Fake online reviews: Literature review, synthesis, and directions for future research

Y Wu, EWT Ngai, P Wu, C Wu - Decision Support Systems, 2020 - Elsevier
Fake online reviews in e-commerce significantly affect online consumers, merchants, and,
as a result, market efficiency. Despite scholarly efforts to examine fake reviews, there still …

Entrepreneurial fraud: A multidisciplinary review and synthesized framework

DJ Scheaf, MS Wood - Entrepreneurship Theory and …, 2022 - journals.sagepub.com
The practical relevance of entrepreneurial fraud has stimulated a wide array of research
occurring in disciplinary silos. We take stock of the current state of the entrepreneurial fraud …

Fraudulent review detection model focusing on emotional expressions and explicit aspects: investigating the potential of feature engineering

A Kumar, RD Gopal, R Shankar, KH Tan - Decision Support Systems, 2022 - Elsevier
Reading customer reviews before purchasing items online has become a common practice;
however, some companies use machine learning (ML) algorithms to generate false reviews …

A decision support model for buying battery electric vehicles considering consumer learning and psychological behavior

Y Song, Y Li, H Zhu, G Li - Journal of Retailing and Consumer Services, 2023 - Elsevier
Developments in battery electric vehicles (BEVs) have received more and more attentions in
the last decades due to alleviating carbon emissions and energy crisis. Consequently, how …

[HTML][HTML] Understanding purchase intention in O2O E-commerce: the effects of trust transfer and online contents

X Zhang, T Wang - Journal of theoretical and applied electronic …, 2021 - SciELO Chile
The purpose of this research is to examine the effects of trust transfer and online contents on
purchase intention in the online-to-offline e-commerce. A partial least squares based …

A purchase decision support model considering consumer personalization about aspirations and risk attitudes

Y Song, G Li, T Li, Y Li - Journal of Retailing and Consumer Services, 2021 - Elsevier
Ranking alternative products to help consumers make better purchase choices is a valuable
research topic. Most previous decision support models cannot be well applied to …

Resampling imbalanced data to detect fake reviews using machine learning classifiers and textual-based features

GS Budhi, R Chiong, Z Wang - Multimedia Tools and Applications, 2021 - Springer
Fraudulent online sellers often collude with reviewers to garner fake reviews for their
products. This act undermines the trust of buyers in product reviews, and potentially reduces …

Antisocial online behavior detection using deep learning

E Zinovyeva, WK Härdle, S Lessmann - Decision Support Systems, 2020 - Elsevier
Digitalization shifts human communication to online platforms, which has many benefits but
also builds up a space for antisocial online behavior (AOB) such as harassment, insult and …

Detecting anomalous online reviewers: An unsupervised approach using mixture models

N Kumar, D Venugopal, L Qiu… - Journal of Management …, 2019 - Taylor & Francis
Online reviews play a significant role in influencing decisions made by users in day-to-day
life. The presence of reviewers who deliberately post fake reviews for financial or other …

[HTML][HTML] Suspicious trading in nonfungible tokens (NFTs)

I Sifat, SA Tariq, D van Donselaar - Information & Management, 2024 - Elsevier
This paper employs a three-pronged approach to examine price patterns in a substantial
chunk of trades in nonfungible token (NFT) transactions to identify suspicious trading …