Dr. M. (Monika) Kackovic MSc
- Plantage Muidergracht 12
- Kamernummer: M1.15
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Postbus 15953
1001 NL Amsterdam
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Profile
Monika Kackovic is an Associate Professor and coordinator of the MSc BA Entrepreneurship and Innovation in the Creative Industries (EMCI) program at the University of Amsterdam Business School. She also teaches and coordinates core courses in this program, namely the Theories of Entrepreneurship and Management in the Cultural Industries, Strategic Marketing and Management in the Creative Industries, and Strategies in Art & Entertainment. In academic research, she integrates insights from business science and computational social science to understand the dynamics of creativity, entrepreneurship, innovation, and success in the cultural and creative industries. Her work has been published in Entrepreneurship Theory and Practice, Organization Studies, International Journal of Research in Marketing, and ACM Multi-Media; it has also been featured in several popular press outlets, such as Harvard Business Review. Monika received her MSc (cum laude) and Ph.D. from the University of Amsterdam, Faculty of Economics and Business. She also graduated from a prestigious visual arts school and remains active as a visual artist and consultant in the arts and culture sector.
Positions
2022 - present: Associate Professor in Entrepreneurship and Innovation
2023 - present: Creative Industries Business Research Lab Director - CI/X: Lab
2024 - 2028: Committee Member for Grant Decisions for the Visual Arts Post Academic Institutions. The Netherlands Ministry of Education, Culture and Science.
2016 - 2022: Assistant Professor in Entrepreneurship and Innovation
Research programme
Entrepreneurship and Innovation
Dissertation title
Observable Persuaders: A Longitudinal Study on the Effects of Quality Signals in the Contemporary Visual Art Market
Research Grants (awarded)
ClickNL research grant of € 729,929 (co-applicant). Project title: "SafeGenAI: Safe Generative Tools for Creative Industries: Current and Future Practices" (2026-2028)
Data Science Center (DSC) research grant of € 335,000 (co-applicant). Project title: "The Innovation Genome" (2022-2026)
Global Digital Cultures (GDC) research grant of € 30,000 (main applicant). Project title: "Global Digital Art: Perspectives on Categories, Place, and Economic Value in the Crypto Market" (2021-2022)
Digital Transformations ABS/FEB research grant of € 200,000 (co-applicant). Project title: " A New Way of Looking: Tipping Points in Categorization and Canonization in the Art Market" (2020-2024)
Netherlands Organization for Scientific Research (NWO) Strategic research grant of € 450,000 (co-author). Project title: "Corporate Collections as Emerging Heritage: Art Market Dynamics, Corporate Strategies and Public Support for the Arts" (2016-2019)
Netherlands Organization for Scientific Research (NWO) Mosaic Ph.D. research grant of € 200,000 (main applicant). Project title: Observable Persuaders: A Longitudinal Study on the Effects of Quality Signals in the Contemporary Visual Art Market (2012-2016)
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Publicaties
- key publicaties (11)
- refereed (10)
- vakpublicatie (2)
- supervised theses (1)
- proefschrift (1)
- datasets (2)
2026
Efthymiou, A., Kackovic, M., Rudinac, S., Worring, M., & Wijnberg, N. (2026). Being Ranked in a Material World: The visual originality of an artwork and its effects on the artist’s canonization. Organization Studies, 47(1), 93-125. https://doi.org/10.1177/01708406251397720, https://doi.org/10.1177/01708406251397720 [details]- Efthymiou, A., Rudinac, S., Kackovic, M., Wijnberg, N., & Worring, M. (2026). VL-KGE: Vision-Language Models Meet Knowledge Graph Embeddings. In WWW '26: Proceedings of the ACM Web Conference 2026 : April 13-17, 2026, Dubai, United Arab Emirates (pp. 7552-7563). Association for Computing Machinery. https://doi.org/10.1145/3774904.3792677 [details]
2025
