Analysis of the Factors Influencing the Intention to Share Information: Word-of-Mouth About Fast-Food Restaurants DOI Creative Commons

Gabriel Germán Usiña-Báscones,

Andrés García-Umaña, Iván Veas-González

et al.

Foods, Journal Year: 2024, Volume and Issue: 13(22), P. 3559 - 3559

Published: Nov. 7, 2024

In a highly competitive market, word-of-mouth (WOM) has become one of the most effective ways to attract new customers, as consumer opinions are seen reliable and have direct impact on their consumption habits. Based this premise, present study aimed analyze factors that influence fast-food restaurant consumers in Chile intention share information. A quantitative approach was adopted for analysis, using cross-sectional correlational design, which included 739 Chilean consumers, who were given 25-item questionnaire. This questionnaire developed from previous research field validated by panel experts marketing research. The data analysis conducted statistical software Smart PLS 4, allowing evaluation model's convergent discriminant validity, well facilitating hypothesis testing through structural equation modeling. results showed physical atmosphere restaurants generates both hedonic utilitarian value increases satisfaction reinforces recommend these restaurants. conclusion, provides valuable insights into behavior, offering solid foundation strategic decision making could enhance positioning market create loyalty cycle among customers.

Language: Английский

Influencing Factors on Drivers’ Satisfaction Towards Automated Vehicle with Different Levels of Automation: Incorporating Intentions to Repurchase and Recommend DOI
Jingyu Li, Weihua Zhang,

Zhongxiang Feng

et al.

International Journal of Human-Computer Interaction, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 15

Published: March 27, 2025

Language: Английский

Citations

0
Factors Influencing Consumer Willingness to Use AI-Driven Autonomous Taxis DOI Creative Commons

Tingyu Liu,

Yizhou Zhang, Mengze Zhang

et al.

Behavioral Sciences, Journal Year: 2024, Volume and Issue: 14(12), P. 1216 - 1216

Published: Dec. 18, 2024

The advancement of autonomous driving technology, particularly Tesla’s launch its new Robotaxi, marks a transformation in transportation. Understanding the theoretical mechanisms that drive consumers’ intention to use taxis is essential. This study develops structural equation model (SEM), extending applicability TAM and TPB model, incorporates external factors like attitudes, subjective norms, traffic efficiency, perceived cost–benefit into analyze their impact on characteristics (perceived usefulness ease use). A survey 427 valid responses revealed all have significant positive impacts use, which, turn, are primary drivers use. Additionally, risk significantly weakens effects underscoring critical moderating role technology acceptance process. paper suggests strategies enhance consumer acceptance, including strengthening user perception through marketing public experience activities, optimizing improve experience, reinforcing safety privacy measures reduce risk, highlighting insurance mechanism, convenience, economic benefits marketing.

Language: Английский

Citations

1
Analysis of the Factors Influencing the Intention to Share Information: Word-of-Mouth About Fast-Food Restaurants DOI Creative Commons

Gabriel Germán Usiña-Báscones,

Andrés García-Umaña, Iván Veas-González

et al.

Foods, Journal Year: 2024, Volume and Issue: 13(22), P. 3559 - 3559

Published: Nov. 7, 2024

In a highly competitive market, word-of-mouth (WOM) has become one of the most effective ways to attract new customers, as consumer opinions are seen reliable and have direct impact on their consumption habits. Based this premise, present study aimed analyze factors that influence fast-food restaurant consumers in Chile intention share information. A quantitative approach was adopted for analysis, using cross-sectional correlational design, which included 739 Chilean consumers, who were given 25-item questionnaire. This questionnaire developed from previous research field validated by panel experts marketing research. The data analysis conducted statistical software Smart PLS 4, allowing evaluation model's convergent discriminant validity, well facilitating hypothesis testing through structural equation modeling. results showed physical atmosphere restaurants generates both hedonic utilitarian value increases satisfaction reinforces recommend these restaurants. conclusion, provides valuable insights into behavior, offering solid foundation strategic decision making could enhance positioning market create loyalty cycle among customers.

Language: Английский

Citations

0