The impact of technological relatedness, prior ties, and geographical distance on university-industry collaborations: A joint-patent analysis

Empirical studies on R&D collaborations between universities and firms have mainly centered their attention on universities and firms' characteristics that favor the establishment of collaborative agreements. In this paper, I extend the current research framework investigating the role that specific technological and relational attributes may play on the relevance of such collaborations. Specifically, I focus on the effects exerted by three relevant factors, namely technological relatedness, prior collaboration ties, and geographical distance, on university-industry joint innovation value. I develop testable hypotheses about their impact on the innovative performance of R&D university-industry collaborations, and test them on a sample of 796 university-industry joint patents, developed by 33 universities located in 12 different European countries. Our results suggest that partners' technological relatedness has an inverted U-shaped relationship with innovation value. In addition, prior ties and geographical distance between universities and firms are both positively related to the achievement of higher innovative outcomes.     

Entry into Insular Domains: A Longitudinal Study of Knowledge Structuration and Innovation in Biotechnology Firms

We focus on the firm's decision to enter insular technology domains and its effect on the impact that its subsequent innovation has on the field. Insular domains are technical domains that rely heavily on prior innovations within the same domain for subsequent innovations. We show that the returns to entering insular domains vary with the firm's depth and breadth of knowledge. By analysing data from 128 biotechnology firms over a 20‐year period, we find that the relationship between depth of technological capabilities and technology impact is nuanced: depth is necessary but not sufficient for high impact innovation. Firms whose knowledge is spread over disparate domains have negative returns from entering insular domains. The implications of these findings for theories of innovation and the discovery of entrepreneurial opportunities are discussed.     

Firm performance and knowledge spillovers from academic, industrial and foreign linkages: the case of China

Firm performance may be enhanced by linkages with academic institutions, other firms, and foreign markets that confer knowledge spillovers as well as internal R&D that creates firm-specific knowledge. In particular, firm productivity and innovation may be enhanced by positive externalities from knowledge and technology produced by universities and research institutions (URIs) and diffused to the domestic economy. Productive contributions from such linkages might be particularly expected in China, where policy measures have explicitly supported and facilitated connections between URIs and firms to stimulate economic development and competitiveness. In this paper, we measure the performance impact of such knowledge spillovers in Chinese firms by using a variety of specifications, estimators, and robustness checks, including an ??instrumental variable?? specification that controls for endogeneity. We find more patent activity in Chinese firms with URI connections and enhanced firm productivity particularly from linkages with research institutions (RIs). Introduction of new products, processes, and new businesses is also positively associated with linkages with research institutions, as well as with linkages with other firms.     

Knowledge Spillovers,Competition and Innovation Success

We study the relationship between a patent-based measure of knowledge spillovers that calculates technological proximity based on technologically relevant firms and innovation success. We find – for a representative sample of Swiss firms – that knowledge spillovers have a positive and significant association with the commercial success of innovative products. The paper shows the importance of market conditions for the relationship of spillovers with innovation performance: It is only positive and significant in markets with a medium number of competitors in the main product market, but not in monopolistic or polypolistic market structures.     

On the way to creativity: Engineers as intrapreneurs in organizations

Organizations often hide creativity and talent. This paper describes how to make engineers active in the field of intrapreneurship within large firms where they often are employed in R&D. This development is seen, in Europe at least, most desirable by the companies today. Technology has an extensive impact on the society and economy nowadays, and it is important to study how technological innovations appear and who is behind them. Entrepreneurship and organizational intrapreneurship are, in many cases, the basis of technological innovations and firm renewal. Engineers are the company's special professional workforce that has the role to produce and develop innovations. Since the world of high-tech companies needs the cooperation of many experts, engineers must be able to cooperate well with other fields of expertise such as marketing, research and development as well as external suppliers and service providers. Also, innovations today often ask not only for unique technical knowledge but also social knowledge to make these innovations meaningful. In this sense, social innovation parallels technical innovation. Thus, in this paper we explore the origins of the intrapreneurship capacity in engineering settings of hightech firms, thereby concentrating on three issues: Who is the intrapreneur and the engineer-intrapreneur in particular? What kind of managerial and organizational support is required to facilitate the intrapreneur's upcoming? What are the educational and work related consequences for practical intrapreneurship tool development?     

