Offering a unifying theoretical perspective not readily available in any other text, this innovative guide to econometrics uses simple geometrical arguments to develop students' intuitive understanding of basic and advanced topics, emphasizing throughout the practical applications of modern theory and nonlinear techniques of estimation. One theme of the text is the use of artificial regressions for estimation, reference, and specification testing of nonlinear models, including diagnostic tests for parameter constancy, serial correlation, heteroscedasticity, and other types of mis-specification. Explaining how estimates can be obtained and tests can be carried out, the authors go beyond a mere algebraic description to one that can be easily translated into the commands of a standard econometric software package. Covering an unprecedented range of problems with a consistent emphasis on those that arise in applied work, this accessible and coherent guide to the most vital topics in econometrics today is indispensable for advanced students of econometrics and students of statistics interested in regression and related topics. It will also suit practising econometricians who want to update their skills. Flexibly designed to accommodate a variety of course levels, it offers both complete coverage of the basic material and separate chapters on areas of specialized interest.

Estimation and Inference in Econometrics

The Social Psychology of Organizations.

This handbook looks to provide academics and students with a comprehensive and holistic understanding of the phenomenon of innovation. Innovation spans a number of fields within the social sciences and humanities: Management, Economics, Geography, Sociology, Politics, Psychology, and History. Consequently, the rapidly increasing body of literature on innovation is characterized by a multitude of perspectives based on, or cutting across, existing disciplines and specializations. Scholars of innovation can come from such diverse starting points that much of this literature can be missed, and so constructive dialogues missed. The editors of The Oxford Handbook of Innovation have carefully selected and designed twenty-one contributions from leading academic experts within their particular field, each focusing on a specific aspect of innovation. These have been organized into four main sections, the first of which looks at the creation of innovations, with particular focus on firms and networks. Section Two provides an account of the wider systematic setting influencing innovation and the role of institutions and organizations in this context. Section Three explores some of the diversity in the working of innovation over time and across different sectors of the economy, and Section Four focuses on the consequences of innovation with respect to economic growth, international competitiveness, and employment. An introductory overview, concluding remarks, and guide to further reading for each chapter, make this handbook a key introduction and vital reference work for researchers, academics, and advanced students of innovation. Contributors to this volume - Jan Fagerberg, University of Oslo William Lazonick, INSEAD Walter W. Powell, Stanford University Keith Pavitt, SPRU Alice Lam, Brunel University Keith Smith, INTECH Charles Edquist, Linkoping David Mowery, University of California, Berkeley Mary O'Sullivan, INSEAD Ove Granstrand, Chalmers Bjorn Asheim, University of Lund Rajneesh Narula, Copenhagen Business School Antonello Zanfei, Urbino Kristine Bruland, University of Oslo Franco Malerba, University of Bocconi Nick Von Tunzelmann, SPRU Ian Miles, University of Manchester Bronwyn Hall, University of California, Berkeley Bart Verspagen , ECIS Francisco Louca, ISEG Manuel M. Godinho, ISEG Richard R. Nelson, Mario Pianta, Urbino Bengt-Ake Lundvall, Aalborg

The Oxford Handbook of Innovation

Social Psychology of Organizations

Open Innovation: The New Imperative for Creating and Profiting from Technology

Building absorptive capacity to organise inbound open innovation in traditional industries

Few studies on open innovation (OI) have addressed OI practices in small and medium sized enterprises (SMEs) and how their use of OI and resulting benefits differ from large enterprises. The lack of resources in SMEs to engage in looking outward is said to be a barrier to OI, but at the same time this shortage is cited as a motive for looking beyond organizational boundaries for technological knowledge. We investigate how OI dimensions have an impact on the innovative performance of SMEs in comparison to large companies. The key finding is that the effects of OI practices in SMEs often differ from those in large firms. SMEs are more effective in using different OI practices simultaneously when they introduce new products on the market whereas this is less the case for large firms. Turnover from new products in SMEs is driven by IP protection mechanisms while large firms in this case benefit more from their search strategies. However, the strengths of these differences between SMEs and large firms.

https://papers.ssrn.com/sol3/Delivery.cfm/SSRN_ID1940704_code943901.pdf?abstractid=1940704&mirid=5

Open Innovation Practices in SMEs and Large Enterprises

Few studies on open innovation (OI) address OI practices in small and medium-sized enterprises (SMEs) and how their use of OI and the resulting benefits differ from those of large enterprises. The lack of resources in SMEs to engage in looking outward is said to be a barrier to OI, but at the same time this shortage is cited as a motive for looking beyond organisational boundaries for technological knowledge. We investigate how OI dimensions impact the innovative performance of SMEs in comparison to large companies. The key finding is that the effects of OI practices in SMEs often differ from those in large firms. SMEs are more effective in using different OI practices simultaneously when they introduce new products on the market, whereas this is less the case for large firms. Turnover from new products in SMEs is driven by intellectual property protection mechanisms, while large firms in this case benefit more from their search strategies.

Open innovation practices in SMEs and large enterprises

https://isiarticles.com/bundles/Article/pre/pdf/21069.pdf

Research collaboration and R&D outsourcing: Different R&D personnel requirements in SMEs

Teirlinck P. and Spithoven A. The spatial organization of innovation: open innovation, external knowledge relations and urban structure, Regional Studies. The increased use of external knowledge relations, complementary to in-house research and development, influences the way firms are organized to manage innovation. The ‘new’ imperative of open innovation promotes the idea that firms organize innovation, to a greater extent, in interaction with outside parties. This paper argues that both the organization of innovation as well as the use of external knowledge depends on the physical, socio-economic and cultural environment. The outcome of the analysis supports the idea that (open) innovation is spatially organized. Contrary to the expectations, innovative firms in less urbanized areas show a higher degree of openness. Teirlinck P. et Spithoven A. L'organisation geographique de l'innovation: l'innovation ouverte, les rapports de connaissance externe et l'ossature urbaine, Regional Studies. L'emploi accru ...

/pdf/the-spatial-organisation-of-innovation-open-innovation-3jqpxu7pt0.pdf

André Spithoven

Papers

Building absorptive capacity to organise inbound open innovation in traditional industries

Open Innovation Practices in SMEs and Large Enterprises

Open innovation practices in SMEs and large enterprises

Research collaboration and R&D outsourcing: Different R&D personnel requirements in SMEs

The spatial organisation of innovation: open innovation, external knowledge relations and urban structure