Scientometric and Bibliometric Analysis in Analytical Marketing Research

Ewa Więcek-Janka, Sandra Szewczuk


Theoretical background: Analytical marketing is at the heart of scientific research because it plays an important role in building the competitiveness of enterprises and is an opportunity for them to grow.

Purpose of the article: The aim of the article is to present the results of a bibliometric analysis of the developing area of analytical marketing.

Research methods: For this purpose, specialist journals published between 1900 and 2021 were searched in the Web of Science database. The scientometric analyses carried out on their basis concern the number of publications, authorship and co-authorship, the number of citations, journals, thematic categories, institutions, countries and keywords. Over 200 publications cited 2,563 times were analyzed.

Main findings: The concept of analytical marketing was taken into account by over 400 authors, with Maria Petrescu authoring the highest number of publications, and Michel Wedel being the most significant author due to the number of citations. An important role, due to the number of publications in this area, is played by institutions based in the USA (over 50%), including the University of Nevada, Las Vegas (UNLV) and the Nevada System of Higher Education (NSHE). What is more, the conducted research emphasizes the importance of marketing analytics and presents benefits that stem from using it.


analytical marketing; financial marketing; data-driven marketing; Web of Science; VOSviewer

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Akter, S., Hossain, M.A., Lu, Q.S., & Shams, S.M. (2021). Big data-driven strategic orientation in international marketing. International Marketing Review, 38(5), 927–947. doi:10.1108/IMR-11-2020-0256

Araya-Castillo, L., Hernández-Perlines, F., Moraga, H., & Ariza-Montes, A. (2021). Scientometric Analysis of Research on Socioemotional Wealth. Sustainability, 13(7), 3742. doi:10.3390/su13073742

Berman, K., Knight, J., & Case, J. (2007). Inteligencja finansowa. Co kryją liczby. Przewodnik menedżera. Gliwice: Helion.

Branda, A.F., Lala, V., & Gopalakrishna, P. (2018). The marketing analytics orientation (MAO) of firms: Identifying factors that create highly analytical marketing practices. Journal of Marketing Analytics, 6(3), 84–94. doi:10.1057_s41270-018-0036-8

Cao, G., Duan, Y., & Banna, A. (2018). A dynamic capability view of marketing analytics: Evidence from UK firms. Industrial Marketing Management, 76, 72–83. doi:10.1016/j.indmarman.2018.08.002

Cao, G., Tian, N., & Blankson, C. (2021). Big data, marketing analytics, and firm marketing capabilities. Journal of Computer Information Systems doi:10.1080/08874417.2020.1842270

Chen, Y., & Wang, L.T. (2019). Commentary: Marketing and the sharing economy: Digital economy and emerging market challenges. Journal of Marketing, 83(5), 28–31. doi:10.1177/0022242919868470

Decker, R., & Stummer, C. (2017). Marketing management for consumer products in the era of the Internet of Things Advances in Internet of Things, 7(3), 47–70. doi:10.4236/ait.2017.73004

Diodato, V., & Gellaty, P. (2013). Dictionary of Bibliometrics. Oxfordshire: Routledge.

Du, R.Y., Hu, D.Y., & Damangir, S. (2015). Leveraging trends in online searches for product features in market response modeling. Journal of Marketing, 79(1), 29–43. doi:10.1509/jm.12.0459

Du, R.Y., Netzer, O., Schweidel, D.A., & Mitra, D. (2021). Capturing marketing information to fuel growth. Journal of Marketing, 85(1), 163–183. doi:10.1177/0022242920969198

Filieri, R., & Mariani, M. (2021). The role of cultural values in consumers’ evaluation of online review helpfulness: A big data approach International Marketing Review, 38(6), 1267–1288. doi:10.1108/IMR-07-2020-0172

García-Aroca, M., Pandiella, A., Suay, R., Alonso-Arroyo, A., Granda-Orive, J.I., Anguita-Rodríguez, F., & López-García, A. (2017). Analysis of production, impact, and scientific collaboration on difficult airway through the Web of Science and Scopus (1981–2013). Anesthesia and Analgesia, 124(6), 1. doi:10.1213/ANE.0000000000002058

Germann, F., Lilien, G., & Rangaswamy, A. (2013). Performance implications of deploying marketing analytics International Journal of Research in Marketing, 30(2), 114–128. doi:10.1016/j.ijresmar.2012.10.001

Gnizy, I. (2019). Big data and its strategic path to value in international fims. International Marketing Review, 36(3), 318–341. doi:10.1108/IMR-09-2018-0249

Grigsby, M. (2018). Marketing Analytics: A Practical Guide to Improving Consumer Insights Using Data Techniques. London: Kogan Page Limited.

