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Government incentives are critical for successful indigenous innovation commercialisation, yet there are concerns about the efficacy of these incentives. Therefore, this study examines the effectiveness of government incentives on successful indigenous innovation commercialisation in the context of low-income economies by testing the effects of demand and supply-side incentives on firm performance in the small-scale industry in Ghana.

The theoretical framework for this study is built on the below-the-radar theory of innovation (Kaplinsky et al., 2009). Using a sample of 557 firms engaged in commercialising various indigenous innovations in the small-scale industry in Ghana, PLS-SEM was deployed to assess 11 hypothesised paths based on a validated questionnaire.

The model results, at a 5% significance level, indicate that supply-side incentives are statistically insignificant on sales and profitability but have significant positive effects on employment. The direct and moderating influence of supply-side incentives and market factors on overall firm performance is also insignificant, while demand-side incentives to buyers have significant positive effects on all the performance metrics and positively moderate the effects of market factors.

The research focused on commercialising indigenous innovation in the context of low-income economies. Few studies, if any, have separately explored the effect of demand and supply-side government incentives on indigenous innovation in the context of low-income economies. The findings suggest that innovation support should focus more on the demand side of the innovation value chain.

This study aims to contribute to the understanding of the innovation environment of a developing nation through the Triple Helix model, revealing the existing inter-relationships between the three Helixes of Academia–Industry–Government. It sets out to find out the relationship and impact of the three Helixes on the most crucial stage of the innovation process: the commercialisation of patents, and to ascertain if there is a varying impact determined by patent ownership.

This cross-sectional study uses the survey method based on the views expressed by 220 Sri Lankan registered patent holders and categorised by organisational and individual ownership. The sample is drawn from the database of the National Intellectual Property Office of Sri Lanka and patents registered through the Patent Cooperation Treaty, extracted from the World Intellectual Property Organisation Patent Scope database. The survey was carried out in 2019 and limited to patents registered during the period 2010–2014.

The empirical findings indicate weak inter-relationship between Academia support, Industry support and patent commercial success, while the support of the Government Helix is non-significant in the commercial stage. The findings also indicate two different support standards existing in each Helix for the two ownership groups.

The study is limited to a five-year window in a relatively early period in the country’s innovation policy development. The study model is also limited by the non-inclusion of mediators such as government-backed affiliated agencies and academia technical transfer offices which if incorporated would improve the study model and be more reflective of the actual environment and their role as change agents bridging the transition to a hybrid Triple Helix.

The study findings capture the inter-relationships of the Triple Helix existing in a developing country at the most crucial stage of the innovation process. It helps policymakers identify the gaps in each Helix that stands wanting and take measures to rectify them by creating a more favourable National Innovation System. An innovative environment that will facilitate patent holders achieve higher technological transfers and commercial success rates.

The findings disclosure of two different support standards existing in each Helix for the two patent ownership groups poses a challenge for policymakers and challenges the core objective of increasing the commercial success of patents granted. The findings strengthen the need for a more robust support system to be put in place that would empower and facilitate the individual patent owner to increase the share of economic value arising from this underutilised patent group.

This study contributes by furthering the Triple Helix model in a social context and micro-setting by operationalising the theoretical practices. The study also gives insight into each Helix’s interaction and contribution during the most crucial stage of innovation management in a developing economy and its impact on the two categories of patent ownership which is scarce.

The purpose of this paper is to develop a commercialization model based on gaining economic benefits through the transfer of technological capabilities in the oil and gas industry. Since commercialization models are mostly based on the implement of technology to produce and sell new products, this study focuses on developing a specific independent technology commercialization model.

The method of this research is qualitative based on the grounded theory. For this purpose, general variables with content analysis were extracted by reviewing documents (Literature review) and then for identifying special components, interviewing experts in the Iranian oil and gas industry. Participations were selected using snowball sampling for semistructured interviews.

The findings of this research were extracted based on grounded theory with data analysis in MAXQDA software. In this research, first, 210 open codes were identified based on qualitative content analysis of relevant documents and results of interviews with experts. Then the classification of open codes was done, and 46 subcategories (variables) were determined in the commercialization model. Finally, 46 subcategories were classified into 10 categories as axial codes in grounded theory as components of the commercialization model.

