An experimental analysis of team production in networks

Experimental and empirical evidence highlights the role of networks on social outcomes. This paper tests the properties of exogenously fixed networks in team production. Subjects make the same decisions in a team work environment under four different organizational networks: the line, the circle, the star, and the complete network. In all the networks, links make information available to neighbors. This design allows us to analyze decisions across networks and a variety of subject types in a standard linear team production game. Contribution levels differ significantly across networks and the star is the most efficient incomplete network. Moreover, our results suggest that subjects act as conditional cooperators with respect to the information received from the network.     

It’s a match! Simulating compatibility-based learning in a network of networks

In this article, we develop a new way to capture knowledge diffusion and assimilation in innovation networks by means of an agent-based simulation model. The model incorporates three essential characteristics of knowledge that have not been covered entirely by previous diffusion models: the network character of knowledge, compatibility of new knowledge with already existing knowledge, and the fact that transmission of knowledge requires some form of attention. We employ a network-of- networks approach, where agents are located within an innovation network and each agent itself contains another network composed of knowledge units (KUs). Since social learning is a path-dependent process, in our model, KUs are exchanged among agents and integrated into their respective knowledge networks depending on the received KUs’ compatibility with the currently focused ones. Thereby, we are also able to endogenize attributes such as absorptive capacity that have been treated as an exogenous parameter in some of the previous diffusion models. We use our model to simulate and analyze various scenarios, including cases for different degrees of knowledge diversity and cognitive distance among agents as well as knowledge exploitation vs. exploration strategies. Here, the model is able to distinguish between two levels of knowledge diversity: heterogeneity within and between agents. Additionally, our simulation results give fresh impetus to debates about the interplay of innovation network structure and knowledge diffusion. In summary, our article proposes a novel way of modeling knowledge diffusion, thereby contributing to an advancement of the economics of innovation and knowledge.     

How do dimensions of proximity relate to the outcomes of collaboration? A survey of knowledge-intensive networks in the Dutch water sector

There is a growing body of literature on the importance of proximity for innovation and other knowledge-related outcomes. We examine the impact of geographical, social, organisational, and cognitive proximity for a heterogeneous population, including people from academia, knowledge institutes, industry, and government. We analyse data on 1020 ego–alter relationships, derived from a survey among water professionals in the Netherlands. The use of survey data allows for more refined indicators of proximity and more diverse collaboration outcomes than those common in the literature. Social and cognitive proximity have a positive effect for all outcomes examined. Geographical and organisational proximity have a negative effect on hard (tangible) outcomes yet a weak positive (if any) effect on soft (intangible) outcomes. We do not find evidence for the suggestions in the conceptual literature that proximity follows an inverted U-curve where most outcomes are achieved in relations with some but not too much proximity.     

How many viewers does a cable network need? A survival analysis of cable networks

This article employs survival/duration analysis to determine how subscriber levels affect cable networks’ survival probabilities. Using piecewise-constant hazards estimation, we find that an additional one million subscribers increases a cable network's probability of survival in a given year by 17%.     

Are there spillover effects of large firms’ growth in supply chain networks? Evidence from the Korean economy

Previous literature has found that inter-firm cooperation leads to higher growth rates for small and medium enterprises (SMEs). However, these studies have focused only on direct effects, such as subcontracting, rather than on spillover effects in supply chain networks (SCNs). Regarding the spillover effects, this article investigates whether a large firm’s growth leads to the growth of the directly and indirectly related SMEs in its SCN, using Korean firm-level data with the system Generalized Method of Moments (GMM) approach. The estimation results show that increases in the sales of large firms significantly affect the growth rates of the related SMEs. These effects, however, diminish as the relationship with the large firm goes down from the first vendor to the second vendor and from the second vendor to the third vendor. In the case of Korea, when a large firm grows by 1%, the first vendor grows by 0.38–0.44%, but the growth rates of the second and third vendors are only 0.036–0.047% and 0.003–0.005%, respectively. Thus, while there are spillover effects, the effects are weak. We discuss what these findings mean for national economic growth.     

