MANAGEMENT OF DIGITAL ART STARTUPS IN THE AI ERA

Authors

  • Sonia Pandey Greater Noida, Uttar Pradesh 201306, India
  • Dr Prabha Shreeraj Nair Professor, Department of Information Technology, Noida Institute of Engineering and Technology, Greater Noida, Uttar Pradesh, India
  • Anchal Gupta Centre of Research Impact and Outcome, Chitkara University, Rajpura- 140417, Punjab, India
  • Dr. Charu wadhwa Associate Professor, Department of Management, Arka Jain University, Jamshedpur, Jharkhand, India
  • Hitesh Kalra Chitkara Centre for Research and Development, Chitkara University, Himachal Pradesh, Solan, 174103, India
  • Ravina Gupta Assistant Professor, School of Sciences, Noida International University, 203201, India
  • Vijaya Ravsaheb Khemnar Department of Engineering, Science and Humanities Vishwakarma Institute of Technology, Pune, Maharashtra, 411037, India

DOI:

https://doi.org/10.29121/shodhkosh.v6.i3s.2025.6775

Keywords:

Digital Art Startups, Creative Entrepreneurship, AI Governance, Hybrid Intelligence, Predictive Analytics, Blockchain Provenance, Cultural Technology

Abstract [English]

The recent aggressive adoption of the creative economy by Artificial Intelligence (AI) has transformed how digital art startups are run, funded, and even their morals. The article provides a detailed pattern of how AI-driven creative businesses should be governed and concentrates on the interplay of the technological factor, creativity as an art, and responsible management. The study by conceptualizing, empirically investigating and case based evidence identifies strategic aspects that involve AI augmented creativity, hybrid leadership, data-driven infrastructure, and sustainable financial modelling as the key elements to establish competitiveness in digital art industry. These findings show that the startups that apply the human-AI cooperation are more scalable, effective in the dimension of innovation and attract the audience in comparison with the traditional ones. However, these benefits have been pegged on the availability of strong governance structures to address algorithmic bias, intellectual property and cultural sensitivities. The article proposes a single management framework, which would align the creative procedure to the anticipatory analytics, blockchain openness, and moral AI management. That combination of theoretical and empirical knowledge enables the research to contribute to the existing discourse of the sphere of digital entrepreneurship and to suggest the practical opportunities of how the innovative businesses may evolve in the AI age in a responsible manner.

References

Art Collection and Now Art (2024). When AI Starts Creating … Discussing the Application and Impact of Big Data in the Field of Art.

Cheng, M. (2022). The Creativity of Artificial Intelligence in Art. Proceedings, 81, Article 110. https://doi.org/10.3390/proceedings2022081110 DOI: https://doi.org/10.3390/proceedings2022081110

Grba, D. (2022). Deep Else: A Critical Framework for AI art. Digital, 2, 1–32. https://doi.org/10.3390/digital2010001 DOI: https://doi.org/10.3390/digital2010001

Lee, L.-H., Lin, Z., Hu, R., Gong, Z., Kumar, A., Li, T., Li, S., and Hui, P. (2021). When Creators Meet the Metaverse: A Survey on Computational Arts (arXiv:2111.13486). arXiv.

Li, L., Qiao, X., Lu, Q., Ren, P., and Lin, R. (2020). Rendering Optimization for Mobile Web 3D Based on Animation Data Separation and on-Demand Loading. IEEE Access, 8, 88474–88486. https://doi.org/10.1109/ACCESS.2020.2993366 DOI: https://doi.org/10.1109/ACCESS.2020.2993613

Mourtzis, D., Panopoulos, A. J. N., Wang, B., and Wang, L. (2022). Human-Centric Platforms for Personalized Value Creation in Metaverse. Journal of Manufacturing Systems, 65, 653–659. https://doi.org/10.1016/j.jmsy.2022.05.006 DOI: https://doi.org/10.1016/j.jmsy.2022.11.004

Nikolakopoulou, V., Printezis, P., Maniatis, V., Kontizas, D., Vosinakis, S., Chatzigrigoriou, P., and Koutsabasis, P. (2022). Conveying Intangible Cultural Heritage in Museums with Interactive Storytelling and Projection Mapping: The Case of the Mastic Villages. Heritage, 5, 1024–1049. https://doi.org/10.3390/heritage5030054 DOI: https://doi.org/10.3390/heritage5020056

Prins, M., Gunkel, S., Stokking, H., and Niamut, O. (2018). TogetherVR: A Framework for Photorealistic Shared Media Experiences in 360-degree VR. SMPTE Motion Imaging Journal, 127, 39–44. https://doi.org/10.5594/JMI.2018.2871875 DOI: https://doi.org/10.5594/JMI.2018.2840618

Qiao, P., Ren, P., Dustdar, S., Liu, L., Ma, H., and Chen, J. (2019). Web AR: A Promising Future for Mobile Augmented Reality—State of the Art, Challenges, and Insights. Proceedings of the IEEE, 107(4), 651–666. https://doi.org/10.1109/JPROC.2019.2895105 DOI: https://doi.org/10.1109/JPROC.2019.2895105

Saaty, T. L. (1972). An Eigenvalue Allocation Model for Prioritization and Planning. Energy Management and Policy Center, University of Pennsylvania.

Santisteban, J., Inche, J., and Mauricio, D. (2021). Critical Success Factors Throughout the Life Cycle of Information Technology Start-Ups. Entrepreneurship and Sustainability Issues, 8, 446–466. https://doi.org/10.9770/jesi.2021.8.1(30) DOI: https://doi.org/10.9770/jesi.2021.8.4(27)

Schwertner, K. (2017). Digital Transformation of Business. Trakia Journal of Sciences, 15, 388–393. DOI: https://doi.org/10.15547/tjs.2017.s.01.065

Scott, W. R. (2013). Institutions and Organizations: Ideas, Interests, and Identities (4th ed.). Sage Publications.

Shen, J., Zhou, X., Wu, W., Wang, L., and Chen, Z. (2023). Worldwide Overview and Country Differences in Metaverse Research: A Bibliometric Analysis. Sustainability, 15, 3541. https://doi.org/10.3390/su15043541 DOI: https://doi.org/10.3390/su15043541

Villamarín, and Menéndez, J. M. (2021). Haptic Glove TV Device for People with Visual Impairment. Sensors, 21, 2325. https://doi.org/10.3390/s21072325 DOI: https://doi.org/10.3390/s21072325

World Economic Forum. (2020). The future of jobs report 2020. Centre for the New Economy and Society.

Wu, S.-C. (2022). A Case Study of the Application of 5g Technology in Museum Artifact Tours: Experimental Services Using AI and Ar Smart Glasses. Museum Quarterly, 36, 111–127.

Yan, Y., and Mercado, C. A. (2023). Analytic Hierarchy Process-Based Selection of Leaders of Start-Up Enterprises. Indonesian Journal of Economics and Management, 3, 344–353. DOI: https://doi.org/10.35313/ijem.v3i2.4707

Downloads

Published

2025-12-20

How to Cite

Pandey, S., Nair, P. S. ., Gupta, A., wadhwa, C., Kalra, H., Gupta, R., & Khemnar, V. R. (2025). MANAGEMENT OF DIGITAL ART STARTUPS IN THE AI ERA. ShodhKosh: Journal of Visual and Performing Arts, 6(3s), 367–376. https://doi.org/10.29121/shodhkosh.v6.i3s.2025.6775