Online Marketing and Consumer: A Bibliometric Study
DOI:
https://doi.org/10.12725/ujbm.71.2Keywords:
Online marketing, Consumer, co-ciation analysis, bibliographic coupling, Thematic mapAbstract
The online marketing develops not only in one country but globally. And there is a growth in the research on online marketing as well in the global level. This research aims to provide a global perspective regarding online marketing and consumer research, by identifying annual production, most productive authors, countries, institutions, journals and also Co-cited and bibliographically coupled authors, journals and documents. And to identify the future scope of research in online marketing and consumer. This research analysed 450 documents from the Scopus core collection from 1996 to 2023. The data analysis is conducted using Biblioshiny in R and VOS viewer. Results showed a growing trend in publishing of documents in the field of Analysis. The most productive author is Mackey TK, the most productive journal is Journal of research in interactive marketing. USA is the most productive region and University of California is the most productive Institution. The most important keywords are Online marketing, social media, social media marketing, consumer behaviour, e-commerce and others. The results also presented different networks of authors, documents and journals. Finally analysing the future research areas.
References
Ashworth, L., & Free, C. (2006). Marketing dataveillance and digital privacy: Using theories of justice to understand consumers’ online privacy concerns. Journal of Business Ethics, 67(2), 107–123. https://doi.org/10.1007/s10551-006-9007-7
Bagozzi, R. P., & Youjae Yi. (1988). On the Evaluation of Structural Equation Models. Journal of the Academy of Marketing Science, 16(1), 74–94. https://doi.org/10.1177/009207038801600107
Brown, J., Broderick, A. J., & Lee, N. (2007). Word of mouth communicati- on within online communities: Conceptualizing the online social network. Journal of Interactive Marketing, 21(3), 2–20. https://doi.org/10.1002/dir.20082
Çelik, H. (2011). Influence of social norms, perceived playfulness and online shopping anxiety on customers’ adoption of online retail shop- ping: An empirical study in the Turkish context. International Journal of Retail & Distribution Management, 39(6), 390–413. https://doi.org/ 10.1108/0959055 1111137967
Chevalier, J. A., & Mayzlin, D. (2006). The effect of word of mouth on sales: Online book reviews. Journal of Marketing Research, 43(3), 345–354. https://doi.org/10.1509/jmkr.43.3.345
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319–339. https://doi.org/10.2307/249008
De Bruyn, A., & Lilien, G. L. (2008). A multi-stage model of word-of-mouth influence through viral marketing. International Journal of Research in Marketing, 25(3), 151–163. https://doi. org/10.1016/j.ijres mar.2008.03.004
Demangeot, C., & Broderick, A. J. (2016). Engaging customers during a website visit: a model of website customer engagement. International Journal of Retail and Distribution Management, 44(8), 814–839. https://doi.or g/10.1108/IJRDM-08-2015-0124
Desai, P., & Ganatra, K. (2022). Artificial Intelligence In Strengthening The Operations of Ecommerce Based Business. 2022 International Conference on Interdisciplinary Research in Technology and Management, IRTM 2022 - Proceedings, IIIM. https://doi.org/10.1109 /IRTM54583.2022.9791598
Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133(April), 285–296. https://doi.org/10.1016/j.jbuses.20 21.04.070
Dunakhe, K., & Panse, C. (2022). Impact of digital marketing – a bibliometric review. International Journal of Innovation Science, 14(3–4), 506–518. https://doi.org/10.1108/IJIS-11-2020-0263
Faruk, M., Rahman, M., & Hasan, S. (2021). How digital marketing evolved over time: A bibliometric analysis on scopus database. Heliyon, 7(12), e08603. https://doi.org/10.1016/J.HELIYON.20 21.E08603
Ferreira, J. J., Fernandes, C. I., Schiavone, F., & Mahto, R. V. (2021). Sustainability in family business – A bibliometric study and a research agenda. Technological Forecasting and Social Change, 173. https://doi.org/10.1016/j.techfore.2021.121077
