| Reference: | 參考書目
一、中文部份
1.林文壽，聯合分析在國產小客車產品最佳化之應用研究(台北:政治大學企業管
理研究所碩士論文，民國73年6月)。
2.吳兆益，聯合分析在果汁消費者知覺與偏好上之應用研究(台北:政治大學企業
管理研究所碩士論文，民國71年6月)。
3.吳金水，自顯性偏好模式與聯合分析在訂婚囍餅市場上之應用研究(台北:淡江
大學管理科學研究所碩士論文，民國72年6月)。
4.吳英俊，運動鞋市場區隔分析－自動互動檢視法之應用(台北:淡江大學管理科
學研究所碩士論文，民間72年6月)。PP. 11-34.
5.何培基，應用非計量多元尺度法及層次集群法分析冷氣機市場品牌印象之研究(台北:淡江大學管理科學研究所碩士論文，民國66年6月)。
6.李佩珍，聯合分析法在銀行業競爭策略上之應用研究(台中:東海大學企業管理
研究所碩士論文，民國74年6月)。
7.胡坤德，統計學，華泰(民國68年6月)。
8.邱賜福，聯合分析在速食湯產品最佳化策略上之應用研究(台北:淡江大學管理
科學研究所碩士論文，民國72年6月)。
9.陳來成，非計量多元尺度法之應用－機車實證研究(台商:成功大學工業管理研究所碩士論文，民國68年5月)。
10.陳信宗，大專學生運動鞋購買行為之研究(高雄:中山大學企業管理研究所碩士論文，民國71年7.6月)。
11.黃俊英，多變量分析，第二版，華泰(民國75年1月)。
12.趙英文，聯合衡量模式在行銷管理上的應用(台北:淡江大學管理科學研究所碩
士論文，民國74年6月)。
13.榮魯青，產品空間之研究:非計量多元尺度法及層次集群分析法之應用－彩色電視機之例(台北:政治大學企業管理研究所碩士論文，民國73年6月)
14.蘇應麟，旅行業對大型國際觀光旅管知覺與偏好上之研究－非計量多元尺度法及聯合分析法之應用(台北:臺灣大學商學研究所碩士論文，民國74年6月)。
二、英文部份
1. Harper W. Boyd , Ralph Westfall and Stanley F. Stasch "Marketing Research Text and Cases " Sixed ed, Homewood Illinois (March 1986)
參考文獻
1. Arabie, Phipps. J. Douglas Caroll, Wayne Desarbo, and Jerry Wind “Overlabbing Clustering: A New Method for Product Positioning” Journal of Marketing Research, (August 18, 1981) PP.310-17.
2. Belk, Russell, John Painter, and Richard Semenik “Preferred Solutions to the Energy Crisis as a Function of Causal Attributions,” Journal of Consumer Research, (December 8, 1981) PP. 306-12.
3. Benzecri, J. D. “Statistical Analysis as a Tool to Make Patterns Emerge from Data,” in Methodologies of Pattern Recognition, S. Watanabe, ed. New York; Academic Press, Inc. 1969 PP. 35-74.
4. Benzecri, J. D. et al ., L Analyse des Donnees. Vol. I, La Taxinomie; Vol II, L. Analyse des Correspondances. Paris: Dunoa.
5. Cattin, Philippe and Dick R. Wittink “Commerical Use of Conjoint Analysis: A Survey” Journal of Marketing, 46 Summer, (1982), PP. 44-53.
6. Chang, J. J., and Carroll, J. D. “How to use MDPREF a computer program of Multidimensional Analysis of Preference data,” Unpublished paper, Bell Laboratories, (1968).
7. Chang, J. J., and Carroll, J. D. “How to use PREFMAP and PREFMAP-2 a computer program which relate preference data to Multidimensional Analysis of Preference data, ” Unpublished paper, Bell Laboratories, (1972).
8. Cormack, R. M. “ A Review of Classification” Journal of the Royal Statistical Society (Series A) 134 (1971), PP. 321-67.
9. Donna L. Hoffman and George R. Franke, “Correspondence Analysis: Graphical Representation of Categorical Data in Marketing Research” Journal of Marketing Research Vol. XXIII (August 1986) PP. 213-27.
10. Dov Pekelman and Subrata K.k Sen “Measurement and Estimation of Conjoint Vtility Functions” Journal of Consumer Research, Vol. (March 5, 1979 ), PP. 263-71.
11. Franke, George R. “Dual Scaling” A model for Interpreting and Quantifying Categorical Data” in Research Methods and Causal Modeling in Marketing, W.R. Darken, K. B. Monroe, and W. R. Dillon, eds. Chicago: American Marketing Association, (1983) PP. 111-4.
12. Gray M. Mullet and Marvin J. Karson “Percentilrs of LINMAP Conjoint Indices of Fit for Various Orthogonal Arrays: A Simulation Study” Journal of Marketing Research Vol. XXIII (August, 1986). PP.286-290.
13. Green, Paul E. and Vithala R. Rao “Conjoint Measurement for Quantifying Judgement Data”, Journal of Marketing Research. (August 8, 1971) PP. 355-63.
14. Green, Robert T., Jean-Paul Leonardi, Jean-Louis Chandon, Isabella C. M. Cunniugham , Bronis Verhage , and Alain Strazzier " Societal Development and Family Purchasing Roles : A Cross-National Study." Journal of Consumer Reasearch , ( March 9, 1983 ) PP. 436-42.