The results of this research have led to the creation of new practical and theoretical implications. In this research, a new perspective of commercialization with the aim of transferring technology and obtaining its economic benefits for oil and gas industry companies was discussed. Also, based on the practical implications explained in this research, policymakers can use the suggested model to effectively implement independent technology commercialization to acquire economic benefits.

This study is purely original and the outcome of the research conducted by the authors. The research findings are the outcome of in-depth study on technology commercialization in the Iranian oil and gas industry.

This paper aims to analyze the link between universities and business incubators (BIs) and to determine how students, scientific researchers and entrepreneurs can benefit from this linkage. It creates an environment in which everyone can help the other to put their new ideas, special skills and abilities into new businesses. In other words, the traditional universities’ role has changed and entrepreneurial universities are now needed to redirect new knowledge for economic development through BIs.

This paper adopts an analytical descriptive methodology approach to describe the basic features of the data by using the descriptive research design. This research is based on examining a model provided by the author concerning boosting the entrepreneurial aspects and outcomes through university business incubators (UBIs) based on wide theoretical and empirical case studies. Also, the functional structural approach is used to investigate the relationship between two variables as UBIs are considered a new unit that has functions and structures to create an added value to universities and the society as a whole.

The educational system should create a favorable environment that enables young people to develop their mindset from employees to employers, and to prepare them to improve skills and knowledge to create jobs. UBI is the recent aspect of the BI evolution where the research outcomes are linked with the industry and development. This relationship between these entities will provide success to its stakeholders.

Many incubators around the world are supported by universities. Others are making initiatives to link up with universities and higher education institutions to get the revenues and returns from its academic nature. Lately, university incubators became a type of incubator evolution and more supportive for entrepreneurs than other types of incubators.

The contribution of this study is to explain how UBIs succeeded to tie the results of scientific research with economy and development through entrepreneurial activities to accelerate and realize entrepreneurship strategies.

The European Innovation Scoreboard is an important indicator of innovation performance across European Member States. Despite its wide application, the indicator fails to highlight the interlinkages that exist among innovation measures and focuses primarily on the linear relationship between the individual measures and the predicted outcome. This study aims to address this gap by applying a novel technique, the fuzzy-set qualitative comparative analysis (fsQCA), to shed light on these interlinkages and highlight the complexity of the determinants underlying innovation performance.

The authors adopted a configurational approach based on fsQCA that is implemented on innovation performance data from European Member States for the period 2011–2018. The approach is based on non-linearity and allows for the analysis of interlinkages based on equifinality, that is, the model recognises that there are different potential paths of high and low innovation performance. In addition, the approach allows for asymmetric relations, where a low innovation outcome is not the exact inverse of that which leads to high innovation outcome.

The results clearly indicate that innovation outcomes are not based on simple linear relations. Thus, to reap the desired effects from investments in innovation inputs, the complex set of indicators on which innovation performance is based should be taken into consideration. The results clearly indicate the elements of equifinality and asymmetric relations. Different paths lead to high innovation performance and low innovation performance.

The method applied to investigate the determinants of innovation performance is the prime original factor of this study. Thus, the study contributes to literature by highlighting the complexity involved in understanding innovation. By recognising and attempting to detangle this complexity, this study will assist not just academics but also policymakers in designing the necessary measures required to reach this important outcome for a country’s competitive edge.

This paper aims to identify such “entrepreneurial skills” that the scientific community can develop within themselves through training and practice to improve their academic research translation capabilities and performance.

From a qualitative perspective, this study currently presents a few findings from some of the best government-funded laboratories in India and Japan, where they are training their young researchers to be world-class scientists as well as entrepreneurs to help them commercialize their scientific research findings from lab to market for societal benefit.

This paper intends to focus on identifying some of the “best practices” in developing such capabilities that allow “entrepreneurial scientists” to take their science to the society through entrepreneurship. This paper presents two exemplary case studies about institutions that are trying to build innovation and entrepreneurship capabilities in their research groups through continuous training and practice in the fields of biotechnology (India) and autonomous transportation (Japan).

Policymakers and top management teams at academic institutions can learn from the “best practices” on envisioning, evaluation and execution skills for designing their innovation and entrepreneurship skill-building programs for their scientific community.

