Entrepreneurial Ecosystem: The Role of Intellectual Capital in Education in Moderate Innovative Countries

Call for papers for: Journal of Intellectual Capital

Guest Editors:

Tachia Chin, School of Management, Zhejiang University of Technology (ZJUT), China

Manlio Del Giudice, University of Rome “Link Campus”, Italy

Assunta Di Vaio, University of Naples “Parthenope”, Italy

Fabio Fiano, University of Rome “Unicamillus”, Italy

Alexeis Garcia-Perez, Coventry University, UK

Niccolò Paoloni, Roma Tre University, Italy

Domitilla Magni, Roma Tre University, Italy


The relationship between Intellectual Capital (IC) and innovation performance has been recently investigated in terms of venture creation and entrepreneurial intentions (Khan et al., 2019). More specifically, some drivers of IC – such as knowledge, skills, and entrepreneurial opportunities – have a positive effect on “entrepreneurial intentions”. This confirms the crucial role of intangible components of IC on entrepreneurial performance and the need to change knowledge into a value (Edvinsson and Sullivan, 1996; Chin et al., 2020).

This new environment challenges entrepreneurs to be innovative and to adopt new technologies to be competitive. These changes mandate changes to IC with a focus on operational processes. Nowadays, the relationship between IC and innovation have been embraced in the digital context. In fact, recent research by Popoka and Sergi (2020) has introduced the concept of “artificial intellectual capital” in the context of industry 4.0, suggesting a fresh idea of entrepreneurship.

In recent years, the wide theme of entrepreneurship has catalyzed the attention of the economic and managerial scholars (Zhao et al., 2014; Usai et al., 2018; Nicotra et al., 2018). Original frameworks on entrepreneurial ecosystems were mainly focused on personal and character traits that had a significant influence on the individual decision to become an entrepreneur (Byers, Kist and Sutton, 1997; Dove, 1999; Llewellyn and Wilson, 2003). Subsequently, some scholars suggested that environmental factors had a contributory role in the decision process to create new entrepreneurial realities (Cohen and Winn, 2007; Del Giudice et al., 2017). It has also been observed that entrepreneurial ecosystems, as well as being the engine of growth of a country’s economic progress, can be seen as a factor of recovery in a moment of structural decline (Lee and Peterson, 2000).

Prahalad (2005) provided one of the first definitions of the entrepreneurial ecosystem according to which the ecosystem activates individuals, firms and society in effectively combining for the generation of economic prosperity. The main feature of this system, according to Prahalad, is the ability to combine stakeholders who are often guided by different objectives: “is a framework that allows private sector and social actors, often with different traditions and motivations, and of different sizes and areas of influence to act together and create wealth in a symbiotic relationship” (Prahalad, 2005). Cohen and Winn, (2007) explores the applicability of the entrepreneurial ecosystem in creating a “sustainable valley” by developing some key factors such as informal networks, formal networks, universities, institutions, professional services, capital, and the availability of talents. It has also spurred the intertwining of IC and knowledge management and can improve the competitiveness of business favoring innovation and sustainable growth (Alvino et al., 2020). Hayton (2005) highlighted the importance of the “how” use in the operational processes the IC in the high-technology new ventures (HTNVs) to stimulate the “corporate entrepreneurship”, that is innovation and corporate venturing activities. Besides, the positive relationship between corporate entrepreneurship and financial performance appears higher in more competitive and constantly changing market environments. To identify and to understand the main drivers that represent the milestones of IC are still in the heart of the scientific debate, especially for the firms characterized by high innovation in the processes, products/services, information-accounting, organizational architectures, and so forth. Indeed, the non-financial disclosure issues about the intangibles in organisations based mainly on knowledge have always been at the centre of the academic debate (Di Vaio et al., 2020).

In this direction, an important role is assumed by learning and technology transfer issues to support Entrepreneurial Ecosystem. Otherwise, there are many studies on entrepreneurship as a central theme in the most innovation performing countries (Vargas-Vera et al., 2013; Del Giudice et al., 2019), while research about the Entrepreneurial Ecosystem on dynamics learning and technology transfer seems to be still an under researched area.

Following this introduction, this special issue is directed to discuss and highlight the impact of innovation, technology transfer, and Intellectual Capital in the Entrepreneurial Ecosystem. Submissions could consist of both conceptual and applied research in topics including, but not limited to:

  • Impact of IC and Innovation on Entrepreneurial Ecosystem
  • Impact of IC on Entrepreneurial Ecosystem
  • The role of the IC in cross cultural contexts
  • The role of IC and technology transfer on Entrepreneurial Ecosystem
  • The role of measurement and non-financial disclosure practices to IC in Entrepreneurial Ecosystem
  • The role of Integrating reporting to IC and Knowledge Management
  • The role of IC to incubators and the relationship with investors
  • The new entrepreneurial models that allow to manage the IC through learning and technology transfer improving the Entrepreneurial Ecosystem

Deadline and Submission Details

ScholarOne will open for submissions to this special issue from 1 June 2021.

