1. Aaker, D.S. & Bruzzone, D.E. (1985). Causes of Irritation in Advertising. Journal of Marketing, 49(2),47-57.
2. Ajzen, I. & Fishbein M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs, N.J.
3. Azjen, I. (1988; 1991). Organizational Behavior and Human Decision Processes. Theories of Cognitive Self-Regulation, 50(2), 179-211.
4. Andrews, J. C., Durvasula, S. & Akhter, S.H. (1990). A Framework for Conceptualizing and Measuring the Involvement Construct in Advertising. Journal of Advertising Research,19(4), 27–40
5. Babin, L.A& Burns, A.C. (1997). Effects of print ad pictures and copy containing instructions to imagine on mental imagery that mediates attitudes. Journal of Advertising, 26(3), 33-44.
6. Babin, B.J., Darden, W.R. & Griffin, M. (1994). Work and/or fun: measuring hedonic and utilitarian shopping value. Journal of Consumer Research, 20, 644-656.
7. Bagozzi, R.P. and Dholakia, U. (1999). Goal Setting and Goal Striving in Consumer Behavior. Journal of Marketing, 63(October),19–32.
8. Balasubramanian, S., Peterson R.A.P. & Jarvenpaa, S.L. (2002). Exploring the Implications of m-Commerce for Markets and Marketing. Journalof the Academy of Marketing Science, 30(4), 348–361.
9. Barutçu, S. (2007). Attitudes towards mobile marketing tools: A study of Turkish consumers. Journal of Targeting, Measurement and Analysis for Marketing, 16, 26–38.
10. Batra, R. and Ahtola, O.T. (1990). Measuring the hedonic and utilitarian sources of consumer attitudes. Marketing Letters, 2(2), 159-170.
11. Bauer, R.A. & Greyser, S.A. (1968) Advertising in America Consumer View. Boston, MA: Harvard University.
12. Bettman, J.R. (1973). Perceived Risk and Its Components: A Model and Empirical Test. Journal of Marketing Research, 10(2), 184-190.
13. Bhagat, R.S., Krishnan, B., Nelson, T.A. &Leonard, K.M. (2010).Organizational stress, psychological strain, and work outcomes in six national contexts: a closer look at the moderating influences of coping styles and decision latitude. Cross Cultural Management, 17(1), 10-29.
14. Bloch, P.H and Bruce, G.D. (1984). Product Involvement as Leisure Behavior. Advances in Consumer Research,11, 197-202.
15. Bloch, P.H. and Richins, M.L. (1983). A Theoretical Model for the Study of Product Importance Perceptions. Journal of Marketing, 47(3), 69-81.
16. Bloch, P.H., Sherrell, D.L. and Ridgway, N.M. (1986). Consumer Search: An Extended Framework. Journal of Consumer Research, 13(1), 119-126.
17. Brackett, L.K., & Carr, B.N. (2001) Cyberspace advertising vs. other media: Consumer vs. mature student attitudes. Journal of Advertising Research, 41(5),23–32.
18. Bright, L.F. (2014). Taming the Information Beast: Content Customization and Its Impact on Media Enjoyment for Online Consumers. Online Journal of Communication and Media Technologies, 4(3), 48-61.
19. Burke, M.C. and Edell, J.A. (1989). The Impact of Feelings on Ad-Based Affect and Cognition. Journal of Marketing Research, 26(1), 69-83.
20. Cauberghe, V. &De Pelsmacker, P. (2010).Advergames. Journal of Advertising,39(1), 5-18.
21. Chang, H.J. (2002). Kicking Away the Ladder: Development Strategy in Historical Perspective. Anthem Press, 2002.
22. Cheng, J.M.S., Blankson, C., Wang, E.S.T, & Chen, L.S.L. (2009). Consumer attitude and interactive digital advertising, International Journal of Advertising, 28(3), 501-525.
23. Chiang, K.P. & Dholakia, R.R. (2003) Factors driving consumer intention to shop online: an empirical investigation. Journal of Consumer Psychology, 13(1/2), 177-183.
24. Childers, T.L., Carr, C.L., Peck, J. & Carson, S. (2002) Hedonic and Utilitarian Motivations for Online Retail Shopping Behavior. Journal ofRetailing, 77(4), 511–535.
