The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
An Empirical Examination of the Structural Antecedents of Attitude toward the Ad in an Advertising Pretesting Context
Abstract
Recent research has identified attitude toward the ad (A Ad ) as an important construct mediating the effects of advertising on brand attitude and purchase intention. To date, however, little attention has been directed toward explaining the origins of A Ad . The authors present the latest version of a theory of A Ad formation, report the results of an empirical test of a portion of that theory, and offer further refinements to the theory based on the observed results. Implications of the findings for advertising practice are discussed.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“In line with other forms of advertising, the perceived credibility of the green advertisement is a key antecedent of attitudes towards the ad and the brand (Choi and Rifon, 2002; MacKenzie and Lutz, 1989; Tucker et al. , 2012).”
From How Claim Specificity Can Improve Claim Credibility in Green Advertising: Measures that Can Boost Outcomes From Environmental Product Claims (2018) · cites this paper as MacKenzie and Lutz, 1989
In the citing paper
“To the extent that the credibility of the claim influences the credibility of the advertisement (Lutz, MacKenzie and Belch, 1983), and thus consumer attitudes to the ad and the brand (MacKenzie and Lutz, 1989; Tucker et al ., 2012), the question of how claim credibility might be ensured and enhanced is fundamental to the development of effective advertising.”
From How Claim Specificity Can Improve Claim Credibility in Green Advertising: Measures that Can Boost Outcomes From Environmental Product Claims (2018) · cites this paper as MacKenzie and Lutz, 1989
Citations
Cites
(1975) · PhilPapers (PhilPapers Foundation) · Cited by 36,737
Statistical principles in experimental design.
Winer, B. J. (1962) · McGraw-Hill Book Company · doi:10.1037/11774-000 · Cited by 26,755
Significance tests and goodness of fit in the analysis of covariance structures.
Bentler, P. M., & Bonett, D. G. (1980) · Psychological Bulletin · doi:10.1037//0033-2909.88.3.588 · Cited by 19,023
Measuring the involvement construct
Zaichkowsky, J. L. (1985) · Journal of Consumer Research · doi:10.1086/208520 · Cited by 6,013
Communication and Persuasion: Central and Peripheral Routes to Attitude Change
Marquart, F., & Naderer, B. (2015) · Springer eBooks · doi:10.1007/978-3-658-09923-7_20 · Cited by 5,004
Attitudes and Persuasion: Classic and Contemporary Approaches
Petty, R. E., & Cacioppo, J. T. (1981) · Medical Entomology and Zoology · Cited by 3,368
MACKENZIE, S. B., Lutz, R. J., & Belch, G. E. (1986) · Journal of Marketing Research · doi:10.2307/3151660 · Cited by 2,639
Self-citationAre Product Attribute Beliefs the Only Mediator of Advertising Effects on Brand Attitude?
Mitchell, A. A., & Olson, J. C. (1981) · Journal of Marketing Research · doi:10.2307/3150973 · Cited by 1,472
Direct Experience And Attitude-Behavior Consistency
Fazio, R. H., & Zanna, M. P. (1981) · Advances in Experimental Social Psychology · doi:10.1016/s0065-2601(08)60372-x · Cited by 1,214
The Power of Feelings in Understanding Advertising Effects
Edell, J. A., & Burke, M. C. (1987) · Journal of Consumer Research · doi:10.1086/209124 · Cited by 1,119
Research works printed but not linked: 24
- Baker William E., 1987, Nonverbal Communication in Advertising, 59
- Batra Rajeev, 1985, Psychological Processes and Advertising Effects, 13
- Belch George E., 1984, Advances in Consumer Research, 11, 4
- 10.1037/0033-2909.88.3.588 · DOI · Paper page
- Cacioppo John T., 1985, Psychological Process and Advertising Effects, 91
- 10.1177/002224378001700202 · DOI
- Cohen Joel B., 1987, “Attitude, Affect and Consumer Behavior,”
- Hill Ronald P., 1986, Advances in Consumer Research, 13, 164
- 10.1177/002224378201900402 · DOI
- Jöreskog Karl G., 1983, LISREL VI: Analysis of Linear Structural Relationships by Maximum Likelihood and Least Square Methods.
- Lutz Richard J., 1985, Psychological Processes and Advertising Effects: Theory, Research and Application, 45
- Lutz Richard J., 1983, Advances in Consumer Research, 10, 532
- Lutz Richard J., 1977, Advances in Consumer Research, 4, 363
- 10.1177/002224378602300205 · DOI · Paper page
- Madden Thomas J., 1985, Marketing Communications—Theory and Research, 109
- 10.1177/002224378101800306 · DOI · Paper page
- Moore Danny L., 1983, Advances in Consumer Research, 10, 526
- Muehling Darrel D., 1986, AMA Summer Educators' Conference Proceedings, 29
- 10.1177/002224378602300102 · DOI · Paper page
- Percy Larry, 1985, Marketing Communications—Theory and Research, 13
- 10.1007/978-1-4612-4964-1 · DOI · Paper page
- 10.2307/270849 · DOI
- Stewart David W., 1986, Effective Television Advertising.
