Mechanism Underlying the Formation of Virtual Agglomeration of Creative Industries: Theoretical Analysis and Empirical Research
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- Ester Alba Pagán & María del Mar Gaitán Salvatella & María Dolores Pitarch & Arabella León Muñoz & María del Mar Moya Toledo & José Marin Ruiz & Maurizio Vitella & Georgia Lo Cicero & Franz Rottenstei, 2020. "From Silk to Digital Technologies: A Gateway to New Opportunities for Creative Industries, Traditional Crafts and Designers. The SILKNOW Case," Sustainability, MDPI, vol. 12(19), pages 1-37, October.
- Xuefang Xie & Xuemei Xie & Carla Martínez-Climent, 2019. "Identifying the factors determining the entrepreneurial ecosystem of internet cultural industries in emerging economies," International Entrepreneurship and Management Journal, Springer, vol. 15(2), pages 503-522, June.
- Sarstedt, Marko & Ringle, Christian M. & Smith, Donna & Reams, Russell & Hair, Joseph F., 2014. "Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers," Journal of Family Business Strategy, Elsevier, vol. 5(1), pages 105-115.
- Wen-Jie Yan & Shang-Chia Chiou, 2020. "Dimensions of Customer Value for the Development of Digital Customization in the Clothing Industry," Sustainability, MDPI, vol. 12(11), pages 1-27, June.
- Peter Martey Addo & Dominique Guégan & Bertrand Hassani, 2018. "Credit Risk Analysis using Machine and Deep learning models," Documents de travail du Centre d'Economie de la Sorbonne 18003, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
- Dominique Guegan & Peter Martey Addo & Bertrand Hassani, 2018. "Credit Risk Analysis Using Machine and Deep Learning Models," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01835164, HAL.
- Satish Nambisan, 2017. "Digital Entrepreneurship: Toward a Digital Technology Perspective of Entrepreneurship," Entrepreneurship Theory and Practice, , vol. 41(6), pages 1029-1055, November.
- Dominique Guegan, 2018. "Credit Risk Analysis Using machine and Deep Learning Models," Post-Print halshs-01889154, HAL.
- Peter Martey Addo & Dominique Guegan & Bertrand Hassani, 2018. "Credit Risk Analysis using Machine and Deep learning models," Working Papers 2018:08, Department of Economics, University of Venice "Ca' Foscari".
- Wanyue Wei & Zheng He & Lez Rayman-Bacchus & GuangMing Xiang, 2019. "Do Industrial Clusters Still Matter to Trust-Building in the Internet Era? A Network Embeddedness Perspective," SAGE Open, , vol. 9(3), pages 21582440198, August.
- Peter Martey Addo & Dominique Guegan & Bertrand Hassani, 2018. "Credit Risk Analysis using Machine and Deep Learning models," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01719983, HAL.
- 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.
- Jimmyn Parc & Shin Dong Kim, 2020. "The Digital Transformation of the Korean Music Industry and the Global Emergence of K-Pop," Sustainability, MDPI, vol. 12(18), pages 1-16, September.
- Hsin-Pin Fu & Hsiaoping Yeh & Rong-Ling Ma, 2018. "A study of the CSFs of an e-cluster platform adoption for microenterprises," Information Technology and Management, Springer, vol. 19(4), pages 231-243, December.
- Heidi Wiig Aslesen & Roman Martin & Stefania Sardo, 2019.
"The virtual is reality! On physical and virtual space in software firms’ knowledge formation,"
Entrepreneurship & Regional Development, Taylor & Francis Journals, vol. 31(9-10), pages 669-682, October.
- Aslesen, Heidi Wiig & Martin, Roman & Sardo, Stefania, 2018. "The Virtual is Reality! On Physical and Virtual Space in Software Firms’ Knowledge Formation," Papers in Innovation Studies 2018/9, Lund University, CIRCLE - Centre for Innovation Research.
- Hao Ren & Rongrong Wang & Suopeng Zhang & An Zhang, 2017. "How Do Internet Enterprises Obtain Sustainable Development of Organizational Ecology? A Case Study of LeEco Using Institutional Logic Theory," Sustainability, MDPI, vol. 9(8), pages 1-21, August.
- Nicos Komninos & Christina Kakderi & Antonio Collado & Ilektra Papadaki & Anastasia Panori, 2021. "Digital Transformation of City Ecosystems: Platforms Shaping Engagement and Externalities across Vertical Markets," Journal of Urban Technology, Taylor & Francis Journals, vol. 28(1-2), pages 93-114, April.
- Stepan Zemtsov, 2020. "New technologies, potential unemployment and ‘nescience economy’ during and after the 2020 economic crisis," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(4), pages 723-743, August.
- Hsin‐Hann Tsai & Hong‐Yuh Lee & Hsiao‐Cheng Yu, 2008. "Developing the Digital Content Industry in Taiwan," Review of Policy Research, Policy Studies Organization, vol. 25(2), pages 169-188, March.
- Dominique Guegan & Peter Martey Addo & Bertrand Hassani, 2018. "Credit Risk Analysis Using Machine and Deep Learning Models," Post-Print halshs-01835164, HAL.
- Dominique Guegan, 2018. "Credit Risk Analysis Using machine and Deep Learning Models," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01889154, HAL.
- Peter Martey Addo & Dominique Guegan & Bertrand Hassani, 2018. "Credit Risk Analysis using Machine and Deep Learning models," Post-Print halshs-01719983, HAL.
- Peter Martey Addo & Dominique Guegan & Bertrand Hassani, 2018. "Credit Risk Analysis Using Machine and Deep Learning Models," Risks, MDPI, vol. 6(2), pages 1-20, April.
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Cited by:
- Weisbrod, Glen & Hensher, David A., 2023. "Improving transportation project evaluation by recognizing the role of spatial scale and context in measuring non-user economic benefits," Transport Policy, Elsevier, vol. 144(C), pages 80-89.
- Jiaoping Yang & Shujun Wang & Shan Sun & Jianhua Zhu, 2022. "Influence Mechanism of High-Tech Industrial Agglomeration on Green Innovation Performance: Evidence from China," Sustainability, MDPI, vol. 14(6), pages 1-20, March.
- Xu Chen & Chunhong Liu & Yao Jiang & Changchun Gao, 2021. "What Causes the Virtual Agglomeration of Creative Industries?," Sustainability, MDPI, vol. 13(16), pages 1-18, August.
- Ti-An Chen, 2022. "Business Performance Evaluation for Tourism Factory: Using DEA Approach and Delphi Method," Sustainability, MDPI, vol. 14(15), pages 1-19, July.
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Keywords
virtual agglomeration; creative industries; influencing factors; driving mechanisms;All these keywords.
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