Text mining approach to explore determinants of grocery mobile app satisfaction using online customer reviews

Journal of Retailing and Consumer Services, Journal Year: 2023, Volume and Issue: 73, P. 103363 - 103363

Published: April 26, 2023

Language: Английский

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A text mining approach to explore factors influencing consumer intention to use metaverse platform services: Insights from online customer reviews

Journal of Retailing and Consumer Services, Journal Year: 2024, Volume and Issue: 81, P. 103967 - 103967

Published: June 27, 2024

Language: Английский

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Enhancing DDoS Attack Detection and Mitigation in SDN Using an Ensemble Online Machine Learning Model

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 51630 - 51649

Published: Jan. 1, 2024

Software Defined Networks (SDN) offer dynamic reconfigurability and scalability, revolutionizing traditional networking. However, countering Distributed Denial of Service (DDoS) attacks remains a formidable challenge for both SDN-based networks. The integration Machine Learning (ML) into SDN holds promise addressing these threats. While recent research demonstrates ML's accuracy in distinguishing legitimate from malicious traffic, it faces difficulties handling emerging, low-rate, zero-day DDoS due to limited feature scope training. ever-evolving landscape, driven by new protocols, necessitates continuous ML model retraining. In response challenges, we propose an ensemble online machine-learning designed enhance detection mitigation. This approach utilizes learning adapt the with expected attack patterns. is trained evaluated using simulation (Mininet Ryu). Its selection capability overcomes conventional limitations, resulting improved across diverse types. Experimental results demonstrate remarkable 99.2% rate, outperforming comparable models on our custom dataset as well various benchmark datasets, including CICDDoS2019, InSDN, slow-read-DDoS. Moreover, proposed undergoes comparison industry-standard commercial solutions. work establishes strong foundation proactive threat identification mitigation environments, reinforcing network security against evolving cyber risks.

Language: Английский

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Hybrid artificial neural network and structural equation modelling techniques: a survey

Complex & Intelligent Systems, Journal Year: 2021, Volume and Issue: 8(2), P. 1781 - 1801

Published: Aug. 28, 2021

Topical treatments with structural equation modelling (SEM) and an artificial neural network (ANN), including a wide range of concepts, benefits, challenges anxieties, have emerged in various fields are becoming increasingly important. Although SEM can determine relationships amongst unobserved constructs (i.e. independent, mediator, moderator, control dependent variables), it is insufficient for providing non-compensatory constructs. In contrast previous studies, newly proposed methodology that involves dual-stage analysis ANN was performed to provide linear Consequently, numerous distinct types studies diverse sectors conducted hybrid SEM-ANN analysis. Accordingly, the current work supplements academic literature systematic review includes all major techniques used 11 industries published past 6 years. This study presents state-of-the-art classification taxonomy based on compares effort domains classification. To achieve this objective, we examined Web Science, ScienceDirect, Scopus IEEE Xplore® databases retrieve 239 articles from 2016 2021. The obtained were filtered basis inclusion criteria, 60 selected classified under categories. multi-field uncovered new research possibilities, motivations, challenges, limitations recommendations must be addressed synergistic integration multidisciplinary studies. It contributed two points potential future resulting developed taxonomy. First, importance determinants play, musical art therapy adoption autistic children within healthcare sector most important consideration investigations. context, second use barriers adopting sensing-enhanced satisfy provided by sector. indicates manufacturing technology number investigations, whereas construction small- medium-sized enterprise least. will helpful reference academics practitioners guidance insightful knowledge

Language: Английский

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Based on the multi-assessment model: Towards a new context of combining the artificial neural network and structural equation modelling: A review

Chaos Solitons & Fractals, Journal Year: 2021, Volume and Issue: 153, P. 111445 - 111445

Published: Nov. 14, 2021

Language: Английский

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Elevating theoretical insight and predictive accuracy in business research: Combining PLS-SEM and selected machine learning algorithms

Journal of Business Research, Journal Year: 2023, Volume and Issue: 173, P. 114453 - 114453

Published: Dec. 28, 2023

We propose a routine for combining partial least squares-structural equation modeling (PLS-SEM) with selected machine learning (ML) algorithms to exploit the two method's causal-predictive and causal-exploratory capabilities. Triangulating these methods can improve predictive accuracy of research models, enhance understanding relationships, assist in identifying new relationships therewith contribute theorizing. demonstrate advantages challenges triangulating on an illustrative example along four-step-routine: (1) Develop PLS-SEM baseline conceptual model use its standards assess measurement quality generate latent variables scores. (2) Apply specific ML extracted data validate identify (linear) that may go beyond initial hypotheses; similarly, advancements form nonlinearities interaction effects. (3) Evaluate theoretical plausibility alternative models. (4) Integrate models compare using recently proposed prediction-oriented test procedure PLS-SEM.

Language: Английский

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Impact of irritation and negative emotions on the performance of voice assistants: Netting dissatisfied customers’ perspectives

International Journal of Information Management, Journal Year: 2023, Volume and Issue: 72, P. 102662 - 102662

Published: May 13, 2023

Language: Английский

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Aspect-based sentiment classification of user reviews to understand customer satisfaction of e-commerce platforms

Electronic Commerce Research, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 12, 2025

Language: Английский

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Text mining analysis of retail and consumer service leaders' sustainability narratives: Are they actually true?

Journal of Retailing and Consumer Services, Journal Year: 2024, Volume and Issue: 80, P. 103921 - 103921

Published: May 21, 2024

Language: Английский

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A Hybrid Method for Big Data Analysis Using Fuzzy Clustering, Feature Selection and Adaptive Neuro-Fuzzy Inferences System Techniques: Case of Mecca and Medina Hotels in Saudi Arabia

Arabian Journal for Science and Engineering, Journal Year: 2022, Volume and Issue: 48(2), P. 1693 - 1714

Published: June 21, 2022

Language: Английский

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