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Research Article

StepsBooster-S: A Culturally Tailored Step-Based Persuasive Application for Promoting Physical Activity

ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Received 12 Aug 2023, Accepted 13 Mar 2024, Published online: 09 Apr 2024

References

  • Abroms, L. C., Padmanabhan, N., Thaweethai, L., & Phillips, T. (2011). iPhone apps for smoking cessation: A content analysis. American Journal of Preventive Medicine, 40(3), 279–285. https://doi.org/10.1016/j.amepre.2010.10.032
  • Aldenaini, N., Alslaity, A., Sampalli, S., & Orji, R. (2022). Persuasive strategies and their implementations in mobile interventions for physical activity: A systematic review. International Journal of Human–Computer Interaction, 39(12), 2292–2338. https://doi.org/10.1080/10447318.2022.2075573
  • Almutari, N., & Orji, R. (2019). How effective are social influence strategies in persuasive apps for promoting physical activity? A systematic review [Paper presentation]. ACM UMAP 2019 Adjunct – Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization, June, 167–172. https://doi.org/10.1145/3314183.3323855
  • Almutari, N., Orji, R., & Alslaity, A. (2022). Persuasive determinants of physical activity in adults: Cultural differences and the moderating effect of gender and age. SSRN Electronic Journal, 1–21. https://doi.org/10.2139/ssrn.4009376
  • Bauman, A., Ainsworth, B. E., Sallis, J. F., Hagströmer, M., Craig, C. L., Bull, F. C., Pratt, M., Venugopal, K., Chau, J., & Sjöström, M, IPS Group. (2011). The descriptive epidemiology of sitting: A 20-country comparison using the international physical activity questionnaire (IPAQ). American Journal of Preventive Medicine, 41(2), 228–235. https://doi.org/10.1016/j.amepre.2011.05.003
  • Boakye, K., Bovbjerg, M., Schuna, J., Jr, Branscum, A., Varma, R. P., Ismail, R., Barbarash, O., Dominguez, J., Altuntas, Y., Anjana, R. M., Yusuf, R., Kelishadi, R., Lopez-Jaramillo, P., Iqbal, R., Serón, P., Rosengren, A., Poirier, P., Lakshmi, P. V. M., Khatib, R., Zatonska, K., Hu, B., … Hystad, P. (2023). Urbanization and physical activity in the global prospective urban and rural epidemiology study. Scientific Reports, 13(1), 1–11. https://doi.org/10.1038/s41598-022-26406-5
  • Böheim, R., Grübl, D., & Lackner, M. (2017). Gender differences in competitiveness. In CESifo DICE Report, 15(2), 13–17. https://doi.org/10.15185/izawol.236
  • Bond, D. S., Thomas, J. G., Raynor, H. A., Moon, J., Sieling, J., Trautvetter, J., Leblond, T., & Wing, R. R. (2014). B-MOBILE – A smartphone-based intervention to reduce sedentary time in overweight/obese individuals: A within-subjects experimental trial. PloS One, 9(6), e100821. https://doi.org/10.1371/journal.pone.0100821
  • Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
  • Busch, M., Mattheiss, E., Hochleitner, W., Hochleitner, C., Lankes, M., Fröhlich, P., Orji, R., & Tscheligi, M. (2016). Using player type models for personalized game design – An empirical investigation. Interaction Design and Architecture(s), 28, 145–163. https://doi.org/10.55612/s-5002-028-008
  • Cashdan, E. (1998). Are men more competitive than women? British Journal of Social Psychology, 37 (Pt 2)(2), 213–229. https://doi.org/10.1111/j.2044-8309.1998.tb01166.x
  • Chaabane, S., Chaabna, K., Doraiswamy, S., Mamtani, R., & Cheema, S. (2021). Barriers and facilitators associated with physical activity in the middle east and north Africa region: A systematic overview. International Journal of Environmental Research and Public Health, 18(4), 1647. https://doi.org/10.3390/ijerph18041647
  • Chan, G., Alslaity, A., Reen, J. K., Anukem, S., & Orji, R. (2023). GardenQuest: Using Hexad player types to design a step-based multiplayer persuasive game for motivating physical activity. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13832, 337–356. https://doi.org/10.1007/978-3-031-30933-5_22