Encouraging organizational performance through the influence of technological distinctive competencies on components of corporate entrepreneurship

Firms’ technological distinctive competencies (TDCs) help CEOs to confront their reality based on technological knowledge to achieve and exploit competitive advantage by encouraging the different dimensions of corporate entrepreneurship (innovation, new business venturing, proactiveness and self-renewal). The main purpose of this paper is thus to highlight how companies that strive to improve technological competencies within the firm achieve higher organizational performance through different components of corporate entrepreneurship and their interrelationships. This study seeks to fill this research gap by analyzing theoretically and empirically how TDCs enhance innovation, new business venturing and proactiveness and their interrelationships to achieve self-renewal and thus improve firms’ organizational performance. The methodology used is LISREL analysis. We test the model with data from 201 Spanish organizations. Our research contributes theoretical and empirical arguments on the value of TDCs to the organization, arguments that are especially important because organizations sometimes fail to achieve sustainable competitive advantage due to their limited understanding of the relationships between these strategic variables.     

Heterogeneity and Specificity of Inter-Firm Knowledge Flows in Innovation Networks

abstract    Literature on innovation networks reveals little of to what extent different types of knowledge are exchanged and combined by collaborating firms to foster innovation. Based on field research in the aerospace industrial cluster of Rome, this study investigates the exchange of technological, market and managerial knowledge. Using social network analysis, the paper shows that the three types of knowledge are unevenly distributed and exchanged, thus revealing that the process of exchange is knowledge-specific. Further, it is found that in most collaborative relationships, partners exchange technological knowledge together with market and managerial knowledge, emphasizing the complex nature of the innovation process which requires access to and recombination of diverse knowledge. This phenomenon concerns not only large companies, but also small-to-medium enterprises. The reconsideration of the relative salience of the three types of knowledge has remarkable managerial and theoretical implications, which are developed in terms of propositions offered for further research.     

Corporate diversification and innovation: Managerial myopia or inefficient internal capital markets?

Which is more innovative: the decentralized, diversified firm, or the centralized, more narrowly focused firm? The economics and finance literatures argue that diversified firms have innovation advantages as their operating units have access to an internal capital market. In contrast, the strategy and entrepreneurship literatures argue that managers of these firms suffer from “managerial myopia,” discouraging them from investing in projects with long-term, uncertain payoffs. We take a fresh look at the relationship between innovation and diversification using a comprehensive sample of diversified and nondiversified firms and a novel approach that teases out the mechanisms influencing the relationship between diversification and innovation. Consistent with conceptual and empirical work in strategy, we find a robust negative correlation between diversification and R&D intensity, suggesting that diversification reduces innovation by discouraging investment. However, our analysis suggests that internal capital market inefficiencies, rather than managerial myopia, is responsible for this observed negative relationship.     

Innovation,external technical linkages and small firm commercial performance: an empirical analysis from Western New York

This paper examines the role of external service linkages in the innovation and market peformance of small manufacturing firms (SMFs). Survey data from a technological cross-section of 146 Western New York SMFs are summarized. The data suggest a helpful role for consultants in the product development efforts of innovative firms, especially those that serve foreign export markets. Several multiple discriminant models are presented, each of which suggests an interactive connection between SMF commercial performance, externa) technical links, innovation propensity and in-house R&D. It is argued that innovative SMFs that exploit specialized technical services perform significantly better than comparably sized firms that rely solely on in-house resources. It is also argued that the quality of a region's producer service environment may have a significant bearing on the growth potential of its SMF population. The paper concludes by discussing the main academic and public policy implications that flow from the empirical results.     