Does different NPD project’s characteristics lead to the establishment of different NPD networks? A knowledge perspective

In today’s highly competitive and globalised marketplace, firms need more and more to develop new knowledge and capabilities to leave behind their competitors, thus gaining market share. Knowledge is fundamental for success because a firm that knows more, often develops more sustainable competitive advantage. Networks, like those oriented to New Product Development, seem to be valuable means of learning, as firms could not achieve alone the same results, or at least not as quickly. Through this integrative systematic review, we are interested in understanding whether different New Product Development projects correspond to different New Product Development networks in terms of knowledge exchanged among the partners involved. Our results highlight the presence of four types of New Product Development networks deriving from the combination of the degree of innovation characterising the project and its mode of development. Implications and future research are also proposed.     

How institutional conditions impact university–industry search strategies and networks

A wide range of research has studied interactions between academic and industrial organisations. Less research has combined institutional theory and the terminology of social networks in order to investigate how different institutional conditions across scientific fields impact university–industry search strategies and networks in various ways. Based on a comparative analysis of the institutional conditions in two different scientific fields, we argue that the UI search processes and network formations of a high-tech small firm are shaped by these different institutional conditions within which they are embedded. The study contributes to knowledge about how the significance of weak and strong ties is relative to varying institutional conditions in general high-tech vs. life sciences and why embeddedness in pre-existing ties is not necessarily the most effective means for firms to optimise UI search and network-formation strategies.     

Does trade creation by social and business networks hold in services?

Recent literature on the border effect has shown that the intensity of trade in goods is positively correlated with the migration stocks between any pair of countries/regions. The number of references for business networks is more limited, but they are also related with a reduction on information costs. In this article we investigate whether such a relation holds also for Spanish domestic trade flows in consumer services. To this end, we use a gravity model rooted in the Dixit–Stiglitz–Krugman theoretical framework and a unique data set on interregional trade flows for some of the main tourism service sectors, namely, accommodations and restaurants. Our industry-specific analysis finds a large positive effect for restaurants but a more limited effect for accommodations. Forces driving the demand in each sector explain this result and suggest the idea that although social networks can act as a substitute of firms in some sectors at the same time they can enhance trade flows in other sectors. We perform the same kind of analysis with a data set (obtained by a similar method) for domestic trade in goods and discover a different response to social and business networks. Finally, we treat the potential endogeneity by taking the instrumental-variable approach of the Poisson pseudo-maximum likelihood estimator and thus obtain consistent results.     

Who you are or whom you know? Consumption interdependences in social networks

This paper presents an analysis of whether a consumer's decision to switch from one mobile phone provider to another is driven by individual consumer characteristics or by actions of other consumers in her social network. Such consumption interdependences are estimated using a unique dataset, which contains transaction data based on anonymized call records from a large European mobile phone carrier to approximate a consumer's social network. Results show that network effects have an important impact on consumers’ switching decisions: switching decisions are interdependent between consumers who interact with each other and this interdependence increases in the closeness between two consumers as measured by the calling data. In other words, if a subscriber switches carriers, she is also affecting the switching probabilities of other individuals in her social circle. The paper argues that such an approach is of high relevance to both switching of providers and to the adoption of new products.     

Regional service clusters and networks. Two approaches to empirical identification and development: the case of logistics in the German port city‐states Hamburg and Bremen

This article discusses two approaches to the identification and measurement of regional clusters and its networks in ‘cross‐sectoral’ services which are not available through official industrial statistics. The first approach is a ‘secondary‐statistical’ one consisting of a firm‐based blending of two separate official statistical data‐sets, industrial and ‘functional’ (that is, the professions practised within firms). Thus, a service ‘cross‐sector’ is identified across manufacturing and service industries. In the matrices resulting, weights are attached in an expert survey to the numbers of employees to aggregate the ‘real’ logistics ‘cross‐sector’. This is applied to the two German port city‐states, Hamburg and Bremen. The second approach is ‘primary‐statistical’, based on a small firms survey which generated data on ‘functional’ supplier relations (the cluster) and on project‐based ‘strategic’ cooperations (the networks within that cluster). This follows a two‐stage model of emerging clusters and ‘its’ networks. This data‐set is combined with the firms’ affiliations to branches, firm size, age and sales growth classes, in order to connect information with the industry statistics. Also, the net densities and centrality structures are calculated. The combined information provides indications of the relevance of the service cluster and its networks as factors of future regional development. The latter approach is applied to the State of Bremen only. Two results appear to be transferable beyond the German cases: first, the two approaches improve the knowledge about policy‐relevant ‘cross‐sectors’, clusters and networks; and second our knowledge about service, namely logistics, clusters and networks (for which port regions are prominent nodes) is improved. Finally, some implications for regional cluster strategies are discussed.     