  • Ciman, M., Donini, M., Gaggi, O., & Aiolli, F. (2016). Stairstep recognition and counting in a serious game for increasing users’ physical activity. Personal and Ubiquitous Computing, 20(6), 1015–1033. https://doi.org/10.1007/s00779-016-0968-y
  • Conroy, D. E., Yang, C. H., & Maher, J. P. (2014). Behavior change techniques in top-ranked mobile apps for physical activity. American Journal of Preventive Medicine, 46(6), 649–652. https://doi.org/10.1016/j.amepre.2014.01.010
  • Direito, A., Jiang, Y., Whittaker, R., & Maddison, R. (2015). Smartphone apps to improve fitness and increase physical activity among young people: Protocol of the Apps for IMproving FITness (AIMFIT) randomized controlled trial. BMC Public Health, 15(1), 635. https://doi.org/10.1186/s12889-015-1968-y
  • Fogg, B. J. (2002). Persuasive technology. Ubiquity, 2002(December), 2. https://doi.org/10.1145/764008.763957
  • Ganesh, A., Ndulue, C., & Orji, R. (2023). Tailoring a persuasive game to promote secure smartphone behaviour [Paper presentation]. Conference on Human Factors in Computing Systems – Proceedings. https://doi.org/10.1145/3544548.3581038
  • Geuens, J., Geurts, L., Gerling, K., Croon, R. D., & Abeele, V. V. (2019). A dyad of lenses for the motivational design of mHealth: Bridging the gap between health theory and app design [Paper presentation]. IEEE International Conference on Healthcare Informatics, ICHI 2019 (pp. 1–12). https://doi.org/10.1109/ICHI.2019.8904839
  • Glanz, K., & Rimer, B. K. (2005). Theory at a glance: A guide for health promotion practice. U.S. Department of Health and Human Services, National Institutes of Health. https://doi.org/10.1128/MCB.25.21.9532
  • Green, C. A., Duan, N., Gibbons, R. D., Hoagwood, K. E., Palinkas, L. A., & Wisdom, J. P. (2015). Approaches to mixed methods dissemination and implementation research: Methods, strengths, caveats, and opportunities. Administration and Policy in Mental Health, 42(5), 508–523. https://doi.org/10.1007/s10488-014-0552-6
  • Gristwood, J. (2011). Applying the health belief model to physical activity engagement among older adults applying the health belief model to physical activity engagement among older adults. Illuminare: A Student Journal in Recreaction, Parks Ad Leisure Studies, 9(1), 59–71. https://scholarworks.iu.edu/journals/index.php/illuminare/article/view/1035
  • Guest, G., MacQueen, K., & Namey, E. (2014). Introduction to applied thematic analysis. In Applied Thematic Analysis, 3–20. https://doi.org/10.4135/9781483384436.n1
  • Häkkilä, J., Wiberg, M., Eira, N. J., Seppänen, T., Juuso, I., Mäkikalli, M., & Wolf, K. (2020). Design sensibilities – Designing for cultural sensitivity [Paper presentation]. ACM International Conference Proceeding Series. https://doi.org/10.1145/3419249.3420100
  • Harries, T., Eslambolchilar, P., Stride, C., Rettie, R., & Walton, S. (2013). Walking in the Wild – Using an Always-On Smartphone Application to Increase Physical Activity. In P. Kotzé, G. Marsden, G. Lindgaard, J. Wesson, M. Winckler (eds) Human-Computer Interaction – INTERACT 2013. INTERACT 2013. Lecture Notes in Computer Science, vol 8120. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40498-6_2
  • Hofstede, G. (2011). Dimensionalizing cultures: The Hofstede model in context. Online Readings in Psychology and Culture, 2(1). https://doi.org/10.9707/2307-0919.1014
  • Hofstede, G., Usunier, J.-C. (2003). Hofstede’s dimensions of culture and their influence on international business negotiations. International Business Negotiations, 137–153. http://aryacollegeludhiana.in/E_BOOK/commerce/INTERNATIONAL_BUSINESS.pdf#page=160%0Ahttps://scholar.google.de/scholar?hl=de&q=Geert+Hofstede+and+Jean-Claude+Usunier&btnG=&lr=
  • Hoseini, H., Maleki, F., Moeini, M., & Sharifirad, G. R. (2014). Investigating the effect of an education plan based on the health belief model on the physical activity of women who are at risk for hypertension. Iranian Journal of Nursing and Midwifery Research, 19(6), 647–652.
