Dorsal periaqueductal gray stimulation facilitates anxiety-, but not panic-related, defensive responses in rats tested in the elevated T-maze

The escape response to electrical or chemical stimulation of the dorsal periaqueductal gray matter (DPAG) has been associated with panic attacks. In order to explore the validity of the DPAG stimulation model for the study of panic disorder, we determined if the aversive consequences of the electrical or chemical stimulation of this midbrain area can be detected subsequently in the elevated T-maze. This animal model, derived from the elevated plus-maze, permits the measurement in the same rat of a generalized anxiety- and a panic-related defensive response, i.e., inhibitory avoidance and escape, respectively. Facilitation of inhibitory avoidance, suggesting an anxiogenic effect, was detected in male Wistar rats (200-220 g) tested in the elevated T-maze 30 min after DPAG electrical stimulation (current generated by a sine-wave stimulator, frequency at 60 Hz) or after local microinjection of the GABA A receptor antagonist bicuculline (5 pmol). Previous electrical (5, 15, 30 min, or 24 h before testing) or chemical stimulation of this midbrain area did not affect escape performance in the elevated T-maze or locomotion in an open-field. No change in the two behavioral tasks measured by the elevated T-maze was observed after repetitive (3 trials) electrical stimulation of the DPAG. The results indicate that activation of the DPAG caused a short-lived, but selective, increase in defensive behaviors associated with generalized anxiety.

The interconnections between customer loyalty, employee engagement and business performance

The interconnections of customer loyalty, employee engagement and business performance have been separately examined in several previous studies but actually a coherent study combining all of these components together has been lacking. This thesis aims to study all of these components and their interrelations at the same time in order to understand the organization as a one whole. The thesis includes an encompassing review of the previous studies related to customer loyalty and employee engagement. The theory presents both the theoretical approaches and the empirical findings from the earlier literature and builds therefore a strong fundament for the empirical part of this thesis. The empirical data in this thesis was provided by three case companies of a Nordic group operating in a business-to-business professional services branch and it used the Net Promoter Score method for measuring both customer loyalty and employee engagement. The thesis left interesting research questions open and provides therefore an intriguing study field for the future researches.

Ball Bearing Model Performance on Various Sized Rotors with and without Centrifugal and Gyroscopic Forces

Bearing performance signi cantly a ects the dynamic behaviors and estimated working life of a rotating system. A common bearing type is the ball bearing, which has been under investigation in numerous published studies. The complexity of the ball bearing models described in the literature varies. Naturally, model complexity is related to computational burden. In particular, the inclusion of centrifugal forces and gyroscopic moments signi cantly increases the system degrees of freedom and lengthens solution time. On the other hand, for low or moderate rotating speeds, these e ects can be neglected without signi cant loss of accuracy. The objective of this paper is to present guidelines for the appropriate selection of a suitable bearing model for three case studies. To this end, two ball bearing models were implemented. One considers high-speed forces, and the other neglects them. Both models were used to study a three structures, and the simulation results were.

The Forecast Performance of Model-Free Implied Volatility: Evidence from DAX Index Options

Volatility has a central role in various theoretical and practical applications in financial markets. These include the applications related to portfolio theory, derivatives pricing and financial risk management. Both theoretical and practical applications require good estimates and forecasts for the asset return volatility. The goal of this study is to examine the forecast performance of one of the more recent volatility measures, model-free implied volatility. Model-free implied volatility is extracted from the prices in the option markets, and it aims to provide an unbiased estimate for the market’s expectation on the future level of volatility. Since it is extracted from the option prices, model-free implied volatility should contain all the relevant information that the market participants have. Moreover, model-free implied volatility requires less restrictive assumptions than the commonly used Black-Scholes implied volatility, which means that it should be less biased estimate for the market’s expectations. Therefore, it should also be a better forecast for the future volatility. The forecast performance of model-free implied volatility is evaluated by comparing it to the forecast performance of Black-Scholes implied volatility and GARCH(1,1) forecast. Weekly forecasts for six years period were calculated for the forecasted variable, German stock market index DAX. The data consisted of price observations for DAX index options. The forecast performance was measured using econometric methods, which aimed to capture the biasedness, accuracy and the information content of the forecasts. The results of the study suggest that the forecast performance of model-free implied volatility is superior to forecast performance of GARCH(1,1) forecast. However, the results also suggest that the forecast performance of model-free implied volatility is not as good as the forecast performance of Black-Scholes implied volatility, which is against the hypotheses based on theory. The results of this study are consistent with the majority of prior research on the subject.

