THE TALENT PIPELINE: DEVELOPING AND RETAINING A FUTURE-READY MARKETING TEAM
Main Article Content
Susi
Lukmanul Hakim
Dahrul Aman Harahap
This study examines the development of a talent pipeline for building and retaining future-ready marketing teams in an increasingly dynamic and technology-driven environment. As digital transformation, artificial intelligence, and data-driven marketing reshape the industry, organizations face growing challenges in addressing talent shortages and skill gaps. Traditional approaches to talent management are often insufficient to meet the evolving demands of modern marketing roles, particularly in areas such as analytics, digital platforms, and strategic thinking. To address these issues, this study adopts a qualitative review-based approach, synthesizing existing literature and industry insights to develop an integrative framework for marketing talent management. The findings identify key competencies required for future-ready marketing teams, including digital, analytical, creative, and strategic skills, and highlight the importance of managing talent across the stages of attraction, development, retention, and advancement. The proposed framework emphasizes the integration of recruitment, continuous learning, technology utilization, and organizational culture to create a sustainable and adaptable talent pipeline. The study concludes that a holistic and strategic approach is essential for organizations seeking to remain competitive in a rapidly evolving marketing landscape. While the study contributes to both theory and practice by offering a unified perspective, it is limited by its conceptual nature. Future research should focus on empirical validation and explore the role of emerging technologies in shaping marketing talent strategies.
Asfahani, A. M. (2024). Fusing talent horizons: the transformative role of data integration in modern talent management. Discover Sustainability, 5(1). https://doi.org/10.1007/s43621-024-00212-7
Cillo, P., & Rubera, G. (2024). Generative AI in innovation and marketing processes: A roadmap of research opportunities. Journal of the Academy of Marketing Science, 53(3), 684–701. https://doi.org/10.1007/s11747-024-01044-7
Cioppi, M., Curina, I., Francioni, B., & Savelli, E. (2023). Digital transformation and marketing: a systematic and thematic literature review. Italian Journal of Marketing. https://doi.org/10.1007/s43039-023-00067-2
Das, K., Mungra, Y., Ambika, A., & Dhir, A. (2023). Creative Meta-Skills: Construct, Dimensions and Implications for Marketing Professionals. Australasian Marketing Journal, 32(2), 98–112. https://doi.org/10.1177/14413582231154268
Elhajjar, S. (2023). The current and future state of the marketing management profession. Journal of Marketing Theory and Practice, 32(2), 233–250. https://doi.org/10.1080/10696679.2023.2166535
Fenwick, A., Molnar, G., & Frangos, P. (2024). The critical role of HRM in AI-driven digital transformation: a paradigm shift to enable firms to move from AI implementation to human-centric adoption. Discover Artificial Intelligence, 4(1). https://doi.org/10.1007/s44163-024-00125-4
Fernandez-Vidal, J., Antonio Perotti, F., Gonzalez, R., & Gasco, J. (2022). Managing digital transformation: The view from the top. Journal of Business Research, 152, 29–41. https://doi.org/10.1016/j.jbusres.2022.07.020
Grewal, D., Guha, A., Satornino, C. B., & Becker, M. (2024). The Future of Marketing and Marketing Education. Journal of Marketing Education. https://doi.org/10.1177/02734753241269838
Homburg, C., & Wielgos, D. M. (2022). The value relevance of digital marketing capabilities to firm performance. Journal of the Academy of Marketing Science, 50(4), 666–688. https://doi.org/10.1007/s11747-022-00858-7
Kobets, D. (2024). Digitalization and its Impact on the Development of Contemporary Marketing Strategies. Economic Affairs, 69(2). https://doi.org/10.46852/0424-2513.3.2024.26
Kumar, V., Ashraf, A. R., & Nadeem, W. (2024). AI-powered marketing: What, where, and how? International Journal of Information Management. https://doi.org/10.1016/j.ijinfomgt.2024.102783
Li, L. (2022). Reskilling and Upskilling the Future-ready Workforce for Industry 4.0 and Beyond. Information Systems Frontiers, 26(5), 1697–1712. https://doi.org/10.1007/s10796-022-10308-y
Mikalef, P., Islam, N., Parida, V., Singh, H., & Altwaijry, N. (2023). Artificial intelligence (AI) competencies for organizational performance: A B2B marketing capabilities perspective. Journal of Business Research. https://doi.org/10.1016/j.jbusres.2023.113998
Muthaluri, J. (2024). Optimizing Supply Chain Management And Marketing Strategies: AI And ML Integration For Competitive Advantage. Educational Administration: Theory and Practice. https://doi.org/10.53555/kuey.v30i5.4494
Nyagadza, B. (2022). Sustainable digital transformation for ambidextrous digital firms: systematic literature review, meta-analysis and agenda for future research directions. Sustainable Technology and Entrepreneurship, 1(3), 100020. https://doi.org/10.1016/j.stae.2022.100020
Park, J., & Kim, S.-J. (2025). Entrepreneurial Competencies in the Era of Digital Transformation: A Systematic Literature Review. Digit. https://doi.org/10.3390/digital5040046
Pfajfar, G., Mitręga, M., & Shoham, A. (2024). International dynamic marketing capabilities: developments and a research agenda. International Marketing Review, 41(1), 1–41. https://doi.org/10.1108/imr-10-2023-0283
Plangger, K., Grewal, D., de Ruyter, K., & Tucker, C. (2022). The future of digital technologies in marketing: A conceptual framework and an overview. Journal of the Academy of Marketing Science, 50(6), 1125–1134. https://doi.org/10.1007/s11747-022-00906-2
Plangger, K., Grewal, D., Ruyter, K. de, & Tucker, C. (2022). The future of digital technologies in marketing: A conceptual framework and an overview. Journal of the Academy of Marketing Science. https://doi.org/10.1007/s11747-022-00906-2
Polomoshnov, J., Masso, A., & Lobanova, K. (2025). Comparing Digital, Data, and AI Literacy: A Narrative Review. Information Polity, 31(1), 13–26. https://doi.org/10.1177/15701255251401863
Santana, M., & Díaz-Fernández, M. (2022). Competencies for the artificial intelligence age: visualisation of the state of the art and future perspectives. Reviews of Management Sciences. https://doi.org/10.1007/s11846-022-00613-w
Ye, C., Kim, Y., & Cho, Y.-N. (2023). Digital Marketing and Analytics Education: A Systematic Review. Journal of Marketing Education. https://doi.org/10.1177/02734753231166414
