Journals / Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi / 2021 / Cilt: 16 - Sayı: 1

Dynamics of E-Commerce Marketplace Websites: Shift in Covid-19 Pandemic

E-Ticaret Pazaryeri Web Sitelerinin Dinamikleri: Covid-19 Pandemi Sürecindeki Değişim

Pages
205–226
Publication Date
2021-04-01
DOI
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AI Summary & Key Takeaways

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

It was found that there is a strong relationship between the independent variable set (website technical features, access to the website, and social media usage) and the dependent variable set (website usage statistics), and this relationship has been repeatedly found in different months.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study investigates the relations between variables of e-commerce marketplace websites and the effect of the Covid-19 pandemic on those relations.
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Key Findings & Data:Based on the secondary data of 16 e-commerce marketplace websites for different periods of the Covid-19 pandemic (February-May-October 2020), a model and hypotheses were tested with canonical correlation analysis.
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Conclusion & Impact:It was found that there is a strong relationship between the independent variable set (website technical features, access to the website, and social media usage) and the dependent variable set (website usage statistics), and this relationship has been repeatedly found in different months.
🔬Design:Modeling & Simulation
📍Scope:2020 Verileri
⚙️Variables:E-ticaret · E-ticaret pazaryerleri · Web sitesi özellikleri

Abstract

This study investigates the relations between variables of e-commerce marketplace websites and the effect of the Covid-19 pandemic on those relations. Based on the secondary data of 16 e-commerce marketplace websites for different periods of the Covid-19 pandemic (February-May-October 2020), a model and hypotheses were tested with canonical correlation analysis. It was found that there is a strong relationship between the independent variable set (website technical features, access to the website, and social media usage) and the dependent variable set (website usage statistics), and this relationship has been repeatedly found in different months. Besides, it is seen that different website features emerged and the relationship structure between variables changed in the months examined.

Özet

Bu çalışma e-ticaret pazaryeri web sitelerine ait değişkenler arasındaki ilişkileri ve Covid-19 pan-demisinin söz konusu ilişkilere etkisini analiz et-mektedir. Araştırmanın örneklemi olan 16 e-ticaret pazaryeri web sitesinin Covid-19 pandemisinin farklı dönemlerine (Şubat-Mayıs-Ekim 2020) ait ikincil verileriyle geliştirilen model ve hipotezler kanonik korelasyon analiziyle test edilmiştir. Çalış-ma sonucunda bağımsız değişkenler seti (web sitesi teknik özellikleri, siteye giriş kaynakları ve sosyal medya kullanımı) ile bağımlı değişkenler seti (web sitesi kullanım istatistikleri) arasında güçlü ilişki olduğu ve bu ilişkinin farklı aylar itibariyle tekrarla-dığı bulgusuna ulaşılmıştır. Ayrıca, incelenen aylar-da farklı web sitesi özelliklerinin öne çıktığı ve değişkenler arası ilişki yapısının pandemi sürecinde değiştiği görülmektedir.

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Cite This Article

NACAR, R., ÖZDEMİR, K. (2021). Dynamics of E-Commerce Marketplace Websites: Shift in Covid-19 Pandemic. Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi, Cilt: 16 - Sayı: 1, 205–226. https://ajindex.com/articles/116887

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References (12)

  1. Albuquerque, A. B., & Belchior, A. D. (2002). E-commerce website quality evaluation. Conference Proceedings of the EUROMICRO, (February 2002), 294–300.
  2. Almousa, M. (2013). Barriers to e-commerce adoption: Consumers’ perspectives from a developing country. iBusiness, 05(02), 65–71.
  3. Barkatullah, A. H., & Djumadi. (2018). Does self-regulation provide legal protection and security to e-commerce consumers? Electronic Commerce Research and Applications, 30(May), 94–101.
  4. Bhatti, A., Akram, H., Basit, H. M., Khan, A. U., Naqvi, S. M. Raza, & Bilal, M. (2020). E-commerce trends during COVID-19 Pandemic. International Journal of Future Generation Communication and Networking, 13(2), 1449–1452.
  5. Bilal, M., Yu, Z., Song, S., & Wang, C. (2019). Evaluate accessibility and usability issues of particular China and Pakistan government websites. 2019 2nd International Conference on Artificial Intelligence and Big Data, ICAIBD 2019, 316–322.
  6. Blake, T., Nosko, C., & Tadelis, S. (2015). Consumer heterogeneity and paid search effectiveness: A large-scale field experiment. Econometrica, 83(1), 155–174.
  7. Bodkin, C. D., & Perry, M. (2004). Goods retailers and service providers: comparative analysis of web site marketing communications. 11, 19–29.
  8. Boulte, A. (2020). Mobil sitenizi hızlandırmak karlılığınızı nasıl artırır ?. https://www.thinkwithgoogle.com/intl/tr-tr/pazarlama-stratejileri/uygulama-ve-mobil/mobile-sayfa-hizi-verisi/. Erişim tarihi: 16.12.2020.
  9. Carmona, C. J., Ramírez-Gallego, S., Torres, F., Bernal, E., Del Jesus, M. J., & García, S. (2012). Web usage mining to improve the design of an e-commerce website: OrOliveSur.com. Expert Systems with Applications, 39(12), 11243–11249.
  10. Cao, M., Zhang, Q., Seydel, J., Cao, M., Zhang, Q., & Seydel, J. (2005). B2C e-commerce web site quality: an empirical examination B2C e-commerce web site quality: an empirical examination. Industrial Management and Data System Emerald Article, 105(5), 645-661.
  11. Chakraborty, R., Lee, J., Bagchi-sen, S., Upadhyaya, S., & Rao, H. R. (2016). Online shopping intention in the context of data breach in online retail stores: An examination of older and younger adults. Decision Support Systems, 83, 47–56.
  12. Chaudhary, H. (2020). Analyzing the paradigm shift of consumer behavior towards e-commerce during pandemic lockdown. Available at SSRN 3664668. Chen, J. C. V., Lin, C., Wu, Y. S., (2013). Electronic word of mouth: The moderating roles of product involvement and brand image, Proceeding of 2013 Internat