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Hypothetical bias and framing effect in the valuation of private consumer goods

results of the study may have both theoretical and practical implications. First, this paper will supplement and broaden the existing knowledge of the determinants of the valuation of consumer goods, as well as improve current research methods for eliciting the market prices. As using the framing effect (especially, the positive attribute framing) is remarkably common in advertising messages and slogans, the research will also facilitate recommendations within marketing sciences. 2 Literature review The first behavioural effect relevant to my study is the

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Emotional or Rational? The Determination of the Influence of Advertising Appeal on Advertising Effectiveness

Different Flavors You Never Know What Behavior You're Going to Get. Advances in Consumer Research. Association for Consumer Research (U. S.), 37 , 24-27. Chang, W. Y., and Chang, I. Y., 2014. The Influences of Humorous Advertising on Brand Popularity and Advertising Effects in the Tourism Industry. Sustainability, 6 (12), 9205-9217. doi: 10.3390/su6129205 Davies, M., 1993. Developing Combinations of Message Appeals for Campaign Management. European Journal of Marketing, 27 (1), 45-63. doi: 10.1108/03090569310024558 Dong-Jenn, Y., Chen-Yin, L., Hsiung

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Survey vs Scraped Data: Comparing Time Series Properties of Web and Survey Vacancy Data

.g., low frequencies correspond to the long-term, high frequencies to very short-time periods). An important difference with the traditional method presented above is that in spectral and cross-spectral analysis timescales are not a priori imposed by the researcher. Structural characteristics and cyclical behavior are extracted from the data itself and identified at different timescales. Periodicity of short-, medium-, and long-term components is endogenous from the analysis ( Granger and Hatanaka, 2015 ; Iacobucci, 2005 ) and the statistical comparison of frequency

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The Effectiveness of Branded Mobile Apps on User’s Brand Attitudes and Purchase Intentions

,” Journal of Marketing , Vol. 74, No. 6, 1-17. 14. Phelps, J. & Hoy, M. (1996). “The A ad-Ab-PI Relationship in Children: The Impact of Brand Familiarity and Measurement Timing,” Psychology & Marketing, Vol. 13, No.1, 77-101 15. Shimp, T. & Gresham, L. (1985). “Attitude toward the Advertisement and Brand Attitudes: A Classical Conditioning Perspective,” Journal of Advertising, Vol. 14, No.1, 10-18. 16. Solomon, M.R. (2009). Consumer Behavior Buying, Having and Being (8 th ed). New Jersey, NJ: Pearson Education. 17. Spears, N., & Singh, S. N

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Influence of segmentation factors on leaflet distribution

Risk: Risk Preference, Monetary Goals and Information Search. Personality and Individual Differences, 18(6), 771-782. Moisa, S., Fruja, I., Elena Pet, E. et al. (2010). A comparative study on the effectiveness of advertising leaflets for kaufland stores in timisoara. Agricultural Management, 12(2), 1-10. Nagyová, Ľ., Stávková, J,. Tonkovičová, Z. (2008). Selected characteristics of slovak consumers purchasing behaviour. In Acta universitatis agriculturae et silviculturae mendelianae brunensis. Sborník Mendelovy zemědělské a lesnické univerzity v Brně, 56

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From Fearful to Trustful – How Perceived Risk Dimensions in E-Commerce Differentiate between Consumers

Consumer Behavior, Harvard University Press, pp. 82-109. 7. Donthu, N. & Garcia, A. (1999), ‘The Internet Shopper’, Journal of Advertising Research 39(3), 52 - 58. 8. Featherman, M. S. & Pavlou, P. A. (2003), Predicting e-services adoption: a perceived risk facets perspective, International Journal of Human-Computer Studies 59(4), 451-474. 9. Finucane, M. L.; Slovic, P.; Mertz, C.; Flynn, J. & Satterfield, T. A. (2000), Gender, race, and perceived risk: the ‘white male’ effect., Health, Risk & Society 2(2), 159 - 172. 10. Forsythe, S.; Liu, C

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Using ZMET for Investigating the Role of Social Media in the Employment Process

reality: Transformation of native visitor experiences. Journal of Business Research, 69(2), p. 985-991. 10. Christensen, G. & Olson, J., 2002. Mapping consumers' mental models with ZMET. Psychology and Marketing, 19(6), pp. 477-501. 11. Coulter, R., Zaltman, G. & Coulter, K., 2001. Interpreting Consumer Perceptions of Advertising: An Application of the Zaltman Metaphor Elicitation Technique. Journal of Advertising, 30(4). 12. Donald, H., Rosen, P. & Mossholder, K., 2012. Social Networking Websites, personality ratings and

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Negative Word-of-Mouth: Exploring the Impact of Adverse Messages on Consumers’ Reactions on Facebook

R eferences 1. Anderson, Eugene W. (1998), “Customer satisfaction and word of mouth”, Journal of service research , Vol. 1, No. 1, pp. 5-17. doi:10.1177/109467059800100102 2. Audrain-Pontevia, Anne-Françoise, and Allan J. Kimmel (2008), “Negative word-of-mouth and redress strategies: An exploratory comparison of French and American managers”, Journal of Consumer Satisfaction, Dissatisfaction and Complaining Behavior , Vol. 21, pp. 124-136. 3. Bachleda, Catherine, and Boutaina Berrada-Fathi (2015), “Is negative eWOM more influential than

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Different Web Credibility Assessment as a Result of One Year Difference in Education

Ioan Cuza University Press, ISSN 1843-763X, VOl. 7, Nr. 2, p.63-84, 6. Bohner, G., Einwiller, S., Erb, H., P. and Siebler, F. (2003), „When Small Means Comfortable: Relations Between Product Attributes in Two-Sided Advertising”, Journal of Consumer Psychology, 13(4), 454-463. 7. Chiosa, A.R. (2014a), “Word of mouth: de la comunicarea prin viu grai la comunicarea online[Word of mouth: from verbally communication to communication online]”, Management Intercultural, Vol. XVI, Nr. 2(31), 415

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Efficient Use of Behavioral Tools to Reduce Electricity Demand of Domestic Consumers

., and Department of Energy and Climate Change, 2011. An introduction to thinking about ’energy behaviour’: A multi-model approach. Other, (december). Chetty, R., 2015. Behavioral Economics and Public Policy: A Pragmatic Perspective. American Economic Review, 105(5), 1-33. doi: Cialdini, R. B., Kallgren, C. A., and Reno, R. R., 1991. A focus theory of normative conduct. Advances in Experimental Social Psychology, 24, 201-234. doi:

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