Influencer Marketing: A Citation and Co-citation Analysis within Business and Management Domains
DOI:
https://doi.org/10.52756/ijerr.2024.v44spl.013Keywords:
Bibliometric analysis, citation analysis, co-citation analysis, influencer marketing, social media influencersAbstract
Influencer marketing has emerged as a popular approach businesses use to incorporate social influence into their operations and marketing strategies. It seems to be a useful and cost-effective strategy. It ensures a broad reach to highly engaged audiences and is frequently not interpreted by consumers as advertising. Many companies use influencers on social media to market their products to certain audiences. Carryminati, Khusha Kapila, Bhuvan Bam, and Riaz are famous social media influencers. The purpose of this study is to use bibliometric analysis to compile the body of knowledge on influencer marketing in the business and management area from 2018 to 2024. BiblioShiny software was used to analyze 462 papers that were taken out of the Scopus database. This paper conducts citations and co-citations analysis, identifies recent trends, and offers useful background information on influencer marketing. The results show a notable and quick rise (54.5%) in this sector, indicating a noticeable increase in interest. The USA and Hong Kong emerged as leading nations in terms of total citations (3050) and average article citations (107.7), respectively. Social media, Commerce, Marketing, Consumer behavior, perception, and artificial intelligence are the trending topics of influencer marketing research, where artificial intelligence is the latest trend. Lou C (1650) and Yuan S (1335) are the most influential authors in terms of citation. “Journal of Retailing and Consumer Services” is the top source with maximum citations (1943) and articles (37). Various bibliometric studies have been carried out to explore the concept of influencer marketing in general or other specific domains. There is a scarcity of bibliometric research that assesses the influencer marketing literature within the business and management domain or through citation and co-citation analysis. This study addresses this research gap. These findings will have significant implications that can greatly benefit researchers, decision-makers, and professionals in crafting policies. This bibliometric study concludes with limitations, and recommendations for further study.
References
Abhishek., & Srivastava, M. (2021). Mapping the influence of influencer marketing: a bibliometric analysis. Marketing Intelligence and Planning, 39(7), 979-1003. https://doi.org/10.1108/MIP-03-2021-0085
Alan, P. (1969). Statistical Bibliography or Bibliometrics? Journal of Documentation.
Alsharif, A. H., Salleh, N. Z. Md., Baharun, R., Abuhassna, H., & Hashem E, A. R. (2022). A global research trends of neuromarketing: 2015-2020. Revista de Comunicación, 21(1), 15–32. https://doi.org/10.26441/rc21.1-2022-a1
Amiri, A. M., Kushwaha, B. P., & Singh, R. (2023). Visualisation of global research trends and future research directions of digital marketing in small and medium enterprises using bibliometric analysis. Journal of Small Business and Enterprise Development, 30(3), 621–641. https://doi.org/10.1108/jsbed-04-2022-0206
Arash Salehpour. (2022). Bibliometric Review of Applications of Deep Learning in Marketing: Advances in Resources and Top Trend Analysis. Journal of Artificial Intelligence and Capsule Networks, 4(4), 230–244. https://doi.org/10.36548/jaicn.2022.4.001
Arora, A., Bansal, S., Kandpal, C., Aswani, R., & Dwivedi, Y. (2019). Measuring social media influencer index- insights from facebook, Twitter and Instagram. Journal of Retailing and Consumer Services, 49, 86–101. https://doi.org/10.1016/j.jretconser.2019.0
Audrezet, A., de Kerviler, G., & Guidry Moulard, J. (2020). Authenticity under threat: When social media influencers need to go beyond self-presentation. Journal of Business Research, 117, 557–569. https://doi.org/10.1016/j.jbusres.2018.07.008
