Lecture notes in information systems and organisation, Год журнала: 2024, Номер unknown, С. 13 - 32
Опубликована: Янв. 1, 2024
Язык: Английский
Lecture notes in information systems and organisation, Год журнала: 2024, Номер unknown, С. 13 - 32
Опубликована: Янв. 1, 2024
Язык: Английский
Asia Pacific Journal of Marketing and Logistics, Год журнала: 2025, Номер unknown
Опубликована: Янв. 27, 2025
Purpose Up to 89.1% of consumers have changed their decisions due the influence online reviews. In order increase number reviews, some websites and platforms adopted feedback incentives. Research shows that offering review incentives does likelihood writing However, reward system also brings problems. Consumers may doubt authenticity product reviews are incentivized by rewards, believing reviewers only for personal gain, which has a negative impact on credibility To address this issue, study proposes mechanism mandatory disclosure as research demonstrates transparent communication platform’s efforts can substantially boost helpfulness restore trust in platforms, even improve purchase intentions. Design/methodology/approach This applies S-O-R (Stimulus-Organism-Response) theoretical framework utilizes simulated situational questionnaire investigate consumers' emotional behavioral responses within context system. The model identifies four key constructs: quality Stimulus, usefulness Organism, intention Response. Data were collected through subsequently analyzed understand these relationships. Findings results show significant positive credibility, intention. Similarly, impacts Originality/value mitigate potential effects systems, introduces examines its using questionnaire. hypothesizes rewarded enables identify may, turn, enhance
Язык: Английский
Процитировано
1Psychology and Marketing, Год журнала: 2025, Номер unknown
Опубликована: Март 25, 2025
ABSTRACT In the digital age, online reviews play a critical role in consumer decision‐making. Despite growing interest fake reviews, personality antecedents of posting such remain largely unexplored. This study addresses this gap by investigating influence Dark Triad traits on behavior reviews. Leveraging Interpersonal Deception Theory, we apply natural language processing techniques to detect Amazon's data set and employ logistic regression modeling examine relationship between these deceptive behavior. Our findings reveal that Machiavellians use as calculated tools manipulate perceptions, whereas narcissists, driven their need for validation fear detection, avoid protect credibility self‐image. Furthermore, psychopaths' impulsivity short‐term focus deter them from cognitively demanding task crafting plausible These new insights into distinct effects each trait enhance theoretical models offer practical implications. Incorporating personality‐based metrics review detection systems can help businesses safeguard platform integrity promote authentic feedback.
Язык: Английский
Процитировано
1International Journal of Hospitality Management, Год журнала: 2024, Номер 120, С. 103775 - 103775
Опубликована: Май 7, 2024
Язык: Английский
Процитировано
9Information Processing & Management, Год журнала: 2025, Номер 62(4), С. 104080 - 104080
Опубликована: Фев. 24, 2025
Язык: Английский
Процитировано
0Computers in Human Behavior, Год журнала: 2025, Номер unknown, С. 108684 - 108684
Опубликована: Апрель 1, 2025
Язык: Английский
Процитировано
0Springer proceedings in business and economics, Год журнала: 2025, Номер unknown, С. 388 - 398
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0Cogent Business & Management, Год журнала: 2025, Номер 12(1)
Опубликована: Май 23, 2025
Язык: Английский
Процитировано
0Australasian Marketing Journal (AMJ), Год журнала: 2024, Номер unknown
Опубликована: Окт. 28, 2024
Reviews have become an essential part of consumer decision-making. However, the rise in fake reviews can lead consumers astray and provide misleading information to sell more products or harm competing brands. This study systematically analyzes 229 studies on using structural topic modeling. The outlines antecedents, decisions, outcomes (ADO) marketing summarizes theories, contexts, methods (TCM) used by research this domain. Additionally, integrates sender, message, channel, receiver (SMCR) communication model with dual-factor theory propose a comprehensive framework that categorizes factors contribute inhibit creation transmission along their implications. Finally, opportunities for further provides equivalent recommendations marketers researchers deal reviews.
Язык: Английский
Процитировано
1European Journal of Marketing, Год журнала: 2024, Номер 58(12), С. 2670 - 2704
Опубликована: Ноя. 12, 2024
Purpose Although online reviews have become a key source of information for consumer purchasing decisions, little is known about how the concreteness language used in these influences perceptions deception. This study aims to address this important gap by drawing on psycholinguistic research and Language Expectancy Theory examine when (abstract vs concrete) impacts consumers’ perceived Design/methodology/approach Two scenario-based experiments were conducted deception, considering mediating role psychological distance moderating effects Machiavellianism (Mach) reviewer identity disclosure. Findings Online that include concrete lead lower deception reducing from review. For consumers with higher levels Mach, written abstract (vs result via distance, while abstract) distance. Research limitations/implications To best authors’ knowledge, one first highlight relevance linguistic style (i.e. review review) toward context e-commerce. Practical implications The framework enables managers retailing platforms identify most effective strategies decrease appropriate utilize styles reviews. Originality/value contributes both theory practice deepening knowledge affects helping make effective\ during shopping.
Язык: Английский
Процитировано
0Lecture notes in information systems and organisation, Год журнала: 2024, Номер unknown, С. 13 - 32
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
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