Engagement of Ethnic-Minority Consumers with Electronic Word of Mouth (eWOM) on Social Media: The Pivotal Role of Intercultural Factors
Abstract
:1. Introduction
2. Literature Review and Theoretical Framework
2.1. Engagement with eWOM on Social Media
2.2. Theory of Planned Behavior
2.3. Theoretical Perspectives in Intercultural Research
2.4. Cross-Cultural Factors
2.4.1. Acculturation of Minority Consumers
2.4.2. DC Language Proficiency
2.4.3. Social Interaction
2.4.4. Cultural Distance
3. Methodology
3.1. Sample
3.2. Measurement
4. Results
4.1. Validity and Reliability
4.2. Common Method Bias
4.3. Empirical Findings
4.4. Hypothesis Testing
5. Discussion
5.1. Theoretical Contributions
5.2. Managerial and Practical Implications
5.3. Limitations and Future Research
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
Abbreviation | Details |
AVE | Average Variance Extracted |
AVIF | Average Variance Inflation Factor |
CMB | Common Method Bias |
CR | Composite Reliability |
DC | Dominant Culture |
EFA | Exploratory Factor Analysis |
WOM | Electronic Word of Mouth |
HTMT | Hetero Trait—Mono Trait |
ITR | Intention to Receive |
ITS | Intention to Send |
MC | Minority Culture |
NFI | Normed Fit Index |
PBC | Perceived Behavioral Control |
PLS | Partial Least Squares |
SEM | Structural Equation Modelling |
SNS | Social Network Sites |
SRMR | Standardized Root Mean Square Residual |
Q2 | Stone-Geisser’s Q2 |
TPB | Theory of Planned Behavior |
VIF | Variance Inflation Factor |
References
- Martinez, O.; Wu, E.; Shultz, A.Z.; Capote, J.; Rios, J.L.; Sandfort, T.; Manusov, J.; Ovejero, H.; Carballo-Dieguez, A.; Baray, S.C. Still a hard-to-reach population? using social media to recruit latino gay couples for an HIV intervention adaptation study. J. Med. Internet Res. 2014, 16, e113. [Google Scholar] [CrossRef]
- Migration and Migrant Population Statistics: c2018. Available online: https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Migration_and_migrant_population_statistics#Migration_flows:_2_million_non-EU_immigrants (accessed on 10 October 2018).
- P&G Leads “The Talk” about Bias on Tonight’s Episode of ABC’s Black-Ish. Available online: https://news.pg.com/press-release/pg-corporate-announcements/pg-leads-talk-about-bias-tonights-episode-abcs-black-ish (accessed on 2 October 2018).
- Which Side of History Is Your Brand On? P&G’s Marc Pritchard Says Now’s the Time to Make It Clear. Available online: https://www.adweek.com/brand-marketing/which-side-of-history-is-your-brand-on-pgs-marc-pritchard-says-nows-the-time-to-make-it-clear/ (accessed on 2 October 2018).
- P&G’s ‘The Talk’ ad Stirs up Social Media, Earning Blowback and Praise. c2017. Available online: https://www.cincinnati.com/story/money/2017/08/03/pg-procter-the-talk-ad-stirs-up-social-media-winning-praise-and-blowback/537163001/ (accessed on 2 October 2018).
- Growing Pains: In Extending a Hand to New Audiences, Shea Moisture Rubs its Base the Wrong Way. Available online: https://youngrestlesscreative.com/2017/05/02/growing-pains-in-extending-a-hand-to-new-audiences-shea-moisture-rubs-its-base-the-wrong-way/ (accessed on 2 October 2018).
- Gray, R.; Vitak, J.; Easton, E.W.; Ellison, N.B. Examining social adjustment to college in the age of social media: Factors influencing successful transitions and persistence. Comput. Educ. 2013, 67, 193–207. [Google Scholar] [CrossRef]
- Mesch, G.S. Minority status and the use of computer-mediated communication: A test of the social diversification hypothesis. Commun. Res. 2012, 39, 317–337. [Google Scholar] [CrossRef] [Green Version]
- Fox, J.; Warber, K.M. Queer identity management and political Self-Expression on social networking sites: A Co-Cultural approach to the spiral of silence. J. Commun. 2015, 65, 79–100. [Google Scholar] [CrossRef]
- Correa, T.; Jeong, S.H. Race and online content creation: Why minorities are actively participating in the web. Inf. Commun. Soc. 2011, 14, 638–659. [Google Scholar] [CrossRef]
- De Vries, N.J.; Carlson, J. Examining the drivers and brand performance implications of customer engagement with brands in the social media environment. J. Brand Manag. 2014, 21, 495–515. [Google Scholar] [CrossRef]
- Brodie, R.J.; Hollebeek, L.D.; Juric, B.; Ilic, A. Customer engagement: Conceptual domain, fundamental propositions, and implications for research. J. Serv. Res. 2011, 14, 252–271. [Google Scholar] [CrossRef]
- Leckie, C.; Nyadzayo, M.W.; Johnson, L.W. Antecedents of consumer brand engagement and brand loyalty. J. Mark. Manag. 2016, 32, 558–578. [Google Scholar] [CrossRef]
- Gvili, Y.; Levy, S. Consumer engagement with eWOM on social media: The role of social capital. Online Inf. Rev. 2018, 42, 482–505. [Google Scholar] [CrossRef]
- Hollebeek, L.D.; Glynn, M.S.; Brodie, R.J. Consumer brand engagement in social media: Conceptualization, scale development and validation. J. Interact. Mark. 2014, 28, 149–165. [Google Scholar] [CrossRef]
