ESC
Clarivate

 
Source: Journal Citation ReportsTM from ClarivateTM 2022

Entrepreneurship and Sustainability Issues Open access
Journal Impact FactorTM (2022) 1.7
Journal Citation IndicatorTM (2022) 0.42
Received: 2018-11-16  |  Accepted: 2019-02-27  |  Published: 2019-03-30

Title

The perceived value of social media marketing: an empirical study of online word-of-mouth in Saudi Arabian context


Abstract

Despite the dramatic increase in the use social media marketing and huge business investments allocated to online marketing, little is known about consumers’ perceived value of social media marketing. The perceived value concept is key factor in traditional consumer behavior.However investigations into online channels have not been done intensively. The present work has succeeded in demonstrating the role of perceived value on online consumer behavior and its influences on online word of mouth (OWOM) and behavioral loyalty. Based on a sample of 525 respondents who were social media users, the study used Partial Least Squares (PLS) technique to analyze the data. The study has succeeded in filling various gaps of knowledge and literature. The gaps addressed by the present work includes aspects pertaining to perceived value of social media marketing, online word of mouth, behavioral loyalty on online channels, etc.


Keywords

consumer behavior, social media marketing, online word of mouth, perceived value, customer loyalty


JEL classifications

M31


URI

http://jssidoi.org/jesi/article/301


DOI


Pages

1512-1527


Funding

This project was supported by the Deanship of Scientific Research at Prince Sattam Bin Abdulaziz University under the research project # 2016/01/5721

This is an open access issue and all published articles are licensed under a
Creative Commons Attribution 4.0 International License

Authors

Ajina, Ahmed S.
Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia https://psau.edu.sa
Articles by this author in: CrossRef |  Google Scholar

Journal title

Entrepreneurship and Sustainability Issues

Volume

6


Number

3


Issue date

March 2019


Issue DOI


ISSN

ISSN 2345-0282 (online)


Publisher

VšĮ Entrepreneurship and Sustainability Center, Vilnius, Lithuania

Cited

Google Scholar

Article views & downloads

HTML views: 8822  |  PDF downloads: 3104

References


Andreassen, T. W. and Streukens, S. (2009). Service Innovation and Electronic Word-of-Mouth: Is it Worth Listening To? Managing Service Quality, 19(3), 249–65.

Search via ReFindit


Bhatnagar, A. and Ghose, S. (2004). Online Information Search Termination PatternsAcross Product Categories and Consumer Demographics. Journal of Retailing, 80 (3), 221–8. https://doi.org/10.1016/j.jretai.2003.10.001

Search via ReFindit


Blazevic, V., Hammedi, W., Garnefeld, I., Rust, R. T., Keiningham, T., Andreassen, T. W., Donthu, N. and Carl, W. (2013). Beyond Traditional Word-of-Mouth: An Expanded Model of CustomerInfluence. Journal of Service Management, 24(3), 294–313.

Search via ReFindit


Chen, Y., Xie, J. (2004).Online Consumer Review: A New Element of Marketing Communications Mix. Working Paper, Department of Marketing, University of Florida.

Search via ReFindit


Dellarocas, C. N. (2003). The Digitization of Word-of-Mouth: Promise and Challenges of Online Feedback Mechanisms. Management Science, 49(10), 1407–24. http://ccs.mit.edu/dell/digitization%20of%20word-of-mouth.pdf

Search via ReFindit


Dhar, V. and Chang, E. A. (2009). Does Chatter Matter? The Impactof User-Generated Content on Music Sales. Journal of Interactive Marketing, 23(4), 300–7.

Search via ReFindit


Duana, W., Gu, B. and Whinston, A. B. (2008). The dynamics of online word-of-mouth and product sales—An empirical investigation of the movie industry. Journal of Retailing, 84(2), pp.233–242. Available at: https://doi.org/10.1016/j.jretai.2008.04.005

Search via ReFindit


Ellison, G., Fudenberg, D. (1995). Word-of-Mouth Communication and Social Learning. Quarterly Journal of Economics, 110(1), 93–125.

