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Consistent with the knowledge spillover theory of entrepreneurship, the purpose of this paper is to recognise the complementary entrepreneurial role of knowledge transfer intermediary organisations in the context of two Central and Eastern European (CEE) countries: Poland and the Czech Republic.

The aim was achieved through empirical studies relying on multiple-case study methodology and cross-case analysis covering 21 cases of commercialisation intermediary institutions. It was assumed that institutional and geographical conditions can impact the knowledge-based opportunity exploitation between different national economies.

Research confirmed that scientists in Poland and the Czech Republic are the central figures of the commercialisation process in terms of entrepreneurial opportunity recognition; however, they need support from intermediary organisations in many other entrepreneurial activities. The history of knowledge commercialisation and its intermediating entities in these countries is relatively young and spin-off company creation is not a common practice. Expertise knowledge, creativity and self-confidence admitted, by the respondents in both countries, can be an optimistic sign for the future efforts in fostering innovativeness of CEE countries. Stronger support of formal institutional framework and policies in those countries is expected.

Science commercialisation has lately attracted much attention, but only a few studies have tried to develop conceptual frameworks considering knowledge-based entrepreneurship and knowledge commercialisation in their relations and subsequential roles. Also, over the past couple of years literature in this area has expanded mainly relying on observations in the USA and Western European countries. Hence, this study allowed to collect findings from CEE countries for which data are still insufficient but can significantly contribute to the theory development. Also, some recommendations for policymakers arise from this study. Further research could validate the results in an extensive quantitative study.

Commercial entities have recently expressed growing interest in commercialising indigenous knowledge (IK) due to its enormous economic and intrinsic value. As this happens, custodial communities must not be disadvantaged in the process. This paper aims to understand the legal framework of the commercialisation of IK to identify the opportunities and factors impeding or affecting the commercialisation of indigenous knowledge in Kenya.

The study used a qualitative research approach. An extensive exploratory literature review of existing legal instruments was done to establish the progress and gaps for commercialising indigenous knowledge in Kenya.

The study shows that the legal framework of IK in Kenya is inadequate. There are no well-established frameworks and policies to protect IK in Kenya, and thus, host communities are subjected to exploitation. The diversity of tribes and communities makes it challenging to have a clear framework, mainly because IK is a devolved function. The study identifies the Protection of Traditional Knowledge and Cultural Expressions Act 2016, The National Museums and Heritage Act 2006 and the Natural Products Industry as the key milestones towards commercialisation of IK, while inadequate documentation of IK, communal ownership and inadequate legislation were identified as the main impediments to commercialisation of IK in Kenya.

Owing to the diverse cultures and tribal communities in Kenya, the research could not access all the literature on all traditional IK in Kenya, and very few case studies have been conducted in Kenya.

The gaps identified in the legal framework can form a basis for legislation, policy change, actions and research needed to improve the commercialisation of IK.

The paper underscores the importance of balancing economic empowerment with preserving cultural integrity and protecting indigenous rights in commercialisation.

Commercialization of research projects at the university, in particular, its efficiency and performance, have attracted little attention in the empirical literature to date. This despite the fact that commercialization of university knowledge is increasingly seen as a third task of universities and understanding of what enhances and what blocks the processes involved, is virtually lacking, particularly on the project level. The purpose of this chapter is therefore to identify factors that influence the performance of university-driven knowledge projects, including efficiency, in the context of commercialization of knowledge at universities. In this context, the study employs Data Envelop Analysis combined with Rough-Set Analysis on a sample of 42 projects in the Netherlands. The major factors influencing overall performance in commercialization turn out to be years of collaboration with large firms and efficiency in use of resources in the projects, but the affinity of the project managers at university with the market also plays a role. The best overall results in commercialization (introduction to market in a relatively short time) are gained with a longer period of collaboration with large firms (5–10 years) and a medium level of efficiency. There are also some contradictory trends. The chapter concludes with implications of the results, as well as some future research paths.

Universities have a new role in the commercialisation of knowledge (Etzkowitz, 1998). The new role began with science parks and increased collaboration in 1980s and, with other forms of commercialisation, broadened to licensing and spin-off creation in 1990s, which also involved students (Rasmussen, Moen, & Guldbransen, 2006). Commercialisation has led to a situation where a complex web of relations exists between higher education, spin-offs created by them and large firms. All together the progress has been important because the ‘commercialisation of knowledge connects the higher education to the users of the knowledge’ (Etzkowitz, 1998). The rise of the knowledge-based society also brings the creation of knowledge-intensive firms into focus. The aim of the chapter is to create more understanding how small technology-based Knowledge Intensive Business Service (KIBS) firms can have a new role in knowledge commercialisation. In this chapter, the innovation chain is considered as a continuum from basic research through applied research to product development and finally commercialisation. There still exists a ‘valley of death’ between research and commercialisation (Markham, 2002). Spin-offs are one means to cross it.

