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The level of R&D spending of a country tends to increase the national patent rate and, in consequence, can collaborate with its economic development. However, there are a few empirical studies investigating this phenomenon by comparing countries from all over the globe. The purpose of this paper is to disassemble the sources of R&D spending and identify the role of national patent applications as a mediator in the relationship between R&D spending and national development.

Panel data on patent applications in 35 countries of all continents (except Africa) over 15 years (from 1999 to 2013) regarding four levels of national R&D intensity (i.e. by enterprises, governments, higher education institutions and private non-profit organisations), gross domestic product (GDP) per capita, gross national income (GNI) and human development index (HDI) were collected from the OCDE. Then, two-stage panel regressions were conducted to test the hypotheses.

The empirical findings indicated that R&D spending from firms and higher education institutions (public and private) help to directly improve national patent applications, thus contributing to the national development (measured by GDP per capita, GNI per capita and HDI).

The importance of this study was to show that the investments in R&D made by universities and firms are more effective in leading to patent applications, which contributes to promoting national development. With these findings, governments can focus their efforts on stimulating these types of investments if they want to foster the growth of national patent rates.

With the growing climate problem, it has become a consensus to develop low-carbon technologies to reduce emissions. Electric industry is a major carbon-emitting industry, accounting for 35% of global carbon emissions. Universities, as an important patent application sector in China, promote their patent application and transformation to enhance Chinese technological innovation capability. This study aims to analyze low-carbon electricity technology transformation in Chinese universities.

This paper uses IncoPat to collect patent data. The trend of low-carbon electricity technology patent applications in Chinese universities, the status, patent technology distribution, patent transformation status and patent transformation path of valid patent is analyzed.

Low-carbon electricity technology in Chinese universities has been promoted, and the number of patents has shown rapid growth. Invention patents proportion is increasing, and the transformation has become increasingly active. Low-carbon electricity technology in Chinese universities is mainly concentrated in individual cooperative patent classification (CPC) classification numbers, and innovative technologies will be an important development for electric reduction.

This paper innovatively uses valid patents to study the development of low-carbon electricity technology in Chinese universities, and defines low-carbon technology patents by CPC patent classification system. A new attempt focuses on the development status and direction in low-carbon electricity technology in Chinese universities, and highlights the contribution of valid patents to patent value.

This study aims to assess the technological capability of Chinese internet platforms (BAT: Baidu, Alibaba, Tencent) compared to US ones (GAFA: Google, Amazon, Facebook, Apple). More specifically, this study explores Baidu’s technological catching-up process with Google by analyzing their patent textual information.

The authors retrieved 26,383 Google patents and 6,695 Baidu patents from PATSTAT 2019 Spring version. The collected patent documents were vectorized using the Word2Vec model first, and then K-means clustering was applied to visualize the technological space of two firms. Finally, novel indicators were proposed to capture the technological catching-up process between Baidu and Google.

The results show that Baidu follows a trend of US rather than Chinese technology which suggests Baidu is aggressively seeking to catch up with US players in the process of its technological development. At the same time, the impact index of Baidu patents increases over time, reflecting its upgrading of technological competitiveness.

This study proposed a new method to analyze technology mapping and evolution based on patent text information. As both US and China are crucial players in the internet industry, it is vital for policymakers in third countries to understand the technological capacity and competitiveness of both countries to develop strategic partnerships effectively.

This study aims to analyze the correlation between the investments in the Brazilian Space Agency (BSA) and the patenting process.

The methodology used was a statistical analysis through correlation and linear regression between the secondary data of investments made by the federal government, retrieved from the Transparency Portal, in the BSA and the patenting process, taking into consideration the number of invention, utility model and certificate of addition of invention.

After a brief presentation of the emergence of innovation and patent applications with the investments of governments in space agencies, this study presents the analysis of information in different times of investment that showed positive correlation between the two variables adopted.

One can point to the value of this study as strategic investments in space agencies to boost the filing of patents in a nation in the most diverse areas.

There is no proposed solution to address the unresolved issues of constructing the Chinese university intellectual property information service system (IPISS) to promote the whole process service efficiency of IP creation, utilization, protection and management. The purpose of this paper is to propose a complete system, including theoretical framework and system development which addresses the existing difficulties to IP create, protect and transfer for researchers in universities. The paper shares the practice of utilizing the system developed by Wuhan University IP research team known as Wuhan University Intellectual Property Information Service System (WHU-IPISS).

First, the IPISS of 23 universities in China was investigated on the internet. Aiming at the deficiencies of the system, such as single service type, lack of patent display window, low management efficiency. This paper constructs the theoretical framework, proposes the IP ecological chain model, divides it into four sub-chains and carries on the functional design. Further, under the theoretical framework, the IPISS was developed, including the resource supply management system, user demand matching system, resource assessment system and expert support system. Finally, the system was applied to Wuhan University to provide IP services in the whole process for university researchers.

WHU-IPISS realizes the functions of IP resource supply, demand matching, value evaluation and expert support. It solves the IP needs of university researchers and provides a guarantee for their technology research, patent portfolio, patent transfer and patent rights protection. It also improves the efficiency of IP service and can construct the IP ecosphere in universities.

The WHU-IPISS solution resolves issues of “How to develop the university IP whole process service model, fulfilling the IP service needs for universities' researchers”. The software will be released as open-source for other universities' use. The publishing model is also useful for those universities that intend to implement the IPISS.

This study aims to investigate the effects of open innovation (OI) and big data analytics (BDA) on reflective knowledge exchange (RKE) within the context of complex collaborative networks. Specifically, it considers the relationships between sourcing knowledge from an external environment, transferring knowledge to an external environment and adopting solutions that are useful to appropriate returns from innovation.