25. Chin, Wynne W (1998). The Partial Least Squares Approach for Structural Equation Modeling," in Modern Methods for Business Research, George A. Marcoulides, ed., Hillsdale, NJ: Lawrence Erlbaum.
26. Chin, W.W., Marcolin, B.L. & Newsted, P.R. (2003). A partial least squares latent variable modeling approach for measuring interaction effects: results from a monte carlo simulation study and an electronic-mail emotion/adoption study. Information Systems Research, 14(2), 189-217.
27. Chin, W.W (1998).The partial least squares approach for structural equation modelling, in G.A. Marcoulides (ed)Modern Methods for Business Research, Mahwah, NJ: Lawrence Erlbaum Associates.
28. Chitturi, R., Raghunathan, R. & Mahajan, V. (2008). Delight by design: the role of hedonic versus utilitarian benefits. Journal of Marketing, 72(3), 48-63.
29. Choi, Y.K., Hwang, J.S. & McMillan, S.J. (2008). Gearing up for mobile advertising: a cross-cultural examination of key factors that drive mobile messages home to consumers. Psychology & Marketing, 25(8), 756-768.
30. Christin, D., L´opez, P.S., Reinhardt, A., Hollick, M. & Kauer, M. (2013). Share with Strangers: Privacy Bubbles as User-centered Privacy Control for Mobile Content Sharing Applications! Information Security Technical Report, 17(3), 105-116.
31. Chung, H. and Zhao, X. (2003). Humour effect on memory and attitude: moderating role of product involvement. International Journal of Advertising, 22(1), 117-144.
32. Churchill, G. A. (1979). A paradigm for developing better measures of marketing constructs. Journal of Marketing Research, 16(1), 64–73.
33. Clarke K & Belk R.W. (1979). The Effects of Product involvement and Task Definition on Anticipated Consumer Effort. Advances in Consumer Research,6(1), 313-318.
34. Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences, second ed. Hillsdale, NJ: Lawrence Earlbaum Associates.
35. Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334.
36. Dabholkar, P.A. and R.P. Bagozzi (2002). An Attitudinal Model of Technology-based Self-service: Moderating Effects of Consumer Traits and Situational Factors. Journal of the Academy of Marketing Science, 30(3), 184–201.
37. Darden, W.R. and Reynolds, F.D. (1971). Shopping Orientations and Product Usage Rates.Journal of Marketing Research,8(4), 505-508.
38. Davis, R. & Sajtos, L. (2008) Measuring consumer interactivity in response to campaigns coupling mobile and television media. Journal of Advertising Research, 48(3), 375-391.
39. De Wulf, K., Odekerken-Schroder, G. and Iacobucci, D. (2001) Investments in consumer relationships: a cross-country and cross-industry exploration. Journal of Marketing, 65(1), 33-50.
40. Dibbern, J., Goles, T., Hirschheim, R. A., & Jayatilaka, B. (2004). Information systems outsourcing: A survey and analysis of the literature. The Data Base for Advances in Information Systems, 35(4), 6–102.
41. Dodds, W.B., Monroe, K.B. and Grewal, D. (1991).Effects of Price, Brand, and Store Information on Buyers′ Product Evaluations. Journal of Marketing Research,2(8), 307-319.
42. Ducoffe (1996) How Consumers Assess the Value of Advertising. Journal of Current Issues & Research in Advertising, 17(1), 1-18.
43. Eagly, A.H. & Chaiken, S. (1993). The psychology of attitudes. Harcourt Brace Jovanovich College Publishers.
44. Eighmey, John & LorLa McCord (1998). Adding Value in the Information Age: Uses and Gratifications of Sites on the World Wide Web, Journal of Business Research 41(3), 187-194.
45. Elliott, M.T. and Speck, P.S. (1998). Predictors of Advertising Avoidance in Print and Broadcast Media. Journal of Advertising, 26(3), 61-76.
46. Epstein, S., Pacini, R., Denes-Raj, V., & Heier, H. (1996) Individual differences in intuitive–experiential and analytical–rational thinking styles. Journal of Personality and Social Psychology, 71(2), 390–405.
47. FIND, (2009), (2008). Retrieved on May 2nd , 2009 at: http//:www.find.org.tw
48. Faber, R. J. & O′Guinn, T. C. (1989). Compulsive buying: A phenomenological exploration. Journal of consumer research, 16(2), 147-157.
