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.     

University-industry innovation collaboration: Reconceptualization

This study investigates university-industry (U-I) innovation collaboration and proposes a renewed and empirically tested conceptual approach to analyse it. The motivation for the research emerged from the realisation that the majority of studies on university-industry innovation collaboration on organisational level present limited verification of why some seemingly similar collaboration projects fail while others thrive. Therefore, we aimed for reconceptualization of the way university-industry collaboration is analysed by developing the respective approach that was empirically tested via multiple case-study research of 12 cases. The approach combines elements of the U-I collaboration literature with a model of interaction from semiotics and boundary-crossing ideas from organisation theory. The novelty of this approach lies in explaining the heterogeneity and variation of U-I collaboration on individual level. The interaction model from the semiotics enables distinct U-I collaboration patterns to emerge. In a two-dimensional model it becomes clear that choosing the appropriate partner for potentially successful collaboration means matching the levels of preconditions between partners. The main contribution of this study is twofold: an interdisciplinary approach for analysing U-I collaboration using a multiple case-study research design and the explanation of relevant preconditions – individual rather than institutional levels of motivation and absorptive capacity – as critical aspects that determine the likelihood of the success or failure of such collaboration.     

Capabilities that enhance outcomes of an episodic supply chain collaboration

Firms are increasingly dependent on the knowledge and expertise in external organizations to innovate, problem-solve, and improve supply chain performance. This research examines two capabilities that enable firms to collaborate successfully as a means to combine knowledge and expertise in an episodic collaboration initiative. Building from two theoretical foundations, the knowledge-based and relational views of the firm, we examine the effects of absorptive capacity and collaborative process competence on the outcomes of an episodic collaboration initiative. Using structural equation modeling, we empirically validate the positive effect of absorptive capacity, collaborative process competence and level of engagement on the operational and relational success of a collaboration effort. Results show that collaborative process competence mediates the relationship between absorptive capacity and collaborative engagement, and positively influences both operational and relational outcomes. Finally, we offer suggestions for managers to improve the effectiveness of inter-firm collaboration initiatives and discuss future research opportunities.     

Absorptive capacity—one size fits all? A firm‐level analysis of absorptive capacity for different kinds of knowledge

This paper empirically analyzes the effect of R&D activities, human resource and knowledge management, and the organization of knowledge sharing within a firm on the absorptive capacity of innovative firms for three different types of knowledge, namely absorptive capacity to use knowledge from a firm's own industry, knowledge from other industries and knowledge from research institutions. Using data from the German innovation survey, we investigate how firms are able to exploit knowledge from external partners for successful innovation activities. The estimation results show that the determinants of absorptive capacity differ with respect to the type of knowledge absorbed for innovation activities. In particular, we find that the R&D intensity does not significantly influence absorptive capacity for intra‐ and inter‐industry knowledge. Additionally, our results suggest that absorptive capacity is path dependent and firms can influence their ability to exploit external knowledge by encouraging individuals' involvement in a firm's innovation projects. Copyright © 2009 John Wiley & Sons, Ltd.     

Investment Frictions and the Aggregate Output Loss in China

Investment frictions reduce, delay or protract investment expenditure that is necessary for firms to capture growth opportunities. Using a capital adjustment costs framework, this article estimates the gap between China's actual and frictionless aggregate output. It applies the method of simulated moments to a fully structural investment model on a panel of Chinese firms and takes into account potential unobserved heterogeneities and measurement error in the data. The estimated capital adjustment costs imply that if Chinese firms had faced a lower level of adjustment costs such as in the US, China's aggregate output would be 25% higher.     

Green Knowledge Sharing,Stakeholder Pressure,Absorptive Capacity,and Green Innovation: Evidence from Chinese Manufacturing Firms

A central issue faced by many Chinese manufacturing firms is how to absorb and utilize green knowledge shared among supply chain members for superior green innovation. Invoking the indirect research stream of organizational learning theory, we develop a moderated mediation model in which absorptive capacity mediates the interactive effects of green knowledge sharing and stakeholder pressure on green innovation. Our hypotheses were tested using a sample of 247 Chinese manufacturing firms. The results from multiple regression and bootstrapping tests reveal that absorptive capacity fully mediates the link between green knowledge sharing and green innovation, and the mediation effect is positively contingent upon stakeholder pressure. These findings provide managerial implications for Chinese manufacturing firms, recommending that these firms effectively develop their absorptive capacities and closely monitor stakeholder pressure to realize the green innovation benefits of green knowledge sharing.     

