Trends in E-Commerce And Social Media Research in Asia: Five Years of Scientometric and Content Analysis
DOI:
https://doi.org/10.37385/jaets.v5i1.2420Keywords:
E-commerce, Social Media, Scientometric, Web of Science, ScopusAbstract
This paper aims to provide scientometric and content analysis towards e-commerce and social media research in Asia. The Web of Science (WoS) and Scopus databases were used in searching for articles. There were 884 (433 publications from the Web of Science and 451 articles from Scopus) papers analysed. Based on the analysis of two databases, the number of publications from the Web of Science database showed a significant increase yearly. In comparison, the Scopus database showed fluctuating growth every year. One of the countries that enormously contributed to the research was China, which can be seen from the author’s and country’s analyses. The ACM International Conference Proceeding Series was the most contributing conference proceedings. Based on the keyword results, there are five keywords that appear most often. Referring to the data from the last two years (2021–2022), the keywords “machine learning” and “social media marketing” are the most frequently used. These two keywords are most often associated with e-commerce and social media keywords. These findings are expected to provide a substantial understanding towards e-commerce and social media research, particularly in the Asian region. This paper will assist researchers in understanding new topics, collaborating with other researchers, and determining relevant sources and countries. Analysed keywords can inspire new research. Consequently, researchers can learn about new technology, societal changes, and impending challenges and opportunities by tracking keyword trends.
Downloads
References
Abdullah, K. H. (2021). Mapping of Marine Safety Publications Using VOSviewer. ASM Science Journal, 16, 1–9. https://doi.org/10.32802/asmscj.2021.774
Abdullah, K. H., Muzawi, R., Gazali, N., & Aziz, F. S. A. (2023). Digital Marketing?: A Scientometric Review. Contemporary Management Research, 19(1), 55–79. https://doi.org/10.7903/cmr.22344
Agus, A. A., Yudoko, G., Mulyono, N., & Imaniya, T. (2021). E-Commerce Performance, Digital Marketing Capability and Supply Chain Capability within E-Commerce Platform: Longitudinal Study Before and After COVID-19. International Journal of Technology, 12(2), 360–370. https://doi.org/10.14716/ijtech.v12i2.4122
Anand, A. (2023). Challenges and opportunities of E-Commerce in India. International Journal of Scientific Multidisciplinary Research, 1(2), 69–72. https://doi.org/10.55927/ijsmr.v1i2.3308
Andonov, A., Dimitrov, G. P., & Totev, V. (2021). Impact of E-commerce on Business Performance. TEM Journal, 10(4), 1558–1564. https://doi.org/10.18421/TEM104-09
Arguelles, J. C. A., & Arguelles-Prieto, R. (2019). The impact factor: implications for research policy, editorial rules and scholarly reputation. FEMS Microbiology Letters, 366(11), 1–3. https://doi.org/10.1093/femsle/fnz132
Baako, I. (2019). Privacy and Security Concerns in Electronic Commerce Websites in Ghana?: A Survey Study. International Journal of Information Engineering and Electronic Business, 10, 19–25. https://doi.org/10.5815/ijcnis.2019.10.03
Baako, I. (2020). An Integrated Vulnerability Assessment of Electronic Commerce Websites. International Journal of Information Engineering and Electronic Business, 5, 24–32. https://doi.org/10.5815/ijieeb.2020.05.03
Bansal, R. (2011). Growth of the Electronic Commerce in China and India: A Comparative Study. Journal OfAsia-Pacific Business, 12(4), 356–374. https://doi.org/10.1080/10599231.2011.611457
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
Bieniek, M. (2023). Returns handling in e-commerce: How to avoid demand negativity in supply chain contracts with returns? Electronic Commerce Research, 0123456789. https://doi.org/10.1007/s10660-023-09689-2
Bihari, A., & Tripathi, S. (2017). A New Method for Key Author Analysis in Research Professionals’ Collaboration Network (R. Chaki, K. Saeed, A. Cortesi, & N. Chaki (eds.)). Springer. https://doi.org/10.1007/978-981-10-3409-1_9