49. Falk, R.F. and N.B. Miller (1992). A Primer on Soft Modeling, Akron, OH: The University of Akron Press.
50. Fornell, C. and D. Larcker (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error.Journal ofMarketing Research, 18(1), 39–50.
51. Fornell, C., & Robinson, W. T. (1983). Industrial organization and consumer satisfaction/ dissatisfaction. Journal of Consumer Research, 9(4), 403–412.
52. Gale, N. (2011) QR codes and beyond: 3 technologies changing mobile marketing today. Target Marketing. Retrieved on May 10th, 2011 at http://www.targetmarketingmag.com/article/qr-codes-lbs-mms-changing-mobile-marketing-today
53. Gavilan, D., Avello, M., and Abril, C. (2014). The mediating role of mental imagery in mobile advertising. International Journal of Information Management, 34(4), 457–464.
54. Gefen, D., Straub, D.W. & Boudreau, M.C. (2000). Structural equation modelling and regression: guidelines for research practice. Communications of the Association for Information Systems, 4(7), 1-78.
55. Ghani, J.A. & Deshpande, S.P. (1994). Task characteristics and experience of optimal flow in human-computer interaction. TheJournal of Psychology, 128(4), 381-391.
56. Goldsmith, R.E., Freiden, J.B. & Eastman, J.K. (1995). The generality/specificity issue in consumer innovativeness research. Technovation, 15(10), 601-612.
57. Grewal, R., Cote, J. A., & Baumgartner, H. (2004). Multicollinearity and measurement error in structural equation models: Implications for theory testing. Marketing Science, 23(4), 519–529.
58. Groenewalt, E. (2011) Mobile comes into its own. Retrieved on May 10th, 2011 at http://www.bizcommunity.com/Article/196/424/56029.html.
59. Ha, L. (1996). Observations: Advertising Clutter in Consumer Magazines: Dimensions and Effects.Journal of Advertising Research,36(4), 76–84.
60. Hair, J.F., Ringle, C.M., and Sarstedt, M. (2011). PLS-SEM: INDEED A SILVER BULLET. Journal of Marketing Theory and Practice, 19(2), 139-151.
61. Henseler, J., Ringle, C.M. and Sinkovics, R.R. (2009). The Use of Partial Least Squares Path Modeling in International Marketing. Advances in International Marketing (AIM),20, 277-320.
62. Henseller, J. & Chin, W.W. (2010). Handbook of Partial Least Squares. Springer Berlin Heidelberg.
63. Higgins, C. A., Duxbury, L. E., & Irving, R. H. (1992). Work-family conflict in the dual-career family. Organizational Behavior and Human Decision Processes, 51(1), 51–75.
64. Hirschman, E.C. & Holbrook, M.B. (1982). The Experiential Aspects of Consumption: Consumer fantasies, feelings, and fun. Journal of Consumer Research, 9(2), 132-140.
65. Hirschman, E. C. (1984). Experience seeking: a subjectivist perspective of consumption. Journal of BusinessResearch, 12(1), 115-136.
66. Hoffman, D.E. & Novak, T.P. (1996). Marketing in Hypermedia Computer-Mediated Environments: Conceptual Foundations. Journal of Marketing, 60(3), 50-68.
67. Holbrook, M.B. & Hirschman, E.C. (1982) The Experiential Aspects of Consumption: Consumer fantasies, feelings, and fun. Journal of Consumer Research, 9(2), 132-140.
68. Hourahine, B. & Howard, M. (2004). Money on the Move: Opportunities for Financial Service Providers in the ‘Third Space’. Journal ofFinancial Services Marketing, 9(1), 57–67.
69. Huffman, C. and Houston M.J. (1993). Goal-Oriented Experiences and the Development of Knowledge. Journal of Consumer Research,20(2), 190-207.
70. Hulland, J. (1999). Use of partial least squares (PLS) in strategic management research: A review of four recent studies. Strategic management journal, 20(2), 195-204.
