How far is reality from vision: An online data-driven method for brand image assessment and maintenance DOI
Xiaoyan Jiang, Jie Lin, Chao Wang

et al.

Information Processing & Management, Journal Year: 2024, Volume and Issue: 61(5), P. 103769 - 103769

Published: May 16, 2024

Language: Английский

Review of artificial neural networks-contribution methods integrated with structural equation modeling and multi-criteria decision analysis for selection customization DOI
A. A. Zaidan, Alhamzah Alnoor,

O. S. Albahri

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2023, Volume and Issue: 124, P. 106643 - 106643

Published: June 26, 2023

Language: Английский

Citations

14

From online reviews to smartwatch recommendation: An integrated aspect-based sentiment analysis framework DOI
Rajeev Kumar Ray, A.R. Singh

Journal of Retailing and Consumer Services, Journal Year: 2024, Volume and Issue: 82, P. 104059 - 104059

Published: Sept. 2, 2024

Language: Английский

Citations

5

A compositional analysis of emotions in Airbnb reviews: online and face-to-face experiences DOI
Júlia Martí-Ochoa, Berta Ferrer-Rosell, Eva Martín-Fuentes

et al.

Tourism Recreation Research, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 15

Published: May 12, 2025

Language: Английский

Citations

0

Measuring service quality with text analytics: Considering both importance and performance of consumer opinions on social and non-social online platforms DOI
Lu Lin, Pei Xu, Yen-Yao Wang

et al.

Journal of Business Research, Journal Year: 2023, Volume and Issue: 169, P. 114298 - 114298

Published: Sept. 29, 2023

Language: Английский

Citations

9

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

Yen‐Chun Chou

Decision Support Systems, Journal Year: 2023, Volume and Issue: 175, P. 114035 - 114035

Published: June 12, 2023

Language: Английский

Citations

8

The tendency of consumers to use online travel agencies from the perspective of the valence framework: The role of openness to change and compatibility DOI Creative Commons
Nguyen Ngoc Hien,

Liem Tan Vo,

Nguyen Thi Ngan

et al.

Journal of Open Innovation Technology Market and Complexity, Journal Year: 2023, Volume and Issue: 10(1), P. 100181 - 100181

Published: Nov. 19, 2023

Using the valence framework, this study examined effect of perceived benefit (utilitarian value and convenience) risk (privacy & security barrier usage constraints) to purchase intention consumers towards online travel agencies (OTAs). Furthermore, impacts personality traits (openness change compatibility) benefit, risk, OTAs are also put under consideration. A research sample, including 494 observations from 18 years old above who have used OTAs, was collected in empirical analyzing, partial least squares structural equation modelling (PLS-SEM) is a suitable choice for assessing validation measurement model construct model. The results indicate that, being consistent significantly affect OTAs. Additionally, openness compatibility has positive influence on benefits negative risk. Openness chance proven positively impact intentions. Based these findings their implications, providers tourism enterprises could plan strategies attracting customers.

Language: Английский

Citations

7

Ethnocentrism and Xenocentrism Among Indian Consumers Towards Global Technology Brands: Importance of Brand Image and Brand Attitude DOI
Ali Kara, S. Shyam Prasad, John E. Spillan

et al.

Journal of International Consumer Marketing, Journal Year: 2024, Volume and Issue: 36(5), P. 503 - 519

Published: April 1, 2024

The purpose of this study is to investigate the role consumer ethnocentrism and xenocentrism beliefs in influencing purchase behavior India. Given its status as most populous nation globally, with diverse cultures backgrounds, understanding Indian consumers' biases toward domestic foreign products holds significant value for both researchers practitioners refining their marketing communication strategies. A technology product, specifically a laptop computer, was selected examine tendencies consumers. Data (n = 373) were collected through personal interviews study's results indicate that perceived brand image attitudes exerted robust positive influence on intentions computers. While direct effects minimal, they acted moderators relationship between image, attitude, brands. Developing strong fostering should be prioritized campaigns enhance global management.

Language: Английский

Citations

2

Exploring cognitive-behavioral drivers impacting consumer continuance intention of fitness apps using a hybrid approach of text mining, SEM, and ANN DOI
Sreevatsa Bellary, Pradip Kumar Bala, Shibashish Chakraborty

et al.

Journal of Retailing and Consumer Services, Journal Year: 2024, Volume and Issue: 81, P. 104045 - 104045

Published: Aug. 19, 2024

Language: Английский

Citations

2

Artificial Neural Network and Structural Equation Modeling in the Future DOI
Marcos Ferasso, Alhamzah Alnoor

Published: Jan. 1, 2022

Much of the literature has focused on marketing such as social commerce and customer intentions. We performed a survey identified 73 articles that dealt with application Structural Equation Modeling (SEM) Artificial Neural Network (ANN) method. However, there is gap in needs to be addressed. In this context, research contributes potential future work by extending mentioned techniques more vital applied topics, entrepreneurship, family business, organization studies, health sector. This chapter describes SEM ANN highlighting issues need further explored based linear nonlinear relations.

Language: Английский

Citations

10

A proposed method for quality evaluation of COVID-19 reusable face mask DOI Creative Commons
Mehrbakhsh Nilashi, Rabab Ali Abumalloh, Hossein Ahmadi

et al.

Measurement and Control, Journal Year: 2024, Volume and Issue: 57(6), P. 828 - 840

Published: Feb. 5, 2024

During the time of COVID-19, use face masks has become an essential control and prevention measure. The wide usage disposable presented a great challenge to governments impact plastic waste on humans health environment. quality reusable was assessed in previous research based general measures such as fabric, size fit, arrival time, price, convenience, more-specific related number layers included filters. However, includes several other dimensions, cannot be enough ensure comprehensive evaluation these products during COVID-19 outbreak. Nowadays, however, digital social media provided venues convenient tools for users share their opinions, preferences, experiences masks. Considering masks, types have been launched online platforms meet increasing demand COVID-19. main goal this study is investigate how can evaluated through customers’ reviews. This proposes combination qualitative (text mining) quantitative (survey-based analysis) approaches provide researchers with method data analysis inspect most influential factors We performed literature review works also collected reviews from Amazon.com find result indicated that experiences, including filteration efficiency, fabric quality, breathability, design, functionality, environmental impact, comfort, easy use, clean, economic donning/doffing, seal, vision, communication safety protection. framework complementary existing methods, which strengths one overcome shortcomings other.

Language: Английский

Citations

1