Journal Press India^®

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This study aims to analyse research trends and thematic progression in the field of online purchase intention (OPI) and identify potential areas for future exploration. By conducting quantitative bibliometric analysis on 1470 publications from the Scopus database, the study identifies six primary clusters in OPI research: Security, Customer Emotions and Psychology, User Experience, Social Influence, Intention and Consumer Behaviour, eWom and Behaviour. Thematic progression over four-time ranges is established, revealing changes in trends, subjects, and theoretical viewpoints. The study also identifies potential hot research areas, including the behavioural impact of AI and chatbot integration, customer patience, parasocial interactions, and the relationship between social presence and trust development among consumers. This comprehensive analysis contributes to the existing literature by guiding future research and practice in the field of OPI and emphasises the importance of quantitative bibliometric analysis in exploring research trends and thematic progression.

Keywords

Online Purchase Intention; Bibliometric Analysis; E-commerce; Online Consumer Behaviour; Electronic Commerce; B2C Commerce

1. Baber, H., & Fanea-Ivanovici, M. (2022). Fifteen years of crowdfunding – a bibliometric analysis. Technology Analysis & Strategic Management, 1–15. Retreived from https://doi.org/10.1080/09537325.2022.2089548
2. Baumgartner, H. & Pieters, R. (2003). The structural influence of marketing journals: A citation analysis of the discipline and its subareas over time. Journal of Marketing, 67(2), 123–139.
3. Brüel, G. S. & Hulthén, K. (2022). E-commerce packaging as an embedded resource in three network settings. The International Review of Retail, Distribution and Consumer Research, 1–18. Retreived from https://doi.org/10.1080/09593969.2022.2099950
4. Callon, M., Courtial, J. P., & Laville, F. (1991). Co-word analysis as a tool for describing the network of interactions between basic and technological research: The case of polymer chemsitry. Scientometrics 22, 155–205. Retreived from https://doi.org/10.1007/BF02019280
5. Chakraborty, U. (2019). The impact of source credible online reviews on purchase intention: The mediating roles of brand equity dimensions. Journal of Research in Interactive Marketing, 13(2), 142–161. Retreived from https://doi.org/10.1108/JRIM-06-2018-0080
6. Chen, Y. H., Hsu, I. C. & Lin, C. C. (2010). Website attributes that increase consumer purchase intention: A conjoint analysis. Journal of Business Research, 63, 1007–1014. Retreived from https://doi.org/10.1016/j.jbusres.2009.01.023
7. Clemes, M. D., Gan, C., & Zhang, J. (2014). An empirical analysis of online shopping adoption in Beijing, China. Journal of Retailing and Consumer Services, 21(3), 364–375.
8. Coulter, N., Monarch, I., & Konda, S. (1998). Software engineering as seen through its research literature: A study in co-word analysis. Journal of the American Society for Information Science, 49(13), 1206–1223. Retreived from https://doi.org/10.1002/(SICI)1097-4571(1998)49:13<1206::AID-ASI7>3.0.CO;2-F
9. Diallo, M. F., & Siqueira, J. R. (2017). How previous positive experiences with store brands affect purchase intention in emerging countries: A comparison between Brazil and Colombia. International Marketing Review, 34(4), 536-558.
10. 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, 285–296. Retrieved from https://doi.org/10.1016/j.jbusres.2021.04.070
11. Durán-Sánchez, A., Del Río, M. de la C., Álvarez-García, J., & García-Vélez, D. F. (2019). Mapping of scientific coverage on education for Entrepreneurship in Higher Education. Journal of Enterprising Communities: People and Places in the Global Economy, 13(1/2), 84–104.
12. Fahimnia, B., Sarkis, J. & Davarzani, H. (2015). Green supply chain management: A review and bibliometric analysis. International Journal of Production Economics, 162, 101–114. Retrieved from https://doi.org/10.1016/j.ijpe.2015.01.003
13. Gefen, D., Karahanna, E. & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly 27(1), 51-90. Retrieved from https://doi.org/10.2307/30036519