71. ITU. (2105). ICT figures: Statistics confirm ICT revolution of the past 15 years. Retrieved on July 5th at http://www.itu.int/net/pressoffice/press_releases/2015/17.aspx#.VZAzg_mqqko
72. Jih, W.-J. (2007) Effects of Consumer-Perceived Convenience on Shopping Intention in Mobile Commerce: An Empirical study. International Journal of E-Business Research, 3(4), 33-48.
73. Kim, S., Haley, E. &Koo, G.-Y. (2009).Comparison of the paths from consumer involvement types to ad responses between corporate advertising and product advertising. Journal of Advertising, 38(3), 67-80.
74. Kleijnen, M., de Ruyter, K. & Wetzels, M. (2007). An assessment of value creation in mobile service delivery and moderating role of time consciousness. Journal of Retailing, 83(1), 33-46.
75. Koo, W., Knight, D. K., Yang, K. & Xiang, Z. (2012). Generation Y Consumers′ Value Perceptions toward Apparel Mobile Advertising: Functions of Modality and Culture, International Journal of MarketingStudies,4(2),56-66.
76. Krugman, H.E. (1965). The Impact of Television Advertising: Learning Without Involvement. Public Opinion, 29(3), 349-356.
77. Kulviwat, S., Bruner, G.C., II, Nasco, S.A. & Clark, T. (2007). Toward a unified theory of consumer acceptance technology.Psychology & Marketing, 24(12), 1059-1084.
78. Laurent, G. & Kapferer J.N. (1985). Consumer Involvement Profiles: A New and Practical Approach to Consumer Involvement. Journal of Advertising Research, 25(6), 48-56.
79. Li, S.C.S. (2003). Electronic newspaper and its adopters: examining the factors influencing the adoption of electronic newspaper in Taiwan. Telematics and Informatics, 20(1), 35-49.
80. Lin, H-F., Yeo, B., and Chen, Y-S. (2013). Mobilizing Timely Location-Based Advertising: A Study of Effectiveness on Persuasion. Australian Journal of Business and Management Research, 3(6), 15-29.
81. Lichtlé, M.-C. (2007). The effect of an advertisement’s colour on emotions evoked by an ad and attitude towards the ad: The moderating role of the optimal stimulation level. International Journal of Advertising, 26(1), 37-62.
82. Liu, Y. &Shrum, L.J. (2009). A dual-process model of interactivity effects. Journal of Advertising. 38(2), 53-69.
83. Lou, X. (2002). Uses and gratifications theory and e-consumer behaviors: a structural equation modeling study.Journal of Interactive Advertising, 2(2), 34-41.
84. MacInnis, D.J. & Jaworski, B.J. (1989). Marketing Jobs and Management Controls: Toward a Framework. Journal of Marketing Research, 26(4), 406-419.
85. MacKenzie, S. B. & Lutz, R.J. (1989) An empirical examination of the structural antecedents of attitude toward the ad in an advertising pretesting context. Journal of Marketing, 53(April), 48-56.
86. Mantel, S.P. & Kellaris, J. (2003) Cognitive determinants of consumers′ time perceptions: the impact of resources required and available. Journal of Consumer Research, 29(4),531-538.
87. Markin, Rom J., Charles M. Lillis, and Chem L. Narayana (1976). Social-psychological significance of store space. Journal of Retailing 52(1), 43.
88. Marzursky, D. & Ganzah, Y. (1998). Does Involvement Moderate Time-Dependent Biases in Consumer Multiattribute Judgment? Journal of Business Research, 41(1), 95-103.
89. Mathwick, C. & Rigdon, E. (2004) Play, Flow, and the Online Search Experience. Journal of Consumer Research, 31(2),324-332.
90. Mathwick, C., N. Malhotra and E. Rigdon (2001). “Experiential Value: Conceptualization, Measurement and Application in the Catalog and Internet Shopping Environment,” Journal of Retailing, 77(1), 39–56.
91. McQuarrie, E. F., & Mick, D. G. (2003). Visual and verbal rhetorical figures under directed processing versus incidental exposure to advertising. Journal of consumer research, 29(4), 579-587.
92. Mick, D. G., & Fournier, S. (1998). Paradoxes of technology: Consumer cognizance, emotions, and coping strategies. Journal of Consumer Research,25(2), 123-143.
93. Mort, G.S. & Drennan, J. (2005). Marketing m-Services: Establishing a Usage Benefit Typology Related to Mobile User Characteristics. TheJournal of Database Marketing & Customer Strategy Management, 12(4),327–341.
