Effects of Network Externality on Startup Growth in the Creative Industries
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Creative Industries, Digital Platforms, Market Expansion
Abstract
The growth of startups, particularly in the creative industries, has been significantly influenced by various external factors. Among these, network externalities play a crucial role in shaping startup development. Network externalities refer to the phenomenon where the value of a product or service increases as more people use it, creating a positive feedback loop. Understanding how network externalities impact startup growth is essential for entrepreneurs, investors, and policymakers. This study investigates the effects of network externality on the growth of startups in the creative industries, focusing on how these externalities contribute to market expansion and innovation. The research aims to explore the relationship between network externalities and the scalability of creative startups. It examines how startups can leverage external networks, both digital and social, to enhance their visibility, collaboration opportunities, and customer base. The study adopts a mixed-methods approach, combining quantitative surveys of creative entrepreneurs with qualitative case studies of successful startups. Data was collected from 150 creative startups across various sectors, including digital media, design, and entertainment. The findings suggest that network externalities significantly accelerate startup growth, especially in digital platforms where user engagement creates momentum. Startups that effectively harness network externalities experience faster customer acquisition, higher brand recognition, and increased opportunities for collaboration.
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References
Abu-Shanab, E. (2024). The Influence of Network Externality and Fear of Missing out on the Continuous Use of Social Networks: A Cross-Country Comparison. International Journal of Human-Computer Interaction, 40(15), 4058–4070. https://doi.org/10.1080/10447318.2023.2208990
Alacovska, A. (2021a). The work of hope: Spiritualizing, hustling and waiting in the creative industries in Ghana. Environment and Planning A, 53(4), 619–637. https://doi.org/10.1177/0308518X20962810
Alacovska, A. (2021b). ‘Thriving instead of surviving’: A capability approach to geographical career transitions in the creative industries. Human Relations, 74(5), 751–780. https://doi.org/10.1177/0018726720956689
Ali, U. (2021). Review of urban building energy modeling (UBEM) approaches, methods and tools using qualitative and quantitative analysis. Energy and Buildings, 246(Query date: 2024-12-01 09:57:11). https://doi.org/10.1016/j.enbuild.2021.111073
Ambrosino, D. (2021). Impact of externalities on the design and management of multimodal logistic networks. Sustainability (Switzerland), 13(9). https://doi.org/10.3390/su13095080
Arcos-Pumarola, J. (2023). The use of intangible heritage and creative industries as a tourism asset in the UNESCO creative cities network. Heliyon, 9(1). https://doi.org/10.1016/j.heliyon.2023.e13106
Barker, T. H. (2022). Revising the JBI quantitative critical appraisal tools to improve their applicability: An overview of methods and the development process. JBI Evidence Synthesis, 21(3), 478–493. https://doi.org/10.11124/JBIES-22-00125
Berg, J. M. (2022). One-Hit Wonders versus Hit Makers: Sustaining Success in Creative Industries. Administrative Science Quarterly, 67(3), 630–673. https://doi.org/10.1177/00018392221083650
Cheng, Y. M. (2021). Will robo-advisors continue? Roles of task-technology fit, network externalities, gratifications and flow experience in facilitating continuance intention. Kybernetes, 50(6), 1751–1783. https://doi.org/10.1108/K-03-2020-0185
Cruz, S. C. S. (2021). Spatial analysis of new firm formation in creative industries before and during the world economic crisis. Annals of Regional Science, 67(2), 385–413. https://doi.org/10.1007/s00168-021-01052-3
Ding, L. (2022). Spatial heterogeneity of urban network externalities in the yangtze river delta. Dili Yanjiu, 41(9), 2433–2447. https://doi.org/10.11821/dlyj020220172
Gustafsson, C. (2021). The innovative response of cultural and creative industries to major european societal challenges: Toward a knowledge and competence base. Sustainability (Switzerland), 13(23). https://doi.org/10.3390/su132313267
He, W. (2023). Switching cost, network externality and platform competition. International Review of Economics and Finance, 84(Query date: 2024-12-08 04:19:44), 428–443. https://doi.org/10.1016/j.iref.2022.11.037
Jelin?i?, D. A. (2021). Indicators for cultural and creative industries’ impact assessment on cultural heritage and tourism. Sustainability (Switzerland), 13(14). https://doi.org/10.3390/su13147732
Jian, C. (2020). Quantitative PCR provides a simple and accessible method for quantitative microbiota profiling. PLoS ONE, 15(1). https://doi.org/10.1371/journal.pone.0227285
Khlystova, O. (2022). The impact of the COVID-19 pandemic on the creative industries: A literature review and future research agenda. Journal of Business Research, 139(Query date: 2024-12-08 04:19:05), 1192–1210. https://doi.org/10.1016/j.jbusres.2021.09.062
Lee, H. K. (2022). Rethinking creativity: Creative industries, AI and everyday creativity. Media, Culture and Society, 44(3), 601–612. https://doi.org/10.1177/01634437221077009