- Anastasiei, B.; Dospinescu, N. A model of the relationships between the big five personality traits and the motivations to deliver word-of-mouth online. Psihologija 2018, 51, 215–227. [Google Scholar] [CrossRef] [Green Version]
- Berry, J.W. Acculturation as varieties of adaptation. In Acculturation Theory: Models and Some New Findings; Padilla, A.M., Ed.; Westview: Boulder, CO, USA, 1980. [Google Scholar]
- Berry, J.W. Social and cultural change. In Handbook of Cross-Cultural Psychology; Brislin, R.W., Triandis, H.C., Eds.; Allyn & Bacon: Boston, MA, USA, 1980. [Google Scholar]
- Deshpande, R.; Hoyer, W.D.; Donthu, N. The intensity of ethnic affiliation: A study of the sociology of hispanic consumption. J. Consum. Res. 1986, 13, 214–220. [Google Scholar] [CrossRef]
- Hirschman, E.C. American jewish ethnicity: Its relationship to some selected aspects of consumer behavior. J. Mark. 1981, 45, 102–110. [Google Scholar] [CrossRef]
- Peñaloza, L. Atravesando fronteras/border crossings: A critical ethnographic exploration of the consumer acculturation of mexican immigrants. J. Consum. Res. 1994, 21, 32–54. [Google Scholar] [CrossRef]
- Askegaard, S.; Arnould, E.J.; Kjeldgaard, D. Postassimilationist ethnic consumer research: Qualifications and extensions. J. Consum. Res. 2005, 32, 160–170. [Google Scholar] [CrossRef]
- Kizgin, H.; Jamal, A.; Rana, N.; Dwivedi, Y.; Weerakkody, V. The impact of social networking sites on socialization and political engagement: Role of acculturation. Technol. Forecast. Soc. Chang. 2019, 145, 503–512. [Google Scholar] [CrossRef]
- Kizgin, H.; Jamal, A.; Dey, B.L.; Rana, N.P. The impact of social media on consumers’ acculturation and purchase intentions. Inf. Syst. Front. 2018, 20, 503–514. [Google Scholar] [CrossRef] [Green Version]
- Demangeot, C.; Broderick, A.J.; Craig, C.S. Multicultural marketplaces: New territory for international marketing and consumer research. Int. Mark. Rev. 2015, 32, 118–140. [Google Scholar] [CrossRef]
- Lingreen, A.; Dobele, A.; Vanhamme, J.; Luís Abrantes, J.; Seabra, C.; Raquel Lages, C.; Jayawardhena, C. Drivers of in-group and out-of-group electronic word-of-mouth (eWOM). Eur. J. Mark. 2013, 47, 1067–1088. [Google Scholar]
- Donthu, N.; Kumar, S.; Pandey, N.; Pandey, N.; Mishra, A. Mapping the electronic word-of-mouth (eWOM) research: A systematic review and bibliometric analysis. J. Bus. Res. 2021, 135, 758–773. [Google Scholar] [CrossRef]
- Schamari, J.; Schaefers, T. Leaving the home turf: How brands can use webcare on consumer-generated platforms to increase positive consumer engagement. J. Interact. Mark. 2015, 30, 20–33. [Google Scholar] [CrossRef]
- Anastasiei, B.; Dospinescu, N.; Dospinescu, O. Understanding the adoption of incentivized word-of-mouth in the online environment. J. Theor. Appl. Electron. Commer. Res. 2021, 16, 992–1007. [Google Scholar] [CrossRef]
- Chen, A.; Lu, Y.; Wang, B.; Zhao, L.; Li, M. What drives content creation behavior on SNSs? A commitment perspective. J. Bus. Res. 2013, 66, 2529–2535. [Google Scholar] [CrossRef]
- Hennig-Thurau, T.; Gwinner, K.P.; Walsh, G.; Gremler, D.D. Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the internet? J. Interact. Mark. 2004, 18, 38–52. [Google Scholar] [CrossRef]
- Lee, C.H. Predictors of electronic word-of-mouth behavior on social networking sites in the united states and korea: Cultural and social relationship variables. Comput. Hum. Behav. 2019, 94, 9–18. [Google Scholar] [CrossRef]
- Levy, S.; Gvili, Y. Online shopper engagement in price negotiation: The roles of culture, involvement and eWOM. Int. J. Advert. 2020, 39, 232–256. [Google Scholar] [CrossRef]
- Van Doorn, J.; Lemon, K.N.; Mittal, V.; Nass, S.; Pick, D.; Pirner, P.; Verhoef, P.C. Customer engagement behavior: Theoretical foundations and research directions. J. Serv. Res. 2010, 13, 253–266. [Google Scholar] [CrossRef]
- Harmeling, C.M.; Moffett, J.W.; Arnold, M.J.; Carlson, B.D. Toward a theory of customer engagement marketing. J. Acad. Mark. Sci. 2017, 45, 312–335. [Google Scholar] [CrossRef]
- Ángeles Oviedo-García, M.; Muñoz-Expósito, M.; Castellanos-Verdugo, M.; Sancho-Mejías, M. Metric proposal for customer engagement in facebook. J. Res. Interact. Mark. 2014, 8, 327–344. [Google Scholar] [CrossRef]
- Camarero, C.; San José, R. Social and attitudinal determinants of viral marketing dynamics. Comput. Hum. Behav. 2011, 27, 2292–2300. [Google Scholar] [CrossRef]
- Busalim, A.H.; Hussin, A.R.C.; Iahad, N.A. Factors influencing customer engagement in social commerce websites: A systematic literature review. J. Theor. Appl. Electron. Commer. Res. 2019, 14, 1–14. [Google Scholar] [CrossRef] [Green Version]
- Kumar, V.; Pansari, A. Competitive advantage through engagement. J. Mark. Res. 2016, 53, 497–514. [Google Scholar] [CrossRef]
- Chu, S.; Kim, Y. Determinants of consumer engagement in electronic word-of-mouth (eWOM) in social networking sites. Int. J. Advert. 2011, 30, 47–75. [Google Scholar] [CrossRef]
