Viral Marketing on Consumer Reviews of Selected Carbonated Soft Drinks Companies in Nigeria
1Agu, E. C.,2Ajike, E. O.,3Adefulu, A.D
1,2,3Department of Business Administration and Marketing, Babcock University, Ilishan-Remo, Ogun State, Nigeria
https://doi.org/10.47191/jefms/v6-i6-28ABSTRACT:
The Carbonated Soft Drinks (CSD) market has continued to grow in leaps and bounds amidst fierce competition for
supremacy in the market place. They hold tenaciously to the leadership position in the soda market, having successfully shrugged
off challenge from competitors with a combination of product quality, relentless consumer engagement and aggressive
advertising. However, studies have established that CSD are faced with persistent purchase decrease over incidents related to
negative consumer reviews. Studies indicated that CSD companies tend to prioritize traditional advertising over viral marketing
despite the potential benefits of the latter. Therefore, this study investigated the effect of viral marketing on consumer reviews of
selected CSD companies in Nigeria.
Survey research design was adopted for this study. The population was 3,987 employees in sales and marketing departments of
the selected CSD companies in Nigeria. The sample size of 518 was determined using Cochran’s formula. Simple random sampling
technique was adopted in selecting respondents. A structured and validated questionnaire was used to obtain data with
Cronbach’s alpha reliability coefficients for the constructs ranged between 0.76 and 0.98. The response rate was 82.8%. Data were
analyzed using Partial least square Structural equation modelling.
The results, however, revealed that electronic word of mouth (β = 0.156, t = 2.168, p < 0.05), Influencer (β = 0.149, t = 2.793, p <
0.05), Reliability (β = 0.164, t = 2.065, p < 0.05) and social media (β = 0.336, t = 4.749, p < 0.05), have a positive and significant
effect on the Consumer Review of some selected carbonated soft drink in Nigeria.
Based on the findings, this study concluded that viral marketing affected consumer reviews of selected CSD companies in Nigeria.
Therefore, this study recommended that management of CSD companies should focus on informativeness, electronic word of
mouth, influencer, reliability and social media to enhance consumer reviews.
KEYWORDS:
Consumer reviews, Electronic word of mouth, Influencer, In formativeness, Reliability, Social media, Viral marketing.
REFERENCES:
1) Aaker, D., & Joachimsthaler, E. (2000). The brand relationship spectrum: the key to the brand architecture challenge.
California Management Review, 42, 8-23. https://doi.org/10.1177/000812560004200401.
2) Ahmad, R., Hassan, N. A., Mohd Tajuddin, J., & Wimpi, Y. T. (2018). A study on social media usage among private university
students in Klang Valley. Jurnal Sultan Alauddin Sulaiman Shah, 5, 257-268.
3) Ahlberg, J. (2018). Successful methods of viral marketing. Jönköping International Business School, Marketing and
Logistics, 1, 59-67.
4) Al Muala M. (2018). The influence of frictionless viral marketing and brand recall. International Business Research, 11
(12), 13-21.
5) Alhidari, A., Iyer, P., & Paswan, A. (2015). Personal level antecedents of eWOM and purchase intention, on social
networking sites. Journal of Customer Behaviour, 14(2), 107-125.
6) Alsulaiman, K., Forbes, S.L., Dean, D. L., & Cohen, D.A. (2015). Relationships between perceived product values and three
word of mouth variables. Journal of Customer Behaviour, 14, 277-294.
https://doi.org/10.1362/147539215X14503490289260
7) Atorkey, P., Akwei, M., & Asare-Doku, W. (2021). Consumption of carbonated soft drinks among Ghanaian adolescents:
associations with socio-demographic factors, health risk factors and psychological distress. Nutrition and Health, 27, 329
- 336. https://doi.org/10.1177/0260106021996933
8) Baumöl, U., Hollebeek, L., & Jung, R. (2016). Dynamics of customer interaction on social media platforms. Electronic
Markets, 3, 16-21. https://doi.org/10.1007/s12525-016-0227-0
9) Bazadona, D. (2000) Getting viral. From http://www.clickz.com/clickz/column/1705927/getting-viral. Accessed May
2022.
10) Beverage Industry (2020). 2020 State of the Beverage Industry: Carbonated soft drinks sees value sales up. Accessed from
https://www.bevindustry.com/articles/93231-state-of-the-beverage-industry-carbonated-soft-drinks-sees-value-sales-
up
11) Bhushan, R. (2017). Coca-Cola, PepsiCo hit hard by slow growth in soft drinks segment. From
https://economictimes.indiatimes.com/industry/cons-products/food/coca-cola-pepsico-hit-hard-by-slow-growth-in-
soft-drinks-segment/articleshow/60200104.cms. Accessed December 2021.