  • Ivaz, L., Costa, A., & Duñabeitia, J. A. (2016). The emotional impact of being myself: Emotions and foreign-language processing. Journal of Experimental Psychology. Learning, Memory, and Cognition, 42(3), 489–496. https://doi.org/10.1037/xlm0000179
  • Jalilian, F., Matin, A. K., Mahboubi, M., Rahimi, S., Fazel, Z., Juibari, T. A., & Khashij, S. (2016). Predicting factors related to regular physical activity among Iranian medical college student: An application of Health Belief Model. Social Sciences (Pakistan), 11(15), 3688–3691. https://doi.org/10.3923/sscience.2016.3688.3691
  • Johnson, J. L., Slentz, C. A., Houmard, J. A., Samsa, G. P., Duscha, B. D., Aiken, L. B., McCartney, J. S., Tanner, C. J., & Kraus, W. E. (2007). Exercise training amount and intensity effects on metabolic syndrome (from studies of a targeted risk reduction intervention through defined exercise). American Journal of Cardiology, 100(12), 1759–1766. https://doi.org/10.1016/j.amjcard.2007.07.027
  • Jung, T., Tom Dieck, M. C., Lee, H., & Chung, N. (2020). Moderating role of long-term orientation on augmented reality adoption. International Journal of Human–Computer Interaction, 36(3), 239–250. https://doi.org/10.1080/10447318.2019.1630933
  • King, K. A., Vidourek, R. A., English, L., & Merianos, A. L. (2014). Vigorous physical activity among college students: Using the health belief model to assess involvement and social support. Archives of Exercise in Health and Disease, 4(2), 267–279. https://doi.org/10.5628/aehd.v4i2.153
  • Krath, J., & Von Korflesch, H. F. O. (2021). Designing gamification and persuasive systems: A systematic literature review. CEUR Workshop Proceedings, 2883, 100–109. https://jeaninekrath.com/wp-content/uploads/2021/08/Designing-gamification-and-persuasive-systems-a-systematic-literature-review.pdf
  • Lau, P. W. C., Cheung, M. W. L., & Ransdell, L. (2007). Sport identity and sport participation: A cultural comparison between Collective and Individualistic Societies. International Journal of Sport and Exercise Psychology, 5(1), 66–81. https://doi.org/10.1080/1612197X.2008.9671813
  • Lee, I. M., Shiroma, E. J., Lobelo, F., Puska, P., Blair, S. N., Katzmarzyk, P. T., Alkandari, J. R., Andersen, L. B., Bauman, A. E., Brownson, R. C., Bull, F. C., Craig, C. L., Ekelund, U., Goenka, S., Guthold, R., Hallal, P. C., Haskell, W. L., Heath, G. W., Inoue, S., … Wells, J. C. (2012). Effect of physical inactivity on major non-communicable diseases worldwide: An analysis of burden of disease and life expectancy. Lancet, 380(9838), 219–229. https://doi.org/10.1016/S0140-6736(12)61031-9
  • Leonard, T. (2008). Richard H. Thaler, Cass R. Sunstein, Nudge: Improving decisions about health, wealth, and happiness: Yale University Press, New Haven, CT, 2008, 293 pp, $26.00. Constitutional Political Economy, 19(4), 356–360. https://doi.org/10.1007/s10602-008-9056-2
  • Lin, J. J., Mamykina, L., Lindtner, S., Delajoux, G., & Strub, H. B. (2006). Fish’n’Steps: Encouraging physical activity with an interactive computer game [Paper presentation]. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4206 LNCS, 261–278.