Bansal, R., Saini, S., Ngah, A. H., & Durga Prasad, T. (2024). Proselytizing the potential of influencer marketing via artificial intelligence: mapping the research trends through bibliometric analysis. Cogent Business & Management, 11(1). https://doi.org/10.1080/23311975.2024.2372889
Beichert, M., Bayerl, A., Goldenberg, J., & Lanz, A. (2024). Revenue Generation Through Influencer Marketing. Journal of Marketing, 88(4), 40–63. https://doi.org/10.1177/00222429231217471
Binh Nguyen, P. M., Pham, X. L., & To Truong, G. N. (2023). A bibliometric analysis of research on tourism content marketing: Background knowledge and thematic evolution. Heliyon, 9(2), e13487. https://doi.org/10.1016/j.heliyon.2023.e13487
Boateng, S. L. (2022). Influencer Marketing: A Bibliometric Analysis of 10 Years of Scopus-Indexed Research. Digital Innovations, Business and Society in Africa, 139–164. https://doi.org/10.1007/978-3-030-77987-0_7
Bubphapant, J., & Brandão, A. (2023). Content marketing research: A review and research agenda. International Journal of Consumer Studies, 48(1). Portico. https://doi.org/10.1111/ijcs.12984
Campbell, C., & Farrell, J. R. (2020). More than meets the eye: The functional components underlying influencer marketing. Business Horizons, 63(4), 469–479. https://doi.org/10.1016/j.bushor.2020.03.003
Castelli, S., & Pepe, A. (2023). School-parents relationships: a bibliometric study on 40 years of scientific publications. International Journal about Parents in Education, 2(1). https://doi.org/10.54195/ijpe.18146
Castelli, S., & Pepe, A. (2023). School-parents relationships: a bibliometric study on 40 years of scientific publications. International Journal about Parents in Education, 2(1). https://doi.org/10.54195/ijpe.18146
Chen, Y., Qin, Z., Yan, Y., & Huang, Y. (2024). The Power of Influencers: How Does Influencer Marketing Shape Consumers’ Purchase Intentions? Sustainability, 16(13), 5471. https://doi.org/10.3390/su16135471
Dahiya, A., Kumar, A., Duggal, S., Kumar Singh, P., & Dhoundiyal, H. (2022). Analysing Research Trends in the Indian Hospitality and Tourism Sector: A Bibliometric Analysis for the Period 2000-21. Atna Journal of Tourism Studies, 17(2), 35 - 68. https://doi.org/10.12727/ajts.28.2
De Moya-Anegon, F., Guerrero-Bote, V. P., Lopez-Illescas, C., & Moed, H. F. (2018). Statistical relationships between corresponding authorship, international co-authorship and citation impact of national research systems. Journal of Informetrics, 12(4), 1251-1262. https://doi.org/10.1016/j.joi.2018.10.004
Farooq, R. (2023). Mapping the field of knowledge management: a bibliometric analysis using R. VINE Journal of Information and Knowledge Management Systems.
Farooq, R. (2022). A review of knowledge management research in the past three decades: a bibliometric analysis. VINE Journal of Information and Knowledge Management Systems, 54(2), 339–378. https://doi.org/10.1108/vjikms-08-2021-0169
Gao, P., Meng, F., Mata, M. N., Martins, J. M., Iqbal, S., Correia, A. B., Dantas, R. M., Waheed, A., Xavier Rita, J., & Farrukh, M. (2021). Trends and Future Research in Electronic Marketing: A Bibliometric Analysis of Twenty Years. Journal of Theoretical and Applied Electronic Commerce Research, 16(5), 1667–1679. https://doi.org/10.3390/jtaer16050094
Ghorbani, Z., Kargaran, S., Saberi, A., Haghighinasab, M., Jamali, S. M., & Ale Ebrahim, N. (2021). 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
Han, R., Lam, H. K. S., Zhan, Y., Wang, Y., Dwivedi, Y. K., & Tan, K. H. (2021). Artificial intelligence in business-to-business marketing: a bibliometric analysis of current research status, development and future directions. Industrial Management & Data Systems, 121(12), 2467–2497. https://doi.org/10.1108/imds-05-2021-0300
Heradio, R., De la Torre, L., Galan, D., Cabrerizo, F. J., Herrera-Viedma, E., &Dormido, S. (2016). Virtual and remote labs in education: A bibliometric analysis. Computers & Education, 98, 14-38. https://doi.org/10.1016/j.compedu.2016.03.010
Hew, J.-J. (2017). Hall of fame for mobile commerce and its applications: A bibliometric evaluation of a decade and a half (2000–2015). Telematics and Informatics, 34(1), 43–66. https://doi.org/10.1016/j.tele.2016.04.003
