跳到主要內容

臺灣博碩士論文加值系統

(2600:1f28:365:80b0:a8de:191f:a29b:1858) 您好!臺灣時間:2025/01/13 05:32
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

我願授權國圖
: 
twitterline
研究生:許慧珍
研究生(外文):Huei-Chen Hsu
論文名稱:廣告訴求、媒體型式及產品涉入程度對男女網路廣告態度的影響
論文名稱(外文):Effects of Advertising Appeals, Media Types, and Product Involvement on Male and Female’s Web Advertising Attitude
指導教授:賴其勛賴其勛引用關係
指導教授(外文):Chi-Shiun Lai
學位類別:博士
校院名稱:國立雲林科技大學
系所名稱:企業管理博士班
學門:商業及管理學門
學類:企業管理學類
論文種類:學術論文
論文出版年:2008
畢業學年度:96
語文別:英文
論文頁數:113
中文關鍵詞:廣告訴求訴求順序產品涉入程度媒體生動化互動性
外文關鍵詞:InteractivityAppeal OrderMedia VividnessAdvertising AppealPersonal and Product Involvement
相關次數:
  • 被引用被引用:2
  • 點閱點閱:279
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
一直以來,網路業者對於網路廣告投入相當多的資源,但是,卻很少注意到網路男女消費者對於網路廣告態度是否看法不同。本論文以「網路互動模式」「Interactive Advertising Model」(IAM), 「推敲可能模式」「Elaboration Likelihood Model」(ELM),「電腦中介行銷環境理論」「Computer-mediated Hypermedia Marketing Environment」(CME) 及 「滿意理論」「The Gratification Theory」試圖探討男女對於網路廣告的信息內容及呈現方式的感受態度是否有差異。
與網路業者(www.payeasy.com.tw)合作,藉由其購物者資料庫做網路廣告態度的網路問卷調查。
實驗一: 測試男女對於高低涉入程度的物品,若操弄的網路廣告訴求不同,是否他(她)們所反應的網路廣告態度也不同?
實驗二: 測試男女對於高低涉入程度的物品,若操弄的網路廣告互動程度不同,是否他(她)們所反應的網路廣告態度也不同?
實驗三: 測試男女對於高低涉入程度的物品,若操弄的網路廣告媒體生動化程度不同,是否他(她)們所反應的網路廣告態度也不同?
實驗四: 測試男女對於高涉入程度的物品,若操弄的網路廣告訴求順序不同,是否他(她)們所反應的網路廣告態度也不同?
實驗中所操弄的變項有:(1)廣告訴求(理性 / 感性),(2)廣告互動
性(有 / 無),(3)媒體生動化(單一媒體 / 多媒體),(4)廣告訴求順序;干擾
ii
變項有:(1)產品涉入程度(高 / 低),(2)男女;而依變項則是 「網路廣告態度」。
實驗一、二及三採單變量組間實驗設計;實驗四「探討男女對於網路廣告訴
求若順序不同,其對於廣告的態度是否也不同?」,採用單變量組內實驗設計。
男女對於網路廣告的態度研究結果發現:
1. 男女皆喜歡高涉入程度產品以理性廣告呈現的方式;而低涉入程度產品則以感性廣告呈現。
2. 男性比女性消費者更喜歡理性廣告;而女性比男性消費者更喜歡感性廣告。
3. 男女皆喜歡高涉入程度產品以互動式廣告呈現的方式;而低涉入程度產品則以非互動式廣告呈現。
4. 男性比女性消費者更喜歡互動式廣告;而女性比男性消費者更喜歡非互動式廣告。
5. 男女皆喜歡高涉入程度產品以單一媒體廣告呈現的方式;但是對於低涉入程度產品則不一定喜歡以多媒體廣告呈現。
6. 男性比女性消費者更喜歡單一媒體廣告;但是男性卻不一定比女性消費者不喜歡多媒體廣告。
7. 對於高涉入程度的產品,男性比女性消費者更喜歡理性廣告訴求先、感性訴求後;反之,女性比男性消費者更喜歡感性廣告訴求先、理性訴求後。
針對研究的發現,也提出對於網路業者在網路廣告的管理建議。
While a lot of resources are being spent on Web advertising, there has been little formal empirical research that provides guidelines for effective Web ads for genders. This paper reviews the application of 「Interactive Advertising Model」(IAM)and theories such as, 「Elaboration Likelihood Model」(ELM),「Computer-mediated Hypermedia Marketing Environment」(CME) and 「The Gratification Theory」 to understand how men and women differ in their evaluation of information content and the visual presentation used in Web advertising.
