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TÜKETİCİLERİN MOBİL UYGULAMA TERCİHİNDE GÖRSEL ÖĞELERİN ETKİSİ

Year 2016, , 360 - 376, 01.06.2016
https://doi.org/10.17261/Pressacademia.2016118656

Abstract

Günümüzde kullanımı hızla yaygınlaşmakta olan mobil cihazlar ve ilgili hizmetler hem pazarlama akademisyenlerinin ve profesyonellerinin hem de girişimcilerin ilgisini çekmektedir. Mobil cihazlar üzerinde çalışan mobil uygulamalar birer hizmet ürünü veya ürünleri zenginleştirici öğeler olarak pazara sunulmaktadır. Tüketicilerin uygulama tercihinde etkili olan faktörler içerisinde yer alan görsel öğeler arasında ikonlar öne çıkmaktadır. Bu çalışmada ikonların görsel ve bilişsel öğeleri renk, simetri, karmaşıklık, somutluk, anlamlı olma ve aşinalık alt boyutlarıyla incelenmiştir. Mahrabian ve Russell tarafından geliştirilen PAD modelinden faydalanılarak ikonların niteliklerinin duygu durumlarına ve uygulama indirme niyetine etkisi sınanmıştır. Tüketici algıları Internet üzerinden yoklama yöntemi yardımıyla ölçülmüş ve her bir faktörün uygulama indirilme niyetine etkisi yapısal eşitlik modellemesinden faydalanılarak belirlenmiştir. Bu faktörlere ek olarak uygulamanın estetik öğelerinin ilk izlenimle oluşan algılanan kaliteye etkisi de sınanmıştır. Bu araştırmayla mobil uygulamaların başarısında rol oynayan görsel unsurların belirlenerek uygulama geliştiricilerin tasarımlarını iyileştirmelerini sağlayacak sonuçlar elde edilmesi ve Türkiye’deki ileri araştırmalara yol gösterilmesi hedeflenmiştir

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VISUAL ELEMENTS’ EFFECT ON MOBILE APPLICATION PREFERENCE

Year 2016, , 360 - 376, 01.06.2016
https://doi.org/10.17261/Pressacademia.2016118656

Abstract

Mobile devices and related services are attracting the interest of both marketing academicians and professionals as well as entrepreneurs. Mobile applications (apps) that work on these devices are promoted as individual service products or as supplementary services. In this context, this study aims to reveal the effect of visual elements in mobile app choice using app icons, the primary visual elements affecting consumer choice. The icons provide the first impression and are considered as the most frequently seen visual elements of apps. The visual and cognitive elements; color, symmetry, complexity, concreteness, familiarity and meaningfulness dimensions are used as icon characteristics. By utilizing the PAD model developed by Mahrabian and Russell, the effect of icon characteristics on users’ dispositions and on download intentions was tested. Moreover, the effect of visual icon attributes on perceived quality was tested using the data collected through an online survey study. The analysis was carried out using structural equation modelling. This study aims to enable mobile app developers in improving their designs by revealing the effect of various visual elements on consumers’ mobile app download intentions and expected to pioneer further studies in Turkey

