The past few decades have seen an explosion in the interest in cultural differences and their impact on many aspects of business management. A noticeable feature of most academic studies and practitioner approaches is the predominant use of national boundaries and group-level averages as delimiters and proxies for culture. However, this largely ignores the significance that intra-country differences and cross-country similarities can have for identifying psychological phenomena. This article argues for the importance of considering intra-cultural variation for establishing connections between two different cultures. It uses empirical distributions of cultural values that occur naturally within a country, thereby making intracultural differences interpretable and actionable. For measuring cross-country differences, the Gini/Weitzman overlapping index and the Kullback-Leibler divergence coefficient are used as difference measures between two distributions. The properties of these measures in comparison to traditional group-level mean-based distance measures are analyzed, and implications for cross-cultural and international business research are discussed.
AlesinaA.DevleeschauwerA.EasterlyW.KurlatS.JournalS.JunN.AlesinaA. (2003). Fractionalization. Journal of Economic Growth, 8(2), 155–194. https://doi.org/10.1023/A:1024471506938
3.
AndersonG.GeY.LeoT. W. (2010). Distributional overlap: Simple, multivariate, parametric, and nonparametric tests for alienation, convergence, and general distributional difference issues. Econometric Reviews, 29(3), 247–275. https://doi.org/10.1080/07474930903451532
4.
AstakhovaM.DuBoisC. L. Z.HogueM. (2010). A typology of middle managers in modern Russia: An intracultural puzzle. International Journal of Intercultural Relations, 34(5), 527–539. https://doi.org/10.1016/j.ijintrel.2010.01.001
5.
AuK. Y. (1997). Another consequence of culture - Intra-cultural variation. International Journal of Human Resource Management, 8(5), 743–755. https://doi.org/10.1080/095851997341496
6.
AuK. Y. (2000). Intra-cultural variation as another construct of international management: A study based on secondary data of 42 countries. Journal of International Management, 6(3), 217–238. https://doi.org/10.1016/S1075-4253(00)00026-0
7.
AuK. Y.CheungM. W. L. (2004). Intra-cultural variation and job autonomy in 42 countries. Organization Studies, 25(8), 1339–1362. https://doi.org/10.1177/0170840604046345
BeugelsdijkS.AmbosB.NellP. C. (2018). Conceptualizing and measuring distance in international business research: Recurring questions and best practice guidelines. Journal of International Business Studies, 49(9), 1113–1137. https://doi.org/10.1057/s41267-018-0182-4
10.
BeugelsdijkS.KostovaT.RothK. (2017). An overview of Hofstede-inspired country-level culture research in international business since 2006. Journal of International Business Studies, 48(1), 30–47. https://doi.org/10.1057/s41267-016-0038-8
11.
BeugelsdijkS.MaselandR.OnrustM.Van HoornA.SlangenA. (2015). Cultural distance in international business and management: From mean-based to variance-based measures. International Journal of Human Resource Management, 26(2), 165–191. https://doi.org/10.1080/09585192.2014.922355
12.
BeugelsdijkS.SlangenA.MaselandR.OnrustM. (2014). The impact of home-host cultural distance on foreign affiliate sales: The moderating role of cultural variation within host countries. Journal of Business Research, 67(8), 1638–1646. https://doi.org/10.1016/j.jbusres.2013.09.004
13.
BlandM. J.AltmanD. G. (1999). Measuring agreement in method comparison studies. Statistical Methods in Medical Research, 8(2), 135–160. https://doi.org/10.1177/096228029900800204
BridgesA. J.HollerK. A. (2007). How many is enough? Determining optimal sample sizes for normative studies in pediatric neuropsychology. Child Neuropsychology, 13(6), 528–538. https://doi.org/10.1080/09297040701233875
16.
BroderickA. J.GreenleyG. E.MuellerR. D. (2007). The behavioural homogeneity evaluation framework: Multi-level evaluations of consumer involvement in international segmentation. Journal of International Business Studies, 38(5), 746–763. https://doi.org/10.1057/palgrave.jibs.8400296
17.
BrynerD.CriscioneS.LeithA.HuynhQ.HufferF.NerettiN. (2017). GINOM: A statistical framework for assessing interval overlap of multiple genomic features. PLoS Computational Biology, 13(6), 1–16. https://doi.org/10.1371/journal.pcbi.1005586
18.
ClemonsT. E.BradleyE. L. (2000). A nonparametric measure of the overlapping coefficient. Computational Statistics and Data Analysis, 34(1), 51–61. https://doi.org/10.1016/S0167-9473(99)00074-2
19.
