Revolutionizing the Digital Creative Industries: The Role of Artificial Intelligence in Integration, Development, and Innovation

Main Article Content

Shah Mehmood Wagan
https://orcid.org/0009-0003-0449-2655
Sidra Sidra
https://orcid.org/0009-0003-1689-3296

Abstract

Purpose - Artificial intelligence is profoundly transforming the digital creative industry, becoming a key force in industrial upgrading through technology integration, innovation drive and productivity improvement.
Methods- This study uses a variety of methods, including literature review, questionnaire survey, in-depth interview and data analysis, to systematically examine the application effect of AI in the digital creative industry. The structural equation model is used to verify the hypothesized relationship, and the role of AI in promoting industrial integration, development results and innovation catalysis effect are comprehensively analyzed.
Research results- The research that AI importantly promotes technological integration, development and innovation inside the digital creative industry, and improves the general overall performance of the industry. The path coefficient is incredibly substantial, and the model fit is good, which verifies the effective position of AI in industrial integration and development. The position of AI not only improves the competitiveness of the industry, but also provides robust support for the personalization and excessive quality of creative products.
Originality- This paper demonstrates remarkable originality in theoretical framework construction, empirical data analysis, and exploration of practical challenges and this paper deeply analyzes the multiple mechanisms of AI in the digital creative industry, providing new ideas and specific quantitative evidence for research in related fields.
Implications - Practitioners need to actively accept AI era, optimize creative workflows, and enhance production efficiency and constantly enhance their digital talents and cross-area information integration capabilities. Policymakers should formulate focused support policies to promote the vast application and deep integration of AI technologies inside the creative industries.

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Article Details

Wagan, S. M., & Sidra, S. (2024). Revolutionizing the Digital Creative Industries: The Role of Artificial Intelligence in Integration, Development, and Innovation. SEISENSE Journal of Management, 7(1), 135-152. https://doi.org/10.33215/rvcwy166
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Copyright (c) 2024 Shah Mehmood Wagan, Sidra Sidra

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This work is licensed under a Creative Commons Attribution 4.0 International License.

The data that support the findings of this study are available from the corresponding author, upon reasonable request.

Abadir, P., Oh, E., Chellappa, R., Choudhry, N., Demiris, G., Ganesan, D., Karlawish, J., Marlin, B., Li, R. M., Dehak, N., Arbaje, A., Unberath, M., Cudjoe, T., Chute, C., Moore, J. H., Phan, P., Samus, Q., Schoenborn, N. L., Battle, A., & Walston, J. D. (2024). Artificial Intelligence and Technology Collaboratories: Innovating aging research and Alzheimer's care. Alzheimers & Dementia, 20(4), 3074-3079. https://doi.org/10.1002/alz.13710 DOI: https://doi.org/10.1002/alz.13710

Abulibdeh, A., Zaidan, E., & Abulibdeh, R. (2024). Navigating the confluence of artificial intelligence and education for sustainable development in the era of industry 4.0: Challenges, opportunities, and ethical dimensions. Journal of Cleaner Production, 437, Article 140527. https://doi.org/10.1016/j.jclepro.2023.140527 DOI: https://doi.org/10.1016/j.jclepro.2023.140527

Arias-Perez, J., Chacon-Henao, J., & Lopez-Zapata, E. (2023). Unlocking agility: Trapped in the antagonism between co-innovation in digital platforms, business analytics capability and external pressure for AI adoption?. Business Process Management Journal, 29(6), 1791-1809. https://doi.org/10.1108/bpmj-10-2022-0484 DOI: https://doi.org/10.1108/BPMJ-10-2022-0484

Benchekroun, S. (2024). The robot uprising is here: Is scholarly publishing ready? Learned Publishing, 37(1), 66-68. https://doi.org/10.1002/leap.1595 DOI: https://doi.org/10.1002/leap.1595

