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In the current knowledge-based economy era, national innovation ability is crucial. Abundant information can be obtained through patent analysis, and such information can help in the formulation of policies and the making of R&D decisions; numerous researchers thus continue to make patent analyses. The quality of patents possessed by a country indicates the level of innovation and technology in the country, and this study aims to assess the quality of patents possessed by various countries.

In this study, the authors determined patent quality in various countries from the perspective of the reflective measurement model and used a novel method to construct a structural model of patent quality.

This study discovered that patent family, number of claims, number of international patent classifications, forward citations, nonpatent references and maintenance time are the structural factors that affect patent quality. Forward citations and the number of claims are particularly highly explained by patent quality, which is a latent construct.

The results of this study provide valuable information to the government and help in the assessment of patent quality in various countries. In addition, the assessment model proposed in this study can be used in the investigation of patent quality in academic research and can predict patent quality, which will be of interest to the government and industry.

This paper examines the relationship between the originality of a pharmaceutical innovation and its patent quality. Greater patent quality has been shown in the extant literature to enhance market value, which better enables firms to recoup research and development (R&D) expenditures incurred during the innovation process. Understanding how originality improves patent quality can assist policymakers, when determining the optimal length of pharmaceutical patent protection and/or market exclusivity.

The relationship between originality and patent quality is empirically investigated using a tobit, as well as a zero-inflated negative binomial, estimation approach to account for prevalence of patents receiving zero forward citations. Moderating effects of joint innovation, innovation by a university researcher and innovation by an established innovator on originality are also considered.

There is a robust and positive relationship between patent originality and quality in the pharmaceutical sector. This relationship is positively moderated by joint patent ownership with a university. As such, innovators that target originality in new drug development (especially those collaborating with universities) should, according to extant literature, see greater increases in their market value.

Policymakers can use information on the originality of a new drug to discern the optimal length of market exclusivity needed to enable the innovator to recoup expenditures related to R&D. Better predictions of the timing for which firms can recoup R&D expenditures will equip policymakers with knowledge about the appropriate timing to introduce competition into the market, which is critical to reducing the price of pharmaceuticals to consumers.

Social network theory and analytic tools have been increasingly used to examine the interaction between science and technology. Recently, researchers have paid attention to the role of publishing inventors, that is, individuals bridging the collaborative networks between authors (co-authorship network) and inventors (co-invention network). Building on this research, we study how publishing inventors’ structural position in the joint co-authorship and co-invention network affects the quality of the inventions to which they contribute. Specifically, we identify publishing inventors who play a pivotal role in holding the two networks together: their removal not only increases the network fragmentation but also disconnects the joint co-authorship and co-invention network. We define these publishing inventors as cutpoints and find them to contribute to inventions of greater quality. We situate the analysis within the context of the emerging field of nanotechnology. The theoretical and managerial implications of the results are discussed.

While the growth of emerging technologies like Blockchain has created significant market opportunities and economic incentives for firms, it is valuable for both researchers and practitioners to understand their creation mechanisms. This paper aims to discuss the aforementioned objective.

Based on the knowledge search perspective, this study examines the impact of search boundary on innovation novelty and quality. Additionally, innovation targets, namely R&D innovation and application innovation, are proposed as the moderator of the knowledge search effect. Using a combination of machine learning algorithms such as natural language processing and classification models, the authors propose new methods to measure the identified concepts.

The empirical results of 3,614 Blockchain patents indicate that search boundary enhances both innovation novelty and innovation quality. For R&D innovation, the positive impact of search boundary on innovation quality is enhanced, whereas for application innovation, the positive effect of search boundary on innovation novelty is improved.

This study mainly contributes to the growing literature on emerging technologies by describing their creation mechanisms. Specifically, the exploration of R&D and application taxonomy enriches researchers' understanding of knowledge search in the context of Blockchain invention.

This paper aims to empirically examine the factors driving the acquisition of patents and foreign technologies in 2,198 firms spanning multiple industries in Visegrád countries.