The submission deadline for all papers is 31 July 2021.

The publication date of this special issue is late 2022.

To submit your research, please visit the ScholarOne manuscripts portal.

To view the author guidelines for this journal, please visit the journal's page.

For further information, please contact the corresponding guest editors:

Prof. Tachia Chin
[email protected]

Prof. Assunta Di Vaio
[email protected]

Prof. Fabio Fiano
[email protected]



Alvino, F., Di Vaio, A., Hassan, R., and Palladino, R. (2020) Intellectual capital and sustainable development: A systematic literature review. Journal of Intellectual Capital. Vol. ahead-of-print No. ahead-of-print, https://doi.org/10.1108/JIC-11-2019-0259.

Byers, T., Kist, H. and Sutton, R. I. (1997) ‘Characteristics of the entrepreneur: Social creatures, not solo heroes’, The Handbook of Technology Management, pp.1-5.

Chin, T., Shi, Y., Rowley, C., and Meng, J. (2020). A Confucian Business Model Canvas in the Asia Pacific: A Yin-Yang Harmony Cognition to Value Creation and Innovation, Asia Pacific Business Review. (forthcoming), https://doi.org/10.1080/13602381.2020.1795481.

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Del Giudice, M., Carayannis, E. G. and Maggioni, V. (2017) ‘Global knowledge intensive enterprises and international technology transfer: emerging perspectives from a quadruple helix environment’, The Journal of Technology Transfer, Vol. 42 No. 2, pp. 229-235.

Del Giudice, M., Garcia-Perez, A., Scuotto, V. and Orlando, B. (2019) ‘Are social enterprises technological innovative? A quantitative analysis on social entrepreneurs in emerging countries’ Technological Forecasting and Social Change, Vol. 148, 119704.

Di Vaio, A., Palladino, R., Hassan, R., and Alvino, F. (2020) Human resources disclosure in the EU Directive 2014/95/EU perspective: A systematic literature review. Journal of Cleaner Production, Vol. 257, 120509.

Dove, R. (1999) ‘Knowledge management, response ability, and the agile enterprise’. Journal of Knowledge Management, Vol. 3 No. 1, pp. 18-35.

Edvinsson, L., & Sullivan, P. H. (1996) Developing a model for managing intellectual capital. European Management Journal, Vol. 14 No. 4, pp. 356–364.

Elkington, J. (1994) Towards the sustainable corporation: Win-win-win business strategies for sustainable development. California Management Review, pp. 90-100.

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Khan, A. M., Arafat, M. Y., Raushan, M. A., Khan, M. S., Dwivedi, A. K., Khan, M. M., and Saleem, I. (2019) Role of intellectual capital in augmenting the start-up intentions of Indians—an analysis using GEM data. Journal of Global Entrepreneurship Research, Vol. 9 No. 1, 25, pp. 1-14.

Lee, S. M. and Peterson, S. J. (2000) ‘Culture, entrepreneurial orientation, and global competitiveness’, Journal of World Business, Vol. 35 No. 4, pp. 401-416.

Llewellyn, D. J. and Wilson, K. M. (2003) ‘The controversial role of personality traits in entrepreneurial psychology’, Education+ Training, Vol. 45 No. 6, pp. 341-345.

Nicotra, M., Romano, M., Del Giudice, M. and Schillaci, C. E. (2018) ‘The causal relation between entrepreneurial ecosystem and productive entrepreneurship: A measurement framework’, The Journal of Technology Transfer, Vol. 43 No. 3, pp. 640-673.

Popkova, E. G., and Sergi, B. S. (2020) Human capital and AI in industry 4.0. Convergence and divergence in social entrepreneurship in Russia. Journal of Intellectual Capital, Vol. 21 No. 4, pp. 565-581.

Prahalad, C. K. (2002) ‘The fortune at the bottom of the pyramid’, Strategy+ business, Vol. 26, pp. 1-14.

Regele, M. D. and Neck, H. M (2012) ‘The entrepreneurship education subecosystem in the united states: opportunities to increase entrepreneurial activity’, Journal of Business & Entrepreneurship, Vol. 23 No. 2, pp. 25-47.

Usai, A., Scuotto, V., Murray, A., Fiano, F., & Dezi, L. (2018). ‘Do entrepreneurial knowledge and innovative attitude overcome “imperfections” in the innovation process? Insights from SMEs in the UK and Italy’. Journal of Knowledge Management, Vol. 22, No. 8, pp. 1637-1654.

Vargas-Vera, M., Nagy, M. and De Pablos, P. O. (2013) ‘A framework for detecting and removing knowledge overlaps in a collaborative environment: case of study a computer configuration problem’, Journal of Web Engineering, Vol. 12 No. 5, pp. 422-438.

Zhao, J., Qi, Z. and De Pablos, P. O. (2014) ‘Enhancing enterprise training performance: Perspectives from knowledge transfer and integration’, Computers in Human Behavior, Vol. 30, pp. 567-573.