--- title: "Predicting the revisit intention of volunteer tourists using the merged model between the theory of planned behavior and norm activation model" url: "https://conversion.stevebaka.de/studien/10-1080-10548408-2020-1784364/" type: "study" language: de-DE description: "Despite the importance of the theory of planned behavior (TPB) and norm activation model (NAM) in explicating revisit intention, predictions based on the merging of these theories remain sparse in the youth volunteer tourism segment. To understand revisit intention formation, a meta-analysis is performed to draw a macro conclusion using prosocial studies as a representative of volunteer tourism in investigating the predictive power of the aforementioned-merged theories. Subsequently, latent growth curve modeling is applied to extend the understanding of tourist type identification to volunteer tourism research. The introduction of NAM into TPB marginally adds value to predictive power." --- # Predicting the revisit intention of volunteer tourists using the merged model between the theory of planned behavior and norm activation model > Predicting the revisit intention of volunteer tourists using the merged model between the theory of planned behavior and norm activation model: Despite the importance of the theory of planned behavior (TPB) and norm activation model (NAM) in explicating revisit intention, predictions based on the merging of these theories remain sparse in the youth volunteer tourism segment. To understand revisit intention formation, a meta-analysis is performed to draw a macro conclusion using prosocial studies as a representative of volunteer tourism in investigating the predictive power of the aforementioned-merged theories. Subsequently, latent growth curve modeling is applied to extend the understanding of tourist type identification to volunteer tourism research. The introduction of NAM into TPB marginally adds value to predictive power. Evidenzgrad B, Risk of Bias unclear. ## Quelle Autor:innen: Noppadol Manosuthi, Jin‐Soo Lee, Heesup Han Jahr: 2020 Journal/Quelle: Journal of Travel & Tourism Marketing DOI: 10.1080/10548408.2020.1784364 APA: Manosuthi, N., Lee, J., & Han, H. (2020). Predicting the revisit intention of volunteer tourists using the merged model between the theory of planned behavior and norm activation model. Journal of Travel & Tourism Marketing. https://doi.org/10.1080/10548408.2020.1784364 Zitationen laut Paper-Korpus: 125 ## Forschungsfrage / Summary Despite the importance of the theory of planned behavior (TPB) and norm activation model (NAM) in explicating revisit intention, predictions based on the merging of these theories remain sparse in the youth volunteer tourism segment. To understand revisit intention formation, a meta-analysis is performed to draw a macro conclusion using prosocial studies as a representative of volunteer tourism in investigating the predictive power of the aforementioned-merged theories. Subsequently, latent growth curve modeling is applied to extend the understanding of tourist type identification to volunteer tourism research. The introduction of NAM into TPB marginally adds value to predictive power. ## Methode und Evidenzqualität [Studien](/studien/)typ: Studie Risk of Bias: unclear Evidenzgrad: B ## Key Findings Evidence-Fill Queue: Findings werden aus Volltext, Abstract und Review-Notizen konsolidiert. ## Effektgrößen / Outcomes Evidence-Fill Queue: Effektgrößen und Outcomes werden aus Volltext-Extraktionen priorisiert. ## Conversion-Implikationen Evidence-Fill Queue: Conversion-Implikationen werden nur ausgespielt, wenn Mechanismus, Kontext und Messgröße ableitbar sind. ## Limitationen Evidence-Fill Queue: Limitationen werden aus Risk-of-Bias-, Sample- und Methodikfeldern ergänzt. ## Verknüpfte Konzepte - [Social Proof](/konzepte/social-proof/) ## Unterstützte Claims - [Der untersuchte Consumer-Psychology-Effekt ist potenziell relevant für Conversion-Optimierung, benötigt aber noch genauere Claim-Extraktion.](/claims/consumer-psychology-effect-relevant-to-conversion/) ## FAQ ### Worum geht es in dieser Studie? Predicting the revisit intention of volunteer tourists using the merged model between the theory of planned behavior and norm activation model: Despite the importance of the theory of planned behavior (TPB) and norm activation model (NAM) in explicating revisit intention, predictions based on the merging of these theories remain sparse in the youth volunteer tourism segment. To understand revisit intention formation, a meta-analysis is performed to draw a macro conclusion using prosocial studies as a representative of volunteer tourism in investigating the predictive power of the aforementioned-merged theories. Subsequently, latent growth curve modeling is applied to extend the understanding of tourist type identification to volunteer tourism research. The introduction of NAM into TPB marginally adds