CohenJ. (1988). Statistical power analysis for the behavioral science (2nd ed.). Lawrence Erlbaum.
CuypersI. R. P.ErtugG.HeugensP. P. M. A. R.KogutB.ZouT. (2018). The making of a construct: Lessons from 30 years of the Kogut and Singh cultural distance index. Journal of International Business Studies, 49(9), 1138–1153. https://doi.org/10.1057/s41267-018-0181-5
DeutschJ.SilberJ. (1997). Gini’s “transvariazione” and the measurement of distance between distributions. Empirical Economics, 22(4), 547–554. https://doi.org/10.1007/BF01205779
26.
DhakerH.NgomP.IbrahimoufB.MbodjM. (2019). Overlap coefficients based on Kullback-Leibler of two normal densities: Equal means case. Journal of Mathematics Research, 11(2), 114. https://doi.org/10.5539/jmr.v11n2p114
27.
DheerR. J. S.LenartowiczT.PetersonM. F. (2015). Mapping India’s regional subcultures: Implications for international management. Journal of International Business Studies, 46(4), 443–467. https://doi.org/10.1057/jibs.2014.70
28.
DiMaggioP. J.PowellW. W. (1983). The iron cage revisited: Institutional isomorphism and collective rationality in organizational fields. American Sociological Review, 48(2), 147–160. https://doi.org/10.2307/2095101
29.
DorfmanP. W.HouseR. J. (2004). Cultural influences on organizational leadership. In HouseR. J.HangesP. J.JavidanM.DorfmanP. W.GuptaV. (Eds.), Culture, leadership, and organizations. The GLOBE study of 62 societies (pp. 51–73). Sage.
30.
DuboisD.PradeH. (1982). A unifying view of comparison indices in a fuzzy set-theoretic framework. In YagerR. R. (Ed.), Fuzzy set and possibility theory (pp. 3–13). Pergamon Press.
31.
EasterlyW.LevineR. (1997). Africa’s growth tragedy: Policies and ethnic divisions. Quarterly Journal of Economics, 112(4), 1203–1250. https://doi.org/10.1162/003355300555466
32.
ErdfelderE.FaulF.BuchnerA.LangA. G. (2009). Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behavior Research Methods, 41(4), 1149–1160. https://doi.org/10.3758/BRM.41.4.1149
FischerR.SchwartzS. H. (2011). Whence differences in value priorities?: Individual, cultural, or artifactual sources. Journal of Cross-Cultural Psychology, 42(7), 1127–1144. https://doi.org/10.1177/0022022110381429
35.
FischerR.VauclairC. M.FontaineJ. R. J.SchwartzS. H. (2010). Are individual-level and country-level value structures different? Testing Hofstede’s legacy with the Schwartz value survey. Journal of Cross-Cultural Psychology, 41(2), 135–151. https://doi.org/10.1177/0022022109354377
36.
GainesS. O.BarájasL.HicksD.LydeM.TakahashiY.YumN.GarcíaB. F.MarelichW. D.BledsoeK. L.SteersW. N.HendersonM. C.GranroseC. S.RíosD. I.FarrisK. R.PageM. S. (1997). Links between race/ethnicity and cultural values as mediated by racial/ethnic identity and moderated by gender. Journal of Personality and Social Psychology, 72(6), 1460–1476. https://doi.org/10.1037/0022-3514.72.6.1460
GiguèreG. (2006). Collecting and analyzing data in multidimensional scaling experiments: A guide for psychologists using SPSS. Tutorials in Quantitative Methods for Psychology, 2(1), 26–38. https://doi.org/10.20982/tqmp.02.1.p026
40.
GiniC. (1916). Il concetto di transvariazione e le sue prime applicazioni (The concept of transvariation and its first applications). Giornale Degli Economisti e Rivista Di Statistica, 52, 13–43.
41.
GiniC.LivadaG. (1959). Nuovi contributi alla teoria della transvariazione. Memorie de Metodologia Statistica, 12, 254–280.
42.
GoldbergM. K.HayvanovychM.Magdon-IsmailM. (2010). Measuring similarity between sets of overlapping clusters. Second IEEE International Conference on Social Computing (pp. 303–308), Minneapolis, MN.
43.
GregsonR. A. M. (1975). Psychometrics of similarity. Academic Press.
44.
HassanS. S.KaynakE. (1994). The globalizing consumer market: Issues and concepts. In KaynakE.HassanS. S. (Eds.), Globalization of consumer markets: Structures and strategies (pp. 19–25). International Business Press.
HeluA.SamawiH. (2019). On estimation of overlapping measures for exponential populations under progressive first failure censoring. Quality Technology and Quantitative Management, 16(5), 560–574. https://doi.org/10.1080/16843703.2018.1481806
47.
