IDEAS home Printed from https://ideas.repec.org/a/ibn/ijmsjn/v8y2016i5p136-145.html
   My bibliography  Save this article

The Trust of Viral Advertising Messages and Its Impact on Attitude and Behaviour Intentions of Consumers

Author

Listed:
  • Mahmood Jasim Alsamydai

Abstract

The purpose of this paper is to contribute to the growing body of research on viral advertising messages which is based on viral marketing, while concentrating on trust of viral advertising messages and its effect on attitude and consumer behavior intention. To achieve the objectives of this study, we used marketing technology and techniques specific to viral marketing. The implementation of the study depended on a questionnaire (with 27 items) used to collect the required data from 305 customers. The information collected was based on a primary exploration study with the purpose of constructing and designing a study model. Six hypotheses were proposed based on literature related to viral marketing, viral advertising messages and behavior intention. The study model was divided into six dimensions. The first four was concerned with trust of viral advertising messages, the fifth with attitude and customer behavior intention, while the sixth focused on the correlation between components of the study model. Many descriptive statistical methods were used, e.g., one sample T-test, Pearson¡¯s Correlation for the statistical analysis. The indicated results accepted all six hypotheses (assumed for each dimension). Consequently, there was an impetus to achieve trust of viral advertising messages on all attitudes and customer behavior intention. Although this study was limited, it tried to use many factors to test trust effect of viral advertising messages on attitudes and consumer behavior intention. It is considered as an attempt that can be developed for future studies.

Suggested Citation

  • Mahmood Jasim Alsamydai, 2016. "The Trust of Viral Advertising Messages and Its Impact on Attitude and Behaviour Intentions of Consumers," International Journal of Marketing Studies, Canadian Center of Science and Education, vol. 8(5), pages 136-145, October.
  • Handle: RePEc:ibn:ijmsjn:v:8:y:2016:i:5:p:136-145
    as

    Download full text from publisher

    File URL: http://www.ccsenet.org/journal/index.php/ijms/article/view/63157/33930
    Download Restriction: no

