,Sugeno, M.(1991).A Theory of Fuzzy Measures: Representations, the Choquet Integral, and Null Sets.Journal of Mathematical Analysis and Applications,159(2),532-549.
  42. Osowski, S.,Siwek, K.,Markiewicz, T.(2004).MLP and SVM Networks - A Comparative Study.Proceedings of the 6th Nordic Signal Processing Symposium,Espoo, Finland:
  43. Ozer, M.(2001).User Segmentation of Online Music Services Using Fuzzy Clustering.Omega,29(2),193-206.
  44. Schaupp, L.,Bélanger, F.(2005).A Conjoint Analysis of Online Consumer Satisfaction.Journal of Electronic Commerce Research,6(2),95-111.
  45. Schiffman, L. G.,Kanuk, L. L.(2001).Consumer Behavior.US:Prentice Hall.
  46. Sugeno, M.(1974).Tokyo Institute of Technology..
  47. Suri, R.,Long, M.,Monroe, K. B.(2003).The Impact of the Internet and Consumer Motivation on Evaluation of Prices.Journal of Business Research,56(5),379-390.
  48. Tu, Y.,Lu, M.(2006).An Experimental and Analytical Study of On-Line Digital Music Sampling Strategies.International Journal of Electronic Commerce,10(3),39-70.
  49. Tzeng, G. H.,Ou Yang, Y. P.,Lin, C. T.,Chen, C. B.(2005).Hierarchical MADM with Fuzzy Integral for Evaluating Enterprise Intranet Web Sites.Information Sciences,169(3-4),409-426.
  50. Wang, C. L.,Ye, L. R.,Zhang, Y.,Nguyen, D. D.(2005).Subscription to Fee-Based Online Service: What Makes Consumer Pay for Online Content?.Journal of Electronic Commerce Research,6(4),304-311.
  51. Wang, W.,Wang, Z.,Klir, G. J.(1998).Genetic Algorithms for Determining Fuzzy Measures from Data.Journal of Intelligent and Fuzzy Systems,6(2),171-183.
  52. Zeithaml, V. A.(1988).Consumer Perceptions of Price, Quality and Value: A Means-End Model and Synthesis of Evidence.Journal of Marketing,52(3),2-22.
  53. 甘美玲(2006)。成功大學高階管理研究所。
  54. 何惠茹(2004)。台灣海洋大學應用經濟研究所。
  55. 沈錦呂(2004)。朝陽科技大學工業工程與管理研究所。
  56. 周盟浩(2004)。銘傳大學傳播管理研究所。
  57. 林秀芬(2006)。應用模糊積分於知識分享效益評估之研究。商管科技季刊,7(2),245-275。
  58. 林建煌(2002)。消費者行為。台北:智勝。
  59. 林富美、蘇珊如、張寒梅(2006)。數位音樂時代企業之競爭優勢:APPLE公司數位音樂平台之探討。傳播管理學刊,7(2),95-130。
  60. 唐文漢、洪志洋、曾國雄(2005)。運用模糊積分多評準決策法提升軍事學院教學效益方案之評選。國防管理學報,26(1),31-48。
  61. 莊慶達、趙聚誠(2000)。經濟名詞釋典。台北:華泰文化。
  62. 陳昭宏(2002)。創業投資公司投資高科技產業模糊多準則評估之研究—以生物科技產業為例。輔仁管理評論,9(2),87-109。
  63. 陳振東、莊順斌(2003)。電子化企業績效評估模式建構之研究。管理與系統,10(1),41-57。
  64. 湯玲郎、施並洲(2001)。灰關聯分析、類神經網路、案例推理法於財務危機預警模式之應用研究。中華管理評論,4(2),25-37。
  65. 黃穗斌(2006)。銘傳大學傳播管理研究所。
  66. 葉怡成(2002)。應用類神經網路。台北:儒林圖書有限公司。
  67. 葉怡成(2003)。類神經網路模式應用與實作。台北:儒林圖書有限公司。
  68. 資策會(2006)。研究報告:2006-2007年台灣網路娛樂市場發展分析。台北:資策會市場情報中心。
  69. 資策會(2007)。研究報告:2010年全球線上娛樂內容娛樂市場規模達264億美元。台北:資策會市場情報中心。
  70. 劉忠陽(2006)。以非線性需求函數探討線性音樂定價策略。傳播管理學刊,7(2),67-94。
  71. 劉忠陽、黃穗斌(2006)。線上音樂單一定價之研究。傳播管理學刊,7(1),109-136。
  72. 蔡宜廷、劉育奇、周欣嫻、周丸生(2006)。數位音樂產業及其商業模式。政大智慧財產評論,4(2),79-120。
被引用次数
  1. 林怡芯、呂英瑞(2017)。應用兩階段賽局探討通路合作契約對數位音樂市場之影響。商略學報,9(2),89-102。