IDEAS home Printed from https://ideas.repec.org/a/eee/teinso/v77y2024ics0160791x24001386.html
   My bibliography  Save this article

A digital Technology–Cultural resource strategy to drive innovation in cultural industries: A dynamic analysis based on machine learning

Author

Listed:
  • Wang, Mingsheng
  • Huang, Yong

Abstract

With the gradual maturing of digital technology, the innovation strategy of ‘technology + culture’ is becoming increasingly significant for the sustainable development of cultural industries. This paper takes cultural industries in China's 31 provinces and municipalities in 2019 as a research sample and seeks to explore the multi-dimensional and periodical evolution relationship between digital technology, cultural resources, and innovation in cultural industries by drawing on machine learning algorithms and ergodic theory. The following conclusions are obtained. Firstly, the relationship between digital technology and cultural resources and their impact on the innovation of cultural industries is found to be nonlinear, which is a dynamic evolution process. Secondly, the impact of cultural resources on cultural industry innovation is not completely positively correlated, and the impact on technological innovation is more like an inverted U-shaped curve with a rising, peak, and declining period; the impact on content innovation, meanwhile, is similar to the ferment and take-off stages in the S-curve of innovation. And digital technology plays a significant role in promoting innovation, and is, especially in technological innovation, more like an ascending step from quantitative changes to qualitative change. Thirdly, digital technology and cultural resources are found to play different roles in the different stages of innovative development. Cultural resources are the basic factor and digital technology is the incentive factor.