Hallikainen, H. (2020). Fostering B2B sales with customer big data analytics. Industrial Marketing Management, 86, 90–98. doi:10.1016/j.indmarman.2019.12.005

Hanssens, D.M., & Pauwels, K.H. (2016). Demonstrating the value of marketing. Journal of Marketing, 80(6), 173–190. doi:10.1509/jm.15.0417

Hoppner, J., & Griffih, D. (2015). Looking back to move forward: A review of the evolution of research in international marketing channel. Journal of Retailing, 47(91), 610–626. doi:10.1016/j.jretai.2015.04.005

Iacobucci, D., Petrescu, M., Krishen, A., & Bendixen, M. (2019). The state of marketing analytics in research and practice. Journal of Marketing Analytics, 7(3), 152–181. doi:10.1057/s41270-019-00059-2

Jabbar, A., Akhtar, P., & Dani, S. (2020). Real-time big data processing for instantaneous marketing decisions: A problematization approach Industrial Marketing Management, 90, 558–569. doi:10.1016/j.indmarman.2019.09.001

Jobs, C.G., Gilfoil, D.M., & Aukers, S.M. (2016). How marketing organizations can benefi from big data advertising analytics Academy of Marketing Studies Journal, 20(1), 18–36.

Kannan, P.K., & Li, H.A. (2017). Digital marketing: A framework, review and research agenda. International Journal of Research in Marketing, 34(1), 22–45. doi:10.1016/j.ijresmar.2016.11.006

Ketter, W., Peters, M., Collins, J., & Gupta, A. (2016). Competitive benchmarking: An IS research approach to address wicked problems with big data and analytics. MIS Quarterly, 40(4), 1057–1080. doi:10.25300/MISQ/2016/40.4.12

King, J. (2018). How to measure marketing success and find your cost per new student acquisition. Journal of Education Advancement & Marketing, 3(3), 266–278.

Maklan, S., Peppard, J., & Klaus, P. (2015). Show me the money. Improving our understanding of how organizations generate return from technology-led-marketing change. European Journal of Marketing, 49(3/4), 561–595. doi:10.1108/EJM-08-2013-0411

Martin, K., Borah, A., & Palmatier, R.W. (2017). Data privacy: Effects on customer and fim performance. Journal of Marketing, 81(1), 36–58. doi:10.1509/jm.15.0497

Meneghini, R., & Packer, A. (2010). The extent of multidisciplinary authorship of articles on scientometrics and bibliometrics in Brazil Interciencia, 35(7), 510–514.

Merigo, 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. doi:10.1016/j.jbusres.2015.04.006

Miles, D.A. (2014). Measuring customer behavior and profiability: Using marketing analytics to examine customer and marketing behavioral patterns in business ventures. Academy of Marketing Studies Journal, 18(1), 141–170. doi:10.1057/s41270-019-00059-2

Miller, D. (2011). Miller (1983) Revisited: A reflction on EO research and some suggestions for the future Entrepreneurship Theory and Practice, 35(5), 873–894. doi:10.1111/j.1540-6520.2011.00457.x

Mongeon P., & Paul-Hus, A. (2015). The journal coverage of Web of Science and Scopus: A comparative analysis Scientometrics, 106(1), 213–228. doi:10.1007/s11192-015-1765-5

Moorman, C. (2016). Celebrating marketing’s dirty Word. Journal of the Academy of Marketing Science, 44(5), 562–564. doi:10.1007/s11747-016-0483-8

Morewedge, C.K., Monga, A., Palmatier, R.W., Shu, S.B., & Small, D.A. (2021). Evolution of Consumption: A Psychological Ownership Framework. Journal of Marketing, 85(1), 196–218. doi:10.1177/0022242920957007

Musalem, A., Aburto, L., & Bosch, M. (2018). Market basket analysis insights to support category management European Journal of Marketing, 52(7/8), 1550–1573. doi:10.1108/EJM-06-2017-0367

Osareh, F. (1996). Bibliometrics, citation analysis and co-citation analysis: A review of literature I. Libri, 46(3), 149–158. doi:10.1515/libr.1996.46.3.149

Osiński, Z. (2012). Bibliometria metodą analizy i oceny dorobku naukowego historyków najnowszych dziejów Polski. In A. Dymmel & B. Rejakowa (Eds.), Kultura, historia, książka. Zbiór studiów (pp. 605–616). Lublin: UMCS.

