Journals / Sosyoekonomi / 2022 / Cilt: 30 - Sayı: 54

An Application on Determining the Consumers' Attitudes Towards Auction Sites

Tüketicilerin Açık Artırma Siteleri Hakkındaki Tutumlarını Belirlemeye Yönelik Bir Uygulama

Pages
269–289
Publication Date
2022-10-25
DOI
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AI Summary & Key Takeaways

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

According to aspect and Anova tests of consumers on consumer behaviour; it is revealed that “Trust” with P: 0.047 < 0.05 shows a significant difference depending on income, and “purchasing process” with P: 0.013 < 0.05 has a considerable difference depending on age, “competition” with P:0.032 <0.05 has a significant difference depending on gender, “budget” with P: 0.046 < 0.05 has a considerable difference depending on income and education (F: 3.422 - P: 0.031 <0.05).

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The context was discussed due to the deficiencies in the literature and current issue on this subject.
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Key Findings & Data:This study is significant as it aims to comprehensively approach consumer-to-consumer auction systems and determine consumers' attitudes towards e-auction sites.
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Conclusion & Impact:According to aspect and Anova tests of consumers on consumer behaviour; it is revealed that “Trust” with P: 0.047 < 0.05 shows a significant difference depending on income, and “purchasing process” with P: 0.013 < 0.05 has a considerable difference depending on age, “competition” with P:0.032 <0.05 has a significant difference depending on gender, “budget” with P: 0.046 < 0.05 has a considerable difference depending on income and education (F: 3.422 - P: 0.031 <0.05).
🔬Design:Survey & Empirical Study
📍Scope:Comprehensive Sample
⚙️Variables:Açık Artırma · e-Ticaret · Tüketici Davranışları

Abstract

The context was discussed due to the deficiencies in the literature and current issue on this subject. The study aims to determine consumers’ shopping habits with online auction services, specify the problems experienced in service quality, and create an innovative and time-saving service suitable for consumers by choosing their wishes and needs. This study is significant as it aims to comprehensively approach consumer-to-consumer auction systems and determine consumers' attitudes towards e-auction sites. Data were collected using the survey method, and the factor and Anova analysis were applied to the collected data. Consumers' opinions about auction sites were evaluated within the framework of factors such as “trust”, “purchasing process”, “competition”, and “budget”. According to aspect and Anova tests of consumers on consumer behaviour; it is revealed that “Trust” with P: 0.047 < 0.05 shows a significant difference depending on income, and “purchasing process” with P: 0.013 < 0.05 has a considerable difference depending on age, “competition” with P:0.032 <0.05 has a significant difference depending on gender, “budget” with P: 0.046 < 0.05 has a considerable difference depending on income and education (F: 3.422 - P: 0.031 <0.05).

Özet

Literatürde bu konuda yapılan çalışmaların eksikliği nedeniyle konu ele alınmıştır. Çalışma; tüketicilerin alışveriş alışkanlıkları ile çevrimiçi açık artırma hizmetlerinin kullanımı, hizmet kalitesinde yaşanan sorunların belirlenmesi, tüketicinin istek ve ihtiyaçlarının belirlenerek tüketicilere uygun zaman tasarrufu sağlayan ve yenilikçi hizmetin oluşturulması amacıyla hazırlanmıştır. Tüketiciden tüketiciye açık artırma sistemlerine kapsamlı yaklaşmayı, tüketicilerin e-açık artırma siteleri hakkındaki tutumlarını belirlemeyi amaçladığı için önem arz etmektedir. Anket yöntemi kullanılarak veri toplanmış ve toplanan veriler üzerinde faktör ve Anova analizi uygulaması yapılmıştır. Tüketicilerin açık artırma siteleri hakkındaki düşünceleri “güven”, “satın alma süreci”, “rekabet”, “bütçe” faktörleri çerçevesinde değerlendirilmiştir. Tüketicilerin faktör ve Anova testleri ile tüketici davranışları üzerinde “güven” P: 0,047 < 0,05 gelire bağlı olarak anlamlı şekilde farklılık gösterdiği, “satın alma süreci” P: 0,013 < 0,05 yaşa bağlı olarak anlamlı farklılık olduğu, “rekabet”, P:0,032 <0,05 cinsiyete bağlı olarak anlamlı, “bütçe” P: 0,046 < 0,05) gelire ve eğitime (F: 3, 422 - P: 0,031 <0,05) bağlı olarak anlamlı bir şekilde farklılık gösterdiği tespit edilmiştir.

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Cite This Article

TÜRKOĞLU, M., DURAN, G., YETİŞEN, S. (2022). An Application on Determining the Consumers' Attitudes Towards Auction Sites. Sosyoekonomi, Cilt: 30 - Sayı: 54, 269–289. https://ajindex.com/articles/700216

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References (16)

  1. Abdul G.E. et al. (2011), “Emic and etic interpretations of engagement with a consumer-to-consumer online auction site”, Journal of Business Research, 64, 1060-1066.
  2. Andrews, T. & C. Benzing (2007), “The determinants of price in internet auctions of used cars”, Atlantic Economic Journal, 35(1), 43-57.
  3. Angeloni, S. & C. Rossi (2021), “An analytical model for comparing the profitability of competing online marketing channels: Search engine marketing versus e-commerce marketplace”, Journal of Marketing Theory and Practice, 29(4), 534-549.
  4. Arefeva, A. & D. Meng (2021), “Revealing information in auctions: The optimal auction versus the second-price auction”, Economics Letters, 204, 1-4.
  5. Ashenfelter, O. (1989), “How auctions work for wine and art”, Journal of Economic Perspectives, 3(3), 23-36.
  6. Back, K. & J.F. Zender (1993), “Auctions of divisible goods: On the rationale for the treasury experiment”, The Review of Financial Studies, 6(4), 733-764.
  7. Bajari, P. & J. Yeo (2009), “Auction design and tacit collusion in FCC spectrum auctions”, NBER Working Paper Series: 14441. Bakos, J.Y. (1997), “Reducing buyer search costs: Implications for electronic marketplaces”, Management Science, 43(12), 1676-1692.
  8. Baranowski, P. et al. (2018), “Whose feedback matters? Empirical evidence from online auctions”, Applied Economics Letters, 25(17), 1226-1229.
  9. Bei, L.T. & M.Y. Chen (2015), “The effects of hedonic and utilitarian bidding values on e-auction behavior”, Electronic Commerce Research, 15(4), 483-507.
  10. Boyacıgil, B. (2008), “İnternette pazarlama açısından müzayede siteleri ve tüketicilerin müzayede siteleri hakkındaki tutumları”, Yüksek Lisans Tezi, Yıldız Teknik Üniversitesi,
  11. Sosyal Bilimler Enstitüsü. Branco, F. (2001), “On the superiority of the multiple round ascending bid auction”, Economics Letters, 70(2), 187-194.
  12. Cason, T.N. & L. Gangadharan (2004), “Auction design for voluntary conservation programs”, American Journal of Agricultural Economics, 86(5), 1211-1217.
  13. Chang, H.H. (2010), “Task-technology fit and user acceptance of online auction”, International Journal of Human-Computer Studies, 68(1-2), 69-89.
  14. Che, Y.K. (1993), “Design Competition through Multidimensional Auctions”, The RAND Journal of Economies, 24(4), 668-680.
  15. Chen, C.C. & J.Y. Yao (2018), “What drives impulse buying behaviors in a mobile auction? The perspective of the Stimulus-Organism-Response model”, Telematics and Informatics, 35(5), 1249-1262.
  16. Chen, J.V. et al. (2016), “The antecedents of purch