Conceptualizing the Role of Geographical Proximity in Project Based R&D Networks: A Literature Survey

Empirical evidence shows that research is being carried out more in cooperation or in collaboration with others, and the networks described by these collaborative research activities are becoming more and more complex. This phenomenon brings about new strands of research questions and opens up a different research context in the area of geography of innovation. The recent set of literature addressing these new issues shows a high degree of variation in terms of focus, approaches and methodology. Hence to elucidate the relationship between networks and geography it is crucial to have a review them. In this regard, this study focuses on a particular type of networks, namely, project based R&D networks and aims at describing the state-of-the-art in explaining the specificity of geography in formation and evolution of such networks. Towards this aim, we framed the discussion along four lenses: the specificity of geography in partner choice, in successful execution of the collaboration, in the resulting innovation performance both at the organizational and regional level, and the spatio-temporal evolution of networks. The overview provided by the survey is suggestive regarding the theorization of geography and network relationship, and informative regarding the issues demanding further research effort, and promising extensions.

Recent Advances in the Empirics of Organizational Economics

We present a survey of recent contributions in the empirical organizational economics, focusing on management practices and decentralization. Productivity dispersion between firms and countries has motivated the improved measurement of firm organization across industries and countries. There appears to be substantial variation in management practices and decentralization between countries, but especially within countries. Much of the poorer average management quality in countries like Brazil and India seems due to a "long tail" of poorly managed firms, which barely exist in the US. Many basic economic theories are supported by this new data. Some stylized facts include: (1) competition seems to foster improved management and decentralization; (2) larger firms, skillintensive plants and foreign multinationals appear better managed and are more decentralized; (3) family owned and managed firms appear to have worse management; (4) firms facing an environment of lighter labor market regulations, and more human capital intensive organizations specialize relatively more in "people management". There is evidence for complementarities between ICT, decentralization and management, but the relationship is complex and identification of the productivity effects of organizational practices remain a challenge for future research.productivity, organization, management, decentralization

Differences in Social Preferences - Are They Profitable for the Firm?

This paper analyzes the impact of heterogeneous (social) preferences on the weighting and combination of performance measures as well as on a firm’s profitability. We consider rivalry, egoism and altruism as extreme forms within the continuum of possible preferences and show that the principal can typically exploit both the altruistic and rivalistic behavior of his agents. Firm profits reach their maximum value if the agents are differentiated as much as possible in their individual characteristics. We provide further insight; namely, that in order to realize these gains in profitability, it is necessary to reallocate participation in performance measures such that competitive agents are privileged as compared to altruistic agents. In this context, stochastic interdependencies are of importance since they yield overlapping functions of the share parameters, causing additional adaptations in the optimal design of the wage compensation system

Agricultural extension services and gender equality: An institutional analysis of four districts in Ethiopia

Decentralized delivery of public services has been promoted as a means to enhance citizen voice and make service provision more responsive to users. Ethiopia has undertaken two rounds of decentralization, making first the regional states and then the district governments responsible for providing key public services. This paper explores whether decentralization has improved the quality of service delivery and citizen satisfaction with the services provided, focusing on agricultural extension. Specifically, we examine whether services are responsive to the needs and expressed demands of poor farmers, including women farmers. We focus on the institutional arrangements through which agricultural extension services are provided and how these contribute to efficiency, effectiveness, and equity in service delivery.agricultural extension, Decentralization, Gender, institutional analysis,

Cooperation networks and innovation: A complex system perspective to the analysis and evaluation of a EU regional innovation policy programme

