Bibliometric Analysis of Customers’ Purchase Intention in e-commerce
DOI:
https://doi.org/10.61911/income.v2i1.26Keywords:
purchase intention, bibliometric analysis, e-commerceAbstract
This study aims to conduct a bibliometric analysis of purchase intentions in e-commerce published in 2001 to 2022. This study shows publication trends by utilizing scientific mapping and analyzing publication performance. This study also identified the contributions of authors, journals, countries, and articles using bibliometric analysis. Several countries have contributed to publications of purchase intention in e-commerce. China and the United States have the largest contribution in scientific publications around the world. In addition, "The Journal of retailing and customer services" published the most articles in this field. According to the citation analysis of the author, Gefen D., Karahanna. E, Straub D.W. has a total of 5,315 citations. Another result found that some keywords have large nodes related to their frequency of occurrence and represent information about the relationship between keywords. A visualization of publication trends is presented to serve as a reference and guidance for researchers in future studies.
References
Achimugu, P., Selamat, A., Ibrahim, R., & Mahrin, M. N. R. (2014). A systematic literature review of software requirements prioritization research. Information and Software Technology, 56(6), 568–585. https://doi.org/10.1016/j.infsof.2014.02.001
Alfonzo, P. M., Sakraida, T. J., & Hastings-Tolsma, M. (2014). Bibliometrics: Visualizing the impact of nursing research. Online Journal of Nursing Informatics, 18(1).
Dachyar, M., & Banjarnahor, L. (2017). Factors influencing purchase intention towards. Intangible Capital, 13(5), 946–966.
De Groote, S. L., & Raszewski, R. (2012). Coverage of Google Scholar, Scopus, and Web of Science: A case study of the h-index in nursing. Nursing Outlook, 60(6), 391–400. https://doi.org/10.1016/j.outlook.2012.04.007
Giddings, D. (1997). Innovative Link between the Internet, the Capital Markets, and the SEC: How the Internet Direct Public Offering Helps Small Companies Looking to Raise Capital, An. Pepp. L. Rev., 25(4). http://heinonlinebackup.com/hol-cgi-bin/get_pdf.cgi?handle=hein.journals/pepplr25§ion=52
Hernández-Torrano, D., & Ibrayeva, L. (2020). Creativity and education: A bibliometric mapping of the research literature (1975–2019). Thinking Skills and Creativity, 35(September 2019), 100625. https://doi.org/10.1016/j.tsc.2019.100625
Hollebeek, L. D., Jaeger, S. R., Brodie, R. J., & Balemi, A. (2007). The influence of involvement on purchase intention for new world wine. Food Quality and Preference, 18(8), 1033–1049. https://doi.org/10.1016/j.foodqual.2007.04.007
Hsiao, T. M., & Chen, K. hua. (2020). The dynamics of research subfields for library and information science: an investigation based on word bibliographic coupling. Scientometrics, 125(1), 717–737. https://doi.org/10.1007/s11192-020-03645-9
Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trust-based customer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44(2), 544–564. https://doi.org/10.1016/j.dss.2007.07.001
Li, L. L., Ding, G., Feng, N., Wang, M. H., & Ho, Y. S. (2009). Global stem cell research trend: Bibliometric analysis as a tool for mapping of trends from 1991 to 2006. Scientometrics, 80(1), 39–58. https://doi.org/10.1007/s11192-008-1939-5
Li, X., Wu, P., Shen, G. Q., Wang, X., & Teng, Y. (2017). Mapping the knowledge domains of Building Information Modeling (BIM): A bibliometric approach. Automation in Construction, 84(July), 195–206. https://doi.org/10.1016/j.autcon.2017.09.011
Li, Y., Rong, Y., Ahmad, U. M., Wang, X., Zuo, J., & Mao, G. (2021). A comprehensive review on green buildings research: bibliometric analysis during 1998–2018. Environmental Science and Pollution Research, 28(34), 46196–46214. https://doi.org/10.1007/s11356-021-12739-7
Lim, Y. J., Osman, A., Salahuddin, S. N., Romle, A. R., & Abdullah, S. (2016). Factors Influencing Online Shopping Behavior: The Mediating Role of Purchase Intention. Procedia Economics and Finance, 35(October 2015), 401–410. https://doi.org/10.1016/s2212-5671(16)00050-2
Merigó, J. M., Mas-Tur, A., Roig-Tierno, N., & Ribeiro-Soriano, D. (2015). A bibliometric overview of the Journal of Business Research between 1973 and 2014. Journal of Business Research, 68(12), 2645–2653. https://doi.org/10.1016/j.jbusres.2015.04.006
Merigó, J. M., & Yang, J. B. (2017). A bibliometric analysis of operations research and management science. Omega (United Kingdom), 73, 37–48. https://doi.org/10.1016/j.omega.2016.12.004
Noyons, E. C. M., Moed, H. F., & Van Raan, A. F. J. (1999). Integrating research performance analysis and science mapping. Scientometrics, 46(3), 591–604. https://doi.org/10.1007/BF02459614
Peña-García, N., Gil-Saura, I., Rodríguez-Orejuela, A., & Siqueira-Junior, J. R. (2020). Purchase intention and purchase behavior online: A cross-cultural approach. Heliyon, 6(6). https://doi.org/10.1016/j.heliyon.2020.e04284
Shi, Y., & Liu, X. (2019). Research on the literature of green building based on the web of science: A scientometric analysis in citespace (2002-2018). Sustainability (Switzerland), 11(13). https://doi.org/10.3390/su11133716
Systems, C., Beghtol, C., Chicago, C., Merger, L., & Cairns, P. M. (1986). TECHNICAL Semantic Validity : Concepts of Warrant in Bibliographic Allocation of Human Resources for Collection Development . In Memoriam : Richard S . Angell Resources and Technical Services Division- Goals for Action Letters to the Editor Index to Adver. Library Resources & Technical Services, 30.
Tang, M. C., Cheng, Y. J., & Chen, K. H. (2017). A longitudinal study of intellectual cohesion in digital humanities using bibliometric analyses. Scientometrics, 113(2), 985–1008. https://doi.org/10.1007/s11192-017-2496-6
Thelwall, M. (2008). Bibliometrics to webometrics. Journal of Information Science, 34(4), 605–621. https://doi.org/10.1177/0165551507087238
Thielen, F. W., Van Mastrigt, G. A. P. G., Burgers, L. T., Bramer, W. M., Majoie, H., Evers, S., & Kleijnen, J. (2016). How to prepare a systematic review of economic evaluations for clinical practice guidelines: database selection and search strategy development (part 2/3). Expert Review of Pharmacoeconomics and Outcomes Research, 16(6), 705–721. https://doi.org/10.1080/14737167.2016.1246962
Zupic, I., & Čater, T. (2015). Bibliometric Methods in Management and Organization. Organizational Research Methods, 18(3), 429–472. https://doi.org/10.1177/1094428114562629