Innovation in food firms: contribution of regional networks within the international business context

This paper explores the role of regional networks in processes of innovation within an international business context. It is hypothesized that firms participating in regional networks demonstrate a stronger innovation competence. Data are drawn from a survey among food firms in the region of Meetjesland, Belgium, and reflect the relation between the firm and a number of regional characteristics. After restructuring the data through factor analysis and cluster analysis, the important role of regional networking is revealed using discriminant analysis. The analysis marks out two factors having the strongest power to discriminate between the clusters: firms are classified as having a stronger innovation competence when networking within the region, and when orienting towards the international market. Results demonstrate that internationally operating firms benefit from regional networking. Further, it is argued that regional networking is not contradictory to an international market orientation, and that firms gain innovation competence by searching for external knowledge on different geographical scales. As these networks have the potential to enhance the innovation competence of firms, support to regional networking is promoted as a policy tool.     

Technological opportunity and the relationship between innovation output and market structure

This study examines influences of technological opportunity on the relationship between market structure and the innovation output of different‐size firms. A simultaneous‐equations model is specified and estimated separately for technologically progressive and technologically unprogressive industries. The study finds that innovation activities of small firms and large firms bear different relationships to market structure, in part resulting from interindustry differences in technological opportunity. In technologically progressive industries, innovation output (especially of small firms) is lower in the presence of high concentration and is increased substantially by high R&D intensity. Large‐firm innovation output has a positive effect on industry concentration, but only in technologically unprogressive industries. Copyright © 2005 John Wiley & Sons, Ltd.     

后发企业“逆向创新”成功因素研究——以海尔“小小神童”系列产品创新为例

本文通过对海尔“小小神童”洗衣机产品逆向创新的案例分析,总结了后发企业取得逆向创新成功的若干重要影响因素,即：选择同领先企业技术势差较小的产业领域,后发企业实现逆向创新的机会更多;后发企业在逆向创新过程中,必须充分发挥具有本土比较优势的创新资源要素;后发企业在逆向创新过程中需要依靠开放创新策略、技术与市场和管理创新紧密协同的策略支撑。     

Exploitation- and exploration-based innovations: The role of knowledge in inter-firm relationships with distributors

Learning capacity is a critical factor for a firm’s innovation and competitiveness. This study explores the issue of how knowledge in inter-firm relationships with distributors influences manufacturers’ exploitation- and exploration-based innovations and performance. The empirical model examines the effect of three different types of knowledge-related issues in inter-firm relationships: (i) the acquisition of substantial knowledge (about products, technology, or markets) from distributors; (ii) the learning about collaborating with each distributor as the relationship evolves; and (iii) the general firm’s knowledge about managing distributors. A model of learning—innovation—performance is developed and tested in a sample of 201 firms in the food and beverages sector. The results reveal that: (i) knowledge about managing distributors promotes continuous learning from them; (ii) learning to collaborate is critical, as it favours knowledge acquisition and both types of innovations (exploitation- and exploration-based); (iii) learning from distributors weakens firms’ tendency to stress one type of innovation strategy over another; and (iv) knowledge in inter-firm relationships with distributors affects performance in a completely mediated way, that is, through innovation. Theoretical and managerial implications of these findings are discussed in the conclusion of the paper.     

Forecasting innovation performance via neural networks—a case of Taiwanese manufacturing industry

In the ‘knowledge economies’ era, most managers have discovered that technology can be considered as the key asset in sustaining the competitive advantage of their corporations. Many researchers have tried to discuss the relationships between technological performance and other influential factors, such as strategic management, information resources, etc. But they do not mention the issues concerning how each dimension influences innovation performance and how to forecast innovation performance based on these dimensions. This study presents a forecasting model that predicts innovation performance using technical informational resources and clear innovation objectives. Specifically, we propose a neural network approach, which utilizes the Back-Propagation Network (BPN) to solve this problem. Also we examine the results and compare them to those attained using the statistical regression method. The result shows that the BPN method outperforms the statistical regression method as far as forecasting performance concerned. With this method, a decision maker can predict innovation performance and adjust allocated resources to match his/her company's innovation objectives.     

Do major customers encourage innovative sustainable development? Empirical evidence from corporate green innovation in China

This paper examines the impact of customer concentration on green innovation in Chinese listed firms between 2006 and 2018 through the dynamic panel generalized method of moments regressions. It is reported that major customers positively impact corporate green innovation, indicating that firms have more incentives to engage in innovative green practices to maintain stable relationships with major customers. In addition, the positive relationship between customer concentration and green innovation is more pronounced in state-owned enterprises, firms located in the provinces with a high level of marketization, and after China's new Environmental Protection Law implementation. Moreover, we observe that the positive impact of customer concentration on corporate green innovation is more significant among industrial firms and firms operating in heavily polluting industries. Furthermore, industrial competition is an essential channel for major customers to affect corporate green innovation.     