This study aims to propose a refined dynamic network slacks-based measure (DNSBM) to evaluate the efficiency of China's regional green innovation system which consists of basic research, applied research and commercialization stages and explore the influencing factors of the stage efficiency.

A two-step procedure is employed. The first step proposes an improved DNSBM model with flexible settings of stages' input or output efficiency and uses second order cone programming (SOCP) to solve the non-linear problem. In the second step, least absolute shrinkage and selection operator (LASSO) and Tobit models are used to explore the influencing factors of the stage efficiency. Global Dynamic Malmquist Productivity Index (GDMPI) and Dagum Gini coefficient decomposition method are introduced for further discussion of the productivity change and regional differences.

On average, Chinese provincial green innovation efficiency should be improved by 24.11% to become efficient. The commercialization stage outperforms the stages of basic research and applied research. Comparisons between the proposed model and input-oriented, output-oriented and non-oriented DNSBM models show that the proposed model is more advanced because it allows some stages to have output-oriented model characteristics while the other stages have input-oriented model characteristics. The examination of the influencing factors reveals that the three stages of the green innovation system have quite diverse influencing factors. Further discussion reveals that Chinese green innovation productivity has increased by 39.85%, which is driven mainly by technology progress, and the increasing tendency of regional differences between northern and southern China should be paid attention to.

This study proposes an improved dynamic three-stage slacks-based measure (SBM) model that allows calculating output efficiency in some stages and input efficiency in the other stages with the application of SOCP approach. In order to capture productivity change, this study develops a GDMPI based on the DNSBM model. In practice, the efficiency of regional green innovation in China and the factors that influence each stage are examined.

This research aims to assess and compare project-based learning (PBL) designs to deliver technopreneur in higher education, as a case student of the Industrial Engineering Department. So, it can facilitate students who play a role in facilitating the process of technological transformation so the student knows well how to solve the problem of commercialization.

Undergraduate students of Industrial Engineering teams were given hands-on, collaborative projects conducted with two incubation centers, such as the Technology Incubator Center from the Agency for the Assessment and Application of Technology (AAAT) from the government of Indonesia and the Centre of Excellence for Electrical Energy Storage Technology (CEfEEST) from Sebelas Maret University (UNS), Indonesia. After completing the project, students will develop a final project which will become the basis for evaluating the implementation of PBL. The basis for the assessment uses a rubric designed through three sub-assessments: curriculum planning, report and presentation. This research uses the paired t-test method to see the average difference between the two groups of PBL in pairs and compare based on assessment results.

Implementing PBL between the two incubation centers (AAAT and CEfEEST) based on paired t-tests for each rubric assessment indicator showed most of them were significantly related. The assessment result gives the alternative to design the proposed PBL from AAAT, CEfEEST and a blended scenario for technopreneur education in the future.

The experiences and findings presented can help future PBLs provide technopreneur education based on comparing and evaluating learning outcomes in both incubation centers. Thus, it can produce a better PBL design to encourage the success of technology commercialization.

The assessment of PBL on students' knowledge in technopreneur education by utilizing the paired t-test method to compare the assessment results of the final projects with the designed assessment rubric. This evaluation serves as the basis for comparing the effectiveness of PBL implementation between AAAT and CEfEEST.

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.

The prevailing view in the existing literature is that open innovations (OI) increase the innovative performance of enterprises. The author examines whether the same OI practices are equally important for sole entrepreneurs, micro firms, small firms, medium-sized and large enterprises in introducing radical innovations and which set of OI practices is best for a firm, given the firm's size.

In this study probit models were used on a sample of 915 innovative Serbian enterprises.

OI is important for all enterprises introducing radical innovations. However, not all OI practices are equally effective in each enterprise size group. The set of OI practices leading to radical innovations depends on the firm size. Cooperation with others is not important for sole entrepreneurs and micro and large companies in introducing radical innovations. Still, cooperation's role is predominant in small and medium-sized enterprises. Also, certain OI practices are important for all enterprises, whilst others do not contribute to radical innovations, regardless of the firm size.

Owners/managers can save considerably by avoiding the allocation of resources to OI practices that result in little to no contribution to radical product commercialisation. At the macroeconomic level, these findings can help policymakers create adequate (tailor-made) public policies to achieve innovation in each specific group of firms.

This study demonstrates that not all OI practices are equally important for achieving radical production solutions in each group of enterprises.