- Calder, B.J.; Malthouse, E.C.; Schaedel, U. An experimental study of the relationship between online engagement and advertising effectiveness. J. Interact. Mark. 2009, 23, 321–331. [Google Scholar] [CrossRef]
- Shan, Y.; King, K.W. The effects of interpersonal tie strength and subjective norms on consumers’ brand-related eWOM referral intentions. J. Interact. Advert. 2015, 15, 16–27. [Google Scholar] [CrossRef]
- Han, T.; Stoel, L. Explaining socially responsible consumer behavior: A meta-analytic review of theory of planned behavior. J. Int. Consum. Mark. 2017, 29, 91–103. [Google Scholar] [CrossRef] [Green Version]
- Rise, J.; Sheeran, P.; Hukkelberg, S. The role of self-identity in the theory of planned behavior: A meta-analysis. J. Appl. Soc. Psychol. 2010, 40, 1085–1105. [Google Scholar] [CrossRef]
- Mainardes, E.W.; de Souza, I.M.; Correia, R.D. Antecedents and consequents of consumers not adopting e-commerce. J. Retail. Consum. Serv. 2020, 55, 1–9. [Google Scholar] [CrossRef]
- Ajzen, I. The theory of planned behavior. Organ. Behav. Hum. Decis. Process 1991, 50, 179–211. [Google Scholar] [CrossRef]
- Fishbein, M.; Ajzen, I. Predicting and Changing Behavior: The Reasoned Action Approach; Taylor & Francis: New York, NY, USA, 2010. [Google Scholar]
- Henning, V.; Hennig-Thurau, T.; Feiereisen, S. Giving the Expectancy-Value model a heart. Psychol. Mark. 2012, 29, 765–781. [Google Scholar] [CrossRef]
- Verkuyten, M.; Yogeeswaran, K.; Adelman, L. Toleration and prejudice-reduction: Two ways of improving intergroup relations. Eur. J. Soc. Psychol. 2020, 50, 239–255. [Google Scholar] [CrossRef] [Green Version]
- Matera, C.; Imai, T.; Pinzi, S. Do you think like me? perceived concordance concerning contact and culture maintenance on international students’ intentions for contact with the host-society. Int. J. Intercult. Relat. 2018, 63, 27–37. [Google Scholar] [CrossRef]
- Üstüner, T.; Holt, D.B. Dominated consumer acculturation: The social construction of poor migrant women’s consumer identity projects in a turkish squatter. J. Consum. Res. 2007, 34, 41–56. [Google Scholar] [CrossRef]
- Rui, J.R.; Wang, H. Social network sites and international students’ cross-cultural adaptation. Comput. Hum. Behav. 2015, 49, 400–411. [Google Scholar] [CrossRef]
- Park, H.S. Relationships among attitudes and subjective norms: Testing the theory of reasoned action across cultures. Commun. Stud. 2000, 51, 162–175. [Google Scholar] [CrossRef]
- Leung, K.; Morris, M.W. Values, schemas, and norms in the culture–behavior nexus: A situated dynamics framework. J. Int. Bus. Stud. 2015, 46, 1028–1050. [Google Scholar] [CrossRef]
- Gunawan, D.D.; Huarng, K. Viral effects of social network and media on consumers’ purchase intention. J. Bus. Res. 2015, 68, 2237–2241. [Google Scholar] [CrossRef]
- Ashraf, A.R.; Thongpapanl, N.; Auh, S. The application of the technology acceptance model under different cultural contexts: The case of online shopping adoption. J. Int. Mark. 2014, 22, 68–93. [Google Scholar] [CrossRef]
- Darley, W.K.; Blankson, C.; Luethge, D.J. Toward an integrated framework for online consumer behavior and decision making process: A review. Psychol. Mark. 2010, 27, 94–116. [Google Scholar] [CrossRef]
- Makri, K.; Schlegelmilch, B.B. Time orientation and engagement with social networking sites: A cross-cultural study in austria, china and uruguay. J. Bus. Res. 2017, 80, 155–163. [Google Scholar] [CrossRef]
- Azab, C.; Clark, T. Speak my language or look like me?–Language and ethnicity in bilingual customer service recovery. J. Bus. Res. 2017, 72, 57–68. [Google Scholar] [CrossRef]
- Eisingerich, A.B.; Chun, H.H.; Liu, Y.; Jia, H.; Bell, S.J. Why recommend a brand face-to-face but not on facebook? how word-of-mouth on online social sites differs from traditional word-of-mouth. J. Consum. Psychol. 2015, 25, 120–128. [Google Scholar] [CrossRef]
- Barger, V.; Peltier, J.W.; Schultz, D.E. Social media and consumer engagement: A review and research agenda. J. Res. Interact. Mark. 2016, 10, 268–287. [Google Scholar] [CrossRef]
- Dessart, L.; Veloutsou, C.; Morgan-Thomas, A. Capturing consumer engagement: Duality, dimensionality and measurement. J. Mark. Manag. 2016, 32, 399–426. [Google Scholar] [CrossRef]
- Allport, G.W. The Nature of Prejudice; Addison-Wesley: Reading, MA, USA, 1954. [Google Scholar]
- Lev-On, A.; Lissitsa, S. Studying the coevolution of social distance, offline-and online contacts. Comput. Hum. Behav. 2015, 48, 448–456. [Google Scholar] [CrossRef]
- Wojcieszak, M.; Azrout, R. I saw you in the news: Mediated and direct intergroup contact improve outgroup attitudes. J. Commun. 2016, 66, 1032–1060. [Google Scholar] [CrossRef]
- Berry, J.W. Immigration, acculturation, and adaptation. Appl. Psychol. 1997, 46, 5–34. [Google Scholar] [CrossRef]
- Cleveland, M.; Chang, W. Migration and materialism: The roles of ethnic identity, religiosity, and generation. J. Bus. Res. 2009, 62, 963–971. [Google Scholar] [CrossRef]
