Journals / Pazarlama ve Pazarlama Araştırmaları Dergisi / 2019 / Cilt: 12 - Sayı: 24

WHO IS ENGAGED IN E-WOM? ROLE OF E-LOYALTY, DEMOGRAPHICS, VISIT FREQUENCY AND PRODUCT CATEGORY

Pages
207–233
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Finally, findings also revealed that the less the consumers visited online e-retailers, the less these eWOM behaviors were displayed.

📌 3 Key Takeaways

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Objective & Hypothesis:Consumers tend to share their post-purchase experiences (WOM- Words of Mouth) with others regardless of whether the experiences are positive or negative.
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Key Findings & Data:A total of 296 individuals were accessed beginning from January 2019 to February 2019 through online convenience sampling.
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Conclusion & Impact:Finally, findings also revealed that the less the consumers visited online e-retailers, the less these eWOM behaviors were displayed.
🔬Design:Modeling & Simulation
📍Scope:2019 Verileri
⚙️Variables:Domain Parameters

Özet

Consumers tend to share their post-purchase experiences (WOM- Words of Mouth) with others regardless of whether the experiences are positive or negative. With the advancement of internet technology, WOM behavior has shifted to online platforms (eWOM) and eWOM has become an extremely effective way of communication. The main purpose of this study is to unveil the antecedents of eWOM behavior. In this respect, the role of e-loyalty in addition to demographics and other relevant factors such as e-retailer visit frequency and consumer’s mostly purchased product online in eWOM behavior was examined. A total of 296 individuals were accessed beginning from January 2019 to February 2019 through online convenience sampling. IBM SPSS 22 statistical software was used and multiple regression models was applied. The independent variables were able to explain the eWOM behavior with a R2 value of.42. Compared to participants who belonged to 36-45 age group, younger participants were less likely engaged in eWOM behavior. Consumers who mostly purchased books, CDs, and electronic goods were more likely engaged in eWOM behavior, compared to consumers making apparel purchases online. Finally, findings also revealed that the less the consumers visited online e-retailers, the less these eWOM behaviors were displayed.

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Cite This Article

AYDOĞAN, S., AKTAN, M. (2019). WHO IS ENGAGED IN E-WOM? ROLE OF E-LOYALTY, DEMOGRAPHICS, VISIT FREQUENCY AND PRODUCT CATEGORY. Pazarlama ve Pazarlama Araştırmaları Dergisi, Cilt: 12 - Sayı: 24, 207–233. https://ajindex.com/articles/285740

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References (12)

  1. Al M., A. M. and Mirza, A. A. (2013). The Impact of Electronic Word of Mouth on Consumers’ Purchasing Decisions. International Journal of Computer Applications, 82(9): 24-28.
  2. Alexandrov, A., Lilly, B. and Babakus, E. (2013). The Effects of Social- And Self-Motives on The Intentions To Share Positive And Negative Word of Mouth. Journal of the Academy of Marketing Science, 41(5): 531- 546. Anastasiei, B., and Dospinescu, N. (2019). Electronic Word-of-Mouth for Online Retailers: Predictors of Volume and Valence. Journal of Sustainability 11(3): 814-815.
  3. Arndt, J. (1967a). Role of Product-Related Conversations in the Diffusion of a New Product. Journal of Marketing Research, 4(3): 291-295.
  4. Bhandari, M., and Rodgers, S. (2018). What Does the Brand Say? Effects of Brand Feedback to Negative E-wom on Brand Trust and Purchase Intentions. International Journal of Advertising-The Review of Marketing Communications, 37(1): 127-129.
  5. Bansal, H.S. and P. Voyer. (2000). Word-of-Mouth Processes Within A Services Purchase Decision Context. Journal of Service Research, 3(2): 166-77. Beyari,H., and Ghouth, A. (2018). Customer Experience in Social Commerce Websites: Toward an Integrated Conceptual Framework. Journal of Management Research, 10(3): 54-56.
  6. Bickart, B. and Schindler, R. M. (2001). Internet Forums as Influential Sources of Consumer Information. Journal of Interactive Marketing, 15(3): 31-40.
  7. Bone, P.F. (1995). Word-of-Mouth Effects on Short-Term and Long-Term Product Judgment. Journal of Business Research, 32(3): 213-223.
  8. Brown, Jacqueline J. and Reingen, Peter H. (1987). Social Ties and Word-ofMouth Referral Behavior. Journal of Consumer Research, 14(3): 350- 362. Brown, J.; Broderick, A. J. and Lee, N. (2007). Word of Mouth Communication Within Online Communities: Conceptualizing the Online Social Network. Journal of Interactive Marketing, 21(3): 2-20.
  9. Buttle, F.A. (1998). Word of Mouth: Understanding and Managing Referral Marketing. Journal of Strategic Marketing, 6(3): 241-254.
  10. Bauer, H., Grether, M. and Leach, M. (2002), Building Customer Relations Over the Internet. Industrial Marketing Management; 31(2): 155-163.
  11. Blackshaw, P. and Nazzaro, M. (2006). Consumer-Generated Media (CGM) 101: Word-of-Mouth in the Age of the Web-Fortified Consumer. Nielsen Buzz Metrics, (http://www.nielsenonline.com/downloads/us/buzz/nbzm_wp_CGM101).
  12. Bozbay, Z., Yaman, Y. and Özkan, E. (2016). İnternet Perakendeciliğinde Hizmet Kalitesinin Müşteri Memnuniyeti Üzerindeki Rolü: Hazır