A Thematic Analysis on Emerging Trends in Marketing Management: A Conceptual Perspective
Article Sidebar
Main Article Content
Abstract: The thematic analysis adopted in this paper is a method that examines the evolving nature of marketing management field conceptually. Basic marketing principles has remained essential but the need for digital technological adoption coupled with artificial intelligence and human focused methods and moral standards has brought dynamics in marketing. This paper highlights several modern trends in marketing management which includes customization for customers together with digital changes and eco- friendly progressions and innovative patterns of practices.
The research used theoretical frameworks for evaluation because it has revealed the exact operational hindrances and focus on current modern strategic development opportunities. In this paper is also highlighted that organizations must implement agile principles alongside data driven decisions and a compressive understanding of customer experiences for sustainable market competition.
Recommendations in the analysis includes direct practitioners to adapt their marketing methods or processes to contemporary marketplace needs together with suggestions for researchers to continue with their studies into new fields of study in the marketing management perspectives.
Downloads
References
Aaker, D. A. (2012). Building strong brands. Simon & Schuster.
Armstrong, G., & Kotler, P. (2020). Marketing: An Introduction (14th ed.). Pearson.
Berman, B., & Evans, J. R. (2013). Retail Management: A Strategic Approach* (12th ed.). Pearson.
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. *Qualitative Research in Psychology, 3 (2), 77–101. https://doi.org/10.1191/1478088706qp063oa DOI: https://doi.org/10.1191/1478088706qp063oa
Brynjolfsson, E., Hu, Y. J., & Rahman, M. S. (2013). Competing in the age of omnichannel retailing. *MIT Sloan Management Review, 54*(4), 23–29.
Chaffey, D., & Ellis-Chadwick, F. (2019). *Digital Marketing: Strategy, Implementation, and Practice* (7th ed.). Pearson.
Chaffey, D., & Smith, P. (2022). *Digital Marketing: Strategy, Implementation, and Practice* (8th ed.). Pearson.
Gomez-Uribe, C. A., & Hunt, N. (2016). The Netflix recommender system: Algorithms, business value, and innovation. *ACM Transactions on Management Information Systems, 6*(4), 1–19. https://doi.org/10.1145/2843948 DOI: https://doi.org/10.1145/2843948
Kotler, P., & Keller, K. L. (2016). *Marketing Management* (15th ed.). Pearson.
Lemon, K. N., & Verhoef, P. C. (2016). Understanding customer experience throughout the customer journey. *Journal of Marketing, 80*(6), 69–96. https://doi.org/10.1509/jm.15.0420 DOI: https://doi.org/10.1509/jm.15.0420
Matz, S. C., Kosinski, M., Nave, G., & Stillwell, D. J. (2017). Psychological targeting as an effective approach to digital mass persuasion. *Proceedings of the National Academy of Sciences, 114*(48), 12714–12719. https://doi.org/10.1073/pnas.1710966114 DOI: https://doi.org/10.1073/pnas.1710966114
Nowell, L. S., Norris, J. M., White, D. E., & Moules, N. J. (2017). Thematic analysis: Striving to meet the trustworthiness criteria. *International Journal of Qualitative Methods, 16*(1), 1–13. https://doi.org/10.1177/1609406917733847 DOI: https://doi.org/10.1177/1609406917733847
Peppers, D., & Rogers, M. (2016). *Managing Customer Experience and Relationships: A Strategic Framework*. Wiley. DOI: https://doi.org/10.1002/9781119239833
Rust, R. T., & Huang, M. H. (2021). The service revolution and the transformation of marketing science. Marketing Science, 40*(1), 1–19. https://doi.org/10.1287/mksc.2020.1230 DOI: https://doi.org/10.1287/mksc.2020.1230
Smith, W. R. (1956). Product differentiation and market segmentation as alternative marketing strategies. *Journal of Marketing, 21*(1), 3–8. https://doi.org/10.1177/002224295602100102 DOI: https://doi.org/10.1177/002224295602100102
West, D. C., Ford, J., & Ibrahim, E. (2015). *Strategic Marketing: Creating Competitive Advantage*. Oxford University Press.

This work is licensed under a Creative Commons Attribution 4.0 International License.
All articles published in our journal are licensed under CC-BY 4.0, which permits authors to retain copyright of their work. This license allows for unrestricted use, sharing, and reproduction of the articles, provided that proper credit is given to the original authors and the source.