IDEAS home Printed from https://ideas.repec.org/a/eco/journ3/2019-05-2.html
   My bibliography  Save this article

Analysis of the Relationship Between Image, Social Media, and Attitude to Predict Intention to Choose: An Empirical Investigation of Presidential Election in Indonesia

Author

Listed:
  • Sabrina O. Sihombing

    (Faculty of Economics and Business, Universitas Pelita Harapan, Indonesia)

Abstract

Research focusing on presidential, regional, and legislative elections has been conducted by previous researchers. However, there is little research comparing business and non-business respondents in predicting presidential intentions. Therefore, this study aims to compare student respondents from business schools and non-business students in predicting the intention of choosing a president. Moreover, Indonesia will undergo presidential election in 2019 where young voters such as college students are voters in significant amounts. Young voters are often identified as swing voters which their attitudes toward the candidates they choose are influenced by information from social media and the image of the presidential candidate. This study involved 214 respondents from both science and non-science education background. The data was analyzed by applying the structural equation modeling. The results of the study showed that there was no difference in study results for respondents with scientific backgrounds and respondents with non-scientific backgrounds. Both types of respondents show the same results that only 1 dimension of the variable of image that has a positive relationship with the attitude towards the candidate candidates. This dimension is charm. The result also shows that there is significant relationship between attitudes toward choosing the candidate with intention to choose the candidate. This study provides results discussion, managerial implications, and recommendation for future research.

Suggested Citation

  • Sabrina O. Sihombing, 2019. "Analysis of the Relationship Between Image, Social Media, and Attitude to Predict Intention to Choose: An Empirical Investigation of Presidential Election in Indonesia," International Review of Management and Marketing, Econjournals, vol. 9(5), pages 9-16.
  • Handle: RePEc:eco:journ3:2019-05-2
    as

    Download full text from publisher

    File URL: https://www.econjournals.com/index.php/irmm/article/download/8386/pdf
    Download Restriction: no