By using a behavioral online environment database that consists of customer advertising attitude at a Web site along with individual advertising exposure, we measure the impact of appeal of Web ads(experiment 1), effect of interactivity(experiment 2) , and media vividness(experiment 3)on their advertising attitude and their attitude to different appeal presentation order(experiment 4).
The study verifies the ELM by examining several variables influencing consumers’
iv
attitude of Web advertising. These include manipulated variables: (1)Advertising appeals(rational vs. emotional) ,(2)Interactivity(interactive vs. non-interactive)(3)Media vividness(single media vs. media combination), (4)Appeal order(rational first vs. emotional first); moderators: (1)Level of personal and product involvement(high vs. low) ,(2)Gender(male vs. female); and dependent variable is “Web advertising attitude” .
For experiment 1, 2 and 3, three independent surveys of Internet users investigated by which between-subject ANOVA experimental designs are used to guide these experiments design. In experiment 4, we try to solve that question:”What is genders’ cognitive preference difference by a different presentation order online advertising appeal?”, A different survey of Internet users investigated by which a 2×2 within-subject ANOVA experimental design is used to guide the research design.
We find the significant relationships between these variables and dependent variables and support the hypothesized tests.
1. For a high-involved product, people will evaluate a rational Web advertising appeal with stronger attitude; and for a low-involved product, people will evaluate an emotional one with stronger attitude.
2. Male than female will evaluate a rational Web advertising appeal with stronger attitude; whereas, female than male will evaluate an emotional one with stronger attitude.
3. For a high-involved product, people will evaluate an interactive Web ad with stronger attitude; and for a low-involved product, people will evaluate a non-interactive one with stronger attitude.
4. Female than male will evaluate a non-interactive ad with stronger attitude; whereas, male than females will evaluate an interactive Web one with stronger attitude.
5. For a high-involved product, people will evaluate a single media Web ad with stronger attitude; however, for a low-involved product, people will not evaluate a media combination one with stronger attitude.
v
6. Male than females will evaluate a single media Web ad with stronger attitude; whereas, female than male will not evaluate a media combination one with stronger attitude.
7. For a high-involved product, men will like the Web advertising better when the rational appeal is presented prior(emotional appeal next)to it than when the presentation order is reversed. The same appeal to women; however, will be a reversed result.
Managerial implications for the user of these ad execution cues are discussed and future research suggestions are proposed.
Chinese
Abstract
----------------------------------------------------------------------
i
English
Abstract
----------------------------------------------------------------------
iii
Acknowledgements
----------------------------------------------------------------------
vi
Contents
----------------------------------------------------------------------
vii
List of Tables
----------------------------------------------------------------------
x
List of Figures
----------------------------------------------------------------------
xi
Chapter 1
Introduction-------------------------------------------------------
1
1.1
Motivation of this Research------------------------------------
1
1.1.1
The Effect of Online User Involvement-----------------------
1
1.1.2
Gender Difference in Internet Use-----------------------------
2
1.1.3
The Effect of Web Advertising Media Types-----------------
3
1.1.4
The Effect of Appeal Order-------------------------------------
4
1.2
Objectives of this Research-------------------------------------
5
Chapter 2
Literature Review and Hypotheses----------------------------
8
2.1
Consumers’ Information Processing---------------------------
10
2.1.1
Elaboration Likelihood Model---------------------------------
11
2.1.2
Computer-mediated Hypermedia Marketing Environment(CME)---------------------------------------------------------
12
2.2
Personal and Product Involvement Response to Web advertising --------------------------------------------------------
13
2.3
Gender Different Evaluation on the Web advertising-------
17
2.3.1
The Gratification Theory----------------------------------------
17
2.3.2
Gender Difference for Attitude with Web Advertising------
19
2.4
Advertising Appeals---------------------------------------------
20
2.4.1
Appeal and Involvement----------------------------------------
26
2.4.2
Gender and Appeal-----------------------------------------------