- Kackovic, M., & Deichmann, D. (2025). Trying to Pick the “Best of the Best” Is the Wrong Approach. Web publication or website, Harvard Business Review. https://hbr.org/2025/01/research-trying-to-pick-the-best-of-the-best-is-the-wrong-approach
- Liberatore, T., Groth, P., Kackovic, M., & Wijnberg, N. (2025). Influence Beyond Similarity: A Contrastive Learning Approach to Object Influence Retrieval. In M. Alam, M. Rospocher, M. van Erp, L. Hollink, & G. Asefa Gesese (Eds.), Knowledge Engineering and Knowledge Management: 24th International Conference, EKAW 2024, Amsterdam, The Netherlands, November 26–28, 2024 : proceedings (pp. 35-52). (Lecture Notes in Computer Science; Vol. 15370), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-031-77792-9_3 [details]
- Wang, S., Najdenkoska, I., Zhu, H., Rudinac, S., Kackovic, M., Wijnberg, N. M., & Worring, M. (2025). ArtRAG: Retrieval-Augmented Generation with Structured Context for Visual Art Understanding. In MM '25: Proceedings of the 33rd ACM International Conference on Multimedia : October 27-31, 2025, Dublin Ireland (pp. 6700-6709). Association for Computing Machinery. https://doi.org/10.1145/3746027.3755673 [details]
2024
- Wang, S., Shen, J., Efthymiou, A., Rudinac, S., Kackovic, M., Wijnberg, N., & Worring, M. (2024). Prototype-Enhanced Hypergraph Learning for Heterogeneous Information Networks. In S. Rudinac, A. Hanjalic, C. Liem, M. Worring, B. Þ. Jónsson, B. Liu, & Y. Yamakata (Eds.), MultiMedia Modeling: 30th International Conference, MMM 2024, Amsterdam, The Netherlands, January 29–February 2, 2024 : proceedings (Vol. III, pp. 462-476). (Lecture Notes in Computer Science; Vol. 14556). Springer. https://doi.org/10.1007/978-3-031-53311-2_34 [details]
2022
- Kackovic, M., & Wijnberg, N. M. (2022). Artists Finding Galleries: Entrepreneurs Gaining Legitimacy in the Art Market. Entrepreneurship Theory and Practice, 46(4), 1092-1116. https://doi.org/10.1177/1042258720950601 [details]
- Kackovic, M., Hartog, J., van Ophem, H., & Wijnberg, N. (2022). The promise of potential: A study on the effectiveness of jury selection to a prestigious visual arts program. Kyklos, 75(3), 410-435. https://doi.org/10.1111/kykl.12303 [details]
2021
- Efthymiou, A., Rudinac, S., Kackovic, M., Worring, M., & Wijnberg, N. (2021). Graph Neural Networks for Knowledge Enhanced Visual Representation of Paintings. In MM '21: Proceedings of the 29th ACM International Conference on Multimedia : October 20-24, 2021, Virtual Event, China (pp. 3710-3719). Association for Computing Machinery. https://doi.org/10.1145/3474085.3475586 [details]
2020
- Kackovic, M., Bun, M. J. G., Weinberg, C. B., Ebbers, J. J., & Wijnberg, N. M. (2020). Third-party signals and sales to expert-agent buyers: Quality indicators in the contemporary visual arts market. International Journal of Research in Marketing, 37(3), 587-601. https://doi.org/10.1016/j.ijresmar.2019.11.001 [details]
2019
- Hartog, J., & Kackovic, M. (2019). On the Idiosyncrasies of the Labour Market for Visual Artists: Striking features, a formal model, and suggestions for further work. Labour: Review of Labour Economics and Industrial Relations, 33(2), 162-186. https://doi.org/10.1111/labr.12140 [details]
2026
- Efthymiou, A., Kackovic, M., Rudinac, S., Worring, M., & Wijnberg, N. (2026). Being Ranked in a Material World: The visual originality of an artwork and its effects on the artist’s canonization. Organization Studies, 47(1), 93-125. https://doi.org/10.1177/01708406251397720, https://doi.org/10.1177/01708406251397720 [details]
- Efthymiou, A., Rudinac, S., Kackovic, M., Wijnberg, N., & Worring, M. (2026). VL-KGE: Vision-Language Models Meet Knowledge Graph Embeddings. In WWW '26: Proceedings of the ACM Web Conference 2026 : April 13-17, 2026, Dubai, United Arab Emirates (pp. 7552-7563). Association for Computing Machinery. https://doi.org/10.1145/3774904.3792677 [details]
2025
- Liberatore, T., Groth, P., Kackovic, M., & Wijnberg, N. (2025). Influence Beyond Similarity: A Contrastive Learning Approach to Object Influence Retrieval. In M. Alam, M. Rospocher, M. van Erp, L. Hollink, & G. Asefa Gesese (Eds.), Knowledge Engineering and Knowledge Management: 24th International Conference, EKAW 2024, Amsterdam, The Netherlands, November 26–28, 2024 : proceedings (pp. 35-52). (Lecture Notes in Computer Science; Vol. 15370), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-031-77792-9_3 [details]
