Scientometric and Bibliometric Analysis in Analytical Marketing Research

• Autorzy: Ewa Więcek-Janka , Sandra Szewczuk
• Języki publikacji: EN

Abstrakty

EN

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.(original abstract)(original abstract)

Słowa kluczowe

EN

Bibliometric analysis; Marketing research

PL

Analiza bibliometryczna; Badania marketingowe

• Czasopismo: Annales Universitatis Mariae Curie-Skłodowska. Sectio H. Oeconomia
• Rocznik: 2022
• Tom: 56
• Numer: nr 1
• Strony: 143--167

Twórcy

autor

Ewa Więcek-Janka

• Poznan University of Technology

autor

Sandra Szewczuk

• Poznan University of Technology, Poland

Bibliografia

• 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).

Identyfikatory

DOI

10.17951/h.2022.56.1.143-167