Brahma, A., & Dutta, R. (2020). Role of Social Media and E-Commerce for Business Entrepreneurship. International Journal of Scientific Research in Computer Science Engineering and Information Technology, 6(6), 1–18. https://doi.org/10.32628/CSEIT206559
Daharis, Gazali, N., Perdima, F. E., Abdullah, K. H., & Rahmadani, A. (2023). A scientometric review of global research on technology in physical education. Journal Sport Area, 8(1), 1–13. https://doi.org/10.25299/sportarea.2023.vol8(1).10889
Davarazar, M., Kamali, M., & Lopes, I. (2021). Engineered nanomaterials for (waste) water treatment - A scientometric assessment and sustainability aspects. NanoImpact, 22(October 2020), 100316. https://doi.org/10.1016/j.impact.2021.100316
Delabays, R., & Tyloo, M. (2022). Heavy-Tailed Distribution of the Number of Papers within Scientific Journals. Quantitative Science Studies, 3(3), 776–792. https://doi.org/10.48550/arXiv.2011.05703
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. (2021). Setting the future of digital and social media marketing research: Perspectives and research propositions. International Journal of Information Management, 59(May 2020), 102168. https://doi.org/10.1016/j.ijinfomgt.2020.102168
Elms, D. K. (2017). Evolving Digital and E-Commerce Trade Rules for Northeast Asia. Korea Institute for International Economic Policy (KIEP). https://doi.org/10.2139/ssrn.2945875
Feldbacher, E., Paun, M., Reckendorfer, W., Sidoroff, M., Stanica, A., Strimbu, B., Tusa, I., Vulturescu, V., & Hein, T. (2016). Science of the Total Environment Twenty years of research on water management issues in the Danube Macro-region — past developments and future directions. Science of the Total Environment, 572(1), 1297–1306. https://doi.org/10.1016/j.scitotenv.2015.12.133
Fengnian, W. (2019). Problems and Countermeasures in the Keywords of Academic Papers *. Journalism and Mass Communication, 9(1), 26–32. https://doi.org/10.17265/2160-6579/2019.01.003
Ghorbani, Z., Kargaran, S., Saberi, A., Haghighinasab, M., Jamali, S. M., & Ale Ebrahim, N. (2022). Trends and patterns in digital marketing research: bibliometric analysis. Journal of Marketing Analytics, 10(2), 158–172. https://doi.org/10.1057/s41270-021-00116-9
Gope, J. C., Tabassum, T., Mabrur, M. M., Yu, K., & Arifuzzaman, M. (2022). Sentiment Analysis of Amazon Product Reviews Using Machine Learning and Deep Learning Models. 2022 International Conference on Advancement in Electrical and Electronic Engineering, ICAEEE 2022. https://doi.org/10.1109/ICAEEE54957.2022.9836420
Helden, V. (2020). New development New development: Our hate – love relationship with publication metrics. Public Money & Management, 40(2), 174–177. https://doi.org/10.1080/09540962.2019.1682353
Hsu, K. K. (2019). Discussion on the live broadcast of social media and e-commerce. In L. E.Y., L. E.Y., & L. H. (Eds.), 19th International Conference on Electronic Business, ICEB 2019 (Vols. 2019-Decem, pp. 178–185). International Consortium for Electronic Business. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082595922&partnerID=40&md5=65e1478cf0fcbe54cd587841566df31a
Ingaldi, M., & Ulewicz, R. (2019). How to make e-commerce more successful by use of Kano’s model to assess customer satisfaction in terms of sustainable development. Sustainability (Switzerland), 11(18), 1–22. https://doi.org/10.3390/su11184830
Jain, P. K., Pamula, R., & Ansari, S. (2021). A Supervised Machine Learning Approach for the Credibility Assessment of User-Generated Content. Wireless Personal Communications, 118(4), 2469–2485. https://doi.org/10.1007/s11277-021-08136-5
Kasim, N. M., Fauzi, M. A., Wider, W., & Yusuf, M. F. (2022). Understanding Social Media Usage at Work from the Perspective of Social Capital Theory. Administrative Sciences, 12(4). https://doi.org/10.3390/admsci12040170
Keum, B. T. H., Wang, Y. W., Callaway, J., Abebe, I., Cruz, T., & O’Connor, S. (2022). Benefits and harms of social media use: A latent profile analysis of emerging adults. Current Psychology. https://doi.org/10.1007/s12144-022-03473-5
Kumar, R. (2023). Future of E-commerce in India. International Journal for Multidisciplinary Research, 5(2), 1–8.
