Exploring antecedents impacting user satisfaction with voice assistant app: A text mining-based analysis on Alexa services

Journal of Retailing and Consumer Services, Journal Year: 2023, Volume and Issue: 76, P. 103586 - 103586

Published: Oct. 27, 2023

Language: Английский

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Dynamic three-way multi-criteria decision making with basic uncertain linguistic information: A case study in product ranking

Applied Soft Computing, Journal Year: 2024, Volume and Issue: 152, P. 111228 - 111228

Published: Jan. 4, 2024

Language: Английский

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Intelligent evaluation system for new energy vehicles based on sentiment analysis: An MG-PL-3WD method

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 133, P. 108485 - 108485

Published: April 25, 2024

Language: Английский

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Considering online reviews and live streaming content simultaneously: research on online review data-driven live streamer product recommendation strategy

Aslib Journal of Information Management, Journal Year: 2025, Volume and Issue: unknown

Published: April 11, 2025

Purpose The rapid growth of live streaming has intensified competition among streamers. A key challenge lies in aligning live-streaming sales strategies with consumer needs to cultivate positive attitudes. Design/methodology/approach Drawing on theories the types consumer–live streamer interaction strategies, uses and satisfaction theory, channel complementarity theory congruence hypothesis content online reviews, this study employs quantitative research investigate how effectively integrate genuine product feature preferences, as reflected messages conveyed by To achieve objective, paper synthesizes machine learning techniques – including information quantity calculation BERT statistical analysis methods such difference testing scenario experiments. Findings results demonstrate that proposed predictive model perceived useful information, which relies quantity, provides notable advantages. Specifically, there is a significant disparity between preferences derived from those identified through traditional consider all available data. Moreover, extracted diverge focal points streamer’s actual explanations. method, aligns explanations, markedly enhances consumers’ purchase intentions. Originality/value This introduces novel metric distinguish reviews broader dataset, integrating it sentiment extraction techniques. Unlike treat equally valuable, approach prioritizes comments based informational value, emotional tone relevance features, providing nuanced precise understanding preferences. By these streamers’ offers data-driven, consumer-centric strategy for improving recommendations engagement commerce. comprehensive framework represents advancement over models reliant data volume alone.

Language: Английский

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An integrated HPF-TODIM-MULTIMOORA approach for car selection through online reviews

Annals of Operations Research, Journal Year: 2024, Volume and Issue: unknown

Published: April 16, 2024

Language: Английский

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Decision-making model for selecting products through online product reviews utilizing natural language processing techniques

Neurocomputing, Journal Year: 2024, Volume and Issue: unknown, P. 128593 - 128593

Published: Sept. 1, 2024

Language: Английский

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Factors influencing recommendations for women's clothing satisfaction: A latent dirichlet allocation approach using online reviews

Journal of Retailing and Consumer Services, Journal Year: 2024, Volume and Issue: 81, P. 104011 - 104011

Published: July 29, 2024

Language: Английский

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A method for exploring consumer satisfaction factors using online reviews: A study on anti-cold drugs

Journal of Retailing and Consumer Services, Journal Year: 2024, Volume and Issue: 81, P. 103895 - 103895

Published: July 30, 2024

Language: Английский

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Predicting determinants influencing user satisfaction with mental health app: An explainable machine learning approach based on unstructured data

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 249, P. 123647 - 123647

Published: March 11, 2024

Language: Английский

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A systematic literature review on payment methods in hospitality and tourism

Information Technology & Tourism, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 8, 2025

Abstract Payment methods have been undergoing a series of developments and changes in recent years due to technological innovations, policy support, epidemics. This literature review comprehensively examines 265 articles on payment over the past decade from various perspectives (consumer, technology, merchant, meso-macro, etc.), focusing research within hospitality tourism sector. Our indicates that while field is less extensive than other domains, it covers wide range topics. The most prevalent scenarios for include restaurants, hotels, transportation, medical tourism, sustainability methods. Among these, mobile payments are extensively explored, digital currencies (including cryptocurrencies Central Bank Digital Currency) poised be next innovation Although biometric received attention, growing habit using biometrics (fingerprints, face recognition) unlock personal devices helping promote this method. Additionally, study identifies areas future focus direction scholars providing both theoretical practical contributions.

Language: Английский

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