This study examines the effects of research and development (R&D) reporting method and managerial knowledge of supervisor compensation on R&D project continuation decisions. The current study employs an experiment with a 2x3 between-participants design, manipulating both R&D reporting method (expense vs. capitalize) and knowledge of supervisor compensation (control group with no knowledge vs. knowledge of non-restricted stock compensation vs. knowledge of restricted stock compensation). Using salient short-term incentives to motivate real earnings management, this study demonstrates that capitalization may result in managers foregoing economically efficient R&D investment opportunities. The results indicate that managerial knowledge of supervisor compensation structure has little influence on managers’ R&D project continuation choices. However, when managers capitalizing R&D expenditures had knowledge that their supervisors received non-restricted (short-term) stock compensation their perceived personal responsibility for the decision significantly decreased. Participants who capitalized R&D expenditures and had knowledge that their supervisor received restricted (long-term) stock compensation rated the importance of making a decision to please their supervisor significantly higher than all other participants. Additionally, participants with knowledge that their supervisors restricted stock compensation were significantly more concerned about the likelihood of negative personal repercussions regardless of R&D reporting method. These findings contribute to the management accounting literature by providing new insights on the influence of knowledge of supervisor compensation on managerial decision making as well as additional insights into the factors that contribute to and limit real earnings management. This study also extends the literature on R&D by providing evidence of the potential for real earnings management when R&D expenditures are capitalized in the absence of personal responsibility.

Submitted by Joana Azevedo (joanad@id.uff.br) on 2017-09-01T15:21:02Z No. of bitstreams: 1 Dissert Eduardo de Assumpção Silva.pdf: 1604099 bytes, checksum: 47a7b2843f5729ca0a320602bc1c384e (MD5) / Approved for entry into archive by Biblioteca da Escola de Engenharia (bee@ndc.uff.br) on 2017-09-04T13:30:26Z (GMT) No. of bitstreams: 1 Dissert Eduardo de Assumpção Silva.pdf: 1604099 bytes, checksum: 47a7b2843f5729ca0a320602bc1c384e (MD5) / Made available in DSpace on 2017-09-04T13:30:26Z (GMT). No. of bitstreams: 1 Dissert Eduardo de Assumpção Silva.pdf: 1604099 bytes, checksum: 47a7b2843f5729ca0a320602bc1c384e (MD5) Previous issue date: 2017-07-18 / A ciência e a tecnologia têm relação direta com o desenvolvimento de um país. Os projetos de pesquisa e desenvolvimento na CNEN são financiados pelos recursos diretos do orçamento da União e das Agências de Fomento como a FINEP e o CNPq. De um modo geral os gerentes de projetos acreditam que conseguem ter sucesso quando completam um projeto no prazo programado, no orçamento e nos requisitos previstos, que é comumente conhecido como “restrição tripla” ou “triângulo de ferro”. Entretanto, na revisão da literatura verificou-se outros critérios de avaliação do sucesso nos projetos, como os benefícios gerados à sociedade, o desenvolvimento das capacidades da equipe, as oportunidades futuras, novas tecnologias, entre outros. Diante dessa questão, buscando auxiliar o gestor na avaliação dessa tipologia de projetos, a pesquisa propôs um modelo com critérios e requisitos baseado na revisão da literatura e buscou através de um questionário medir os graus de importância e de utilização desses critérios junto aos especialistas da CNEN, que atuam diretamente na execução desses projetos. Os resultados revelaram que os critérios propostos no modelo possuem um grau de importância alto, com uma queda em relação à utilização, indicando que os critérios utilizados no modelo podem auxiliar os gestores na avaliação dessa tipologia de projeto. / Science and technology are directly related to the development of a country. The research and development projects at CNEN are financed by the direct resources of the budget of the Union and of the Development Agencies such as FINEP and CNPq. In general, project managers believe they can succeed when they complete a project within the programmed schedule, budget, and anticipated requirements, which is commonly known as a "triple constraint" or "iron triangle." However, in the review of the literature, other criteria for evaluation of success in projects, such as the benefits generated by society, the development of the team's capabilities, future opportunities, new technologies, among others, were verified. Faced with this question, seeking to assist the manager in the evaluation of this typology of projects, the research proposed a model with criteria and requirements based on the literature review and sought through a questionnaire to measure the degrees of importance and use of these criteria with the specialists of CNEN , Which act directly in the execution of these projects. The results showed that the criteria proposed in the model have a high degree of importance, with a decrease in relation to the use, indicating that the criteria used in the model can help managers in the evaluation of this type of project.

