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

AS Albahri, A Alnoor, AA Zaidan, OS Albahri… - Chaos, Solitons & …, 2021 - Elsevier
Theoretical models have become increasingly complex, but the dual-phase structural
equation modelling (SEM) and artificial neural network analysis can be used by scholars to …

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

V Kumari, PK Bala, S Chakraborty - Journal of Retailing and Consumer …, 2024 - Elsevier
Metaverse technology has recreated real-world surroundings into a virtual setting that has
caught the attention of many consumers and brands. Metaverse platforms are facilitating …

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

A Kumar, S Chakraborty, PK Bala - Journal of retailing and consumer …, 2023 - Elsevier
In recent years, there has been proliferation of grocery mobile apps as grocery shopping on
mobile has found increasing acceptance among customers accelerated by multiple factors …

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

AS Albahri, A Alnoor, AA Zaidan, OS Albahri… - Complex & Intelligent …, 2022 - Springer
Topical treatments with structural equation modelling (SEM) and an artificial neural network
(ANN), including a wide range of concepts, benefits, challenges and anxieties, have …

Review of artificial neural networks-contribution methods integrated with structural equation modeling and multi-criteria decision analysis for selection customization

AA Zaidan, A Alnoor, OS Albahri… - … Applications of Artificial …, 2023 - Elsevier
This study presents a review of literature on the usage of artificial neural networks (ANNs)
architecture contribution method and structural equation modeling (SEM), and proposes a …

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

S Jain, S Basu, A Ray, R Das - International Journal of Information …, 2023 - Elsevier
With the rising popularity of voice assistants like Alexa, Siri, etc., understanding the service
gaps experienced by customers has become imperative. In unison, limited studies are …

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

NF Richter, AA Tudoran - Journal of Business Research, 2024 - Elsevier
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 …

From online reviews to smartwatch recommendation: An integrated aspect-based sentiment analysis framework

RK Ray, A Singh - Journal of Retailing and Consumer Services, 2025 - Elsevier
In the current landscape, smartwatches have gained popularity as wearable devices thanks
to their fitness tracking and health monitoring capabilities. However, the abundance of …

Exploring cognitive-behavioral drivers impacting consumer continuance intention of fitness apps using a hybrid approach of text mining, SEM, and ANN

S Bellary, PK Bala, S Chakraborty - Journal of Retailing and Consumer …, 2024 - Elsevier
Amidst the digital revolution, consumer wellness services have been transformed by the
proliferation of health and fitness apps (HFAs). Leveraging the information systems …

How much is too much? The nonlinear link between emotional arousal and review helpfulness

YC Chou - Decision Support Systems, 2023 - Elsevier
Online reviews affect consumer purchase decisions and become prevalent in different
sectors. Platforms elicit useful reviews by allowing consumers to vote for helpfulness. The …