  • Liu, Q., & Luo, M. (2023). Cross-cultural examination of music sharing intentions on social media: A comparative study in China and the United States. International Journal of Human–Computer Interaction, 39(6), 1303–1313. https://doi.org/10.1080/10447318.2022.2062838
  • Luo, Y., Lee, B., Yvettewohn, D., Rebar, A. L., Conroy, D. E., & Choe, E. K. (2018). Time for break: Understanding information workers’ sedentary behavior through a break prompting system [Paper presentation]. Conference on Human Factors in Computing Systems – Proceedings. https://doi.org/10.1145/3173574.3173701
  • Matthews, J., Win, K. T., Oinas-Kukkonen, H., & Freeman, M. (2016). Persuasive technology in mobile applications promoting physical activity: A systematic review. Journal of Medical Systems, 40(3), 72. https://doi.org/10.1007/s10916-015-0425-x
  • Michie, S., & Prestwich, A. (2010). Are interventions theory-based? Development of a theory coding scheme. Health Psychology: Official Journal of the Division of Health Psychology, American Psychological Association, 29(1), 1–8. https://doi.org/10.1037/a0016939
  • Michie, S., Johnston, M., Francis, J., Hardeman, W., & Eccles, M. (2008). From theory to intervention: Mapping theoretically derived behavioural determinants to behaviour change techniques. Applied Psychology, 57(4), 660–680. https://doi.org/10.1111/j.1464-0597.2008.00341.x
  • Moon, H.-C., & Choi, E.-K. (2001). Cultural impact on national competitiveness. Journal of International and Area Studies, 21(2), 21–36. https://www.jstor.org/stable/43111439
  • Morio, C., Nicol, C., Barla, C., Barthèlemy, J., & Berton, E. (2012). Acute and 2 days delayed effects of exhaustive stretch-shortening cycle exercise on barefoot walking and running patterns. European Journal of Applied Physiology, 112(8), 2817–2827. https://doi.org/10.1007/s00421-011-2242-3
  • Munson, S. A., & Consolvo, S. (2012). Exploring goal-setting, rewards, self-monitoring, and sharing to motivate physical activity [Paper presentation]. 2012 6th International Conference on Pervasive Computing Technologies for Healthcare and Workshops, PervasiveHealth 2012. https://doi.org/10.4108/icst.pervasivehealth.2012.248691
  • Naeem, Z. (2014). Health risks associated with mobile phones use. International Journal of Health Sciences, 8(4), v–vi. https://doi.org/10.12816/0023989
  • Ndulue, C., & Orji, R. (2021). Gender and the effectiveness of a persuasive game for disease awareness targeted at the African audience [Paper presentation]. UMAP 2021 – Adjunct Publication of the 29th ACM Conference on User Modeling, Adaptation and Personalization, 318–324. https://doi.org/10.1145/3450614.3464625
  • Ng, S. W., Norton, E. C., & Popkin, B. M. (2009). Why have physical activity levels declined among Chinese adults? Findings from the 1991-2006 China health and nutrition surveys. Social Science & Medicine (1982), 68(7), 1305–1314. https://doi.org/10.1016/j.socscimed.2009.01.035
  • Nowell, L. S., Norris, J. M., White, D. E., & Moules, N. J. (2017). Thematic analysis: Striving to meet the trustworthiness criteria. International Journal of Qualitative Methods, 16(1), 160940691773384. https://doi.org/10.1177/1609406917733847
  • Oinas-Kukkonen, H., & Harjumaa, M. (2009). Persuasive systems design: Key issues, process model, and system features. Communications of the Association for Information Systems, 24(1), 485–500. http://aisel.aisnet.org/cais/vol24/iss1/28 https://doi.org/10.17705/1CAIS.02428
  • Orji, R. (2017). Why are persuasive strategies effective? Exploring the strengths and weaknesssses of socially-oriented persuasive strategies. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10171, 253–266. https://doi.org/10.1007/978-3-319-55134-0_20
  • Orji, R. O. (2014). Design for behaviour change: A model-driven approach for tailoring persuasive technologies. University of Saskatchewan. https://api.semanticscholar.org/CorpusID:142551550