Knowledge sharing in supply chain networks: Effects of collaborative innovation activities and capability on innovation performance

Building on knowledge management and innovation capability theories, this paper aims to reveal the mechanisms of collaborative innovation processes by investigating the complex relationships among critical factors influencing firm's innovation performance in supply chain networks. Using hierarchical Multiple Regression (MR) and Moderated Multiple Regression (MMR) methods, results from a survey of 236 firms in China indicated that there are significant positive relationships between collaborative innovation activities, knowledge sharing, collaborative innovation capability, and firm's innovation performance. Moreover, it is expected that knowledge sharing plays a partial mediating role in the relationships between collaborative innovation activities and firm's innovation performance. Collaborative innovation capability exhibited a moderating effect on collaborative innovation activities - innovation performance relationship. These results contribute to collaborative innovation process management by offering a nuanced conceptualization of the collaborative innovation - performance relationship in supply chain networks.     

Green management,firm innovations,and environmental turbulence

The multifaceted nature of firm innovation has prevented researchers from fully explaining the relationship between firm innovation and green management. This study, building on the Schumpeterian theory of innovation, explores this relationship by examining three major types of firm innovation—strategic innovation, managerial innovation, and product innovation—and their respective relationships with green management, considering several dimensions of environmental turbulence as distinctive boundary conditions. We propose that both strategic innovation and managerial innovation facilitate green management, which in turn mediates these effects on new product performance. The results of a survey of 303 Chinese firms provide strong support for this mediating logic. Moreover, we find that market turbulence weakens the effect of strategic innovation on green management whereas technological turbulence strengthens such effect but the effect of managerial innovation on green management is not influenced by environmental turbulence. Our research contributes to the innovation as well as green management and sustainability literatures by offering a framework in which to analyze firm innovation and green management and by showing how firms pursue sustainability and prosperity under specific environmental conditions.     

How agglomeration affects alliance governance and innovation performance: The role of cluster size

We investigate how the size of the geographic cluster in which a firm is located influences its governance choice between equity and non-equity alliances and subsequent innovation performance. We argue that firms located in larger clusters tend to form non-equity alliances rather than equity alliances because the communication and control benefits of cluster membership, which increase with cluster size, reduce in-cluster firms' need to form equity alliances. We also claim that the effect of this preferential use of non-equity alliances on innovation becomes stronger when firms are located in larger clusters. Our arguments are supported by a panel analysis of alliances formed by US-listed semiconductor firms.     

Relationships among open innovation,innovative performance,government support and firm size: Comparing Brazilian firms embracing different levels of radicalism in innovation

This work extends knowledge concerning the relationships among open innovation, innovative performance and government support for innovation within Brazilian firms. Data were obtained from two different firm samples (Sample A, on incremental innovation, and Sample B, on radical innovation). The main research results are as follows. First, in considering government support for innovation, Sample B, based on radical innovation, played a superior and stronger role than Sample A. Secondly, for both samples, the cooperation of external firms has a positive effect on firms’ innovative performance, which was positively controlled by the size of the firms. Thirdly, in general, radical innovation requires synergy and a more intense focus regarding the constructs considered therein. This work also adds value in methodological terms, as this is the first research to have tested different models of samples with different levels of radicalism in innovation.     

中国高校人力资源管理创新绩效评价研究

利用DEA方法对我国2005-2009年的高校人力资源管理创新绩效进行了评价和分析,并运用Malmquist生产率指数对其绩效变动进行了测算。结果显示,我国高校人力资源管理创新绩效水平较为低下,纯技术效率低下是其主要原因;全要素生产率呈现较为显著的增长趋势,技术效率水平提高是引致TFP增长的主要原因,而技术进步对TFP有负面效应;我国高校人力资源管理创新绩效水平存在较为显著的省际和区域差异。