Exploring Latent Characteristics of Fake Reviews and Their Intermediary Role in Persuading Buying Decisions

Information Systems Frontiers, Journal Year: 2023, Volume and Issue: 26(3), P. 1091 - 1108

Published: May 24, 2023

Abstract Online reviews play a significant role in shaping consumer purchase decisions. Accordingly, emergence of fake has proliferated as an instrument to manipulate customers’ buying preferences. Such manifestation, however, lacks theoretical grounding and remains under researched due two notable challenges: first, absence conceptual underpinnings between consumers’ writing style recommendation behavior. Second, little knowledge about the product characteristics underlying their influence on nudging Through lens environmental psychology, this study uses empirical investigation utilizing natural language processing (NLP) uncover latent product-specific features customer impact persuading As major finding, we observe that reviews, opposed genuine ones, fail or discouragement. suggest firms permitting portals be aware limited economic advantages such practices.

Language: Английский

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The social welfare effect of e-commerce product reputation information asymmetry from the perspective of network externality

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(1), P. e0313852 - e0313852

Published: Jan. 2, 2025

Reputation is the most important intangible asset of merchants. In e-commerce platform market, reputation information has become an signal product quality. However, with increasingly fierce competition among merchants on these platforms, violations information, such as “click farming,” “cash rebate for favorable comments,” and “pay per click,” have caused asymmetry adverse selection. Based network externality perspective, considering duopoly this paper uses game theory to construct a theoretical model compare analyze changes in consumers, merchants, social total welfare when products symmetric asymmetric. The research results show that symmetrical, mechanism can play positive role, income decreases, consumer surplus level increase. increment increases increase consumer-side externality, transfers part value consumers. Due influence asymmetry, violation penalty cost, decreases consumer, merchant, profits, indicating lacks economic motivation govern information. We recommend healthy development platforms proceeds from three aspects: building jointly supervised by third-party institutions, organizations; increasing cost punishment violations; exerting effects enhance competitiveness enterprises.

Language: Английский

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Mitigating collusive manipulation of reviews in e-commerce platforms: Evolutionary game and strategy simulation

Information Processing & Management, Journal Year: 2025, Volume and Issue: 62(4), P. 104080 - 104080

Published: Feb. 24, 2025

Language: Английский

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Autonomous Technology in the Marketplace: the impact of enjoyment on consumer responses

Computers in Human Behavior, Journal Year: 2025, Volume and Issue: unknown, P. 108647 - 108647

Published: March 1, 2025

Language: Английский

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Advancing Firm-Level Digital Technology Diffusion: A Hybrid Bibliometric and Framework-Based Systematic Literature Review

Systems, Journal Year: 2025, Volume and Issue: 13(4), P. 262 - 262

Published: April 8, 2025

The rapid proliferation of digital technologies across industries has created significant opportunities for enterprises, yet a comprehensive and integrated review technology diffusion (DTD) at the firm level remains underexplored. This study addresses this gap by systematically analyzing 87 research articles published between 1993 June 2024 in top-tier management business journals (ranked A* or A ABDC-JQL 2022), sourced from Web Science database. Employing hybrid methodology that combines bibliometric framework-based reviews, provides overview existing on firm-level DTD. By leveraging established theories, contexts, methods, antecedents, decisions, outcomes (TCM-ADO) framework, we consolidate fragmented insights propose future directions. pioneers application TCM-ADO framework to DTD, offering novel taxonomy advances theoretical development.

