Mapping Consumer Behavior in E-Commerce: A Bibliometric Perspective

Authors

  • Aiupova Nurgul Hungarian University of Agriculture and Life Science, Doctoral School of Economic and Regional Science
  • Krisztina Taralik Hungarian University of Agriculture and Life Science

DOI:

https://doi.org/10.33032/acr.7122

Keywords:

consumer behavior, e-commerce, bibliometric analysis, systematic review, PRISMA approach

Abstract

This study aims to provide a detailed analysis of academic literature on consumer behavior in e-commerce, specifically in business and management. Using the PRISMA framework, we conducted a systematic search in the Web of Science database covering the last 25 years. This resulted in a dataset of 629 documents. For the quantitative analysis and visualizations, we used tools like Biblioshiny and VOSviewer to chart research trends and academic networks.

The findings include lists of the most productive authors and their institutions, the top contributing countries, and keywords that show how the field has changed over time.

The results highlight key areas explored so far, such as online buying behavior, digital trust, and technology adoption. This study gives policymakers, academics, and practitioners a solid foundation to better understand consumer behavior in online marketplaces. This understanding can help inform strategic decisions that respond to changing digital trends and consumer needs.

Author Biography

References

Aria, M. – Cuccurullo, C. (2017): Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. https://doi.org/10.1016/J.JOI.2017.08.007

Broadus, R. N. (1987): Toward a definition of “bibliometrics.” Scientometrics, 12(5–6), 373–379. https://doi.org/10.1007/BF02016680

Callon, M. – Courtial, J. P. – Turner, W. A. – Bauin, S. (1983): From translations to problematic networks: An introduction to co-word analysis. Social Science Information, 22(2), 191–235. https://doi.org/10.1177/053901883022002003

Chevalier, J. A. – Mayzlin, D. (2006): The effect of word of mouth on sales: Online book re-views. 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 infor-mation technology. MIS Quarterly: Management Information Systems, 13(3), 319–339. https://doi.org/10.2307/249008

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. https://doi.org/10.1016/J.JBUSRES.2021.04.070

Dwivedi, Y. K. – Ismagilova, E. – Hughes, D. L. – Carlson, J. – Filieri, R. – Jacobson, J. – Jain, V. – Karjaluoto, H. – Kefi, H. – Krishen, A. S. – Kumar, V. – Rahman, M. M. – Raman, R. – Rauschnabel, P. A. – Rowley, J. – Salo, J. – Tran, G. A. – Wang, Y. (2021a): Setting the future of digital and social media marketing research: Perspectives and research propositions. Interna-tional Journal of Information Management, 59, 102168. https://doi.org/10.1016/J.IJINFOMGT.2020.102168

Dwivedi, Y. K. – Ismagilova, E. – Hughes, D. L. – Carlson, J. – Filieri, R. – Jacobson, J. – Jain, V. – Karjaluoto, H. – Kefi, H. – Krishen, A. S. – Kumar, V. – Rahman, M. M. – Raman, R. – Rauschnabel, P. A. – Rowley, J. – Salo, J. – Tran, G. A. – Wang, Y. (2021b): Setting the future of digital and social media marketing research: Perspectives and research propositions. Interna-tional Journal of Information Management, 59, 102168. https://doi.org/10.1016/J.IJINFOMGT.2020.102168

Ellegaard, O. – Wallin, J. A. (2015a): The bibliometric analysis of scholarly production: How great is the impact? Scientometrics, 105(3), 1809–1831. https://doi.org/10.1007/S11192-015-1645-Z/TABLES/9

Ellegaard, O. – Wallin, J. A. (2015b): The bibliometric analysis of scholarly production: How great is the impact? Scientometrics, 105(3), 1809–1831. https://doi.org/10.1007/S11192-015-1645-Z

Gefen, D. – Karahanna, E. – Straub, D. W. (2003): Trust and tam in online shopping: AN in-tegrated model. MIS Quarterly: Management Information Systems, 27(1), 51–90. https://doi.org/10.2307/30036519

