International scientist mobility and the locus of knowledge and technology transfer

Despite the growing interest of scholars and policymakers to better understand the determinants for researchers in public science to transfer knowledge and technology to firms, little is known how temporary international mobility of scientists affects both their propensity to engage in knowledge and technology transfer (KTT) as well as the locus of such transfer. Based on a sample of more than 950 German academics from science and engineering faculties, we investigate how the duration and the frequency of scientists’ visits at research institutions outside their home country affect KTT activities. We find that most mobile scientists engage in KTT to firms both in the host and in their home country, suggesting that KTT activities to firms abroad do not substitute or crowd out, but complement KTT to firms in the home country. We further find that the longer research visits abroad are, the higher the likelihood that scientists engage in KTT to firms, again both in the host and the home country. However, the more frequently scientists visit institutions abroad, the more likely they are to engage in KTT to firms only in their home country. Our results therefore provide evidence for the benefits of “brain circulation”. The article contributes to the growing strand of the literature on scientist mobility and on the determinants of industry-science linkages at the individual level.     

Intellectual property infringements due to R&D abroad? A comparative analysis between firms with international and domestic innovation activities

This paper aims to analyse the risk of intellectual property (IP) infringements by competitors from abroad and in particular to consider whether this risk is higher for international innovating firms. We distinguish three different types of IP infringements from abroad: the usage of firms’ technical inventions, product piracy, and copying of corporate names and designs. Our analysis rests on the German data from the Europe-wide Community Innovation Survey (CIS). We use a unique data set of about 900 observations, which are retrieved from two survey waves. While the earlier wave contains information about international and domestic innovation activities, the later wave reports IP infringements. In a second analysis, the likelihood of infringements from innovation host countries and no-innovation host countries abroad is examined. Before the empirical analysis, an exploratory study was carried out in China with interviews of German firms with innovation activities in China and with a legal advisor for small and medium-sized German enterprises. The results show that firms with international R&D activities are increasing their chances of losing technological knowledge to their local competitors abroad. R&D activities in countries with weak intellectual property rights increase the risk for all types of IP infringements compared to domestic R&D activities. Infringements by competitors from the host country are driven by the production of new produces in this country. Export intensity is the major driver of infringements from no-innovation host countries. R&D activities in China and North America also increase the risk of an infringement. However, firms that innovate only in their home country experience significantly more product piracy cases than international innovating firms.     

MNCs’ offshore R&D networks in host country's regional innovation system: The case of Taiwan-based firms in China

China has become a hot spot of R&D internationalization and a growing number of Taiwan-based firms have indeed set up R&D units in China. Taking into account China's substantial regional variations in economic development, innovation capacity, and knowledge productivity, such notions as regional innovation system (RIS) and local innovative milieu may become more relevant to the study on relationships between China and its inward R&D internationalization. Therefore, the key issue for this paper is what locational advantages of an RIS within a host country affect the network linkages and networking strategy of multinational corporations’ (MNCs’) offshore R&D units. The paper aims to enrich the current understanding of R&D internationalization in several ways. First, the paper attempts to examine the R&D networking underlying R&D internationalization by Taiwan-based firms in China, with particular reference to the sub-national level inside China. Second, the paper tries to establish a link between the literature of R&D internationalization and that of RIS, with a modified version of Dunning's eclectic paradigm. Efforts are made to map the relationship between foreign subsidiaries’ local R&D networks and their host RISs inside China. Third, the paper takes advantage of a government databank to adopt a quantitative approach, the Seemingly Unrelated Bivariate Probit Regression model, with foreign subsidiaries as the unit of analysis, to highlight the role played by some aspects of the RIS in determining the local R&D networking of Taiwanese subsidiaries in China. Our evident shows that MNCs’ offshore R&D units that purse home-based technology exploitation strategy, the mainstream strategy regarding the developing host country, tend to be located in a host region with a strong knowledge application and exploitation subsystem, while an RIS with a strong knowledge generation and diffusion subsystem, within such a developing country as China, may induce MNCs’ local R&D units to pursue home-base technology augmenting strategy. On balance, not only the location choice but also the local R&D linkages of MNCs’ offshore subsidiaries are related to appropriate fits between the RIS and the subsidiaries’ innovation network inside the host country.     