Lee, Y. (2022). Sustainable Development Assessment of Cultural and Creative Industries in Casino Cities: A Case Study of Macao. Sustainability (Switzerland), 14(8). https://doi.org/10.3390/su14084749
Li, Z. (2020). From community-acquired pneumonia to COVID-19: A deep learning–based method for quantitative analysis of COVID-19 on thick-section CT scans. European Radiology, 30(12), 6828–6837. https://doi.org/10.1007/s00330-020-07042-x
Liu, Z. (2021). The impact of government policy on macro dynamic innovation of the creative industries: Studies of the uk’s and china’s animation sectors. Journal of Open Innovation: Technology, Market, and Complexity, 7(3). https://doi.org/10.3390/joitmc7030168
Loots, E. (2021). The entrepreneurial ecosystem of cultural and creative industries in Porto: A sub-ecosystem approach. Growth and Change, 52(2), 641–662. https://doi.org/10.1111/grow.12434
Loots, E. (2022). New forms of finance and funding in the cultural and creative industries. Introduction to the special issue. Journal of Cultural Economics, 46(2), 205–230. https://doi.org/10.1007/s10824-022-09450-x
Lyu, T. (2024). Understanding people’s intention to use facial recognition services: The roles of network externality and privacy cynicism. Information Technology and People, 37(3), 1025–1051. https://doi.org/10.1108/ITP-10-2021-0817
Maqsoom, A. (2022). Nexus between Leader–Member Exchange, Paternalistic Leadership, and Creative Behavior in the Construction Industry. Sustainability (Switzerland), 14(12). https://doi.org/10.3390/su14127211
Moheimani, R. (2021). Thermoplastic polyurethane flexible capacitive proximity sensor reinforced by CNTs for applications in the creative industries. Scientific Reports, 11(1). https://doi.org/10.1038/s41598-020-80071-0
Ning, Y. (2021). Shared parking acceptance under perceived network externality and risks: Theory and evidence. Transportation Research Part A: Policy and Practice, 150(Query date: 2024-12-08 04:19:44), 1–15. https://doi.org/10.1016/j.tra.2021.05.009
Pang, H. (2023). Unpacking Detrimental Effects of Network Externalities on Privacy Invasion, Communication Overload and Mobile App Discontinued Intentions: A Cognition-Affect-Conation Perspective. Behavioral Sciences, 13(1). https://doi.org/10.3390/bs13010047
Patrickson, B. (2021). What do blockchain technologies imply for digital creative industries? Creativity and Innovation Management, 30(3), 585–595. https://doi.org/10.1111/caim.12456
Snowball, J. (2022). Innovation and diversity in the digital cultural and creative industries. Arts, Entrepreneurship, and Innovation, Query date: 2024-12-08 04:19:05, 187–215. https://doi.org/10.1007/978-3-031-18195-5_8
Springel, K. (2021). Network Externality and Subsidy Structure in Two-Sided Markets: Evidence from Electric Vehicle Incentives†. American Economic Journal: Economic Policy, 13(4), 393–432. https://doi.org/10.1257/pol.20190131
Tang, C. (2021). Understanding the impact of High Speed Railway on urban innovation performance from the perspective of agglomeration externalities and network externalities. Technology in Society, 67(Query date: 2024-12-08 04:19:44). https://doi.org/10.1016/j.techsoc.2021.101760
Tian, M. (2023). High-speed rail network and urban agglomeration economies: Research from the perspective of urban network externalities. Socio-Economic Planning Sciences, 85(Query date: 2024-12-08 04:19:44). https://doi.org/10.1016/j.seps.2022.101442
Vosough, S. (2022). Pricing vehicle emissions and congestion externalities using a dynamic traffic network simulator. Transportation Research Part A: Policy and Practice, 161(Query date: 2024-12-08 04:19:44), 1–24. https://doi.org/10.1016/j.tra.2022.04.017
Wang, H. (2022). The impact of network externalities and altruistic preferences on carbon emission reduction of low carbon supply chain. Environmental Science and Pollution Research, 29(44), 66259–66276. https://doi.org/10.1007/s11356-022-20459-9
Wohl, H. (2022). Innovation and creativity in creative industries. Sociology Compass, 16(2). https://doi.org/10.1111/soc4.12956
Wu, Y. C. (2021). Integrated approach for exploring critical elements that affect sustainable development of cultural and creative industries. Journal of Business Economics and Management, 22(3), 596–615. https://doi.org/10.3846/jbem.2021.14261
Yang, J. (2023). Manufacturer encroachment with a new product under network externalities. International Journal of Production Economics, 263(Query date: 2024-12-08 04:19:44). https://doi.org/10.1016/j.ijpe.2023.108954
Yilmaz, M. A. (2020). Simultaneous quantitative screening of 53 phytochemicals in 33 species of medicinal and aromatic plants: A detailed, robust and comprehensive LC–MS/MS method validation. Industrial Crops and Products, 149(Query date: 2024-12-01 09:57:11). https://doi.org/10.1016/j.indcrop.2020.112347
Zhao, Y. (2022). Teaching traditional Yao dance in the digital environment: Forms of managing subcultural forms of cultural capital in the practice of local creative industries. Technology in Society, 69(Query date: 2024-12-08 04:19:05). https://doi.org/10.1016/j.techsoc.2022.101943
Zhou, H. (2022). The evolution of china’s city network and its environmental effects from the perspective of externalities. Dili Yanjiu, 41(1), 268–285. https://doi.org/10.11821/dlyj020210573
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Copyright (c) 2025 Rizky Wardhani, Vanya Zelia, Hasan Hasan, Nailah Putri Andini
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