27
2.5
Web advertising Media Types----------------------------------
28
2.5.1
Web advertising Interactivity-----------------------------------
29
2.5.2
Web advertising Vividness--------------------------------------
31
2.6
Appeal Order Effects--------------------------------------------
33
Chapter 3
Methodology------------------------------------------------------
35
viii
3.1
Research Framework Overview--------------------------------
35
3.2
Measurement Variables -----------------------------------------
39
3.2.1
Dependent Variable----------------------------------------------
39
3.2.2
Independent Variables ------------------------------------------
39
3.2.3
Moderators -------------------------------------------------------
40
3.2.4
Controlled Variables ------------------------------------------
40
3.3
Polite Test of Experiments--------------------------------------
41
3.3.1
Overview----------------------------------------------------------
41
3.3.2
Pilot test ----------------------------------------------------------
41
3.3.3
Reliability of the Constructs------------------------------------
41
3.4
Main Experiment Procedures-----------------------------------
44
3.4.1
Data Collection---------------------------------------------------
44
3.4.1.1
Experiment 1------------------------------------------------------
45
3.4.1.2
Experiment 2------------------------------------------------------
46
3.4.1.3
Experiment 3------------------------------------------------------
47
3.4.1.4
Experiment 4------------------------------------------------------
48
Chapter 4
Analysis and Results---------------------------------------------
50
4.1
Experiment 1------------------------------------------------------
50
4.1.1
Main Effects of Experiment 1---------------------------------
51
4.1.2
Interactive Effects of Experiment 1----------------------------
51
4.2
Experiment 2-----------------------------------------------------
54
4.2.1
Main Effects of Experiment 2---------------------------------
55
4.2.2
Interactive Effects of Experiment 2----------------------------
55
4.3
Experiment 3------------------------------------------------------
58
4.3.1
Main Effects of Experiment 3---------------------------------
59
4.3.2
Interactive Effects of Experiment 3----------------------------
60
4.4
Experiment 4------------------------------------------------------
63
4.4.1
Main Effects of Experiment 4---------------------------------
65
4.4.2
Interactive Effect of Experiment 4----------------------------
65
Chapter 5
Discussion and Suggestions------------------------------------
67
5.1
Theoretical Discussion------------------------------------------
67
5.2
Managerial Implications----------------------------------------
69
5.3
Limitations--------------------------------------------------------
71
5.4
Suggestions for Future Research-------------------------------
73
References
----------------------------------------------------------------------
75
ix
Appendix A
----------------------------------------------------------------------
85
Appendix B
----------------------------------------------------------------------
95
Autobiography
----------------------------------------------------------------------
100
一、中文部分:
1. 吳佩珊,2005,網路廣告效果之研究---圖像互動和人際互動觀點之探討,世新大學,視覺傳播系碩士論文。
二、英文部分:
1. Aaker, D.A., Batra, R., and Myers, J.G., 1992, Advertising management, 4th ed. Englewood Cliffs, NJ: Prentice-Hall.
2. Achol ,R. S. and Kotler, Philip ,1999, “Marketing in the Network Economy”,
Journal of Marketing, Special Issue, 146-163.
3. Ahn,E. and Edwards, S.M.,2002, ”Does size really matter? Brand attitude versus
click-through in response to banner ads” , In: Abernethy, A.M. (ed.), 8-9.
4. Babin, B.J. and Boles, J.S.,1998,”Gender positioning of a traditionally male-dominant product”, Journal of Marketing, 62(2),77-91.
5. Barone, M.J., Palan, M.K., and Miniard, W.P.,2004, “Brand usage and gender as moderators of the potential deception associated with partial comparative advertising”, Journal of Advertising, 33(1), 19-28.
6. Bauer, R.A., 1967,”Consumer behavior as risk taking”, In Risk Taking and Information Handling in Consumer Behavior. D. F. Cox ed. Boston: Harvard University Press.
7. Bayles, M.E.,2002,”Desinging online banner advertisements: should we animate?”
Proceedings of the SIGCHI conference on human factors in computing System, 363-366.
8. Bayles, M.E. and Chaparro,B.,2001,”Recall and recognition of static vs. animated
banner advertisements”, Proceedings of the human factors and ergonomics society 45th annual meeting,1201-1204.
9. Beatty, S.E. and Smith, M.S.,1987,”External search effort: an investigation across
several product categories”, Journal of Consumer Research, 14(June), 83-95.
10. Belk, R.W.,1981,”Determinants of consumption cue utilization in impression formation: an associational derivation and experimental verification” ,Advances in Consumer Research, 8.
