Coolant Flow and Heat Transfer in Pebble-Bed Reactor Core

This thesis gathers knowledge about ongoing high-temperature reactor projects around the world. Methods for calculating coolant flow and heat transfer inside a pebble-bed reactor core are also developed. The thesis begins with the introduction of high-temperature reactors including the current state of the technology. Process heat applications that could use the heat from a high-temperature reactor are also introduced. A suitable reactor design with data available in literature is selected for the calculation part of the thesis. Commercial computational fluid dynamics software Fluent is used for the calculations. The pebble-bed is approximated as a packed-bed, which causes sink terms to the momentum equations of the gas flowing through it. A position dependent value is used for the packing fraction. Two different models are used to calculate heat transfer. First a local thermal equilibrium is assumed between the gas and solid phases and a single energy equation is used. In the second approach, separate energy equations are used for the phases. Information about steady state flow behavior, pressure loss, and temperature distribution in the core is obtained as results of the calculations. The effect of inlet mass flow rate to pressure loss is also investigated. Data found in literature and the results correspond each other quite well, considered the amount of simplifications in the calculations. The models developed in this thesis can be used to solve coolant flow and heat transfer in a pebble-bed reactor, although additional development and model validation is needed for better accuracy and reliability.

Success factors of customer and supplier master data system

Especially in global enterprises, key data is fragmented in multiple Enterprise Resource Planning (ERP) systems. Thus the data is inconsistent, fragmented and redundant across the various systems. Master Data Management (MDM) is a concept, which creates cross-references between customers, suppliers and business units, and enables corporate hierarchies and structures. The overall goal for MDM is the ability to create an enterprise-wide consistent data model, which enables analyzing and reporting customer and supplier data. The goal of the study was defining the properties and success factors of a master data system. The theoretical background was based on literature and the case consisted of enterprise specific needs and demands. The theoretical part presents the concept, background, and principles of MDM and then the phases of system planning and implementation project. Case consists of background, definition of as is situation, definition of project, evaluation criterions and concludes the key results of the thesis. In the end chapter Conclusions combines common principles with the results of the case. The case part ended up dividing important factors of the system in success factors, technical requirements and business benefits. To clarify the project and find funding for the project, business benefits have to be defined and the realization has to be monitored. The thesis found out six success factors for the MDM system: Well defined business case, data management and monitoring, data models and structures defined and maintained, customer and supplier data governance, delivery and quality, commitment, and continuous communication with business. Technical requirements emerged several times during the thesis and therefore those can’t be ignored in the project. Conclusions chapter goes through these factors on a general level. The success factors and technical requirements are related to the essentials of MDM: Governance, Action and Quality. This chapter could be used as guidance in a master data management project.

Calculation of the carbon footprint of Finnish barley products - methodology and possible applications

The purpose of this thesis was to define how product carbon footprint analysis and its results can be used in company's internal development as well as in customer and interest group guidance, and how these factors are related to corporate social responsibility. From-cradle-to-gate carbon footprint was calculated for three products; Torino Whole grain barley, Torino Pearl barley, and Elovena Barley grit & oat bran, all of them made of Finnish barley. The carbon footprint of the Elovena product was used to determine carbon footprints for industrial kitchen cooked porridge portions. The basic calculation data was collected from several sources. Most of the data originated from Raisio Group's contractual farmers and Raisio Group's cultivation, processing and packaging specialists. Data from national and European literature and database sources was also used. The electricity consumption for porridge portions' carbon footprint calculations was determined with practical measurements. The carbon footprint calculations were conducted according to the ISO 14044 standard, and the PAS 2050 guide was also applied. A consequential functional unit was applied in porridge portions' carbon footprint calculations. Most of the emissions from barley products' life cycle originate from primary production. The nitrous oxide emissions from cultivated soil and the use and production of nitrogenous fertilisers contribute over 50% of products' carbon footprint. Torino Pearl barley has the highest carbon footprint due to the lowest processing output. The reductions in products' carbon footprint can be achieved with developments in cultivation and grain processing. The carbon footprint of porridge portion can be reduced by using domestically produced plant-based ingredients and by making the best possible use of the kettle. Carbon footprint calculation can be used to determine possible improvement points related to corporate environmental responsibility. Several improvement actions are related to economical and social responsibility through better raw material utilization and expense reductions.