This study analyzes the connection between the number of patent applications and the amount of OI, as well as the association between the number of patent applications and the use of BDA. Data from firms in the 27 European Union countries were retrieved from the Eurostat database for the period 2014–2019 and were investigated using an ordinary least squares regression analysis.

Because of its twofold lens based on both knowledge management and OI, this study sheds light on OI collaboration modes and highlights the crucial role they could play in innovation. In particular, the results suggest that OI collaboration modes have a strong effect on innovation performance, stimulating the search for RKE.

This study furthers a deeper understanding of RKE, which is shown to be an important mechanism that incentivizes firms to increase their efforts in the innovation process. Further, RKE supports firms in taking full advantage of the innovative knowledge they generate within their inter-organizational network.

Most research and development (R&D) activities in Brazil are performed by science and technology institutions (STIs). The purpose of this research was to determine whether environmentally sound technologies (ESTs) developed by these organizations were transferred to companies, either through cooperation during research or through mechanisms such as licensing agreements or spin-offs.

In total, 1,939 research groups and 702 patent registers, identified from the same set of words related to ESTs, using semantic search in open-access databases, covering a period from 2005 to 2014, were examined. The two data sets (patents and research groups) were overlaid, and it was possible to associate inventors’ names with researchers’ names.

The results showed that only six patents could be related to the 1,939 identified research groups. Of the six patents, only one was the object of a licensing agreement, and no spin-off was identified.

This study evidenced that it is necessary to expand the mechanisms of knowledge transfer, directed not only from STIs to companies but also in the opposite direction, given that companies recognize potential market opportunities.

This study shows that improvements in the Brazilian National Innovation System are necessary, as ESTs research groups demonstrated a weak association with technologies transferred to companies, with only one case of technology transfer in the form of a licensing agreement.

The innovation creation literature primarily focuses on urban firms/regions or relies heavily on these data; less studied are rural firms and areas in this regard. The purpose of this paper is to employ a new firm-level data set, national in scale, and analyze characteristics that potentially influence innovation creation across rural and urban firms.

The authors use the 2014 National Survey of Business Competitiveness (NSBC) covering multiple firm-level variables related to innovation creation combined with secondary data reflecting the regional business and innovative environments where these firms operate. The number of patent applications filed by these firms measures their innovation creation, and the paper employs a negative binomial regression estimation for analysis.

After controlling for industry, county and state factors, rural and urban firms differ in their innovation creation characteristics and behaviors, suggesting that urban firms capitalize on their resources better than rural firms. Other major findings of the paper provide evidence that: first, for rural firms, the influence of university R&D is relevant to innovation creation, but their perception of university-provided information is not significant; and second, rural firms that are willing to try, but fail, in terms of innovation creation have a slight advantage over other rural firms less willing to take on the risk.

This paper is one of the first to analyze the 2014 NSBC, a firm-level national survey covering a wide range of innovation-related variables. The authors combine it with other regional secondary data, and use appropriate analytical modeling to provide empirical evidence of influencing factors on innovation creation across rural and urban firms.

This study aims to verify the effectiveness and efficiency of corporate technology innovation activities.

This study empirically analyzes the effects of research and development (R&D) capability on patent and new product development achievements on innovation-type small- and medium-sized enterprises (SMEs) by using the “Report on Korean Innovation Survey 2010: Manufacturing Sector” data released by the Science and Technology Policy Institute.

The results of the study indicate that staffing of the concentration of R&D human resource team and efforts toward open innovation are essential factors for the creation of corporate performance.The number of persons of the concentration R&D team in particular makes up essential resources for patent acquisition and new product development. In addition, in case of an SME’s with relatively poor resources, it is necessary to acquire resources, both material and immaterial, learn from the external R&D activities and internalize those into key corporate capabilities rather than step up the R&D activities on their own.

The results of this study indicate that innovative small enterprises need to secure the number of R&D human resource members for maintaining sustainable competitiveness and securing market share. Therefore, a strategy is needed that would enable employing and raising excellent human resource in the quantitative and qualitative aspects. However, in the circumstances that small enterprises suffer difficulty in securing professional human resource for R&D compared to large enterprises, as there is a limitation for securing human resource for R&D from only the dimension of enterprises, governmental and political support is thought to be necessary for securing good-quality human resource for R&D. Accordingly, the results of this study provide many implications for the necessity of detailed methodology on how to expand professional human resource for R&D among supporting policies for technical innovative enterprises and to establish innovative strategies of enterprises.

The purpose of this paper is to assess how technology transfer offices (TTOs) of a public university of the state of São Paulo use patent valuation methods in the process of using developed technology value and transferring technology to industry.

This study is an exploratory qualitative investigation based on a case study conducted in a public university in the state of São Paulo. The university has a TTO and an internal structure for technology transfer. In-depth interviews were conducted with the TTO manager about patent valuation and the answers given were analysed.

The results on how TTOs use patent valuation methods in the process of assigning value to technology indicate which factors facilitate and which factors hinder the valuation of patents in technologies developed at universities.

The possible lack of data disclosure due to confidentiality regarding royalties and trading fees makes further comparisons between Brazilian public universities difficult. Therefore, this study recommends that further studies on patent valuation and technology transfer process at private universities, research institutes and public and private companies should be performed.

In the practice, this study contributes to companies and TTOs by increasing their synergies in licensing negotiations, as well as by reducing the gap of information, between the business parties for assignment and transfer of technologies. With regard to theoretical contribution, this study can cite advances in the methods to measure the financial benefits arising from the valuation of technologies embedded in the patents.

Owing to the lack of research on the methods of valuation used by TTOs of Brazilian universities, the present study can be useful in serving as a theoretical source for future research and in supporting future TTO negotiations in the process of transferring technologies to productive industry.