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This study aims to explore the factors undergirding knowledge creation in the university-industry complex inter-organizational arrangement. It builds upon social capital and relationship marketing theories.

This study uses a qualitative research design. In total, 36 innovation champions involved in knowledge creation were interviewed to provide detailed insights into the process. A thematic analysis of the in-depth interviews was conducted.

The principal finding was that opportunistic behavior was a significant barrier to knowledge creation. In severe cases, the knowledge creation process was destroyed, resulting in lost investment. Principled behavior and investment in affect-based and cognition-based trust, through five critical trust development activities, provided the best path to successful knowledge creation.

This study contributes to the knowledge management literature by providing insights into the enablers and barriers to the formation of cooperation, a crucial antecedent to knowledge creation literature. It also affords practical implications for innovation managers and policymakers on how they can improve knowledge creation by using social capital and relationship marketing theory in complex inter-organizational arrangements.

The purpose of this paper is to investigate the innovation performance of R & D collaborations from an institutional perspective.

The authors conduct an empirical analysis based on 487 joint-inventions developed by 50 US biotechnology firms from 1985 to 2002.

The authors find that institutional diversity between the partners, as reflected by firm-university partnerships, positively affects the value of their joint-innovation. This effect is reinforced by the firm’s behaviour in searching for knowledge broadly (scope) and in the non-commercial realm (science-based nature). Conversely, as the firm searches for knowledge in few domains areas (depth), the positive effect of institutional diversity is reduced.

The study contributes to literature on partner selection, university-industry collaborations, balance between exploration and exploitation, as well as to research on the interdependence between firm’s external and internal resources.

The study reveals that when firms innovate together with universities, this promotes the development of high valuable innovations. In addition, it emerges that to fully capture the benefits of these collaborations, firms have to develop a wide set of competencies supported by a scientific approach in problem solving.

The study sheds new light on the dynamics favouring the joint development of valuable innovations by focusing on the impact exerted by partners’ institutional differences, as revealed by how norms and rules shape innovation’s modes.

This chapter focuses on the role played by both companies and universities on the dissemination of services and courses related to Business Diplomacy (BD). Special attention is given to the partnerships between companies and universities and to how BD is taught by universities around the world.

With an exploratory analysis technique, we have surveyed the websites of 22 companies and 20 universities and institutions, belonging to various countries, engaged in activities related to BD (i.e. services supply, courses at different stages of the academic curricula, workshops, seminars, training etc.).

The objective of the analysis was twofold: first, to give a better understanding of the concept of BD and of the various meanings associated with it; the results indicate that in both cases the practiced concept of BD is converging to the canonical set of diplomatic functions; second, to offer useful insights to practitioners in the field of BD by looking at the type of BD courses covered by the academic curricula of various universities and BD services offered by market companies.

This chapter presents a comprehensive analysis of the BD issue, going beyond its treatment as a mere auxiliary activity. It also offers a detailed overview of diplomacy’s main functions and adjuvant activities, with the purpose of advancing organisational charts’ structures inside companies, and academic syllabi offerings by universities.

The purpose of this paper is to analyze the dynamics of the triple helix model in less favoured regions, examining the role of three spheres: universities, firms, and government. The paper identifies profiles of behavior in terms of triple helix model performance from the firm's perspective and recognizes key factors for successful innovation dynamics in a less favored region of Portugal.

A brief bibliographic revision regarding development of the triple helix model in the innovation process is followed by a description of the role of the helixes and the presentation of a model, after which the hypotheses are defined for testing. The methodology consists of a survey involving companies in a less favored region of Portugal and the application of multivariate statistical analysis “k‐means clusters” to detect behavioral patterns in terms of performance and dynamics of the triple helix model from the firm's viewpoint. In order to verify the hypotheses, tests of multiple average differences are used to assess the unique characteristics of each cluster and the independent test of Chi‐square.

The results point to the existence of a positive relationship between the dynamics of the triple helix model in terms of different types and objectives to innovate, namely, in regards to introducing new products as well as ecological innovation and their efforts to improve communications relative to the obstacles to innovate – explicitly, the lack of information and geographical location, the companies' innovation performance, and the level of cooperation and interaction with the university producing benefits for them in obtaining additional financial resources and prestige for the researcher, as well as by obtaining information for the education process.

The paper contributes to a greater theoretical understanding of the variables influencing implementation of the triple helix model in less favoured regions. It reveals conditions associated with a more active and proactive stance and consequently better innovation dynamics and regional attractiveness.

The purpose of this paper is to investigate the impact of the different drivers of the establishment of innovation relationships in an aerospace cluster. In particular, the work investigates the impact of the various forms of proximity in the formation of inter-organisational collaborations for innovation.

The analysis is based on primary data collected through interviews and questionnaires on innovation collaborations, administered to all the firms operating in the aerospace cluster in Tuscany. The work applies social network analysis and Exponential Random Graph Models to analyse the forces that drive inter-organisational collaborations for innovation.

Results confirm the importance of geographical proximity in the formation of ties in the cluster, but social proximity is one of the main drivers for tie formation. Reciprocity shows that companies develop innovations in a reciprocal way and that most relationships are bidirectional. Triadic closure is also relevant, where the role played by trust and previous relationships is evident. Finally, hierarchy network processes are underlined, where the most central actors of the network are the most popular confirming a processes of preferential attachment. The central organisations gradually are more important, whereas the marginal ones are left in the periphery.

The work presents some novelties. First, it measures the different impacts of the various forms of proximity together with more advanced measures of network analysis. It allows pointing out the relevance of a firm’s network position in clusters and the fact that clusters assume hierarchical structures similar to centre-periphery networks, where most relevant nodes are in the inner core and marginal organisations are relegated.

The purpose of this paper is to build a holistic theoretical framework of enabling factors contributing to the development of enterprise in nanotechnology-related industries, in a French context.

A systematic literature review methodology was adopted. The review used three gauges to identify enabling factors contributing to the development of enterprise in nanotechnology-related industries in a French context: first, it analysed the literature related to the development of nanotechnologies in a perspective of sustainability in a multidisciplinary stance (“Green view”). Second, it took a disciplinary stance by exploring academic journals in the field of entrepreneurship (“Entrepreneurship view”). Third, it studied the perspective of France (“French view”).

The main finding is that in spite of different approaches and sometimes seemingly conflicting stances, the three views converge on three enabling factors: the importance of knowledge sharing across boundaries, access to university scientists and facilities, and government intervention. However, each view also has its particularities: the “Green view” emphasizes the need for civil society inclusion, the “Entrepreneurship view” underlines the importance of early stage capital and entrepreneurial behaviour and the “French view” concentrates on the role of clusters.

The paper provides a theoretical framework and a starting point for further work on entrepreneurial nanotechnology facilitation. Its findings constitute a benchmark which may be tested in empirical cases. The focus on the French context may be seen as a limitation but also as a source of interesting comparative work focussing on other national or regional contexts.

The paper shows that public policy is an important element in the nascent field of enterprise development for nano-based materials. It outlines how different contexts create different barriers to entrepreneurship, and it proposes recommendations to overcome some of these barriers.

In this paper, findings result from an exploration of the nanotechnology literature that focusses solely on nanotechnology data sets and not on mixed data sets. The use of three different gauges leads to the construction of a holistic theoretical framework that includes enabling factors as well as the types of barriers that entrepreneurs have to overcome to succeed.

Delivering premium services and quality products are critical strategies for success in manufacturing. Continuous improvement (CI), as an underlying foundation for quality management, is an ongoing effort allowing manufacturing companies to see beyond the present to create a bright future. We propose a novel integrated fuzzy framework for analyzing the barriers to the implementation of CI in manufacturing companies.

We use the fuzzy failure mode and effect analysis (FMEA) and a fuzzy Shannon's entropy to identify and weigh the most significant barriers. We then use fuzzy multi-objective optimization based on ratio analysis (MOORA), the fuzzy technique for order of preference by similarity to ideal solution (TOPSIS) and fuzzy simple additive weighting (SAW) methods for prioritizing and ranking the barriers with each method. Finally, we aggregate these results with Copeland's method and extract the main CI implementation barriers in manufacturing.

We show “low cooperation and integration of the team in CI activities” is the most important barrier in CI implementation. Other important barriers are “limited management support in CI activities,” “low employee involvement in CI activities,” “weak communication system in the organization,” and “lack of knowledge in the organization to implement CI projects.”