To fulfil the research objectives, the authors used the binary logistic regression models for the empirical specifications to analyse the various hypotheses to ascertain the factors contributing to patents, foreign technologies and international quality certificate acquisitions in Visegrád countries.

The results show that technological innovations, in-house and external research and development, intense competition from the informal sector and external knowledge search positively influence firms to acquire patents, foreign technologies and international quality certificates. The study further showed that certain firm characteristics, such as size, having a board of directors, female top managers and top managers’ experience, positively influenced firms’ ability to obtain patents, foreign technologies and international quality certificates.

The authors provide new insights into understanding the factors contributing to international technological linkages in the context of transitional countries such as the Visegrád four group. The authors have shown that international technology linkages through foreign technology licences and international quality certifications are vital for innovations in transition economies.

In today’s economy, intangibles have become more important than physical assets for firm success. In particular, small and medium enterprises (SMEs) registered an increasing trend in patenting, exceeding large firms in the number of patent registrations. In this context, the purpose of this paper is to investigate the association between patents and SME sales performance, taking into consideration also patent quality.

The approach uses panel regression model to investigate the relationship between patenting and sales, controlling for firm size and firm age. The authors adopt a purposive sampling technique focusing on a sample of Italian SMEs in the mechanical industry.

The results show that the count of patents do not have any effect on sales performance, while the number of jurisdictions where the protection is extended produces a positive and significant result.

The main implication for SME entrepreneurs and managers is that relying on a large number of patents does not automatically lead to higher performance; instead, filing those patents which protect particularly valuable innovations could be more productive in terms of SME sales performance Moreover, the results suggest that a longer time lag between patent filing and SME sales performance might be possible.

This paper is one of first attempts to shed light on the issue regarding SMEs patent quality. It is notable that the quality of patents in terms of geographical scope is positively associated to SME sales performance.

Innovation plays a pivotal role in a national economy and in the research and development of science and technology. Because the elements, capability and development direction of innovation in various countries are dissimilar, national innovative capacity also varies by country. However, previous studies have predominantly measured national innovative capacity through empirical studies by using a single index of innovation output, ignoring that the forms of innovation are heterogeneous across countries and failing to examine the influence exerted by various innovation models on economic development. Thus, the purpose of this study is to fill this gap by using scientific driving force and technological driving force to present the influence of national innovative capacities on economic development.

This study used regression models to test the influence of different national innovative capacities (i.e. scientific and technological driving forces) on economic development and stability.

Using the data of 60 countries, this study determined that both scientific and technological driving forces influenced economic development; specifically, scientific driving force affected economic development through technological driving force. Moreover, both research paper quality and patent quality positively influenced economic stability, but patent quality was the mediator.

This study examined scientific output from both quantitative and qualitative perspectives to determine their influence on economic growth and particularly on economic stability, which lacks dedicated studies. This study strives to bridge this gap in the literature by asserting, from the concept of economic resilience, that high-quality science and technology can strengthen the stability of a country’s economy.

The purpose of this paper is to examine the role of geographic location of research-intensive firms in the ability to generate new research and products, which consequently affects firm value.

The authors conduct the empirical study following a three-step process. First, if pharmaceutical firms are more likely to cite the patents of other firms and other innovators that are nearby, as opposed to firms and other innovators that are far away, then location (i.e. close proximity) is likely important when it comes to the ability to learn and to use the knowledge being generated by other innovators. The authors employ a “geographic information systems” (GIS) and geo-code each pair of citing and cited patents. In addition, the authors utilize spatial statistics such as Moran’s I to analyze the spatial clustering pattern of patent citations and knowledge flows. Next, the authors measure the pharmaceutical companies’ ability to generate useful patents as a function of the amount of innovation and industrial activity that is occurring close to them. Finally, the authors test whether a firm’s location relates to its firm value. Specifically, the authors model firm value as a function of its patents quality, but the authors also allow the firm’s patents quality to be a function of its location and locational attributes. In this way, the authors establish a link between location and firm value. Using a simultaneous system of equations, the authors find that location explains patent quality, which, in turn, explains firm value. In other words, there is a positive relationship between firm value, innovation and location.

