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on Project, Program and Portfolio Management |
| By: | Andrea Bellucci (European Commission - Joint Research Centre and MoFiR); Luca Pennacchio (Università di Napoli Parthenope); Alberto Zazzaro (University of Naples Federico II, CSEF and MoFiR.) |
| Abstract: | This paper provides novel empirical evidence on the effectiveness of regional research and innovation policies for small and medium-sized enterprises (SMEs). It investigated two subsidy programs implemented at the regional level in central Italy. One program targeted SMEs’ individual investments in research, and the other focused on collaborative research between SMEs and universities. Using a matched difference-in-differences approach, the empirical analysis showed that the two programs had different effects. The first was successful in stimulating additional private R&D investment and improving firms’ performance. The second had weaker effects, mostly restricted to R&D expenditure and employment. These effects were not always uniformly distributed among project participants. |
| Keywords: | Public Subsidies; R&D; Impact Evaluation; SMEs; Cooperation; Regional Policy. |
| JEL: | H25 L52 O31 O38 R58 |
| Date: | 2017–11–12 |
| URL: | http://d.repec.org/n?u=RePEc:sef:csefwp:488&r=ppm |
| By: | Ternus Lamb, Israel; Pacheco Lacerda, Daniel; Dresch, Aline |
| Abstract: | r e s u m o Este estudo analisa a aplicac¸ão da tecnologia empresarial Odebrecht (TEO) na Braskem S.A, de acordo com os critérios do modelo estrela de Jay Galbraith, apresentando como os conceitos e princípios da TEO se relacionam aos critérios do projeto organizacional de uma empresa do grupo Odebrecht. A escassez de estudos que abordam a TEO enquanto modelo para a arquitetura organizacional é o problema central que motivou esta pesquisa, que se justifica pelas dificuldades enfrentadas por organizac¸ões no Brasil, além da relevância da TEO no ambiente empresarial brasileiro. O trabalho foi desenvolvido utilizando como base a técnica de análise de conteúdo, proposta por Lawrence Bardin para analisar uma série de entrevistas realizadas na Braskem S.A., verificando a coerência entre a teoria e a prática organizacional. A partir dos resultados obtidos, foi possível elaborar um diagrama que incorpora a TEO ao modelo de Galbraith. O desfecho do estudo propõe uma maneira de a TEO ser utilizada no projeto de uma organizac¸ão, de acordo com a proposta de Galbraith. Assim, foi possível concluir que a TEO pode ser utilizada para orientar o projeto de novas organizac¸ões ou o redesenho das existentes tanto no Brasil, quanto no mundo. a b s t r a c t This study analyses the application of the Odebrecht entrepreneurial technology (TEO) in Braskem SA, according to the criteria of Star Model of Galbraith. It aims are to show how the concepts and principles of TEO are applied in the organisational design of an Odebrecht group company. The few studies that deal with TEO as a model for the organisational architecture is the main reason for presenting this study, which is justified by the difficulties faced by organisations in Brazil and the relevance of TEO in the Brazilian business environment. The work makes use of the Bardin technique to analyse a series of interviews in Braskem SA, checking the consistency between theory and organisational practice. As a result, a diagram is drawn up that embodies the TEO to Galbraith model. The outcome of the study proposes a way for TEO be used in the design of an organisation. Thus, it was concluded that TEO can be applied in new or redesigned project organisations in Brazil or in the world. |
| Keywords: | Tecnologia empresarial Odebrecht, Braskem, Modelo estrela, Projeto organizacional, Análise de conteúdo. |
| JEL: | L22 L23 L65 M16 |
| Date: | 2016–08–23 |
| URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:82482&r=ppm |
| By: | Emanuela Reale (CNR IRCRES) |
| Abstract: | The Public Research Funding (PREF) study is to collect information on and analyse national public research funding, providing an overview of its evolution and current state in European and selected non-European countries, particularly as concerns funding themes, fields and the types of allocation (competitive project based versus institutional funding). More specifically, the study aims: — For the countries considered, to collect quantitative and qualitative data (financial data and descriptors) on the evolution of public R&D funding for the period 2000-2014, including robust and reliable estimations of the shares allocated on project basis and as institutional funding; — To break down and provide a detailed analysis public R&D funding in terms of competitive and non-competitive funding, and of the weight placed on scientific-technological (S&T) fields, Key Enabling Technologies (KETs) and Societal Grand Challenges (SGCs); — To describe the funding allocation mechanisms, including flows to and from funding agencies and the criteria used as the basis for allocation decisions. — Using the above-described data, to analyse specific issues in public research policy, particularly concerning the characteristics of national funding profiles and the funding devoted to specific research objectives. The study contributes to the Research and Innovation Observatory (RIO), and provides support for development and implementation of evidence-based policies in allocation of public research funding. |
| Keywords: | public funding, research funding, project funding, institutional funding, performance based funding |
| Date: | 2017–09 |
| URL: | http://d.repec.org/n?u=RePEc:ipt:iptwpa:jrc107599&r=ppm |
| By: | Goldman, Jim; Peress, Joël |
| Abstract: | Entrepreneurs undertake more R&D when financiers are better informed about their projects because they expect to receive more funding for successful projects. Conversely, financiers learn more about projects when entrepreneurs perform more R&D because then the opportunity cost of mis-investing is higher. Thus R&D and financial analysis are mutually reinforcing. Evidence based on two quasi-natural experiments supports this interaction. Quantitatively, investors' learning accounts for over a quarter of the total effect of a policy designed to stimulate R&D. A calibration suggests that the interaction's contribution to income growth represents a third of the total contributions of learning and R&D. |
| Keywords: | capital allocation; Financial Development; growth; Innovation; learning; technological progress |
| JEL: | G20 O31 O4 |
| Date: | 2017–11 |
| URL: | http://d.repec.org/n?u=RePEc:cpr:ceprdp:12433&r=ppm |