- Winick Charles, 1962, Journal of Advertising Research, 2, 28, 10.1080/00218499.1962.12519675 · DOI
Cited by
Understanding customer experience throughout the customer journey
Lemon, K. N., & Verhoef, P. C. (2016) · Journal of Marketing · doi:10.1509/jm.15.0420 · Cited by 5,765
The Persuasion Knowledge Model: How People Cope with Persuasion Attempts
Friestad, M., & Wright, P. (1994) · Journal of Consumer Research · doi:10.1086/209380 · Cited by 3,811
The Predictive Validity of Multiple-Item versus Single-Item Measures of the Same Constructs
Bergkvist, L., & Rossiter, J. R. (2007) · Journal of Marketing Research · doi:10.1509/jmkr.44.2.175 · Cited by 3,107
Baker, J., Parasuraman, A., Grewal, D., & Voss, G. B. (2002) · Journal of Marketing · doi:10.1509/jmkg.66.2.120.18470 · Cited by 2,257
Measuring the hedonic and utilitarian dimensions of consumer attitude
Voss, K. E., Spangenberg, E. R., & Grohmann, B. (2003) · Journal of Marketing Research · doi:10.1509/jmkr.40.3.310.19238 · Cited by 2,151
Measuring Attitude toward the Brand and Purchase Intentions
Spears, N., & Singh, S. N. (2004) · Journal of Current Issues & Research in Advertising · doi:10.1080/10641734.2004.10505164 · Cited by 1,812
How advertising works: what do we really know?
Vakratsas, D., & Ambler, T. (1999) · Journal of Marketing · doi:10.1177/002224299906300103 · Cited by 1,436
Goldsmith, R. E., Lafferty, B. A., & Newell, S. J. (2000) · Journal of Advertising · doi:10.1080/00913367.2000.10673616 · Cited by 1,301
Development of a Scale to Measure Consumer Skepticism Toward Advertising
Obermiller, C., & Spangenberg, E. R. (1998) · Journal of Consumer Psychology · doi:10.1207/s15327663jcp0702_03 · Cited by 1,037
Parguel, B., Benoît-Moreau, F., & Larceneux, F. (2011) · Journal of Business Ethics · doi:10.1007/s10551-011-0901-2 · Cited by 1,024
When Is Honesty the Best Policy? The Effect of Stated Company Intent on Consumer Skepticism
Foreh, M. R., & Grier, S. (2003) · Journal of Consumer Psychology · doi:10.1207/s15327663jcp1303_15 · Cited by 1,003
The effect of web interface features on consumer online purchase intentions
Hausman, A. V., & Siekpe, J. S. (2009) · Journal of Business Research · doi:10.1016/j.jbusres.2008.01.018 · Cited by 981
How consumers assess the value of advertising
Ducoffe, R. H. (1995) · Journal of Current Issues & Research in Advertising · doi:10.1080/10641734.1995.10505022 · Cited by 774
Determinants of retail patronage: A meta-analytical perspective
Pan, Y., & Zinkhan, G. M. (2006) · Journal of Retailing · doi:10.1016/j.jretai.2005.11.008 · Cited by 732
Information Processing from Advertisements: Toward an Integrative Framework
MacInnis, D. J., & Jaworski, B. J. (1989) · Journal of Marketing · doi:10.1177/002224298905300401 · Cited by 653
Factors affecting YouTube influencer marketing credibility: a heuristic-systematic model
Xiao, M., Wang, R., & Chan-Olmsted, S. (2018) · Journal of Media Business Studies · doi:10.1080/16522354.2018.1501146 · Cited by 497
Lafferty, B. A., Goldsmith, R. E., & Newell, S. J. (2002) · Journal of Marketing Theory and Practice · doi:10.1080/10696679.2002.11501916 · Cited by 467
Why smartphone advertising attracts customers: A model of Web advertising, flow, and personalization
Kim, Y. J., & Han, J. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.01.015 · Cited by 454
Historical and Personal Nostalgia in Advertising Text: The Fin de siècle Effect
Stern, B. B. (1992) · Journal of Advertising · doi:10.1080/00913367.1992.10673382 · Cited by 445
The Effects of Advertiser Reputation and Extremity of Advertising Claim on Advertising Effectiveness
Goldberg, M. E., & Hartwick, J. (1990) · Journal of Consumer Research · doi:10.1086/208547 · Cited by 444
Feeling ambivalent about going green
Chang, C. (2011) · Journal of Advertising · doi:10.2753/joa0091-3367400402 · Cited by 391
Advertising in social media: a review of empirical evidence
Knoll, J. (2016) · International Journal of Advertising · doi:10.1080/02650487.2015.1021898 · Cited by 362
Halliwell, E., & Dittmar, H. (2004) · Journal of Social and Clinical Psychology · doi:10.1521/jscp.23.1.104.26989 · Cited by 355
An analysis of antecedents and consequences of trust in a corporate brand