Giao, H. N. K. – Vuong, B. N. – Quan, T. N. (2020): The influence of website quality on con-sumer’s e-loyalty through the mediating role of e-trust and e-satisfaction: An evidence from online shopping in Vietnam. Uncertain Supply Chain Management, 8(2), 351–370. https://doi.org/10.5267/J.USCM.2019.11.004

Gusenbauer, M. – Haddaway, N. R. (2020): Which academic search systems are suitable for systematic reviews or meta-analyses? Evaluating retrieval qualities of Google Scholar, PubMed, and 26 other resources. Research Synthesis Methods, 11(2), 181–217. https://doi.org/10.1002/JRSM.1378

Hajli, N. (2015a): Social commerce constructs and consumer’s intention to buy. International Journal of Information Management, 35(2), 183–191. https://doi.org/10.1016/J.IJINFOMGT.2014.12.005

Hofstede. (2001): Culture’s Consequences. Comparing Values, Behaviors, Institutions, and Organizations Across Nations (2nd Ed | PDF. https://ru.scribd.com/document/564670458/Hofstede-G-2001-Culture-s-Consequences-Comparing-Values-Behaviors-Institutions-And-Organizations-Across-Nations-2nd-Ed

Hood, W. W. – Wilson, C. S. (2001): The literature of bibliometrics, scientometrics, and infor-metrics. Scientometrics, 52(2), 291–314. https://doi.org/10.1023/A:1017919924342

Huang, Z. – Benyoucef, M. (2013): From e-commerce to social commerce: A close look at de-sign features. Electronic Commerce Research and Applications, 12(4), 246–259. https://doi.org/10.1016/J.ELERAP.2012.12.003

Jan van Eck, N. – Waltman, L. (2014): Visualizing bibliometric networks. https://doi.org/10.1007/978-3-319-10377-8_13

Jerab, D. (2025): Factors Influencing Consumer Purchase Decisions in Online Shopping. SSRN Electronic Journal. https://doi.org/10.2139/SSRN.5086957

Kim, R. Y. (2020a): The Impact of COVID-19 on Consumers: Preparing for Digital Sales. IEEE Engineering Management Review, 48(3), 212–218. https://doi.org/10.1109/EMR.2020.2990115

Lemon, K. N. – Verhoef, P. C. (2016): Understanding customer experience throughout the cus-tomer journey. Journal of Marketing, 80(6), 69–96. https://doi.org/10.1509/JM.15.0420

Lian, J. W. – Yen, D. C. (2014): Online shopping drivers and barriers for older adults: Age and gender differences. Computers in Human Behavior, 37, 133–143. https://doi.org/10.1016/J.CHB.2014.04.028

Liu, W. (2017): The changing role of non-English papers in scholarly communication: Evidence from Web of Science’s three journal citation indexes. Learned Publishing, 30(2), 115–123. https://doi.org/10.1002/LEAP.1089

Martín-Martín, A. – Orduna-Malea, E. – Thelwall, M. – Delgado López-Cózar, E. (2018): Go-ogle Scholar, Web of Science, and Scopus: A systematic comparison of citations in 252 subject categories. Journal of Informetrics, 12(4), 1160–1177. https://doi.org/10.1016/J.JOI.2018.09.002

McKnight, D. H. – Choudhury, V. – Kacmar, C. (2002): Developing and validating trust meas-ures for e-commerce: An integrative typology. Information Systems Research, 13(3), 334–359. https://doi.org/10.1287/ISRE.13.3.334.81

Moher, D. – Liberati, A. – Tetzlaff, J. – Altman, D. G. (2009): Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Journal of Clinical Epidemiology, 62(10), 1006–1012. https://doi.org/10.1016/J.JCLINEPI.2009.06.005

Pantano, E. – Pizzi, G. – Scarpi, D. – Dennis, C. (2020): Competing during a pandemic? Retai-lers’ ups and downs during the COVID-19 outbreak. Journal of Business Research, 116, 209–213. https://doi.org/10.1016/J.JBUSRES.2020.05.036