Recent developments in innovation theory and policy have led policymakers to assign particular importance to supporting networks of cooperation among heterogeneous economic actors, especially in production systems composed of small and medium enterprises. Such innovative policies call for parallel innovations in policy analysis, monitoring and assessment. Our analysis of a policy experiment aimed at supporting innovation networks in the Italian region of Tuscany intends to address some issues connected with the design, monitoring and evaluation of such interventions. Combining tools from ethnographic research and social networks analysis, we explore the structural elements of the policy programme, its macroscopic impact on the regional innovation system, and the success of individual networks in attaining their specific objectives. This innovative approach allows us to derive some general methodological suggestions for the design and evaluation of similar programmes.Innovation policy, cooperation networks, evaluation, regional development, SMEs production systems, complex systems

Organization based multiagent architecture for distributed environments

[EN]Distributed environments represent a complex field in which applied solutions should be flexible and include significant adaptation capabilities. These environments are related to problems where multiple users and devices may interact, and where simple and local solutions could possibly generate good results, but may not be effective with regards to use and interaction. There are many techniques that can be employed to face this kind of problems, from CORBA to multi-agent systems, passing by web-services and SOA, among others. All those methodologies have their advantages and disadvantages that are properly analyzed in this documents, to finally explain the new architecture presented as a solution for distributed environment problems. The new architecture for solving complex solutions in distributed environments presented here is called OBaMADE: Organization Based Multiagent Architecture for Distributed Environments. It is a multiagent architecture based on the organizations of agents paradigm, where the agents in the architecture are structured into organizations to improve their organizational capabilities. The reasoning power of the architecture is based on the Case-Based Reasoning methology, being implemented in a internal organization that uses agents to create services to solve the external request made by the users. The OBaMADE architecture has been successfully applied to two different case studies where its prediction capabilities have been properly checked. Those case studies have showed optimistic results and, being complex systems, have demonstrated the abstraction and generalizations capabilities of the architecture. Nevertheless OBaMADE is intended to be able to solve much other kind of problems in distributed environments scenarios. It should be applied to other varieties of situations and to other knowledge fields to fully develop its potencial.[ES]Los entornos distribuidos representan un campo de conocimiento complejo en el que las soluciones a aplicar deben ser flexibles y deben contar con gran capacidad de adaptación. Este tipo de entornos está normalmente relacionado con problemas donde varios usuarios y dispositivos entran en juego. Para solucionar dichos problemas, pueden utilizarse sistemas locales que, aunque ofrezcan buenos resultados en términos de calidad de los mismos, no son tan efectivos en cuanto a la interacción y posibilidades de uso. Existen múltiples técnicas que pueden ser empleadas para resolver este tipo de problemas, desde CORBA a sistemas multiagente, pasando por servicios web y SOA, entre otros. Todas estas mitologías tienen sus ventajas e inconvenientes, que se analizan en este documento, para explicar, finalmente, la nueva arquitectura presentada como una solución para los problemas generados en entornos distribuidos. La nueva arquitectura aquí se llama OBaMADE, que es el acrónimo del inglés Organization Based Multiagent Architecture for Distributed Environments (Arquitectura Multiagente Basada en Organizaciones para Entornos Distribuidos). Se trata de una arquitectura multiagente basasa en el paradigma de las organizaciones de agente, donde los agentes que forman parte de la arquitectura se estructuran en organizaciones para mejorar sus capacidades organizativas. La capacidad de razonamiento de la arquitectura está basada en la metodología de razonamiento basado en casos, que se ha implementado en una de las organizaciones internas de la arquitectura por medio de agentes que crean servicios que responden a las solicitudes externas de los usuarios. La arquitectura OBaMADE se ha aplicado de forma exitosa a dos casos de estudio diferentes, en los que se han demostrado sus capacidades predictivas. Aplicando OBaMADE a estos casos de estudio se han obtenido resultados esperanzadores y, al ser sistemas complejos, se han demostrado las capacidades tanto de abstracción como de generalización de la arquitectura presentada. Sin embargo, esta arquitectura está diseñada para poder ser aplicada a más tipo de problemas de entornos distribuidos. Debe ser aplicada a más variadas situaciones y a otros campos de conocimiento para desarrollar completamente el potencial de esta arquitectura