    File URL: http://www.ccsenet.org/journal/index.php/ijms/article/view/63157
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. De Bruyn, Arnaud & Lilien, Gary L., 2008. "A multi-stage model of word-of-mouth influence through viral marketing," International Journal of Research in Marketing, Elsevier, vol. 25(3), pages 151-163.
    2. Mauro Bampo & Michael T. Ewing & Dineli R. Mather & David Stewart & Mark Wallace, 2008. "The Effects of the Social Structure of Digital Networks on Viral Marketing Performance," Information Systems Research, INFORMS, vol. 19(3), pages 273-290, September.
    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. Sarah Gelper & Ralf van der Lans & Gerrit van Bruggen, 2021. "Competition for Attention in Online Social Networks: Implications for Seeding Strategies," Management Science, INFORMS, vol. 67(2), pages 1026-1047, February.
    2. Pescher, Christian & Reichhart, Philipp & Spann, Martin, 2014. "Consumer Decision-making Processes in Mobile Viral Marketing Campaigns," Journal of Interactive Marketing, Elsevier, vol. 28(1), pages 43-54.
    3. Jie-Hao Shao & E. Zhang & Yi Xiang & Ran-Zhe Jing, 2024. "Efficient combinations of dual incentives on social networks to achieve viral spread," Electronic Commerce Research, Springer, vol. 24(4), pages 2381-2404, December.
    4. Thi Cam Tu Dinh & Yoonjae Lee, 2024. "COBRAs and virality: viral campaign values on consumer behaviour," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.
    5. Jarosław Jankowski & Magdalena Zioło & Artur Karczmarczyk & Jarosław Wątróbski, 2017. "Towards Sustainability in Viral Marketing with User Engaging Supporting Campaigns," Sustainability, MDPI, vol. 10(1), pages 1-12, December.
    6. Kick, Markus, 2015. "Social Media Research: A Narrative Review," EconStor Preprints 182506, ZBW - Leibniz Information Centre for Economics.
    7. Gavin L. Fox & Stephen J. Lind, 2020. "A framework for viral marketing replication and mutation," AMS Review, Springer;Academy of Marketing Science, vol. 10(3), pages 206-222, December.
    8. Irina Heimbach & Oliver Hinz, 2018. "The Impact of Sharing Mechanism Design on Content Sharing in Online Social Networks," Information Systems Research, INFORMS, vol. 29(3), pages 592-611, September.
    9. Yadav, Manjit S. & de Valck, Kristine & Hennig-Thurau, Thorsten & Hoffman, Donna L. & Spann, Martin, 2013. "Social Commerce: A Contingency Framework for Assessing Marketing Potential," Journal of Interactive Marketing, Elsevier, vol. 27(4), pages 311-323.
    10. Peres, Renana & Muller, Eitan & Mahajan, Vijay, 2010. "Innovation diffusion and new product growth models: A critical review and research directions," International Journal of Research in Marketing, Elsevier, vol. 27(2), pages 91-106.
    11. Adarsh Anand & Mohini Agarwal & Gunjan Bansal & A. H. S. Garmabaki, 2016. "Studying product diffusion based on market coverage," Journal of Marketing Analytics, Palgrave Macmillan, vol. 4(4), pages 135-146, December.
    12. Kim, Juran & Kang, Seungmook & Lee, Ki Hoon, 2021. "Evolution of digital marketing communication: Bibliometric analysis and network visualization from key articles," Journal of Business Research, Elsevier, vol. 130(C), pages 552-563.
    13. Claus, Bart & Geyskens, Kelly & Millet, Kobe & Dewitte, Siegfried, 2012. "The referral backfire effect: The identity-threatening nature of referral failure," International Journal of Research in Marketing, Elsevier, vol. 29(4), pages 370-379.
    14. Kim, Jikyung (Jeanne) & Kim, Sanghwa & Choi, Jeonghye, 2020. "Purchase now and consume later: Do online and offline environments drive online social interactions and sales?," Journal of Business Research, Elsevier, vol. 120(C), pages 274-285.
    15. Amini, Mehdi & Wakolbinger, Tina & Racer, Michael & Nejad, Mohammad G., 2012. "Alternative supply chain production–sales policies for new product diffusion: An agent-based modeling and simulation approach," European Journal of Operational Research, Elsevier, vol. 216(2), pages 301-311.
    16. Agha Mohammad Ali Kermani, Mehrdad & Fatemi Ardestani, Seyed Farshad & Aliahmadi, Alireza & Barzinpour, Farnaz, 2017. "A novel game theoretic approach for modeling competitive information diffusion in social networks with heterogeneous nodes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 466(C), pages 570-582.
    17. Colicev, Anatoli & Kumar, Ashish & O'Connor, Peter, 2019. "Modeling the relationship between firm and user generated content and the stages of the marketing funnel," International Journal of Research in Marketing, Elsevier, vol. 36(1), pages 100-116.
    18. Hinz, Oliver & Schulze, Christian & Takac, Carsten, 2014. "New product adoption in social networks: Why direction matters," Journal of Business Research, Elsevier, vol. 67(1), pages 2836-2844.
    19. Lee, Kwang-Ho & Hyun, Sunghyup Sean, 2015. "A model of behavioral intentions to follow online travel advice based on social and emotional loneliness scales in the context of online travel communities: The moderating role of emotional expressivi," Tourism Management, Elsevier, vol. 48(C), pages 426-438.
    20. Haris Krijestorac & Rajiv Garg & Vijay Mahajan, 2020. "Cross-Platform Spillover Effects in Consumption of Viral Content: A Quasi-Experimental Analysis Using Synthetic Controls," Information Systems Research, INFORMS, vol. 31(2), pages 449-472, June.

    More about this item

    Keywords

    trust; virak advertising messages; attitude; bahavoir; inentious; consumers;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:ibn:ijmsjn:v:8:y:2016:i:5:p:136-145. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    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.