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Cultural differences in processing online customer reviews: holistic versus analytic thinkers

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Listed:
  • Benedikt M. Brand

    (University of Bayreuth)

  • Cristopher Siegfried Kopplin

    (University of Bayreuth)

  • Theresa Maria Rausch

    (University of Bayreuth)

Abstract

While the majority of studies exploring online customer reviews in the light of intercultural comparisons draw on the theoretical framework of Hofstede’s cultural dimensions, which faced justifiable criticism, we make use of Socio-Cognitive Systems Theory to illustrate how consumers from different cultures are cognitively processing information. By employing this alternative theory, it is shown that the (heretofore established) Elaboration Likelihood Model for examining online customer reviews does not serve as an applicable framework in intercultural contexts. Reviewing extant literature, we uncover incidents questioning the generalizability of previous studies on review credibility conducted among East Asians. Building upon a research model established at a national level, we interviewed Western (German; n=552) and East Asian (Chinese; n=585) consumers to analyze the intercultural appropriateness of the model. The results empirically validate the assumptions of the Socio-Cognitive Systems Theory, and thus, finds Chinese to perceive review credibility holistically, whereas Germans tend to categorize its antecedents for evaluating them separately.

Suggested Citation

  • Benedikt M. Brand & Cristopher Siegfried Kopplin & Theresa Maria Rausch, 2022. "Cultural differences in processing online customer reviews: holistic versus analytic thinkers," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1039-1060, September.
    • Handle: RePEc:spr:elmark:v:32:y:2022:i:3:d:10.1007_s12525-022-00543-1
    DOI: 10.1007/s12525-022-00543-1
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    1. Kaushik, Kapil & Mishra, Rajhans & Rana, Nripendra P. & Dwivedi, Yogesh K., 2018. "Exploring reviews and review sequences on e-commerce platform: A study of helpful reviews on Amazon.in," Journal of Retailing and Consumer Services, Elsevier, vol. 45(C), pages 21-32.
    2. Cheng, Yi-Hsiu & Ho, Hui-Yi, 2015. "Social influence's impact on reader perceptions of online reviews," Journal of Business Research, Elsevier, vol. 68(4), pages 883-887.
    3. Kim, Jong Min & Jun, Mina & Kim, Chung K., 2018. "The Effects of Culture on Consumers' Consumption and Generation of Online Reviews," Journal of Interactive Marketing, Elsevier, vol. 43(C), pages 134-150.
    4. Obal, Michael & Kunz, Werner, 2016. "Cross-cultural differences in uses of online experts," Journal of Business Research, Elsevier, vol. 69(3), pages 1148-1156.
    5. Sarstedt, Marko & Hair, Joseph F. & Cheah, Jun-Hwa & Becker, Jan-Michael & Ringle, Christian M., 2019. "How to specify, estimate, and validate higher-order constructs in PLS-SEM," Australasian marketing journal, Elsevier, vol. 27(3), pages 197-211.
    6. Umair Akram & Muhammad Kaleem Khan & Peng Hui & Yasir Tanveer & Zubair Akram, 2018. "Development of E-Commerce: Factors Influencing Online Impulse Shopping in China," Journal of Electronic Commerce in Organizations (JECO), IGI Global, vol. 16(2), pages 29-47, April.
    7. Filieri, Raffaele, 2015. "What makes online reviews helpful? A diagnosticity-adoption framework to explain informational and normative influences in e-WOM," Journal of Business Research, Elsevier, vol. 68(6), pages 1261-1270.
    8. Zhuang, Mengzhou & Cui, Geng & Peng, Ling, 2018. "Manufactured opinions: The effect of manipulating online product reviews," Journal of Business Research, Elsevier, vol. 87(C), pages 24-35.
    9. Zablocki, Agnieszka & Makri, Katerina & Houston, Michael J., 2019. "Emotions Within Online Reviews and their Influence on Product Attitudes in Austria, USA and Thailand," Journal of Interactive Marketing, Elsevier, vol. 46(C), pages 20-39.
    10. Christopher P. Furner & Robert A. Zinko, 2017. "The influence of information overload on the development of trust and purchase intention based on online product reviews in a mobile vs. web environment: an empirical investigation," Electronic Markets, Springer;IIM University of St. Gallen, vol. 27(3), pages 211-224, August.
    11. Robert Zinko & Paul Stolk & Zhan Furner & Brad Almond, 2020. "A picture is worth a thousand words: how images influence information quality and information load in online reviews," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(4), pages 775-789, December.
    12. Kostyra, Daniel S. & Reiner, Jochen & Natter, Martin & Klapper, Daniel, 2016. "Decomposing the effects of online customer reviews on brand, price, and product attributes," International Journal of Research in Marketing, Elsevier, vol. 33(1), pages 11-26.
    13. Luo, Chuan & Wu, Jing & Shi, Yani & Xu, Yun, 2014. "The effects of individualism–collectivism cultural orientation on eWOM information," International Journal of Information Management, Elsevier, vol. 34(4), pages 446-456.
    14. Bin Gu & Jaehong Park & Prabhudev Konana, 2012. "Research Note ---The Impact of External Word-of-Mouth Sources on Retailer Sales of High-Involvement Products," Information Systems Research, INFORMS, vol. 23(1), pages 182-196, March.
    15. Wang, Yichuan & Herrando, Carolina, 2019. "Does privacy assurance on social commerce sites matter to millennials?," International Journal of Information Management, Elsevier, vol. 44(C), pages 164-177.
    16. M. Awais Shakir Goraya & Zhu Jing & Mahmud Akhter Shareef & Muhammad Imran & Aneela Malik & M. Shakaib Akram, 2021. "An investigation of the drivers of social commerce and e-word-of-mouth intentions: Elucidating the role of social commerce in E-business," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(1), pages 181-195, March.
    17. Streukens, Sandra & Leroi-Werelds, Sara, 2016. "Bootstrapping and PLS-SEM: A step-by-step guide to get more out of your bootstrap results," European Management Journal, Elsevier, vol. 34(6), pages 618-632.
    18. Fong, John & Burton, Suzan, 2008. "A cross-cultural comparison of electronic word-of-mouth and country-of-origin effects," Journal of Business Research, Elsevier, vol. 61(3), pages 233-242, March.
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    Cited by:

    1. Rainer Alt, 2022. "Electronic Markets on platform culture," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1019-1031, September.

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    More about this item

    Keywords

    Online customer reviews; Socio-Cognitive Systems Theory; Intercultural comparison; Elaboration Likelihood Model;
    All these keywords.

    JEL classification:

    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

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