Sustainable Development – the Key to Competitiveness CSR as an added value to Alstom’s corporate performance

Corporate social responsibility or CSR is today a widely recognized concept which is receiving in- creasing popularity extremely rapidly, especially in the business world. The pressure on companies to carry out their business practices in ethical manners, which promote the wellbeing of the environment and society, is coming from all directions and all stakeholders. Alstom, a French multinational conglomerate operating in the rail transport and energy industry, is no exception to this norm. This company, which will be used as the case example in this thesis, is being brought to bay in terms of engaging in CSR practices and practicing business with high ethics. It is surely not a negatively conceived phenomenon that CSR is being put on a pedestal – quite the opposite. Instead of corporations practicing CSR only to meet their stakeholder requirements through practicing window dressing, many corporations actually strive to benefit from the practice of corporate social business. In addition to bringing benefit to externals a corporation such as Alstom itself can benefit from being involved in CSR. The purpose of this thesis is to evaluate the current strategic values and the future perspectives of CSR at Alstom and moreover the added value which the practice of CSR could bring Alstom as a business. A set of perspectives from a futures studies viewpoint is looked at, with critical examination of the company’s current corporate practices as well as the CSR related studies and theories written for corporations. Through this, some solutions and practices will be suggested to Alstom in order for it to fully utilize the potential of corporate social business and the value it can bring in the most probable futures that the company is expected to face. By utilizing the Soft Systems Methodology (SSM), a method mainly used in organizations to solve problematic issues in management and policy contexts, a process is developed to see what improvements could be of help in improving Alstom and its way towards involving CSR in its business practices even more than it currently does. Alstom is already deeply involved in the practicing of CSR and its vision has a strong emphasis on this popular concept of today. In order to stay in the game and to use CSR as a competitive advantage to the company, Alstom ought to embed corporate social practices even deeper in its organizational culture by using them as a tool to reduce risk and costs, increasing employee commitment and customer loyalty and to attract socially responsible investors, just to name a few. CSR as a concept is seen to have great potential in the future, an opportunity Alstom will not miss.

Content marketing performance measurement system in the context of customer acquisition

This thesis examines how content marketing is used in B2B customer acquisition and how content marketing performance measurement system is built and utilized in this context. Literature related to performance measurement, branding and buyer behavior is examined in the theoretical part in order to identify the elements influence on content marketing performance measurement design and usage. Qualitative case study is chosen in order to gain deep understanding of the phenomenon studied. The case company is a Finnish software vendor, which operates in B2B markets and has practiced content marketing for approximately two years. The in-depth interviews were conducted with three employees from marketing department. According to findings content marketing performance measurement system’s infrastructure is based on target market’s decision making processes, company’s own customer acquisition process, marketing automation tool and analytics solutions. The main roles of content marketing performance measurement system are measuring performance, strategy management and learning and improvement. Content marketing objectives in the context of customer acquisition are enhancing brand awareness, influencing brand attitude and lead generation. Both non-financial and financial outcomes are assessed by single phase specific metrics, phase specific overall KPIs and ratings related to lead’s involvement.

The use of film coating on the performance of treated corn seed

The main objective of seed coating technology using polymers is to improve the physical, physiological and sanitary characteristics of seed performance. The objectives of the present study were to determine: the plantability of corn seeds treated with insecticide, fungicide and graphite, covered with a film coating; the dust retention on treated corn seeds; and the leaching of applied products on corn seeds covered by a film coating. Seed plantability was determined by counting the skips and double seeds; dust was determined by using fiberglass paper in mg.100 g-1 of seeds; and the leaching was determined by collecting the material leached in a 10 cm layer of sand after irrigation. The following conclusions were made: seeds covered with film coating effectively reduce skips and double seeds; film coating effectively reduces the formation of dust from the seeds; film coated seeds minimize the leaching of the insecticide applied in seed treatment; and there are differences in effectiveness related to film coating type and dosage.

