Patent-based investment funds as innovation intermediaries for SMEs: In-depth analysis of reciprocal interactions,motives and fallacies

SMEs and academic spin-offs play an important role in generating innovations but face resource and competency constraints that have implications for commercializing their technologies. In two in-depth case studies we analyze how patent-based investment funds (PBIFs), operating as innovation intermediaries, help overcome these constraints. In contrast to other patent intermediaries, PBIFs acquire patents and patentable inventions at an early stage of technology development when access to capital is particularly critical. They invest in the technological and legal advancement of their portfolio, which is mostly conducted in close interaction with the technology-providing SMEs and their original inventors. These PBIFs not only provide high added-value in the course of technology commercialization but also operate international networks to facilitate the commercialization of SMEs' technologies at an international scale. Although PBIFs are a promising new agent in the heterogeneous field of innovation intermediaries, their commercialization results and the actual rate of returns are not yet well established.     

Commercialization of university inventions: Individual and institutional factors affecting licensing of university patents

This paper conducts a unique study using the university patent as the unit of analysis to determine how individual and institutional factors affect the likelihood that a patent will be licensed. Using a 2010 national survey of academic scientists in the United States in which respondents were asked specific questions about 2006 patents for which they were listed as inventors, we find that the likelihood of licensing is significantly determined by individual factors including inventors׳ attitude towards commercialization of research, additional research conducted during patent review, and collaboration with industry scientists on the underlying research. Among institutional factors, university Technology Transfer Office׳s cost-saving measures positively influence licensing, but industry funding and TTO service effectiveness do not. We also identify two types of inventions: opportunity-based inventions are discoveries that are not foreseen patentable at the outset of projects; intention-based inventions occur on research projects that anticipate commercial outcomes before the start of research. Findings demonstrate that different individual and institutional factors contribute to licensing of these two different inventions. This study provides new insights into the process of commercialization of university inventions.     

Academic leadership and commercial activities at research institutes: German evidence

This paper focuses on entrepreneurship by academic leaders. With the use of patents, inventions, and spin‐offs to measure commercialization, and directors, research group leaders, and business owners as academic leaders, results, using a sample of more than 2,500 German researchers, show differences across academic leaders and commercialization. Findings for spin‐offs are different from those for patents and inventions. Academic leaders in sciences were more likely to commercialize. Doctoral degrees helped patents by business owners and spin‐offs by group leaders, whereas female business owners and female group leaders faced challenges patenting and inventing, respectively. For business owners, age increased the likelihood of patenting but lowered spin‐offs.     

专利文献在企业技术创新中的应用研究

专利文献是企业技术创新的重要信息来源,科学有效的使用,不仅可以极大地促进企业利用现有技术实现技术进步和创新,还能为企业发展提供法律保护、为经营战略实施提供帮助,使企业在技术竞争和市场竞争中赢得优势。     

The Context of Entrepreneurial Judgment: Organizations,Markets, and Institutions

The economics and management literatures pay increasing attention to the technological, competitive, and institutional environment for entrepreneurship. However, less is known about how context influences the judgment of entrepreneurs. Focusing on the emerging judgment‐based approach to entrepreneurship, we argue that economics can say much about how the organizational, market, and institutional context shapes entrepreneurial judgment. We describe entrepreneurs as individuals who deploy scarce, heterogeneous resources to service customer preferences at a profit. Because of uncertainty, this process is essentially experimental, and context influences the experimental process. Thus, entrepreneurs will seek to design the internal organization of the firm so that it facilitates internal experimentation. Moreover, the market or task environment determines the need for experimentation (e.g., how fast do consumer preferences change, how does technology evolve, which assets are available at which terms, etc.). Finally, the institutional environment influences, for example, the transaction costs of acquiring and divesting assets as firms adjust their boundaries through ongoing commercial experimentation.     