14. Gielens, K. & Steenkamp, J. B. E. M. (2019). Branding in the era of digital (dis)intermediation. International Journal of Research in Marketing, 36, 367–384. Retrieved from https://doi.org/10.1016/j.ijresmar.2019.01.005
15. Henderson, M., Shurville, S. & Fernstrom, K. (2009). The quantitative crunch: The impact of bibliometric research quality assessment exercises on academic development at small conferences. Campus-Wide Information Systems, 26, 149–167.
16. Kamalul, A. S., Mohan, T. & Goh, Y. N. (2018). Influence of consumers’ perceived risk on consumers’ online purchase intention. Journal of Research in Interactive Marketing, 12, 309–327. Retrieved from https://doi.org/10.1108/JRIM-11-2017-0100
17. Kim, J. & McMillan, S. J. (2008). Evaluation of internet advertising research: A bibliometric analysis of citations from key sources. Journal of Advertising, 37, 99–112. Retrieved from https://doi.org/10.2753/JOA0091-3367370108
18. Koseoglu, M.A., Rahimi, R., Okumus, F. & Liu, J. (2016). Bibliometric studies in tourism. Annals of Tourism Research, 61, 180–198. Retrieved from https://doi.org/10.1016/j.annals.2016.10.006
19. Lim, W. M., 2015. Antecedents and consequences of e-shopping: An integrated model. Internet Research, 25, 184–217. Retrieved from https://doi.org/10.1108/IntR-11-2013-0247
20. Mainardes W. E., de Almeida, C. M. & de-Oliveira, M. (2019). e-Commerce: An analysis of the factors that antecede purchase intentions in an emerging market. Journal of International Consumer Marketing, 31, 447–468. Retrieved from https://doi.org/10.1080/08961530.2019.1605643
21. Merigó, J. M., & Yang, J. B. (2017). A bibliometric analysis of operations research and management science. Omega, 73, 37–48.
22. Mingers, J., & Lipitakis, E. (2010). Counting the citations: A comparison of Web of Science and Google Scholar in the field of business and management. Scientometrics, 85(2), 613–625.
23. Nisar, T. M. & Prabhakar, G. (2017). What factors determine e-satisfaction and consumer spending in e-commerce retailing? Journal of Retailing and Consumer Services, 39, 135–144. Retrieved from https://doi.org/10.1016/j.jretconser.2017.07.010
24. Pappas, I. O., Kourouthanassis, P. E., Giannakos, M. N. & Lekakos, G. (2017). The interplay of online shopping motivations and experiential factors on personalised e-commerce: A complexity theory approach. Telematics and Informatics, 34, 730–742. Retrieved from https://doi.org/10.1016/j.tele.2016.08.021
25. Paul, J., Lim, W. M., O’Cass, A., Hao, A. W. & Bresciani, S. (2021). Scientific procedures and rationales for systematic literature reviews (SPAR‐4‐SLR). International Journal of Consumer Studies, 45(4), 1-16.
26. Samiee, S. & Chabowski, B. R. (2012). Knowledge structure in international marketing: A multi-method bibliometric analysis. Journal of the Academy of Marketing Science, 40, 364-386.
27. van Eck, N. J. & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics 84, 523–538. Retrieved from https://doi.org/10.1007/s11192-009-0146-3
28. Venkatesh, V., Speier-Pero, C. & Schuetz, S. (2022). Why do people shop online? A comprehensive framework of consumers’ online shopping intentions and behaviors. ITP 35, 1590–1620. Retrieved from https://doi.org/10.1108/ITP-12-2020-0867
29. Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 157-178.
30. Ventre, I. & Kolbe, D. (2020). The impact of perceived usefulness of online reviews, trust and perceived risk on online purchase intention in emerging markets: A Mexican Perspective. Journal of International Consumer Marketing, 32, 287–299. Retrieved from https://doi.org/10.1080/08961530.2020.1712293
31. Verma, S. & Yadav, N. (2021). Past, present, and future of electronic word of mouth (EWOM). Journal of Interactive Marketing, 53, 111–128. Retrieved from https://doi.org/10.1016/j.intmar.2020.07.001
32. Wagner, G., Schramm-Klein, H. & Steinmann, S. (2020). Online retailing across e-channels and e-channel touchpoints: Empirical studies of consumer behavior in the multichannel e-commerce environment. Journal of Business Research, 107, 256–270. Retrieved from https://doi.org/10.1016/j.jbusres.2018.10.048
33. Wareham, J., Zheng, J. G. & Straub, D. (2005). Critical themes in electronic commerce research: A meta-analysis. Journal of Information Technology, 20, 1–19. Retrieved from https://doi.org/10.1057/palgrave.jit.2000034