- Laroche, M.; Yang, Z.; Kim, C.; Richard, M. How culture matters in children’s purchase influence: A multi-level investigation. J. Acad. Mark. Sci. 2007, 35, 113–126. [Google Scholar] [CrossRef]
- Pieterse, J.N. Social capital and migration beyond ethnic economies. Ethnicities 2003, 3, 29–58. [Google Scholar] [CrossRef]
- Owusu, T.Y. The role of ghanaian immigrant associations in toronto, canada. Int. Migr. Rev. 2000, 34, 1155–1181. [Google Scholar] [CrossRef]
- Oswald, L.R. Culture swapping: Consumption and the ethnogenesis of middle-class haitian immigrants. J. Consum. Res. 1999, 25, 303–318. [Google Scholar] [CrossRef]
- Berry, J.W. A psychology of immigration. J. Soc. ISS 2001, 57, 615–631. [Google Scholar] [CrossRef]
- Reichelt, J.; Sievert, J.; Jacob, F. How credibility affects eWOM reading: The influences of expertise, trustworthiness, and similarity on utilitarian and social functions. J. Mark. Commun. 2014, 20, 65–81. [Google Scholar] [CrossRef]
- Dato-on, M.C.; Burns, D.J.; Manolis, C.; Hanvanich, S. Cultural assimilation and its effects on consumption behaviors: An examination of shopping behaviors and preferences of US hispanic immigrants. J. Shopp. Cent. Res. 2007, 13, 107–138. [Google Scholar]
- Segev, S.; Wang, W.; Fernandes, J. The effects of ad-context congruency on responses to advertising in blogs: Exploring the role of issue involvement. Int. J. Advert. 2014, 33, 17–36. [Google Scholar] [CrossRef]
- Quester, P.G.; Karunaratna, A.; Chong, I. Australian chinese consumers: Does acculturation affect consumer decision making? J. Int. Consum. Mark. 2001, 13, 7–28. [Google Scholar] [CrossRef]
- Lee, E.; Fairhurst, A.; Dillard, S. Usefulness of ethnicity in international consumer marketing. J. Int. Consum. Mark. 2002, 14, 25–48. [Google Scholar] [CrossRef]
- Wang, X.; Yu, C.; Wei, Y. Social media peer communication and impacts on purchase intentions: A consumer socialization framework. J. Interact. Mark. 2012, 26, 198–208. [Google Scholar] [CrossRef]
- Perloff, R.M.; Bonder, B.; Ray, G.B.; Ray, E.B.; Siminoff, L.A. Doctor-patient communication, cultural competence, and minority health: Theoretical and empirical perspectives. Am. Behav. Sci. 2006, 49, 835–852. [Google Scholar] [CrossRef]
- Paternotte, E.; van Dulmen, S.; van der Lee, N.; Scherpbier, A.J.; Scheele, F. Factors influencing intercultural doctor-patient communication: A realist review. Patient Educ. Couns. 2015, 98, 420–445. [Google Scholar] [CrossRef] [Green Version]
- Stephan, W.G. Intergroup anxiety: Theory, research, and practice. Personal. Soc. Psychol. Rev. 2014, 18, 239–255. [Google Scholar] [CrossRef]
- Eleta, I.; Golbeck, J. Multilingual use of twitter: Social networks at the language frontier. Comput. Hum. Behav. 2014, 41, 424–432. [Google Scholar] [CrossRef]
- La Ferle, C.; Lee, W. Can english language media connect with ethnic audiences? ethnic minorities’ media use and representation perceptions. J. Advert. Res. 2005, 45, 140–153. [Google Scholar] [CrossRef]
- Alam, K.; Imran, S. The digital divide and social inclusion among refugee migrants: A case in regional australia. Inf. Technol. People 2015, 28, 344–365. [Google Scholar] [CrossRef] [Green Version]
- Yu, B.; Shen, H. Predicting roles of linguistic confidence, integrative motivation and second language proficiency on cross-cultural adaptation. Int. J. Intercult. Relat. 2012, 36, 72–82. [Google Scholar] [CrossRef]
- Peltokorpi, V.; Pudelko, M. When more is not better: A curvilinear relationship between foreign language proficiency and social categorization. J. Int. Bus. Stud. 2020, 1–27. [Google Scholar] [CrossRef]
- Tang, C.; Guo, L. Digging for gold with a simple tool: Validating text mining in studying electronic word-of-mouth (eWOM) communication. Mark. Lett. 2015, 26, 67–80. [Google Scholar] [CrossRef]
- Rossmann, A.; Rossmann, A.; Ranjan, K.R.; Ranjan, K.R.; Sugathan, P.; Sugathan, P. Drivers of user engagement in eWoM communication. J. Serv. Mark. 2016, 30, 541–553. [Google Scholar] [CrossRef]
- Glass, C.R.; Westmont, C.M. Comparative effects of belongingness on the academic success and cross-cultural interactions of domestic and international students. Int. J. Intercult. Relat. 2014, 38, 106–119. [Google Scholar] [CrossRef]
- Ng, S.I.; Lee, J.A.; Soutar, G.N. Are hofstede’s and schwartz’s value frameworks congruent? Int. Mark. Rev. 2007, 24, 164–180. [Google Scholar]
- Triandis, H.C. Culture and conflict. Int. J. Psychol. 2000, 35, 145–152. [Google Scholar] [CrossRef]
- Mahfud, Y.; Badea, C.; Verkuyten, M.; Reynolds, K. Multiculturalism and attitudes toward immigrants: The impact of perceived cultural distance. J. Cross-Cult. Psychol. 2018, 49, 945–958. [Google Scholar] [CrossRef]
- Guan, Y.; Verkuyten, M.; Fung, H.H.; Bond, M.H.; Chen, S.X.; Chan, C.C. Out-group value incongruence and intergroup attitude: The roles of common identity and multiculturalism. Int. J. Intercult. Relat. 2011, 35, 377–385. [Google Scholar] [CrossRef]