Biogeochemistry in acid sulphate soil landscapes and small urban centres in Western Finland

The overall purpose of this thesis was to increase the knowledge on the biogeochemistry of rural acid sulphate (AS) soil environments and urban forest ecosystems near small towns in Western Finland. In addition, the potential causal relationship between the distribution of AS soils and geographical occurence of multiple sclerosis (MS) disease was assessed based on a review of existing literature and data. Acid sulphate soils, which occupy an area of approximately 17–24 million hectare worldwide, are regarded as the nastiest soils in the world. Independent of the geographical locality of these soils, they pose a great threat to their surrounding environment if disturbed. The abundant metal-rich acid drainage from Finnish AS soils, which is a result of sulphide oxidation due to artificial farmland drainage, has significant but spatially and temporally variable ecotoxicological impacts on biodiversity and community structure of fish, benthic invertebrates and macrophytes. This has resulted in mass fish kills and even eradication of sensitive fish species in affected waters. Moreover, previous investigations demonstrated significantly enriched concentrations of Co, Ni, Mn and Al, metals which are abundantly mobilised in AS soils, in agricultural crops (timothy grass and oats) and approximately 50 times higher concentrations of Al in cow milk originating from AS soils in Western Finland. Nevertheless, the results presented here demonstrate, in general, relatively moderate metal concentrations in oats and cabbage grown on AS soils in Western Finland, although some of the studied fields showed anomalous values of metals (e.g. Co and Ni) in both the soil and target plants (especially oats), similar to that of the previous investigations. The results indicated that the concentrations of Co, Ni, Mn and Zn in oats and Co and Zn in cabbage were governed by soil geochemistry as these metals were correlated with corresponding concentrations extracted from the soil by NH4Ac-EDTA and NH4Ac, respectively. The concentrations of Cu and Fe in oats and cabbage were uncorrelated to that of the easily soluble concentrations in the soils, suggesting that biological processes (e.g. plant-root processes) overshadow geochemical variation. The concentrations of K and Mg in cabbage, which showed a low spread and were strongly correlated to the NH4Ac extractable contents in the soil, were governed by both the bioavailable fractions in the topsoil and plant-uptake mechanisms. The plant´s ability to regulate its uptake of Ca and P (e.g. through root exudates) seemed to be more important than the influence of soil geochemistry. The distribution of P, K, Ca, Mg, Mn and S within humus, moss and needles in and around small towns was to a high degree controlled by biological cycling, which was indicated by the low correlation coefficients for P, K, Ca, Mg and S between humus and moss, and the low spread of these nutrients in moss and needles. The concentration variations of elements in till are mainly due to natural processes (e.g. intrusions, weathering, mineralogical variations in the bedrock). There was a strong spatial pattern for B in humus, moss and needles, which was suggested to be associated with anthropogenic emissions from nearby town centres. Geogenic dust affected the spatial distribution of Fe and Cr in moss, while natural processes governed the Fe anomaly found in the needles. The spatial accumulation patterns of Zn, Cd, Cu, Ni and Pb in humus and moss were strong and diverse, and related to current industry, the former steel industry, coal combustion, and natural geochemical processes. An intriguing Cu anomaly was found in moss. Since it was located close to a main railway line and because the railway line´s electric cables are made of Cu, it was suggested that the reason for the Cu anomaly is corrosion of these cables. In Western Finland, where AS soils are particularly abundant and enrich the metal concentrations of stream waters, cow milk and to some extent crops, an environmental risk assessment would be motivated to elucidate if the metal dispersion affect human health. Within this context, a topic of concern is the distribution of multiple sclerosis as high MS prevalence rates are found in the main area of AS soils. Regionally, the AS soil type in the Seinäjoki area has been demonstrated to be very severe in terms of metal leaching, this area also shows one of the highest MS rates reported worldwide. On a local scale, these severe AS soil types coincide well with the corresponding MS clustering along the Kyrönjoki River in Seinäjoki. There are reasons to suspect that these spatial correlations are causal, as multiple sclerosis has been suggested to result from a combination of genetic and environmental factors.

