ISSN: 2222-6990
Open access
Internet and technology advances enable all business organizations to engage in the e-commerce market. The use of multichannel strategies is costly. Affiliate marketing has emerged as one of the wildest growing online marketing and e-commerce strategies to increase sales. Perfections in online activities via affiliate marketing have a significant effect on the organization’s product visibility, advertising cost, and return on investment (ROI). These are critical components that an organization need to secure in order to gain the ability to create brand positions in the e-commerce market. Understanding the factors that contribute to the engagement of affiliate marketing in an organization is crucial because it helps to identify success factors that influence the intention to use affiliate marketing. From this understanding, refreshing changes or alternatives to current online marketing practices, organization strategies, and advertising techniques can be easily transformed to reduce the advertising costs. This study only focused on three dominant factors which influence the behavioral intention to use specific technology (i.e. affiliate marketing) which are relative advantage, compatibility, and observability. Relative advantage is defined as the level at which the current practice is perceived to be lower than innovation and is associated with a diversity of facilities, satisfaction, social, and economic diversity. Compatibility refers to the level at which the innovation is perceived consistent with previous ideas, socio-cultural values or perceived innovation is necessary. On the other hand, observability is the stage where other users or other parties, but not the business owner can see the positive results of using the technology. Thus, through the understanding of these factors, the researcher aims to show a better understanding of the affiliate marketing concept and the factors that influence the intention to use affiliate marketing.
Al-Jabri, I. M., & Sohail, M. S. (2012). Mobile Banking Adoption: Application of Diffusion of Innovation Theory. Journal of Electronic Commerce Research, 13(4), 379-391.
Beranek, L. (2018). An empirical investigation of factors that influence commitment and active participation in in-house affiliate marketing network. International Journal of Electronic Business, 14(3), 189-211.
Brear, D., & Barnes, S. (2008). Assessing the value of online affiliate marketing in the UK financial services industry. International Journal of Electronic Finance, 2(1), 1-17.
Cha, J. (2013). Predictors of television and online video platform use: A coexistence model of old and new video platforms. Telematics and Informatics, 30(4), 296–310.
Chauhan, S., Mukhopadhyay, S., & Jaiswal, M. (2018). The adoption of mobile app for B2C transaction in platform marketplace: An empirical examination of key drivers. Journal of Information Technology Case and Application Research, 20(1), 1-14.
Chen, C. (2013). Perceived risk, usage frequency of mobile banking services. Managing Service Quality: An International Journal, 23(5), 410–436.
Duffy, D. L. (2005). Affiliate marketing and its impact on e?commerce. Journal of Consumer Marketing, 22(3), 161–163.
Dwivedi, Y. K., Rana, N. P., & Alryalat, M. A. A. (2017). Affiliate marketing: An overview and analysis of emerging literature. The Marketing Review, 17(1), 33-50.
El-Gohary, H. (2012). Factors affecting E-Marketing adoption and implementation in tourism firms: An empirical investigation of Egyptian small tourism organisations. Tourism Management, 33(5), 1256–1269.
Elmustapha, H., Hoppe, T., & Bressers, H. (2018). Consumer renewable energy technology adoption decision-making; comparing models on perceived attributes and attitudinal constructs in the case of solar water heaters in Lebanon. Journal of Cleaner Production, 172, 347–357.
Samat, M., Yusoff, M., Ismail, M., Annual, N., & Mamat, M. (2017). Technological Factor and Social Media Marketing Adoption Among SMEs in Kelantan: In Proceedings of the 2nd International Conference on Economic Education and Entrepreneurship, Bandung, 2017, Indonesia: SCITEPRESS - Science and Technology Publications.
Fox, P., & Wareham, J. (2010). Governance Mechanisms in Internet-Based Affiliate Marketing Programmes in Spain. International Journal of E-Business Research, 6(1), 1–18.
Jalali, M. S., Kaiser, J. P., Siegel, M., & Madnick, S. (2017). The Internet of Things (IoT) Promises New Benefits and Risks: A Systematic Analysis of Adoption Dynamics of IoT Products. Retrieved June 10, 2018, from SSRN: https://doi.org/10.2139/ssrn.3022111
Janssen, D., & van Heck, E. (2007). How Will Online Affiliate Marketing Networks Impact Search Engine Rankings? Retrieved from SSRN: https://papers.ssrn.com/abstract=1008391
Jansson, J. (2011). Consumer eco-innovation adoption: assessing attitudinal factors and perceived product characteristics. Business Strategy and the Environment, 20(3), 192–210.
Kaminski, J. (2011). Diffusion of Innovation Theory. Retrieved December 1, 2017, from CJNI: http://cjni.net/journal/?p=1444
Kitchen, P. J., & Panopoulos, A. (2010). Online public relations: The adoption process and innovation challenge, a Greek example. Public Relations Review, 36(3), 222–229.
Lammenett, E. (2017). Praxiswissen Online-Marketing: Affiliate- und E-Mail-Marketing, Suchmaschinenmarketing, Online-Werbung, Social Media, Facebook. Retrieved January 15, 2018, from Springer Gabler: http://b-ok.cc/book/2920503/b7062a
Lou, L., Tian, Z., & Koh, J. (2017). Tourist Satisfaction Enhancement Using Mobile QR Code Payment: An Empirical Investigation. Sustainability, 9(7), 1-14.
Mariussen, A., Daniele, R., & Bowie, D. (2010). Unintended consequences in the evolution of affiliate marketing networks: a complexity approach. The Service Industries Journal, 30(10), 1707–1722.
Mazurek, G., & Kucia, M. (2011). Potential of Affiliate Marketing. The 7th International Conference Management of Technolo
In-Text Citation: (Patrick & Hee, 2019)
To Cite this Article: Patrick, Z., & Hee, O. C. (2019). Factors Influencing the Intention to Use Affiliate Marketing: A Conceptual Analysis. International Journal of Academic Research in Business and Social Sciences, 9(2), 701–710.
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