12) Bragg, M. A., Hardoby, T., Pandit, N. G., Raji, Y. R., & Ogedegbe, G. (2017). A content analysis of outdoor non-alcoholic
beverage advertisements in Ghana. BMJ Open, 7(5), 12-31. https://doi.org/10.1136/bmjopen-2016-012313
13) Chatzigeorgiou, C. (2017). Modelling the impact of social media influencers on behavioural intentions of millennials: The
case of tourism in rural areas in Greece. Psychology & Marketing, 53, 48-59. 9. https://doi.org/10.5281/zenodo.1209125
14) Chua, A. Y., & Banerjee, S. (2015). Understanding review helpfulness as a function of reviewer reputation, review rating,
and review depth. Journal of the Association for Information Science & Technology, 66(2), 354-362.
https://doi.org/10.1002/asi.23180
15) Chung, S., & Cho, H. (2017). Fostering parasocial relationships with celebrities on social media: implications for celebrity
endorsement. Psychology & Marketing, 34, 481-495. https://doi.org/10.1002/mar.21001
16) Cochran, W. G. (1997). Sampling techniques. Hoboken, NJ: John Wiley & Sons, Inc.
17) Cooper, D. R., & Schindler, P. S. (2003). Business research methods (8th Edition). Boston: McGraw-Hill Irwin.
18) Creswell, J. W. (2013). Research design: Qualitative, quantitative, and mixed methods approaches (4th Edition). London:
SAGE Publications.
19) Cudmore, J. (2010). Increase Conversions with an old sales model. From http://www.seo.com/blog/increase-conversions-
sales-model. Accessed March, 2022.
20) Cui, G., Lui, H. K., & Guo, X. (2012). The effect of online consumer reviews on new product sales. International Journal of
Electronic Commerce, 17(1), 39–58. https://doi.org/10.2753/JEC1086-4415170102
21) Darel, A. (2017). The impact of viral marketing through instagram. Conference: Bangkok Conference Paper.
22) Deepa, N., & Thenmozhi, S. (2015). Viral marketing as an on-line marketing medium. Journal of Business and
Management, 2(1), 88-94.
23) Djafarova, E., & Rushworth, C. (2017). Exploring the credibility of online celebrities' Instagram profiles in influencing the
purchase decisions of young female users. Computers in Human Behaviour, 68, 1-17.
https://doi.org/10.1016/j.chb.2016.11.009
24) Ekwujuru, P. (2018). Soda brands expand CSD war for market share. Access from
https://www.vanguardngr.com/2018/04/soda-brands-expand-csd-war-market-share/.
25) Elefant, C. (2011). The power of social media: legal issues & best practices for utilities engaging social media. The Energy
Law Journal, 32, 1-9.
26) Euromonitor, (2021). Global consumer trends. From https://go.euromonitor.com/white-paper-EC-2021-Top-10-Global-
Consumer-Trends.html. Accessed January 2022.
27) Eurostat (2020). European statistics. From https://ec.europa.eu/info/departments/eurostat-european-statistics_en.
Accessed January 2022.
28) Fan, W., & Gordon, M. (2014). The power of social media analytics. Communications of the ACM, 57, 74-81.
https://doi.org/10.1145/2602574
29) Francis, T., & Hoefel, F. (2018). ‘True Gen’: Generation Z and its implications for companies. McKinsey & Company. Access
from https://www.mckinsey.com/industries/consumer-packaged-goods/ourinsights/true-gen-generation-z-and-its-
implications-for-companies.
30) Gaillot, A. (2021). YouTubers are obsessed with reviewing Yelp’s worst businesses. Access from
https://www.buzzfeednews.com/article/annderrickgaillot/youtube-worst-reviewed-tags-yelp
31) Goodie-Okio, J. A. (2022). Active viral marketing and brand performance of soft drink companies in Port Harcourt.
International Academic Journal of Business Systems & Economics, 8(1),28-40.
32) Granata, G., & Scoozzeze, G. (2017). The influence of active viral marketing in brand recall. International Business
Research, 10 (12), 12-19.
33) Hamat, A., Embi, M.A., & Hassan, H. (2012). The use of social networking sites among Malaysian University
Students. International Education Studies, 5, 56-66. https://doi.org/10.5539/ies. v5n3p56
34) Hajli, M. N. (2014) A study of the impact of social media on consumers. International Journal of Market Research, 56,
387-404. https://doi.org/10.2501/IJMR-2014-02
35) Hair, J., Ringle, C., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice,
19, 139-151.
36) Hair, J. F., Ringle, C. M., & Sarstedt, M. (2013). Partial least squares structural equation modeling: Rigorous applications,
better results and higher acceptance. Long Range Planning, 46, 1-12.
37) Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation
modelling (PLS-SEM) (2nd ed.). United States of America: SAGE Publication.
38) Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European
Business Review, 31, 2-24.
39) Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2021). Data, measurement, and causal inferences in machine learning:
Opportunities and challenges for marketing. Journal of Marketing Theory & Practice, 29(1), 65–77.
40) Hsiang-His, L., & Yu-Ning, W, (2019). Interrelationships between viral marketing and purchase intention via customer-
based brand equity. Journal of Business and Management Sciences, 7(2), 72-83. https://doi.org/10.12691/jbms-7-2-3
41) Huang, M. (2015). The influence of relationship marketing investments on customer gratitude in retailing. Journal of
Business Research, 68, 1318-1323. https://doi.org/10.1016/j.jbusres.2014.12.001
42) Hu, L., & Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity to underparameterized model
misspecification. Psychological Methods, 3(4), 424.