Network effects: Scale development and implications for new product performance

More and more innovations currently being commercialized exhibit network effects, in other words, the value of using the product increases as more and more people use the same or compatible products. Although this phenomenon has been the subject of much theoretical debate in economics, marketing researchers have been slow to respond to the growing importance of network effects in new product success. Despite an increase in interest in recent years, there is no comprehensive view on the phenomenon and, therefore, there is currently incomplete understanding of the dimensions it incorporates. Furthermore, there is wide dispersion in operationalization, in other words, the measurement of network effects, and currently available approaches have various shortcomings that limit their applicability, especially in marketing research. Consequently, little is known today about how these products fare on the marketplace and how they should be introduced in order to maximize their chances of success. Hence, the motivation for this study was driven by the need to increase our knowledge and understanding of the nature of network effects as a phenomenon, and of their role in the commercial success of new products. This thesis consists of two parts. The first part comprises a theoretical overview of the relevant literature, and presents the conclusions of the entire study. The second part comprises five complementary, empirical research publications. Quantitative research methods and two sets of quantitative data are utilized. The results of the study suggest that there is a need to update both the conceptualization and the operationalization of the phenomenon of network effects. Furthermore, there is a need for an augmented view on customers’ perceived value in the context of network effects, given that the nature of value composition has major implications for the viability of such products in the marketplace. The role of network effects in new product performance is not as straightforward as suggested in the existing theoretical literature. The overwhelming result of this study is that network effects do not directly influence product success, but rather enhance or suppress the influence of product introduction strategies. The major contribution of this study is in conceptualizing the phenomenon of network effects more comprehensively than has been attempted thus far. The study gives an augmented view of the nature of customer value in network markets, which helps in explaining why some products thrive on these markets whereas others never catch on. Second, the study discusses shortcomings in prior literature in the way it has operationalized network effects, suggesting that these limitations can be overcome in the research design. Third, the study provides some much-needed empirical evidence on how network effects, product introduction strategies, and new product performance are associated. In general terms, this thesis adds to our knowledge of how firms can successfully leverage network effects in product commercialization in order to improve market performance.

Enhancing Collaboration Between Marketing and Sales

Researchers’ interest toward cross-functional relationships has increased over the last decades, indicating the importance of collaboration of different functions. However, marketing-sales relationship has started to interest researchers only recently, even though collaboration between these functions is critical for companies’ success and customer satisfaction. The purpose of this study is to examine how collaboration between marketing and sales can be enhanced, and thus explore marketing-sales relationship and factors influencing on the collaboration between these functions. Literature review of this study draws together relevant literature and research concerning the topic. Empirical part explores marketing-sales relationships in a b-to-b company. The empirical research was conducted through six semi-structured interviews. Interviewees represented three different departments - each department’s marketing and sales manager were interviewed. All the interviewees considered that marketing-sales collaboration within the company should be improved. In the analysis certain factors impeding as well as facilitating the collaboration were recognized. Based on these, and lack of facilitating factors, the marketing-sales relationships within the company were defined as aligned relationships. Consequently, marketing-sales collaboration should be enhanced in all the departments by strengthening the facilitative elements. This study provides an overall view on marketing-sales collaboration, its elements and relationship types. Based on this study one can understand factors influencing on the marketing-sales collaboration and recognize the types of marketing-sales relationship.

Key success factors and process for IT project portfolio management

The importance of Information Technology (IT) in the business environment is continuously growing. This stimulates the increase of size, complexity and number of IT projects and raises the need for IT Project Portfolio Management (IT PPM). While being actively discussed for the last few decades, IT PPM has a short history of practical implementation. This creates inconsistency in the views of different authors and provides an opportunity for additional research. As a first step, this research explores the existing studies and brings together the views of different authors on IT PPM. As a result, a high-level IT PPM Process Cycle and a set of Key Success Factors for IT PPM are proposed. IT PPM Process Cycle gives an overview of the main elements of IT PPM process, while the set of Key Success Factors provides a number of factors that should be considered during the implementation. As a second step, both theoretical deliverables are empirically tested by a case study and a survey conducted in a big multinational company. The case study is used to analyze process framework of the studied company towards the developed IT PPM Process Cycle. Subsequently, a survey was conducted among subject matter experts of the same company to evaluate the importance and relevance of the proposed Key Success Factors. Finally, this thesis concludes with findings made during the case study and provides an empirically tested selection of factors to be taken into account. These two deliverables can be used by both academics and practitioners to close the gaps in existing literature and assist in IT PPM implementation.

