Abstract
The prosperity of cross-border e-commerce (CBEC) has boosted the global economy and strengthened international trade ties. It arouses wide attentions among scholars, which leads to the appearance of massive researches in the CBEC field, which makes it difficult to do a comprehensive and objective analysis in CBEC field by traditional literature review methods. Two bibliometric methods, main path analysis (MPA) and science mapping technology (SciMAT), are used in this study to explore the significant knowledge development trajectory and identify the academic theme evolution in the CBEC field. The CBEC field has three academic origins, namely strategic research, culture adaptability, and online marketing. The theme evolution analysis identifies the key academic themes in different periods; we divide the CBEC field into five different research clusters according to the evolution relations. This study comprehensively analyzes the development process and structures the knowledge construction for the CBEC field, which is advantageous to deepen the understanding of CBEC and provide the enlightenment for future researches.
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References
Alhorr, H. S., Singh, N., & Kim, S. H. (2010). E-commerce on the global platform: Strategic insights on the localization-standardization perspective. Journal of Electronic Commerce Research, 11(1), 6–13. https://search.ebscohost.com/login.aspx?direct=true&db=bsu&AN=48497294&lang=zh-cn&site=eds-live
Alt, R., & Zimmermann, H. D. (2014). Editorial 24/3: Electronic markets and general research. Electronic Markets, 24(3), 161–164. https://doi.org/10.1007/s12525-014-0163-9
Anson, J., Boffa, M., & Helble, M. (2019). Consumer arbitrage in cross-border e-commerce. Review of International Economics, 27(4), 1234–1251. https://doi.org/10.1111/roie.12424
Baack, D. W., & Singh, N. (2007). Culture and web communications. Journal of Business Research, 60(3), 181–188. https://doi.org/10.1016/j.jbusres.2006.11.002
Batagelj, V., & Mrvar, A. (1998). Pajek-program for large network analysis. Connections, 21(2), 47–57.
Bawack, R. E., Wamba, S. F., Carillo, K. D. A., & Akter, S. (2022). Artificial intelligence in E-commerce: A bibliometric study and literature review. Electronic Markets, 32(1), 297–338. https://doi.org/10.1007/s12525-022-00537-z
Bojnec, Š, & Fertö, I. (2009). Impact of the internet on manufacturing trade. Journal of Computer Information Systems, 50(1), 124–132. https://doi.org/10.1080/08874417.2009.11645369
Brysbaert, M., & Smyth, S. (2011). Self-enhancement in scientific research: The self-citation bias. Psychologica Belgica, 51(2), 129–137. https://doi.org/10.5334/pb-51-2-129
Cano, J. A., Londoño-Pineda, A., & Rodas, C. (2022). Sustainable logistics for E-commerce: A literature review and bibliometric analysis. Sustainability, 14(19), 12247. https://doi.org/10.3390/su141912247
Cbcommerce (2021) Top 500 EU cross-border analysis report 2020. Available at: https://www.cbcommerce.eu//. Accessed 1 June 2021
Chao, P., Samiee, S., & Yip, L. S. C. (2003). International marketing and the Asia-Pacific region: Developments, opportunities, and research issues. International Marketing Review, 20(5), 480–492. https://doi.org/10.1108/02651330310498744
Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011). Science mapping software tools: Review, analysis, and cooperative study among tools. Journal of the American Society for Information Science and Technology, 62(7), 1382–1402. https://doi.org/10.1002/asi.21525
Deng, X., & Ouyang, Y. (2022). Cross-border supply chain system constructed by complex computer blockchain for international cooperation. Computational Intelligence and Neuroscience. https://doi.org/10.1155/2022/6221211
Ding, F., Huo, J., & Campos, J. K. (2017). The development of cross border E-commerce. International Conference on Transformations and Innovations in Management, 37, 487–500. https://doi.org/10.2991/ictim-17.2017.37
Fang, Z., & Wang, Q. (2021). Cross-border E-commerce supply chain risk evaluation with FUZZY-ISM model. Security and Communication Networks, 2021, 14. https://doi.org/10.1155/2021/5155524
