Saltar al contenido principal

ETHNOS_APP

Inicio • Búsqueda • Revistas • Lista 0

Estimation the Number of Visitor of E-Commerce Website by Artificial Neural Networks During Covid19 in Turkey

Datos Bibliográficos

ID21680299
AutoresMehmet Kayakuş (0000-0003-0394-5862, Akdeniz University), Mehmet Çevik (Akdeniz University, autor de correspondencia), Kerim Kürşat ÇEVİK (0000-0002-2921-506X, Akdeniz University)
Año2020
Volumen15 Issue 4
Número15 Issue 4
Páginas615-631
Fecha de publicación2020-01-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaJournal of Turkish Studies (JOURNAL)
Identificadores de la revistaISSN: 1308-2140 • E-ISSN: 1308-2140
Editorialİntaç Eğitim Danışmanlık Organizasyon Araştırma İnşaat Sanayi ve Ticaret Limited Şirketi (PUBLISHER)
DOI10.7827/turkishstudies.44299
OpenAlexW3082487464
IdiomaEN
Referencias citadas3

Developments in the field of internet technology affect human life in every way and cause their daily lives to positively change over time. One of the conveniences and positive effects provided by the internet has been e-commerce technology that has brought a new perspective to commerce and shopping for both the operator and client. Thanks to e-commerce, people can shop online by using websites and mobile applications, without needing to pay attention to the concepts such as easiness, speed, time and location. Due to these advantages, the interest in the e-commerce market is increasing daily in Turkey as it does in the rest of the world, the e-commerce market is also growing rapidly in line with the increasing demand. Through the process of COVID-19, public health is threatened, but also the economy and social life are affected. The process of quarantine and panic environment, which are the effects of a pandemic, affected shopping preferences of the public. The changes in the number of visitors of 4 e-commerce sites operating in Turkey during the COVID-19 period were estimated in this study by artificial neural networks method. The number of visitors of web-sites were tried to be estimated by using statistical data such as new case, total case, new death, total death, new recovery, total recovery, intubation, intensive care, total test from March 11, which is when COVID-19 was first seen in Turkey, until May 13. The effects of the data that came about during the pandemic process on internet shopping were investigated in the study. Looking at the results, it can be said that the statistical data during the pandemic process have directly affect online shopping

Humanities · Belt and Road Initiative · E-commerce and Technology Innovations · Global trade and economics · Philosophy

  • A note on a general definition of the coefficient of determination

    N J D NAGELKERKE•Biometrika•1991

  • Root mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding RMSE in the literature

    Open Access•Tianfeng Chai, R R Draxler•Geoscientific Model Development•2014

  • Mobility effects of b2c and c2c e-commerce in the Netherlands

    Open Access•Jesse W J Weltevreden, Jesse Weltevreden et al.•Journal of Transport Geography•2009

Velocidad de citaciónhistorical
Altamente citadoNo
Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae