Customer and Supplier Collaboration in Green Product Innovation: External and Internal Capabilities

Firms collaborate in green product innovation to develop products with less environmental impact. These products typically use less energy, have lower emissions and incorporate more environmentally friendly materials. In an industrial setting, firms often collaborate along the supply chain with customers and suppliers. This paper focuses on external and internal capabilities that firms need when collaborating in green product innovation. The paper builds on data from five large industrial firms in ten case studies, in which these firms collaborate with customers and suppliers to innovate green products to an industrial market. External and internal capabilities are investigated. The study points to the importance of finding a suitable partner. Partners need to have environmental expertise and contribute knowledge or technology that is new to the firm. Firms need to combine relational capabilities, such as trust, with contractual agreements in collaborative innovations. The findings point to the importance of knowledge management with the partner as well as internally in the firm. The study shows that no partner collaboration operates in isolation but is situated in a network context. Copyright © 2018 John Wiley & Sons, Ltd and ERP Environment     

Absorptive Capacity,Research Output Sharing,and Research Output Capture in University-Industry Partnerships

At present, we have a very limited understanding of how the differences in partner absorptive capacity affect the distribution of innovative outcomes obtained in research-intensive collaborative projects. The current paper addresses this shortcoming by examining how firms and universities maintain the balance between the research output sharing and research output capture modes in their research partnerships. Through introducing a concept of the absorptive capacity gap, this study highlights the role of the relative/comparative dimensions of partner absorptive capacity in establishing the balance between relinquishing and taking control of the marketable innovative results achieved in university-industry collaborative projects. It offers a conceptual framework describing the joint impact of relative absorptive capacity and the absorptive capacity gap on the research output sharing/capture balance in university-industry collaboration. It also explores the potential shifts in this balance stemming from the influence of relationship-specific factors, such as mutual trust, positive prior ties, cognitive proximity, and cultural compatibility between the firms and universities. It concludes with theoretical and practical implications of the proposed framework for enhancing the knowledge-creating potential in university-industry collaboration.     

Knowledge Networks and Careers: Academic Scientists in Industry–University Links*

abstract Careers are central to our understanding of the knowledge creation dynamics of network organizations. Based on the example of R&D project collaboration between firms and universities, this paper examines the emerging forms of career models that support knowledge flows between organizations. It explores how some large firms in the high‐technology sectors have sought to break away from the limitations of internal R&D and firm‐based careers for scientists by engaging in external collaborative projects to gain access to the open knowledge networks of university researchers. It examines how the firms seek to forge close institutional ties with their university partners and develop network career structures in order to engage academic scientists in joint knowledge production. It argues that firms have sought to extend their human resource and knowledge boundaries into the established internal labour markets of the universities with which they collaborate, leading to the formation of a pool of joint human resources with work experiences and career patterns straddling the two sectors. The paper develops the concept of an ‘overlapping internal labour market’ to provide a conceptual bridge between internal labour markets and network organizations.     

A knowledge-based typology of university spin-offs in the context of regional economic development

Drawing on the literature pertaining to the role universities play in promoting technology transfer, this paper develops an insightful conceptualization of spin-off processes, and applies it to a current regional case study. The suggested typology of university spin-off/start-up firms is based on several variables, including the type of university sponsorship, university involvement in firm formation, the character of knowledge applied, and co-localization of the founders. The empirical case study is used to demonstrate the usefulness of this approach in analyzing spin-off firms, and their dynamics. The study is based on interviews conducted with university spin-offs/start-ups in the information technology (IT) sector located in the Kitchener and Guelph metropolitan areas. This region, which is home to the University of Waterloo – one of Canada’s premier science and technology universities – has experienced an impetus of spin-off processes originating from university research dating back to the 1970s.The results of our analysis expose several trends: Sponsored spin-offs are largely the result of particular university research projects, and apply specific knowledge inputs in the development of their initial core technology. Unsponsored spin-offs, which find their foundation in decentralized idea development outside of the university setting, almost entirely rely on generic broad knowledge bases for the development of innovative products and services, which have enabled the firm-formation process. Overall, it is surprising that even firms that have received some form of university support described the role the University of Waterloo had in their start-up process as marginal. The dynamic research approach applied in this study, which outlines the university’s changing role over time and the regional dynamics associated with spin-off firms, further demonstrates the potential of our typology. As such, our typology of university-related start-up/spin-off firms is designed to support studies concerned with the wider impact of universities on technology transfer and regional development.     

How knowledge links with universities may foster innovation: The case of a science park

The objective of this research is to evaluate how technological knowledge flows from universities may increase innovation by firms located in a science park. We propose that firms with the capacity to acquire and assimilate the knowledge provided by universities, mainly due to being academic spin-offs or having long-term relationships with them, receive more knowledge from universities. We also argue that firms located in central positions inside the local firm-network have access to a complementary source of technical knowledge. Empirical evidence gathered from the Madrid Science Park confirms that having long-term relationships with universities, based on both formal and informal interactions, is the most important means of obtaining technical knowledge from them. We also observed a positive relationship between the technological knowledge obtained from universities and the innovation carried out by firms. Finally, we confirmed that firms with a significant role as intermediaries between other co-located firms have a higher level of innovation even if they are not involved in relationships with the university.     

UNIVERSITY RESEARCH, INTELLECTUAL PROPERTY RIGHTS AND EUROPEAN INNOVATION SYSTEMS

Abstract This paper surveys the literature on university patenting. From the point of view of the economic theory of patents, it is argued that patenting knowledge developed by university researchers is paradoxical: patents are normally intended to stimulate knowledge development by providing property rights, but universities operate also under a different incentive scheme, i.e. they receive public funds to perform socially useful knowledge. In the debate surrounding the so‐called Bayh‐Dole Act in the USA, it has, however, been argued that patents on university inventions may be necessary to stimulate technology transfer from universities to private firms. The first part of the paper addresses two major questions. First, what is the economic logic of Bayh‐Dole, and, second, what were the effects on universities and the knowledge they develop? In the second part, the paper addresses the issue of whether ‘Bayh‐Dole‐like’ legislation would be beneficial for European countries. In a number of European countries, a suggestion has been made that this could enhance knowledge transfer from the public to the private sector. Using a new database resulting from a survey among patent inventors in six European countries, an assessment is given of the degree of university patenting in Europe. Because university researchers are often involved in patented inventions without the university being listed as a patent applicant, statistics based on the patent office databases alone often underestimate university patenting in Europe. The paper ends with a discussion of how this ‘European practice’ of university patenting affects public–private knowledge transfer in Europe, and how this compares to the effects of the Bayh‐Dole Act in the USA.     

Entrepreneurship and knowledge spillovers from the public sector

A compelling body of research has found that investments in knowledge from other firms and universities spill over to enhance the performance of entrepreneurial firms. This literature has shown that firm performance is positively related to investments in new knowledge by other firms and research universities. This paper addresses a gap in the literature by positing that public sector knowledge is also conducive to enhancing performance by knowledge intensive entrepreneurial (KIE) firms. Our findings suggest that the public sector provides a fertile source of knowledge for enhancing KIE firm performance.

     

基于知识网络的高校知识转移价值增值的影响因素研究

知识经济时代,高校的知识转移成为企业获取竞争优势的重要途径,越来越多的企业通过知识网络来共享和转移高校互补性知识,从而提升企业创造价值的能力。本文分析了知识网络中高校知识转移价值增值的传递过程,并进一步探讨了高校知识转移价值增值的影响因素,在此基础上构建基于知识网络的高校知识转移价值增值的影响因素模型,旨在为促进高校知识转移价值增值提供一种新的分析思路。     

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.     

Partner Type Diversity in Alliance Portfolios: Multiple Dimensions,Boundary Conditions and Firm Innovation Performance

Our research extends the current knowledge based view on the configuration of alliance portfolios and their deployment in different external knowledge environments. We study these alliance portfolios in a longitudinal sample (1996–2010) for over three thousand firms that operate in a large number of industries in the Netherlands. Our findings indicate that partner type variety and partner type relevance, as different dimensions of partner diversity in alliance portfolios, both have an inverted U‐shaped association with firm innovation performance. However, alliance portfolios characterized by both high partner type variety and high relevance cause inferior innovation performance. Different external knowledge environments, characterized by different levels of industry modularity and scope of knowledge distribution, moderate the inverted U‐shaped associations of partner type variety and relevance in alliance portfolios with firm innovation performance in opposing directions. While for partner type variety, a high level is found to be optimal in environments with greater modularity or broader scope of knowledge distribution, for partner type relevance it turns out that a low level is optimal under more modular industry conditions.     

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.     

Exploring networks of proximity for partner selection,firms' collaboration and knowledge exchange. The case of clean‐tech industry

Nowadays scholars widely recognize that know‐how, capabilities and knowledge needed to generate innovations often reside outside the firm, start‐ups are a valuable source, and collaborative networks are a fundamental strategy for innovation. This is true especially for the clean‐tech sector, which is characterized by the continuous search for innovative solutions and technological advancements. The purpose of the paper is to provide a methodological support for the screening of potential partners based on network analysis and, then, help firms to select them for collaboration and knowledge exchange. The methodology can be easily adopted by managers and executives to identify firms to monitor with greater attention for future investments. The analysis is on a dataset of 4,782 clean‐tech companies operating worldwide. Results highlight that energy companies looking for external sources could investigate their network of business proximity if they intend to specialize in a defined field and/or collaborate with similar partners, while they could explore their network of strategic proximity if they intend to diversify their businesses, that is cooperating and exchanging knowledge with firms with distant but complementary capabilities and resources.     

Firms and universities—do spillovers enhance firm’s performance?

This paper aims to assess if geographic proximity from universities enhances small firms’ performance, by means of knowledge spillovers. A sample of micro data is used on 390 manufacturing firms and 11 public universities in Portugal. Performance is measured by labour productivity. The estimation was made using OLS as well as Quantile Regression. Results seem to confirm that both domains of knowledge do produce distinct effects, but there is no evidence that a firm’s performance improves with the proximity to a university. Likewise, the quality of universities does not seem to influence the labour productivity of firms.

Knowledge networks and universities: Locational and organisational aspects of knowledge transfer interactions

The aim of this paper is to explore the inter-organisational knowledge networks that universities in the UK engage in through their knowledge transfer activities. In particular, it analyses the extent to which organisational and locational factors are associated with the nature of these networks. Based on a UK-wide survey of universities, it is shown that the nature and formation of inter-organisational knowledge networks is related principally to the organisational characteristics of network actors, and secondarily to their spatial location. The characteristics of a network actor, in this case a university, are likely to influence the type, diversity and location of other actors with which it networks. Nevertheless, spatial location is an important secondary factor influencing network formation, especially the geographic reach of a university's network. It is further found that the value generated by universities from their knowledge networks is associated with the type of organisations within which they interact as well as their spatial location. It is concluded that such networks impact both regional innovation capability and regional competitiveness. The results have implications for policymakers, especially in terms of the spatial scale at which the demand and supply for university knowledge can be best mediated.     

产学协同创新知识网络的发展与演化 ——基于"双一流"高校的专利数据

以42所“双一流”高校产学联合申请的专利数据作为研究样本,探究我国产学协同创新的发展,并基于社会网络分析法探究知识网络的时空演化规律。研究发现:产学协同创新经历了起步期、跃升期和平稳期三个阶段,且呈现出显著的区域分布特征,其中东部地区的高校及企业产学合作水平处于领先地位,中西部高校产学合作次数增多,西部企业厚积薄发,但中部企业参与产学活动的程度有待加强。产学协同创新知识网络规模不断扩大,但已被利用的知识不及全部知识的半数,未来仍有进一步研究的可能性;知识网络密度随着时间的演化不断提高,但网络仍较为稀疏,知识元素间重组的潜力很大。     

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.     

Does working with industry come at a price? A study of doctoral candidates’ performance in collaborative vs. non-collaborative Ph.D. projects

Collaborative Ph.D. projects between university and industry constitute an important aspect of university–industry collaboration, yet has remained under-researched thus far. The specific question this paper asks is how collaborative Ph.D. projects perform compared to non-collaborative Ph.D. projects. Conducting an empirical study on 448 Ph.D. projects at Eindhoven University of Technology, it is observed that collaborative Ph.D. projects outperform non-collaborative Ph.D. projects both in terms of industrial performance (number of patents and patent citations) and academic performance (number of publications and publication citations). A further investigation indicates that the high performance of collaborative Ph.D. projects is specific to the university׳s collaborations with Philips and with Public Research Organisations. When measuring academic performance is a more restricted manner by looking at top-publications only, it is observed that collaborative Ph.D. projects no longer outperform non-collaborative Ph.D. projects. One of the policy implications of this study is that there seems to be no reasons for universities to be reserved to enter into collaborative Ph.D. projects, when such opportunities arise.     

Firms’ linkages with public research organisations in Argentina: Drivers, perceptions and behaviours

This paper analyses firms’ drivers for linking to public research organisations (PRO) (first goal) and compares perceptions and behaviours of linked vs. unlinked firms (second goal). We used an original firm database constructed from a representative survey with information for linked and unlinked firms for year 2005 in Argentina. Drivers were estimated using a Probit model, while differences in perceptions and behaviours between linked and unlinked firms were assessed with propensity score matching techniques. For our first goal we found that (i) firms’ knowledge bases were not drivers for linking to PRO and (ii) networking capabilities matter but there is a substitution effect between interacting with PRO and interacting with other economic agents in the market when firms aim at exchanging information rather than doing joint research. These findings may imply that current linkages are not exploiting properly their knowledge potential; it may be worth designing a division of labour among PRO in their functions in PRO-industry interactions. For our second goal: we found that (i) linked firms invest more in innovative activities; (ii) they are more prone to patenting; (iii) both groups of firms value similarly PRO research outputs available at arm length (i.e. without direct linking). Given the asymmetric development on appropriability tools between PRO and firms and the fact that all firms benefit from PRO research outputs, the higher predisposition of linked firms towards patenting, suggests that special attention should be placed at analysing the risks of a private appropriation of publicly created knowledge.     

Management of Sino-Sino Joint Ventures

Abstract

Since China's implementation of its open-door policy in 1979, the most effective way to obtain a foothold has proved to be to create joint ventures (JV) with a Chinese business partner. The foreign partner provides the transfer of technology, management skills, financing and access to international markets, whilst the Chinese partner contributes a production base with cheap land and labor, contacts with central and local government officials and access to the domestic Chinese market. The Chinese economy has benefited to a large extent from the creation of joint ventures in the past two decades. Hong Kong firms have used China as a production base for many years, usually with great success and to the mutual benefit of both. However, although Hong Kong firms had considerable experiences in running business and manufacturing operations in China, several have suffered substantially from their investment in joint ventures with Chinese partners. This paper evaluates various issues relating to the performance of equity joint ventures in China. The evaluation is based on a case study of four Sino-Hong Kong joint venture manufacturing firms in the electronics industry, and the findings of this paper indicate that there are number of important factors affecting the stability of joint ventures in China. Foreign investors' experiences in other areas may not be applicable to their investment in China because the operation of a joint venture in China is inevitably faced with a variety of problems that the foreign firms may not have encountered before.     

Partner Selection Decisions in Interfirm Collaborations: The Paradox of Relational Embeddedness

By combining insights from relational network theory and agency theory we identify the boundary conditions to the embeddedness approach to partner selection decisions in interfirm collaborations. Employing a longitudinal dataset comprising the investment syndicates for the population of UK management buyouts between 1993 and 2003, we find that relational embeddedness is less important for selecting partners when agency risks are low, allowing firms to expand their networks. Furthermore, reputational capital may act as a partial substitute for relational embeddedness, again permitting firms to expand their networks. Our findings enhance understanding of the boundary conditions associated with the relational network approach to partner selections and network behaviour.