A systematic literature review on machine learning applications for consumer sentiment analysis using online reviews

PK Jain, R Pamula, G Srivastava - Computer science review, 2021‏ - Elsevier
Consumer sentiment analysis is a recent fad for social media-related applications such as
healthcare, crime, finance, travel, and in academia. Disentangling consumer perception to …

[HTML][HTML] Economic recommender systems–a systematic review

A De Biasio, N Navarin, D Jannach - Electronic Commerce Research and …, 2024‏ - Elsevier
Many of today's online services provide personalized recommendations to their users. Such
recommendations are typically designed to serve certain user needs, eg, to quickly find …

A comparative study on the effect of ChatGPT recommendation and AI recommender systems on the formation of a consideration set

W Chang, J Park - Journal of Retailing and Consumer Services, 2024‏ - Elsevier
The study explores the impact of Chat Generative Pre-trained Transformer (ChatGPT) and
existing artificial intelligence (AI) recommenders on consumer choice, examining whether …

Disentangling consumer recommendations: Explaining and predicting airline recommendations based on online reviews

M Siering, AV Deokar, C Janze - Decision Support Systems, 2018‏ - Elsevier
Consumer recommendations of products and services are important performance indicators
for organizations to gain feedback on their offerings. Furthermore, they are important for …

Information processing on online review platforms

M Siering, C Janze - Journal of Management Information Systems, 2019‏ - Taylor & Francis
Online reviews represent an important decision aid for consumers. Therefore, the question
of whether online reviews reflect the currently available information is of high importance …

How digital word-of-mouth affects consumer decision making: evidence from doctor appointment booking

AD Shukla, G Gao, R Agarwal - Management Science, 2021‏ - pubsonline.informs.org
We use detailed clickstream data on online word-of-mouth (WOM) to uncover mechanisms
underlying its influence on consumer decision making. A feature launch on a major doctor …

Online selection of a physician by patients: the impression formation perspective

Z Huang, C Duan, Y Yang, R Khanal - BMC Medical Informatics and …, 2022‏ - Springer
Background With the rapid development of online health communities (OHCs), an
increasing number of physicians provide services in OHCs that enable patients to consult …

Brownie: A platform for conducting NeuroIS experiments

A Hariharan, MTP Adam, V Dorner, E Lux… - Journal of the …, 2017‏ - aisel.aisnet.org
In the NeuroIS field, experimental software needs to simultaneously present experimental
stimuli to participants while recording, analyzing, or displaying neurophysiological …

Using PageRank for non-personalized default rankings in dynamic markets

M Scholz, J Pfeiffer, F Rothlauf - European Journal of Operational Research, 2017‏ - Elsevier
Default ranking algorithms are used to generate non-personalized product rankings for
standard consumers, for example, on landing pages of online stores. Default rankings are …

Energy efficiency of consideration sets and choices: the impact of label format

M Elsen, J Leenheer - European Journal of Marketing, 2022‏ - emerald.com
Purpose This research examines how the design of the online energy label can be improved
to stimulate consumer choice of energy-efficient household products in Web stores. Based …