IDEAS home Printed from https://ideas.repec.org/a/eee/joreco/v48y2019icp144-153.html
   My bibliography  Save this article

Online fashion shopping paradox: The role of customer reviews and facebook marketing

Author

Listed:
  • Kawaf, Fatema
  • Istanbulluoglu, Doga

Abstract

The paper aims to investigate the relevance of social media marketing, particularly customer reviews and Facebook pages in online fashion shopping. This qualitative study adopts Personal Construct Theory and employs the repertory grid to investigate the question: ‘how do online fashion shoppers construct the relevance of social media marketing activities in their online shopping experience? Analysis of 25 repertory grid interviews reveal insights that challenge current understanding of the role and relevance of customer reviews and Facebook pages in online fashion shopping. The research contributes novel insights into the rising desire of individuality and the increasing lack of sociality on social media.

Suggested Citation

  • Kawaf, Fatema & Istanbulluoglu, Doga, 2019. "Online fashion shopping paradox: The role of customer reviews and facebook marketing," Journal of Retailing and Consumer Services, Elsevier, vol. 48(C), pages 144-153.
  • Handle: RePEc:eee:joreco:v:48:y:2019:i:c:p:144-153
    DOI: 10.1016/j.jretconser.2019.02.017
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0969698918304648
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jretconser.2019.02.017?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Chen, Yubo & Fay, Scott & Wang, Qi, 2011. "The Role of Marketing in Social Media: How Online Consumer Reviews Evolve," Journal of Interactive Marketing, Elsevier, vol. 25(2), pages 85-94.
    2. Pitt, Leyland F. & Berthon, Pierre R. & Watson, Richard T. & Zinkhan, George M., 2002. "The Internet and the birth of real consumer power," Business Horizons, Elsevier, vol. 45(4), pages 7-14.
    3. 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.
    4. Purnawirawan, Nathalia & Eisend, Martin & De Pelsmacker, Patrick & Dens, Nathalie, 2015. "A Meta-analytic Investigation of the Role of Valence in Online Reviews," Journal of Interactive Marketing, Elsevier, vol. 31(C), pages 17-27.
    5. Bernd Frick & Daniel Kaimann, 2017. "The impact of customer reviews and advertisement efforts on the performance of experience goods in electronic markets," Applied Economics Letters, Taylor & Francis Journals, vol. 24(17), pages 1237-1240, October.
    6. Tan, Huimin & Lv, Xingyang & Liu, Xiaoyan & Gursoy, Dogan, 2018. "Evaluation nudge: Effect of evaluation mode of online customer reviews on consumers’ preferences," Tourism Management, Elsevier, vol. 65(C), pages 29-40.
    7. Hollenbeck, Candice R. & Kaikati, Andrew M., 2012. "Consumers' use of brands to reflect their actual and ideal selves on Facebook," International Journal of Research in Marketing, Elsevier, vol. 29(4), pages 395-405.
    8. Li, Zhan G. & Gery, Nurit, 2000. "E-tailing--For all products?," Business Horizons, Elsevier, vol. 43(6), pages 49-54.
    9. Felbermayr, Armin & Nanopoulos, Alexandros, 2016. "The Role of Emotions for the Perceived Usefulness in Online Customer Reviews," Journal of Interactive Marketing, Elsevier, vol. 36(C), pages 60-76.
    10. McCracken, Grant, 1986. "Culture and Consumption: A Theoretical Account of the Structure and Movement of the Cultural Meaning of Consumer Goods," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 13(1), pages 71-84, June.
