The interplay of online shop** motivations and experiential factors on personalized e-commerce: A complexity theory approach

IO Pappas, PE Kourouthanassis, MN Giannakos… - Telematics and …, 2017 - Elsevier
The present study aims to examine purchase behavior in personalized online shop** by
employing complexity theory, based on customers' online shop** experience and online …

Consumer acceptance of voice-activated smart home devices for product information seeking and online ordering

B Canziani, S MacSween - Computers in Human Behavior, 2021 - Elsevier
This paper explores how voice-activated smart home devices (SHDs) like Amazon Alexa
and Google Home influence consumers' retail information seeking and ordering behaviors …

The influence of culture on impulse buying behavior: a systematic literature review

A Bashar, S Singh, VK Pathak - BBR. Brazilian Business Review, 2023 - SciELO Brasil
Culture plays a significant buying role in sha** different aspects of consumer behavior
such as rational, impulse, and compulsive buying behavior. Impulse buying is one of the …

Research on the use, characteristics, and impact of e-commerce product recommendation agents: A review and update for 2007–2012

B **ao, I Benbasat - Handbook of strategic e-business management, 2013 - Springer
Five years have passed since the publication of our MISQ 2007 paper on the use,
characteristics, and impact of e-commerce product recommendation agents (RAs). We are …

A survey on data mining techniques in recommender systems

MK Najafabadi, AH Mohamed, MN Mahrin - Soft Computing, 2019 - Springer
Recommender systems have been regarded as gaining a more significant role with the
emergence of the first research article on collaborative filtering (CF) in the mid-1990s. CF …

[HTML][HTML] Testing the performance of online recommendation agents: A meta-analysis

M Blut, A Ghiassaleh, C Wang - Journal of Retailing, 2023 - Elsevier
Abstract Many retailers (eg, Amazon, Walmart) use various types of online recommendation
agents (RAs) on their websites to suggest goods and services to consumers. These RAs …

Examining the influence of satisfaction and regret on online shoppers' post-purchase behaviour

SV Tata, S Prashar, C Parsad - Benchmarking: An International …, 2021 - emerald.com
Purpose The present research has used the expectancy–confirmation model along with the
regret theory to examine the influence of six e-retailers' characteristics and confirmation on …

How voice can change customer satisfaction: a comparative analysis between e-commerce and voice commerce

D Kraus, V Reibenspiess, A Eckhardt - 2019 - aisel.aisnet.org
Voice commerce is a newly evolving e-commerce channel where consumers communicate
with dedicated systems on smart speakers or other devices using their voice, in order to find …

Behavioral Issues in B2C E-commerce: The-state-of-the-art

F Huseynov, SÖ Yıldırım - Information Development, 2016 - journals.sagepub.com
B2C e-commerce is one of the fastest growing industries worldwide. A lot of studies were
carried out by both scholars and practitioners in order to assess online consumers' …

Mobile personalized recommendation model based on privacy concerns and context analysis for the sustainable development of M-commerce

L **ao, Q Lu, F Guo - Sustainability, 2020 - mdpi.com
A mobile personalized recommendation service satisfies the needs of users and stimulates
them to continue to adopt mobile commerce applications. Therefore, how to precisely …