The Reinforcement of Certainty Perception on Social Media Advertisement: Dual-Process Theory Perspective

Nurul Azizah

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Social media offers a powerful way to promote and engage the consumer. However, there are too many information circulating on social media nowadays. This situation makes the consumers feel uncertain with the validity of information they find on social media. There are more than two million Facebook users globally, meaning that the platform still has big potential as an effective promotion tool. In this study, Social word of mouth (sWOM) theory is seen as a solution to reduce the uncertainty on the social media. Then, the dual-process theory is adapted to build the conceptual framework, which includes several variables including comment involvement, quality of comment, comment trust-ability, as well as uncertainty reduction. Item scales are adopted by the prior study and the questionnaire is composed with a back-translation technique. The collected data is tested using smart-PLS. Then the results are analyzed to observe both theoretical and managerial impact. The findings of the study suggest that all of the proposed variables have significant effect on the uncertainty reduction.


Social Word of Mouth (sWOM), Dual-Proses Theory, Uncertainty Reduction

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Allen N J and Meyer J P. (1993). The Measurement and Antecedents of Affective, Continuance and Normative Commitment to the Organization. Journal of Occupational Psychology, 63(1), 1–18.

Bastos, W., & Levy, S. J. (2012). A history of the concept of branding: practice and theory. Journal of Historical Research in Marketing, 4(3), 347–368.

Burgoon, J. K., Chen, F., & Twitchell, D. P. (2010). Deception and its detection under synchronous and asynchronous computer-mediated communication. Group Decision and Negotiation, 19(4), 345–366.

Cheong, C. A., & Chen, S. T. (n.d.). Newsletter.

Cheung, M. Y., Luo, C., Sia, C. L., & Chen, H. (2009). Credibility of Electronic Word-of-Mouth: Informational and Normative Determinants of On-line Consumer Recommendations. International Journal of Electronic Commerce, 13(4), 9–38.

Du Preez, R., & Bendixen, M. T. (2015). The impact of internal brand management on employee job satisfaction, brand commitment and intention to stay. International Journal of Bank Marketing, 33(1), 78–91.

Gendel-Guterman, H., & Levy, S. (2013). Does consumers’ personal involvement have an influence on store brand buying proneness? Journal of Consumer Marketing, 30(7), 553–562.

Glen WC. (1979). Attributional confidence and uncertainty in initial interaction. Communication Research, 5(2), 147–157.

Hennig-Thurau, T., Hofacker, C. F., & Bloching, B. (2013). Marketing the pinball way: Understanding how social media change the generation of value for consumers and companies. Journal of Interactive Marketing, 27(4), 237–241.

Husain, S., & Ghufran, A. (2016). Relevance of Social Media in Marketing and Advertising, (7), 21–29.

Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of Social Media. Business Horizons, 53(1), 59–68.

Katrin, W. (2015). Accepting the challenges of social media research. Online Information Review, 39(4), 261–278.

Kempf DAS, P. K. (2005). The effects of gender and argument strength on the processing of word-of-mouth communication. Academy of Marketing Studies Journal, 10(1), 1–18.

Lynne, J. (1994). The personal involvement inventory : Reduction , revision , and.

Mangold, W. G., & Faulds, D. J. (2009). Social media : The new hybrid element of the promotion mix, 357–359.

Milewicz, C., & Saxby, C. (2013). Leaders ’ social media usage intentions for in-bound customer communications, 36(9), 849–867.

Miquel, S., Caplliure, E.M. and Aldas-Manzano, J. (2002). The effect of personal involvement on the decision to buy store brands. Journal of Product & Brand Management, 11(1), 6–18.

Punjaisri, K. and Wilson, A. (2007). The role of internal branding in the delivery of employee brand promise. Journal of Brand Management, 15(1), 55–70.

Racherla, P., Mandviwalla, M., & Connolly, D. J. (2012). Factors affecting consumers ’ trust in online product reviews, 104, 94–104.

Rains, S. A. (2007). A Test of Two Competing Hypotheses.

Ramirez, A. (2007). The Effect of Anticipated Future Interaction and Initial Impression Valence on Relational Communication in Computer-Mediated Interaction. Communication Studies, 58(1), 53–70.

Ray, A. (2014). What If Everything You Know About Social Media Marketing Is Wrong? Retrieved from

Sarstedt, M., Ringle, C. M., & Hair, J. F. (2017). Partial Least Squares Structural Equation Modeling. Handbook of Market Research.

Shepherd, J. (2016). Forest Products Industry in a Digital Age : A Look at E-Commerce and Social Media, 66(14), 49–57.

statista. (2017). Most famous social network sites worldwide as of September 2017, ranked by number of active users (in millions). statista. world wide. Retrieved from

Tidwell, L. C., & Walther, J. B. (2002). Computer-mediated communication effects on disclosure, impressions, and interpersonal evaluations: Getting to know one another a bit at a time. Human Communication Research, 19(1), 52–89.

Xu, X., & Yao, Z. (2015). Understanding the role of argument quality in the adoption of online reviews. Online Information Review, 39(7), 885–902.


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