value to predictive power. Evidenzgrad B, Risk of Bias unclear. ### Welche Evidenz wird genutzt? Die Seite nutzt Claims, Studien, Use Cases und Quellen aus dem SurrealDB Knowledge Graph der Conversion-Psychologie-Wissensbasis. ### Ist die Ausgabe auf Deutsch verfügbar? Ja. Alle menschenlesbaren Inhalte und Agent-Ausgaben sind standardmäßig deutsch. ## Quellen - Manosuthi, N., Lee, J., & Han, H. (2020). Predicting the revisit intention of volunteer tourists using the merged model between the theory of planned behavior and norm activation model. Journal of Travel & Tourism Marketing. https://doi.org/10.1080/10548408.2020.1784364 [Quelle öffnen](https://doi.org/10.1080/10548408.2020.1784364) ## JSON-LD ```json { "@context": "https://schema.org", "@graph": [ { "@type": "WebSite", "@id": "https://conversion.stevebaka.de/#website", "url": "https://conversion.stevebaka.de", "name": "conversion.stevebaka.de", "description": "Deutschsprachige Wissensbasis und Audit-Plattform für evidenzbasierte Conversion-Psychologie.", "publisher": { "@id": "https://conversion.stevebaka.de/#organization" } }, { "@type": "Organization", "@id": "https://conversion.stevebaka.de/#organization", "name": "conversion.stevebaka.de", "url": "https://conversion.stevebaka.de", "parentOrganization": { "@id": "https://stevebaka.de/#organization" }, "sameAs": [ "https://stevebaka.de" ] }, { "@type": "Person", "@id": "https://conversion.stevebaka.de/autoren/steve-baka/#person", "name": "Steve Baka", "url": "https://conversion.stevebaka.de/autoren/steve-baka/", "sameAs": [ "https://stevebaka.de" ], "jobTitle": "Conversion- und AI-Infrastructure-Berater", "knowsAbout": [ "Conversion-Psychologie", "Verkaufspsychologie", "Behavioral Science", "GraphRAG", "SurrealDB", "D-A-CH Conversion Optimierung" ] }, { "@type": "WebPage", "@id": "https://conversion.stevebaka.de/studien/10-1080-10548408-2020-1784364/#webpage", "url": "https://conversion.stevebaka.de/studien/10-1080-10548408-2020-1784364/", "name": "Predicting the revisit intention of volunteer tourists using the merged model between the theory of planned behavior and norm activation model", "description": "Despite the importance of the theory of planned behavior (TPB) and norm activation model (NAM) in explicating revisit intention, predictions based on the merging of these theories remain sparse in the youth volunteer tourism segment. To understand revisit intention formation, a meta-analysis is performed to draw a macro conclusion using prosocial studies as a representative of volunteer tourism in investigating the predictive power of the aforementioned-merged theories. Subsequently, latent growth curve modeling is applied to extend the understanding of tourist type identification to volunteer tourism research. The introduction of NAM into TPB marginally adds value to predictive power.", "inLanguage": "de-DE", "isPartOf": { "@id": "https://conversion.stevebaka.de/#website" }, "breadcrumb": { "@id": "https://conversion.stevebaka.de/studien/10-1080-10548408-2020-1784364/#breadcrumb" }, "datePublished": "2026-07-01", "dateModified": "2026-07-04", "mainEntity": { "@id": "https://conversion.stevebaka.de/studien/10-1080-10548408-2020-1784364/#article" } }, { "@type": "ScholarlyArticle", "@id": "https://conversion.stevebaka.de/studien/10-1080-10548408-2020-1784364/#article", "headline": "Predicting the revisit intention of volunteer tourists using the merged model between the theory of planned behavior and norm activation model", "name": "Predicting the revisit intention of volunteer tourists using the merged model between the theory of planned behavior and norm activation model", "description": "Despite the importance of the theory of planned behavior (TPB) and norm activation model (NAM) in explicating revisit intention, predictions based on the merging of these theories remain sparse in the youth volunteer tourism segment. To understand revisit intention formation, a meta-analysis is performed to draw a macro conclusion using prosocial studies as a representative of volunteer tourism in investigating the predictive power of the aforementioned-merged theories. Subsequently, latent growth curve modeling is applied to extend the understanding of tourist type identification to volunteer tourism research. The introduction of NAM into TPB marginally adds value to predictive power.", "inLanguage": "de-DE", "author": { "@id": "https://conversion.stevebaka.de/autoren/steve-baka/#person" }, "publisher": { "@id": "https://conversion.stevebaka.de/#organization" }, "mainEntityOfPage": { "@id": "https://conversion.stevebaka.de/studien/10-1080-10548408-2020-1784364/#webpage" }, "datePublished": "2026-07-01", "dateModified": "2026-07-04", "citation": [ "https://doi.org/10.1080/10548408.2020.1784364" ], "mentions": [], "text": "Predicting the revisit intention of volunteer tourists using the merged model between the theory of planned behavior and norm activation