15. Harper W. Boyd , Ralph Westfall and Stanley F. Stasch " Marketing Research Text and Cases " Sixed ed, Homewood Illinois (March 1986) PP.409-410.
16. Holbrook Morris B. William,L. Moore, and Russell S. Winer "Constructing Joint Spaces from Pick-any Data : A New Tool for Consumer Analysis " , Journal of Consumer Research , ( June 9, 1982 ) , PP. 99-105.
17. Huber, Joel C. and William L. Moore"A Comparision of Alternative Ways to Aggregate Individual Conjoint Analysis " 1979 Educators Conference Proceedings , Neil E. Beckwith et al., eds. Chicago American Marketing Association , ( 1979 ) PP. 64-8.
18. Inglis J. and D. Johnson "Some Observation on and Developments In, the Analysis of Mutlivariate Survey Data " , Journal of Marketing Research Society 12 (1970) pp. 75-88.
19. Jain, Arun K.,Acito, Franklin,Malhotra, Naresh,and Mahajan, Vijay" A Comparision of Predictive Validity of Alternative Methods for Estimating Parameters in Preference Models" Working Paper , School of Management State University of New York, at Buffalo (1978).
20. Johnson , Richard M. " A Simple Method of Pairwise Monotone Regression ", Psychometrika 40 (1975 ). PP. 103-8.
21. Kuehn,A. A. and K. L. Day "Strategy of Product Quality," harvard Business Review 40 ( 1962 ) PP. 100-10.
22. Michael R. Hagerty " Improving the Predictive Power of Conjoint Analysis : The Use of Factor Analysis and Cluster Analysis"Journal of Marketing Research Vol. XXII ( May, 1985 ), PP. 168-84.
23. Montgomery , David B. and Dick R. Wittink , " The Predictive Validity of Conjoint Analysis for Alternative Aggregotion Schemes " Market Measurement and Analysis . Cambridge , MA: Marketing Science Institute.PP.298-309.
24. Moore , W. L. " Level of Aggregation in Conjoint Analysis : An Empirical Comparision " Journal of Marketing Research ,(November 17 , 1980 ) PP. 516-23.
25. Oppedijk van Veen, Walle M., and Beazley David, " An Investigation of Alternative Methods of Applying the Trade-off Model",Journal of the Market Research Society 19,(1977). PP.2-9.
26. P. Cattin and D. R. Wittink, "Commercial Use of Conjoint Analysis: A Survey" ,Journal of Marketing Research (Summer 1982) pp.44-53
27. Paul E. Green "Hybrid Models for Conjoint Analysis : An Expository Review " Journal of marketing Research, Vol. XXI( May 1984) pp.155-69.
28. P. E. Green, " On the Design of Choice Experiments Involving Maltifactor Alternatives , " Journal of Consumer Research Vol. 1 ( September 1974 ).PP.61-68.
29. Paul E. Green , J. Douglas Carroll and Stephen M. Goldberg " A General Approach to Product Design Optimization via Conjoint Analysis "Journal of Marketing Vol. 45( Summer 1981 ) PP.17-37.
30. P. E. Green and M. T. Devita ,"A Complementarity Model of Comsumer Utility for Item Collections , " Journal of Consumer Resaerch , ( December, 1974) PP.56-67.
31. PAUL E. Green and V. Srinivasan " Conjoint Analysis in Consumer Research : Issues and Outlook " Journal of Consumer Research, Vol. ( September 5, 1978 ) PP. 103-123.
32. Paul E. Green" Hybrid Models for Conjoint Analysis:An Expository Review " Journal of Marketing Research , Vol. XXI ( May 1984 ). PP. 155-69.
33. R. C. Bose and K. A. Bush, " Orthogonal Arrays of Strength Two and Three "Annals of Mathematical Statistics, Vol.23(1952),PP.508-524.
34. R. M. Johnson , " Trade-off Analysis of Consumer Values" , Journal of Marketing Research , Vol.11 (May 1974) , PP.121-127.
35. R. N. Shepard , " The Analysis of Proximities : Multidimensional Scaling with an Unknown Distance Junction : I " Psychometrika Vol. 27 ( 1962 ), PP. 125-39.
36. Shocker,Allan D. and V. Srinivasan"A Consummer Based Methodology for the Identification of New Product Ideas. "Management Science ( February 20 , 1974 ). PP. 921-37.
37. V. Srinivasan and Allen V. Shocker " LINMAP Version IV Users Manual " ( August, 1981 ).
38. William L. Moore " Levels of Aggregation in Conjoint Analysis:An Empirical Comparision " Journal of Marketing Research Vol. XVII. ( November 1980 ) PP. 516-23.
39. Yoram Wind , John F. Grashof and Joel D. Goldhar " Market-Based Guidelines for Design of Industrial Products " Journal of Marketing , ( July 1978 ) PP.27-37.
40. Zufryden. F. S. " A Conjoint Measurement-Based Approach for Optimal New Product Design and Market Segmentation " in Analytic Approaches to Product and Market Planning , A. D. Shocker, edj., Cambridge,MA : Marketing Science Institute ( 1977 ) PP. 100-104. |