Obtaining collaboration benefits: the role of collaboration-specific investment and absorptive capacity in China

This study examines the role of collaboration-specific investment and absorptive capacity on the attainment of interorganizational collaboration benefits. Grounded in the extended resource-based view, and using survey data from Chinese executives, we study the driver for, and test the impacts of, collaboration-specific investment and organizational learning on collaboration performance. Our findings indicate that resource similarity between the collaborative partners affects the level of collaboration-specific investment and learning, and demonstrate an approach that firms can use to obtain both abnormal common and private benefits from participation in an interorganizational collaboration. Specifically, the findings suggest that collaboration-specific investment has a direct effect on the enhancement of absorptive capacity and attainment of common and private collaboration benefits. Furthermore, due to the direct effect of absorptive capacity on attainment of collaboration benefits, commitment of collaboration-specific investment has an indirect effect on the attainment of common and private collaboration benefits. This study is the first to apply both the competence-capability framework and extended resource-based view to study interorganizational collaboration. In fact, this study aims to determine mechanisms for a collaboration-participating firm to obtain more benefit, whether common or private. Our findings provide support for the importance of learning capability as a factor in the acquisition of collaboration benefits.     

Collaborative modes with Cultural and Creative Industries and innovation performance: The moderating role of heterogeneous sources of knowledge and absorptive capacity

Organizations can no longer be isolated entities in the current dynamic competitive environment but tend to establish alliances and networks with external parties. Recently, research has suggested that organizations develop collaborative modes with Cultural and Creative Industries (CCIs) to acquire and combine Heterogeneous Sources of Knowledge (HSK) within their organizational environment. Innovation thus becomes increasingly generated by a cross-process involving a diverse set of industries. Nevertheless, few studies have assessed how knowledge from distant industries, such as CCIs, can affect firms’ innovation performance. Accordingly, this empirical research on a sample of 187 firms evaluates whether formal and informal collaboration modes with CCIs affect innovation performance. Moreover, it assesses the moderating role of both HSK and absorptive capacity. In particular, it aims to answer the following questions. What are the effects of collaboration modes with CCIs on firms’ innovation performance? What are the differences (in terms of effects) between Formal Collaboration Modes (FCMs) and Informal Collaboration Modes (ICMs) with CCIs on firms’ innovation performance? Do heterogeneity of knowledge sources and absorptive capacity increase the possibility of benefiting from FCMs and ICMs with CCIs in terms of innovation performance? The results contribute to the theory indicating that HSK are important to benefit from knowledge from CCIs, while absorptive capacity does not fulfil the same role.     

The influence of supply network structure on firm innovation

In this study, we examine the structural characteristics of supply networks and investigate the relationship between a firm's supply network accessibility and interconnectedness and its innovation output. We also examine potential moderating effects of absorptive capacity and supply network partner innovativeness on innovation output. We hypothesize that firms will experience greater innovation output from (1) higher levels of supply network accessibility and supply network interconnectedness, (2) the interaction between the levels of these two structural characteristics, (3) the moderating role of absorptive capacity on supply network accessibility and the moderating role of supply network partner innovativeness on supply network interconnectedness. Supply network partner relationships are drawn in the context of the electronics industry using data from multiple sources. We use social network analysis to create measures for each supply network structural characteristic. Using regression techniques to test the relationship between these structural characteristics and firm innovation for a sample of 390 firms, our findings suggest that supply network accessibility has a significant association with a firm's innovation output. The results also indicate that interconnected supply networks strengthen the association between supply network accessibility and innovation output. Moreover, the influence of the two structural characteristics on innovation output can be enhanced by a firm's absorptive capacity and level of supply network partner innovativeness. By addressing the need for deeper structural analysis, this study contributes to supply chain research by accounting for the embedded nature of ties in supply networks, and showing how these structural characteristics influence the knowledge and information flows residing within a firm's supply network.     

Creating innovative opportunities through research collaboration: An evolutionary framework and empirical illustration in engineering

This paper analyses the creation of innovative opportunities through research collaborations. It contributes by (i) providing an evolutionary conceptual framework for the formation and exploitation of innovative opportunities through research collaboration; and by (ii) providing an empirical illustration of this framework by applying it to a case study of firms׳ research collaboration taking place in university–industry research centers in engineering. The evolutionary framework developed specifically focuses on the generation of novelty and variety and on selection pressures as key for the creation of opportunities. It also emphasizes the differences between small and large firms when it comes to role of research collaboration for opportunity creation. Empirically, we illustrate that firms in general focus more on the generation of variety in the form of (fundamental) knowledge, than on research collaboration leading directly to the formation and exploitation of opportunities. For large firms, the focus is rather to transfer this created variety back to the firm, to use for inputs into the in-house creation of opportunities. In contrast, small firms focus instead on using research collaboration to generate and develop knowledge about customer needs in order to create market opportunities, especially through networking with large firms participating in the collaboration.     