Valuing technological synergies in mergers

Technological synergy in mergers and acquisitions (M&As) is achieved when there is an increase in value generated by combining the stock of complementary technologies of acquirers and targets, as well as utilizing target’s patents to initiate or defend lawsuits against competitors. Using U.S. patent data, we provide quantitative measures of these two sources of technological synergy. We find that these measures of technological synergy are important considerations of acquiring firms and capital market in valuing target firms’ innovative assets, as the measures are positive determinants of merger premium and total synergy gain. The expected total gains of acquirers’ and targets’ shareholders from technological synergy decrease with the difficulties of post-merger integration as proxied by geographical distance between acquirer and target. Our technological synergy measures are also good predictors of post-merger realized synergy, i.e., increase in patent outputs in the overlapped technology classes and market share.     

‘Repeat commercializers,’ the ‘habitual entrepreneurs’ of university–industry technology transfer

Among academic faculty, is there a class of ‘repeat commercializers’ who account for a disproportionate share of commercialized technologies arising from university research? In a survey of 172 engineering, mathematics, and science faculty members from a major Canadian university, we found evidence that a class of repeat commercializers does exist. Further, we found that the 12% of the faculty who are repeat commercializers account for 80% of the commercialized innovations. Interviews with repeat commercializers in the same faculties at the same university suggest that repeat commercializers parallel habitual entrepreneurs in that they have the ability to commercialize (i.e. the ability to generate and identify commercializable inventions and the ability to acquire resources for the commercialization of their inventions) and the aspiration to do so (i.e. commercialization-friendly attitudes). Since repeat commercializers account for such a large percentage of commercialization activity, it is important that programs and policies associated with technology transfer address the needs of this subpopulation of the faculty.     

Commercializing Open Science: Deep Space Communications as the Lead Market for Shannon Theory, 1960–73

Recent research on the commercialization of scientific discoveries has emphasized the use of formal intellectual property rights (notably patents) as a mechanism for aligning the academic and entrepreneurial incentives for commercialization. Without such explicit intellectual property rights and licensing, how is such open science commercialized? This paper examines the commercialization of Claude Shannon's theory of communications, developed at and freely disseminated by Bell Telephone Laboratories. It analyses the first 25 years of Shannon theory, the role of MIT in developing and extending that theory, and the importance of deep space communications as the initial market for commercialization. It contrasts the early paths of two MIT‐related spinoffs that pursued this opportunity, including key technical and business trajectories driven by information theory. Based on this evidence, the paper provides observations about commercializing open science, particularly for engineering‐related fields.     

Little Firms and Big Patents: A Model of Small‐Firm Patent Signaling

Patent strategies of small technology‐intensive firms are difficult to explain with standard incentive arguments based on intellectual property rights. This paper develops a rationale for patent filing as a disclosure strategy. We develop a two‐sender signaling game to study patenting incentives of two technology start‐ups to file in a large‐scale patent system with the goal to attract a user firm. Both start‐ups may decide to invest in costly modification of their patent application before filing. The paper identifies a separating equilibrium in which the high‐quality inventor files and so separates from its technology competitor. Of particular interest is the study of pooling and semi‐separating equilibria, as well as the impact of subsidies. We find that a higher quality of a country's inventions, reflected in the possible innovative steps and thus in higher expected profits for foreign user firms, may increase the chance of the relatively lower‐quality inventor to enter international technology markets.     

Open business models in entrepreneurial stages: evidence from young Spanish firms during expansionary and recessionary periods

This study examines the effect of open business models on the innovation performance of young firms during expansionary and recessionary periods. Founded on previous studies regarding innovation and business models, evidence shows that open business models developed by young firms will increase their innovation performance independently of economic conditions. Moreover, the theoretical effect of different types of collaborations (science-based, commercial, and diverse collaborations) adopted by young firms could differ during diverse economic periods. We tested this theoretical development using a Tobit analysis with firm level data collected from the Spanish Technological Innovation Panel (PITEC). The total number of observations corresponds to 318 young Spanish firms in 2005 (expansionary period) that remained active in 2011 (recessionary period). Our results indicate that in expansionary periods, young Spanish firms benefit from open business models oriented toward diverse types of cooperation (even though commercial collaboration harms innovation performance), whereas in recessionary periods, commercial and diverse technological collaborations encourage young Spanish firms to exploit innovation benefits.     