Network embeddedness and the exploration of novel technologies: Technological distance, betweenness centrality and density

This paper aims to understand better the innovation potential of a firm’s alliance network. Here we analyze the role of an alliance network in terms of the technological distance between partners, a firm’s network position (centrality) and total network density. We study how these three elements of an alliance network, separately and in combination, affect the ‘twin tasks’ in exploration, namely novelty creation on the one hand and its efficient absorption on the other hand. For an empirical test, we study technology-based alliance networks in the pharmaceutical, chemical and automotive industries. Our findings indicate that successful exploration indeed seems to require a delicate balance between these two exploration tasks. A second conclusion is that different network positions yield different pay-offs in terms of the number of explorative patents. In other words, success rates for exploration are not spread equally across firms. However, position alone does not tell the full story. Our empirical findings clearly indicate that exploration success also depends on the other two dimensions of embeddedness, namely technological distance and network density. The three elements of network embeddedness need to be considered jointly in order to understand their complementary effects on both novelty creation and absorptive capacity.     

Know-how transfer mechanisms in franchise networks: a study of franchisee perceptions

Know-how is a critical element of franchising, and its transfer is a key issue for franchisors and their staff. The aim of this paper was to analyse franchisees’ perceptions about know-how transfer in franchise networks. Findings of our qualitative empirical study show that franchisees seem to value the mechanisms used in their network, which include formalised processes (the operations manual, online tools), training (initial and ongoing) and social mechanisms (discovery sessions, meetings and committees). Only the effectiveness of on-field consultants is questioned, which leads to important managerial implications. At the theoretical level, the paper contributes to our understanding of franchise operations by providing a franchisee-centred model of how knowledge is created and disseminated in the networks.     

From knowledge to added value: A comparative, panel-data analysis of the innovation value chain in Irish and Swiss manufacturing firms

The innovation value chain (IVC) divides the innovation process into three separate links or activities: knowledge gathering, knowledge transformation and knowledge exploitation. Here, we report a comparative panel data analysis of the IVC in Ireland and Switzerland. Both economies are small, very open and depend significantly on innovation to maintain competitive advantage. In recent years, however, R&D and innovation growth in Ireland has been markedly stronger than that in Switzerland. We investigate these differences through the ‘lens’ of the IVC. Significant similarities exist between some aspects of firms’ innovation behaviour in each country: strong complementarities emerge between external knowledge sources and between firms’ internal and external knowledge. And, in both countries, in-house R&D and links to customers prove important drivers of innovation. Innovation drives productivity growth in different ways in the two countries, however, through product change in Switzerland and through process change in Ireland. Other differences in the determinants of innovation performance linked to ownership and firms’ institutional context emphasise the systemic nature of innovation and the legacy of past patterns of industrial development.     

Openness, knowledge, innovation and growth in UK business services

We explore the causal links between service firms’ knowledge investments, their innovation outputs and business growth based on a bespoke survey of around 1100 UK service businesses. We combine the activity based approach of the innovation value chain with firms’ external links at each stage of the innovation process. This introduces the concept of ‘encoding’ relationships through which learning improves the effectiveness of firms’ innovation processes. Our econometric results emphasise the importance of external openness in the initial, exploratory phase of the innovation process and the significance of internal openness (e.g. team working) in later stages of the process. In-house design capacity is strongly linked to a firm's ability to absorb external knowledge for innovation. Links to customers are important in the exploratory stage of the innovation process, but encoding linkages with private and public research organisations are more important in developing innovation outputs. Business growth is related directly to both the extent of firms’ service innovation as well as the diversity of innovation, reflecting marketing, strategic and business process change.     