Sichtmann, C. (2007) · European Journal of Marketing · doi:10.1108/03090560710773318 · Cited by 334
Enhancing or disrupting guilt: the role of ad credibility and perceived manipulative intent
Cotte, J., Coulter, R. A., & Moore, M. (2005) · Journal of Business Research · doi:10.1016/s0148-2963(03)00102-4 · Cited by 324
Guilt appeals: persuasion knowledge and charitable giving
Hibbert, S., Smith, A., Davies, A., & Ireland, F. (2007) · Psychology & Marketing · doi:10.1002/mar.20181 · Cited by 300
Choi, S. M., & Rifon, N. J. (2002) · Journal of Interactive Advertising · doi:10.1080/15252019.2002.10722064 · Cited by 248
Raney, A. A., Arpan, L. M., Pashupati, K., & Brill, D. A. (2003) · Journal of Interactive Marketing · doi:10.1002/dir.10064 · Cited by 205
The Effect of Misleading Environmental Claims on Consumer Perceptions of Advertisements
Newell, S. J., Goldsmith, R. E., & Banzhaf, E. J. (1998) · Journal of Marketing Theory and Practice · doi:10.1080/10696679.1998.11501795 · Cited by 202
Why Narrative Ads Work: An Integrated Process Explanation
Kim, E. (., Ratneshwar, S., & Thorson, E. (2017) · Journal of Advertising · doi:10.1080/00913367.2016.1268984 · Cited by 202
Bang, H., & Wojdynski, B. W. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2015.10.025 · Cited by 174
Alhabash, S., McAlister, A. R., Lou, C., & Hagerstrom, A. (2015) · Journal of Interactive Advertising · doi:10.1080/15252019.2015.1071677 · Cited by 128
Tucker, E. M., Rifon, N. J., Lee, E. M., & Reece, B. B. (2012) · Journal of Advertising · doi:10.1080/00913367.2012.10672454 · Cited by 123
Greenwashing and Bluewashing in Black Friday-Related Sustainable Fashion Marketing on Instagram
Sailer, A., Wilfing, H., & Straus, E. (2022) · Sustainability · doi:10.3390/su14031494 · Cited by 114
Design and Validation of an Instrument for Measuring Advertising Effectiveness in the Printed Media
Beerli, A., & Santana, J. D. M. (1999) · Journal of Current Issues & Research in Advertising · doi:10.1080/10641734.1999.10505092 · Cited by 93
A meta-analytic review of mobile advertising research
Maseeh, H. I., Jebarajakirthy, C., Pentecost, R., Ashaduzzaman, M., Arli, D., & Weaven, S. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2021.06.022 · Cited by 88
de Cosmo, L. M., Piper, L., & Di Vittorio, A. (2021) · Italian Journal of Marketing · doi:10.1007/s43039-021-00020-1 · Cited by 82
Redondo, I., & Aznar, G. (2018) · Telematics and Informatics · doi:10.1016/j.tele.2018.04.008 · Cited by 80
Ganz, B., & Grimes, A. (2018) · Journal of Advertising Research · doi:10.2501/jar-2018-001 · Cited by 71
Grappe, C. G., Lombart, C., Louis, D., & Durif, F. (2021) · International Journal of Retail & Distribution Management · doi:10.1108/ijrdm-12-2020-0489 · Cited by 57
Consumer response to green advertising: the influence of product involvement
Kong, Y., & Zhang, A. (2013) · Asian Journal of Communication · doi:10.1080/01292986.2013.774433 · Cited by 56
Store-choice behavior for pre-owned merchandise
Darley, W. K., & Lim, J.-S. (1993) · Journal of Business Research · doi:10.1016/0148-2963(93)90013-f · Cited by 46
Jeon, Y. A. (2022) · Journal of Business Research · doi:10.1016/j.jbusres.2022.03.028 · Cited by 39
Marketing effectiveness of hotel Twitter accounts: The case of Saudi Arabia
Alansari, M. T., Velikova, N., & Jai, T.-M. (. (2018) · Journal of Hospitality and Tourism Technology · doi:10.1108/jhtt-09-2017-0096 · Cited by 30
Exploring the privacy concerns of smartphone app users: a qualitative approach
Maseeh, H. I., Nahar, S., Jebarajakirthy, C., Ross, M., Arli, D., Das, M., Rehman, M., & Ashraf, H. A. (2023) · Marketing Intelligence & Planning · doi:10.1108/mip-11-2022-0515 · Cited by 29
(2009) · K-State Research Exchange (Kansas State University) · Cited by 13
Metadata
- Authors
- MacKenzie, S. B., & Lutz, R. J.
- Affiliations
- Indiana University.
- University of Florida.
- Venue
- Journal of Marketing
- Publisher
- SAGE Publications
- Published
- 1989-04
- Volume
- 53
- Issue
- 2
- Pages
- 48-65
- ISSN
- 0022-2429
- 1547-7185
- Cited by
- 4,880
- References
- 30
- Language
- en
- Licence
- journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.