Homogeneity versus heterogeneity of cultural values: An item-response theoretical approach applying Hofstede's cultural dimensions in a single nation
Introduction
Tourism is a global market and as such requires marketers to face the dilemma of whether it is appropriate to standardize or segment the tourism product and its promotional mix (You, O'Leary, Morrison, & Hong, 2001). Chief among segmentation strategies is one focused on tourists' preferences and behaviors based upon national cultures. The shared value structures often noted within a defined nationality or multinational grouping (Erez & Earley, 1993) are derived from a society's historical “patterned ways of thinking, feeling, and reacting” (Kluckhohn, 1954, p. 86). Though many have argued that shared languages, telecommunications, economic consolidation, tourism, and immigration are influencing the convergence of cultural values (Dann, 1993, Nowak and Kochkova, 2011, Reisinger and Crotts, 2012), the preponderance of the literature supports culture as one of the many forces influencing consumer decision-making (Correia et al., 2011, Figuez et al., 2012, Hsu et al., 2013, Kim and McKercher, 2011, Lam, 2007) and thus is important to those in the business of marketing internationally.
The foundation for much cross-cultural research is the pioneering work of Geert Hofstede, 1980, Hofstede, 2001, De Mooij and Hofstede, 2011. Through a combination of primary and secondary data, Hofstede, 1980, Hofstede, 2001 evaluated 66 nations, creating cultural index scores and ordinal rankings for five constructs. Briefly they are: power distance (a tolerance for class differentials in society); individualism (the degree to which welfare of individualism is valued more than the group); masculinity (achievement orientation, competition and materialism); uncertainty avoidance (intolerance for risk); and later long-term orientation (stability, thrift, respect for tradition, and future oriented) the Confucian dynamic of long-term–short-term orientation) which he contends effectively distinguish people from various nations. Between 1980 and 2014, these works have been cited more than 1900 times in Business Source Primer, which exceeds the combined citations of the alternative theories of Schwartz, 1994, Schwartz, 2006, Inglehart and Baker, 2000, and Steenkamp (2001). The method these recent studies used generally group respondents based on their national citizenship or country of birth. Once grouped, respondents are assigned numeric values based on their citizenship involving one or more of Hofstede's cultural traits, and these quantified cultural values are correlated with various aspects of consumer behavior (De Mooij & Hofstede, 2002). This approach is unlike what is found in typical consumer research where a metric is administered to an individual to measure his or her differences from others. For illustration, Money and Crotts (2003) treated Japanese as collectivists and uncertainty avoiders and Germans in their samples as individualists and risk takers. Such an approach is acceptable when the unit of analysis is a country, and when qualified by the fact that variability does exist within a country (Reisinger & Crotts, 2010). However the approach is inappropriate when the unit of analysis is an individual.
According to Soares, Farhangmehr, and Shoham (2007) review of the literature, defining culture in terms of nationality or place of birth is common in business research in general. Despite the level of sophistication attained in market segmentation theory, tourists' nationality has been the most popular segmentation criterion routinely practiced by destination managers. Clearly, but not always recognized by practitioners, nationality serves as a proxy for cultural values assumed to be homogenous within a nation's members. But is it true? If CV dimensions can be validated on individual levels, we may further investigate the homogeneity versus heterogeneity issue within a nation allowing us to address issues such as the speed of acculturation of immigrants and regional differences.
Section snippets
Research objectives
Hofstede has warned researchers several times that his VSM instruments from which he derived his five cultural dimensions produce results that are generalizable at the national level and are not intended to be applied at the individual level. Actually, as Fischer, Vauclair, Fontaine, and Schwartz (2010) demonstrated with MDS and Procrustes analysis of the Schwartz Value Survey, one must not expect particularly strong isomorphism between the national-level and individual-level dimensional
Sampling
The database consists of two independent samples. Generating separate estimates for each sample justifies more rigorous test conclusions than reliance on single-source results. Subjects for Sample #1 were composed of 621 members of a paid consumer panel in the US who were administered the survey in March 2014. To insure that respondents carefully considered all responses, a series of validation questions were inserted into the online survey in order to identify completed surveys that were
Conclusions, limitations, and future research
Subject to an item-response theoretical framework, the CVSCALE proved to be a reasonably valid and reliable means of measuring Hofstede's five cultural dimensions on the individual or psychological level across two datasets. It is our hope that these results will encourage other researchers to employ the CVSCALE using samples drawn from other nations in an effort to further test its reliability and generalizability.
