NSSA - Country of Origin Cues in Brand Personality Assessment
Ryan Fehr
The College of New Jersey
During the past several decades, research on the quantification and classification of human personality has increased dramatically. Of particular interest is the Big Five Model, which posits a set of five latent dimensions of personality including Neuroticism, Extraversion, Openness to Experience, Agreeableness, and Conscientiousness. A detailed explanation of the theory’s history can be found in Digman’s (1990) comprehensive literature review. The applicability of the model is well-documented. Narcissistic and antisocial behavior, for example, correlate with low levels of Agreeableness, and may therefore be measured with the Big Five (Costa & McCrae, 1990). In both children and adults, Neuroticism is associated with depression (Ehrler, Evans, and McGhee, 1999).
In an effort to expand the applicability of the theory behind the Big Five, Aaker (1997) utilized factor analysis to develop a theoretical framework for quantifying the assessment of brand personality in psychological and marketing research. Defined formally as “the set of human characteristics associated with a brand,” researchers have examined the phenomenon of brand personality for many years (Birdwell, 1968; Thakor, 1996; Aaker, 1997).
The associations individuals make with brands are strong, and have been shown to both contribute to and reflect our personal identities (Belk, 1988). In more recent research, it has also been shown that our relationships with brands are dynamic, much akin to human relationships (Aaker, 2004). The importance of brand personality is not lost to marketers either, who have for years utilized the concept as a form of product differentiation and identification (Halliday, 1996; Elliott, 2004; Ives, 2004).
Academic research on brand personality has suffered, however, due in part to a lack of consensus on the definition of brand personality as a psychological construct, and the methodology of its analysis. In 2001, an attempt was made to directly apply the penta-factorial Big Five Model of personality in the context of brand personality assessment. However, the resulting data proved neither tenable nor replicable according to the scree test and Everett method, respectively (Caprara, Barbarnelli, and Gianluigi, 2001). Of greater promise is the Aaker (1997) study which, while parallel to the Big Five Model in terms of statistical methodology, developed a latent factor model unique to the brand personality construct. A Brand Personality Inventory was also developed and validated in the same study, which utilized a 42 question Likert-scale test to measure participant ratings of brand personality.
In a follow-up experiment, the Big Five of brand personality was assessed in a cross-cultural framework (Aaker, Benet-Martinez, and Garolera, 2001). The research assessed brand personality from the indigenous perspective, replicating the factor analyses of the original Big Five brand personality study with a combined emic-etic approach. Results found that while some brand personality dimensions remain consistent across cultures, others were unique to the individual countries (Aaker, Benet-Martinez, and Garolera, 2001).
Despite this detailed analysis of brand personality from the indigenous perspective, no research has yet utilized the Big Five of brand personality to examine culture as an externally imposed entity. In psychology and marketing literature, the concept of culture as an external force is generally referred to as “country of origin” (COO) and, as an influencing factor in consumer decision-making processes, has been studied heavily.
The first research study on country of origin was conducted in 1965, and concluded that country of origin did indeed influence product perception (Schooler, 1965). An early literature review, now regarded as a classic in the field, generally agreed that country of origin influences product perceptions. Findings from this early research include a positive correlation between product evaluation and the degree of a country’s economic development, a higher rating of foreign products by females than males, higher rating of products from countries of a person’s ancestors, and a view of foreign products as “riskier” than domestic products (Bilkey, and Nes, 1982).
More recently, a number of studies have contradicted the claims of early work cited by Bilkey and Nes. For instance, while early studies found a negative relationship between the use of country of origin cues and product familiarity, recent findings show a positive relationship (Huddleston, Good, and Stoel, 2000).
In much the same manner as with brand personality research, COO literature has suffered from a lack of consistency in methodology and definitional constructs. This fact is readily admitted by at least some members of the academic community, with a recent literature review concluding that “most of the recent country-of-origin studies provide us with little generalizable knowledge” (Ozomer, and Cavusgil, 1991, p.274).
It is the goal of the present research, therefore, to bridge the gap between COO and brand personality research through use of the Big Five of brand personality. This is accomplished through analysis of Aaker’s (1997) Brand Personality Inventory, and the degree to which changes in COO cues influence participant response to the scale. Such a design is of additional import, as it represents the first attempt to utilize the BPI in analysis of a single consumer cue through the development of a hypothetical brand model.
Breadth is added to the design by examining ethnocentricity as an additional independent variable. The concept of ethnocentricity in consumers has been examined in a number of studies, most often through use of Shimp and Sharma’s (1987) previously validated Consumer Ethnocentricity Scale (CETSCALE). The CETSCALE utilizes a variety of Likert scale questions to assess ethnocentricity, operationally defined as the belief held by consumers about the appropriateness and morality of purchasing foreign-made products in place of locally made products.