Hudders, L., De Jans, S., & De Veirman, M. (2020). The commercialization of social media stars: a literature review and conceptual framework on the strategic use of social media influencers. International Journal of Advertising, 40(3), 327–375. https://doi.org/10.1080/02650487.2020.1836925
Jain, R., Kaur, A., & Mittal, P. (2023). A Co-occurrence Network Analysis of research work in supply chain finance and corporate sustainable strategy in Industrial sector. International Journal of Experimental Research and Review, 32, 378–386. https://doi.org/10.52756/ijerr.2023.v32.033
Jiménez-Castillo, D., & Sánchez-Fernández, R. (2019). The role of digital influencers in brand recommendation: Examining their impact on engagement, expected value and purchase intention. International Journal of Information Management, 49, 366–376. https://doi.org/10.1016/j.ijinfomgt.2019.07.009
Jin, S. V., Muqaddam, A., & Ryu, E. (2019). Instafamous and social media influencer marketing. Marketing Intelligence & Planning, 37(5), 567–579. https://doi.org/10.1108/mip-09-2018-0375
Khurana, T., Pannu, S., & Dalal, G. (2024). Social Media Influencer Marketing: Building a Deeper Understanding through Bibliometric Analysis. Vision: The Journal of Business Perspective. https://doi.org/10.1177/09722629231225567
Ki, C. ‘Chloe,’ & Kim, Y. (2019). The mechanism by which social media influencers persuade 469–479. https://doi.org/10.1016/j.bushor.2020.03.003
Castelli, S., & Pepe, A. (2023). School-parents relationships: a bibliometric study on 40 years of scientific publications. International Journal about Parents in Education, 2(1). https://doi.org/10.54195/ijpe.18146
Castelli, S., & Pepe, A. (2023). School-parents relationships: a bibliometric study on 40 years of scientific publications. International Journal about Parents in Education, 2(1). https://doi.org/10.54195/ijpe.18146
Chen, Y., Qin, Z., Yan, Y., & Huang, Y. (2024). The Power of Influencers: How Does Influencer Marketing Shape Consumers’ Purchase Intentions? Sustainability, 16(13), 5471. https://doi.org/10.3390/su16135471
Dahiya, A., Kumar, A., Duggal, S., Kumar Singh, P., & Dhoundiyal, H. (2022). Analysing Research Trends in the Indian Hospitality and Tourism Sector: A Bibliometric Analysis for the Period 2000-21. Atna Journal of Tourism Studies, 17(2), 35 - 68. https://doi.org/10.12727/ajts.28.2
De Moya-Anegon, F., Guerrero-Bote, V. P., Lopez-Illescas, C., & Moed, H. F. (2018). Statistical relationships between corresponding authorship, international co-authorship and citation impact of national research systems. Journal of Informetrics, 12(4), 1251-1262. https://doi.org/10.1016/j.joi.2018.10.004
Farooq, R. (2023). Mapping the field of knowledge management: a bibliometric analysis using R. VINE Journal of Information and Knowledge Management Systems.
Farooq, R. (2022). A review of knowledge management research in the past three decades: a bibliometric analysis. VINE Journal of Information and Knowledge Management Systems, 54(2), 339–378. https://doi.org/10.1108/vjikms-08-2021-0169
Gao, P., Meng, F., Mata, M. N., Martins, J. M., Iqbal, S., Correia, A. B., Dantas, R. M., Waheed, A., Xavier Rita, J., & Farrukh, M. (2021). Trends and Future Research in Electronic Marketing: A Bibliometric Analysis of Twenty Years. Journal of Theoretical and Applied Electronic Commerce Research, 16(5), 1667–1679. https://doi.org/10.3390/jtaer16050094
Ghorbani, Z., Kargaran, S., Saberi, A., Haghighinasab, M., Jamali, S. M., & Ale Ebrahim, N. (2021). 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
Han, R., Lam, H. K. S., Zhan, Y., Wang, Y., Dwivedi, Y. K., & Tan, K. H. (2021). Artificial intelligence in business-to-business marketing: a bibliometric analysis of current research status, development and future directions. Industrial Management & Data Systems, 121(12), 2467–2497. https://doi.org/10.1108/imds-05-2021-0300
Heradio, R., De la Torre, L., Galan, D., Cabrerizo, F. J., Herrera-Viedma, E., &Dormido, S. (2016). Virtual and remote labs in education: A bibliometric analysis. Computers & Education, 98, 14-38. https://doi.org/10.1016/j.compedu.2016.03.010