Oxidation rates of carbon and nitrogen in char residues from solid fuels

Computational fluid dynamics (CFD) modeling is an important tool in designing new combustion systems. By using CFD modeling, entire combustion systems can be modeled and the emissions and the performance can be predicted. CFD modeling can also be used to develop new and better combustion systems from an economical and environmental point of view. In CFD modeling of solid fuel combustion, the combustible fuel is generally treated as single fuel particles. One of the limitations with the CFD modeling concerns the sub-models describing the combustion of single fuel particles. Available models in the scientific literature are in many cases not suitable as submodels for CFD modeling since they depend on a large number of input parameters and are computationally heavy. In this thesis CFD-applicable models are developed for the combustion of single fuel particles. The single particle models can be used to improve the combustion performance in various combustion devices or develop completely new technologies. The investigated fields are oxidation of carbon (C) and nitrogen (N) in char residues from solid fuels. Modeled char-C oxidation rates are compared to experimental oxidation rates for a large number of pulverized solid fuel chars under relevant combustion conditions. The experiments have been performed in an isothermal plug flow reactor operating at 1123-1673 K and 3-15 vol.% O2. In the single particle model, the char oxidation is based on apparent kinetics and depends on three fuel specific parameters: apparent pre-exponential factor, apparent activation energy, and apparent reaction order. The single particle model can be incorporated as a sub-model into a CFD code. The results show that the modeled char oxidation rates are in good agreement with experimental char oxidation rates up to around 70% of burnout. Moreover, the results show that the activation energy and the reaction order can be assumed to be constant for a large number of bituminous coal chars under conditions limited by the combined effects of chemical kinetics and pore diffusion. Based on this, a new model based on only one fuel specific parameter is developed (Paper III). The results also show that reaction orders of bituminous coal chars and anthracite chars differ under similar conditions (Paper I and Paper II); reaction orders of bituminous coal chars were found to be one, while reaction orders of anthracite chars were determined to be zero. This difference in reaction orders has not previously been observed in the literature and should be considered in future char oxidation models. One of the most frequently used comprehensive char oxidation models could not explain the difference in the reaction orders. In the thesis (Paper II), a modification to the model is suggested in order to explain the difference in reaction orders between anthracite chars and bituminous coal chars. Two single particle models are also developed for the NO formation and reduction during the oxidation of single biomass char particles. In the models the char-N is assumed to be oxidized to NO and the NO is partly reduced inside the particle. The first model (Paper IV) is based on the concentration gradients of NO inside and outside the particle and the second model is simplified to such an extent that it is based on apparent kinetics and can be incorporated as a sub-model into a CFD code (Paper V). Modeled NO release rates from both models were in good agreement with experimental measurements from a single particle reactor of quartz glass operating at 1173-1323 K and 3-19 vol.% O2. In the future, the models can be used to reduce NO emissions in new combustion systems.

Integration of Electronic Commerce and Enterprise Systems

The necessity of EC (Electronic Commerce) and enterprise systems integration is perceived from the integrated nature of enterprise systems. The proven benefits of EC to provide competitive advantages to the organizations force enterprises to adopt and integrate EC with their enterprise systems. Integration is a complex task to facilitate seamless flow of information and data between different systems within and across enterprises. Different systems have different platforms, thus to integrate systems with different platforms and infrastructures, integration technologies, such as middleware, SOA (Service-Oriented Architecture), ESB (Enterprise Service Bus), JCA (J2EE Connector Architecture), and B2B (Business-to-Business) integration standards are required. Huge software vendors, such as Oracle, IBM, Microsoft, and SAP suggest various solutions to address EC and enterprise systems integration problems. There are limited numbers of literature about the integration of EC and enterprise systems in detail. Most of the studies in this area have focused on the factors which influence the adoption of EC by enterprise or other studies provide limited information about a specific platform or integration methodology in general. Therefore, this thesis is conducted to cover the technical details of EC and enterprise systems integration and covers both the adoption factors and integration solutions. In this study, many literature was reviewed and different solutions were investigated. Different enterprise integration approaches as well as most popular integration technologies were investigated. Moreover, various methodologies of integrating EC and enterprise systems were studied in detail and different solutions were examined. In this study, the influential factors to adopt EC in enterprises were studied based on previous literature and categorized to technical, social, managerial, financial, and human resource factors. Moreover, integration technologies were categorized based on three levels of integration, which are data, application, and process. In addition, different integration approaches were identified and categorized based on their communication and platform. Also, different EC integration solutions were investigated and categorized based on the identified integration approaches. By considering different aspects of integration, this study is a great asset to the architectures, developers, and system integrators in order to integrate and adopt EC with enterprise systems.