Method
Participants
For the purposes of this study, 137 participants were utilized. Participants were recruited from The College of New Jersey in Trenton, New Jersey and Widener University in Chester, Pennsylvania. All participants from The College of New Jersey were members of introductory psychology classes. Students participated by signing up for the study online and meeting with the administrator in small groups. The students are required to sign up for several studies as part of the psychology course curriculum. All participants from Widener University completed the study during undergraduate educational psychology classes, and received extra credit for their participation. Participants varied in age from 18 to 25 years. The average age of participants was 19 years. Ethnically, approximately 79.4% of participants were Caucasian, 7.4% were African American, and 6.6% were Asian. The remaining participants were of Latin or other origin.
Design
The study was designed as a questionnaire, to be taken in two subsequent parts. First, students were given a description of “Lasri Shirt Company,” a fictitious clothing company. The 150 word description contained mostly neutral details of the company, including sales figures, number of employees, the most profitable line of merchandise, and the slogan “Lasri: Better clothes for a better day.” Also included in each description was a COO cue. Four countries were included in the project, including the United States, Syria, Spain, and Japan. The choice of using the United States is self-explanatory, as it serves for an appropriate baseline in analyzing responses to other countries. Japan and Spain were both chosen as a logical extension of Aaker’s (2000) previous work with cross-cultural issues in brand personality. Syria was selected as a recognizable country which, while clearly Middle Eastern, is not found in the news as often as countries such as Iraq and Iran. A logical extension from this decision is that the cues will be based more on culture, and less on specific political or otherwise temporal issues. Therefore, in the choice of Syria it is possible to measure a culture distinct from Japan and Spain, yet representative of a major global culture.
Participants were randomly assigned to one of the four countries. After reading the brief company description, participants were provided with an explanation of the project and directions on how to proceed. This text was based on Aaker’s directions, and altered minimally to fit the context of the current task. Next, participants responded to the Brand Personality Inventory, a 42 question survey measured with the Likert system. Participants were prompted with a series of adjectives and asked to rate them on a scale of 1-7 from “not at all descriptive” to “very descriptive.” See Table 1 for a listing of the adjectives and their factors. Since the adjectives were presented in the pertinent body of research in groups according to their factors, it was necessary to randomize their order. This ensured that no primacy or recency effects could influence one or two factors unequally. The adjective order was randomized by first assigning them numbers in order, from 1-42, then randomizing them with a random number generator.
The second part of the questionnaire included the CETSCALE for ethnocentricity and a demographic sheet. The CETSCALE was originally developed by Shrimp and Sharma (1987) to measure participant ethnocentricity. It consists of 17 questions related to the country-of-origin perceptions of American consumers. The questionnaire utilized a seven-point Likert scale, 1= strongly disagree, 7= strongly agree. The demographic sheet was open-response, and asked participants to list their gender, age, ethnic background, and class year.
Materials and Procedures
Prior to beginning the survey, participants were provided with informed consent forms, verifying that they were above 18 years of age and agreed to the terms of the study. Participants were instructed to sign the form and return it to the administrator. The questionnaire was provided in two separate parts. First, participants were given the brand description, instructions for the Brand Personality Inventory, and the 42-point inventory itself. Next, students were instructed to complete the second questionnaire, which included the CETSCALE and a brief demographic profile. Once all students completed both sections of the survey, they were thanked for their participation and given debriefing forms, which explained the study in further detail and encouraged them to email the research team if interested in learning the results of the study.
Results
A one-way analysis of variance (ANOVA) was utilized to test for significant differences across countries in the five factors of the Brand Personality Inventory. Results yielded no significance for any of the five factors: Sincerity, F(3, 133) = .184, p > .05, Excitement F(3, 133) = .174, p > .05, Competence, F(3, 133) = .704, p > .05, Sophistication, F(3, 133) = .653, p > .05, and Ruggedness, F(3, 133) = .938, p > .05. For mean scores and standard deviations, refer to Table 2.
A series of ANOVAs was also conducted across countries for each of the 42 items of the scale, indicating significance only for item 26, F(3, 133) = 3.552, p =.016. The item uses the adjective “Western” as its prompt and represents one of the five adjectives that comprise the “Ruggedness” factor. It should, however, be noted that a series of 42 individual ANOVAs severely increases alpha inflation. The probability that an item within the 42 item set would by chance appear significant at the .016 level is 51%. For mean scores and standard deviations for item 26, refer to Table 3. Results also yielded no significant differences across the BPI factors in relation to score on the CETSCALE.