Open source in the firm: Opening up professional practices of software development

Opening up firms to open source has changed professional programmers’ work in software development. In their work practice they must cope with two modes of software production: one based on proprietary, closed work situations, the other built around open source community ways of cooperation and knowledge sharing. In this article we present a study of how programmers cope with the co-existence of an industrial/commercial and a community/commons based mode of production. We analyze how they develop strategies to handle tensions that arise from contradictions between these two modes, and how it changes programmers’ approach towards open source software development in the company. The study covers proprietary companies that have gradually incorporated open source software (hybrid companies) and SMEs entirely built around open source business concepts (pure-play companies). Four strategies are elaborated and discussed in-depth: Engineering in the lab, Market driven tailoring, Developing the community consortium and Peer-production. At a more general level, the study contributes to our understanding of how the transformation of proprietary production processes into a more open mode of knowledge work is not only associated with company strategies, but also with tensions and new demands on how work is strategically handled by knowledge workers.     

To be or not to be franchised? A knowledge-based perspective

This paper investigates the rationale for choosing franchising rather than independent activity, arguing that this choice may be motivated by knowledge and competence considerations. We consider the franchise chain as a specific learning organizational form and explore whether this structure handles knowledge and builds competences according to an idiosyncratic pattern. Concretely, we empirically identify differences in the architecture of competences of franchised vs independent shops in the car maintenance industry in France, and analyse some causes for those differences. Thanks to in depth interviews coupled with lexical and quantitative analyses we find that franchised shops do master specific competences. However, the distinctive competences held by franchisees do not necessarily reflect franchisors’ knowledge, and are not exclusively the consequences of a shared identity in the franchise chain. We conclude that the development of franchise cannot be explained by competence-related arguments only, knowledge and competences being managed in distinctive ways within different franchising networks.     

A multilevel model for effects of social capital and knowledge sharing in knowledge-intensive work teams

Although it is a widely held belief that social capital facilitates knowledge sharing among individuals, there is little research that has deeply investigated the impacts of social capital at different levels on an individual's knowledge sharing behavior. To address this research gap, this study combines a multilevel approach and an optimal network configuration view to investigate the multilevel effects of social capital on individuals’ knowledge sharing in knowledge intensive work teams. This study makes a distinction between the social capital at the team-level and that of social capital at the individual level to examine their cross-level and direct effects on an individual's sharing of explicit and tacit knowledge. A survey involving 343 participants in 47 knowledge-intensive teams was conducted for testing the multilevel model. The results reveal that social capital at both levels jointly influences an individual's explicit and tacit knowledge sharing. Further, when individuals possess a moderate betweenness centrality and the whole team holds a moderate network density, team members’ knowledge sharing can be maximized. These findings offer a more comprehensive and precise understanding of the multilevel impacts of social capital on team members’ knowledge sharing behavior, thus contributing to the social capital theory, as well as knowledge management research and practices.     

International research networks in pharmaceuticals: Structure and dynamics

Knowledge production and scientific research have become increasingly more collaborative and international, particularly in pharmaceuticals. We analyze this tendency in general and tie formation in international research networks on the country level in particular. Based on a unique dataset of scientific publications related to pharmaceutical research and applying social network analysis, we find that both the number of countries and their connectivity increase in almost all disease group specific networks. The cores of the networks consist of high income OECD countries and remain rather stable over time. Using network regression techniques to analyze the network dynamics our results indicate that accumulative advantages based on connectedness and multi-connectivity are positively related to changes in the countries’ collaboration intensity whereas various indicators on similarity between countries do not allow for unambiguous conclusions.     