Service Productization and Product Servitization in The Contract Manufacturing Company

The role of contract manufacturing and subcontracting has been seen in black and white in product and service point of view. It used to be seen either as a product or a service. In the thesis product-service system, offering combining products and services, was discussed. Theory was created from two perspectives; Service productization via Business Model generation and product servitization via New Service Development process. Target for the case study was to point out new ways of service thinking and ways for changing business environment in contract manufacturing, especially in customer satisfaction and profitability point of view. The case study is following the New Service Development process phases. First ideas were collected from literature and via sales management interviews. Service offering and tool for service requirement evaluation was created. Last financial results of example service scenarios were calculated. It is recommended to take service offering into internal use and further develop it into modular service model. It is also recommended to take created customer service requirement evaluation tool into use for capturing customer service needs but also for communicating those internally.

Validation and Selection of Transportation Cost Drivers with Advanced Methods

In today's logistics environment, there is a tremendous need for accurate cost information and cost allocation. Companies searching for the proper solution often come across with activity-based costing (ABC) or one of its variations which utilizes cost drivers to allocate the costs of activities to cost objects. In order to allocate the costs accurately and reliably, the selection of appropriate cost drivers is essential in order to get the benefits of the costing system. The purpose of this study is to validate the transportation cost drivers of a Finnish wholesaler company and ultimately select the best possible driver alternatives for the company. The use of cost driver combinations as an alternative is also studied. The study is conducted as a part of case company's applied ABC-project using the statistical research as the main research method supported by a theoretical, literature based method. The main research tools featured in the study include simple and multiple regression analyses, which together with the literature and observations based practicality analysis forms the basis for the advanced methods. The results suggest that the most appropriate cost driver alternatives are the delivery drops and internal delivery weight. The possibility of using cost driver combinations is not suggested as their use doesn't provide substantially better results while increasing the measurement costs, complexity and load of use at the same time. The use of internal freight cost drivers is also questionable as the results indicate weakening trend in the cost allocation capabilities towards the end of the period. Therefore more research towards internal freight cost drivers should be conducted before taking them in use.

Managing innovation in oil and gas companies: A proposed framework for the management of innovation at Ecopetrol S.A.

Actually, the term innovation seems to be one of the most used in any kind of business practices. However, in order to get value from it, companies need to define a systematic and structured way to manage innovation. This process can be difficult and very risky since it is associated with the development of firm´s capabilities which involves human and technical challenges according to the context of a firm. Additionally, it seems not to exist a magic formula to manage innovation and what may work in a company may not work in another, even though in the same type of industry. In this sense, the purpose of this research is to identify how the oil and gas companies can manage innovation and what are the main elements, their interrelations and structure, required for managing innovation effectively in this critical sector for the world economy. The study follows a holistic single case study in a National Oil Company (NOC) of a developing country to explore how innovation performs in the industry, what are the main elements regarding innovation management and their interactions according to the nature of the industry. Contributory literature and qualitative data from the case study company (with the use of non-standardized interviews) is collected and analyzed. The research confirms the relevance and importance of the definition and implementation of an innovation framework in order to ensure the generation of value and organize as well as guide the efforts in innovation done by a firm. In this way based on the theoretical background, research´s findings, and in the company´s innovation environment and conditions, a framework for managing innovation at the case study company is suggested. This study is one of the few, if not only one, that has reviewed the way as oil and gas companies manage innovation and its practical implementation in a company from a developing country. Both researchers and practitioners will get a photograph of understanding innovation management in the oil and gas industry and its growing necessity in the business world. Some issues have been highlighted, so that future study can be focused in those directions. In fact, even though research on innovation management has significantly grown, there are still many issues that need to be addressed to get insight about managing innovation in various contexts and industries. Studies are mostly performed in the context of large firms and in developed countries, so then research in the context of developing countries is still almost an untouched area, especially in the oil and gas industry. Finally, from the research it seems crucial to explore the effect of some innovation-related variables such as: open innovation in third world economies and in state-own companies; the impact of mergers and acquisitions in innovation performance in oil and gas companies; value measurement in the first stages of the innovation process; and, development of innovation capabilities in companies from developing nations.