We initially identify the barriers to the implementation of CI through rigorous literature review and then apply a unique integrated fuzzy approach to identify the most important barriers based on the opinions of industry experts and academics.

This paper addresses the geographical dimension of cross-border knowledge integration, expressed as the co-invention of patent filings and investigates the siting of patenting activities by major US corporations in China. Most importantly, the study looks into the patterns of international co-invention or the links of these locations to headquarters and other company subsidiaries.

The study explores the cases of six US multinationals that file international patent applications in China. The applications were analyzed based on the composition of invention teams and the locations of inventors.

The co-invented patent filings by US multinational enterprises (MNEs) in China demonstrate a high degree of US–Chinese subsidiary collaboration. Links with other subsidiaries are marginal, and at the same time, high levels of sole patenting by inventors in China point to competence-creating research and development (R&D) activities taking place.

The lack of subsidiary-subsidiary collaboration, especially subsidiaries in other emerging markets, indicates a less diversified strategy of leveraging internal networks of knowledge. This also implies that Chinese subsidiaries still lack attractiveness as partners in subsidiary-subsidiary co-invention. Only two companies in our sample, Procter & Gamble and Intel, demonstrate a highly diversified, integrated and transnational pattern of innovation management.

The paper contributes to the contextual understanding of the rich landscape of R&D activities of major US MNEs in China. By exploring these cases, the paper identifies a number of trends. First, the R&D activities in this sample are highly concentrated in technological clusters located in Beijing and Shanghai. Technological clustering is an important advantage of the innovation landscape in emerging markets. Second, the paper underscores the importance of differentiating between different types of co-invention. The patent applications in this sample tend to unite inventors mostly from the US and China, and so multi-country applications involving subsidiaries in other countries are rare. Thus, the level of integration outside the center-host bandwidth is low. However, Chinese subsidiaries demonstrate high levels of autonomy by filing single-country applications, which implies that they are building their own research identity.

The purpose of this study is to empirically investigate the extent to which two types of commercial partnerships (business partner and non-business partner) affect the collaborative innovation of firms in emerging economies. Specifically, the roles of two commercial partnerships are investigated. Additionally, the study explores the moderating effect of external technological uncertainty and internal dynamic capabilities on the relationship between two commercial partnerships and on collaborative innovation.

Using a sample of 370 high-tech firms in China, the authors applied the partial least squares structural equation modeling approach to model these relationships.

The findings reveal opportunities and challenges for companies according to two intensities of commercial partnership for collaborative innovation. The partnership contribution to innovation and competiveness is different within the two routes and ranges. The findings indicate that (1) intense commercial relationships with business partners have a stronger positive significant impact on collaborative innovation than those with non-business partners and (2) non-business partners have a weaker positive impact on collaborative innovation at high external technological uncertainty. It was also found that (3) the positive impact of business partners on collaborative innovation is weakened when a firm has high dynamic capabilities, whereas the positive impact of non-business partners is strengthened.

Insight into the roles of two commercial partnerships in achieving collaborative innovation facilitates the advancement of the theoretical understanding of the circumstances under which cooperative innovation can be more effective under different partnerships.

A key strategic question is whether comprehensiveness enables firms to make better strategic decisions in various environments. In the process of innovation, companies must choose different types and quantities of partners, and they must regulate their partners’ innovative behavior by establishing a corresponding network structure and relationship rules. The current study focuses on analysis of how different intensities of commercial partnerships affect collaborative innovation. This research provides a theoretical framework that creates a new classification of commercial relations with regard to collaborative innovation, and it highlights the difference between the two types of partnerships. This study finds that there are many problems in the selection of innovative partners in China’s high-tech companies. Therefore, companies should strengthen their understanding of cooperative innovation, and they should build and manage highly efficient innovation networks. This study helps companies, high-tech industry associations, academia and government to take enhanced, informed actions.

Looks at the 2000 Employment Research Unit Annual Conference held at the University of Cardiff in Wales on 6/7 September 2000. Spotlights the 76 or so presentations within and shows that these are in many, differing, areas across management research from: retail finance; precarious jobs and decisions; methodological lessons from feminism; call centre experience and disability discrimination. These and all points east and west are covered and laid out in a simple, abstract style, including, where applicable, references, endnotes and bibliography in an easy‐to‐follow manner. Summarizes each paper and also gives conclusions where needed, in a comfortable modern format.