In empirical tests using pharmaceutical firms and their patents, the authors first find that firms more often cite patents of other firms that are geographically closer to them than those firms that are farther away. The authors then find that a patent’s quality is a function of the firm’s near proximity to other knowledge-intensive institutions and activities. Finally, the authors find that because patent quality is a function of a firm’s geographic location, location consequently affects firm value.

For knowledge-intensive firms, geographic location matters. More specifically, the authors contend that research-intensive firms are better able to use and to expand on existing knowledge when they are closer to other research-intensive enterprises. The implication is that firm value maximization involves a location factor.

The practical implication for investors is that investors should invest in those firms that are situated in a location that is rich in geographic innovation resources because those firms are more likely to generate more and higher quality patents or innovations.

The study is the first to establish the linkage among spatial knowledge diffusion, geographic drivers of innovation, and market valuation of the firm. The study is unique in that the authors not only present evidence on spatial knowledge flows by geo-coding the exact longitude and latitude location coordinates of citing and cited patens, but more importantly, the authors also identify geographic drivers of innovation, and examine their impacts on citation-weighted patent counts and knowledge stock. Finally, using a series of simultaneous equations, the authors show how geographic innovation resources positively affect citation-weighted patent stock and knowledge stock and consequently affect market value of the firm. Thus, the novel approach contributes not only to the literature that measures geographic localization of knowledge flow using patent citations, but also to the literature that examines the impact of geographic sources of innovations on patent outputs and patent quality and, thus on firm value for research-intensive firms.

Foundry, Design House, and integrated device manufacturers (IDM) are major characters in the semiconductor industry value chain. The purpose of this paper is to discuss patterns of characters' evolution in technology through patents classified as wafer‐design application patents and wafer‐process patents.

Various patent indicators, such as average patent citation count, and the combination of the average patent citation count and relative patent count share were used to measure the patent activity, patent quality, and the combination of the patent quality and relative patent activity share, respectively. The study period (1979‐2009) was divided into three major technology or wafer size eras, 1979‐1991 for the 6‐ and pre 6‐inch wafer era, 1989‐1999 for the 8‐inch wafer era, and 1997‐2009 for the 12‐inch wafer era.

Foundry has gradually become the technology transferor rather than purely the manufacturing capacity provider. Foundry's impact on the technology level has risen steeply on both the wafer‐process technology fields and the wafer‐design application technology fields. As a result, IDM, traditionally considered the primary technology contributor in the semiconductor value chain for the past 30 years, will continue to be challenged in the semiconductor industry.

Some hypotheses are clarified to provide managerial implications for the semiconductor industry. Owing to Foundry's rise in technology activity and quality, IDM/Design House should not merely view it as one of their capacity providers but should also pursue a technology alliance with it.

The paper clarifies the traditional hypotheses of the characters of technology in the semiconductor value chain.

The purpose of this paper is to provide a methodological framework for evaluating the impact of open innovation (OI) adoption on start-up ventures at the knowledge domain level, taking into account the technological specialization and the quality of innovation output.

The framework employs patent data for investigating joint development activities between start-ups and partners, thus defining an openness degree of R&D. The partner typology and the levels of specialization on the knowledge fields affected by each invention are investigated. The methodology is tested on a sample of bio-pharmaceutical start-ups.

On average, the openness level in the start-up phase is higher than the consolidation one. Furthermore, the higher the level of openness during the start-up phase, the higher the propensity to collaborate with scientific organizations. And yet, the occurrence of R&D collaborations is positively correlated to the level of specialization on the knowledge fields involved in joint development activities.

OI strategies are valuable for start-ups, particularly in the bio-pharmaceutical industry, since their adoption improves the quality of innovation output. This is particularly true when R&D collaborations are established with scientific entities.

This work investigates the impact of OI adoption on start-up ventures at the knowledge domain level, by employing objective and standardized data. Hence, the methodology can be considered as a first step in developing a useful tool for managers, researchers and business analysts.