Determinants of licensing activities of local public technology centers in Japan

Local public technology centers are publicly managed institutions that facilitate technology transfer to small local firms. As well as providing small local firms with various technological services, local public technology centers conduct their own research and patent inventions. This study examines factors facilitating licensing activities and finds that the determinants vary according to the phase of technology transfer. Employing more Ph.D. scientists tends to promote the licensing of patents, while organizational efforts that encourage scientists to better understand the technological needs of small local firms tend to increase royalty revenue. The theoretical and practical implications of the results are discussed.     

A Test of the Resource-Based Model Using Baseball Free Agents

This paper examines a nearly untested premise of the resource-based view of the firm: managers can exploit uncertainty about a factor's true value to generate returns. Our results show that empirically validating this basic proposition is difficult and potentially impossible, despite our use of a rather simple empirical setting. While market imperfections appear to underlie the payment of baseball free agents, we cannot easily determine whether this imperfection constitutes a return or not. In addition, while we find convincing evidence of uncertainty underlying owner's expectations of a free agent's performance potential, it is not clear whether team owners can exploit this uncertainty by amassing superior informational strategies or investing in complementary assets. Our difficulty in testing resource-based propositions suggests limitations to the theory's practicality.     

The effects of ambiguity on entrepreneurship

We incorporate ambiguity (Knightian uncertainty) into a classic model of entrepreneurship to analyze, among other things, its effects on the optimal level of business startups, the relation between total assets and the size of the entrepreneurial investment, the effects of increasing ambiguity on developing new ventures, and the decision to self‐select into entrepreneurship for an indifferent decision maker. We first show that, under the monotone‐likelihood ratio property, the introduction of ambiguity negatively affects the optimal entrepreneurial investment, something that is consistent with most experimental evidence about entrepreneurial choice under ambiguity. Then, we show that the classical explanations for the positive correlation between total assets and business startups based on decreasing absolute risk aversion preferences and prudent behavior can be challenged when ambiguity is incorporated into the analysis, and we provide the conditions that guarantee that the traditional comparative static result under risk is replicated under ambiguity. We also show that increases in ambiguity aversion reduce entrepreneurial activities. Finally, we discuss our results under alternative ways of modeling ambiguity.     

Boosting environmental management: The mediating role of Industry 4.0 between environmental assets and economic and social firm performance

The adoption of new innovative ecosystems linked to Industry 4.0 (I4.0) in industrial firms has created new opportunities for performance. In this study, we investigate whether I4.0 can reinforce environmental asset management in achieving firm economic and social performance. We intend to contrast the existence of I4.0-based reward mechanisms for being green. Using a panel of 1028 Spanish industrial firms in 2009–2016 period and a partial least squares structural equation modelling econometric methodology, the research has obtained two main results. First, the management of environmental assets generates positive effects on the economic and social performance of the industrial firm. Second, research findings confirm the mediating role of I4.0, which ends up reinforcing the relationship between environmental assets and the economic and social firm performance. The results obtained highlight the importance of complementary relationships between digital and environmental transformation to promote firm performance. Implications for firm strategy and business models are also discussed.     

Comment: further sufficient conditions for an inverse relationship between productivity and employment

Extant empirical studies document that productivity gains due to technological progress often lead to reductions in employment. This paper rationalizes the stated empirical finding within the context of the theory of the competitive firm under price uncertainty. We show that technological progress affects employment adversely if the firm’s coefficient of relative risk aversion is no less than unity and its production technology exhibits non-decreasing returns to scale. On the other hand, technological progress unambiguously increases output if the firm’s preference has non-increasing absolute risk aversion.     