The thesis summarizes current state of art for the most recent research capabilities of innovation activities analysis. Its main goal is to assess the factors influencing pace and volume of technological innovativeness throughout the European industry and services sectors considering time span 2002-2008 using country-level Community Innovation Surveys and R&D data. It also attempts to evaluate trends in innovation policy instruments targeted to close the gap between Europe and world innovation leaders such as USA. Complex literature overview, basic empirical and extended instruments' analyses lead to recommendations of optimal governments' policy approaches towards different groups of countries divided by level of innovative performance.

Valuation of R&D projects is quite complex due to the substantial uncertainties in a project's life-cycle phases. The sequential nature of R&D projects continuously provides decision-makers with choices regarding whether and when to undertake future potential investment opportunities. This means that when valuing R&D projects decision-makers should take these factors into account. But R&D project usually takes long time to complete processes for commercialization. If the time to complete is longer, it is easier to trigger the crisis for capital shortage. So it seems very important modeling the capital shortage risk to induce the probability of failure in the pricing model. In this thesis we try to apply the analogy of financial securities subject to credit risk of Jarrow & Turnbull (1995) and attempt to value patents with capital shortage risk in an arbitrage free environment using the martingale measure technique. Furthermore, derive closed form formula for patents valuation which makes application easier than that of the theoretic option model. The major findings are: (1) when considering the effect of the failure frequency (capital shortage risk), the patent value will grow rapidly and then converge in the short run, no matter how other parameters incorporated into the robust analysis; (2) when increasing in the volatility of market revenues with synchronized higher volatility of investment cost, the volatility curve will be distorted to be U-shaped. Meanwhile, lower failure frequency could aggravate the decreasing in the option value. Another issue is when the manager exercises the project with multiple underlying assets, where the assets returns are of non-linear correlation particularly in the non-Normal environment. Non-parametric dependence measures may better employed when explaining co-movement. We focus on the value of a (such as resources development) project in general depends on the price of the multiple products; these are usually correlated to some extent. So the project was treated as having a rainbow option, whose underlying asset prices correlate with each other, and also as having uncertainties that decrease according to the project stage. Based on Cherubini and Luciano’s framework (2002), the risk-neutral copula models are derived to figure decision flexibilities out easily. The main framework studies the valuation of a project (call on Max) by determining the joint risk-neutral distribution of the underlying assets (products) using copulas. Monte-Carlo simulations show that the higher default risk and association among the assets and the expected cost to completion contributes the higher risk premium in our model with dependence structure of Archimedean copula family than traditional Black-Scholes environment. / Valuation of R&D projects is quite complex due to the substantial uncertainties in a project's life-cycle phases. The sequential nature of R&D projects continuously provides decision-makers with choices regarding whether and when to undertake future potential investment opportunities. This means that when valuing R&D projects decision-makers should take these factors into account. But R&D project usually takes long time to complete processes for commercialization. If the time to complete is longer, it is easier to trigger the crisis for capital shortage. So it seems very important modeling the capital shortage risk to induce the probability of failure in the pricing model. In this thesis we try to apply the analogy of financial securities subject to credit risk of Jarrow & Turnbull (1995) and attempt to value patents with capital shortage risk in an arbitrage free environment using the martingale measure technique. Furthermore, derive closed form formula for patents valuation which makes application easier than that of the theoretic option model. The major findings are: (1) when considering the effect of the failure frequency (capital shortage risk), the patent value will grow rapidly and then converge in the short run, no matter how other parameters incorporated into the robust analysis; (2) when increasing in the volatility of market revenues with synchronized higher volatility of investment cost, the volatility curve will be distorted to be U-shaped. Meanwhile, lower failure frequency could aggravate the decreasing in the option value. Another issue is when the manager exercises the project with multiple underlying assets, where the assets returns are of non-linear correlation particularly in the non-Normal environment. Non-parametric dependence measures may better employed when explaining co-movement. We focus on the value of a (such as resources development) project in general depends on the price of the multiple products; these are usually correlated to some extent. So the project was treated as having a rainbow option, whose underlying asset prices correlate with each other, and also as having uncertainties that decrease according to the project stage. Based on Cherubini and Luciano’s framework (2002), the risk-neutral copula models are derived to figure decision flexibilities out easily. The main framework studies the valuation of a project (call on Max) by determining the joint risk-neutral distribution of the underlying assets (products) using copulas. Monte-Carlo simulations show that the higher default risk and association among the assets and the expected cost to completion contributes the higher risk premium in our model with dependence structure of Archimedean copula family than traditional Black-Scholes environment.

This thesis contributes to the analysis of optimal industrial and strategic trade policy in the presence of oligopoly and other forms of imperfect competition, so as to make contact with important empirical regularities and policy concerns, such as international R&D collaboration, unionization and free trade. First, in the context of international competition in which R&D plays an important role, we study the consequences of allowing governments to subsidize R&D and coalition deviation on the R&D collaboration networks. Then we investigate the formation of FTAs as a network formation game. While the analysis of welfare effects takes the central stage, we also analyze the nature of trading regimes that are consistent with the incentives of individual countries. We address the issue of conflict of interests among firms, consumers and governments as well. Finally, we integrate the analysis of international R&D collaboration and strategic trade policies, and demonstrate how an asymmetric equilibrium arises from an international trade model with symmetric countries and symmetric firms, and study whether it is sometimes possible to improve national welfare by jointly implementing trade and industrial policies.

This dissertation investigates three sets of research questions. First, how can partner selection be used as a mechanism to minimize R&D alliance participants’ concerns about knowledge leakage? And what is the nature of the relationship among partner selection and two previously-studied protection mechanisms – governance structure and alliance scope? Extending this research question to the international context, the second set of research questions asks how international R&D alliances differ from their domestic counterparts in partner selection to protect their participants’ valuable knowledge, and how different types of international R&D alliances vary in this regard. Distinguishing bilateral from multilateral R&D alliances, this dissertation examines a third set of questions about how multilateral R&D alliances differ from bilateral ones in partner selection for the purpose of protecting participants’ technological assets. Hypotheses are proposed and tested with a sample of 2,185 R&D alliances involving companies in high technology industries. Results indicate that the more radical the innovation an R&D alliance intends to develop, the more likely the alliance will be formed between Friends than Strangers. However, under the same situation, firms are less likely to select Acquaintances than Strangers. A substitution effect was detected among partner selection, governance structure, and alliance scope used by firms to protect their valuable technological assets from being appropriated in R&D alliances. In addition, no empirical support was found for different partner selection preferences for firms forming domestic R&D alliances versus international R&D alliances. However, results show that firms, when forming trinational R&D alliances and/or traditional international R&D alliances, are more likely to select their prior partners than when forming cross-nation domestic R&D alliances. Moreover, this study shows that when an R&D alliance is formed by multiple companies, partner firms are more likely to be prior partners. I argue that concerns about knowledge leakage explain this result.

It aims at find out the shortage of Value chain activities should be improved of Chinese little recycle companies, through a comparative analysis of value chain activities of a laggard and advanced recycle company. And set the steps to identify opportunities for little recycle companies to gain competitive from low cost and add-value. Finally try to find out the most proper way though the value chain and competitive advantage to develop recycling companies ‘competitiveness. And it also gives some useful suggestions.

The purpose with this thesis was to examine the most significant factors that affect the number of patents applications submitted on a municipality level in Sweden, with the objective to find the most significant of them. Three factors was chosen and analyzed more closely. The three factors was, investments in R&D made by firms, share of human capital and investments in R&D made by universities. Theses factors was tested against the dependent variable patent applications in three hypothesis and a stepwise regression model was conducted, with the objective to find the most significant variable. The result of the study, shows that not all of the factors had a positive effect on the number of patent applications, further the study indicated that the most significant factor for a municipality in order to have a high number of patent applications, was to have a high share of human capital.

The differences between firms‘ book values and market values has drawn attention to investigate what factors are causing this phenomenon. A considerable amount of research was dedicated to investigating the association between firms‘ innovative activity, which results in the patenting of new products or services and firms market value in the context of United States. However, not many studies of similar kind are documented in the Swedish firms context. The purpose of this thesis is to investigate the previous studies, and analyze whether and how patents and R&D are associated with Swedish firms‘ market values. For this study the cross-section and time-series data were collected from publicly listed Swedish companies’ financial statements and the Amadeus database. Investigation begins with an attempt to find out whether R&D and patents are associated. Finally, the hypothesis is tested whether patents are positively associated with Swedish firms’ market values. The results partially support the expectations. There was no strong statistical association found between R&D and patents, however in the final model patents were found to be positively associated with Swedish firms’ market values. A conclusion can be drawn that the patent is a powerful device providing incentives for innovation, while innovation in products and services ensures that our quality of life is increasing.

The first essay titled “Fundamental Sources of Long-run Labour Productivity Improvements in Canada” examines the importance of Research and Development activities, as well as the stock of public infrastructure, and economic openness as sources of growth in labour productivity in the Canadian economy within the last four decades. The second paper titled “R&D Spillovers, Innovation, and Entry” extends a theoretical framework to analyze the impact of R&D spillovers on entry and the resulting equilibrium market structure. It is shown that the degree of spillovers plays a fundamental role on the number of firms entering the market, their R&D activities, and social welfare. The third paper titled “The Search for New Drugs: A Theory of R&D in the Pharmaceutical Industry” uses a dynamic model of optimal patent design and in the presence of information externalities studies the evolution of technological progress in the context of a pharmaceutical industry.