The revolution of the internet technology has increased the demand for online marketing strategies. Over the years, online marketing has received considerable attention owing to its advantages to both individuals and organizations. This study sought to analyze the global online marketing research trends from 1975 to 2019 through a bibliometric analysis procedure. A total of 789 published articles were retrieved from the Scopus database for the analysis. The results suggest that between 2001-2010, Google AdWords, affiliate marketing, e-mail marketing, search engine advertising (SEA), search engine marketing (SEM), search engine optimization (SEO), social media marketing, and convergent mobile technologies is the most preferred online marketing platform in the hospitality, tourism, hotel, multi-national corporations (MNCs), construction, and software industry. Between 2011-2019, online marketing study focused more on social media marketing platforms such as Facebook, Instagram, Twitter, blogs, and dual-channel (i.e., YouTube). Also, the online marketing trend switched its focus from multi-national corporations (MNCs), construction, and software industry in 2001-2010 to small and medium enterprises (SMEs), business-to-business marketing, and agribusiness in 2011-2019. The findings of this study provide useful information to academic researchers and industry practitioners to aid their understanding of online marketing research development and online marketing roles in strategizing marketing plans. This paper innovates by identifying new areas for investigation and potential research opportunities in the field of online marketing. It is one of the pioneer studies which provides a greater understanding of online marketing research by investigating its evolution through bibliometric analysis.
Adetunji, R. R., Rashid, S. M., & Ishak, M. S. (2018). Social Media Marketing Communication and Consumer-Based Brand Equity: An Account of Automotive Brands in Malaysia. Jurnal Komunikasi: Malaysian Journal of Communication, 34(1), 1–19.
Al-Debei, M. M., Akroush, M. N., & Ashouri, M. I. (2015). Consumer attitudes towards online shopping: The effects of trust, perceived benefits, and perceived web quality. Internet Research, 25(5), 707–733.
Andreki, P. H. A., & Yazdanifard, R. (2014). Is E-Marketing the Future of Marketing Field. American Journal of Industrial and Business Management, 4(7), 333–336.
Bailey, R. M., & Tierney, T. M. (1975). Costs, Service Differences, and Prices in Private Clinical Laboratories. The Milbank Memorial Fund Quarterly. Health and Society, 52(3), 265.
Bilgihan, A. (2016). Gen Y customer loyalty in online shopping: An integrated model of trust, user experience and branding. Computers in Human Behavior, 61, 103–113.
Cao, Y., Ajjan, H., & Hong, P. (2018). Post-purchase shipping and customer service experiences in online shopping and their impact on customer satisfaction: An empirical study with comparison. Asia Pacific Journal of Marketing and Logistics, 30(2), 400–416.
Chien, S.-Y., & Lee, L. S. (2018). Age-targeted online marketing using inferred age range information (United States Patent). https://patents.google.com/patent/US9996844B2/en
Duffy, D. L. (2005). Affiliate marketing and its impact on e?commerce. Journal of Consumer Marketing, 22(3), 161–163.
Durmaz, Y., & Efendioglu, I. H. (2016). Travel from Traditional Marketing to Digital Marketing. Global Journal of Management and Business Research, 16(2), 34–40.
English-Zemke, P. (1988). Using color in online marketing tools. IEEE Transactions on Professional Communication, 31(2), 70–74.
Fox, P., & Wareham, J. (2010). Governence Mechanisms in Internet-Based Affiliate Marketing Programmes in Spain. International Journal of EBusiness Research, 6, 1–18.
Giomelakis, D., & Veglis, A. (2016). Investigating Search Engine Optimization Factors in Media Websites: The case of Greece. Digital Journalism, 4(3), 379–400.
Glänzel, W., Schubert, A., & Czerwon, H.-J. (1999). A bibliometric analysis of international scientific cooperation of the European Union (1985–1995). Scientometrics, 45(2), 185–202.
He, W., Chee, T., Chong, D., & Rasnick, E. (2012). Using Bibliometrics and Text Mining to Explore the Trends of E-Marketing Literature from 2001 to 2010: International Journal of Online Marketing, 2(1), 16–24.
Hoogendoorn, G. (2008). Scopus: The Continuing Development of an Abstract and Citation Database. The Serials Librarian, 55(1–2), 227–234.
Janda, S. (2008). Does Gender Moderate the Effect of Online Concerns on Purchase Likelihood? Journal of Internet Commerce, 7(3), 339–358.
Jiang, P., & Rosenbloom, B. (2005). Customer intention to return online: Price perception, attribute?level performance, and satisfaction unfolding over time. European Journal of Marketing, 39(1/2), 150–174.
Karjaluoto, H., & Taiminen, H. M. (2015). The usage of digital marketing channels in SMEs. Journal of Small Business and Enterprise Development, 22(4), 633–651.
Kathiravan, C., Mahalakshmi, P., & Palanisamy, V. (2019). Online Impulse Buying Behavior of Consumer Triggered by Digital Marketing. International Journal of Recent Technology and Engineering, 8(2S6), 648–653.
Kiang, M. Y., Raghu, T. S., & Shang, K. H.-M. (2000). Marketing on the Internet—Who can benefit from an online marketing approach? Decision Support Systems, 27(4), 383–393.
Kim, J., & McMillan, S. J. (2008). Evaluation of Internet Advertising Research: A Bibliometric Analysis of Citations from Key Sources. Journal of Advertising, 37(1), 99–112.
Öchsner, A. (2013). Abstract and Index Databases (Web of Knowledge, Scopus, Google Scholar). In A. Öchsner (Ed.), Introduction to Scientific Publishing: Backgrounds, Concepts, Strategies (pp. 31–46). Springer.
Polyakov, M., Polyakov, S., & Iftekhar, M. S. (2017).
In-Text Citation: (Patrick & Hee, 2020)
To Cite this Article: Patrick, Z., & Hee, O. C. (2020). A Bibliometric Analysis of Global Online Marketing Research Trends. International Journal of Academic Research in Business and Social Sciences, 10(5), 770–787.
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