Freund, C. L., & Weinhold, D. (2004). The effect of the internet on international trade. Journal of International Economics, 62(1), 171–189. https://doi.org/10.1016/S0022-1996(03)00059-X
Giuffrida, M., Mangiaracina, R., Perego, A., & Tumino, A. (2017). Cross-border B2C e-commerce to greater China and the role of logistics: A literature review. International Journal of Physical Distribution & Logistics Management., 47(9), 772–795. https://doi.org/10.1108/IJPDLM-08-2016-0241
Gökmen, A. (2012). Virtual business operations, e-commerce & its significance and the case of Turkey: Current situation and its potential. Electronic Commerce Research, 12(1), 31–51. https://doi.org/10.1007/s10660-011-9084-2
Goldman, S. P., van Herk, H., Verhagen, T., & Weltevreden, J. W. (2021). Strategic orientations and digital marketing tactics in cross-border e-commerce: Comparing developed and emerging markets. International Small Business Journal, 39(4), 350–371. https://doi.org/10.1177/0266242620962658
Gomez-Herrera, E., Martens, B., & Turlea, G. (2014). The drivers and impediments for cross-border e-commerce in the EU. Information Economics and Policy, 28, 83–96. https://doi.org/10.1016/j.infoecopol.2014.05.002
Hazarika, B. B., & Mousavi, R. (2021). Review of cross-border e-commerce and directions for future research. Journal of Global Information Management, 30(2), 1–18. https://doi.org/10.4018/JGIM.20220301.oa1
He, P., Wang, T. Y., Shang, Q., Zhang, J., & Xu, H. (2022). Knowledge mapping of e-commerce supply chain management: a bibliometric analysis. Electronic Commerce Research, 1-37. https://doi.org/10.1007/s10660-022-09609-w
Hummon, N. P., & Dereian, P. (1989). Connectivity in a citation network: The development of DNA theory. Social Networks, 11(1), 39–63. https://doi.org/10.1016/0378-8733(89)90017-8
Kim, T. Y., Dekker, R., & Heij, C. (2017). Cross-border electronic commerce: Distance effects and express delivery in European Union markets. International Journal of Electronic Commerce, 21(2), 184–218. https://doi.org/10.1080/10864415.2016.1234283
Liu, J. S., & Lu, L. Y. Y. (2012). An integrated approach for main path analysis: Development of the Hirsch index as an example. Journal of the American Society for Information Science and Technology, 63(3), 528–542. https://doi.org/10.1002/asi.21692
Liu, J. S., Lu, L. Y., Lu, W. M., & Lin, B. J. (2013). Data envelopment analysis 1978–2010: A citation-based literature survey. Omega, 41(1), 3–15. https://doi.org/10.1016/j.omega.2010.12.006
Liu, J. S., Lu, L. Y., & Ho, M. H. C. (2019). A few notes on main path analysis. Scientometrics, 119(1), 379–391. https://doi.org/10.1007/s11192-019-03034-x
Liu, X., Dou, Z., & Yang, W. (2021a). Research on influencing factors of cross border E-commerce supply chain resilience based on integrated fuzzy DEMATEL-ISM. IEEE Access, 9, 36140–36153. https://doi.org/10.1109/ACCESS.2021.3059867
Liu, A., Osewe, M., Shi, Y., Zhen, X., & Wu, Y. (2021b). Cross-border e-commerce development and challenges in China: A systematic literature review. Journal of Theoretical and Applied Electronic Commerce Research, 17(1), 69–88. https://doi.org/10.3390/jtaer17010004
Lu, X., Xie, Y., Zhang, B., & Li, K. (2022). Supply–demand docking joint decision of cross-border E-commerce under the influence of internet celebrity. Journal of Global Information Technology Management, 25(1), 54–82. https://doi.org/10.1080/1097198X.2021.2020515
Ma, S., Chai, Y., & Zhang, H. (2018). Rise of cross-border E-commerce exports in China. China & World Economy, 26(3), 63–87. https://doi.org/10.1111/cwe.12243
Mangiaracina, R., Perego, A., Seghezzi, A., & Tumino, A. (2019). Innovative solutions to increase last-mile delivery efficiency in B2C e-commerce: A literature review. International Journal of Physical Distribution & Logistics Management, 49(9), 901–920.
Miao, Y., Du, R., Li, J., & Westland, J. C. (2019). A two-sided matching model in the context of B2B export cross-border e-commerce. Electronic Commerce Research, 19(4), 841–861. https://doi.org/10.1007/s10660-019-09361-8
Ministry of Finance of the People’s Republic of China. (2013). The tax policy announcement for export retails through cross-border e-commerce. Accessed through http://www.mof.gov.cn/ on December 30, 2013.
