IDEAS home Printed from https://ideas.repec.org/a/rse/wpaper/v25y2023i1p52-65.html
   My bibliography  Save this article

The Impact of Social Media Relationships on e-WOM in Syria and Hungary

Author

Listed:
  • Anikó Tompos

    (Széchenyi István University Győr, Hungary)

  • Jawad Abu Khair

    (Széchenyi István University Győr, Hungary)

Abstract

Cultural values play a crucial role in the formation of individuals’ behaviour. With the emergence of social networking sites, which have formed a parallel world to the real world, the behaviour of individuals and their motives to engage in electronic word of mouth (eWOM) on social media platforms has become extremely important for brands. Due to a relative lack in studies focusing on the cultural difference-based impact of social relationships on eWOM in social media, the present study seeks to address this gap as its broad objective is to investigate the effect of social relationship variables on eWOM in social media by comparing two different cultures, namely Syria and Hungary in order to explore whether social relationships exert a more significant impact on eWOM in a collectivistic society than in an individualistic one. An explanatory research design was adopted and the data was collected by means of a questionnaire survey. The final sample included 113 Syrian and 90 Hungarian respondents, all of them aged 35 or below. It was found that tie strength among young adults has a more positive impact on eWOM in Syria than in Hungary, while no homophily impact was found on eWOM in either. Regarding the other social relationship variables examined in the study (trust, normative and informational influences), the results showed that they do not have a more positive impact on eWOM in Syria than in Hungary. The research is believed to have contributed to previous investigations on the impact of social relationships on eWOM via social media by providing insights into the role of a cultural value dimension in determining the extent to which individuals are affected by their cultural background, whether collectivistic or individualistic, when they interact in social media platforms. At the same time, it is acknowledged that the study has limitations thus future examinations are necessary.

Suggested Citation

  • Anikó Tompos & Jawad Abu Khair, 2023. "The Impact of Social Media Relationships on e-WOM in Syria and Hungary," Review of Applied Socio-Economic Research, Pro Global Science Association, vol. 25(1), pages 52-65, June.
  • Handle: RePEc:rse:wpaper:v:25:y:2023:i:1:p:52-65
    as