- Wimmer, A.; Soehl, T. Blocked acculturation: Cultural heterodoxy among europe’s immigrants. Am. J. Sociol. 2014, 120, 146–186. [Google Scholar] [CrossRef] [Green Version]
- Shalev, M.; Lazarus, A. Horizontal inequality in israel’s welfare state: Do arab citizens receive fewer transfer payments? In Socioeconomic Inequality in Israel; Khattab, N., Miaari, S., Stier, H., Eds.; Palgrave Macmillan US: New York, NY, USA, 2016. [Google Scholar]
- Hino, H. Shopping at different food retail formats: Understanding cross-shopping behavior through retail format selective use patterns. Eur. J. Mark. 2014, 48, 674–698. [Google Scholar] [CrossRef]
- Thompson, S. Sampling; John Wiley & Sons: Somerset, NJ, USA, 2012. [Google Scholar]
- Craig, C.S.; Douglas, S.P. International Marketing Research; Wiley: New York, NY, USA, 2005. [Google Scholar]
- Hui, C.H.; Triandis, H.C. Measurement in cross-cultural psychology: A review and comparison of strategies. J. Cross-Cult. Psychol. 1985, 16, 131–152. [Google Scholar] [CrossRef]
- Schober, M.F. The future of face-to-face interviewing. Qual. Assur. Educ. 2018, 26, 290–302. [Google Scholar] [CrossRef]
- Stiegler, A.; Biedinger, N. Interviewer skills and training. In GESIS Survey Guidelines; GESIS—Leibniz Institute for the Social Sciences: Mannheim, Germany, 2016. [Google Scholar]
- Groves, R.M.; Fowler, F.J.; Couper, M.P.; Lepkowski, J.M.; Singer, E.; Tourangeau, R. Survey Methodology; Wiley: Hoboken, NJ, USA, 2011. [Google Scholar]
- Loosveldt, G. Face-to-face interviews. In International Handbook of Survey Methodology; de Leeuw, E.D., Hox, J.J., Dillman, D.A., Eds.; Lawrence Erlbaum: New York, NY, USA, 2008. [Google Scholar]
- Lensvelt-Mulders, G. Surveying sensitive topics. In International Handbook of Survey Methodology; de Leeuw, E.D., Hox, J.J., Dillman, D.A., Eds.; Lawrence Erlbaum: New York, NY, USA, 2008. [Google Scholar]
- Gvili, Y.; Levy, S. Antecedents of attitudes toward eWOM communication: Differences across channels. Internet Res. 2016, 26, 1030–1051. [Google Scholar] [CrossRef]
- Fu, J.; Ju, P.; Hsu, C. Understanding why consumers engage in electronic word-of-mouth communication: Perspectives from theory of planned behavior and justice theory. Electron. Commer. Res. Appl. 2015, 14, 616–630. [Google Scholar] [CrossRef]
- Cuellar, I.; Arnold, B.; Maldonado, R. Acculturation rating scale for mexican americans-II: A revision of the original ARSMA scale. Hisp. J. Behav. Sci. 1995, 17, 275–304. [Google Scholar] [CrossRef]
- Chiu, C.; Hsu, M.; Wang, E.T. Understanding knowledge sharing in virtual communities: An integration of social capital and social cognitive theories. Decis. Support Syst. 2006, 42, 1872–1888. [Google Scholar] [CrossRef]
- Sheldon, P Host communication competence and locus of control of international students in the united states. J. Intercult. Commun. 2010, 24.
- Demes, K.A.; Geeraert, N. Measures matter: Scales for adaptation, cultural distance, and acculturation orientation revisited. J. Cross-Cult. Psychol. 2014, 45, 91–109. [Google Scholar] [CrossRef] [Green Version]
- Pollay, R.W.; Mittal, B. Here’s the beef: Factors, determinants, and segments in consumer criticism of advertising. J. Mark. 1993, 57, 99–114. [Google Scholar] [CrossRef]
- Podsakoff, P.M.; MacKenzie, S.B.; Lee, J.; Podsakoff, N.P. Common method biases in behavioral research: A critical review of the literature and recommended remedies. J. Appl. Psychol. 2003, 88, 879. [Google Scholar] [CrossRef]
- MacKenzie, S.B.; Podsakoff, P.M. Common method bias in marketing: Causes, mechanisms, and procedural remedies. J. Retail. 2012, 88, 542–555. [Google Scholar] [CrossRef]
- Podsakoff, P.M.; Organ, D.W. Self-reports in organizational research: Problems and prospects. J. Manag. 1986, 12, 531–544. [Google Scholar] [CrossRef]
- Bagozzi, R.P.; Edwards, J.R. A general approach for representing constructs in organizational research. Organ. Res. Methods 1998, 1, 45–87. [Google Scholar] [CrossRef] [Green Version]
- Henseler, J. Partial least squares path modeling. In Advanced Methods for Modeling Markets: International Series in Quantitative Marketing; Leeflang, P., Wieringa, J., Bijmolt, T., Pauwels, K., Eds.; Springer: New York, NY, USA, 2017. [Google Scholar]
- Henseler, J.; Hubona, G.; Ray, P.A. Using PLS path modeling in new technology research: Updated guidelines. Ind. Manag. Data Syst. 2016, 116, 2–20. [Google Scholar] [CrossRef]
- Latan, H.; Jabbour, C.J.C.; de Sousa Jabbour, A.B.L. Ethical awareness, ethical judgment and whistleblowing: A moderated mediation analysis. J. Bus. Ethics 2019, 155, 289–304. [Google Scholar] [CrossRef]
- Chin, W.W.; Marcolin, B.L.; Newsted, P.R. A partial least squares latent variable modeling approach for measuring interaction effects: Results from a monte carlo simulation study and an electronic-mail emotion/adoption study. Inf. Syst. Res. 2003, 14, 189–217. [Google Scholar] [CrossRef] [Green Version]