  • Orji, R., & Mandryk, R. L. (2014). Developing culturally relevant design guidelines for encouraging healthy eating behavior. International Journal of Human-Computer Studies, 72(2), 207–223. https://doi.org/10.1016/j.ijhcs.2013.08.012
  • Orji, R., & Moffatt, K. (2018). Persuasive technology for health and wellness: State-of-the-art and emerging trends. Health Informatics Journal, 24(1), 66–91. https://doi.org/10.1177/1460458216650979
  • Orji, R., Mandryk, R. L., Vassileva, J., & Gerling, K. M. (2013). Tailoring persuasive health games to gamer type [Paper presentation]. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems – CHI’13, 2467. https://doi.org/10.1145/2470654.2481341
  • Orji, R., Nacke, L. E., & Di Marco, C. (2017). Towards personality-driven persuasive health games and gamified systems. 1015–1027. https://doi.org/10.1145/3025453.3025577
  • Orji, R., Oyibo, K., Lomotey, R. K., & Orji, F. A. (2018). Socially-driven persuasive health intervention design: Competition, social comparison, and cooperation. Health Informatics Journal, 25(4), 1451–1484. https://doi.org/10.1177/1460458218766570
  • Orji, R., Tondello, G. F., & Nacke, L. E. (2018). Personalizing persuasive strategies in gameful systems to gamification user types [Paper presentation]. Conference on Human Factors in Computing Systems – Proceedings. https://doi.org/10.1145/3173574.3174009
  • Orji, R., Vassileva, J., & Mandryk, R. (2012). Towards an effective health interventions design: An extension of the health belief model. Online Journal of Public Health Informatics, 4(3), 1–31. https://doi.org/10.5210/ojphi.v4i3.4321
  • Oyebode, O., Ganesh, A., & Orji, R. (2021). TreeCare: Development and evaluation of a persuasive mobile game for promoting physical activity [Paper presentation]. IEEE Conference on Computatonal Intelligence and Games, CIG, 2021-Augus. https://doi.org/10.1109/CoG52621.2021.9619035
  • Oyibo, K., & Vassileva, J. (2020). HOMEX: Persuasive technology acceptance model and the moderating effect of culture. Frontiers in Computer Science, 2, 1–17. https://doi.org/10.3389/fcomp.2020.00010
  • Padmasekara, G. (2014). Fitness apps, a valid alternative to the gym: A pilot study. Journal of Mobile Technology in Medicine, 3(1), 37–45. https://doi.org/10.7309/jmtm.3.1.6
  • Pikhart, M. (2021). Digital communication and the digital divide: Cultural aspects of human-computer interactions. In J. S. Raj (Eds.), International Conference on Mobile Computing and Sustainable Informatics. ICMCSI 2020. EAI/Springer Innovations in Communication and Computing. Springer. https://doi.org/10.1007/978-3-030-49795-8_16
  • Prochaska, J. O., DiClemente, C. C., & Norcross, J. C. (1992). In search of how people change: Applications to addictive behaviors. American Psychologist, 47(9), 1102–1114. https://doi.org/10.1037//0003-066x.47.9.1102
  • Proto.io – Prototypes that feel real. (n.d.).
  • Romeo, A., Edney, S., Plotnikoff, R., Curtis, R., Ryan, J., Sanders, I., Crozier, A., & Maher, C. (2019). Can smartphone apps increase physical activity? Systematic review and meta-analysis. Journal of Medical Internet Research, 21(3), e12053. https://doi.org/10.2196/12053
  • Rosenstock, I. M. (1966). Why people use health services. Milbank Memorial Fund Quarterly, 44(3), Suppl:94–Suppl127. https://doi.org/10.2307/3348967
  • Rosser, B. A., & Eccleston, C. (2011). Smartphone applications for pain management. In Journal of Telemedicine and Telecare, 17(6), 308–312. https://doi.org/10.1258/jtt.2011.101102
  • Roy, D. (2020). Formulation of Hofstede’s Global Cultural Dimension Index (HGCDI): A cross-country study. Journal of Transnational Management, 25(3), 195–224. https://doi.org/10.1080/15475778.2020.1765715