Language: Английский

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Harnessing dual process theory for online product evaluation based on user-generated content

Industrial Management & Data Systems, Journal Year: 2025, Volume and Issue: unknown

Published: April 9, 2025

Purpose In the vast domain of e-commerce, evaluation products through user-generated content (UGC) has become a crucial factor in how consumers make decisions. This research investigates application dual process theory online product evaluation, focusing on cognitive processes System 1 and 2 shape consumer judgments interact during process. Design/methodology/approach Grounded theory, this presents three distinct models that illustrate UGC both automatic (System 1) deliberate 2) systems. The incorporate various elements UGC, including ratings, textual reviews helpfulness votes, are supported by empirical evidence showing these impact outcomes. Findings highlights role systems shaping formation evaluations. facilitates quick, intuitive based simple clues like average rating, rating distribution while engages more deliberate, analytical processing information. These determine prioritize aspects ultimately influencing their final findings emphasize play determining decision-making. Originality/value By applying to study uncovers new insights into mechanisms driving behavior digital commerce. offer valuable implications for e-commerce platforms marketers, highlighting they can effectively leverage influence evaluations improve decision-making targeted effective way.

Language: Английский

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Adoption and integration of AI in organizations: a systematic review of challenges and drivers towards future directions of research

Kybernetes, Journal Year: 2025, Volume and Issue: unknown

Published: April 18, 2025

Purpose This study aims to detail the current enablers and challenges of AI applications in organizations highlight ways overcome these realize potential this emerging technology. Design/methodology/approach The paper provides a brief history AI. Then it maps state art, consolidates heterogeneous corpus knowledge, investigates impacts technology on insights into possible associated with through systematic review literature conducted PRISMA method thematic analysis. Findings research findings offer an overview most popular techniques within organizations, outlining their value-creation mechanisms. results shed light different topics related challenges, emphasizing implications organizations. Research limitations/implications analysis proposes agenda guide future research, considering identified trends challenges. Originality/value highlights need for multidisciplinary collaboration ongoing assessment ensure that align organizational values goals. It meaningful framework researchers practitioners understand exploit as effective enabler value creation

Language: Английский

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Using artificial intelligence (AI) to enhance customer experience and to develop strategic marketing: An integrative synthesis

Computers in Human Behavior, Journal Year: 2025, Volume and Issue: unknown, P. 108684 - 108684

Published: April 1, 2025

Language: Английский

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Fighting Insurance Fraud with Hybrid AI/ML Models: Discuss the Potential for Combining Approaches for Improved Insurance Fraud Detection

Published: Dec. 15, 2023

The emergence of hybrid AI/ML fashions has allowed for advanced fraud detection within the insurance enterprise. Combining a couple methods including supervised and unsupervised studying, deep herbal language processing, can offer effective set tools to hit upon fraudulent claims. Supervised getting know discover patterns in claims facts that might indiciate fraud, while gaining knowledge alert surprising changes behavior or outliers behavior. Deep mastering analyze enormous quantities information suspicious styles, processing speedy seek massive units keywords. Hybrid help perceive even most state-of-the-art operations stumble on anomalies before they grow be too manipulate. these also leveraged developments become full-size, making an allowance early prevention methods. by way leveraging disparate strategies, insurers are higher able shield themselves from conduct maximize efficiency their tactics..

Language: Английский

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Advancing Semantic Classification: A Comprehensive Examination of Machine Learning Techniques in Analyzing Russian-Language Patient Reviews

Mathematics, Journal Year: 2024, Volume and Issue: 12(4), P. 566 - 566

Published: Feb. 13, 2024

Currently, direct surveys are used less and to assess satisfaction with the quality of user services. One most effective methods solve this problem is extract attitudes from social media texts using natural language text mining. This approach helps obtain more objective results by increasing representativeness independence sample service consumers being studied. The purpose article improve existing test a method for classifying Russian-language reviews patients about work medical institutions doctors, extracted resources. authors developed hybrid tested machine learning various neural network architectures (GRU, LSTM, CNN) achieve goal. More than 60,000 posted on two popular doctor review sites in Russia were analysed. Main results: (1) classification algorithm highly efficient—the best result was shown GRU-based architecture (val_accuracy = 0.9271); (2) application searching named entities messages after their division made it possible increase efficiency each classifiers based use artificial networks. study has scientific novelty practical significance field demographic research. To classification, future, planned expand semantic object appeal sentiment take into account resulting fragments separately other.

Language: Английский

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