Li, B., & Piachaud, D. (2019). Technological innovations and social development in Asia. Journal of Asian Public Policy, 12(1), 1–14. https://doi.org/10.1080/17516234.2018.1546419
Li, Y., Guo, J. e., Sun, S., Li, J., Wang, S., & Zhang, C. (2022). Air quality forecasting with artificial intelligence techniques: A scientometric and content analysis. Environmental Modelling and Software, 149(January), 105329. https://doi.org/10.1016/j.envsoft.2022.105329
Lin, C., & Jeng, W. (2015). Using Content Analysis in LIS Research: Experiences with Coding Schemes Construction and Reliability Measures. Qualitative and Quantitative Methods in Libraries (QQML), 4, 87–95.
Liu, G. H. W., Li, Y., & Lee, N. C.-A. (2021). Size does Matter: How do Micro-influencers Impact Follower Purchase Intention on Social Media? In L. E.Y., Z. H., & Y. B. (Eds.), 21st International Conference on Electronic Business: Corporate Resilience through Electronic Business in the Post-COVID Era, ICEB 2021 (pp. 402–412). International Consortium for Electronic Business.
Luong, H. T., Pham, K. M., Nguyen, A. H. T., Nguyen, H. T. T., Dang, T. T. K., & Giao, Y. T. H. (2022). Payment Intermediary – Key Determinant Influencing Online Payment Intention on E-Commerce Platforms in Vietnam. International Journal of Management and Sustainability, 11(4), 233–247. https://doi.org/10.18488/11.v11i4.3216
Megatama, P., Nuryakin, N., Widowati, R., & Handayani, S. D. (2022). Bibliometric Analysis: Consumers Interest in E-Commerce using VOSviewer. Journal of Economics and Business, 5(3), 218–228. https://doi.org/10.31014/aior.1992.05.03.449
Memeti, A., & Xhaferi, G. (2015). Cultural Differences and Common Regional Challenges for e-Commerce in Asia-Pacific Region. International Journal of Computers & Technology, 14(4), 5646–5649. https://doi.org/10.24297/ijct.v14i4.1966
Mingers, J., & Leydesdorff, L. (2015). A review of theory and practice in scientometrics. European Journal of Operational Research, 246(1), 1–19. https://doi.org/10.1016/j.ejor.2015.04.002
Mumu, J. R., Saona, P., Mamun, M. A. Al, & Azad, M. A. K. (2022). Is Trust Gender Biased? A Bibliometric Review of Trust in E-Commerce. Journal of Internet Commerce, 21(2), 217–245. https://doi.org/10.1080/15332861.2021.1927437
Nurcahyo, R., & Putra, P. A. (2021). Critical factors in indonesia’s e-commerce collaboration. Journal of Theoretical and Applied Electronic Commerce Research, 16(6), 2458–2469. https://doi.org/10.3390/jtaer16060135
Palanisamy, R. (2022). A Survey on E-Commerce Online Shopping. Recent Research Reviews Journal, 1(1), 169–179. https://doi.org/10.36548/rrrj.2022.1.015
Pallivalappil, A. S. (2021). India’s E-Commerce Industry’s Growth and Projected Breakthroughs. International Journal of Case Studies in Business, IT, and Education, 5(2), 314–328. https://doi.org/10.5281/zenodo.5773741
Parikshith, G., & Natesan, G. (2023). Exploring the Benefits of E-commerce Applications for Efficient Online Operations. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 10(2), 158–162. https://doi.org/10.32628/CSEIT2390212
Patma, T. S., Wardana, L. W., Wibowo, A., Narmaditya, B. S., & Akbarina, F. (2021). The impact of social media marketing for Indonesian SMEs sustainability: Lesson from Covid-19 pandemic. Cogent Business and Management, 8(1), 0–16. https://doi.org/10.1080/23311975.2021.1953679
Penu, O. K. ., Boateng, R., & Babatope, L. . (2022). E-Commerce and Globalisation: A Bibliometric Review of 24 Years of Research. In Digital Innovations, Business and Society in Africa. Advances in Theory and Practice of Emerging Markets. Springer, Cham. https://doi.org/10.1007/978-3-030-77987-0_1
Pingping, C., & Ting, Z. (2022). Research on User Behavior of Social E-Commerce. Academic Journal of Business & Management, 4(7), 51–56. https://doi.org/10.25236/AJBM.2022.040708
Priansa, D. J., & Suryawardani, B. (2020). Effects of E-Marketing and Social Media Marketing on E-commerce Shopping Decisions. Jurnal Manajemen Indonesia, 20(1), 76–82. https://doi.org/10.25124/jmi.v20i1.2800