76
11. Bezjian-Avery, Alex, B.C. and Lacobucci, Dawn,1998,”New media interactive advertsisng vs. traditional advertising”, Journal of Advertising Research,38(4),23-32.
12. Bemmaor, A.C., 1995, “Predicting behavior from intention-to –buy measures: the parametric case”, Journal of Marketing Research, XXXII(May), 176-191.
13. Bloch, P.H., Sherrell,D.L. and Ridgway, N.M.,1986,”Consumer search: an extended framework”, Journal of Consumer Research, 13, 119-126.
14. Blumler,J.G. and Katz, E.,1974,”The uses of mass communications: current perspectives on gratifications research.”, Beverly Hills: Sage Publications, 19-31.
15. Bonnici, E., 1999,”How to design a successful banner today and for the new millennium”, AJA Internet Marketing. http://www.aja2000.com/library/banner/banner0001.htm.
16. Brunel, F.F., and Nelson, R.M., 2003,” Message order effects and gender differences in advertising persuasion”, Journal of Advertising Research, 43(5), 330-341.
17. ---2000,”Gender response to help-self and help-others charity ad appeals: an analysis of the mediating role of world-views and values”, Journal of Advertising, 24(3) , 15-28.
18. Burnett, John,2006,”Disabled consumers: the use of the Internet and attitudes toward Web advertising”, Journal of Advertising Research,(September), 324-338.
19. Cacioppo, J.T. and Petty, R.E.,1982,”The need for cognition”, Journal of Personality and Social Psychology, 42(1),116-131.
20. Chang, ChingChing,2006,”Cultural masculinity/Femininity influences on advertising appeals”, Journal of Advertising Research, (September), 315-323.
21. Chen, R., and He, F. ,2003,” Examination of brand knowledge, perceived risk and consumers’ intention to adopt an online retailer”, Total Quality Management & Business Excellence, 14(6), 677-693 .
22. Darley, W.K., and Smith, E.R., 1995,”Gender differences in information processing strategies: an empirical test of the selectivity model in advertising
77
response”, Journal of Advertising Research,(January), 324-338.
23. Daugherty, T.,2000,”An experimental analysis of banner advertising: exploring the
impact of advertising message involvement”, http://www.ad-tech.com.
24. DeBare, I., ,1996,”Women lining up to explore online”, http://www.sacbee.com/news/projects/women.wconline.html.
25. Deighton, J.C., Henderson, M. and Neslin, S.A.,1994’”The effects of advertising on brand switching and repeat purchasing”, Journal of Marketing Research, 31(February), 28-43.
26. Donthu,N. and Gargia, A.,1999,”The Internet shoppers.”, Journal of Advertising
Research, 39(3), 52-58.
27. Dreze, Xavier and Hussherr, F.,2003,”Internet advertising: is anybody watching?” Journal of Interactive Marketing, 17(4), 8-23.
28. Drucker, Peter F. ,1993,” Post Capitalist Society”, Oxford: Butterworth Heinemann.
29. Ducoffe, R.H.,1996,”Advertising value and advertising on the web”, Journal of advertising research,36(5),21-35.
30. Dunn, D. and Perse, E.,1998,”The utility of home computers and media use: implications of multimedia and connectivity”, Journal of Broadcasting & Electronic Media, 42, 435-457.
31. Eighmey, J., and McCord, L., 1998,”Adding value in the information age: uses and gratifications of sites on the World Wide Web”, Journal of Business Research, 41, 187-194.
32. Eysenck, H.J., 1967,”The Biological Basis of personality”, Springfield, IL: Thomas.
33. Fornell, C. and Larcker, David F. ,1981,”Evaluating structural equation models with unobservable variables and measurement error.”,Journal of Marketing Research, 18, 39-50.
34. Gallagher, K., Foster, K.D., and Parsons, J., 2001,”The medium is not the message: comparing advertising effectiveness and content evaluation in print and the Web”, Journal of Advertising Research, 41(4), 57-70.
78
35. Hair, J.F., Anderson, R.E., Tatham, R.L., and Black, W.C. ,1998,”Multivariate data Analysis with readings”, Prentice Hall, Englewood Cliffs. NJ.
36. Haugtvedt,C.P., and Petty, R.E.,1992,”Personality and persuasion: need for cognition moderates the persistence and resistance of attitude changes”, Journal of Personality and Social Psychology, 63,308-319.