The effects of individual motivations and social capital on employees’ tacit and explicit knowledge sharing intentions

Due to the importance of knowledge in today's competitive world, an understanding of how to enhance employee knowledge sharing has become critical. This study develops an integrated model to understand key factors of employee knowledge sharing intentions through constructs prescribed by two established knowledge management research streams, namely, those concerning individual motivations and social capital. This study classifies employee knowledge sharing intentions as either tacit or explicit and investigates whether the level of the determinants and their influences differ between the two. The research model is tested with survey data collected from 2010 employees in multiple industries. Analysis results show that the proposed model significantly explains the variance of employees’ tacit and explicit knowledge sharing intentions. This finding indicates that the model's unified perspective enhances our knowledge of how to improve employee knowledge sharing. The new findings reveal that organizational rewards have a negative effect on employees’ tacit knowledge sharing intentions but a positive influence on their explicit knowledge sharing intentions. The analysis results confirm that reciprocity, enjoyment, and social capital contribute significantly to enhancing employees’ tacit and explicit knowledge sharing intentions. Additionally, these factors have more positive effects on tacit than on explicit knowledge intentions. The implications of the new findings are discussed.     

How knowledge brokers emerge and evolve: The role of actors’ behaviour

This article investigates how actors positioned in a network can evolve as knowledge brokers, as well as how they act to develop new brokerage roles. Our focus is on actor's behaviour while previous studies concentrate more on the structural and positional determinants of brokerage roles. This research combines brokerage roles with a broker's functions in an exploratory study of a small Italian comics publishing house. Over 20 years, the firm played different brokerage roles involving different actors at national and international levels. We find that if all brokerage roles involve transcoding functions, the ability to overcome transcoding obstacles, through the use of shared imprinting with receiving partners, could be useful for developing any brokerage role. Moreover, heterogeneity in the competences and industry experience of hired members of the management team could support the development of new brokerage roles, with differentiated effects on various brokers’ functions. If a brokerage role involves new actors with no previous allegiance, the status of the broker, signalled through network relations, can have significant impacts by indirectly communicating its superior knowledge. The proposed, emerging theoretical framework has direct implications for studies of knowledge brokers and innovation in social networks, as well as for entrepreneurship research.     

Empowering teams through social network ties

Effective teamwork and knowledge coordination are becoming increasingly important for all kinds of organizations given the growing use of teams to tackle competitive challenges and sustain competitive advantage. In this study, we develop and validate a model of how two types of social network ties – expressive and instrumental – contribute to team efficacy and performance, mediated by three dimensions of a transactive memory system (TMS) – specialization, credibility and coordination within teams. We test the model in an empirical study drawing on data from 66 teams in a variety of organizations. The results suggest that both instrumental and expressive ties within teams can facilitate the formation of TMS and the three dimensions of TMS are all, even though to different extents, positively related to team efficacy. Team efficacy is also a powerful predictor of team performance. The findings in our study bridge the literature gap about social networks and TMS and explain the underlying process and mechanisms by which social network ties exert their influence on team outcomes. The results have implications for organizations that wish to leverage teams to take advantage of team members’ differentiated expertise and coordinate their work more effectively and efficiently.     

Convergence and polarization in global income levels: a review of recent results on the role of international technology diffusion

We review the recent literature on technological change and diffusion to shed new light on the evolution of the world’s cross-country income distribution. Technology is viewed as non-rival knowledge in the sense that firms in more than one country can simultaneously use it. R&D investments generate often also a return outside the innovating firm itself; these knowledge externalities are called technology spillovers. We emphasize that technology is to some extent tacit, and technology diffusion often involves the face-to-face interaction of people. Our paper reviews the evidence on whether international trade, foreign direct investment, and other cross-border activities are important for technology diffusion.     