References

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  • Computer Science içinde (C. 5610 LNCS, ss. 559–568). doi:10.1007/978-3-642-02574-7_63
  • App Annie & MEF. (2014). Emerging Markets and Growth in the Global App Economy.
  • Baisya, R. K. ve Das, G. G. (2008). Aesthetics In Marketing. Thousand Oaks: Sage Publications, Inc.
  • Bauerly, M. ve Liu, Y. (2006). Computational modeling and experimental investigation of effects of compositional elements on interface and design aesthetics. Int. J. Hum.-Comput. Stud., 64(8), 670–682.
  • Boyatzis, C. J. ve Varghese, R. (1994). Children’s emotional associations with colors. The Journal of genetic psychology. doi:10.1080/00221325.1994.9914760
  • Burdge, B. (2014). New Research Shows Mobile Dominates Desktops. MovableInk. http://blog.movableink.com/new-research-shows- mobile-dominates-desktops-with-65-of-total-email-opens-in-q4-2013/ adresinden erişildi.
  • Cai, S. ve Xu, Y. (2011). Designing Not Just for Pleasure: Effects of Web Site Aesthetics on Consumer Shopping Value. International Journal of Electronic Commerce, 15(4), 159–188. doi:10.2753/JEC1086-4415150405
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  • Chaudhari, A. (2015). Mobile Applications Market to Soar. Research, Transparency Market. 17 Eylül 2015 tarihinde http://www.transparencymarketresearch.com/pressrelease/mobile-applications-market.htm adresinden erişildi.
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  • Research, 60(3), 189–196. doi:10.1016/j.jbusres.2006.11.003
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  • ComScore. (2014). The US Mobile App Report.
  • Countryman, C. C. ve Jang, S. (2006). The effects of atmospheric elements on customer impression: the case of hotel lobbies. International
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  • Creusen, M. E. H., Veryzer, R. W. ve Schoormans, J. P. L. (2010). Product value importance and consumer preference for visual complexity and symmetry. European Journal of Marketing, 44(9/10), 1437–1452. doi:10.1108/03090561011062916
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  • Information Systems, 24(4), 47–72. doi:10.2753/MIS0742-1222240402
  • Degeratu, A. M., Rangaswamy, A. ve Wu, J. (2000). Consumer choice behavior in online and traditional supermarkets: The effects of brand name, price, and other search attributes. International Journal of Research in Marketing, 17(1), 55–78. doi:10.1016/S0167-8116(00)00005
  • Donovan, R. J. ve Rossiter, J. R. (1982). Store Atmosphere: An Environmental Psychology Approach. Journal of Retailing, 58(1), 34. doi:Article
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  • Eroglu, S. a., Machleit, K. a. ve Davis, L. M. (2003). Empirical Testing of a Model of Online Store Atmospherics and Shopper Responses.
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  • Marketing Research (JMR), 18(1), 39–50. Forsythe, A., Sheehy, N. ve Sawey, M. (2003). Measuring icon complexity: an automated analysis. Behavior research methods, instruments,
  • & computers : a journal of the Psychonomic Society, Inc, 35(2), 334–342. doi:10.3758/BF03202562
  • Garg, R. ve Telang, R. (2013). Inferring App Demand From Publicly Available Data. MIS Quarterly, 37(4), 1253–1264.
  • Geisser, S. (1974). A predictive approach to the random effect model. Biometrika, 61, 101–107.
  • Ghose, A. ve Han, S. P. (2014). Estimating demand for mobile applications in the new economy. Management Science, 60(6), 1470.
  • Gilboa, S. ve Rafaeli, A. (2003). Store environment, emotions and approach behaviour: applying environmental aesthetics to retailing. The International Review of Retail, Distribution and Consumer Research, 13(2), 195–211. doi:10.1080/0959396032000069568
  • Hair, J. F., Hult, G. T. M., Ringle, C. M. ve Sarstedt, M. (2013). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (1st bs.). Thousand Oaks: Sage Publications, Inc.
  • Hair, J. F., Tomas, G., Hult, M., Ringle, C. M. ve Sarstedt, M. (2013). A Primer on Partial Least Squares Structural Equation Modeling (PLS- SEM) (1st bs.). Thousand Oaks: Sage Publications, Inc.
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  • Hirschman, E. C. ve Holbrook, M. B. (1982). Hedonic Consumption: Emerging Concepts, Methods and Propositions. Journal of Marketing, (3), 92. doi:10.2307/1251707
  • Ho, S. C. ve Tu, Y. C. (2012). The investigation of online reviews of mobile games. Lecture Notes in Business Information Processing, 108 LNBIP(116), 130–139. doi:10.1007/978-3-642-29873-8-13
  • Holbrook, M. B. ve Batra, R. (1987). Assessing the Role of Emotions as Mediators of Consumer Responses to Advertising. Journal of
  • Consumer Research, 14(3), 404. doi:10.1086/209123
  • Hou, K.-C. ve Ho, C.-H. (2013). A Preliminary Study on Aesthetic of Apps Icon Design. IASDR 2013 5th International Congress of International
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  • Kaplan, S. ve Kaplan, R. (1983). Cognition and Environment: Functioning in an Uncertain World. Belmont, CA: Praeger Publishers.
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  • Lavie, T. ve Tractinsky, N. (2004). Assessing dimensions of perceived visual aesthetics of web sites. International Journal of Human
  • Computer Studies, 60(3), 269–298. doi:10.1016/j.ijhcs.2003.09.002
  • Liang, T.-P., Li, X., Yang, C.-T. ve Wang, M. (2015). What in Consumer Reviews Affects the Sales of Mobile Apps: A Multifacet Sentiment
  • Analysis Approach. International Journal of Electronic Commerce, 20(2), 236–260. doi:10.1080/10864415.2016.1087823
  • Lindgaard, G., Fernandes, G., Dudek, C. ve Brown, J. (2006). Attention web designers: You have 50 milliseconds to make a good first impression Behaviour & Information Technology, 25(2), 115–126. doi:10.1080/01449290500330448
  • Lovelock, C. ve Wirtz, J. (2011). Services Marketing: People Technology, Strategy (7. bs.). New Jersey: Pearson Prentice Hall.
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  • Massara, F., Liu, S. S. ve Melara, R. D. (2010). Adapting to a retail environment: Modeling consumer-environment interactions. Journal of
  • Business Research, 63(7), 673–681. doi:10.1016/j.jbusres.2009.05.004
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There are 92 citations in total.