Search via ReFindit


Fishburn, PC, 1970. Utility theory for decision making, Wiley, New York.ed.

Search via ReFindit


Fletcher, H.D, Smith, Fornell, C., and Larcker, D.F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. https://doi.org/10.2307/3151312

Search via ReFindit


Godes, D and Mayzlin, D. (2004). Using Online Conversations to StudyWord of Mouth Communication. Marketing Science, 23(4), 545–60. https://doi.org/10.1287/mksc.1040.0071

Search via ReFindit


Godes, D.and Silva, J. C. (2012). Sequential and Temporal Dynamics of OnlineOpinion. Marketing Science, 31(3), 448–73.

Search via ReFindit


Hair, J. F., Hult, G. T. M., Ringle, C., &Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM): Sage Publications.

Search via ReFindit


Henseler, J., Ringle, C. M., and Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8

Search via ReFindit


Henseler, J., Ringle, C. M., and Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing New challenges to international marketing (pp. 277-319): Emerald Group Publishing Limited.

Search via ReFindit


King, R. A., Racherla, P.and Bush, V. D. (2014). What We Know and Don't Know About Online Word-of-Mouth: A Review and Synthesis of the Literature. Journal of Interactive Marketing, 28, 167–183. https://doi.org/10.1016/j.intmar.2014.02.001

Search via ReFindit


Kozinets, R. V., De Valck, K., Wojnicki, A. C. and Wilner, S. J. S. (2010). Networked Narratives: Understanding Word-of-Mouth Marketing in Online Communities. Journal of Marketing, 74(2), 71–89. https://doi.org/10.1509/jmkg.74.2.71

Search via ReFindit


Kusumasondjaja, S. (2018). The roles of message appeals and orientation on social media brand communication effectiveness: An evidence from Indonesia. Asia Pacific Journal of Marketing and Logistics, 30(4), 1135-1158. https://doi.org/10.1108/APJML-10-2017-0267

Search via ReFindit


Laroche, M., Yang, S., McDougall, G. H.G. and Bergeron, J. (2005). Internet Versus Bricks-and-Mortar Retailers: An Investigationinto Intangibility and Its Consequences. Journal of Retailing, 81(4), 251–67.

Search via ReFindit


Lowry, P. B. and Gaskin, J. (2014). Partial Least Squares (PLS) Structural Equation Modeling (SEM) for Building and Testing Behavioral Causal Theory: When to Choose It and How to Use It. IEEE Transactions on Professional Communication, 57(2), 123-146.

Search via ReFindit


Maxham, J. G. Jr. and Netemeyer, R. G. (2002). Modeling Customer Perceptions of Complaint Handling Over Time: The Effects of PerceivedJustice on Satisfaction and Intent. Journal of Retailing, 78, 239–52. Available at http://thecustomerconnection.nl/docs/Maxham%20III%20&%20Netemeyer%20-%20Modeling%20customer%20perceptions%20of%20complaint%20handling%20over%20time.pdf

Search via ReFindit


Nunnally, J. C. (1978). Psychometric theory (2nd Ed.), New York: McGraw-Hill Book Company.

Search via ReFindit


Ringle, C. M., Silva, D. D, & Diógenes de Souza, B. (2014). Structural Equation Modeling with the Smart PLS. REMark: Revista Brasileira de Marketing, 13(2), 56-73. https://doi.org/10.5585/remark.v13i2.2717

Search via ReFindit


Senecal, S., Nantel, J. (2004). The Influence of Online ProductRecommendations on Consumers’ Online Choices. Journal of Retailing, 80, 159–6.

Search via ReFindit


Tirunillai, S., Tellis, G. J. (2012). Does Chatter Really Matter? Dynamics of User-Generated Content and Stock Performance. Marketing Science, 31(2), 198–215. https://doi.org/10.1287/mksc.1110.0682

Search via ReFindit


Trusov, M., Bucklin, R. E., Pauwels, K. (2009). Effects of Word-of-Mouth Versus Traditional Marketing: Findingsfrom an Internet Social Networking Site. Journal of Marketing, 73(5), 90–102.

Search via ReFindit