    File URL: https://www.econjournals.com/index.php/irmm/article/view/8386/pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kaplan, Andreas M. & Haenlein, Michael, 2010. "Users of the world, unite! The challenges and opportunities of Social Media," Business Horizons, Elsevier, vol. 53(1), pages 59-68, January.
    2. Sihombing, Sabrina Oktaria, 2017. "Predicting intention to share news through social media: An empirical analysis in Indonesian youth context," Business and Economic Horizons (BEH), Prague Development Center (PRADEC), vol. 13(4), October.
    3. Norazah Mohd Suki, 2011. "Subscribers’ intention towards using 3G mobile services," Journal of Economics and Behavioral Studies, AMH International, vol. 2(2), pages 67-75.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fan, Rui & Xu, Ke & Zhao, Jichang, 2018. "An agent-based model for emotion contagion and competition in online social media," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 495(C), pages 245-259.
    2. Nour El Houda Ben Amor & Mohamed Nabil Mzoughi, 2023. "Do Millennials’ Motives for Using Snapchat Influence the Effectiveness of Snap Ads?," SAGE Open, , vol. 13(3), pages 21582440231, July.
    3. Schmidt, Christoph G. & Wuttke, David A. & Heese, H. Sebastian & Wagner, Stephan M., 2023. "Antecedents of public reactions to supply chain glitches," International Journal of Production Economics, Elsevier, vol. 259(C).
    4. Mahan, Joseph E. & Seo, Won Jae & Jordan, Jeremy S. & Funk, Daniel, 2015. "Exploring the impact of social networking sites on running involvement, running behavior, and social life satisfaction," Sport Management Review, Elsevier, vol. 18(2), pages 182-192.
    5. Molina, Arturo & Fernández, Alejandra C. & Gómez, Mar & Aranda, Evangelina, 2017. "Differences in the city branding of European capitals based on online vs. offline sources of information," Tourism Management, Elsevier, vol. 58(C), pages 28-39.
    6. Carmela Milano, 2015. "Democratization or else vulgarization of cultural capital? The role of social networks in theater’s audience behavior," Working Papers CEB 15-004, ULB -- Universite Libre de Bruxelles.
    7. Yucheng Zhang & Zhiling Wang & Lin Xiao & Lijun Wang & Pei Huang, 2023. "Discovering the evolution of online reviews: A bibliometric review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-22, December.
    8. Hassan Danaeefard & Ali Farazmand & Akram Dastyari, 2023. "The Iranian Coronavirus Pandemic (COVID-9) Crisismanship: Understanding the Contributions of National Culture, Media, Technology and Economic System," Public Organization Review, Springer, vol. 23(4), pages 1661-1682, December.
    9. Richey, Michelle & Ravishankar, M.N., 2019. "The role of frames and cultural toolkits in establishing new connections for social media innovation," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 325-333.
    10. Jamal El-Den & Pratap Adikhari & Pratap Adikhari, 2017. "Social media in the service of social entrepreneurship: Identifying factors for better services," Journal of Advances in Humanities and Social Sciences, Dr. Yi-Hsing Hsieh, vol. 3(2), pages 105-114.
    11. Smith, Andrew N. & Fischer, Eileen & Yongjian, Chen, 2012. "How Does Brand-related User-generated Content Differ across YouTube, Facebook, and Twitter?," Journal of Interactive Marketing, Elsevier, vol. 26(2), pages 102-113.
    12. Bo Yang & Chao Liu & Xusen Cheng & Xi Ma, 2022. "Understanding Users' Group Behavioral Decisions About Sharing Articles in Social Media: An Elaboration Likelihood Model Perspective," Group Decision and Negotiation, Springer, vol. 31(4), pages 819-842, August.
    13. Gal-Tzur, Ayelet & Grant-Muller, Susan M. & Kuflik, Tsvi & Minkov, Einat & Nocera, Silvio & Shoor, Itay, 2014. "The potential of social media in delivering transport policy goals," Transport Policy, Elsevier, vol. 32(C), pages 115-123.
    14. Fathey Mohammed & Nabil Hasan Al-Kumaim & Ahmed Ibrahim Alzahrani & Yousef Fazea, 2023. "The Impact of Social Media Shared Health Content on Protective Behavior against COVID-19," IJERPH, MDPI, vol. 20(3), pages 1-16, January.
    15. Fazal Ur Rehman & Rosman Bin Md Yusoff & Fadillah Binti Ismail & Farwida Javed, 2019. "What is Brand? Some Insights in the Historical Development," Information Management and Business Review, AMH International, vol. 10(4), pages 8-13.
    16. Drummond, Conor & O'Toole, Thomas & McGrath, Helen, 2022. "Social Media resourcing of an entrepreneurial firm network: Collaborative mobilisation processes," Journal of Business Research, Elsevier, vol. 145(C), pages 171-187.
    17. Bojana Suzić & Miroslav Karlíček & Václav Stříteský, 2016. "Adoption of Social Media for Public Relations by Museums," Central European Business Review, Prague University of Economics and Business, vol. 2016(2), pages 5-16.
    18. Monica Patrut, 2015. "Candidates In The Presidential Elections In Romania (2014): The Use Of Social Media In Political Marketing," Studies and Scientific Researches. Economics Edition, "Vasile Alecsandri" University of Bacau, Faculty of Economic Sciences, issue 21.
    19. Marcel Rosenberger & Christiane Lehrer & Reinhard Jung, 0. "Integrating data from user activities of social networks into public administrations," Information Systems Frontiers, Springer, vol. 0, pages 1-14.
    20. Davide Giacomini & Paola Zola & Diego Paredi & Mario Mazzoleni, 2020. "Environmental disclosure and stakeholder engagement via social media: State of the art and potential in public utilities," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 27(4), pages 1552-1564, July.

    More about this item

    Keywords

    intention; attitude; image; social media;
    All these keywords.

    JEL classification:

    • M30 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - General
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eco:journ3:2019-05-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ilhan Ozturk (email available below). General contact details of provider: http://www.econjournals.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.