In EDS ansehen

Predicting the Determinants of Recomendation of Online Food Delivery Apps: A Hybrid SEM-Neural Network Approach.

Gespeichert in:
Bibliographische Detailangaben
Titel: Predicting the Determinants of Recomendation of Online Food Delivery Apps: A Hybrid SEM-Neural Network Approach.
Autoren: Alcántara-Pilar, Juan Miguel1 (AUTHOR), Rodriguez-López, María Eugenia1 (AUTHOR), Kalinić, Zoran2 (AUTHOR), Liébana-Cabanillas, Francisco3,4 (AUTHOR) franlieb@ugr.es
Quelle: International Journal of Human-Computer Interaction. Oct2025, Vol. 41 Issue 19, p12559-12570. 12p.
Schlagwörter: *CONSUMER behavior, *LOCAL delivery services, *ARTIFICIAL neural networks, *ADVERTISING endorsements, STRUCTURAL equation modeling, INTRINSIC motivation
Abstract: Advancements in technology coupled with shifts in consumer behavior have precipitated a notable surge in the utilization of Food Delivery Apps (FDAs). This study endeavors to scrutinize the contemporary landscape of these delivery services and dissect the factors influencing user recommendations. To achieve this objective, an online survey was administered to a cohort of 210 respondents with prior experience in employing FDAs. In the initial phase, Structural Equation Modeling (SEM) was employed to discern the determinants underpinning the endorsement of these apps. The subsequent phase concentrated on assessing the most impactful predictors. The findings underscore that Autotelic experience, Ability/challenge, Perceived control, and Attitude stand out as significant influencers in the recommendation of FDAs. The study not only sheds light on managerial implications but also proffers avenues for prospective research. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Datenbank: Business Source Index
Beschreibung
Abstract:Advancements in technology coupled with shifts in consumer behavior have precipitated a notable surge in the utilization of Food Delivery Apps (FDAs). This study endeavors to scrutinize the contemporary landscape of these delivery services and dissect the factors influencing user recommendations. To achieve this objective, an online survey was administered to a cohort of 210 respondents with prior experience in employing FDAs. In the initial phase, Structural Equation Modeling (SEM) was employed to discern the determinants underpinning the endorsement of these apps. The subsequent phase concentrated on assessing the most impactful predictors. The findings underscore that Autotelic experience, Ability/challenge, Perceived control, and Attitude stand out as significant influencers in the recommendation of FDAs. The study not only sheds light on managerial implications but also proffers avenues for prospective research. [ABSTRACT FROM AUTHOR]
ISSN:10447318
DOI:10.1080/10447318.2025.2462753