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Record W1541919898

The Effect of Cultural Orientation on Advertising Effectiveness. A Comparison among Americans, Mexican-Americans, and Mexicans

2011· article· en· W1541919898 on OpenAlexaboutno aff
Cecilia Montes Maldonado

Bibliographic record

VenueAcademy of Marketing Studies journal · 2011
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsnot available
Fundersnot available
KeywordsAdvertisingPopulationCultural identityCultural diversitySocializationTourismMarketingSociologyPsychologyPolitical scienceBusinessFeelingSocial psychologyDemography
DOInot available

Abstract

fetched live from OpenAlex

ABSTRACT The purpose of this paper is to investigate the effect that cultural orientation has on advertising effectiveness. The samples are extracted from three different populations: Americans, Mexicans, and Mexican-Americans. A total of 331 usable questionnaires were gathered. Results show that cultural elements in advertising don't have significant impact on advertising effectiveness for neither the American nor the Mexican populations; however, for the Mexican-American population with high Mexican cultural orientation, Mexican cultural elements in advertising have a significant positive effect in advertising effectiveness. INTRODUCTION Cultural and national artifacts or elements have become an important economic and marketing attraction (Edson, 2004). Nations and cultures all over the world are gaining importance, not only for the tourism industry, but for the experiences related to different cultures in which people might live. Indeed, cultures survive as long as they have marketable elements that are attractive to be consumed (Firat, 1995). As members of a community, people have a sense of identification with one or more countries and with one or more cultures (Deshpande et al, 1986; Whittler et al, 1991). The way this sense of identification or belongingness to a community is acquired is beyond the scope of this study; however there is a common believe that this is done by socialization. It is noticeable that we can have more than one citizenship. It is also true that we can identify with more than one culture. The main focus of this paper is to explore how these cultural elements might impact advertising effectiveness. In advertising, culture-related elements have been used extensively. It is common to observe on TV ads the countries' flags, national sport heroes as spokesmen, and other cultural elements, such as traditions and cultural practices. However, there is no formal study in marketing literature where cultural orientation is considered. By considering not only culture, but also cultural orientation, this paper will shed light on the understanding of the use of cultural elements in ads and how different communities that live in the US can be targeted more effectively. We are assuming that Americans have American cultural orientation, and Mexicans have Mexican cultural orientation. For the Mexican-American community, we use scale ARSMA (The Acculturation Rating Scale for Mexican- Americans) developed by Cuellar et al. (1995). This scale contains two subscales that measure AOS (American orientation subscale) and MOS (Mexican orientation subscale) of 6 items each. The importance that this study has for marketing is high. For advertisers, the results of this study will give insights about the proper way to use cultural elements in advertising to ensure effectiveness, and for academicians, this study opens a new stream of research on culture and cultural orientation. LITERATURE REVIEW In marketing literature, there has been some research about cross cultural studies related with advertising. For example, Callow and Shiftman (2004) studied print advertising between high and low context cultures. Also the effectiveness of comparative vs. non-comparative advertising has been studied in a cross-cultural settings (Jeon and Beatty, 2002; Shao et al, 2004). Furthermore, there are comparisons between advertising from the US and other countries like Britain (Caillât and Mueller, 1996), Japan (Mueller, 1987), China (Lin, 2001; Zhang and Neelankavil, 1997), and Hispanic/Mexican advertising (Roberts and Hart, 1997). Similarly, cultural studies deal with the national identities reflected in advertising. Examples include Thai identity (Jory, 1999), Canadian identity (Macgregor, 2003), and Russian identity (Morris, 2005). Also, other studies deal with the effect of language, for example Koslow et al (1994) studied the effect of the Spanish language as an important element for identification as Hispanic. …

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.243
Threshold uncertainty score0.473

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.058
GPT teacher head0.340
Teacher spread0.282 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2011
Admission routes1
Has abstractyes

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