The purpose of this paper is to compare investment in innovation (e.g. R&D) between new venture start‐ups before commercialization and operating businesses after commercialization.

Real options methods were used to model a new venture start‐up as a perpetual call option on an operating business that grows with R&D. The operating business uses R&D to improve actual earnings while the start‐up uses R&D to improve prospective earnings. When the start‐up entrepreneur commercializes his/her new product, device, or service with conventional investment (e.g. plant, property, and equipment to begin production), prospective earnings convert into actual earnings.

The ability of the start‐up entrepreneur to avoid commercialization costs upon failed R&D makes R&D more valuable to the start‐up entrepreneur than to the manager of the already operating business (for whom commercialization costs are sunk) and despite R&D costs that the start‐up incurs without the revenues that only commercialization generates. The value of R&D to the start‐up can be so great that the entrepreneur invests in R&D before the manager of an otherwise similar operating business in similar business conditions.

Without favoring either a priori, the authors show that under broad circumstances, a new venture start‐up undertakes R&D before an already operating business. The authors also discuss the empirical implications of the results.

This article draws on the literature on valuation and evaluation and the orders of worth framework to consider the process of knowledge commercialization from academia to practice. Based on the study of two knowledge commercialization projects in a business school, the study contributes by showing how the orders of worth framework may assist in understanding the assignment of worth to knowledge-based objects in the context of multiple and potentially competing systems of valuation. The study also adds to the literature on the orders of worth framework by showing how “composite objects” or “assemblages” that achieve compromise or synergy (i.e., mutual reinforcement) between different value systems may be constructed and potentially sustained.

The purpose of this paper is to explore and visualize alternative ways – how and by whom – that academic research can come into commercial use.

This study in the Swedish context investigates one entrepreneurial university, Chalmers University of Technology. In total, 18 interviews were conducted about researchers’ views on commercialization and on how research comes into commercial use.

Five propositions are advocated in relation to researchers’ role as enablers of others’ commercialization. The concept of “need for utilization” is introduced as the critical explanation for researchers’ readiness to transfer knowledge mainly via alumni to established companies.

This study suggests that both universities and policy should acknowledge alternative ways of commercialization of academic research instead of putting all efforts on trying to transform unwilling academic researchers into entrepreneurs. One alternative is to foster ongoing contacts between researchers and alumni, who make commercial use of academic research in established firms.

This study furthers the knowledge about researchers’ individual motivation for commercialization, as driven by a “need for utilization.” By showing how researchers enable others commercialization, this study broadens the prevailing focus on researchers’ formation of university spin-offs as the essential output from entrepreneurial universities. The results also contribute to understanding the role of alumni in knowledge transfer to existing industry.

In this paper we explore potential barriers for commodification of academic research in emerging countries.

We carried out an exploratory study employing a mixed-method sequential exploratory design. Initially, qualitative interviews were performed to identify cognitive, structural, and ideological barriers associated with commodification. Subsequently, we administered a survey at three universities in Kazakhstan to gather quantitative data. The quantitative insights served to complement our qualitative findings and facilitate the interpretation of the observed patterns within the broader population.

We found that a too rapid shift toward commercialization exacerbated concerns among faculty members and created obstacles to commodification. The obstacles identified through inductive clustering of themes from exploratory qualitative interviews were grouped into three intentionally broad categories: cognitive, structural, and ideological barriers. We argue that in emerging economies, the path to commodifying academic research should start with developing local infrastructure to address identified structural, cognitive, and ideological barriers. This, in turn, will lead to more successful commercialization and redefine the role of academics in society.

Our study has several limitations related to its empirical scope. We concentrated solely on one country, Kazakhstan. For future research, it is crucial to broaden the investigation to include more studies from the Central Asia region and other emerging economies. We believe that while there may be some minor institutional differences, the findings are generalizable to all post-socialist countries. However, incorporating a diverse range of institutions, particularly those with foreign ownership or private capital, would enhance the comprehensiveness of the findings. Furthermore, collecting a more extensive and balanced sample of responses from industry partners, academics, and students would have provided more valuable insights. By including a broader representation of stakeholders, we could have gained a more nuanced understanding of the complexities surrounding commodification in higher education. Given the exploratory nature of this study, it is essential to regard the findings as a source of inspiration rather than empirical confirmation.