  • Schoeppe, S., Alley, S., Rebar, A. L., Hayman, M., Bray, N. A., Van Lippevelde, W., Gnam, J. P., Bachert, P., Direito, A., & Vandelanotte, C. (2017). Apps to improve diet, physical activity and sedentary behaviour in children and adolescents: A review of quality, features and behaviour change techniques. International Journal of Behavioral Nutrition and Physical Activity, 14(1), 1–10. https://doi.org/10.1186/s12966-017-0538-3
  • Schmitt, D. P., Allik, J., McCrae, R. R., & Benet-Martínez, V. (2007). The geographic distribution of big five personality traits: Patterns and profiles of human self-description across 56 nations. Journal of Cross-Cultural Psychology, 38(2), 173–212. https://doi.org/10.1177/0022022106297299
  • Sharara, E., Akik, C., Ghattas, H., & Makhlouf Obermeyer, C. (2018). Physical inactivity, gender and culture in Arab countries: A systematic assessment of the literature. BMC Public Health, 18(1), 1–19. https://doi.org/10.1186/s12889-018-5472-z
  • Takahashi, M., Kawasaki, H., Maeda, A., & Nakamura, M. (2016). Mobile walking game and group-walking program to enhance going out for older adults [Paper presentation]. UbiComp '16: The 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 1372–1380). https://doi.org/10.1145/2968219.2968415
  • Tondello, G. F., Wehbe, R. R., Diamond, L., Busch, M., Marczewski, A., & Nacke, L. E. (2016). The gamification user types Hexad scale [Paper presentation]. CHI PLAY '16: Proceedings of the 2016 Annual Symposium on Computer-Human Interaction in Play (pp. 229–243). https://doi.org/10.1145/2967934.2968082
  • Toscos, T., Faber, A., An, S., & Gandhi, M. P. (2006). Chick clique: Persuasive technology to motivate teenage girls to exercise. BT – In CHI ’06 Extended Abstracts on, Human Factors in Computing Systems (CHI EA ’06).
  • Triandis, H. C., & Hofstede, G. (1993). Cultures and organizations: Software of the mind. Administrative Science Quarterly, 38(1), 132. https://doi.org/10.2307/2393257
  • Van Dantzig, S., Geleijnse, G., & Van Halteren, A. T. (2013). Toward a persuasive mobile application to reduce sedentary behavior. Personal and Ubiquitous Computing, 17(6), 1237–1246. https://doi.org/10.1007/s00779-012-0588-0
  • van Velsen, L., Broekhuis, M., Jansen-Kosterink, S., & Akker, H. O. D. (2019). Tailoring persuasive electronic health strategies for older adults on the basis of personal motivation: Web-based survey study. Journal of Medical Internet Research, 21(9), 11759. https://doi.org/10.2196/11759
  • Wang, Y., Fadhil, A., Lange, J. P., & Reiterer, H. (2019). Integrating taxonomies into theory-based digital health interventions for behavior change: A holistic framework. JMIR Research Protocols, 8(1), e8055. https://doi.org/10.2196/resprot.8055
  • Wen, T., & Guo, Y. (2023). Combining game user types and health beliefs to explore the persuasiveness of gamification strategies for fitness systems. Communications in Computer and Information Science, 1833, 199–209. https://doi.org/10.1007/978-3-031-35992-7_28
  • Wilkowska, W., Offermann-van Heek, J., Florez-Revuelta, F., & Ziefle, M. (2021). Video cameras for lifelogging at home: Preferred visualization modes, acceptance, and privacy perceptions among German and Turkish participants. International Journal of Human–Computer Interaction, 37(15), 1436–1454. https://doi.org/10.1080/10447318.2021.1888487
  • Wilmot, E. G., Edwardson, C. L., Achana, F. A., Davies, M. J., Gorely, T., Gray, L. J., Khunti, K., Yates, T., & Biddle, S. J. H. (2012). Sedentary time in adults and the association with diabetes, cardiovascular disease and death: Systematic review and meta-analysis. Diabetologia, 55(11), 2895–2905. https://doi.org/10.1007/s00125-012-2677-z
  • World Health Organization. (210 C.E.). Global recommendations on physical activity for health.
  • Yoo, B., Donthu, N., & Lenartowicz, T. (2011). Measuring Hofstede’s five dimensions of cultural values at the individual level: Development and validation of CVSCALE. Journal of International Consumer Marketing, 23(3–4), 193–210. https://doi.org/10.1080/08961530.2011.578059

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