Brueck, C. (2024). The role of foreign MNEs in China's twin transition: a study on the organization of green and digital innovation processes. Competitiveness Review, 34(7), 44-60. https://doi.org/10.1108/cr-08-2023-0207 DOI: https://doi.org/10.1108/CR-08-2023-0207

Buhalis, D., Efthymiou, L., Uzunboylu, N., & Thrassou, A. (2024). Charting the progress of technology adoption in tourism and hospitality in the era of industry 4.0. Euromed Journal of Business, 19(1), 1-20. https://doi.org/10.1108/emjb-11-2023-0310 DOI: https://doi.org/10.1108/EMJB-11-2023-0310

Chen, D., Xu, H., & Zhou, G. (2024). Has Artificial Intelligence Promoted Manufacturing Servitization: Evidence from Chinese Enterprises. Sustainability, 16(6), Article 2526. https://doi.org/10.3390/su16062526 DOI: https://doi.org/10.3390/su16062526

Chen, R., Liao, C., & Ren, C. (2024). Navigating China's path to a low-carbon economy: A comprehensive review of regional and provincial carbon emissions policies. Urban Climate, 55, Article 101959. https://doi.org/10.1016/j.uclim.2024.101959 DOI: https://doi.org/10.1016/j.uclim.2024.101959

Chen, Y., & Ding, C. (2024). Multidimensional evolutionary analysis of China's BIM technology policy based on quantitative mapping. Architectural Engineering and Design Management, 20(3), 578-595. https://doi.org/10.1080/17452007.2023.2291585 DOI: https://doi.org/10.1080/17452007.2023.2291585

Chibuike, M. C., Grobbelaar, S. S., & Botha, A. (2024). Overcoming Challenges for Improved Patient-Centric Care: A Scoping Review of Platform Ecosystems in Healthcare. Ieee Access, 12, 14298-14313. https://doi.org/10.1109/access.2024.3356860 DOI: https://doi.org/10.1109/ACCESS.2024.3356860

Chinnathai, M. K., & Alkan, B. (2023). A digital life-cycle management framework for sustainable smart manufacturing in energy intensive industries. Journal of Cleaner Production, 419, Article 138259. https://doi.org/10.1016/j.jclepro.2023.138259 DOI: https://doi.org/10.1016/j.jclepro.2023.138259

Chudinova, K. O. (2023). US-Japan economic cooperation under the biden administration. Mirovaya Ekonomika I Mezhdunarodnye Otnosheniya, 67(12), 28-34. https://doi.org/10.20542/0131-2227-2023-67-12-28-34 DOI: https://doi.org/10.20542/0131-2227-2023-67-12-28-34

Dimitrakopoulos, G., Varga, P., Gutt, T., Schneider, G., Ehm, H., Hoess, A., Tauber, M., Karathanasopoulou, K., Lackner, A., & Delsing, J. (2024). Industry 5.0: Research Areas and Challenges With Artificial Intelligence and Human Acceptance. Ieee Industrial Electronics Magazine. https://doi.org/10.1109/mie.2024.3387068 DOI: https://doi.org/10.1109/MIE.2024.3387068

Frazier-Bowers, S. A., Allareddy, V., Venugopalan, S. R., Lamani, E., Vora, S. R., & Kapila, S. (2023). Preface to the 9th Biennial COAST Conference: Harnessing Technology and Biomedicine for Personalized Orthodontics. Orthodontics & Craniofacial Research, 26, 4-7. https://doi.org/10.1111/ocr.12681 DOI: https://doi.org/10.1111/ocr.12681

Fu, S., Ge, Y., Hao, Y., Peng, J., & Tian, J. (2024). Energy supply chain efficiency in the digital era: Evidence from China's listed companies. Energy Economics, 134, Article 107597. https://doi.org/10.1016/j.eneco.2024.107597 DOI: https://doi.org/10.1016/j.eneco.2024.107597