37. Haller, T.B.,1974,”Whatstudents think of advertising”, Journal of Advertising,14(1),33-38.
38. Herring, S.,1993,”Gender and democracy in computer mediated communication”, Electronic Journal of Communication, 3(2).
39. --- 2000,” Gender differences in CMC: Findings and Implications”,
URL:http://www.cpsr.org/publications/newsletters/issues/2000/Winter2000/herri
ng.html.
40. Hoffman, D. L., Novak, T.P., and Chatterjee, P. ,1995,”Commercial Scenarios for the Web: Opportunities and Challenges”, Journal of Computer-Mediated Communication, Special Issue on Electronic Commerce, 1 (December).
41. --- Hoffman, D. L., Novak, T.P.,2000,”Marketing in hypermedia computer-mediated environments: conceptual foundations”, Journal of Marketing, 60, 50-68.
42. Hovland, C.L. and Mandell, W., 1957, “Is there a law pf primacy in persuasion?” In The Order of Presentation in Persuasion, C.L.Hovland et al., eds. New Haven, CT: Yale University Press.
43. Huber, J., Payne, J.W. and Puto, C.,1982,”Adding asymmetrical dominated alternatives: violations of regularity and similarity hypothesis”, Journal of Consumer Research, 9, 90-98.
44. http://www.nielsen.com
45. http://www.find.org.tw/find/home.aspx?page=news&id=3992
46. Johar, J.S. and Sirgy, J.,1991,”Value-expressive versus utilitarian advertising appeals:when and why to use which appeal.”, Journal of Advertising, 20(3), 23-33.
47. Kapferer, Jean-Noel and Laurent, Gilles.,1986,”Consumer involvement profiles: a new practical approach to consumer involvement”, Journal of Advertising Research, 25(6), 48-56.
79
48. Kardes, F.R. and Herr, P.,1990,”Order effects in consumer judgments, choice, and
memory: the role of initial processing goals”, In Advances in Consumer Research, M.E.Goldberg et al., eds.Provo, UT; Association for Consumer Research.
49. Katz, D. ,1960,”The functional approach to the study of attitudes”,Public Opinion Quarterly, 24, 163-204.
50. Kaye, B.K.,1998, “Uses and gratifications of the World Wide Web: from couch potato to Web potato”, The New Jersey of Communication, 6, 21-40.
51. Kehoe,C., Pitkow ,J., and Morton, K.,1997,”Eighth WWW User Survey”, http://www.cc.gatech.edu/gvu/user_surveys/
52. Keng, C.J. and Lin, H.Y., 2006, “Impact of telepresence levels on internet advertising effects”, CyberPsychology and Behavior, 9(1)82-94.
53. Kirsh, D.,1997,”Interactivity and multimedia interfaces”, Instructional Science, 25(2),79-86.
54. Kwak,H.R., Fox, J. and Zinkhan,G.M.,2002,”What products can be successfully
promoted and sold via the Internet?” Journal of Advertising Research, 42(1), 23-38.
55. Lana,R.E., 1963, “Interest, media, and order effects in persuasive communications”, Journal of Psychology, 56(1):9-13.
56. Larsen,R.J. and Diener,E.,1987,”Affect intensity as an individual difference
Characteristic: a review”, Journal of Research in Personality, 21(1): 1-39.
57. Lee, Jae-Shin,2000,”Interactivity: A new approach”, Paper read as Association for
Education in Journalism and Mass Communication, 9-12.
58. Li,H. and Bukovae,J.L.,1999,”Cognitive impact of banner ad characteristics: an
experimental study”, Journalism and Mass Communication Quarterly,76,341-353.
59. Lien, N.H.,2001, “Elaboration likelihood model in consumer research: a review”, Pro. Natl. Sci. Commc.,11(4):301-310.
60. Luhmann, N. ,1979,”Trust and Power”, John Wiley & Sons, Chichester, England.
61. Lutz, R.J.,1979,”A functional theory framework for designing and pretesting advertising themes”,In Attitude Research Plays for High Stakes. J.C.Maloney and B. Silverman. Eds.Chicago, 37-49.
80
62. Mayers-Lavy, J.,1994, “Gender differences in cortical organization: social and biochemical antecedents and advertising consequences”, E.M.Clark,T.C.Brook, and D.W.Stewart,eds. Hillsdale,NJ:Lawrence Erlbaum Associates.