    11. Wu, Yinglu & Wu, Jianan, 2016. "The Impact of User Review Volume on Consumers' Willingness-to-Pay: A Consumer Uncertainty Perspective," Journal of Interactive Marketing, Elsevier, vol. 33(C), pages 43-56.
    12. Ann E. Schlosser, 2005. "Posting versus Lurking: Communicating in a Multiple Audience Context," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 32(2), pages 260-265, September.
    13. David Godes & Dina Mayzlin, 2004. "Using Online Conversations to Study Word-of-Mouth Communication," Marketing Science, INFORMS, vol. 23(4), pages 545-560, June.
    14. Gretry, Anaïs & Horváth, Csilla & Belei, Nina & van Riel, Allard C.R., 2017. "“Don't pretend to be my friend!” When an informal brand communication style backfires on social media," Journal of Business Research, Elsevier, vol. 74(C), pages 77-89.
    15. Smith, Andrew N. & Fischer, Eileen & Yongjian, Chen, 2012. "How Does Brand-related User-generated Content Differ across YouTube, Facebook, and Twitter?," Journal of Interactive Marketing, Elsevier, vol. 26(2), pages 102-113.
    16. Casaló, Luis V. & Flavián, Carlos & Guinalíu, Miguel & Ekinci, Yuksel, 2015. "Avoiding the dark side of positive online consumer reviews: Enhancing reviews' usefulness for high risk-averse travelers," Journal of Business Research, Elsevier, vol. 68(9), pages 1829-1835.
    17. Kim, Junyong & Gupta, Pranjal, 2012. "Emotional expressions in online user reviews: How they influence consumers' product evaluations," Journal of Business Research, Elsevier, vol. 65(7), pages 985-992.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. En-Gir Kim & Se-Hak Chun, 2019. "Analyzing Online Car Reviews Using Text Mining," Sustainability, MDPI, vol. 11(6), pages 1-22, March.
    2. Xue, Zhebin & Li, Qing & Zeng, Xianyi, 2023. "Social media user behavior analysis applied to the fashion and apparel industry in the big data era," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    3. Huang, Yu & Zhang, Xu & Zhu, Hong, 2022. "How do customers engage in social media-based brand communities: The moderator role of the brand's country of origin?," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    4. Wang, Jiawei, 2023. "The relationship between loneliness and consumer shopping channel choice: Evidence from China," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    5. Fernandes, Semila & Panda, Rajesh & Venkatesh, V.G. & Swar, Biranchi Narayan & Shi, Yangyan, 2022. "Measuring the impact of online reviews on consumer purchase decisions – A scale development study," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    6. Odukorede Odunaiya & Mary Agoyi & Oseyenbhin Sunday Osemeahon, 2020. "Social TV Engagement for Increasing and Sustaining Social TV Viewers," Sustainability, MDPI, vol. 12(12), pages 1-11, June.
    7. Supratim Kundu & Swapnajit Chakraborti, 2022. "A comparative study of online consumer reviews of Apple iPhone across Amazon, Twitter and MouthShut platforms," Electronic Commerce Research, Springer, vol. 22(3), pages 925-950, September.
    8. Alzate, Miriam & Arce-Urriza, Marta & Cebollada, Javier, 2022. "Mining the text of online consumer reviews to analyze brand image and brand positioning," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
    9. Aversa, Joseph & Jacobson, Jenna & Hernandez, Tony & Cleave, Evan & Macdonald, Michael & Dizonno, Stephanie, 2021. "The social media response to the rollout of legalized cannabis retail in Ontario, Canada," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).