Hew, J.-J. (2017). Hall of fame for mobile commerce and its applications: A bibliometric evaluation of a decade and a half (2000–2015). Telematics and Informatics, 34(1), 43–66. https://doi.org/10.1016/j.tele.2016.04.003
Hudders, L., De Jans, S., & De Veirman, M. (2020). The commercialization of social media stars: a literature review and conceptual framework on the strategic use of social media influencers. International Journal of Advertising, 40(3), 327–375. https://doi.org/10.1080/02650487.2020.1836925
Jain, R., Kaur, A., & Mittal, P. (2023). A Co-occurrence Network Analysis of research work in supply chain finance and corporate sustainable strategy in Industrial sector. International Journal of Experimental Research and Review, 32, 378–386. https://doi.org/10.52756/ijerr.2023.v32.033
Jiménez-Castillo, D., & Sánchez-Fernández, R. (2019). The role of digital influencers in brand recommendation: Examining their impact on engagement, expected value and purchase intention. International Journal of Information Management, 49, 366–376. https://doi.org/10.1016/j.ijinfomgt.2019.07.009
Jin, S. V., Muqaddam, A., & Ryu, E. (2019). Instafamous and social media influencer marketing. Marketing Intelligence & Planning, 37(5), 567–579. https://doi.org/10.1108/mip-09-2018-0375
Khurana, T., Pannu, S., & Dalal, G. (2024). Social Media Influencer Marketing: Building a Deeper Understanding through Bibliometric Analysis. Vision: The Journal of Business Perspective. https://doi.org/10.1177/09722629231225567
Ki, C. ‘Chloe,’ & Kim, Y. (2019). The mechanism by which social media influencers persuade Shafi, S., Reshi, A. A., Shah, A., Al-Mutairi, R. H., Al-Mutairi, G. N., & Ahmad, A. (2024). Artificial Intelligence Driven Bibliometric Insights: Pioneering Down Syndrome Research. International Journal of Experimental Research and Review, 37(Special Vo), 68–84. https://doi.org/10.52756/ijerr.2024.v37spl.006
Shen, C., & Ho, J. (2020). Technology-enhanced learning in higher education: A bibliometric analysis with latent semantic approach. Computers in Human Behavior, 104, 106177. https://doi.org/10.1016/j.chb.2019.106177
Shweta, (2024). Digital Transformation of Indian Healthcare: A Bibliometric Analysis Based on Telemedicine. Anusandhan-NDIM’s Journal of Business and Management Research, 6(2), 13–23. https://doi.org/10.56411/anusandhan.2024.v6i2.13-23
Shweta., & Arora, M. (2024). A Comprehensive Evalution of Digital Wellbeing Literature: A Bibliometric Analysis. In: Holistic Approaches to Achieving Planetary Resilience. First Edition., pp. 69–82.
Shweta., Kamra, V., & Arora, M. (2024). Modern health solution: acceptance and adoption of telemedicine among Indian women. Int. J. Services and Standards,14(2), 126–159. https://doi.org/10.1504/IJSS.2024.140983
?imandan, R. (2023). Electronic Commerce Research during the COVID-19 Pandemic: A Bibliometric Analysis. Journal of International Commerce, Economics and Policy, 14(02). https://doi.org/10.1142/s1793993323500102
Song, X. (2023). Digital marketing vs. Luxury research: A Bibliometric Analysis. The Anáhuac Journal, 23(1). https://doi.org/10.36105/theanahuacjour.2023v23n1.05
Tanwar, A. S., Chaudhry, H., & Srivastava, M. K. (2022). Trends in Influencer Marketing: A Review and Bibliometric Analysis. Journal of Interactive Advertising, 22(1), 1–27. https://doi.org/10.1080/15252019.2021.2007822
Valenzuela Fernandez, L. M., Nicolas, C., Merigó, J. M., & Arroyo-Cañada, F.-J. (2019). Industrial marketing research: a bibliometric analysis (1990-2015). Journal of Business & Industrial Marketing, 34(3), 550–560. https://doi.org/10.1108/jbim-07-2017-0167
Waltman, L., & Traag, V. A. (2021). Use of the journal impact factor for assessing individual articles: Statistically flawed or not? F1000Research, 9, 366. https://doi.org/10.12688/f1000research.23418.2
Wang, S., Liu, M. T., & Pérez, A. (2022). A bibliometric analysis of green marketing in marketing and related fields: From 1991 to 2021. Asia Pacific Journal of Marketing and Logistics, 35(8), 1857–1882. https://doi.org/10.1108/apjml-07-2022-0651
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