Figueiredo, F., Gonçalves, M. J. A., & Teixeira, S. (2021). Information technology adoption on digital marketing: A literature review. Informatics, 8(4). https://doi.org/10.3390/informatics8040074
Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39. https://doi.org/10.23 07/3151312
Fox, G., & Longart, P. (2016). Electronic word-of-mouth: Successful communication strategies for restaurants. Tourism and Hospitality Management, 22(2), 211–223. https://doi.org/10. 20867/thm.22.2.5
Godes, D., & Mayzlin, D. (2004). Using online conversations to study word-of-mouth communication. Marketing Science, 23(4), 545–560. https://doi.org/10.1287/mksc.1040.0071
Hamilton, M., Kaltcheva, V. D., & Rohm, A. J. (2016). Social Media and Value Creation: The Role of Interaction Satisfaction and Interaction Immersion. Journal of Interactive Marketing, 36, 121–133. https://doi.org/10.1016/j.int mar.2016.07.001
Harris, L., & Rae, A. (2009). Social networks: The future of marketing for small business. Journal of Business Strategy, 30(5), 24–31. https://doi.org/10.1108 /02756660910987581
Hennig-Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004). Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the Internet? Journal of Interactive Marketing, 18(1), 38–52. https://doi.org/10.1002/dir.10 073
Hsieh, M.-T., & Tsao, W.-C. (2014). Reducing perceived online shopping risk to enhance loyalty: A website quality perspective. Journal of Risk Research, 17(2), 241–261. https://doi.org/10.108 0/13669877.2013.7941 52
Ioakimidis, M. (2010). Online marketing of professional sports clubs: Engaging fans on a new playing field. International Journal of Sports Marketing and Sponsorship, 11(4), 271–282. https://doi.org/10.1108/ijsms-11-04-2010-b002
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. https://doi.org/10.1108/03090560510572061
Kamarulzaman, Y. (2007). Adoption of travel e-shopping in the UK. International Journal of Retail and Distribution Management, 35(9), 703–719. https://doi.org/10.1108/09590550710773255
Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of Social Media. Business Horizons, 53(1), 59–68. https://doi.org/10.1016/j.bushor.2009.09.003
Kozinets, R. V. (2002). The field behind the screen: Using netnography for marketing research in online communities. Journal of Marketing Research, 39(1), 61–72. https://doi.org/10.1509/jmkr.39.1.61.18935
Krishen, A. S., Dwivedi, Y. K., Bindu, N., & Kumar, K. S. (2021). A broad overview of interactive digital marketing: A bibliometric network analysis. Journal of Business Research, 131(March), 183–195. https://doi.org /10.1016/j.jbusres.2021.03.061
Li, H., & Kannan, P. K. (2014). Attributing conversions in a multichannel online marketing environment: An empirical model and a field experiment. Journal of Marketing Research, 51(1), 40–56. https://doi.org/10. 1509/jmr.13.0050
Liu, Y. (2006). Word of mouth for movies: Its dynamics and impact on box office revenue. Journal of Marketing, 70(3), 74–89. https://doi.org/10.1509/ jmkg.70.3.74
Lu, L.-C., Chang, W.-P., & Chang, H.-H. (2014). Consumer attitudes toward blogger’s sponsored recommendations and purchase intention: The effect of sponsorship type, product type, and brand awareness. Computers in Human Behaviour, 34, 258–266. https://doi.org/10.1016/j.chb.2014.02.007
Mangold, W. G., & Faulds, D. J. (2009). Social media: The new hybrid element of the promotion mix. Business Horizons, 52(4), 357–365. https://doi.org/10.1016/j.bushor.2009.03.002
Martínez-López, F. J., Merigó, J. M., Gázquez-Abad, J. C., & Ruiz-Real, J. L. (2020). Industrial marketing management: Bibliometr- ic overview since its foundation. Industrial Marketing Manage- ment, 84(July 2019), 19–38. https://doi.org/10.1016/j.indmarm an.2019.07.014
Milne, G. R. (2000). Privacy and ethical issues in database/interacti- ve marketing and public policy: A research framework and overview of the special issue. Journal of Public Policy and Marketing, 19(1), 1–6. https://doi.org/10.1509/jppm.19.1.1.169 34
