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Exploring persuasive message strategy for international aid campaigns: potential donors’ inter-attitudinal structure using Galileo model

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  • Yon Lim

Abstract

This study explored a persuasive message strategy for aid promotion by considering the structure of donors’ attitudes toward international aid. Traditional studies on aid campaigns have usually overlooked the dynamics of inter-attitudinal structure and have focused on message framings rather than quality message. The Galileo spatial-linkage model represents the attitudinal structure within a spatial coordinate system. A public opinion survey with 218 college students was conducted. The results indicated that potential donors are unconcerned about international aid; however, the attitude can be changed into a well-disposed attitude. In this study, a persuasive message strategy was suggested. A compound message focusing on relatively close issues to donors would facilitate positive attitude change to participate in international aid projects. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Yon Lim, 2015. "Exploring persuasive message strategy for international aid campaigns: potential donors’ inter-attitudinal structure using Galileo model," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1397-1415, July.
  • Handle: RePEc:spr:qualqt:v:49:y:2015:i:4:p:1397-1415
    DOI: 10.1007/s11135-014-0065-0
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    1. Bozinoff, Lorne & Ghingold, Morry, 1983. "Evaluating guilt arousing marketing communications," Journal of Business Research, Elsevier, vol. 11(2), pages 243-255, June.
    2. Arun Vishwanath & Hao Chen, 2006. "Technology clusters: Using multidimensional scaling to evaluate and structure technology clusters," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(11), pages 1451-1460, September.
    3. Junghoon Moon & Cheul Rhee & Hyunjeong Kang & G. Lawrence Sanders, 2010. "Gaining Insight into Cognitive Structure Using GALILEO Method: Where is Your Web Site in the Customers' Cognitive Space?," Journal of Electronic Commerce in Organizations (JECO), IGI Global, vol. 8(1), pages 26-40, January.
    4. Seong Eun Cho & Han Woo Park, 2012. "Government organizations’ innovative use of the Internet: The case of the Twitter activity of South Korea’s Ministry for Food, Agriculture, Forestry and Fisheries," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 9-23, January.
    5. Chung Joo Chung, 2014. "An analysis of the status of the Triple Helix and university–industry–government relationships in Asia," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 139-149, April.
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