    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. Agnieszka Zablocki & Bodo Schlegelmilch & Michael J. Houston, 2019. "How valence, volume and variance of online reviews influence brand attitudes," AMS Review, Springer;Academy of Marketing Science, vol. 9(1), pages 61-77, June.
    2. Ismagilova, Elvira & Dwivedi, Yogesh K. & Slade, Emma, 2020. "Perceived helpfulness of eWOM: Emotions, fairness and rationality," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    3. Chan, Haksin & Yang, Morgan X. & Zeng, Kevin J., 2022. "Bolstering ratings and reviews systems on multi-sided platforms: A co-creation perspective," Journal of Business Research, Elsevier, vol. 139(C), pages 208-217.
    4. Ana Babić Rosario & Kristine Valck & Francesca Sotgiu, 2020. "Conceptualizing the electronic word-of-mouth process: What we know and need to know about eWOM creation, exposure, and evaluation," Journal of the Academy of Marketing Science, Springer, vol. 48(3), pages 422-448, May.
    5. Alberto Lopez & Eva Guerra & Beatriz Gonzalez & Sergio Madero, 2020. "Consumer sentiments toward brands: the interaction effect between brand personality and sentiments on electronic word of mouth," Journal of Marketing Analytics, Palgrave Macmillan, vol. 8(4), pages 203-223, December.
    6. Roma, Paolo & Aloini, Davide, 2019. "How does brand-related user-generated content differ across social media? Evidence reloaded," Journal of Business Research, Elsevier, vol. 96(C), pages 322-339.
    7. Liye Ma & Baohong Sun & Sunder Kekre, 2015. "The Squeaky Wheel Gets the Grease—An Empirical Analysis of Customer Voice and Firm Intervention on Twitter," Marketing Science, INFORMS, vol. 34(5), pages 627-645, September.
    8. Floyd, Kristopher & Freling, Ryan & Alhoqail, Saad & Cho, Hyun Young & Freling, Traci, 2014. "How Online Product Reviews Affect Retail Sales: A Meta-analysis," Journal of Retailing, Elsevier, vol. 90(2), pages 217-232.
    9. Zheng, Lili, 2021. "The classification of online consumer reviews: A systematic literature review and integrative framework," Journal of Business Research, Elsevier, vol. 135(C), pages 226-251.
    10. Colmekcioglu, Nazan & Marvi, Reza & Foroudi, Pantea & Okumus, Fevzi, 2022. "Generation, susceptibility, and response regarding negativity: An in-depth analysis on negative online reviews," Journal of Business Research, Elsevier, vol. 153(C), pages 235-250.
    11. Liu, Angela Xia & Xie, Ying & Zhang, Jurui, 2019. "It's Not Just What You Say, But How You Say It: The Effect of Language Style Matching on Perceived Quality of Consumer Reviews," Journal of Interactive Marketing, Elsevier, vol. 46(C), pages 70-86.
    12. 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.
    13. Gobinda Roy & Biplab Datta & Rituparna Basu, 2017. "Effect of eWOM Valence on Online Retail Sales," Global Business Review, International Management Institute, vol. 18(1), pages 198-209, February.
    14. Vilnai-Yavetz, Iris & Tifferet, Sigal, 2015. "A Picture Is Worth a Thousand Words: Segmenting Consumers by Facebook Profile Images," Journal of Interactive Marketing, Elsevier, vol. 32(C), pages 53-69.
    15. Diwanji, Vaibhav S. & Cortese, Juliann, 2020. "Contrasting user generated videos versus brand generated videos in ecommerce," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    16. Román, Sergio & Riquelme, Isabel P. & Iacobucci, Dawn, 2023. "Fake or credible? Antecedents and consequences of perceived credibility in exaggerated online reviews," Journal of Business Research, Elsevier, vol. 156(C).
    17. Gerrath, Maximilian H.E.E. & Usrey, Bryan, 2021. "The impact of influencer motives and commonness perceptions on follower reactions toward incentivized reviews," International Journal of Research in Marketing, Elsevier, vol. 38(3), pages 531-548.
    18. Yani Wang & Jun Wang & Tang Yao, 2019. "What makes a helpful online review? A meta-analysis of review characteristics," Electronic Commerce Research, Springer, vol. 19(2), pages 257-284, June.
    19. Pauwels, Koen & Aksehirli, Zeynep & Lackman, Andrew, 2016. "Like the ad or the brand? Marketing stimulates different electronic word-of-mouth content to drive online and offline performance," International Journal of Research in Marketing, Elsevier, vol. 33(3), pages 639-655.
    20. Guha Majumder, Madhumita & Dutta Gupta, Sangita & Paul, Justin, 2022. "Perceived usefulness of online customer reviews: A review mining approach using machine learning & exploratory data analysis," Journal of Business Research, Elsevier, vol. 150(C), pages 147-164.

    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:eee:joreco:v:48:y:2019:i:c:p:144-153. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-retailing-and-consumer-services .

    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.