Racz, A., & Markovi?, S. (2018). “Worth (less) papers” – are journal impact factor and number of citations suitable indicators to evaluate quality of scientists? Nova Prisutnost, 16, 369–389. https://doi.org/10.31192/np.16.2.10
Raviya, K., & Vennila, M. S. (2022). An Approach for Recommender System Based on Multilevel Sentiment Analysis Using Hybrid Deep Learning Models. 8th International Conference on Smart Structures and Systems, ICSSS 2022. https://doi.org/10.1109/ICSSS54381.2022.9782172
Razavi, S. G., Hosseini, S. E., & Razavi, S. M. H. (2014). Determination of Barriers to E-Commerce in Companies Producing Sports Equipment and Goods: the Perspective of Sport Managers in Iran. Annals of Applied Sport Science, 2(4), 55–66. https://doi.org/10.18869/acadpub.aassjournal.2.4.55
Reddy, N. C. S., Subhashini, V., Rai, D., Sriharsha, Vittal, B., & Ganesh, S. (2021). Product rating estimation using machine learning. 6th IEEE International Conference on Communication and Electronics Systems, ICCES 2021, 1366–1369. https://doi.org/10.1109/ICCES51350.2021.9489208
Rita, P., & Ramos, R. F. (2022). Global Research Trends in Consumer Behavior and Sustainability in E-Commerce: A Bibliometric Analysis of the Knowledge Structure. Sustainability (Switzerland), 14(15), 1–20. https://doi.org/10.3390/su14159455
Rosário, A., & Raimundo, R. (2021). Consumer marketing strategy and e-commerce in the last decade: A literature review. Journal of Theoretical and Applied Electronic Commerce Research, 16(7), 3003–3024. https://doi.org/10.3390/jtaer16070164
Ruiz-Rosero, J., Ramirez-Gonzalez, G., & Khanna, R. (2019). Field programmable gate array applications-A scientometric review. Computation, 7(4), 1–111. https://doi.org/10.3390/COMPUTATION7040063
Ruiz-Rosero, J., Ramirez-Gonzalez, G., & Viveros-Delgado, J. (2019). Software survey: ScientoPy, a scientometric tool for topics trend analysis in scientific publications. Scientometrics, 121(2), 1165–1188. https://doi.org/10.1007/s11192-019-03213-w
Saberi, H. R., Rabiei, H., Zare, A., Jazari, M. D., & Malakoutikhah, M. (2022). Analysis of the research subjects and hot topics of occupational diseases through the Web of Science from 1975 to 2021. Frontiers in Public Health, 10, 1–15. https://doi.org/10.3389/fpubh.2022.1009203
Santamaria-Granados, L., Mendoza-Moreno, J. F., & Ramirez-Gonzalez, G. (2021). Tourist recommender systems based on emotion recognition—a scientometric review. Future Internet, 13(1), 1–38. https://doi.org/10.3390/fi13010002
Shankaraiah, K., & Mahipal, D. (2018). E-Commerce Growth in India: a Study of Segments Contribution. Academy of Marketing Studies Journal, 22(2), 1–10. https://www.researchgate.net/publication/352246813
Shu, C., Zhou, K. Z., Xiao, Y., & Gao, S. (2016). How Green Management Influences Product Innovation in China: The Role of Institutional Benefits. Journal of Business Ethics, 133(3), 471–485. https://doi.org/10.1007/s10551-014-2401-7
Soegoto, E. S., Christiani, A., & Oktafiani, D. (2018). Development of E-Commerce Technology in World of Online Business. IOP Conference Series: Materials Science and Engineering, 407(1). https://doi.org/10.1088/1757-899X/407/1/012031
Soegoto, E. S., & Eliana, E. (2018). E-Commerce and Business Social Media Today. In A. A.G., N. A.B.D., W. L., & K. P.S. (Eds.), International Conference on Informatics, Engineering, Science and Technology, INCITEST 2018 (Vol. 407, Issue 1). Institute of Physics Publishing. https://doi.org/10.1088/1757-899X/407/1/012034
Soelaiman, L., & Ekawati, S. (2022). The Role of Social Media in Enhancing Business Performance. Proceedings of the Tenth International Conference on Entrepreneurship and Business Management 2021 (ICEBM 2021), 653, 400–404. https://doi.org/10.2991/aebmr.k.220501.060
Sweileh, W. M. (2020). Bibliometric analysis of peer-reviewed literature on food security in the context of climate change from 1980 to 2019. Agriculture and Food Security, 9(1), 1–15. https://doi.org/10.1186/s40066-020-00266-6