Papa, A., Mazzucchelli, A., Ballestra, L.V., & Usai, A. (2021). The open innovation journey along heterogeneous modes of knowledge-intensive marketing collaborations: A cross-sectional study of innovative firms in Europe. International Marketing Review, 39(3), 602–625. doi:10.1108/IMR-03-2021-0109

Paschen, J., Wilson, M., & Robson, K. (2020). #BuyNothingDay: Investigating consumer restraint using hybrid content analysis of Twitter data. European Journal of Marketing, 54(2), 327–350. doi:10.1108/EJM-01-2019-0063

Quinn, L., Dibb, S., Simkin, L., Canhoto, A., & Analogbei, M. (2016). Troubled waters: The transformation of marketing in a digital world. European Journal of Marketing, 50(12), 2103–2133. doi:10.1108/EJM-08-2015-0537

Ritter, T., & Pedersen, C.L. (2020). Digitization capability and the digitalization of business models in business-to-business firms: Past, present, and future. Industrial Marketing Management, 86(4), 180–190. doi:10.1016/j.indmarman.2019.11.019

Rizzo, T. (2015). Maximising results with data-driven fiancial marketing strategies. Journal of Brand Strategy, 4(2), 114–126.

Rubin, R.M., & Chang, C.F. (2013). A bibliometric analysis of health economics articles in the economics literature: 1991–2000. Health Economics, 12(5), 403–414. doi:10.1002/hec.802

Serrano, L., Sianes, A., & Ariza-Montes, A. (2019). Using bibliometric methods to shed light on the concept of sustainable tourism Sustainability, 11(24), 6964. doi:10.3390/su11246964

Shi, X., Li, F., & Chumnumpan, P. (2020). The use of product scarcity in marketing. European Journal of Marketing, 54(2), 380–418. doi:10.1108/EJM-04-2018-0285

Sivarajah, U., Irani, Z., Gupta, S., & Mahroof, K. (2020). Role of big data and social media analytics for business to business sustainability: A participatory web context. Industrial Marketing Management, 86, 163–179. doi:10.1016/j.indmarman.2019.04.005

Spillecke, D., Perrey, J., & Umblijs, A. (2015). Smart analytics: How marketing drives short-term and long-term growth. In Big Data, Analytics, and the Future of Marketing & Sales (pp. 24–28). New York: McKinsey & Company.

Steward, M.D., Narus, J.A., Roehm, M.L., & Ritz, W. (2019). From transactions to journeys and beyond: The evolution of B2B buying process modeling Industrial Marketing Management, 83, 288–300. doi:10.1016/j.indmarman.2019.05.002

Van Eck, N.J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping Scientometrics, 84(2), 523–538. doi:10.1007/s11192-009-0146-3

Vega-Muñoz, A., Arjona-Fuentes, J.M., Ariza-Montes, A., Han, H., & Law, R. (2020). In search of ‘a research front’ in cruise tourism studies International Journal of Hospitality Management, 85, 102353. doi:10.1016/j.ijhm.2019.102353

Velt, H., Torkkeli, L., & Laine, I. (2020). Entrepreneurial ecosystem research: Bibliometric mapping of the domain Journal of Business Ecosystems, 1(2), 1–31. doi:10.4018/JBE.20200701.oa1

Venkatesan R., Farris, P.W., & Wilcox, R.T. (2021). Marketing Analytics: Essential Tools for Data-Driven Decisions. Charlottesville – London: University of Virginia Press.

Verhoef, P., Kooge, E., & Walk, N. (2016). Creating Value with Big Data Analytics: Making Smarter Marketing Decisions. London: Routledge.

Wamba, S.F., Gunasekaran, A., Akter, S., Ji-Fan Ren, S., Dubey, R., & Childe, S.J. (2017). Big data analytics and firm performance: Effects of dynamic capabilities. Journal of Business Research, 70, 356–365. doi:10.1016/j.jbusres.2016.08.009

Wedel, M., & Kannan, P.K. (2016). Marketing analytics for data-rich environments. Journal of Marketing, 80(6), 97–121. doi:10.1509/jm.15.0413

Yang, Y., See-To, E.W.K., & Papagiannidis, S. (2020). You have not been archiving emails for no reason! Using big data analytics to cluster B2B interest in products and services and link clusters to financial performance Industrial Marketing Management, 86, 16–29. doi:10.1016/j.indmarman.2019.01.016

Zhang, J.C., & Watson, G.F. (2020). Marketing ecosystem: An outside-in view for sustainable advantage. Industrial Marketing Management, 88, 287–304. doi:10.1016/j.indmarman.2020.04.023

Zupic, I., & Čater, T. (2015). Bibliometric methods in management and organization. Organizational Research Methods, 18(3), 429–472. doi:10.1177/1094428114562629

Data publikacji: 2022-09-05 12:06:32
Data złożenia artykułu: 2022-01-19 09:45:05


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