HofstedeG. (1980). Culture’s consequences: International differences in work related values. Sage.
48.
HofstedeG.HofstedeG. J. (2005). Cultures and organizations. Software of the mind (2nd ed.). McGraw-Hill.
49.
HofstedeG.HofstedeG. J.MinkovM. (2010). Cultures and organizations. Software of the mind (3rd ed.). McGraw-Hill.
50.
HofstedeG.McCraeR. R. (2004). Personality and culture revisited: Linking traits and dimensions of culture. Cross-Cultural Research, 38(1), 52–88. https://doi.org/10.1177/1069397103259443
51.
HornH. S. (1966). Measurement of “overlap” in comparative ecological studies. The American Naturalist, 100(914), 419–424. https://doi.org/10.1086/282436
52.
HouseR. J.HangesP. J.JavidanM.DorfmanP. W.GuptaV. (2004). Culture, leadership, and organizations: The GLOBE study of 62 societies. Sage.
53.
HungK. H.GuF. F.YimC. K. (2007). A social institutional approach to identifying generation cohorts in China with a comparison with American consumers. Journal of International Business Studies, 38(5), 836–853. https://doi.org/10.1057/palgrave.jibs.8400288
54.
HurlbertS. H. (1978). The measurement of niche overlap and some relatives. Ecology, 59(1), 67–77. https://doi.org/10.2307/1936632
55.
IchikawaM. (1993). A meaning of the overlapped area under probability density curves of stress and strength. Reliability Engineering and System Safety, 41(2), 203–204. https://doi.org/10.1016/0951-8320(93)90033-U
56.
InglehartR. F.BakerW. E. (2000). Modernization, cultural change, and the persistence of traditional values. American Sociological Review, 65(1), 19–51. https://doi.org/10.2307/2657288
57.
InglehartR. F.HaerpferC.MorenoA.WelzelC.KizilovaK.Diez-MedranoJ.LagosM.NorrisP.PonarinE.PuranenB. (2014). World values survey: All rounds - Country-pooled datafile version. JD Systems Institute. http://www.worldvaluessurvey.org/WVSContents.jsp?CMSID=DataDoc
58.
JavidanM.HouseR. J.DorfmanP. W.HangesP. J.De LuqueM. S. (2006). Conceptualizing and measuring cultures and their consequences: A comparative review of GLOBE’s and Hofstede’s approaches. Journal of International Business Studies, 37(6), 897–914. https://doi.org/10.1057/palgrave.jibs.8400234
59.
JeffreysH. (1946). An invariant form for the prior probability in estimation problems. Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences, 186(1007), 453–461. https://doi.org/10.1098/rspa.1946.0056
60.
JohnsonD. H.SinanovićS. (2001). Symmetrizing the Kullback-Leibler distance. IEEE Transactions on Information Theory, 1(1), 1–8. https://doi.org/10.1.1.26.2327
61.
JonsenK. (2018). Beyond nation-state thinking and other stubborn facts in cross-cultural research. International Studies of Management and Organization, 48(3), 277–293. https://doi.org/10.1080/00208825.2018.1480870
62.
KagitcibasiC.AtacaB.DiriA. (2010). Intergenerational relationships in the family: Ethnic, socioeconomic, and country variations in Germany, Israel, Palestine, and Turkey. Journal of Cross-Cultural Psychology, 41(5), 652–670. https://doi.org/10.1177/0022022110372193
63.
KandoganY. (2012). An improvement to Kogut and Singh measure of cultural distance considering the relationship among different dimensions of culture. Research in International Business and Finance, 26(2), 196–203. https://doi.org/10.1016/j.ribaf.2011.11.001
KirkmanB. L.LoweK. B.GibsonC. B. (2006). A quarter century of culture’s consequences: A review of empirical research incorporating Hofstede’s cultural values framework. Journal of International Business Studies, 37(3), 285–320. https://doi.org/10.1057/palgrave.jibs.8400202
66.
KirkmanB. L.LoweK. B.GibsonC. B. (2017). A retrospective on culture’s consequences: The 35-year journey. Journal of International Business Studies, 48(1), 12–29. https://doi.org/10.1057/s41267-016-0037-9
67.
KogutB.SinghH. (1988). The effect of national culture on the choice of entry mode. Journal of International Business Studies, 19(3), 411–432. https://doi.org/10.1057/palgrave.jibs.8490394
LenartowiczT.JohnsonJ. P.WhiteC. T. (2003). The neglect of intracountry cultural variation in international management research. Journal of Business Research, 56(12), 999–1008. https://doi.org/10.1016/S0148-2963(01)00314-9
71.