Capturing and measuring technology based service innovation–A case analysis within theory and practice

While economies in the industrialised World have become increasingly knowledge driven and service based, much of the work on capturing and measuring business value is still constrained and steeped in the thinking of the manufacturing era. One area that is more susceptible to measurement is the field of technology based or enhanced services. This case analysis seeks to explore how a service operator, such as an international airport, can gauge value from investment into IT. We examine how the airport operator combines a variety of accounting techniques and other tools to capture value from their IT investments. We explore how the operator could improve their measurement of business value derived from their IT investment. One observation of practice is that value capturing tools and techniques are used in parallel rather than ‘in sync’. Drawing on the notion of user innovation, we argue operators should embrace a systemic approach in adapting and modifying measuring regimes to accommodate service based innovation.     

The barriers to tacit knowledge sharing in franchise organizations

Contemporary discourse among knowledge management and franchising scholars points to five key barriers that obstruct franchisors and franchisees from leveraging tacit knowledge as a resource for competitive advantage. Cumberland & Githens (2010, 2012), in their seminal works, identified these as Trust, Maturation, Communication, Competition and Culture. Usually, these barriers have been considered holistically as influencers of tacit knowledge transfer. Thus there has been limited debate on the individual influence of each factor and scant robust testing of these barriers to determine whether they are indeed distinct factors. This paper revisits the ideas that have led to the identification and justification of these barriers, and explores the complex relationships that often exist between franchisors and franchisees, and also between franchisees themselves. Finally, this paper will offer some novel ideas on how these barriers could be mitigated, and tacit knowledge transferred, through better structuring of vertical and horizontal information flows.     

连锁经营企业的知识转移复制策略研究

知识转移是连锁组织知识管理的关键环节,对于特许连锁组织来说,采用复制策略进行知识转移是其成功的关键,本文分析了特许连锁组织知识转移的特性,并进一步总结出特许连锁组织的知识复制模型,为进一步对特许连锁组织知识转移绩效的实证分析奠定了基础。     

The influence of knowledge-based resources and business scholars’ internationalization strategies on research performance

This study investigates how business research scholars’ internationalization strategies influence their research performance and how this relationship is moderated by the availability of different knowledge-based resources. The authors analyze citations to journal articles authored by business research scholars with German affiliations and examine how the number of citations is determined by international collaborations and a researcher's knowledge resources in terms of language skills, research experience, and foreign market knowledge. The results demonstrate that the augmentation of complementary knowledge resources (i.e., when researchers lack language skills and foreign market knowledge) positively influences the performance of a collaboration-based internationalization strategy (i.e., collaborations with international researchers). The collaboration-based strategy also improves performance for less experienced researchers, but this advantage diminishes with increasing research experience. The findings provide further insights into drivers of scholars’ research performance and have practical implications for science policy.     

数字经济下内外网络均衡对中国海外并购质量的影响——复杂知识缺口弥合效果的视角

本文基于2001-2016年的146起中国制造业上市公司海外并购样本的事件研究与大数据Bootstrap重复抽样检验，得出结论，内外网络均衡对中国企业海外并购后国内创新质量和国际创新质量均产生正向影响，且对国内创新质量的促进作用高于国际创新质量；母国和东道国的数字化水平对网络均衡与中国企业海外并购后国内和国际创新质量的关系也均具有显著的正向调节作用；按照母国与东道国数字鸿沟分组检验结果发现，数字鸿沟小时，并购方网络均衡与东道国数字化水平的交互作用更能提升中国企业海外并购后创新质量；进一步按照目标方知识复杂度高低进行分组检验，发现目标方知识复杂度高时，网络均衡与数字化的交互作用对提升中国企业海外并购后国内创新质量与国际创新质量的作用都高于知识复杂度低时。本文阐释数字经济中新兴市场跨国企业构建内外均衡网络兑现全球性创新优势的全新机制，在数字化加剧服务与制造分离的情景下，对中国制造业企业运用内外均衡网络，海外寻求复杂性强的隐性知识，加速中国消费端数字化向工业互联网资源的配置转移，利用数字化强外部性整合工业产业创新资源走向世界创新中心，具有重要价值。