Bridging the cultural divide: Trust formation in university–industry research collaborations in the US,Japan, and South Korea

Academia and industry increasingly work together, but this is not always an easy endeavor. In this article we investigate how relational mechanisms facilitate trust formation in university–industry research collaborations (UICs) in three countries and contribute to the understanding of international similarities and differences in UICs by considering institutional factors, specifically, the strength and maturity of UICs in each country. Analyzing survey data of 618 recent UICs in the US, Japan, and South Korea, we identify the activities of innovation champions as a critical trust building mechanism between firms and universities that complements initial trust formation through tie strength, partner reputation, and contractual safeguards. We find that partner reputation and champion behavior are more important for trust formation in South Korea than in the US and Japan, indicating that in ‘emerging UIC countries’ where most firms and universities have little collaboration experience, reputation and the leadership by innovation champions are more important for trust formation in UICs than in ‘advanced UIC countries’ with strong and mature UIC networks. From a public policy perspective, our findings suggest that networks between firms and universities should be generally strengthened and collaboration partners should be provided with effective contractual safeguards to enhance trust formation in UICs.     

A knowledge sharing framework for black,grey and white box supplier configurations in new product development

Managing supplier collaboration is increasingly cited as a key success factor in new product development (NPD) performance. Knowledge sharing between customer and supplier is a critical issue to manage collaboration but one which has only been partially investigated in the inter-organisational NPD context. This means that the specific characteristics of knowledge sharing according to the three classical supplier involvement configurations (black box: design is supplier driver, grey box: joint design and white box: design is customer driven) are still largely unknown. This research proposes to fill this gap by presenting a conceptual framework for knowledge sharing according to the supplier involvement configuration. Knowledge sharing integrates knowledge transfer, translation and transformation. A qualitative methodology based on cross-case comparisons of six projects in two companies is used. This research shows that the dynamics of knowledge sharing depend on each configuration. Thus, for black box projects, knowledge translation is a prerequisite for knowledge transfer. For grey box projects, knowledge transfer and translation are initiated simultaneously in a continuous loop. For white box projects, knowledge transfer is the key activity and potentially generates knowledge translation. The results suggest that managers should pay attention to translation activities which are critical for the success of co-development projects.     

Collaborative academic–industry SCM research and knowledge building

This empirical study represents the first attempt to explore how academics and practitioners engage each other in the Supply Chain Management (SCM) discipline, and provides a better understanding of collaborative SCM research between both parties. A two-pronged approach, involving a content analysis and an e-mail survey, is employed to explore the issues on collaborative SCM research. We examine 131 articles co-authored by both scholars and practitioners of 6 SCM journals from 2003 to 2013. Specifically, we analyse the motivations, expectations, and communication involved in the process of collaborative research. Our findings suggest that academics and practitioners can partner as co-investigators in research collaboration to better explore an array of SCM phenomena embedded in SCM practice. Further, building collaborative SCM knowledge relationships expedites collaboration and benefits SCM knowledge learning, transfer, and co-production. The development of practice-based scientific SCM knowledge is useful for SCM theory building and serves to bridge the gap between rigour and relevance.     

Preparing for distant collaboration: Antecedents to potential absorptive capacity in cross-industry innovation

Cross-industry innovation entails distinctive innovation opportunities and challenges according to the knowledge heterogeneity between the collaborating firms. This heterogeneity yields increases in organizational-level cognitive distance. Whereas recent theory suggests cognitive distance is positively related to exploratory innovation, too much distance can hinder efficient knowledge absorption and results in a reduced effect on novelty value. This paper focuses on the research question of how to build potential absorptive capacity for distant collaboration beyond established industry boundaries to gain radical rather than incremental results. To address this question, we mapped a cross-industry network using survey data on 215 bilateral cross-industry collaborations between firms from a variety of industries and captured cognitive proximity (the inverse of distance) in terms of overall knowledge redundancy between firms. This approach introduces a new method to infer organizational-level cognitive distance from network analysis. Subsequently, based on results from the network analysis, we examined coordination antecedents to potential absorptive capacity for cross-industry innovation with partners at moderate and high distance applying case study analysis. Our study revealed three alternative approaches to coordination antecedents that drive a firm?s potential absorptive capacity for distant collaboration. These findings extend research on absorptive capacity to the field of cross-industry innovation.     

国际软件外包中知识溢出与创新绩效关系研究——以吸收能力为中介变量

为了深入研究国际软件外包中的知识溢出与创新绩效之间的关系,文章引入吸收能力这一中介变量,通过在全国范围内对169家企业的调研,采用探索性分析法与多元线性回归方法对国际软件外包中知识溢出和创新绩效间的关系进行实证研究。结果表明知识溢出对企业的吸收能力具有正向影响,吸收能力对企业创新绩效具有正向影响;吸收能力在知识溢出与创新绩效之间的关系中扮演部分中介的角色。     

Investigating Collaborative R&D Using Patent Data: The Case Study of Robot Technology in Japan

The growing trend of collaborative R&D initiated by firms has been well documented. However, the evidences regarding basic questions such as the benefits of collaboration and the motives of firms are still mixed. The main novelty of this paper is to investigate these questions by using comprehensive patent data with a focus on information concerning inventors. We consider the case of robot technology in Japan since early 1990s and get the following results. First, collaboration with external research partners lead to a higher quality of the invention. Second, the determinants and motives, which encourage firms to engage in collaborative research, differ depending on the partner they are collaborating with. Copyright © 2011 John Wiley & Sons, Ltd.     

