SGAN-SAM-ERNIE: A Novel and Effective Detection Scheme for Chinese Fake Reviews DOI Creative Commons
Min Zhang, Yuhang Zhang,

Xuanjie Zhang

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 114190 - 114197

Published: Jan. 1, 2024

Language: Английский

Can chatbot customer service match human service agents on customer satisfaction? An investigation in the role of trust DOI
Dongling Huang, Dmitri G. Markovitch, Rusty A. Stough

et al.

Journal of Retailing and Consumer Services, Journal Year: 2023, Volume and Issue: 76, P. 103600 - 103600

Published: Oct. 17, 2023

Language: Английский

Citations

45
Is AI changing learning and assessment as we know it? Evidence from a ChatGPT experiment and a conceptual framework DOI Creative Commons
Oluwaseun Kolade, Adebowale Owoseni, Abiodun Egbetokun

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(4), P. e25953 - e25953

Published: Feb. 1, 2024

Language: Английский

Citations

20
Artificial intelligence and empirical consumer research: A topic modeling analysis DOI
Shashank Vaid, Stefano Puntoni,

AbdulRahman Khodr

et al.

Journal of Business Research, Journal Year: 2023, Volume and Issue: 166, P. 114110 - 114110

Published: June 21, 2023

Language: Английский

Citations

33
Fake review detection in e-Commerce platforms using aspect-based sentiment analysis DOI
Petr Hájek, Lubica Hikkerova, Jean‐Michel Sahut

et al.

Journal of Business Research, Journal Year: 2023, Volume and Issue: 167, P. 114143 - 114143

Published: July 10, 2023

Language: Английский

Citations

23
Exploring virtual and augmented reality in the hospitality industry: A bibliometric analysis DOI Creative Commons
Rab Nawaz Lodhi, Carla Del Gesso, Muhammad Asif

et al.

Tourism and hospitality management, Journal Year: 2024, Volume and Issue: 30(1), P. 67 - 84

Published: Jan. 1, 2024

Purpose – Virtual reality (VR) and augmented (AR) technologies are evolving, with scholars highlighting important roles potential advantages for their use, particularly in the hospitality sector. This bibliometric study examined VR/AR research industry to take stock of literature this field consider future directions. Methodology/Design/Approach Using Web Science database, 213 relevant articles were selected analyzed. Descriptive analysis was conducted using RStudio identify most productive countries, journals, authors, institutions. The influential topics identified keyword co-occurrence VOSviewer. Findings results revealed that sector has recently gained prominence, China leading contributions. Three major clusters themes emerged: (i) impact VR on hospitality, tourism, destinations; (ii) technology enhancing satisfaction performance hotels ; (iii) user acceptance AR travel. Originality offers an overview trends based a data from database. It provides mapping current developments VR/ within sheds light areas research.

Language: Английский

Citations

14
Sentiment analysis for stock market research: A bibliometric study DOI Creative Commons
Xieling Chen, Haoran Xie, Zongxi Li

et al.

Natural Language Processing Journal, Journal Year: 2025, Volume and Issue: unknown, P. 100125 - 100125

Published: Jan. 1, 2025

Language: Английский

Citations

1
Towards the development of an explainable e-commerce fake review index: An attribute analytics approach DOI Creative Commons
Ronnie Das, Wasim Ahmed, Kshitij Sharma

et al.

European Journal of Operational Research, Journal Year: 2024, Volume and Issue: 317(2), P. 382 - 400

Published: March 11, 2024

Instruments of corporate risk and reputation assessment tools are quintessentially developed on structured quantitative data linked to financial ratios macroeconomics. An emerging stream studies has challenged this norm by demonstrating improved model prediction capabilities through unstructured textual data. Fake online consumer reviews pose serious threats a business' competitiveness sales performance, directly impacting revenue, market share, brand even survivability. Research shown that as little three negative can lead potential loss 59.2% customers. Amazon, the largest e-commerce retail platform, hosts over 85,000 small-to-medium-size (SME) retailers (UK), selling fifty percent Amazon products worldwide. Despite Amazon's best efforts, fake growing problem causing reputational damage at scale never seen before. While large corporations better equipped handle these problems more efficiently, SMEs become biggest victims scam tactics. Following principles attribute (AA) responsible (RA) analytics, we present novel hybrid method for indexing enterprise call Review Index (RFRI). The proposed modular approach benefits from combination review metadata semantic topic index derived product reviews. We further apply LIME develop Confidence Score, demonstrates importance explainability openness in contemporary analytics within OR domain. Transparency, simplicity our roadmap offers an attractive entry platform practitioners managers industry.

Language: Английский

Citations

8
Antecedents and consequences of fake reviews in a marketing approach: An overview and synthesis DOI
Jean‐Michel Sahut, Michel Laroche, Éric Braune

et al.

Journal of Business Research, Journal Year: 2024, Volume and Issue: 175, P. 114572 - 114572

Published: Feb. 21, 2024

Language: Английский

Citations

7
The influence of energy-saving information in online reviews on green home appliance purchase behavior based on machine learning DOI
Lanlan Li,

Xiaomeng Yuan

Energy and Buildings, Journal Year: 2024, Volume and Issue: 314, P. 114296 - 114296

Published: May 14, 2024

Language: Английский

Citations

6
ChatGPT paraphrased product reviews can confuse consumers and undermine their trust in genuine reviews. Can you tell the difference? DOI
Konstantinos F. Xylogiannopoulos, Petros Xanthopoulos, Panagiotis Karampelas

et al.

Information Processing & Management, Journal Year: 2024, Volume and Issue: 61(6), P. 103842 - 103842

Published: July 18, 2024

Language: Английский

Citations

5