Fukawa, N., & Rindfleisch, A. (2023). Enhancing innovation via the digital twin [Article]. Journal of Product Innovation Management, 40(4), 391-406. https://doi.org/10.1111/jpim.12655 DOI: https://doi.org/10.1111/jpim.12655

He, Y., Song, J., Ouyang, W., & Li, Q. (2024). Formation Mechanism and Implementation Path of a Digital Agriculture Innovation Ecosystem. Tehnicki Vjesnik-Technical Gazette, 31(2), 402-411. https://doi.org/10.17559/tv-20231107001080 DOI: https://doi.org/10.17559/TV-20231107001080

Horobet, A., Tudor, C. D., Dinca, Z., Dumitrescu, D. G., & Stoica, E. A. (2024). Artificial intelligence and smart manufacturing: an analysis of strategic and performance narrative. Amfiteatru Economic, 26(66). https://doi.org/10.24818/ea/2024/66/440 DOI: https://doi.org/10.24818/EA/2024/66/440

Huang, S., & Chen, L. (2023). The Impact of the Digital Economy on the Urban Total-Factor Energy Efficiency: Evidence from 275 Cities in China. Sustainability, 15(4), Article 3195. https://doi.org/10.3390/su15043195 DOI: https://doi.org/10.3390/su15043195

Huang, Z., Ge, S., He, Y., Wang, D., & Zhang, S. (2024). Research on the Intelligent System Architecture and Control Strategy of Mining Robot Crowds. Energies, 17(8), Article 1834. https://doi.org/10.3390/en17081834 DOI: https://doi.org/10.3390/en17081834

Jin, Y., Cao, X., & Ma, H. (2024). Evolution and characteristics of Crossover Innovation Network of Emerging Technologies: a study based on patent data of the self-driving car technology. Transinformacao, 36, Article e247316. https://doi.org/10.1590/2318-0889202436e247316

Lin, J., & Chen, X. (2023). Application of digital design technology in the design of intelligent agricultural machinery and equipment. Applied Mathematics and Nonlinear Sciences. https://doi.org/10.2478/amns.2023.1.00215 DOI: https://doi.org/10.2478/amns.2023.1.00215

Liu, Z., Liu, Y., & Osmani, M. (2024). Integration of Smart City Technology and Business Model Innovation. Sustainability, 16(12), Article 5102. https://doi.org/10.3390/su16125102 DOI: https://doi.org/10.3390/su16125102

Ludwig-Ohm, S., Hildner, P., Isaak, M., Dirksmeyer, W., & Schattenberg, J. (2023). The contribution of Horticulture 4.0 innovations to more sustainable horticulture. Procedia Computer Science, 465-477. https://doi.org/10.1016/j.procs.2022.12.242 DOI: https://doi.org/10.1016/j.procs.2022.12.242

Lytvyn, O., Kudin, V., Onyshchenko, A., Nikolaiev, M., & Chaplynska, N. (2024). Integration of digital means in the financial sphere: the potential of cloud computing, blockchain, big data and AI. Financial and Credit Activity-Problems of Theory and Practice, 1(54), 127-145. https://doi.org/10.55643/fcaptp.1.54.2024.4257 DOI: https://doi.org/10.55643/fcaptp.1.54.2024.4257

Mu'azzam, K., da Silva, F. V. S., Murtagh, J., & Gallagher, M. J. S. (2024). A roadmap for model-based bioprocess development. Biotechnology Advances, 73, Article 108378. https://doi.org/10.1016/j.biotechadv.2024.108378 DOI: https://doi.org/10.1016/j.biotechadv.2024.108378

Nazarenko, A. A., Zamiri, M., Sarraipa, J., Figueiras, P., Jardim-Goncalves, R., & Moalla, N. (2024). Integration of AI Use Cases in Training to Support Industry 4.0. Journal of Advances in Information Technology, 15(3), 397-406. https://doi.org/10.12720/jait.15.3.397-406 DOI: https://doi.org/10.12720/jait.15.3.397-406