94. Muk, A. (2007) Consumers’ intention to opt in to SMS advertising. International Journal of Advertising, 26(2),177-198.
95. Murray, K.B. Bellman, S. (2011). Productivity play time: the effect of practice on consumer demand for hedonic experiences. Journal of the Academy of Marketing Science, 39(3),376-391.
96. Murray, K. B., & Häubl, G. (2007). Explaining cognitive lock-in: The role of skill-based habits of use in consumer choice. Journal of Consumer Research, 34(1), 77-88.
97. Nantel, J. & Sekhavat, Y. (2008). The impact ofSMSadvertisingon members of a virtual community.Journal ofAdvertisingResearch, 48(3), 363-374
98. Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). New York, NY: McGraw-Hill.
99. Nysveen, H., Pedersen, P. & Thorbjornsen, H. (2005). Intention to Use Mobile Services: Antecedents and Cross-Service Comparisons. Journal of the Academy of Marketing Science, 33(3),330-346.
100. Okazaki, S. (2004). How do Japanese consumers perceive wireless ads? A multivariate analysis. International Journal of Advertising, 23(4),429-454.
101. Okazaki, S. (2008). Determinant factors of mobile-based word-of-mouth campaign referral among Japanese adolescents. Psychology & Marketing, 25(8),714-731.
102. Okazaki, S. & Taylor, C.R. (2008). What is SMS advertising and why do multinationals adopt it? Answers from an empirical study in European markets. Journal of Business Research, 61(1), 4-12.
103. Okazaki, S. & Barwise, P. (2011). Has the time finally come for the medium of the future? Research on mobile advertising. Journal of Advertising Research,51(March 2011), 1–13.
104. Okazaki, S., Li, H., & Hirose, M. (2012). Benchmarking the use of QR code in mobile promotion. Journal of Advertising Research, 52(1), 102–117.
105. Overby, J. W., & Lee, E. J. (2006). The effects of utilitarian and hedonic online shopping value on consumer preference and intentions. Journal of Business Research, 59(10), 1160-1166.
106. Park, J.W. & Hastak, M. (1994). Memory-based product judgments: effects of involvement at encoding and retrieval. Journal of Consumer Research, 21(4), 534-547.
107. Park, C. W., & Mittal, B. (1985). A theory of involvement in consumer behavior: Problems and issues. Research in Consumer Behavior, 1(3), 201-232.
108. Pavlou, P. A., & Chai, L. (2002). What drives electronic commerce across cultures? A cross-cultural empirical investigation of the theory of planned behaviour. Journal of Electronic Commerce Research, 3(4), 240–253.
109. Pelau, C., & Zegreanu, P. (2010). Mobile marketing-the marketing for the next generation. Management & Marketing, 5(2), 101-116.
110. Percy, L., & Rossiter, J. (2006). A Model of Brand Awareness and Brand Attitude Advertising Strategies. Psychology and Marketing, 9(4), 263-274.
111. Peters, C., Amato, C.H. & Hollenbeck, C.R. (2007) An Exploratory Investigation of Consumers’ Perceptions of Wireless Advertising. Journal of Advertising, 36(4),129-145.
112. Petty, R. E., Cacioppo, J. T., & Schumann, D. (1983). Central and peripheral routes to advertising effectiveness: The moderating role of involvement.Journal of Consumer Research, 10(2),135-146.
113. Podsakoff, P.M., MacKenzie, S.B. & Lee, J.Y. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879-903.
114. Ratchford, B. T., & Debabrata Talukdar, M. S. L. (2001). A model of consumer choice of the Internet as an information source. International Journal of Electronic Commerce, 5(3), 7-21.
115. Reichert, T., LaTour, M.S. & Kim, J.Y. (2007) Assessing the influence of gender and sexual self-schema on affective responses to sexual content in advertising. Current Issues and Research in Advertising, 29(2), 63-77.
116. Reinartz, W., Krafft, M., & Hoyer, W. D. (2004). The customer relationship management process: Its measurement and impact on performance. Journal of Marketing Research, 41(3), 293–305.
117. Ressler, N. (2004). Rewards and punishment, goal directed behavior and consciousness.Neuroscience & Bio-behavioral Reviews, 28: 27–40.