LinL. I.-K. (1989). A concordance correlation coefficient to evaluate reproducibility. Biometrics, 45(1), 255–268. https://doi.org/10.2307/2532051
72.
MadduxN. R.DanielsA. L.RandolphT. W. (2017). Microflow imaging analyses reflect mechanisms of aggregate formation: Comparing protein particle data sets using the Kullback–Leibler divergence. Journal of Pharmaceutical Sciences, 106(5), 1239–1248. https://doi.org/10.1016/j.xphs.2017.01.030
73.
MahalanobisP. C.BoseR. C.RoyS. N. (1937). Normalisation of statistical variates and the use of rectangular coordinates in the theory of sampling distributions. Sankhyā: The Indian Journal of Statistics, 3(1), 1–40.
74.
Maseland. (2017). Institutional overlap as basis for international business. In A.VerbekeJ.PuckR.van Tulder (Eds.), Distance in international business: Concept, cost and value (progress in international business research) (Vol. 12, pp. 69–90). Emerald Publishing Limited.
McBrideG. B. (2005). A proposal for strength-of-agreement criteria for Lin’s concordance correlation coefficient. NIWA Client Report: HAM2005-062. Report to Ministry of Health. https://www.medcalc.org/download/pdf/McBride2005.pdf
MessnerW. (2016). The misconstruction of Hofstede’s uncertainty avoidance dimension: The fallacy of ecological operation without construct validity at the individual level. Journal of Global Marketing, 29(5), 298–313. https://doi.org/10.1080/08911762.2016.1203470
80.
MessnerW.SchäferN. (2015). Methodological issues in group-referenced measurement of Indian culture. South Asian Journal of Global Business Research, 4(2), 226–250. https://doi.org/10.1108/SAJGBR-12-2014-0089
81.
MeyerK. E.Van WitteloostuijnA.BeugelsdijkS. (2017). What’s in a p? Reassessing best practices for conducting and reporting hypothesis-testing research. Journal of International Business Studies, 48(5), 535–551. https://doi.org/10.1057/s41267-017-0078-8
82.
MilanovicB.YitzhakiS. (2002). Decomposing world income distribution: Does the world have a middle class?Review of Income and Wealth, 48(2), 155–178. https://doi.org/10.1111/1475-4991.00046
83.
MillJ. (1929). Analysis of the phenomena of the human mind (Vol. II). Baldwin and Cradock.
MorisitaM. (1959). Measuring of interspecific association and similarity between communities. In Memoirs of the faculty of science, series E (Biology) (Vol. 3, Issue 1, pp. 65–80). Kyushu University.
87.
MuthukrishnaM.BellA. V.HenrichJ.CurtinC. M.GedranovichA.McInerneyJ.ThueB. (2020). Beyond Western, Educated, Industrial, Rich, and Democratic (WEIRD) psychology: Measuring and mapping scales of cultural and psychological distance. Psychological Science, 31(6), 678–701. https://doi.org/10.1177/0956797620916782
88.
NgV.WooS. E.TayL.FosterJ. (2016). Examining variability in values attributed to culture: Using personality as a relative benchmark. Journal of Cross-Cultural Psychology, 47(7), 981–996. https://doi.org/10.1177/0022022116651333
OysermanD.CoonH. M.KemmelmeierM. (2002). Rethinking individualism and collectivism: Evaluation of theoretical assumptions and meta-analyses. Psychological Bulletin, 128(1), 3–72. https://doi.org/10.1037/0033-2909.128.1.3
92.
PastoreM. (2018). Overlapping: A R package for estimating overlapping in empirical distributions. Journal of Open Source Software, 3(32), 1023. https://doi.org/10.21105/joss.01023
93.
PastoreM.CalcagnìA. (2019). Measuring distribution similarities between samples: A distribution-free overlapping index. Frontiers in Psychology, 10, 1089. https://doi.org/10.3389/fpsyg.2019.01089
94.
PetersonM. F.BarretoT. S. (2018). Interpreting societal culture value dimensions. Journal of International Business Studies, 49(9), 1190–1207. https://doi.org/10.1057/s41267-018-0185-1
RothM. S. (1995). The effects of culture and socioeconomics on the performance of global brand image strategies. Journal of Marketing Research, 32(2), 163. https://doi.org/10.2307/3152045
98.
SalkindN. J.RasmussenK. (Eds.). (2007). Encyclopedia of measurement and statistics. Sage.
99.