- Fornell, C.; Larcker, D.F. Evaluating structural equation models with unobservable variables and measurement error. J. Market. Res. 1981, 18, 39–50. [Google Scholar] [CrossRef]
- Henseler, J.; Ringle, C.M.; Sarstedt, M. A new criterion for assessing discriminant validity in variance-based structural equation modeling. J. Acad. Mark. Sci. 2015, 43, 115–135. [Google Scholar] [CrossRef] [Green Version]
- Hair, J.F.; Hult, G.T.M.; Ringle, C.; Sarstedt, M. A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM); SAGE Publications: Thousand Oaks, CA, USA, 2016. [Google Scholar]
- Hair, J.F.; Wolfinbarger, C.M.; Money, A.; Samouel, P.; Page, M. Essentials of Business Research Methods, 3rd ed.; ME Sharpe: Armonk, NY, USA, 2015. [Google Scholar]
- Kock, N. WarpPLS 5.0 User Manual; ScriptWarp Systems: Laredo, TX, USA, 2015. [Google Scholar]
- Charmaraman, L.; Chan, H.B.; Chen, S.; Richer, A.; Ramanudom, B. Asian american social media use: From cyber dependence and cyber harassment to saving face. Asian Am. J. Psychol. 2018, 9, 72–86. [Google Scholar] [CrossRef]
- Oetzel, J.G.; Ting-Toomey, S. Face concerns in interpersonal conflict: A cross-cultural empirical test of the face negotiation theory. Commun. Res. 2003, 30, 599–624. [Google Scholar] [CrossRef]
- Emerson, R.M. Social exchange theory. Annu. Rev. Sociol. 1976, 2, 335–362. [Google Scholar] [CrossRef]
- Chu, S.; Lien, C.; Cao, Y. Electronic word-of-mouth (eWOM) on WeChat: Examining the influence of sense of belonging, need for self-enhancement, and consumer engagement on chinese travellers’ eWOM. Int. J. Advert. 2019, 38, 26–49. [Google Scholar] [CrossRef]
- Shapiro, L.A.S.; Margolin, G. Growing up wired: Social networking sites and adolescent psychosocial development. Clin. Child. Fam. Psychol. Rev. 2014, 17, 1–18. [Google Scholar] [CrossRef]
- Lin, J.; Li, L.; Yan, Y.; Turel, O. Understanding chinese consumer engagement in social commerce: The roles of social support and swift guanxi. Internet Res. 2018, 28, 2–22. [Google Scholar] [CrossRef] [Green Version]
- Kalmijn, M.; Van Tubergen, F. Ethnic intermarriage in the netherlands: Confirmations and refutations of accepted insights. Eur. J. Popul. /Rev. Eur. Demogr. 2006, 22, 371–397. [Google Scholar] [CrossRef]
- Fishbein, M.; Ajzen, I. Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research; Addison-Wesley Publishing Company: Reading, MA, USA, 1975. [Google Scholar]
- Money, R.B.; Gilly, M.C.; Graham, J.L. Explorations of national culture and word-of-mouth referral behavior in the purchase of industrial services in the united states and japan. J. Mark. 1998, 62, 76–87. [Google Scholar] [CrossRef]
- Chu, S.; Choi, S.M. Electronic word-of-mouth in social networking sites: A cross-cultural study of the united states and china. J. Glob. Mark. 2011, 24, 263–281. [Google Scholar] [CrossRef]
- Christodoulides, G.; Michaelidou, N.; Argyriou, E. Cross-national differences in e-WOM influence. Eur. J. Mark. 2012, 46, 1689–1707. [Google Scholar] [CrossRef]
- Gvili, Y.; Levy, S. Consumer engagement in sharing brand-related information on social commerce: The roles of culture and experience. J. Mark. Commun. 2019, 27, 53–68. [Google Scholar] [CrossRef]
- Luo, C.; Wu, J.; Shi, Y.; Xu, Y. The effects of individualism–collectivism cultural orientation on eWOM information. Int. J. Inf. Manag. 2014, 34, 446–456. [Google Scholar] [CrossRef]
- Voss, K.E.; Spangenberg, E.R.; Grohmann, B. Measuring the hedonic and utilitarian dimensions of consumer attitude. J. Mark. Res. 2003, 40, 310–320. [Google Scholar] [CrossRef]
- Calder, B.J.; Isaac, M.S.; Malthouse, E.C. How to capture consumer experiences: A context-specific approach to measuring engagement. J. Advert. Res. 2016, 56, 39–52. [Google Scholar] [CrossRef]
- Voorveld, H.A.; van Noort, G.; Muntinga, D.G.; Bronner, F. Engagement with social media and social media advertising: The differentiating role of platform type. J. Advert. 2018, 47, 38–54. [Google Scholar] [CrossRef] [Green Version]
- Barykin, S.Y.; Kapustina, I.V.; Sergeev, S.M.; Kalinina, O.V.; Vilken, V.V.; de la Poza, E.; Putikhin, Y.Y.; Volkova, L.V. Developing the physical distribution digital twin model within the trade network. Acad. Strateg. Manag. J. 2021, 20, 1–18. [Google Scholar]
- Barykin, S.Y.; Bochkarev, A.A.; Dobronravin, E.; Sergeev, S.M. The place and role of digital twin in supply chain management. Acad. Strateg. Manag. J. 2021, 20, 1–19. [Google Scholar]
- Dospinescu, O.; Dospinescu, N.; Bostan, I. Determinants of e-commerce satisfaction: A comparative study between romania and moldova. Kybernetes 2021, in press. [Google Scholar] [CrossRef]
- Simonson, I.; Rosen, E. What marketers misunderstand about online reviews. Harv. Bus. Rev. 2014, 92, 23–25. [Google Scholar]
- Supermarkets Aren’t Effectively Marketing to US-Born Hispanics, Report Finds; c2018. Available online: https://www.fooddive.com/news/supermarkets-arent-effectively-marketing-to-us-born-hispanics-report-find/524031/ (accessed on 7 October 2018).
