Abstract
E-Ticaret
platformları, insan-bilgisayar etkileşiminin hızlı büyüyen alanlarından
biridir. Artan sayıda platform ve etkileşim fırsatlarıyla E-ticaret
platformları günlük yaşamımızda önemli bir yer tutuyor. Geleneksel ticarette
olduğu gibi, e-ticaret platformları da hedef müşterilerinin ihtiyaçlarına göre
oluşturulmaktadır. Kitlesel kullanım için faarklı platformlar var, ancak
çeşitli kullanıcı grupları için özel platformlar da var. Türkiye’de belirli
cinsiyetlere adanmış bu tür platformlar oldukça popülerdir, ancak yine de
kullanıcıların çoğu toplu e-ticaret platformlarını tercih etmektedir. Bu
projede; Bir öğe satın alırken arama sürecinde cinsiyetlerin farklı
ihtiyaçlarını anlamak için, platformlardan bağımsız olarak cinsiyetlerin
e-ticaret kullanımı araştırıldı.
References
- http://www.tubisad.org.tr/Tr/Library/Sayfalar/Reports.aspx
- http://finans.milliyet.com.tr/haber-detay/gundem2/14/18000/18281/
- http://www.tuik.gov.tr/Start.do
- Yang, B. , Lester,D. :Gender differences in e-commerce, Applied Economics, Vol. 37, Iss. 18, 2005
- Hasan, B.: Emerging and scripted roles in computer-supported collaborative learning, Computers in Human Behavior, 26
- Yujong H.: The moderating effects of gender on e-commerce systems adoption factors: An empirical investigation, Computers in Human Behavior, Volume 26, Issue 6, November 2010
- SHELLY RODGERS and MARY ANN HARRIS (2003). Gender and E-Commerce: An Exploratory Study. Journal of Advertising Research, 43, Kolsaker A, Payne C. Engendering trust in e-commerce: A study of gender-based concerns. Marketing Intelligence & Planning 2002;20
- Morville, P. 2005. Ambient Findability. O’Reilly, Sebastopol, CA.
- Nielsen, Jakob (1994). Usability Engineering. San Diego: Academic Press.
- Philip E. Agre, Designing genres for new media, in Steve Jones, ed, CyberSociety 2.0: Re- visiting CMC and Community, Sage, 1998 Moth. D.: Do Companies Understand the Customer Journey? https://econsultancy.com/blog/66322-do-companies-understand-the-customer-journey, 2015
- Simpson, J.: Only 17% of Brands have the Ability to Fully Analyse the Customer Journey. https://econsultancy.com/blog/66913-only-17-of-brands-have-the-ability-to-fully-analyse-the-customer-journey, 2015
- Appleseed, J.: 6 Use Cases for Compatibility Databases on E-Commerce Sites. http://baymard.com/blog/ecommerce-compatibility-databases (2015)
- Holst, C.: The Current State of E-Commerce Search. https://www.smashingmagazine.com/2014/08/the-current-state-of-e-commerce-search/ (2014)
- Holst, C.: The Current State of E-Commerce Filtering. https://www.smashingmagazine.com/2015/04/the-current-state-of-e-commerce-filtering/ (2015)
- Pay, K.: How to Use Persuasion throughout the Ecommerce Customer Journey. https://econsultancy.com/blog/66756-how-to-use-persuasion-throughout-the-ecommerce-customer-journey/ (2015)
- Walker, T.: How To Boost eCommerce Sales With Upselling. http://conversionxl.com/upselling-techniques/ (2014) Appleseed, J.: Users’ Perception of Product Ratings (New Qualitative & Quantitative Findings). http://baymard.com/blog/user-perception-of-product-ratings (2015)
- Ajzen, I., & Fishbein, M. (Eds.). Understanding attitudes and predicting social behaviour. New Jersey: Prentice-Hall. (1980)
Abstract
E-Ticaret
platformları, insan-bilgisayar etkileşiminin hızlı büyüyen alanlarından
biridir. Artan sayıda platform ve etkileşim fırsatlarıyla E-ticaret
platformları günlük yaşamımızda önemli bir yer tutuyor. Geleneksel ticarette
olduğu gibi, e-ticaret platformları da hedef müşterilerinin ihtiyaçlarına göre
oluşturulmaktadır. Kitlesel kullanım için faarklı platformlar var, ancak
çeşitli kullanıcı grupları için özel platformlar da var. Türkiye’de belirli
cinsiyetlere adanmış bu tür platformlar oldukça popülerdir, ancak yine de
kullanıcıların çoğu toplu e-ticaret platformlarını tercih etmektedir. Bu
projede; Bir öğe satın alırken arama sürecinde cinsiyetlerin farklı
ihtiyaçlarını anlamak için, platformlardan bağımsız olarak cinsiyetlerin
e-ticaret kullanımı araştırıldı.