Mou, J., Zhu, W., & Benyoucef, M. (2020). Impact of product description and involvement on purchase intention in cross-border e-commerce. Industrial Management & Data Systems, 120(3), 567–586. https://doi.org/10.1108/IMDS-05-2019-0280
Nie, X. (2022). Cross-border E-commerce logistics transportation alternative selection: A multiattribute decision-making approach. Mathematical Problems in Engineering. https://doi.org/10.1155/2022/4990415
Pastuszak, Z. (2008). e-gaps in the economy: A case of Poland. Industrial Management & Data Systems, 108(5), 613–621. https://doi.org/10.1108/02635570810876741
Pezderka, N., & Sinkovics, R. R. (2011). A conceptualization of e-risk perceptions and implications for small firm active online internationalization. International Business Review, 20(4), 409–422. https://doi.org/10.1016/j.ibusrev.2010.06.004
Romano, N. C., & Pick, J. B. (2012). Cross-organizational and cross-border IS/IT collaboration. Electronic Markets, 22(1), 5–7. https://doi.org/10.1007/s12525-012-0084-4
Rui, C. (2020). Research on classification of cross-border E-commerce products based on image recognition and deep learning. IEEE Access, 9, 108083–108090. https://doi.org/10.1109/ACCESS.2020.3020737
Samiee, S. (2008). Global marketing effectiveness via alliances and electronic commerce in business-to-business markets. Industrial Marketing Management, 37(1), 3–8. https://doi.org/10.1016/j.indmarman.2007.09.003
Sinkovics, R. R. (2010). Relationship learning and performance enhancement via advanced information technology: The case of Taiwanese dragon electronics firms. International Marketing Review, 27(2), 200–222. https://doi.org/10.1108/02651331011037520
Tolstoy, D., Melén Hånell, S., & Özbek, N. (2022). Effectual market creation in the cross-border e-commerce of small-and medium-sized enterprises. International Small Business Journal. https://doi.org/10.1177/02662426211072999
Wang, L., Yang, J., & Yin, S. (2015). Electronic commerce international logistics performance influence factor analysis. International Journal of Mobile Communications, 13(5), 498–509. https://doi.org/10.1504/IJMC.2015.070965
Wang, Q., & Zhang, W. (2021). Research on the evolution path of business ecosystem of platform enterprises. 6th Annual International Conference on Social Science and Contemporary Humanity Development (SSCHD 2020) (pp. 476–484). Atlantis Press.
Wood, C. M. (2004). Marketing and e-commerce as tools of development in the Asia-Pacific region: A dual path. International Marketing Review, 21(3), 301–320. https://doi.org/10.1108/02651330410539639
Xi, X., Wei, M., & Teo, B. S. X. (2023). The construction and evolution path of cross-border e-commerce ecosystem. Central European Management Journal, 31(2), 378–387. https://doi.org/10.57030/23364890.cemj.31.2.42
Yu, D., & Hong, X. (2022). A theme evolution and knowledge trajectory study in AHP using science mapping and main path analysis. Expert Systems with Applications, 205, 117675. https://doi.org/10.1016/j.eswa.2022.117675
Yu, D., & Yan, Z. (2021). Knowledge diffusion of supply chain bullwhip effect: Main path analysis and science mapping analysis. Scientometrics, 126(10), 8491–8515. https://doi.org/10.1007/s11192-021-04105-8
Yu, D., & Ye, T. (2023). Tracing the lean thinking in supply chain management: A comprehensive main path analysis. International Journal of Lean Six Sigma, 14(2), 483–513. https://doi.org/10.1108/IJLSS-06-2022-0135
Yu, D., Fang, A., & Xu, Z. (2023a). The knowledge trajectory and thematic evolution of the rough sets research: A main path and scientific mapping analysis. Applied Soft Computing, 142, 110364. https://doi.org/10.1016/j.asoc.2023.110364
Yu, D., Liu, Y., & Xu, Z. (2023b). Analysis of knowledge evolution in PROMETHEE: A longitudinal and dynamic perspective. Information Sciences, 642, 119151. https://doi.org/10.1016/j.ins.2023.119151
Yuan, C. H., Wu, C. H., Wang, D., Yao, S., & Feng, Y. (2021). Review of consumer-to-consumer E-commerce research collaboration. Journal of Organizational and End User Computing (JOEUC), 33(4), 167–184.
Zhang, H., Jia, F., & You, J. X. (2021). Striking a balance between supply chain resilience and supply chain vulnerability in the cross-border e-commerce supply chain. International Journal of Logistics Research and Applications. https://doi.org/10.1080/13675567.2021.1948978
Zhou, P. (2021). Selection of cross-border E-commerce import model based on intelligent data analytics AHP algorithm. Mobile Information Systems, 2021, 1–8. https://doi.org/10.1155/2021/1351178
Zhu, W., Mou, J., & Benyoucef, M. (2019). Exploring purchase intention in cross-border E-commerce: A three stage model. Journal of Retailing and Consumer Services, 51, 320–330. https://doi.org/10.1016/j.jretconser.2019.07.004
Acknowledgements
The authors extend their sincere gratitude to the anonymous reviewers for their invaluable and constructive feedback, which greatly contributed to the enhancement of this manuscript. This manuscript was supported by the Social Science Foundation Project of Jiangsu Province, China (No. 20GLC010), and the Humanities and Social Science Fund of Ministry of Education, China (No. 19YJC630208).
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He, X., Ye, T. & Yu, D. Exploring the academic development trace and theme evolution in Cross-Border Electronic Commerce. Electron Markets 33, 53 (2023). https://doi.org/10.1007/s12525-023-00676-x
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DOI: https://doi.org/10.1007/s12525-023-00676-x