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Dergiler / EKEV Akademi Dergisi / 2013 / Cilt: 0 - Sayı: 57

SEGMENTING EWOM ENGAGERS ON ONLINE SOCIAL NETWORKS BASED ON PERSONAL CHARACTERISTICS AND BEHAVIOUR

Ayşegül SAĞKAYA GÜNGÖR
Tuğçe Ozansoy ÇADIRCI
Sayfa
33–50
Yayın Tarihi
2013-11-29
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

At the end, we defined four segments: viral producers, active communicators, average participators, passive communicators.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:The evolution of the Internet has extended consumers’ options for communicating their opinions or experiences without any company filters by engaging in electronic word of mouth (eWOM).
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Temel Bulgular & Veri:With a sample size of 244, we conducted an online survey.
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Sonuç & Katkı:At the end, we defined four segments: viral producers, active communicators, average participators, passive communicators.
🔬Tür:Uygulamalı Anket & Alan Araştırması
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:electronic word of mouth · eWOM · online social networks

Özet

The evolution of the Internet has extended consumers’ options for communicating their opinions or experiences without any company filters by engaging in electronic word of mouth (eWOM). One of the mediums in which eWOM is effectively disseminated to multitude of people is online social networks (SNSs). SNSs are different from other channels of eWOM, because of their unique characteristic; source trustworthiness. The received information is from a person which is accepted as contact with the consent of the person. In this study, we tried to understand the eWOM engagers on SNSs by personal characteristics and SNS usage behaviour based segmentation. With a sample size of 244, we conducted an online survey. Data was analyzed by factor analysis first. Then, the factor scores were entered in a cluster analysis using a combined hierarchical and non-hierarchical method. At the end, we defined four segments: viral producers, active communicators, average participators, passive communicators.

Abstract

The evolution of the Internet has extended consumers’ options for communicating their opinions or experiences without any company filters by engaging in electronic word of mouth (eWOM). One of the mediums in which eWOM is effectively disseminated to multitude of people is online social networks (SNSs). SNSs are different from other channels of eWOM, because of their unique characteristic; source trustworthiness. The received information is from a person which is accepted as contact with the consent of the person. In this study, we tried to understand the eWOM engagers on SNSs by personal characteristics and SNS usage behaviour based segmentation. With a sample size of 244, we conducted an online survey. Data was analyzed by factor analysis first. Then, the factor scores were entered in a cluster analysis using a combined hierarchical and non-hierarchical method. At the end, we defined four segments: viral producers, active communicators, average participators, passive communicators.

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Bu Makaleye Atıf Yap

GÜNGÖR, A. S., ÇADIRCI, T. O. (2013). SEGMENTING EWOM ENGAGERS ON ONLINE SOCIAL NETWORKS BASED ON PERSONAL CHARACTERISTICS AND BEHAVIOUR. EKEV Akademi Dergisi, Cilt: 0 - Sayı: 57, 33–50. https://ajindex.com/articles/716027

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Kaynakça (14)

  1. Alarcón-del-Amo, M. C., Lorenzo-Romero, C. and Gomez-Borja, M. A. (2011) ‘Classifiying and profiling social networking site users: A latent segmentation approach”, Cyberpsychology, Behavior, and Social Networking, Vol. 14 No. 19, pp. 547-53.
  2. Amichai-Hamburger, Y., Kaynar, O., and Fine, A. (2007) ‘The effects of need for cognition on Internet use”, Computers in Human Behavior, Vol.23 No.1, pp. 880-91.
  3. Bearden, W.O. and Rose, R.L. (1990) ‘Attention to social comparison information: an individual difference factor affecting consumer conformity”, Journal of Consumer Research, Vol. 16 No.4, pp. 461–471.
  4. Boyd, D. M. and Ellison, N. B. (2008) ‘Social network sites: Definition, history and scholarship”, Journal of Computer-Mediated Communication, Vol. 13, pp. 210- 30. Cacioppo, J.T. and Petty, R.E. (1982) “The Need for Cognition”, Journal of Personality and Social Psychology, Vol.42 No.1, pp.116-31.
  5. Chu, S.C. and Kim, Y. (2011) ‘Determinants of consumer engagement in electronic word-of-mouth (eWOM) in social networking sites”, International Journal of Advertising, Vol.30 No.1, pp.47-75.
  6. Cohen, A.R., Stotland, E., and Wolfe, D.M. (1955) “An experimental investigation of need for cognition”, Journal of Abnormal and Social Psychology, Vol.51, No.2, pp.291-4.
  7. Cohen, J.B. and Golden, E. (1972). ‘Informational social influence and product evaluation”, Journal of Allied Psychology, Vol. 56, pp. 54–59.
  8. Dellarocas, C. and Narayan, R. (2006) ‘A statistical measure of a population’s propensity to engage in post-purchase online word-of-mouth”, Statistical Science, Vol.21 No.2, pp.277-285.
  9. Engel, J.F., Blackwell, R.D. and Miniard, P.W. (1993) Consumer Behavior, 8th ed., Fort Worth: Dryden-Press.
  10. Feick, L., Price, L.L. (1987) ‘The Market Maven: A Diffuser of Marketplace Information”, Journal of Marketing, Vol.51 No.1, pp.83-97
  11. Fragoso, S. (2006) ‘WTF a crazy Brazilian invasion”, in Sudweeks, F. and Hrachovec, H. (Eds.), Proceedings of CATac 2006,
  12. Murdoch University, Murdoch, Australia. Foster, M.K., Francescucci, A. and West, B.C. (2010). ‘Why Users Participate in Online Social Networks”, International Joıurnal of eBusiness Management, Vol.4 No.1, pp.3-19.
  13. Gajjala, R. (2007) ‘Shifting frame: race, ethnicity, and intercultural communications in online social networking and virtual work”, in Hinner, M.B. (Eds.), The Role of Communication in Business Transactions and Relationships, Peter Lang, New York, pp. 257-76.
  14. Geidner, N.W., Flook, C. A. and Bell, M.W. (2007) ‘Masculinity an