- Wang, S., Najdenkoska, I., Zhu, H., Rudinac, S., Kackovic, M., Wijnberg, N. M., & Worring, M. (2025). ArtRAG: Retrieval-Augmented Generation with Structured Context for Visual Art Understanding. In MM '25: Proceedings of the 33rd ACM International Conference on Multimedia : October 27-31, 2025, Dublin Ireland (pp. 6700-6709). Association for Computing Machinery. https://doi.org/10.1145/3746027.3755673 [details]
2024
- Wang, S., Shen, J., Efthymiou, A., Rudinac, S., Kackovic, M., Wijnberg, N., & Worring, M. (2024). Prototype-Enhanced Hypergraph Learning for Heterogeneous Information Networks. In S. Rudinac, A. Hanjalic, C. Liem, M. Worring, B. Þ. Jónsson, B. Liu, & Y. Yamakata (Eds.), MultiMedia Modeling: 30th International Conference, MMM 2024, Amsterdam, The Netherlands, January 29–February 2, 2024 : proceedings (Vol. III, pp. 462-476). (Lecture Notes in Computer Science; Vol. 14556). Springer. https://doi.org/10.1007/978-3-031-53311-2_34 [details]
2022
- Kackovic, M., & Wijnberg, N. M. (2022). Artists Finding Galleries: Entrepreneurs Gaining Legitimacy in the Art Market. Entrepreneurship Theory and Practice, 46(4), 1092-1116. https://doi.org/10.1177/1042258720950601 [details]
- Kackovic, M., Hartog, J., van Ophem, H., & Wijnberg, N. (2022). The promise of potential: A study on the effectiveness of jury selection to a prestigious visual arts program. Kyklos, 75(3), 410-435. https://doi.org/10.1111/kykl.12303 [details]
2021
- Efthymiou, A., Rudinac, S., Kackovic, M., Worring, M., & Wijnberg, N. (2021). Graph Neural Networks for Knowledge Enhanced Visual Representation of Paintings. In MM '21: Proceedings of the 29th ACM International Conference on Multimedia : October 20-24, 2021, Virtual Event, China (pp. 3710-3719). Association for Computing Machinery. https://doi.org/10.1145/3474085.3475586 [details]
2020
- Kackovic, M., Bun, M. J. G., Weinberg, C. B., Ebbers, J. J., & Wijnberg, N. M. (2020). Third-party signals and sales to expert-agent buyers: Quality indicators in the contemporary visual arts market. International Journal of Research in Marketing, 37(3), 587-601. https://doi.org/10.1016/j.ijresmar.2019.11.001 [details]
2019
- Hartog, J., & Kackovic, M. (2019). On the Idiosyncrasies of the Labour Market for Visual Artists: Striking features, a formal model, and suggestions for further work. Labour: Review of Labour Economics and Industrial Relations, 33(2), 162-186. https://doi.org/10.1111/labr.12140 [details]
2025
- Kackovic, M., & Deichmann, D. (2025). Trying to Pick the “Best of the Best” Is the Wrong Approach. Web publication or website, Harvard Business Review. https://hbr.org/2025/01/research-trying-to-pick-the-best-of-the-best-is-the-wrong-approach
2017
- Kackovic, M., & Witte, A. (2017). De relatie tussen kunst en werknemer: Bedrijfscollecties als casus. Boekman, 29(113), 24-27. https://www.boekman.nl/producten/boekman/boekman-113-de-waarde-van-cultuur [details]
2023
- Efthymiou, A., Rudinac, S., Kackovic, M., Worring, M. & Wijnberg, N. M. (17-5-2023). Artistic Visual Storytelling. Universiteit van Amsterdam. https://doi.org/10.21942/uva.20050970.v1
- Efthymiou, A., Rudinac, S., Kackovic, M., Worring, M. & Wijnberg, N. M. (2023). Artistic Visual Storytelling. University of Amsterdam / Amsterdam University of Applied Sciences. https://doi.org/10.21942/uva.20050970
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Nevenwerkzaamheden
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Council for Culture (Raad voor Cultuur)
Committee Member Grant Decisions: Visual Arts Post Academic Institutions
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Council for Culture (Raad voor Cultuur)
Efthymiou, A., Kackovic, M., Rudinac, S., Worring, M., & Wijnberg, N. (2026). Being Ranked in a Material World: The visual originality of an artwork and its effects on the artist’s canonization. Organization Studies, 47(1), 93-125.