Mollen, A., & Wilson, H. (2010). Engagement, telepresence and interactivity in online consumer experience: Reconciling scholastic and managerial perspectives. Journal of Business Research, 63(9–10), 919–925. https://doi.org/10.1016/j.jbusres. 2009.05.014
Moore, E. S., & Rideout, V. J. (2007). The online marketing of food to children: Is it just fun and games? Journal of Public Policy and Marketing, 26(2), 202–220. https://doi.org/10.1509/jppm. 26.2.202
Othman, N., Mohd Suki, N., & Mohd Suki, N. (2021). Evolution Trends of Facebook Marketing in Digital Economics Growth: A Bibliometric Analysis. International Journal of Interactive Mobile Technologies, 15(20), 68–82. https://doi.org/10.3991/iji m.v15i20.23741
Öztürk, O., Kocaman, R., & Kanbach, D. K. (2024). How to design bibliometric research: an overview and a framework proposal. Review of Managerial Science, 18(11), 3333–3361. https://doi.org/10.1007/S11846-024-00738-0/TABLES/7
Park, C., & Lee, T. M. (2009). Antecedents of Online Reviews’ Usage and Purchase Influence: An Empirical Comparison of U.S. and Korean Consumers. Journal of Interactive Marketing, 23(4), 332–340. https://doi.org/10.1016/j.intmar.2009.07.001
Purnomo, A., Asitah, N., Firdausi, N., Putra, S. W., & Raya, M. K. F. (2021). A study of digital marketing research using bibliometric analysis. Proceedings of 2021 International Conference on Information Management and Technology, ICIMTech 2021, August, 807–812. https://doi.org/10.1109/ICIMTech53080.202 1.9535086
Rosário, A., & Raimundo, R. (2021). Consumer marketing strategy and e-commerce in the last decade: A literature review. Journal of Theoretical and Applied Electronic Commerce Research, 16(7), 3003–3024. https://doi.org/10. 3390/jtaer16070164
Scharl, A., Dickinger, A., & Murphy, J. (2005). Diffusion and succe- ss factors of mobile marketing. Electronic Commerce Research and Applications, 4(2), 159–173. https://doi.org/10.10 16/j.elerap.2004.10.006
Sharma, A. (2011). Take-off of online marketing: Casting the next generation strategies. Business Strategy Series, 12(4), 202–208. https://doi.org/10.1108 /17515631111155160
Stokburger-Sauer, N. (2010). Brand community: Drivers and outcomes. Psychology and Marketing, 27(4), 347–368. https://doi.org/10.1002/ mar.203 35
Tatar, A., de Amorim, M. D., Fdida, S., & Antoniadis, P. (2014). A survey on predicting the popularity of web content. Journal of Internet Services and Applications, 5(1). https://doi.org/10.118 6/s13174-014-0008-y
Trejo-Castro, A. I., Martinez-Ledesma, E., & Martinez-Torteya, A. (2025). A bibliometric review on in silico drug repurposing: Performance analysis, science mapping and text mining (2000–2023). Heliyon, 11(10), e42750. https://doi.org/10.1016/J.HELI YON.2025.E42750
Tsao, W.-C., & Hsieh, M.-T. (2012). Exploring how relationship quality influences positive eWOM: The importance of customer commitment. Total Quality Management and Business Excellence, 23(7–8), 821–835. https://doi.org/10.1080/14783363
.2012.661137
Urban, G. L., Amyx, C., & Lorenzon, A. (2009). Online Trust: State of the Art, New Frontiers, and Research Potential. Journal of Interactive Marketing, 23(2), 179–190. https://doi.org/10.1016/ j.intmar.2009.03.0 01
Viglia, G., Minazzi, R., & Buhalis, D. (2016). The influence of e-word-of-mouth on hotel occupancy rate. International Journal of Contempora- y Hospitality Management, 28(9), 2035–2051. https://doi.org/10.1108 /IJCHM-05-2015-0238
Yoon, S.-J. (2002). The antecedents and consequences of trust in online-purchase decisions. Journal of Interactive Marketing, 16(2), 47–63. https://doi.org/10.1002/dir.10008
Young Kim, E., & Kim, Y.-K. (2004). Predicting online purchase intentions for clothing products. European Journal of Marketing, 38(7), 883–897. https://doi.org/10.1108/03090560410539302
Zhu, F., & Zhang, X. (2010). Impact of online consumer reviews on Sales: The moderating role of product and consumer characteristics. Journal of Marketing, 74(2), 133–148. https://doi.org/10.1509/jmkg.74.2.133
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