Leveraging AI to Study the Impact of COVID-19 on Consumer Online Purchase Behaviour: A Study of Konya

Kamola Bayram; Hüseyin Ergun; Yonis Gulzar; Hasan Basri Alım; Yasir Hamid

TR EN

COVID-19'un Tüketici Çevrimiçi Satın Alma Davranışı Üzerindeki Etkisini Araştırmak için Yapay Zekadan Yararlanma: Konya İli Örneği

Öz

Bu makale, COVID-19 sağlık krizinin tüketicilerin çevrimiçi alışveriş davranışları üzerindeki etkisini ele almayı ve e-ticaret platformunun seçimine yönelik karar vermeyi etkileyen faktörlere odaklanmayı amaçlamaktadır. Çalışma, Konya Ticaret Odası’ndan çevrimiçi olarak uygulanan bir ankete verilen yanıtların yorumlanmasına dayanmaktadır. Kolaylık, popülerlik, aşinalık, faydalar ve şeffaflık açısından bir e-ticaret platformunu diğerine tercih etme sorunu ortaya çıkmaktadır. Çalışma aynı zamanda farklı nesillerin çevrimiçi alışveriş platformlarını, ürün öğelerini seçmeye yönelik davranışlarını ve katılımcıların yerel (Yalnızca Konya’dan) çevrimiçi perakendecileri destekleme istekliliğini etkileyen ana faktörleri de araştırmaktadır. Çalışma, yerel tedarikçilerden alışveriş yapma olasılığı en yüksek olası müşterileri bulmak ve belirlemek için yapay zeka tekniklerine işaret ediyor. Müşterilerin ülke çapındaki muadili yerine bölgesel olarak yerel tedarikçileri tercih etme olasılığını tahmin eden bir AI (Yapay Zeka) modeli geliştirilmiştir. Eğitimli model, test setinde 0,91 doğruluk bildirmiştir; bu, müşterinin verileri göz önüne alındığında, modelin insanların %91’inin yerel bir tedarikçiden satın almaya istekli olduğunu tahmin ettiği anlamına geliyor. Bu model, satışları artıran belirli bir zamanda belirli kişilere yönelik hedefli reklamlar için kullanılabilir. Araştırma betimsel bir araştırma yöntemini benimsemiş ve Konya Ticaret Odası üyeleri tarafından temsil edilen Konya’da yaşayan insanların tutumlarını betimlemeyi amaçlamaktadır.

Anahtar Kelimeler

Yapay Zeka , Tüketici davranışı , COVID-19 , Türkiye , Çevrimiçi alışveriş , e-ticaret , COVID-19,

Leveraging AI to Study the Impact of COVID-19 on Consumer Online Purchase Behaviour: A Study of Konya

Abstract

The paper intends to address the impact of the COVID-19 crisis upon consumer online shopping behaviour, focusing on the factors that affect the decision making towards the choice of e-commerce platform. The study relies on interpreting answers received from the Konya Chamber of Commerce to a questionnaire applied online. The problem of choosing one e-commerce platform over another in terms of convenience, popularity, familiarity, benefits, and transparency is introduced. The study also investigates the main factors that influence different generations’ behaviour towards choosing the online shopping platforms, product items, and respondents’ willingness to support the local (Only from Konya) online retailers. The study implies AI techniques to find and identify the prospective customers most likely to shop from the local suppliers. An AI model has been developed that predicts the customers’ likelihood of preferring regionally local suppliers over the nationwide counterpart. The trained model reported an accuracy of 0.91 on the testing set, which means that given the customer’s data, the model predicts that 91% of the people are willing to buy from a local supplier. This model can be used for targeted advertisement for specific people at a specific time which improve the sales. The study adopts a descriptive research method and aims at describing the attitude of people living in Konya, represented by the members of the Konya Chamber of Commerce.

Keywords

Consumer behaviour , COVID-19 , Turkey , Online shopping , e-commerce , Artificial Intelligence

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Details

Primary Language

English

Subjects

Economics , Finance

Journal Section

Research Article

Authors

Kamola Bayram
0000-0003-2765-5552
Türkiye

Hüseyin Ergun
0000-0002-2271-0041
Türkiye

Yonis Gulzar This is me
0000-0002-6515-1569
Saudi Arabia

Hasan Basri Alım This is me
0000-0002-6129-1644
Türkiye

Yasir Hamid This is me
0000-0003-1334-2651
United Arab Emirates

Publication Date

February 25, 2022

Submission Date

December 16, 2021

Acceptance Date

January 17, 2022

Published in Issue

Year 2022 Volume: 1 Number: 1

IZ

https://izlik.org/JA25ZE45BF

APA

Bayram, K., Ergun, H., Gulzar, Y., Alım, H. B., & Hamid, Y. (2022). Leveraging AI to Study the Impact of COVID-19 on Consumer Online Purchase Behaviour: A Study of Konya. Karatay İslam İktisadı Ve Finans Dergisi, 1(1), 5-26. https://izlik.org/JA25ZE45BF

COVID-19'un Tüketici Çevrimiçi Satın Alma Davranışı Üzerindeki Etkisini Araştırmak için Yapay Zekadan Yararlanma: Konya İli Örneği

Öz

Anahtar Kelimeler

Leveraging AI to Study the Impact of COVID-19 on Consumer Online Purchase Behaviour: A Study of Konya

Abstract

Keywords

References

Details

Primary Language

Subjects

Journal Section

Authors

Publication Date

Submission Date

Acceptance Date

Published in Issue

IZ

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