63. ------1989,”Gender differences in information processing: a selectivity interpretation”, In Cognitive and Affective Response to Advertising, P.Cafferata and A.M.Tybout,eds.Lexington,MA: Lexington Books.
64. ------and Maheswaran, D.,1991,”Exploring differences in males’ and females; processing strategies”, Journal of Consumer Research, 18(1), 63-70.
65. Manchanda, P., Dube, Jean-Pierre, Goh, K.Y. and Chintagunta, P. K.,2006,”The effect of banner advertising on Internet purchasing”, Journal of Marketing Research, XLIII (February),98-108.
66. McCroskey, J.C.,1967,”The effects of evidence in persuasive communication”, Western Speech, 31-189.
67. McMillan, S. J. and Hwang, J.S., 2002, “Measures of perceived interactivity: An exploration of the role of direction of communication, user control and time in shaping perceptions of interactivity”, Journal of Advertising, XXXI(3): 29-42.
68. Miniard, P.W., Barone, R. and Manning, K.C., 1993, “On the need for relative measurements in assessing comparative advertising effects”, Journal of Advertising, 22(September):41-57.
69. Mittal,B.,1994,”Public assessment of TV advertising: faint praise and harsh criticism”, Journal of Advertising Research,34(1),35-53.
70. Najjar,I.J.,1996,”Multimedia information and learning”, Journal of Educational
Multimedia and Hypermedia,5,129-150.
71. NTIA and ESA.,2003,”U.S. Uusing U.S. Census Bureau Current Population Survey Supplements”, Department of Commerce.
72. O’Donohue, S.,1995,”Attitudes to advertising: a review of British and American research”, International Journal of Advertising, 14(3), 245-261.
73. Ogilvy, D.,1963,”Confessions of an advertising man”, New York: Ballantine Books.
74. Papacharissi, Z., and Rubin, A.M.,2000,”Predictors of Internet use”, Journal of Marketing, 60, 50-68.
81
75. Park,C.W., Jaworski, B.J. and MacInnis, D.J.,1986,”Strategic brand concept-image management”, Journal of Marketing, 50(October), 135-145.
76. Pastore, M. ,2001,” Women maintain lead in Internet use”, Cyberatlas,
URL: http://Webdesign.about.com/gi/dunamic/offsite.
77. Pavlou, P.A., and Stewart, D.W.,2000,”Measuring the effects and effectiveness of interactive advertising: A research agenda”, Journal of Interactive Advertising,
(1). 23-45.
78. Petty, Richard E., and Cacioppo, T.J.,1983,”Central and peripheral routes to advertising effectiveness: the moderating role of involvement”, Journal of Consumer Research, 19(September), 135-146.
79. Phillip, V.M., and Suri, R.,2004,”Impact of gender differences on the evaluation of promotional emails”, Journal of Advertising Research, (December), 360-368.
80. Plummer, J.T.,1974,”The theory and uses of life-style segmentation”, Journal of Marketing, 38(January), 33-37.
81. Rafaeli, S. and Sudweeks, F.,1997,”Networked Interactivity”, Journal of Computer
Mediated Communication,2(4).
82. Rau, P.P., Chen, J. and Chen, D., 2006, “A study of presentations of mobile web banners for location-based information and entertainment information websites”, Behaviour and Information Technology, 25(3):253-261.
83. Reichheld, F.F. and Schefter, P.,2000,”E-Loyalty: Your Secret Weapon on the Web”, Harvard Business Review, 78(4), 105-113.
84. Rodgers, Shelly and Cannon, H, 2000, “The many faces of Web users: an exploratory study of functionally-based Web-usage groups”, The American Academy of Advertising National Conference.
85. -------and Harris, A.M.,2003,”Gender and E-commerce: an exploratory study”, Journal of Advertising Research, (September), 322-329.
86. -------and Thorson, E.,2000,”The Interactive advertising model: how users perceive and process online ads”, Journal of Interactive Advertising. Available: www.jiad.org/vol1/no1/rodgers/index.html.
82
87. -------and Sheldon, K.1999, “The Web motivation inventory: reasons for using the Web and their correlates”, The American Academy of Advertising National Conference.
88. Rossiter,J.R. and Bellman,S.,1999,”A proposed model for explaining and measuring Web ad effectiveness”, Journal of Current Issues and Research in Advertising, 21, 13-31.