Microenterprise success and failure factors

The purpose of this study is to identify factors contributory to success or failure of a microenterprise. Microenterprise is an enterprise with less than10 employees. About 99 % of all Finnish enterprises fall in this category. Earlier studies do not provide a comprehensive view on microenterprise success and failure factors. The theoretical part discusses the definition of success and failure, previous research and results already established about the topic and categories of business environment. The empirical part is founded on quantitative survey results from 204 Finnish microenterprises. The questions of the survey were based on previous surveys, literature and intuition. Both success and failure factors were enquired. Summary of the results was made and the results were compared among successful and unsuccessful enterprises. In open-end questions, the most important factors mentioned to affect enterprise performance positively were "Employees", "Customers" and "Skills, knowledge, education and experience." The most important factors affecting enterprise performance negatively were "Economical situation", "Employees availability and attitudes" as well as "Political decisions and passed laws". In Likert-scale set of questions, the most significant factors from the point of view of enterprise performance were "Product and / or service good quality", "Good reputation of the company" and "Staff's strong skills". The least significant factors were "Effect of marketing and promotion", "Conflicts" and "Differences of points of views of different generations". By Likert-scale set of questions, it was also tested which operations the enterprises perform, and according to the results, successful enterprises found "Performing a market research", "Use of distribution channel in sales" and "Expanding to new markets" less important than unsuccessful enterprises. The tests proved that the age of the enterprise correlates with the level of success of the enterprise: The younger the enterprise, the more successful it is. In addition, the results show that if the enterprise is family based, the less successful it is. In addition, there was also slight correlation between success and the level of growth, indicating that higher the level of growth the more successful the enterprise is. From the business environment point of view, the key finding was that internal factors affect more on the success of an enterprise than external factors, and that external factors affect more on the failure of an enterprise than internal factors.

Project Controlling and Management in IT Consulting Enterprise

Liiketoiminnan organisoiminen projekteiksi on erittäin yleistä nykyisin. Suuri osa projekteista erityisesti IT-alalla epäonnistuu kuitenkin saavuttamaan tavoitteensa. Projektin menestys on tyypillisesti mitattu budjetin, aikataulun, laadun ja sidosryhmien tyytyväisyyden perusteella. Tämän Pro Gradu -tutkielman tarkoituksena on etsiä tyypillisimpiä syitä projektien epäonnistumiseen ja löytää projektien seurannan ja mittaamisen avulla keinoja näiden epäonnistumisten ehkäisemiseen. Tutkimusmenetelmänä on laadullinen tapaustutkimus. Empiirinen aineisto on kerätty haastattelujen, eri materiaalien analysoinnin ja havainnoinnin avulla. Teoriaosuus tarjoaa kattavan yhteenvedon projektiliiketoiminnan ja yksittäisten projektien johtamiseen sekä projektien seurantaan ja mittaamiseen aikaisemman kirjallisuuden perusteella. Empiirisessä osiossa suoritetaan analyysi Case -yrityksen projektien seurantaan ja valittuihin projekteihin. Analyysien, haastattelujen ja havainnoinnin pohjalta tehdään johtopäätökset tyypillisimmistä, ongelmia projekteissa aiheuttavista tekijöistä sekä näiden esiintymisestä projektin elinkaaren eri vaiheissa. Mahdolliset ongelmia ehkäisevät keinot esitetään myös. Ehdotuksia kehityskohteiksi esitetään lopuksi teorian ja empirian pohjalta.

Cooperative strategy in emerging markets - analysis of interfirm r&d cooperation and performance in Russian manufacturing companies

Emerging markets have come to play a significant role in the world, not only due to their strong economic growth but because they have been able to foster an increasing number of innovative high technology oriented firms. However, as the markets continue to change and develop, there remain many companies in emerging markets that struggle with their competitiveness and innovativeness. To improve competitive capabilities, many scholars have come to favor interfirm cooperation, which is perceived to help companies access new knowledge and complementary resources and, by so doing, enables them to catch up quickly with Western competitors. Regardless of numerous attempts by strategic management scholars, the research field remains very fragmented and lacks understanding on how and when interfirm cooperation contributes to firm performance and competiveness in emerging markets. Furthermore, the reasons why interfirm R&D sometimes succeeds but fails at other times frequently remain unidentified. This thesis combines the extant literature on competitive and cooperative strategy, dynamic capabilities, and R&D cooperation while studying interfirm R&D relationships in and between Russian manufacturing companies. Employing primary survey data, the thesis presents numerous novel findings regarding the effect of R&D cooperation and different types of R&D partner on firms’ exploration and exploitation performance. Utilizing a competitive strategy framework enables these effects to be explained in more detail, and especially why interfirm cooperation, regardless of its potential, has had a modest effect on the general competitiveness of emerging market firms. This thesis contributes especially to the strategic management literature and presents a more holistic perspective on the usefulness of cooperative strategy in emerging markets. It provides a framework through which it is possible to assess the potential impacts of different R&D cooperation partners and to clarify the causal relationships between cooperation, performance, and long term competitiveness.