SanrıÇ.GoodwinR. (2013). Values and love styles in Turkey and Great Britain: An intercultural and intracultural comparison. International Journal of Psychology, 48(5), 837–845. https://doi.org/10.1080/00207594.2012.712697
100.
SchmidF.SchmidtA. (2006). Nonparametric estimation of the coefficient of overlapping - Theory and empirical application. Computational Statistics and Data Analysis, 50(6), 1583–1596. https://doi.org/10.1016/j.csda.2005.01.014
101.
SchwartzS. H. (1994). Beyond individualism-collectivism: New cultural dimensions of values. In KimU.TriandisH. C.KagitcibasiC.ChoiS. C.YoonG. (Eds.), Individualism and collectivism: Theory, method and applications (pp. 85–119). Sage.
SchwartzS. H. (2014). Rethinking the concept and measurement of societal culture in light of empirical findings. Journal of Cross-Cultural Psychology, 45(1), 5–13. https://doi.org/10.1177/0022022113490830
ScottW. R. (1987). The adolescence of institutional theory. Administrative Science Quarterly, 32(4), 493–511.
106.
SharmaP. (2010). Measuring personal cultural orientations: Scale development and validation. Journal of the Academy of Marketing Science, 38(6), 787–806. https://doi.org/10.1007/s11747-009-0184-7
107.
ShenkarO. (2001). Cultural distance revisited: Towards a more rigorous conceptualization and measurement of cultural differences. Journal of International Business Studies, 32(3), 519–535. https://doi.org/10.2307/3069495
108.
SirsiA. K.WardJ. C.ReingenP. H. (1996). Microcultural analysis of variation in sharing of causal reasoning about behavior. Journal of Consumer Research, 22(4), 345. https://doi.org/10.1086/209455
109.
SneathP. H. A.SokalR. R. (1973). Numerical taxonomy. Freeman and Company.
110.
SpectorP. E.CooperC. L.SparksK. (2001). An international study of the psychometric properties of the Hofstede values survey module 1994: A comparison of individual and country/province level results. Applied Psychology, 50(2), 269–281. https://doi.org/10.1111/1464-0597.00058
111.
TarasV.RowneyJ.SteelP. (2009). Half a century of measuring culture: Review of approaches, challenges, and limitations based on the analysis of 121 instruments for quantifying culture. Journal of International Management, 15(4), 357–373. https://doi.org/10.1016/j.intman.2008.08.005
112.
TheodoridisS. (2015). Machine learning. A Bayesian and optimization perspective. Academic Press.
113.
TihanyiL.GriffithD. A.RussellC. J. (2005). The effect of cultural distance on entry mode choice, international diversification, and MNE performance: A meta-analysis. Journal of International Business Studies, 36(3), 270–283. https://doi.org/10.1057/palgrave.jibs.8400136
TungR. L.VerbekeA. (2010). Beyond Hofstede and GLOBE: Improving the quality of cross-cultural research. Journal of International Business Studies, 41(8), 1259–1274. https://doi.org/10.1057/jibs.2010.41
116.
TverskyA.ItamarG. (2004). Studies of similarity. In ShafirE. (Ed.), Preference, belief, and similarity: Selected writings by Amos Tversky (pp. 75–95). MIT Press.
117.
van HoornA. (2019). Generational shifts in managerial values and the coming of a unified business culture: A cross-national analysis using European Social Survey data. Journal of Business Ethics, 155(2), 547–566. https://doi.org/10.1007/s10551-017-3488-4
118.
ViolaP.WellsW. M.III. (1997). Alignment by maximization of mutual information. International Journal of Computer Vision, 24(2), 137–154. https://doi.org/10.1109/ICCV.1995.466930
119.
WangC. P.JoB. (2013). Applications of a Kullback-Leibler divergence for comparing non-nested models. Statistical Modelling, 13(5–6), 409–429. https://doi.org/10.1177/1471082X13494610
120.
WeitzmanM. S. (1970). Measures of overlap of income distrubtion of White and Negro families in the United States (Vol. 22). Bureau of the Census, U.S. Government Printing Office.
121.
WimmerA. (2008). The making and unmaking of ethnic boundaries: A multilevel process theory. American Journal of Sociology, 113(4), 970–1022. https://doi.org/10.1086/522803
122.
YeganehH. (2014). A weighted, Mahalanobian, and asymmetrical approach to calculating national cultural distance. Journal of International Management, 20(4), 436–463. https://doi.org/10.1016/j.intman.2014.06.001
123.
ZaheerS.SchomakerM. S.NachumL. (2012). Distance without direction: Restoring credibility to a much-loved construct. Journal of International Business Studies, 43(1), 18–27. https://doi.org/10.1057/jibs.2011.43
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