model: Despite the importance of the theory of planned behavior (TPB) and norm activation model (NAM) in explicating revisit intention, predictions based on the merging of these theories remain sparse in the youth volunteer tourism segment. To understand revisit intention formation, a meta analysis is performed to draw a macro conclusion using prosocial studies as a representative of volunteer tourism in investigating the predictive power of the aforementioned merged theories. Subsequently, latent growth curve modeling is applied to extend the understanding of tourist type identification to volunteer tourism research. The introduction of NAM into TPB marginally adds value to predictive power. Evidenzgrad B, Risk of Bias unclear. Quelle. Autor:innen: Noppadol Manosuthi, Jin‐Soo Lee, Heesup Han Jahr: 2020 Journal/Quelle: Journal of Travel & Tourism Marketing DOI: 10.1080/10548408.2020.1784364 APA: Manosuthi, N., Lee, J., & Han, H. (2020). Predicting the revisit intention of volunteer tourists using the merged model between the theory of planned behavior and norm activation model. Journal of Travel & Tourism Marketing. https://doi.org/10.1080/10548408.2020.1784364 Zitationen laut Paper Korpus: 125 Forschungsfrage / Summary. Despite the importance of the theory of planned behavior (TPB) and norm activation model (NAM) in explicating revisit intention, predictions based on the merging of these theories remain sparse in the youth volunteer tourism segment. To understand revisit intention formation, a meta analysis is performed to draw a macro conclusion using prosocial studies as a representative of volunteer tourism in investigating the predictive power of the aforementioned merged theories. Subsequently, latent growth curve modeling is applied to extend the understanding of tourist type identification to volunteer tourism research. The introduction of NAM into TPB marginally adds value to predictive power. Methode und Evidenzqualität. Studientyp: Studie Risk of Bias: unclear Evidenzgrad: B Key Findings. Evidence Fill Queue: Findings werden aus Volltext, Abstract und Review Notizen konsolidiert. Effektgrößen / Outcomes. Evidence Fill Queue: Effektgrößen und Outcomes werden aus Volltext Extraktionen priorisiert. Conversion Implikationen. Evidence Fill Queue: Conversion Implikationen werden nur ausgespielt, wenn Mechanismus, Kontext und Messgröße ableitbar sind. Limitationen. Evidence Fill Queue: Limitationen werden aus Risk of Bias , Sample und Methodikfeldern ergänzt. Verknüpfte Konzepte. Social Proof Unterstützte Claims. Der untersuchte Consumer Psychology Effekt ist potenziell relevant für Conversion Optimierung, benötigt aber noch genauere Claim Extraktion.", "learningResourceType": "Evidence source", "isBasedOn": [ "https://doi.org/10.1080/10548408.2020.1784364" ], "about": [] }, { "@type": "BreadcrumbList", "@id": "https://conversion.stevebaka.de/studien/10-1080-10548408-2020-1784364/#breadcrumb", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "Startseite", "item": "https://conversion.stevebaka.de/" }, { "@type": "ListItem", "position": 2, "name": "Predicting the revisit intention of volunteer tourists using the merged model between the theory of planned behavior and norm activation model", "item": "https://conversion.stevebaka.de/studien/10-1080-10548408-2020-1784364/" } ] }, { "@type": "FAQPage", "@id": "https://conversion.stevebaka.de/studien/10-1080-10548408-2020-1784364/#faq", "inLanguage": "de-DE", "mainEntity": [ { "@type": "Question", "name": "Worum geht es in dieser Studie?", "acceptedAnswer": { "@type": "Answer", "text": "Predicting the revisit intention of volunteer tourists using the merged model between the theory of planned behavior and norm activation model: Despite the importance of the theory of planned behavior (TPB) and norm activation model (NAM) in explicating revisit intention, predictions based on the merging of these theories remain sparse in the youth volunteer tourism segment. To understand revisit intention formation, a meta-analysis is performed to draw a macro conclusion using prosocial studies as a representative of volunteer tourism in investigating the predictive power of the aforementioned-merged theories. Subsequently, latent growth curve modeling is applied to extend the understanding of tourist type identification to volunteer tourism research. The introduction of NAM into TPB marginally adds value to predictive power. Evidenzgrad B, Risk of Bias unclear." } }, { "@type": "Question", "name": "Welche Evidenz wird genutzt?", "acceptedAnswer": { "@type": "Answer", "text": "Die Seite nutzt Claims, Studien, Use Cases und Quellen aus dem SurrealDB Knowledge Graph der Conversion-Psychologie-Wissensbasis." } }, { "@type": "Question", "name": "Ist die Ausgabe auf Deutsch verfügbar?", "acceptedAnswer": { "@type": "Answer", "text": "Ja. Alle menschenlesbaren Inhalte und Agent-Ausgaben sind standardmäßig deutsch." } } ] } ] } ```