Researchers should note before employing the scale that the results of this
Josef A. Mazanec, Ph. D., is full professor of Modul University Vienna and emeritus professor of the Vienna University of Economics and Business (WU). He was the head of the Institute for Tourism and Leisure Studies of WU (1981–2010) and a visiting scholar at the Sloan School of Management, MIT, in 1992. During 1997–2002 he served as the Vice-Rector for Research of WU. In 1997–2000 he was the Speaker of the Joint Research Program on “Adaptive Models and Systems in Economics and Management
References (45)
- et al.
Multidimensional versus unidimensional measures in assessing national cultural values: the Hofstede VSM 94 Example
Journal of Business Research
(2006) - et al.
Convergence and divergence in consumer behavior: implications for international retailing
Journal of Retailing
(2002) - et al.
Culture, economic development, and national ethical attitudes
Journal of Business Research
(2008) - et al.
Tourist intention to visit a country: the impact of cultural distance
Tourism Management
(2007) - et al.
Hofstede's dimensions of culture in international marketing studies
Journal of Business Research
(2007) Mokken scale analysis in R
Journal of Statistical Software
(2007)- et al.
A measure of long-term orientation: development and validation
Journal of the Academy of Marketing Science
(2006) - et al.
The parameterless self-organizing Map Algorithm
IEEE Transactions on Neural Networks
(2006) - et al.
Impact of culture on tourist decision-making styles
International Journal of Tourism Research
(2011) The affect of cultural distance on overseas travel behavior
Journal of Travel Research
(2004)
Visitor adaptation to cultural distance on visitor satisfaction: the case of first time visitors to Hong Kong
Tourism Analysis
Limitations in the use of nationality and country of residence variables
Cross-cultural consumer behavior: a review of research findings
Journal of International Consumer Marketing
Dimensions of national culture and effective leadership patterns: Hofstede revisited
Culture, self-identity, and work
The formation of a tourist destination's image via information sources: the moderating effect of culture
International Journal of Tourism Research
Are individual-level and country-level value structures different? testing Hofstede's legacy with the Schwartz value survey
Journal of Cross-Cultural Psychology
Culture's consequences: International differences in work-related values
Culture's consequences: Comparing values, behaviors, institutions, and organizations across nations
Culture and organizations: Software of the mind
Critical tests of multiple theories of cultures' consequences: comparing the usefulness of models
Journal of Travel Research
Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives
Structural Equation Modeling
Cited by (47)
Rebuilding international tourism after a pandemic: Using Hofstede's cultural dimensions to identify markets with lower pandemic-related travel risks
2024, Journal of Destination Marketing and ManagementAdvancing the understanding of the resident pro-tourism behavior scale: An integration of item response theory and classical test theory
2022, Journal of Business ResearchCitation Excerpt :It indicates the likelihood that a participant will provide a given response to an item based on their position on a latent construct (Stanton, Sinar, Balzer, & Smith, 2002). The steeper the ICC slope, the greater the discrimination between individuals at different levels of the trait being measured (Mazanec et al., 2015). Some IRT assumptions need to be met before proceeding with the IRT analysis.
