Search results

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.

Scientific knowledge has characteristics of a pure public good. It is non-rivalrous in the sense that once generated, it is neither depleted nor diminished by use. Knowledge is also non-excludable since, once it is made available, in the absence of clearly defined property rights, users cannot be excluded from using it. These aspects imply that private market mechanisms will not provide adequate incentives for knowledge creation. Legal property rights, such as patents, are one means of dealing with this problem. Patronage in the form of government support for research provides another solution, as does the priority system of awarding credit for scientific discoveries to the first to find them. In the last two decades, there has been a growth in the relative importance of the use of legal property rights in the university setting and with it a growing controversy as to whether the costs may be outweighing the benefits. In this chapter, we discuss issues and evidence with regard to the ownership and licensing of publicly funded research intellectual property rights (IPR). We begin with an overview of incentives created by the patent system and discuss the ways in which these incentives differ from traditional norms of science. We then draw on the legal and economic literatures which distinguish among the incentives to invent, disclose, and innovate, and argue that the rationale for providing IPR for university research stems from the last of these. Finally, we discuss the available evidence on the creation and diffusion of academic research under current IPR regimes.

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.

I begin with a dispute over a fox hunt, by which to understand the law of tangible property, then develop that metaphor for the major types of intellectual property. I start with domestic U.S. patent law for the sake of concreteness, and generalize to other jurisdictions and types of intellectual property. In the latter parts of the paper I discuss the international implications of intellectual property, including especially the effects of information spillovers. The last part of the paper describes the hazards in analogizing “trade” in intellectual property rights to trade in goods, and particularly in interpreting international patent data. These hazards motivate the search for a structural model specially adapted to the purpose of valuing international intellectual property rights and rules. The goal is to give economists a simple and integrated framework for analyzing intellectual property across time, jurisdiction and regime type, with an eye towards eventually developing other incentive systems that have the advantages of property (such as decentralized decision-making), but fewer of the disadvantages.

This article explores the effect of technological similarity in acquisitions on invention quantity and quality. In doing so, we confirm previous findings in the literature suggesting that technological similarity exhibits an inverted U-shaped relationship with innovative output and a negative relationship with average invention quality. However, we identify the nature of the technology as an important moderating factor for both relationships. We distinguish between two types of technologies, complex and discrete, and suggest that at high levels of technological similarity, invention quantity and average quality increase more in complex technology industries as compared to discrete technology industries. These effects are attributed to innovation cumulativeness and the interdependencies developed between patent rights in complex technology settings. A study of acquisition and patenting activity in two industries over a sixteen-year period provides empirical support to our claims.

The purpose of this paper is to investigate the impact of the COVID-19 pandemic on company innovation, specifically centering on the quantity and quality of innovation. The paper aims to provide a comprehensive understanding of whether the epidemic inhibits innovation and the role of digital transformation in mitigating this negative impact.

The paper uses a quasi-experimental study of the COVID-19 pandemic and constructs a differential model to analyze the relationship between the epidemic and firm innovation in three dimensions: total, quantity and quality. The paper also uses a difference-in-difference-in-differences model to test whether digital transformation of firms mitigates the negative impact of the epidemic and its mechanism of action.

The results show that COVID-19 significantly reduced the overall level of firm innovation, primarily in terms of quantity rather than quality. Furthermore, this study finds that digital transformation plays a pivotal role in mitigating the pandemic’s adverse impact on innovation. By addressing financing constraints and countering demand insufficiency, digital transformation acts as a catalyst for preserving and fostering innovation during and after the pandemic.

This study extends the current research on the pandemic’s impact on firm innovation at the micro level. It offers valuable insights into strategies for fostering digital transformation among Chinese enterprises in the post-pandemic era.

The economic crisis of 2008 resulted in a unique context for the empirical experimentation of organizational learning and entrepreneurship theories from Schumpeterian inspiration. The purpose of this paper is to investigate how the economic downturns change the limits and possibilities to pursue both exploration and exploitation and thus achieve innovative performance.

This study examines an original database with the patent portfolio of 2,309 firms based in Brazil, covering a period of eight years preceding the 2008 economic crisis, that is 2000–2007, and five years thereafter, 2008–2013. To test the hypotheses empirically, the authors use the negative binomial model.

The findings add to the literature in two ways. First, this study found a positive association between exploitation and exploration behaviour and innovative performance. However, this relation is curvilinear because there are diminishing negative effects on innovation. Second, regarding the distinction between creative destruction and creative accumulation, the results support the prevalence of creative accumulation, although consistent with the notion of co-occurrence of both models.

This study expands the discussion on how entrepreneurs respond to the economic crisis in specific contexts of an emerging economy. We provide new empirical evidence through the exploration of a unique data set on the patent portfolio of 2,309 firms based in Brazil. Most of the previous literature has applied this topic to developed countries, and there are few studies that apply this topic outside the focus of US and European countries.

This research aims to study the effect of R&D (research and development) enablers and barriers as well as industrial property on exploration, their influence on exploitation and finally the possible impact on innovative outcome (IO) as a result variable. The IO can be defined as the orientation towards new or improved products, services and processes, as well as towards penetration and greater market share, which the company has obtained as a result of innovative processes.

For this purpose, a new relationship model is defined, which is empirically contrasted in a quantitative study. We use a sample of large firms from different economic sectors with a high level of investment in R&D.

The results indicate a close relationship between exploration and exploitation processes, as well as a positive impact on the innovative outcome. Moreover, the type of relationship that R&D enablers and barriers have with exploration is demonstrated and the lack of a positive effect of industrial property on exploration.

These results may lead to new markets opening up and the creation or improvement of new products, services or processes in diverse sectors of highly innovative firms.

This research aims to study the effect of R&D enablers and barriers and industrial property on learning flows and, finally, the possible impact on the innovative outcome. A new theoretical model of relationships is defined, and it is the first time that it is empirically tested.

本研究旨在探討研究與開發的推動者、研發的障礙和工業產權對探索與開發的影響，並最終探究出其可能對作為結果變項的創新成果帶來的影響。創新成果可解釋為邁向新的或改良的產品，服務和流程的定向，以及邁向滲透和更大的市場份額的定向，而這更大的市場份額是企業的創新流程所帶來的。

為達研究目的，我們解說了一個新的關聯模型, 並使用於一項量化研究，進行以實驗為依據的對比。我們使用的樣本，包括來自不同經濟領域，並於研發投放高水平投資的大企業。

研究結果顯示，探索與開發是兩個關係密切的流程；研究結果亦顯示對創新成果的影響是正面的。而且，結果展示了研發推動者、研發障礙兩者與探索的關聯，以及工業產權對探索是欠缺正面作用的。

研究結果或會帶來新市場的開拓，以及在不同領域、高度創新的企業內，帶來新的產品，服務與流程的創造和改良。

本研究旨在探討研發推動者，研發障礙和工業產權對學習心流的影響，並最終探究出其對創新成果可能帶來的影響。研究解說了一個新的、純理論的關聯模型，而這個模型於此是首次憑實驗而被測試的。