Strong–weak collaborative management in coping supply chain disruption risk transmission based on scale-free networks

Supply chain disruption causes tremendous loss to supply chains and global businesses. Organizational structure and operational features of supply chain networks, therefore, constitute a major portion of research for coping with supply chain disruption risk. This article first discusses the theoretical foundation, analyses the strength theory of strong and weak ties and the collaborative theory of strong and weak ties. Also, research methods are explicated; the scale-free networks and the theory of strong ties are integrated; the features of supply chain networks are considered from single statistical parameters and comprehensive analyses. Next, we provide numeric simulation of the properties of supply chain networks, verifying the accuracy of parameter analyses of single statistics and comprehensive analyses. Ultimately, when coping with supply chain disruption risk, each node enterprise of supply chain network is supposed to deploy the characteristics of scale-free networks to systematically manage existing weak ties, weak ties newly introduced, existing strong ties and strong ties newly introduced. This study is conducive to node enterprises of supply chains to recognize and apply the scale-free networks and the strength theory of ties to analyze the properties of supply chain networks, and to improve the capacity to cope with disruption risk.     

Do migrant and business networks promote international royalty receipts? Evidence from the U.S.

This study examines how migration and business networks affect the trade in intellectual property using bilateral data on the U.S. and OECD member countries. The analyses are distinct in that they comprehensively examine network effects by combining previous works on tangible trade–migration relationships together with the literature on trade–FDI relationships. We show that intellectual property exports are positively related to the number of immigrants residing in the U.S. and the U.S. direct investment stocks in trading partners. However, they do not have any relationships with U.S. emigrants and FDI inflows to the U.S. The result suggests that network effects vary depending on the direction of cross-border factor movements.     

Intellectual property rights and diaspora knowledge networks: Can patent protection generate brain gain from skilled migration?

This paper studies the mechanism through which intellectual property rights (IPR) protection can influence the impact of skilled migration on innovation activities in developing countries. We argue that knowledge acquired by emigrants abroad can flow back to their country of origin through diaspora networks. IPR protection in the sending country facilitates this channel by increasing returns to skills and encouraging workers to move into the innovation sector. An expansion of the innovation sector allows diaspora knowledge to be absorbed by a larger range of workers. Strong IPR enforcement therefore makes it more likely for brain drain to be transformed into brain gain.     

of China HydrologyJournal of China

ournal of China HydrologyJournal of China HydrologyJournal of China HydrologyJournal of Shanxi Finance and Economics UniversityJournal of Shanxi Finance and Economics UniversityJournal of Shanxi Finance and Economics UniversityJournal of Shanxi Finance and Economics UniversityJournal of Shanxi Finance and Economics UniversityJournal of Shanxi Finance and Econom     

The Analysis of Bases of Market Segmentation

This paper analyses the characters of different bases of market segmentation and classes the bases into four kinds： observable general bases, observable product-specific bases, unobservable general bases and unobservable product-specific bases. The result can be used in the future research of market segmentation.     

Homogeneous middleman groups as superorganisms,endogamous ethnic groups,and trust networks: Reply to comments on Janet Landa’s target article, ‘The bioeconomics of homogeneous middleman groups as adaptive units’

This article responds to some of the very valuable comments on my target article (Landa, J Bioeconomics 10(3):259–278, 2008) on homogeneous middleman groups (HMGs) as adaptive units. In addition to viewing HMGs as adaptive units, I discuss the idea of viewing HMGs as superorganisms and as endogamous ethnic groups, as well as re-emphasizing the importance of HMGs as trust networks. My theory of HMGs as adaptive units shares some similarities with biologists’ ‘biological market theory’ of mutualistic interactions between species.      

Analysis of the Evaluation Mechanism of the Stride Development System of the Enterprise

on the basis of the self-organizing theories the thesis analyzes how enterprises realize the stride development through the technology stride. At First the thesis sets up the stride development system of enterprises and then the thesis reveals the mechanism that the technology stride will give rise to the stride development of ente~fises. In the end the thesis puts forward the enlightenment for the stride development of enterprises from the stride development system of enterprises.     

Merger of Equals? Try Murder of Equals

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