- Rosenberg, N.; Daviglus, M.L.; DeVon, H.A.; Park, C.G.; Eldeirawi, K. The association between parity and inflammation among mexican-american women of reproductive age varies by acculturation level: Results of the national health and nutrition examination survey (1999–2006). Womens Health Issues 2017, 27, 485–492. [Google Scholar] [CrossRef]
- Lazer, D. Social sciences. the rise of the social algorithm. Science 2015, 348, 1090–1091. [Google Scholar] [CrossRef] [PubMed]
- Bakshy, E.; Messing, S.; Adamic, L.A. Political science. exposure to ideologically diverse news and opinion on facebook. Science 2015, 348, 1130–1132. [Google Scholar] [CrossRef]
- McPherson, M.; Smith-Lovin, L.; Cook, J.M. Birds of a feather: Homophily in social networks. Annu. Rev. Sociol. 2001, 27, 415–444. [Google Scholar] [CrossRef] [Green Version]
- Peñaloza, L. Ethnic marketing practice and research at the intersection of market and social development: A macro study of the past and present, with a look to the future. J. Bus. Res. 2018, 82, 273–280. [Google Scholar] [CrossRef]
- Pookulangara, S.; Koesler, K. Cultural influence on consumers’ usage of social networks and its’ impact on online purchase intentions. J. Retail. Consum. Serv. 2011, 18, 348–354. [Google Scholar] [CrossRef]
- Pavlou, P.A.; Chai, L. What drives electronic commerce across cultures? across-cultural empirical investigation of the theory of planned behavior. J. Electron. Commer. Res. 2002, 3, 240–253. [Google Scholar]
- Sterling, B.A.; Christensen, G.L.; Williams, J.D. Rejected, shackled, and alone: The impact of systemic restricted choice on minority consumers’ construction of self. J. Consum. Res. 2014, 41, 451–474. [Google Scholar]
- Bartikowski, B.; Laroche, M.; Jamal, A.; Yang, Z. The type-of-internet-access digital divide and the well-being of ethnic minority and majority consumers: A multi-country investigation. J. Bus. Res. 2018, 82, 373–380. [Google Scholar] [CrossRef]
Variables and Items | Standardized Coefficients | EFA Loadings | Composite Reliability | Cronbach’s Alpha |
---|---|---|---|---|
Directions: Participants were instructed that the statements below are related to their communications with individuals from the culture of the majority population. | ||||
Intention to Receive (ITR)a [14] | 0.94 | 0.90 | ||
1. I usually read recommendations on products and services on social media. | 0.88 * | 0.76 | ||
2. Most of the time, I am pleased to read on social media about the experiences other people have had with products and services that interest me. | 0.95 * | 0.85 | ||
3. When I see them on social media, I am open to receiving other peoples’ opinions on interesting products or services. | 0.92 * | 0.71 | ||
Intention To Send (ITS)a [14] | 0.94 | 0.90 | ||
1. I tend to share my consumption experiences with others on social media after using a new product. | 0.89 * | 0.74 | ||
2. When I receive valuable information on social media about products or services, I usually forward it to others. | 0.94 * | 0.87 | ||
3. When I receive information on social media about products or services, I tend to express my opinion there. | 0.91 * | 0.88 | ||
Attitudea [111] | 0.93 | 0.88 | ||
1. In general, recommendations about products and services on social media are a good thing. | 0.90 * | 0.78 | ||
2. In general, I like receiving recommendations about products and services on social media. | 0.92 * | 0.81 | ||
3. In general, recommendations about products and services on social media are a positive thing. | 0.88 * | 0.66 | ||
Subjective Normsa [106] | 0.94 | 0.90 | ||
1. People who influence my behavior think that I should use social media to receive or share recommendations about products and services. | 0.90 * | 0.84 | ||
2. People who are important to me think that I should use social media to receive or share recommendations about products and services. | 0.91 * | 0.75 | ||
3. People whose opinions I appreciate think that I should use social media to receive or share recommendations about products and services. | 0.93 * | 0.72 | ||
Perceived Behavioral Control (PBC)a [106] | 0.93 | 0.88 | ||
1. I have control over using social media to receive or share recommendations about products and services. | 0.83 * | 0.77 | ||
2. I have the resources necessary to use social media to receive or share opinions about products and services. | 0.94 * | 0.87 | ||
3. I have the knowledge necessary to use social media to receive or share recommendations about products and services. | 0.91 * | 0.74 | ||
Acculturation [107] | 0.91 | 0.87 | ||