Pantano, E. – Vannucci, V. (2019). Who is innovating? An exploratory research of digital tech-nologies diffusion in retail industry. Journal of Retailing and Consumer Services, 49, 297–304. https://doi.org/10.1016/J.JRETCONSER.2019.01.019

Patrick, M. – Ilias, P. (2019): Big data and business analytics: A research agenda for realizing business value. https://www.researchgate.net/publication/337543997_Big_data_and_business_analytics_A_research_agenda_for_realizing_business_value

Pavlou, P. A. (2016): Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model. International Journal of Electronic Commerce / Spring, 7(3), 101–134. https://doi.org/10.1080/10864415.2003.11044275

Shankar, V. – Kleijnen, M. – Ramanathan, S. – Rizley, R. – Holland, S. – Morrissey, S. (2016): Mobile Shopper Marketing: Key Issues, Current Insights, and Future Research Avenues. Journal of Interactive Marketing, 34, 37–48. https://doi.org/10.1016/J.INTMAR.2016.03.002

Shareef, M. A. – Baabdullah, A. – Dutta, S. – Kumar, V. – Dwivedi, Y. K. (2018): Consumer adoption of mobile banking services: An empirical examination of factors according to adoption stages. Journal of Retailing and Consumer Services, 43, 54–67. https://doi.org/10.1016/J.JRETCONSER.2018.03.003

Sheth, J. (2020): Impact of Covid-19 on consumer behavior: Will the old habits return or die? Journal of Business Research, 117, 280–283. https://doi.org/10.1016/J.JBUSRES.2020.05.059

Szász, L. – Bálint, C. – Csíki, O. – Nagy, B. Z. – Rácz, B. G. – Csala, D. – Harris, L. C. (2022): The impact of COVID-19 on the evolution of online retail: The pandemic as a window of op-portunity. Journal of Retailing and Consumer Services, 69, 103089. https://doi.org/10.1016/J.JRETCONSER.2022.103089

Venkatesh, V. – Morris, M. G. – Davis, G. B. – Davis, F. D. (2003): User acceptance of infor-mation technology: Toward a unified view. MIS Quarterly: Management Information Systems, 27(3), 425–478. https://doi.org/10.2307/30036540

Verhoef, P. C. – Stephen, A. T. – Kannan, P. K. – Luo, X. – Abhishek, V. – Andrews, M., Bart, Y. – Datta, H. – Fong, N. – Hoffman, D. L. – Hu, M. M. – Novak, T. – Rand, W. – Zhang, Y. (2017). Consumer Connectivity in a Complex, Technology-enabled, and Mobile-oriented World with Smart Products. Journal of Interactive Marketing, 40, 1–8. https://doi.org/10.1016/J.INTMAR.2017.06.001

Yadav, N. – Thoke, M. – Shrivastav, R. – Prajapati, V. (2024): Consumer Behavior in online purchasing. International Journal of Advanced Multidisciplinary Research and Studies, 4(3), 1108–1112. https://doi.org/10.62225/2583049X.2024.4.3.2908

Zollo, L. – Filieri, R. – Rialti, R. – Yoon, S. (2020): Unpacking the relationship between social media marketing and brand equity: The mediating role of consumers’ benefits and experience. Journal of Business Research, 117, 256–267. https://doi.org/10.1016/J.JBUSRES.2020.05.001

Zupic, I. – Čater, T. (2015): Bibliometric Methods in Management and Organization. Organiza-tional Research Methods, 18(3), 429–472. https://doi.org/10.1177/1094428114562629

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Published

2025-12-15

How to Cite

Aiupova, N., & Taralik, K. (2025). Mapping Consumer Behavior in E-Commerce: A Bibliometric Perspective. Acta Carolus Robertus, 15(Különszám), 153–168. https://doi.org/10.33032/acr.7122

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