Breaking barriers for Bangladeshi female solo travelers
2022, Tourism Management PerspectivesCitation Excerpt :In response to these weaknesses, Yoo et al. (2011) developed a 26-point cultural value scale (CVSCALE) that allows researchers to assess Hofstede's cultural dimensions at the individual level “for a more general context while achieving satisfactory psychometric properties” (Yoo et al., 2011, p. 197). While there is great potential for this adaptation in hospitality and tourism research, of the 596 studies that cited Yoo et al.'s (2011) CVSCALE, only four have been published in hospitality journals (Crotts & Mazanec, 2018; Litvin, 2019; Manosuthi, Lee, & Han, 2020; Mariani & Predvoditeleva, 2019), and ten in tourism journals (Alcántara-Pilar, del Barrio-García, Crespo-Almendros, and Porcu, 2017; Mazanec, Crotts, Gursoy, & Lu, 2015; Muñoz-Leiva, Mayo-Muñoz, & De la Hoz-Correa, 2018; Sunny, Patrick, & Rob, 2019; Pezzuti, Pierce, & Leonhardt, 2018; Šerić, 2018; Yu & Ngan, 2019; Wen, Hu, & Kim, 2018; Wu, Chen, & Cheng, 2019), with none assessing within-group variations in a solo travel context. Ahn and McKercher (2018) examined within-group variations of the CVSCALE using a sample of Korean tourists to assess the relationship between cultural values and international tourism but found no significant differences among respondents when Hofstede's scale was applied.
Supporting digital content marketing and messaging through topic modelling and decision trees
2021, Expert Systems with ApplicationsUnravelling the effects of cultural differences in the online appraisal of hospitality and tourism services
2020, International Journal of Hospitality ManagementCitation Excerpt :Moreover, the Internet has facilitated connections among service providers and consumers belonging to different language groups, thus stimulating a pronounced growth in inter- and cross-cultural communication (Holmqvist and Grönroos, 2012). Among services industries, the hospitality and tourism industry has witnessed the most significant growth in intercultural communication: firms operating in this industry get in contact on a daily basis with customers from dissimilar cultural backgrounds (Mazanec et al., 2015). Thus far, cross-cultural and inter-cultural interactions and their appraisal have been mostly analyzed by way of traditional surveys conducted on relatively small samples of services customers in offline settings (Mattila, 2000; Wang et al., 2015).
Evaluating domestic bias on airline passengers’ ratings: The moderating effect of cultural value orientation
2020, International Journal of Hospitality Management
Josef A. Mazanec, Ph. D., is full professor of Modul University Vienna and emeritus professor of the Vienna University of Economics and Business (WU). He was the head of the Institute for Tourism and Leisure Studies of WU (1981–2010) and a visiting scholar at the Sloan School of Management, MIT, in 1992. During 1997–2002 he served as the Vice-Rector for Research of WU. In 1997–2000 he was the Speaker of the Joint Research Program on “Adaptive Models and Systems in Economics and Management Science”. His research interests are in tourism management, explanatory models of consumer behavior, strategic marketing, multivariate methods, decision-support systems, and management science applications in tourism and hospitality.
John C. Crotts, Ph. D., is a Professor in the Department of Hospitality and Tourism Management in the School of Business at the College of Charleston (Email: [email protected]) and a visiting scholar at the MCI University in Innsbruck, Austria. His research encompasses the areas of economic psychology, tourism marketing and sales strategy, and management of cooperative alliances.
Dogan Gursoy, Ph. D., is a Distinguished Professor in the School of Hospitality Business Management at Washington State University, USA (Email; [email protected]) and a Senior Research Fellow in the School of Tourism and Hospitality at University of Johannesburg, South Africa. He serves as the Editor-in-Chief of Journal of Hospitality Marketing & Management. His research interest focuses on services management, hospitality and tourism marketing, tourist behavior, travelers' information search behavior, community support for tourism development, cross-cultural studies, consumer behavior, involvement, and generational leadership.
Lu Lu, Ph. D., is a candidate and instructor of School of Hospitality Business Management, Carson College of Business at Washington State University (Email: [email protected]). She serves as a reviewer for Journal of Business Research and Journal of Hospitality Marketing & Management. Her research interests encompass green food consumption and consumer behavior, consumer complaining efforts, and tourists' experience at historic destinations.