Online consumer shopping behaviour: A review and research agenda

K Singh, R Basu - International Journal of Consumer Studies, 2023 - Wiley Online Library
Over the last two decades, motivated by the continuous evolution of the technology‐driven
retail environment, researchers have studied various aspects of online consumer behaviour …

Over-the-top (OTT) retailing in the post pandemic world. Unveiling consumer drivers and barriers using a qualitative study

R Agarwal, A Mehrotra, V Sharma, A Papa… - Journal of Retailing and …, 2023 - Elsevier
Consumers are increasingly moving from traditional television to Over-The-Top (OTT)
streaming platforms. Although OTT platforms are widely used, people's interactions with …

Investigating the impact of intelligent personal assistants on the purchase intentions of Generation Z consumers: The moderating role of brand credibility

W Guo, Q Luo - Journal of Retailing and Consumer Services, 2023 - Elsevier
Consumers increasingly use intelligent personal assistants for shopping, given their
advantages of being hands-free and voice-controlled, enabling individuals to multi-task …

From clicks to consequences: A multi-method review of online grocery shopping

A Shroff, S Kumar, LM Martinez, N Pandey - Electronic Commerce …, 2023 - Springer
The academic interest in Online Grocery Shopping (OGS) has proliferated in retailing and
business management over the past two decades. Previous research on OGS was primarily …

Do you think that the home delivery is good for retailing?

BK Dey, M Sarkar, K Chaudhuri, B Sarkar - Journal of Retailing and …, 2023 - Elsevier
Order placing and delivery always play a significant role in any business industry.
Nowadays, most customers want useful products at their doorstep without visiting any retail …

Consumers' willingness to disclose their personal data in e-commerce: A reciprocity-based social exchange perspective

M Degutis, S Urbonavičius, LD Hollebeek… - Journal of Retailing and …, 2023 - Elsevier
While personal data is invaluable to firms, the drivers of e-commerce customers' willingness
to disclose their personal data remain tenuous. Using social exchange theory, we develop a …

Grocery apps and consumer purchase behavior: application of Gaussian mixture model and multi-layer perceptron algorithm

A Salamzadeh, P Ebrahimi, M Soleimani… - Journal of Risk and …, 2022 - mdpi.com
The purpose of this study is to investigate and compare the popularity of common grocery
apps in Hungary as well as Iran. The data were gathered from Iranian and Hungarian users …

A MAGDM model based on 2-tuple linguistic variables and power Hamacher aggregation operators for optimal selection of digital marketing strategies

S Naz, SS Fatima, SA Butt, N Tabassum - Granular Computing, 2023 - Springer
In this modern marketing and technological era, a strong strategy regarding digital marketing
is crucial for the development of any organization. Digital marketing strategies are a …

A hyper-personalized product recommendation system focused on customer segmentation: An application in the fashion retail industry

E Yıldız, C Güngör Şen, EE Işık - Journal of Theoretical and Applied …, 2023 - mdpi.com
Providing the right products, at the right place and time, according to their customer's
preferences, is a problem-seeking solution, especially for companies operating in the retail …

Price-aware enhanced dynamic recommendation based on deep learning

W Guo, J Tian, M Li - Journal of Retailing and Consumer Services, 2023 - Elsevier
Price is one of the essential elements influencing consumer purchase behavior. Like
consumers' preferences in products, their price preferences also dynamically change over …