An Integrated Model of the Effective Television PSAs on Giving Behavior
Taeho YohAuthor-Name: Meungguk Park
International Journal of Academic Research in Business and Social Sciences, 2015, vol. 5, issue 5, 233-247
Abstract:
The authors develop a conceptual framework to provide a more effective integrated model for non-profit organizations, that use public service advertisements, to appeal and stimulate individuals’ helping behaviors (donations). The integrated model includes; antecedents, TV public service advertisements (affective vs. cognitive and dynamic vs. static ads), moderators (individual demographics, empathic tendencies, and involvement), mediators (responses to ads, attitude toward giving, and donation intention), and consequences (making donations). The distinct features of the model, as compared to previous models, include: (1) a more theoretical integration of variables, (2) a more logical flow of those variables, and (3) a more testable provision of research propositions. The implications for both academic and practical areas are provided.
Keywords: Public Service Advertisements; Giving Behavior; Non-profit organizations (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://hrmars.com/hrmars_papers/An_Integrated_Mode ... _Giving_Behavior.pdf (application/pdf)
http://hrmars.com/hrmars_papers/An_Integrated_Mode ... _Giving_Behavior.pdf (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hur:ijarbs:v:5:y:2015:i:5:p:233-247
Access Statistics for this article
More articles in International Journal of Academic Research in Business and Social Sciences from Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences
Bibliographic data for series maintained by Hassan Danial Aslam ().