Details

Other ID JA29SD62RS
Journal Section Articles
Authors

Gokhan Aydin This is me

Publication Date June 1, 2016
Published in Issue Year 2016

Cite

APA Aydin, G. (2016). VISUAL ELEMENTS’ EFFECT ON MOBILE APPLICATION PREFERENCE. PressAcademia Procedia, 2(1), 360-376. https://doi.org/10.17261/Pressacademia.2016118656
AMA Aydin G. VISUAL ELEMENTS’ EFFECT ON MOBILE APPLICATION PREFERENCE. PAP. June 2016;2(1):360-376. doi:10.17261/Pressacademia.2016118656
Chicago Aydin, Gokhan. “VISUAL ELEMENTS’ EFFECT ON MOBILE APPLICATION PREFERENCE”. PressAcademia Procedia 2, no. 1 (June 2016): 360-76. https://doi.org/10.17261/Pressacademia.2016118656.
EndNote Aydin G (June 1, 2016) VISUAL ELEMENTS’ EFFECT ON MOBILE APPLICATION PREFERENCE. PressAcademia Procedia 2 1 360–376.
IEEE G. Aydin, “VISUAL ELEMENTS’ EFFECT ON MOBILE APPLICATION PREFERENCE”, PAP, vol. 2, no. 1, pp. 360–376, 2016, doi: 10.17261/Pressacademia.2016118656.
ISNAD Aydin, Gokhan. “VISUAL ELEMENTS’ EFFECT ON MOBILE APPLICATION PREFERENCE”. PressAcademia Procedia 2/1 (June 2016), 360-376. https://doi.org/10.17261/Pressacademia.2016118656.
JAMA Aydin G. VISUAL ELEMENTS’ EFFECT ON MOBILE APPLICATION PREFERENCE. PAP. 2016;2:360–376.
MLA Aydin, Gokhan. “VISUAL ELEMENTS’ EFFECT ON MOBILE APPLICATION PREFERENCE”. PressAcademia Procedia, vol. 2, no. 1, 2016, pp. 360-76, doi:10.17261/Pressacademia.2016118656.
Vancouver Aydin G. VISUAL ELEMENTS’ EFFECT ON MOBILE APPLICATION PREFERENCE. PAP. 2016;2(1):360-76.

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