实时财务报告技术采纳与资本成本——基于“创新接受”视角的理论模

在资本市场中,公司与其对手为获得更低的资本成本展开竞争。为了达成目标,公司都尝试采用新的信息技术来提高信息披露的透明度。扩展组织"创新接受"理论的内容并整合影响实时财务报告技术采纳和资本成本的主要因素,利用数学模型建构两者之间的约束关系,结果发现,资本成本的节省、不确定性、风险规避、交易、转换成本以及公司治理政策等都对公司何时以及是否采纳实时财务报告技术产生影响。     

Knowledge spillovers in US patents: A dynamic patent intensity model with secret common innovation factors

During the past two decades, innovations protected by patents have played a key role in business strategies. This fact enhanced studies of the determinants of patents and the impact of patents on innovation and competitive advantage. Sustaining competitive advantages is as important as creating them. Patents help sustaining competitive advantages by increasing the production cost of competitors, by signaling a better quality of products and by serving as barriers to entry. If patents are rewards for innovation, more R&D should be reflected in more patent applications but this is not the end of the story. There is empirical evidence showing that patents through time are becoming easier to get and more valuable to the firm due to increasing damage awards from infringers. These facts question the constant and static nature of the relationship between R&D and patents. Furthermore, innovation creates important knowledge spillovers due to its imperfect appropriability. Our paper investigates these dynamic effects using US patent data from 1979 to 2000 with alternative model specifications for patent counts. We introduce a general dynamic count panel data model with dynamic observable and unobservable spillovers, which encompasses previous models, is able to control for the endogeneity of R&D and therefore can be consistently estimated by maximum likelihood. Apart from allowing for firm specific fixed and random effects, we introduce a common unobserved component, or secret stock of knowledge, that affects differently the propensity to patent of each firm across sectors due to their different absorptive capacity.     

Process-based vs. product-based innovation: Value creation by nanotech ventures

Nanotechnology is frequently heralded as the next wave of technological advance, poised to enable radical innovation across many industries. But as yet little is known about how firms will ultimately create that value. We do know that nanotechnology is based on process innovation, a category of innovation less well understood than product innovation. And we know that new ventures are an important vehicle for commercializing radical technology. As new ventures seek to commercialize nanotechnology, they evolve value creation strategies to better link fundamental scientific advance with the creation of value for users and investors. This paper asks “How do the successful value creation strategies of technology ventures differ in process vs. product-based innovation?”An investigation of 12 ventures representing the extremes of value creation through process-based (nanotech) and product-based (fuel cell) innovation reveals significant differences in their value creation challenges, in the mechanisms of technology–market matching and alliance building, and in their levels of experimentation. Ventures exploiting process innovation faced greater uncertainty in their value chain positioning, market breadth, customization, and the changes required of their customers in contrast to product-based ventures. Our evidence shows that nanotechnology ventures benefit from prioritizing technology–market matching, alliance building and experimenting with technologies in new value networks.     

The economic value of patent portfolios

Patent holders may choose to protect innovations with single patents or to develop portfolios of multiple, related patents. We propose a decision‐making model in which patent holders allocate resources to either expanding the number of related patents or investing in higher value of patents in the portfolio. We estimate the derived value equation using portfolio value data from an inventor survey at the level of individual inventions rather than the firm as a whole. We find that investments in individual inventions exhibit diminishing returns, and that a good part of the value of a portfolio depends on adding new patented inventions. Also, while diminishing returns to individual inventions are stable across subsamples, the returns to portfolio size vary between complex and discrete industries, and between inventions that are science‐based or driven by customer information. When firms seek to strengthen appropriability, the returns to an increase of portfolio size are not different from the sample average. Thus, a higher number of inventions in a portfolio may reflect both stronger appropriability via patents and genuine creation of value.