COMPARISON OF AIRLINE DESTINATIONS IN TERMS OF ONLINE CONSUMER BEHAVIORS USING MULTI DIMENSIONAL SCALE ANALYSIS

Year 2017, , 891 - 899, 30.06.2017

Bahri Baran Kocak , Ozlem Atalik , Cem Burak Kocak

https://doi.org/10.17261/Pressacademia.2017.671

Abstract

With digital
media becoming an important position in mass communication, information is
shared and spread to those who use this media. Twitter in digital media is one
of the most popular social media platforms that has come up with the
combination of social network sites and blogs, with millions of members and the
ability to share and spread information quickly. Sharing of information via
electronic word of mouth (e-WOM) is one of the important issues that attract
the attention of marketers. In this respect, this behavior of social media
users is very important in sharing information by sharing, retweeting or liking
of any posts on Twitter, as it is displayed by other users on their friends
list. This study aims to find out the location of each
destination according to the share, retweet, likes and reasons for
reccommendation of users by looking at the destinations that are shared by
Turkish Airlines (THY) on Twitter in 2016. The study will reveal how our
country is in relation to other destinations and the tendency of Turks to other
destinations to be seen in concrete terms. By using multidimensional scaling
analysis, the locations of Turkey and other destinations can be displayed and
evaluated in two dimensional space.

 

Keywords

Social media, E-Wom, Twitter, share, retweet, favorite, online consumer behavior

References

• Asur, S ve Huberman, B. A. (2010, August). Predicting The Future With Social Media. In Web Intelligence And Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference On (Vol. 1, Ss. 492-499). IEEE.
• Berthon P. R., Pitt L ve Campbell C. (2008). When Customers Create The Ad. California Management Review. 50(4), 6–30.
• Borg, I ve Groenen, P. J. (2005). Modern Multidimensional Scaling: Theory And Asslications. Springer Science & Business Media.
• Boyd, D., Golder, S ve Lotan, G. (2010, January). Tweet, Tweet, Retweet: Conversational Aspects Of Retweeting On Twitter. In System Sciences (HICSS), 2010 43rd Hawaii International Conference On (Ss. 1-10). IEEE.
• Busing, F. M. T. A., Commandeur, J. J., Heiser, W. J., Bandilla, W ve Faulbaum, F. (1997). PROXSCAL: A Multidimensional Scaling Program For İndividual Differences Scaling With Constraints. Softstat, 97, 67-74.
• Bülbül, S ve Köse, A. (2010). Türkiye’de Bölgelerarası İç Göç Hareketlerinin Çok Boyutlu Ölçekleme Yöntemi İle İncelenmesi. İstanbul Üniversitesi İşletme Fakültesi Dergisi, 39(1), 75-94.
• Heinonen, K. (2011). Consumer Activity İn Social Media: Managerial Assroaches To Consumers' Social Media Behavior. Journal Of Consumer Behaviour, 10(6), 356-364.
• Kalaycı, Ş. (2005). SPSS Uygulamalı Çok Değişkenli İstatistiksel Teknikleri. Asil Yayın Dağıtım Ltd: İstanbul, Ss.379-396.
• Hair, J.F. Anderson, R.E., Tatham, R. L ve W. C. (1998). Black, Multivariate Data Analysis. Fifth Edition, Prentice-Hall Inc: USA. Ss.536-539.
• Kaplan, A. M ve Haenlein, M. (2010). Users Of The World, Unite! The Challenges And Ossortunities Of Social Media. Business Horizons, 53(1), 59-68.
• Köksal, Y ve ÖZDEMİR, Ş. (2013). Bir İletişim Aracı Olarak Sosyal Medya'nın Tutundurma Karması İçerisindeki Yeri Üzerine Bir İnceleme. Süleyman Demirel Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, 18(1).
• Kruskal, J. B. (1964). Multidimensional Scaling By Optimizing Goodness Of Fit To A Nonmetric Hypothesis. Psychometrika, 29(1), 1-27.
• Mangold, W. G ve Faulds, D. J. (2009). Social Media: The New Hybrid Element Of The Promotion Mix. Business Horizons, 52(4), 357-365.
• Oğuzlar, A. (2005b), “Çok Boyutlu Ölçekleme Analizi Yardımıyla Avrupa Birliği Üyeliğini Etkileyen Faktörlerin Konumlandırılması”, Uludağ Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, 24(1), S. 33–43.
• Tüzüntürk, S. (2009). Çok Boyutlu Ölçekleme Analizi: Suç İstatistikleri Üzerine Bir Uygulama. Uludağ Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, 28(2), 71-91.
• VURAL, Z. B. A ve Batb, M. (2010). Yeni Bir İletişim Ortamı Olarak Sosyal Medya: Ege Üniversitesi İletişim Fakültesine Yönelik Bir Araştırma Socıal Medıa As A New Communıcatıon Envıronment: A Research On Ege Unıversıty Faculty Of Communıcatıon. Journal Of Yasar Uni
• Whiting, A. ve Williams, D. (2013). Why people use social media: a uses and gratifications approach. Qualitative Market Research: An International Journal, 16(4), 362-369.