Our research has practical implications for managing universities in emerging markets, as well as important policy implications, both for international actors and local governmental bodies.

Our findings carry implications for policymakers. The focus that international institutions place on the matter of commodification and commercialization of knowledge is a positive step. Challenges emerge when this matter is approached with a narrow perspective. Drawing on the empirical context of the Republic of Kazakhstan, a country often overlooked in the literature on emerging markets, we find evidence that knowledge has indeed transformed into a commodity. The rapid shift toward commercialization, driven by substantial institutional pressures, may have occurred too precipitously in this particular context. In light of these findings, we advocate for a more balanced and contextually nuanced discourse concerning both the commodification and commercialization of knowledge.

This study represents one of the few endeavors into exploring commodification within the context of emerging economies. In recent decades, universities have faced substantial pressures to commodify academic research. While there has been a significant volume of research discussing and documenting the success of commodification in developed country universities, those in emerging economies have faced similar pressures without achieving comparable success. This paper delves into the reasons why.

The creation of start-ups using knowledge provided by universities has been identified as an important source of knowledge spillover and regional economic development. Entrepreneurship ecosystems in education have become the most important and efficient mechanism of business community engagement and knowledge transfer within university-industry-government framework creating value to society and regional economy. The paper aims to discuss these issues.

This study undertakes in-depth synthesis of eclectic literature on entrepreneurship ecosystems and knowledge spillover of entrepreneurship, examining the critical success factors and enablers of entrepreneurship ecosystems in education.

This study proposes entrepreneurship education ecosystems as an alternative unit of analysis when it comes to considering the role of university-industry-government collaboration in knowledge commercialization. The authors recommend key entrepreneurship education ecosystem enablers for knowledge commercialization and engagement with entrepreneurial communities.

The authors propose a framework for the creation of an entrepreneurship education ecosystem as a unit of analysis when considering the role of university-industry-government collaboration. It requires different approaches to teaching, research and business outreach, some of which have not yet been discovered or yet need to be created.

This study aims to determine the contributing factors to technical knowledge valuation at the related quadruple levels of commercialisation, including the idea, benchtop technical knowledge, prototype technical knowledge and commercialised technical knowledge, and then classify the factors by the valuation objectives.

The study method is descriptive-causal, and documentation tools of published scientific research articles in authentic local and international journals were used to extract the contributing factors to technical knowledge valuation. Moreover, the Likert spectrum-based questionnaire is used to determine the weight of each determined component. On the other hand, hierarchical analysis is used based on the extracted results from the distributed classification questionnaire among scholars to determine the allocable weight of each component.

The results indicate that at the idea step, the highest ranks among the contributing factors to technical knowledge valuation are for the indicators of innovation rate enhancement, novelty, creation of new products, profitability growth and dependence decline. In the benchtop technical knowledge step, the indicators of profitability growth, product quality enhancement, novelty, production risk drop, innovation rate enhancement, production costs drop, product price competitiveness and independence from rare machinery have the highest impact coefficients on valuation. Moreover, the prioritisation of factors in prototype technical knowledge shows that the indicators of productive risk decline, infrastructure, decrease in product delivery time, productivity growth and profitability growth are the most critical factors in technical knowledge valuation. Finally, profitability growth factors, production cost drop, productive risk drop, creating a new product, product price competitiveness and dependence decline determine the most valuable technical knowledge in the commercialisation phase.

The most salient innovation of the study involves the development levels of technical knowledge in the commercialisation cycle for determining the contributing factors to technical knowledge valuation and using multivariate decision-making methods to classify the so-called factors. The major limitation can be the context of the study because the paper was carried out by Iranian assessors and specialists using the experiences, opinions and approaches of opinion leaders based on the dominant social, cultural and accounting background of a developing country, not a developed one.

This paper is applicable because it elucidates the technical knowledge valuation factors for managers and owners of technological and knowledge-based companies to facilitate value determination and register the technical knowledge of innovative products in financial statements for the logical presentation of available intangible assets in the economic unit. Besides, in the high-tech area, collecting information from the contributing factors to technical knowledge valuation provides an opportunity to support intellectual property rights and facilitate transaction processes. Finally, in legal areas, in cases of breaching intellectual property rights relative to technical knowledge, the determination of technical knowledge value provides a solid basis for estimating the damage rate.