The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Research Constituents, Intellectual Structure, and Collaboration Patterns in Journal of International Marketing: An Analytical Retrospective
Abstract
This study presents a retrospective on Journal of International Marketing using bibliometrics. The study finds that the journal’s run has been characterized by continuous growth in publications and citations, with a dominant contribution base of authors from the United States. Authors have consistently shown a strong preference for quantitative research, with a decline in preference for qualitative research and a negligible increase in preference for mixed-methods research in recent years. The major themes in the journal include global branding, internationalization, cross-cultural marketing, and international relationship marketing. An exploration of the factors affecting article citations reveals that article attributes such as the conceptual method, empirical method, article length, title length, article age, and number of keywords play significant roles in increasing the number of citations. Authors affiliated with nonacademic institutions also have a significant and positive influence on total citations. The article concludes with directions for further research.
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Cites
Software survey: VOSviewer, a computer program for bibliometric mapping
van Eck, N. J., & Waltman, L. (2010) · Scientometrics · doi:10.1007/s11192-009-0146-3 · Cited by 21,484
Finding and evaluating community structure in networks
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Born Global or Gradual Global? Examining the Export Behavior of Small and Medium-Sized Enterprises
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Ashraf, A. R., Thongpapanl, N. (., & Auh, S. (2014) · Journal of International Marketing · doi:10.1509/jim.14.0065 · Cited by 318 · cited 1×
“Among articles published between 2014 and 2019, the most cited article was that of Ashraf, Thongpapanl, and Auh (2014), which examines the adoption of online shopping using the technology acceptance model.”
BackgroundMingers, J., & Yang, L. (2017) · European Journal of Operational Research · doi:10.1016/j.ejor.2016.07.058 · Cited by 184
Grouping Euroconsumers: A Culture-Based Clustering Approach
Kale, S. H. (1995) · Journal of International Marketing · doi:10.1177/1069031x9500300304 · Cited by 103
Unraveling scientific impact: Citation types in marketing journals
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Cited by
How to conduct a bibliometric analysis: An overview and guidelines
Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2021.04.070 · Cited by 14,329
Self-citationBibliometric analysis: The main steps
Passas, I. (2024) · Encyclopedia · doi:10.3390/encyclopedia4020065 · Cited by 842
Personalization in personalized marketing: Trends and ways forward
Chandra, S., Verma, S., Lim, W. M., Kumar, S., & Donthu, N. (2022) · Psychology & Marketing · doi:10.1002/mar.21670 · Cited by 595
Self-citationMontazeri, A., Mohammadi, S., M.Hesari, P., Ghaemi, M., Riazi, H., & Sheikhi-Mobarakeh, Z. (2023) · Systematic Reviews · doi:10.1186/s13643-023-02410-2 · Cited by 433
Alexa, what do we know about conversational commerce? Insights from a systematic literature review.
Lim, W. M., Kumar, S., Verma, S., & Chaturvedi, R. (2022) · Psychology & Marketing · doi:10.1002/mar.21654 · Cited by 293
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Metadata
- Authors
- Donthu, N., Kumar, S., Pandey, N., & Lim, W. M.
- Venue
- Journal of International Marketing
- Publisher
- SAGE Publications
- Published
- 2021-04-20
- Volume
- 29
- Issue
- 2
- Pages
- 1-25
- ISSN
- 1069-031X (ISSN-L)
- 1547-7215
- OpenAlex
- W3134873865
- Cited by
- 222
- References
- 9
- FWCI
- 23.03
- Type
- journal article
- Language
- en
- Open access
- closed
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- Donthu, N., Kumar, S., Pandey, N., & Lim, W. M. (2021). Research Constituents, Intellectual Structure, and Collaboration Patterns in Journal of International Marketing: An Analytical Retrospective. Journal of International Marketing. https://doi.org/10.1177/1069031x211004234
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.