Tam, C., Loureiro, A., & Oliveira, T. (2019). The individual performance outcome behind e-commerce: Integrating information systems success and overall trust. Internet Research, 30(2), 439–462. https://doi.org/10.1108/INTR-06-2018-0262
Tran, L. T. T. (2021). Managing the effectiveness of e-commerce platforms in a pandemic. Journal of Retailing and Consumer Services, 58(September 2020), 102287. https://doi.org/10.1016/j.jretconser.2020.102287
Tu, Y., Xu, J., & Shen, H.-W. (2021). KeywordMap: Attention-based Visual Exploration for Keyword Analysis. IEEE 14th Pacific Visualization Symposium (PacificVis), 206–215. https://doi.org/10.1109/PacificVis52677.2021.00034
Ullah, A. (2022). Growth, subject areas, and application of research methods in user studies: A content analysis of articles produced by Pakistani authors. Journal of Librarianship and Information Science, 0(0), 1–10. https://doi.org/10.1177/09610006221124626
Urne, A., & Aggrawal, A. (2018). Social Media: A Determinant Factor of Consumer Life Quality from E- Commerce Perspective. Asian Journal of Management, 9(1), 12–16. https://doi.org/10.5958/2321-5763.2018.00003.3
Usha, G. R., & Dharmanna, L. (2021). Sentiment Analysis on Business Data using Machine Learning. 2nd International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2021. https://doi.org/10.1109/ICSTCEE54422.2021.9708593
Wang, J., Shahzad, F., Ahmad, Z., Abdullah, M., & Hassan, N. M. (2022). Trust and Consumers’ Purchase Intention in a Social Commerce Platform: A Meta-Analytic Approach. SAGE Open, 12(2), 1–15. https://doi.org/10.1177/21582440221091262
Weismayer, C. (2017). Identifying emerging research fields: a longitudinal latent semantic keyword analysis. Scientometrics, 113, 1757–1785. https://doi.org/10.1007/s11192-017-2555-z
Wilson, C., & Stock, J. (2021). ‘Social media comes with good and bad sides, doesn’t it?’ A balancing act of the benefits and risks of social media use by young adults with long-term conditions. Health (United Kingdom), 25(5), 515–534. https://doi.org/10.1177/13634593211023130
Wodeyar, R., & Mulla, K. R. (2022). Big Data Research in India: A Scientometric Review. Journal of Data Science, Informetrics, and Citation Studies, 1(1), 35–40. https://doi.org/10.5530/jcitation.1.1.5
Wu, L., Wang, W., Jing, P., Chen, Y., Zhan, F., Shi, Y., & Li, T. (2020). Travel mode choice and their impacts on environment—a literature review based on bibliometric and content analysis, 2000–2018. Journal of Cleaner Production, 249, 2000–2018. https://doi.org/10.1016/j.jclepro.2019.119391
Xia, L., & Lv, X. (2021). Problems and Countermeasures Existing in E-Commerce Enterprise Network Marketing under the Background of Big Data. Mathematical Problems in Engineering, 2021. https://doi.org/10.1155/2021/4786318
Yang, K., Lee, H., Kim, S., Lee, J., & Oh, D.-G. (2021). KCI vs. WoS: Comparative Analysis of Korean and International Journal Publications in Library and Information Science. Journal of Information Science Theory and Practice, 9(3), 76–106. https://doi.org/10.1633/JISTaP.2021.9.3.6
Yue, H. (2022). Research on E-Commerce Data Standard System in the Era of Digital Economy From the Perspective of Organizational Psychology. Frontiers in Psychology, 13(May), 1–10. https://doi.org/10.3389/fpsyg.2022.900698
Zatonatska, T., Dluhopolskyi, O., Chyrak, I., & Kotys, N. (2019). The internet and e-commerce diffusion in European countries (modeling at the example of Austria, Poland and Ukraine). Innovative Marketing, 15(1), 66–75. https://doi.org/10.21511/im.15(1).2019.06
Zulfiqar, S., & Ahmed, F. (2022). Direct and mediating effects of social media on e-commerce purchase intention: a comparative approach. International Journal of Business Process Integration and Management, 11(1), 19–25. https://doi.org/10.1504/ijbpim.2022.125171
CITEDNESS IN SCOPUS
CITEDNESS IN WOS