Suggested Citation

  • Wang, Mingsheng & Huang, Yong, 2024. "A digital Technology–Cultural resource strategy to drive innovation in cultural industries: A dynamic analysis based on machine learning," Technology in Society, Elsevier, vol. 77(C).
    • Handle: RePEc:eee:teinso:v:77:y:2024:i:c:s0160791x24001386
    DOI: 10.1016/j.techsoc.2024.102590
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160791X24001386
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techsoc.2024.102590?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Justin O'Connor, 2015. "Intermediaries and Imaginaries in the Cultural and Creative Industries," Regional Studies, Taylor & Francis Journals, vol. 49(3), pages 374-387, March.
    2. Stephanie Lu Wang & Qian Gu & Mary Ann Glinow & Paul Hirsch, 2020. "Cultural industries in international business research: Progress and prospect," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 51(4), pages 665-692, June.
    3. Christian Peukert, 2019. "The next wave of digital technological change and the cultural industries," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 43(2), pages 189-210, June.
    4. Habibi, Tahereh & Ponedelnik, Alena A. & Yashalova, Natalia N. & Ruban, Dmitry A., 2018. "Urban geoheritage complexity: Evidence of a unique natural resource from Shiraz city in Iran," Resources Policy, Elsevier, vol. 59(C), pages 85-94.
    5. Zhao, Yong, 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, Elsevier, vol. 69(C).
    6. Tekic, Zeljko & Füller, Johann, 2023. "Managing innovation in the era of AI," Technology in Society, Elsevier, vol. 73(C).
    7. Rodríguez-Gulías, María Jesús & Fernández-López, Sara & Rodeiro-Pazos, David, 2020. "Innovation in cultural and creative industries firms with an academic origin (CCI-USOs): The role of regional context," Technovation, Elsevier, vol. 92.
    8. Zhou, Jianghua & Li, Jizhen & Jiao, Hao & Qiu, Hang & Liu, Zixu, 2020. "The more funding the better? The moderating role of knowledge stock on the effects of different government-funded research projects on firm innovation in Chinese cultural and creative industries," Technovation, Elsevier, vol. 92.
    9. Jen Snowball & Delon Tarentaal & Jonathan Sapsed, 2021. "Innovation and diversity in the digital cultural and creative industries," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 45(4), pages 705-733, December.
    10. Marra, Giampiero & Wood, Simon N., 2011. "Practical variable selection for generalized additive models," Computational Statistics & Data Analysis, Elsevier, vol. 55(7), pages 2372-2387, July.
    11. Joanna Woronkowicz, 2021. "Arts, Entrepreneurship, and Innovation," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 45(4), pages 519-526, December.
    12. Zhou, Yong & Yang, Qijin & Lu, Shuo, 2023. "Research on the identification and formation mechanism of the main path of digital technology diffusion: Empirical evidence from China," Technology in Society, Elsevier, vol. 75(C).
    13. Gonzalez, Reyes & Llopis, Juan & Gasco, Jose, 2015. "Social networks in cultural industries," Journal of Business Research, Elsevier, vol. 68(4), pages 823-828.
    14. Naveed, Kashif & Watanabe, Chihiro & Neittaanmäki, Pekka, 2017. "Co-evolution between streaming and live music leads a way to the sustainable growth of music industry – Lessons from the US experiences," Technology in Society, Elsevier, vol. 50(C), pages 1-19.
    15. Pappas, Ilias O. & Woodside, Arch G., 2021. "Fuzzy-set Qualitative Comparative Analysis (fsQCA): Guidelines for research practice in Information Systems and marketing," International Journal of Information Management, Elsevier, vol. 58(C).
    16. McMullen, Jeffery S. & Ding, Amy Wenxuan & Li, Shibo, 2021. "From cultural entrepreneurship to economic entrepreneurship in cultural industries: The role of digital serialization," Journal of Business Venturing, Elsevier, vol. 36(6).
    17. Joyce Siqueira & Dalton Lopes Martins, 2022. "Workflow models for aggregating cultural heritage data on the web: A systematic literature review," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(2), pages 204-224, February.
    18. Luz Maria Ortega-Villa & Judith Ley-Garcia, 2018. "Analysis of Cultural Indicators: A Comparison of Their Conceptual Basis and Dimensions," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 137(2), pages 413-439, June.
    19. Gambella, Claudio & Ghaddar, Bissan & Naoum-Sawaya, Joe, 2021. "Optimization problems for machine learning: A survey," European Journal of Operational Research, Elsevier, vol. 290(3), pages 807-828.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Paulin Gohoungodji & Nabil Amara, 2023. "Art of innovating in the arts: definitions, determinants, and mode of innovation in creative industries, a systematic review," Review of Managerial Science, Springer, vol. 17(8), pages 2685-2725, November.
    2. Homero Rodríguez-Insuasti & Néstor Montalván-Burbano & Otto Suárez-Rodríguez & Marcela Yonfá-Medranda & Katherine Parrales-Guerrero, 2022. "Creative Economy: A Worldwide Research in Business, Management and Accounting," Sustainability, MDPI, vol. 14(23), pages 1-27, November.
    3. Salvatore Di Novo & Giorgio Fazio & Jonathan Sapsed & Josh Siepel, 2022. "Starving the golden goose? Access to finance for innovators in the creative industries," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 46(2), pages 345-386, June.
    4. Yuan-Chieh Chang & Liang Feng, 2024. "Micro Foundation of Cultural and Creative Clusters: The Knowledge-based View," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 7723-7743, June.
    5. Zak-Szatkowska, Malgorzata & Bogdan, Malgorzata, 2011. "Modified versions of the Bayesian Information Criterion for sparse Generalized Linear Models," Computational Statistics & Data Analysis, Elsevier, vol. 55(11), pages 2908-2924, November.
    6. María-Angeles Rastrollo-Horrillo & Lourdes Navarrete, 2020. "Evaluation Model of the Roles of Festivals in the Internationalization of Performing Arts: Evidence from Flamenco Festivals," Sustainability, MDPI, vol. 12(24), pages 1-21, December.
    7. Li, Jiachen & Jiang, Meiru & Li, Ge, 2024. "Does the new energy vehicles subsidy policy decrease the carbon emissions of the urban transport industry? Evidence from Chinese cities in Yangtze River Delta," Energy, Elsevier, vol. 298(C).
    8. Innan Sasaki & Niina Nummela & Davide Ravasi, 2021. "Managing cultural specificity and cultural embeddedness when internationalizing: Cultural strategies of Japanese craft firms," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 52(2), pages 245-281, March.
    9. Chaklader, Barnali & Gupta, Brij B. & Panigrahi, Prabin Kumar, 2023. "Analyzing the progress of FINTECH-companies and their integration with new technologies for innovation and entrepreneurship," Journal of Business Research, Elsevier, vol. 161(C).
    10. Xue, Biao & Lin, Yan & Ren, Fangxiao & Li, Runfo, 2024. "Business environment ecosystem and manufacturing upgrading: A configurational approach," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 1225-1237.
    11. Calvo, Nuria & Fernández-López, Sara & Rodríguez-Gulías, María Jesús & Rodeiro-Pazos, David, 2022. "The effect of population size and technological collaboration on firms' innovation," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    12. Brewis, Claire & Dibb, Sally & Meadows, Maureen, 2023. "Leveraging big data for strategic marketing: A dynamic capabilities model for incumbent firms," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    13. Ying, Ying & Wang, Shixiang & Liu, Yang, 2022. "Make bricks without straw: Eco-innovation for resource-constrained firms in emerging markets," Technovation, Elsevier, vol. 114(C).
    14. Borozan, Dj, 2022. "Detecting a structure in the European energy transition policy instrument mix: What mix successfully drives the energy transition?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).
    15. Joseph Kim & Seung-Ho Kwon, 2022. "K-Pop’s Global Success and Its Innovative Production System," Sustainability, MDPI, vol. 14(17), pages 1-17, September.
    16. Dan Yuan & Zhe Song & Jiejie Du & Jing Li, 2024. "Analysis of the Impact of Personal Psychological Knowledge Ownership on Knowledge Sharing Among Employees in Chinese Digital Creative Enterprises: a Moderated Mediating Variable," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 3740-3766, March.
    17. Miguel Angel Ortíz-Barrios & Dayana Milena Coba-Blanco & Juan-José Alfaro-Saíz & Daniela Stand-González, 2021. "Process Improvement Approaches for Increasing the Response of Emergency Departments against the COVID-19 Pandemic: A Systematic Review," IJERPH, MDPI, vol. 18(16), pages 1-31, August.
    18. Eric Yaw Naminse & Jincai Zhuang, 2018. "Does farmer entrepreneurship alleviate rural poverty in China? Evidence from Guangxi Province," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-18, March.
    19. Finlay, Jessica & Esposito, Michael & Langa, Kenneth M. & Judd, Suzanne & Clarke, Philippa, 2022. "Cognability: An Ecological Theory of neighborhoods and cognitive aging," Social Science & Medicine, Elsevier, vol. 309(C).
    20. Huang, Duen-Huang & Chueh, Hao-En, 2022. "Behavioral intention to continuously use learning apps: A comparative study from Taiwan universities," Technological Forecasting and Social Change, Elsevier, vol. 177(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:teinso:v:77:y:2024:i:c:s0160791x24001386. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/technology-in-society .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.