43) Kietzmann, J. H., Hermkens, K., McCarthy, I. P., & Silvestre, B. S. (2011). Social media? Get serious! Understanding the
functional building blocks of social media. Business Horizon 54, 241–251. https://doi.org/10.1016/j.bushor.2011.01.005
44) Kotler, P., & Keller, K. L. (2018). Marketing Management. New York: Pearson Prentice Hall.
45) Kudeshia, C., & Kumar, A. (2017). Social eWOM: does it affect the brand attitude and purchase intention of brands?
Management Research Review, 40(3), 310-330. https://doi.org/10.1108/MRR-07-2015-0161
46) Lin, C. A., & Xu, X. (2017). Effectiveness of online consumer reviews. Internet Research, 27(2), 362–380.
https://doi.org/10.1108/IntR-01-2016-0017
47) Lohmöller, J.-B. (1989). Predictive vs. structural modeling: Pls vs. ml. In Latent variable path modeling with partial least
squares (pp. 199–226). Springer.
48) Market Research (2021). Market research trends. From https://www.qualtrics.com/ebooks-guides/market-research-
trends/. Accessed January 2022.
49) Mahlangu, V. P. (2017). Professional development of adult learners through open and distance learning. Global Voices in
Higher Education, IntechOpen. https://doi.org/10.5772/intechopen.68818
50) Mishra, A., & S M, S. (2016). eWOM: Extant research review and future research avenues. Vikalpa: The Journal for
Decision Makers, 41(03), 222-233. https://doi.org/10.1177/0256090916650952
51) Mishra, V., & Vashiath, A. (2017). Is advertising medium an important constraint in consumer purchase intention: The
theoretical foundation. Journal of General Management Research, 4(1), 38-45.
52) Nathania, S. (2018). Analysis of the influence of online consumer reviews on the purchasing decisions of the millennial
generation in Bandung: a study on gadget products on Tokopedia. Bandung. From
http://repository.unpar.ac.id/handle/123456789/5894?show=full
53) Ngarmwongnoi, C., Oliveira, J. S., AbedRabbo, M., & Mousavi, S. (2020). The implications of eWOM adoption on the
customer journey. Journal of Consumer Marketing, 37 (7), 749-759. https://doi.org/10.1108/JCM-10-2019-3450
54) Nguyen, C. T. (2021). Trust as an unquestioning attitude. Ergo: An Open Access Journal of Philosophy, 8, 21-53.
55) Njau, S. (2021). Soft drink volumes down for first time in nearly a decade. From
https://www.businessdailyafrica.com/bd/markets/commodities/soft-drink-volumes-time-in-nearly-a-decade-3403954.
Accessed December 2021.
56) Nwabueze, C. D., & Okonkwo, E. (2018). Rethinking the bullet theory in the digital age. International Journal of Media,
Journalism and Mass Communications (IJMJMC), 4(2), 1- 10. http://dx.doi.org/10.20431/2454-9479.0402001
57) Oppong, S. H. (2013). The problem of sampling in qualitative research. Asian journal of management sciences &
education, 2, 202-210.
58) Pongjit, C., & Beise-Zee, R. (2015). The effects of word-of-mouth incentivization on consumer brand attitude. Journal of
Product & Brand Management, 24(07), 720-735. https://doi.org/10.1108/JPBM-11-2014-0752
59) Saumya, S., Singh, J. P., Baabdullah, A. M., Rana, N. P., & Dwivedi, Y. K. (2018). Ranking online consumer reviews.
Electronic Commerce Research and Applications, 29, 78–89. https://doi.org/10.1016/j.elerap.2018.03.008
60) Sutanto, M. A., & Aprianingsih, A. (2016). The effect of online consumer review toward purchase intention: A study in
premium cosmetic in Indonesia. Journal International Conference on Ethics of Business, Economics, and Social Science,
31, 218-230.
61) Solis, B. (2016). The influencer marketing manifesto: Why the future of influencer marketing starts with people and
relationships not popularity. From http://pages.tapinfluence.com/hubfs/Influencer_Marketing_Manifesto.pdf. Accessed
December 2021.
62) UNESDA (2021). Self and co-regulation initiatives. From https://www.eesc.europa.eu/en/policies/policy-
areas/enterprise/database-self-and-co-regulation-initiatives/134.
63) Wang, F., Zhu, L., Li, H., He, W., & Tian, Z. (2020). How online reviews affect purchase intention: a new model based on
the stimulus-organism- -response (S-O-R) framework. Aslib Journal of Information Management, 72(4), 463-488.
https://doi.org/10.1108/ajim-11-2019-0308
64) Wang, W., & Street, W. N. (2018). Modeling and maximizing influence diffusion in social networks for viral
marketing. Applied Network Science, 3, 14-29. https://doi.org/10.1007/s41109-018-0062-7
65) Zhu, F., & Zhang, X. (2010). Impact of online consumer reviews on sales: the moderating role of product and consumer
characteristics. Journal of Marketing, 74, 133-148. https://doi.org/10.1509/jm.74.2.133