89. Schlosser,A.E., Shavitt, S. and Kanfer, A.,1999,”Survey of Internet users’ attitudes toward Internet advertising”, Journal of Interactive Marketing, 13(3),34-54.
90. Sheehan, K.B.,1999,”An investigation of gender differences in online privacy concerns and resultant behaviors”, Journal of Interactive Marketing, 13(4), 24-38.
91. Sherman, L., and Deighton, John,2001,“Banner advertising: measuring effectiveness and optimizing Placement”, Journal of Interactive Marketing, 15 (2), 60-65.
92. Shimp, T.A. and Kavas, A.,1984,”The theory of reasoned action applied to coupon usage”, Journal of Consumer Research, 11(December),795-809.
93. Singh, Jagdip and Sirdeshmukh, Deepak, 2000, "Agency and Trust Mechanisms in Consumer Satisfaction and Loyalty Judgments", Academy of Marketing Science, (28):150-167.
94. Sirgy, M. J., 1985,”Using self-congruity and ideal congruity to predict purchase motivation”, Journal of Business Research, 13(June), 195-206.
95. Snyder,M., and DeBono, G.K.,1985,”Appeals to image and claims about quality: understanding the psychology of advertising”, Journal of Personality and Social Psychology, 49(3),586-597.
96. Soloman, M.R.,1983,”The role of products as social stimuli: a symbolic interactionism perspective”, Journal of Consumer, 11(June), 257-269.
97. Spivey,W.A., Munson,J.M. and Locander, W.B.,1983,”Improving the persuasiveness of persuasive communications: matching message with functional profile”, Journal of Business Research, 11(June), 257-269.
98. Srinivasan, N. and Ratchford, B.T.,1991,”An empirical test of a model of external
search for autocellulars”, Journal of Consumer Research, 18(September), 233-242.
83
99. Stafford, M.R., and Day, E.,1995,”Retail services advertising: the effects of appeal, medium, and service”, Journal of Advertising, 24, 57–71.
100. Suchmann, L.A.,1987,”Plans and situated actions: the problem of human-machine communication”, Cambridge, MA: Cambridge University Press.
101. Turley L.W., and Kelly, S.W.,1997,” A comparison of advertising content: business to business versus consumer services”, Journal of Advertising, XXVI, 39–48.
102. Vakratsas, D. and Ambler, Tim, 1999,”How advertising works: what do we really know?”, Journal of Marketing, 63(1),26-43.
103. Wang,C.L., Bristol,T., Mowen,J.C. and Chakbaborty,G.,2000,”Alternative models of self-construal: dimensions of connectedness-separateness and advertising appeals to the cultural and gender-specific self”, Journal of Consumer Psychology, 9(2) , 107-15.
104. Weiser, E.B.,2000,”Gender differences in Internet use patterns and Internet application preferences: a two sample comparison”, Cyber Psychology and Behavior, 3(2), 167-178.
105. Wells, W.D., and Chen, Q.,1999,”Surf’s up---differences between Web surfers and nonsurfers: theoretical and practical implications”, The American Academy of Advertising National Conference.
106. West, D.S.; Wilkin, N.E. and Bentley, J.P., 2005,”The role of information relevance and reliability in direct-to-consumer advertising”, Journal of Pharmacy Market Management,(16),81-95.
107. Wills, J., Samli, A.C., and Jacobs, L., 1991,” Developing global products and marketing strategies: a construct and a research agenda”, Journal of the Academy of Marketing Science.19(1),10.
108. Wolin, L.D., and Korgaonkar, P., 2003,”Web advertising: gender differences in beliefs, attitudes and behavior”, Internet Research: Electronic Networking Applications and Policy, 13(5), 375-385.
109. Yoo, C.Y and Stout, P.A.,2001,”Factors affecting users’ interactivity with the Web site and the consequences of users’ interactivity”, In: Taylor, C.R. (ed.), 53-61.
110. Zaichkowsky, J.L.,1985, ”Measuring the involvement constructs”, Journal of
84
Consumer Research, 12, 341-352.
111. Zhang, P., 2000,”The effects of animation on information seeking performance on the WWW securing attention or interfering with primary tasks? “, Journal of the
Association for Information System, 35, 61-72.
112. Zucker, L.G.,1986,”Production of Trust: Institutional Sources of Economic Structure”, Research in Organizational Behavior, 8, 53-111.
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top