    Download full text from publisher

    File URL: http://reaser.eu/RePec/rse/wpaper/REASER25_04Aniko_P52-65.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. De Bruyn, Arnaud & Lilien, Gary L., 2008. "A multi-stage model of word-of-mouth influence through viral marketing," International Journal of Research in Marketing, Elsevier, vol. 25(3), pages 151-163.
    2. Bearden, William O & Netemeyer, Richard G & Teel, Jesse E, 1989. "Measurement of Consumer Susceptibility to Interpersonal Influence," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 15(4), pages 473-481, March.
    3. Brown, Jacqueline Johnson & Reingen, Peter H, 1987. "Social Ties and Word-of-Mouth Referral Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 14(3), pages 350-362, December.
    4. Mittal, Vikas & Huppertz, John W. & Khare, Adwait, 2008. "Customer complaining: The role of tie strength and information control," Journal of Retailing, Elsevier, vol. 84(2), pages 195-204.
    5. Mike Thelwall, 2009. "Homophily in MySpace," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(2), pages 219-231, February.
    6. Coleman, Stephen, 2004. "The Effect of Social Conformity on Collective Voting Behavior," Political Analysis, Cambridge University Press, vol. 12(1), pages 76-96, January.
    7. Lee, Julie Anne & Kacen, Jacqueline J., 2008. "Cultural influences on consumer satisfaction with impulse and planned purchase decisions," Journal of Business Research, Elsevier, vol. 61(3), pages 265-272, March.
    8. Sylvaine Castellano & Vincent Dutot, 2017. "Investigating the Influence of E-Word-of-Mouth on E-Reputation," International Studies of Management & Organization, Taylor & Francis Journals, vol. 47(1), pages 42-60, January.
    9. Smita Sharma & Asad Rehman, 2017. "Impact of social relationships on electronic word of mouth in social networking sites: a study of Indian social network users," International Journal of Electronic Marketing and Retailing, Inderscience Enterprises Ltd, vol. 8(2), pages 93-115.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yadav, Manjit S. & de Valck, Kristine & Hennig-Thurau, Thorsten & Hoffman, Donna L. & Spann, Martin, 2013. "Social Commerce: A Contingency Framework for Assessing Marketing Potential," Journal of Interactive Marketing, Elsevier, vol. 27(4), pages 311-323.
    2. Payal S. Kapoor & K.R. Jayasimha & Ashish Sadh, 2013. "Brand-related, Consumer to Consumer, Communication via Social Media," IIM Kozhikode Society & Management Review, , vol. 2(1), pages 43-59, January.
    3. Zhang, Honghong & Fam, Kim-Shyan & Goh, Tiong-Thye & Dai, Xin, 2018. "When are influentials equally influenceable? The strength of strong ties in new product adoption," Journal of Business Research, Elsevier, vol. 82(C), pages 160-170.
    4. Menon, Kalyani & Ranaweera, Chatura, 2018. "Beyond close vs. distant ties: Understanding post-service sharing of information with close, exchange, and hybrid ties," International Journal of Research in Marketing, Elsevier, vol. 35(1), pages 154-169.
    5. Muller, Eitan & Peres, Renana, 2019. "The effect of social networks structure on innovation performance: A review and directions for research," International Journal of Research in Marketing, Elsevier, vol. 36(1), pages 3-19.
    6. Landsman, Vardit & Nitzan, Irit, 2020. "Cross-decision social effects in product adoption and defection decisions," International Journal of Research in Marketing, Elsevier, vol. 37(2), pages 213-235.
    7. Sofie Bitter & Sonja Grabner-Kräuter, 2016. "Consequences of customer engagement behavior: when negative Facebook posts have positive effects," Electronic Markets, Springer;IIM University of St. Gallen, vol. 26(3), pages 219-231, August.
    8. Fang Di & Richards Timothy J. & Grebitus Carola, 2019. "Modeling Product Choices in a Peer Network," Forum for Health Economics & Policy, De Gruyter, vol. 22(1), pages 1-13, June.
    9. Jalees, Tariq & Tariq, Huma & Zaman, Syed Imran & Alam Kazmi, Syed Hasnain, 2015. "Social Media in Virtual Marketing," MPRA Paper 69868, University Library of Munich, Germany, revised 10 Apr 2015.
    10. Kee-Young Kwahk & Byoungsoo Kim, 2017. "Effects of social media on consumers’ purchase decisions: evidence from Taobao," Service Business, Springer;Pan-Pacific Business Association, vol. 11(4), pages 803-829, December.
    11. Gentina, Élodie & Chandon, Jean-Louis, 2013. "Adolescent shopping behaviour: Different assimilation and individuation needs in France and the United States," Journal of Retailing and Consumer Services, Elsevier, vol. 20(6), pages 609-616.
    12. Yuho Chung & Yiwei Li & Jianmin Jia, 2021. "Exploring embeddedness, centrality, and social influence on backer behavior: the role of backer networks in crowdfunding," Journal of the Academy of Marketing Science, Springer, vol. 49(5), pages 925-946, September.
    13. Jolanta Tkaczyk, 2015. "Consumer Susceptibility to Social Influence and Tendency to Generate a Positive or Negative Message in Word of Mouth Communication," International Conference on Marketing and Business Development Journal, The Bucharest University of Economic Studies, vol. 1(1), pages 21-28, July.
    14. Kim, Juran & Kang, Seungmook & Lee, Ki Hoon, 2021. "Evolution of digital marketing communication: Bibliometric analysis and network visualization from key articles," Journal of Business Research, Elsevier, vol. 130(C), pages 552-563.
    15. Claus, Bart & Geyskens, Kelly & Millet, Kobe & Dewitte, Siegfried, 2012. "The referral backfire effect: The identity-threatening nature of referral failure," International Journal of Research in Marketing, Elsevier, vol. 29(4), pages 370-379.
    16. Ketelaar, Paul E. & Janssen, Loes & Vergeer, Maurice & van Reijmersdal, Eva A. & Crutzen, Rik & van ‘t Riet, Jonathan, 2016. "The success of viral ads: Social and attitudinal predictors of consumer pass-on behavior on social network sites," Journal of Business Research, Elsevier, vol. 69(7), pages 2603-2613.
    17. Vijay Viswanathan & Sebastian Tillmanns & Manfred Krafft & Daniel Asselmann, 2018. "Understanding the quality–quantity conundrum of customer referral programs: effects of contribution margin, extraversion, and opinion leadership," Journal of the Academy of Marketing Science, Springer, vol. 46(6), pages 1108-1132, November.
    18. Gupta, Reetika & Mukherjee, Sourjo & Jayarajah, Kasthuri, 2021. "Role of group cohesiveness in targeted mobile promotions," Journal of Business Research, Elsevier, vol. 127(C), pages 216-227.
    19. Luo, Qiuju & Zhong, Dixi, 2015. "Using social network analysis to explain communication characteristics of travel-related electronic word-of-mouth on social networking sites," Tourism Management, Elsevier, vol. 46(C), pages 274-282.
    20. Shan-Shan Liao & Ching-Yuan Lin & Ying-Ji Chuang & Xing-Zheng Xie, 2020. "The Role of Social Capital for Short-Video Platform Users’ Travel Intentions: SEM and Fsqca Findings," Sustainability, MDPI, vol. 12(9), pages 1-22, May.

    More about this item

    Keywords

    cultural values; eWOM; social media; social relationship variables;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rse:wpaper:v:25:y:2023:i:1:p:52-65. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Manuela Epure (email available below). General contact details of provider: https://edirc.repec.org/data/pgsaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.