Discussion
The primary hypothesis of this study suggested that the Brand Personality Inventory would show significant country-of-origin effects on product choice. However, analysis of the data has shown no such significance. Despite the lack of significant findings, a number of observations should be noted.
One of the primary goals of this study was to analyze the efficacy of the Brand Personality Inventory in a hypothetical setting. This goal is of particular import because it draws attention to the potential applications of the BPI in the future. Before the present study, the BPI had been used only in the analysis of real brands. While such analyses may provide significant qualitative information for marketers, the study of real brands severely limits the ability to analyze specific variables that influence consumer decision-making. This is due to their inherently dynamic nature, which essentially eliminates the possibility for variable isolation. The influence of country of origin in consumer decision-making is well documented. Therefore, the lack of findings in the current study must be due to either the experimental design or the strength of the BPI.
One of the primary issues with the experimental design is the nature of the participant sample. Whereas the original study by Aaker utilized a sample representative of the general population, the current study used a student sample. While the use of a student sample brings the external validity of the study into question, it should not, in this case, compromise the strength of COO effects. Most studies examining COO have used student samples, yet nonetheless achieved significant results (Ozsomer and Cavusgil, 1991).
Another question in regards to design is the strength of the cue within the experiment itself. It may be possible, in theory, that the country cue was simply not strong enough to be recognized. However, in the BPI, the most concrete reference to COO, which asked participants how descriptive the term “western” was of the brand, yielded significance where p=.016. This suggests that the cue was adequately observed by the participants. However, as stated previously, the alpha inflation associated with a set of 42 ANOVAs requires this finding to be approached with caution. Statistically, there is a 51% chance that one of the items in the set would achieve significance at the .016 level strictly by chance.
Perhaps the most important issue to analyze is the potential applicability of the BPI to hypothetical brands. In the current study, the scale did not detect significant COO effects. This may be due to the fact that no COO effects exist, though this is doubtful considering the number of previous studies suggesting the opposite. It may also be possible that the scale cannot detect COO effects. In this case, the scale is limited at least in part in its applicability to a variety of research models. Of most interest, however, is the possibility that the scale simply cannot be used in the analysis of hypothetical brands in any context. If this is true, the usefulness of the scale is limited. As stated previously, the dynamic nature of real brands generally precludes the isolation of variables. Without hypothetical brand analysis, the scale essentially exists as a tool for naturalistic observation, and should thus be viewed within these confines.
Additional studies are needed to examine whether the results of the current study are due to experimental design or the BPI. This may be accomplished through the analysis of variables that do not involve COO, but are examined with hypothetical brands. It may also be useful to mirror the current study with a more representative population, different COO cues, and a more developed hypothetical brand.
References
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89-99.
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Table 1
Brand Personality Inventory
Traits |
Factor Names |
Down-to-earth |
Sincerity |
Family-oriented |
|
Small-town |
|
Honest |
|
Sincere |
|
Real |
|
Wholesome |
|
Original |
|
Cheerful |
|
Sentimental |
|
Friendly |
|
Daring |
Excitement |
Trendy |
|
Exciting |
|
Spirited |
|
Cool |
|
Young |
|
Imaginative |
|
Unique |
|
Up-to-date |
|
Independent |
|
Contemporary |
|
Reliable |
Competence |
Hard working |
|
Secure |
|
Intelligent |
|
Technical |
|
Corporate |
|
Successful |
|
Leader |
|
Confident |
|
Upper class |
Sophistication |
Glamorous |
|
Good looking |
|
Charming |
|
Feminine |
|
Smooth |
|
Outdoorsy |
Ruggedness |
Masculine |
|
Western |
|
Tough |
|
Rugged |
|
Table 2
Mean Scores and Standard Deviations for BPI Factors
|
Sincerity |
Excitement |
Competence |
Sophistication |
Ruggedness |
Japan
Mean
SD |
35.61
6.29
|
36.19
7.33
|
29.83
4.19
|
16.42
4.53
|
11.31
3.23
|
Spain
Mean
SD |
36.47
4.80
|
36.81
5.56
|
31.36
5.33
|
17.06
4.22
|
12.61
3.84
|
United States
Mean
SD |
36.61
8.37
|
37.32
8.54
|
31.00
4.84
|
16.26
4.93
|
12.68
4.27
|
Syria
Mean
SD |
35.76
7.50
|
36.38
5.98
|
30.71
4.12
|
15.62
3.54 |
12.03
4.18
|
Table 3
Mean Scores and Standard Deviations for Item 26
|
Item 26: “Western” |
Japan
Mean
SD |
2.06
1.07
|
Spain
Mean
SD |
2.11
.82
|
United States
Mean
SD |
2.77
1.38
|
Syria
Mean
SD |
2.00
1.04
|
|