THE MEASUREMENT OF ABSORPTIVE CAPACITY FROM AN ECONOMICS PERSPECTIVE: DEFINITION,MEASUREMENT AND IMPORTANCE

This paper starts by recognizing that despite the importance of absorptive capacity, economists in particular have made only limited use of the concept. Most theoretical and empirical studies derive from other fields of research. Thus, the first task is to compare and contrast the different approaches taken in measuring absorptive capacity. The rest of the paper then sets out an example of how typically economists have proceeded, using nationally representative CIS data to measure absorptive capacity across a 10‐year period and investigating if it remains stable in the long term. This is followed by considering how firms’ characteristics vary across lower to higher levels of absorptive capacity and whether such capacity determines firms’ productivity performance across both goods and service industries. Our results show that relative to other influences, absorptive capacity as measured here — net of the impact of foreign‐ownership and human capital — has a substantial influence on exporting, innovation and undertaking R&D and thus consequently firm‐level productivity. Finally, there is a discussion of why governments should consider helping firms to boost their levels of absorptive capacity.     

The moderating effects of knowledge characteristics of firms on the financial value of innovative technology products

The development of innovative technology products is both costly and risky, and their economic value is highly uncertain. Based on a sample of 312 innovative technology products introduced between 1987 and 2006 in the U.S. and a long-horizon event study with control firms, we study the impact of innovative technology products on the long-term financial performance of a firm. In particular, we examine how the knowledge characteristics of the firm, which embrace its knowledge absorptive capacity, knowledge impact, and knowledge diversity, moderate such an impact. We find that on average an innovative technology product increases the firm's return on assets (ROA) (relative to control firms) by 2.18% in the second year after product introduction. However, the value of an innovative technology product varies with the knowledge characteristics of the firm that invented it. We find that the financial impact of technology products is stronger when firms have higher knowledge absorptive capacity, and more impactful and less diversified knowledge (as measured by patents). We classify firms into three categories based on their knowledge characteristics. We find that firms with a high knowledge fit increase their ROA by 4.55% after product introduction, while those with a low knowledge fit receive no benefit from the innovative technology products at all.     

The microfoundations of firms’ explorative innovation capabilities within the triple helix framework

In this paper we show how the triple helix model provides an organising regime within which participant firms can extend their capabilities for explorative innovation through funded collaborations with academia. In so doing, we adopt Felin et al.’s multi-level framework to examine the microfoundations of participant firms’ capabilities for explorative innovation in university partnerships. In our qualitative case study of a set of research projects that comprise a national research programme, we decomposed the microfoundations of the processes, interactions and the structures that facilitated the extension of member firms’ explorative innovation capabilities nurtured within each university-industry partnership. We explain the attitudinal and behavioural modifications of the firms’ individuals involved in the research project collaborations with university partners that aggregated into firm-level capabilities. Ultimately, we show that using a microfoundational lens allows for a deeper understanding of how triple helix programmes can influence the capabilities of firms for explorative innovation.     

Science-based entrepreneurship education as a means for university-industry technology transfer

This paper explores the potential of university-industry technology transfer through science-based entrepreneurship education (SBEE). The scientific literature focuses mostly on enabling university-industry technology transfer via university-industry collaboration in research, and not so much in (science) education. The paper identifies four strands of relevant literature for further theorizing SBEE principles to research its contribution to industry-technology transfer: 1. Embedding entrepreneurship education in universities; 2. Balancing theory and practice of entrepreneurship education; 3. Cultivating an entrepreneurial mindset through entrepreneurship education; and 4. Creating spin-offs through entrepreneurship education. One of the main theoretical contributions of this paper is, that SBEE is different from regular entrepreneurship education in its need for being firmly embedded in a science, technology and R&D environment, both within and outside the university. This is important in order to give SBEE students the opportunity to gain experience with handling the hurdles for successful university-industry technology transfer. The main empirical finding is that elements in the program, related to for example the balance between teaching entrepreneurship through theory and experiential learning, are not systematically covered. It means that fundamental questions such as: Can entrepreneurship be indeed taught? Which elements of entrepreneurship can be taught through theory, and which ones must be experienced in practice? are currently left unanswered. Systematic coverage of these questions enables a better exploitation of the possibilities that SBEE offers for university-industry technology transfer.