118. Richins, M. L. (1997). Measuring Emotions in the Consumption Experience.” Journal of ConsumerResearch,24(2), 127–46.
119. Ringle, C. M., Wende, S. & A. Will, A. (2005).SmartPLS2.0(M3) Beta, Hamburg: Universität Hamburg. Retrieved on March 2nd, 2008 at www.smartpls.de.
120. Rook, D. W. (1987). The buying impulse. Journal of Consumer Research, 14(2), 189-199.
121. Samuelsen, B.M. &Olsen, L.E. (2010).Promising attributes and experiences: attitudinal responses to functional versus experiential ad claims and the moderating role of involvement. Journal of Advertising,39(2), 65-78.
122. Seiders, K., Voss, G.B., Grewal, D. and Godfrey, A.L. (2005). Do Satisfied Customers Buy More? Examining Moderating Influences in a Retailing Context.Journal of Marketing, 69(4), 26-43.
123. Shavitt, S., Lowrey, P. & Haetner, J. (1998). Public Attitudes toward Advertising: More Favorable Than You Might Think. Journal of Advertising Research, 38(4),7-22.
124. Sherry Jr, J. F. (1990). A sociocultural analysis of a Midwestern American flea market. Journal of Consumer Research, 13-30.
125. Sojka, J.Z. & Giese, J.L. (2006). Communicating through pictures and words: understanding the role of affect and cognition in processing visual and verbal information.Psychology & Marketing, 23(12),995-1014.
126. Soroa-Koury, S., & Yang, K. C. (2010). Factors affecting consumers’ responses to mobile advertising from a social norm theoretical perspective.Telematics and Informatics, 27(1),103-113.
127. Sundar, S. S., & Marathe, S. S. (2010). Personalization versus customization: The importance of agency, privacy, and power usage. Human Communication Research, 36(3),298-322.
128. Tauber, E. M. (1972). Why do people shop? The Journal of Marketing, 36(4), 46-49.
129. Taylor, C.R. & Lee, D.H. (2008). Introduction: new media: mobile advertising and marketing. Psychology & Marketing, 25(8), 771-773.
130. Tenenhaus, M., Vinzi, V.E., Chatelin, Y.M. & Lauro, C. (2005). PLS path modeling.Computational Statistics & Data Analysis, 48(1),159-205.
131. Thota, S.C. and Biswas, A. (2009).I want to buy the advertised product only!Journal of Advertising, 38(1), 123-137.
132. Tsang, M.M., Ho, S.C. and Liang, T.-P. (2004) Consumer attitudes toward mobile advertising: an empirical study.International Journal of Electronic Commerce, 8(3), 65-78.
133. Tyebjee, T.T. (1979). Response time, Conflict, and Involvement in Brand Choice. Journal of Consumer Research, 6(3), 295-304.
134. Vakratsas, D., & Ambler, T. (1999). How advertising works: what do we really know? The Journal of Marketing, 63(1), 26-43.
135. Varki, S. & Wong, S. (2003) Consumer involvement in relationship marketing of service. Journal of Service Research. 6(1),83-91.
136. Varshney, S. and Joy, J. (2015). Consumer Attitudes toward Mobile Marketing and Its Impact on Customers. International Journal of Information, Business and Management, 7(2), 44-62.
137. Voss, K.E., Spangenberg, E.R. & Grohman, B. (2003). Measuring the hedonic and utilitarian dimensions of consumer attitude. Journal of Marketing Research, 40(3), 310-320.
138. Wernerfelt, B. (1985). Brand loyalty and user skills. Journal of Economic Behavior & Organization, 6(4), 381-385.
139. Werts, C. E., Linn, R. L., &Jöreskog, K. G. (1974). Intra-class reliability estimates: Testing structural assumptions. Educational and Psychological Measurement, 34(1),25–33.
140. Yang, X, & Smith, R.E. (2009). Beyond Attention Effects: Modelling the Persuasive and Emotional Effects of Advertising Creativity. Marketing Science, 28(5), 935-949.
141. Zaichkowsky, J.L. (1985). Measuring the involvement construct. Journal of Consumer Research, 12(3), 341-352.
142. Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence. The Journal of marketing, 52(3), 2-22.