1. I am pleased when I listen to Israeli music. | 0.87 * | 0.81 | ||
2. I feel satisfied when I use Hebrew. | 0.94 * | 0.83 | ||
3. I enjoy reading Israeli literature (e.g., books or newspapers). | 0.90 * | 0.78 | ||
4. I like to define myself as an Israeli. | 0.69 * | 0.77 | ||
Social Interaction [108] | 0.93 | 0.88 | ||
1. I have frequent communication with some members outside my community. | 0.87 * | 0.84 | ||
2. I spend a lot of time interacting with some members outside my community. | 0.93 * | 0.86 | ||
3. I maintain close social relationships with some members outside my community. | 0.90 * | 0.80 | ||
Language Proficiency [109] | 0.94 | 0.91 | ||
1. I speak Hebrew with family or close friends. | 0.89 * | 0.85 | ||
2. I read Hebrew newspapers/magazines/books. | 0.95 * | 0.88 | ||
3. I write Hebrew well. | 0.93 * | 0.78 | ||
Cultural Distance [110] | 0.87 | 0.78 | ||
1. In terms of family lifestyle, my culture is different than the culture of the majority population. | 0.87 * | 0.83 | ||
2. In terms of food consumption, my culture is different than the culture of the majority population. | 0.82 * | 0.81 | ||
3. In terms of values and beliefs, my culture is different than the culture of the majority population. | 0.81 * | 0.80 |
Construct | VIF | AVE | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
---|---|---|---|---|---|---|---|---|---|---|---|
1. ITR | 2.02 | 0.84 | 0.91 | 0.64 | 0.76 | 0.55 | 0.58 | 0.40 | 0.34 | 0.38 | 0.37 |
2. ITS | 1.75 | 0.83 | 0.58 ** | 0.91 | 0.58 | 0.57 | 0.46 | 0.40 | 0.33 | 0.27 | 0.21 |
3. Attitude | 2.25 | 0.81 | 0.69 ** | 0.51 ** | 0.90 | 0.65 | 0.63 | 0.38 | 0.39 | 0.38 | 0.33 |
4. Subjective Norms | 1.81 | 0.83 | 0.47 ** | 0.51 ** | 0.53 ** | 0.91 | 0.64 | 0.35 | 0.37 | 0.23 | 0.34 |
5. PBC | 1.73 | 0.82 | 0.49 ** | 0.39 ** | 0.52 ** | 0.55 ** | 0.90 | 0.29 | 0.44 | 0.41 | 0.29 |
6. Acculturation | 1.21 | 0.73 | 0.27 ** | 0.30 ** | 0.18 ** | 0.31 ** | 0.23 ** | 0.85 | 0.41 | 0.57 | 0.24 |
7. Social Interaction | 1.17 | 0.81 | 0.33 ** | 0.30 ** | 0.34 ** | 0.31 ** | 0.35 ** | 0.31 ** | 0.90 | 0.55 | 0.07 |
8. Language Proficiency | 1.16 | 0.85 | 0.32 ** | 0.22 ** | 0.29 ** | 0.20 ** | 0.34 ** | 0.50 ** | 0.49 ** | 0.92 | 0.25 |
9. Cultural Distance | 1.13 | 0.69 | 0.32 ** | 0.19 ** | 0.29 ** | 0.25 ** | 0.20 ** | 0.16 * | 0.05 | 0.18 ** | 0.83 |
Hypothesis | Path Relationship | Path Coefficient | S.E. | t |
---|---|---|---|---|
H1a | Attitude → Intention to Receive | 0.50 | 0.08 | 6.52 ** |
H1b | Attitude → Intention to Send | 0.10 | 0.08 | 1.25 |
H2a | Subjective Norms → Intention to Receive | 0.07 | 0.08 | 0.88 |
H2b | Subjective Norms → Intention to Send | 0.25 | 0.07 | 3.52 ** |
H3a | Behavioral Control → Intention to Receive | 0.17 | 0.08 | 1.99 * |
H3b | Behavioral Control → Intention to Send | 0.01 | 0.08 | 0.12 |
H4 | Acculturation → Attitude | 0.20 | 0.08 | 2.72 ** |
H5a | Acculturation → Intention to Receive | 0.13 | 0.05 | 2.53 * |
H5b | Acculturation → Intention to Send | 0.14 | 0.07 | 1.90 † |
H6 | Language Proficiency → Behavioral Control | 0.23 | 0.07 | 3.46 ** |
H7 | Social Interaction → Subjective Norms | 0.16 | 0.06 | 2.91 ** |
H8a | Cultural Distance × Acculturation → Attitude | −0.17 | 0.07 | −2.54 * |
H8b | Cultural Distance × Language Proficiency →Behavioral Control | −0.23 | 0.04 | −5.27 ** |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Levy, S.; Gvili, Y.; Hino, H. Engagement of Ethnic-Minority Consumers with Electronic Word of Mouth (eWOM) on Social Media: The Pivotal Role of Intercultural Factors. J. Theor. Appl. Electron. Commer. Res. 2021, 16, 2608-2632. https://doi.org/10.3390/jtaer16070144
Levy S, Gvili Y, Hino H. Engagement of Ethnic-Minority Consumers with Electronic Word of Mouth (eWOM) on Social Media: The Pivotal Role of Intercultural Factors. Journal of Theoretical and Applied Electronic Commerce Research. 2021; 16(7):2608-2632. https://doi.org/10.3390/jtaer16070144
Chicago/Turabian StyleLevy, Shalom, Yaniv Gvili, and Hayiel Hino. 2021. "Engagement of Ethnic-Minority Consumers with Electronic Word of Mouth (eWOM) on Social Media: The Pivotal Role of Intercultural Factors" Journal of Theoretical and Applied Electronic Commerce Research 16, no. 7: 2608-2632. https://doi.org/10.3390/jtaer16070144
APA StyleLevy, S., Gvili, Y., & Hino, H. (2021). Engagement of Ethnic-Minority Consumers with Electronic Word of Mouth (eWOM) on Social Media: The Pivotal Role of Intercultural Factors. Journal of Theoretical and Applied Electronic Commerce Research, 16(7), 2608-2632. https://doi.org/10.3390/jtaer16070144