References
- http://www.tubisad.org.tr/Tr/Library/Sayfalar/Reports.aspx
- http://finans.milliyet.com.tr/haber-detay/gundem2/14/18000/18281/
- http://www.tuik.gov.tr/Start.do
- Yang, B. , Lester,D. :Gender differences in e-commerce, Applied Economics, Vol. 37, Iss. 18, 2005
- Hasan, B.: Emerging and scripted roles in computer-supported collaborative learning, Computers in Human Behavior, 26
- Yujong H.: The moderating effects of gender on e-commerce systems adoption factors: An empirical investigation, Computers in Human Behavior, Volume 26, Issue 6, November 2010
- SHELLY RODGERS and MARY ANN HARRIS (2003). Gender and E-Commerce: An Exploratory Study. Journal of Advertising Research, 43, Kolsaker A, Payne C. Engendering trust in e-commerce: A study of gender-based concerns. Marketing Intelligence & Planning 2002;20
- Morville, P. 2005. Ambient Findability. O’Reilly, Sebastopol, CA.
- Nielsen, Jakob (1994). Usability Engineering. San Diego: Academic Press.
- Philip E. Agre, Designing genres for new media, in Steve Jones, ed, CyberSociety 2.0: Re- visiting CMC and Community, Sage, 1998 Moth. D.: Do Companies Understand the Customer Journey? https://econsultancy.com/blog/66322-do-companies-understand-the-customer-journey, 2015
- Simpson, J.: Only 17% of Brands have the Ability to Fully Analyse the Customer Journey. https://econsultancy.com/blog/66913-only-17-of-brands-have-the-ability-to-fully-analyse-the-customer-journey, 2015
- Appleseed, J.: 6 Use Cases for Compatibility Databases on E-Commerce Sites. http://baymard.com/blog/ecommerce-compatibility-databases (2015)
- Holst, C.: The Current State of E-Commerce Search. https://www.smashingmagazine.com/2014/08/the-current-state-of-e-commerce-search/ (2014)
- Holst, C.: The Current State of E-Commerce Filtering. https://www.smashingmagazine.com/2015/04/the-current-state-of-e-commerce-filtering/ (2015)
- Pay, K.: How to Use Persuasion throughout the Ecommerce Customer Journey. https://econsultancy.com/blog/66756-how-to-use-persuasion-throughout-the-ecommerce-customer-journey/ (2015)
- Walker, T.: How To Boost eCommerce Sales With Upselling. http://conversionxl.com/upselling-techniques/ (2014) Appleseed, J.: Users’ Perception of Product Ratings (New Qualitative & Quantitative Findings). http://baymard.com/blog/user-perception-of-product-ratings (2015)
- Ajzen, I., & Fishbein, M. (Eds.). Understanding attitudes and predicting social behaviour. New Jersey: Prentice-Hall. (1980)
Details
| Primary Language | English |
|---|---|
| Journal Section | Articles |
| Authors | |
| Publication Date | June 26, 2019 |
| Acceptance Date | December 31, 2018 |
| Published in Issue | Year 2019Issue: 30 |