PERFORMANCE ANALYSIS OF A TACTICAL ASSET ALLOCATION – Evidence from the Black–Litterman model based fixed income portfolio

Over time the demand for quantitative portfolio management has increased among financial institutions but there is still a lack of practical tools. In 2008 EDHEC Risk and Asset Management Research Centre conducted a survey of European investment practices. It revealed that the majority of asset or fund management companies, pension funds and institutional investors do not use more sophisticated models to compensate the flaws of the Markowitz mean-variance portfolio optimization. Furthermore, tactical asset allocation managers employ a variety of methods to estimate return and risk of assets, but also need sophisticated portfolio management models to outperform their benchmarks. Recent development in portfolio management suggests that new innovations are slowly gaining ground, but still need to be studied carefully. This thesis tries to provide a practical tactical asset allocation (TAA) application to the Black–Litterman (B–L) approach and unbiased evaluation of B–L models’ qualities. Mean-variance framework, issues related to asset allocation decisions and return forecasting are examined carefully to uncover issues effecting active portfolio management. European fixed income data is employed in an empirical study that tries to reveal whether a B–L model based TAA portfolio is able outperform its strategic benchmark. The tactical asset allocation utilizes Vector Autoregressive (VAR) model to create return forecasts from lagged values of asset classes as well as economic variables. Sample data (31.12.1999–31.12.2012) is divided into two. In-sample data is used for calibrating a strategic portfolio and the out-of-sample period is for testing the tactical portfolio against the strategic benchmark. Results show that B–L model based tactical asset allocation outperforms the benchmark portfolio in terms of risk-adjusted return and mean excess return. The VAR-model is able to pick up the change in investor sentiment and the B–L model adjusts portfolio weights in a controlled manner. TAA portfolio shows promise especially in moderately shifting allocation to more risky assets while market is turning bullish, but without overweighting investments with high beta. Based on findings in thesis, Black–Litterman model offers a good platform for active asset managers to quantify their views on investments and implement their strategies. B–L model shows potential and offers interesting research avenues. However, success of tactical asset allocation is still highly dependent on the quality of input estimates.

Performance improvement in mediterranean operations using risk management analysis : Case study of Containerships Group Ltd

Emerging markets of Northern Africa and Turkey provide growth opportunities for logistics service companies in the middle of low growth environment of European Union. The purpose of this research is to explore and analyze the risk factors in container shipping industry and third party logistics (3PL) services. The research empirically examined the risk factors, which are related within the interaction between these two parties in emerging markets of Mediterranean area. The previous studies have provided a valuable insight into the operational risks faced by container shipping industries. However, most of these studies have focused on one or several operational risk factors from a single point of view, and no studies have inclusively examined the possible operational risks faced in the container shipping industry from dual perspective of 3PL provider and its customers. A questionnaire has been deployed to collect related data; and the impacts of the risks were then be assessed and ranked using the method of risk mapping. Respondents were located in Turkey, Algeria, Tunisia, and Libya. Research presents the most important risk factors identified, and compares them between 3PL provider and its customers. The research also provide some risk mitigation strategies for the key risk factors, and tried to figure out a common risk picture, which guides the managers in both sides to have a better decisions and as a result, improve the performance of the container shipping operations. Challenge during project execution time was that customers identified vast amount of more risks than what was the case with logistics service operator.

What is the current state of cloud service research and its promise for the future? A systematic literature review

The information technology (IT) industry has recently witnessed the proliferation of cloud services, which have allowed IT service providers to deliver on-demand resources to customers over the Internet. This frees both service providers and consumers from traditional IT-related burdens such as capital and operating expenses and allows them to respond rapidly to new opportunities in the market. Due to the popularity and growth of cloud services, numerous researchers have conducted studies on various aspects of cloud services, both positive and negative. However, none of those studies have connected all relevant information to provide a holistic picture of the current state of cloud service research. This study aims to investigate that current situation and propose the most promising future directions. In order to determine achieve these goals, a systematic literature review was conducted on studies with a primary focus on cloud services. Based on carefully crafted inclusion criteria, 52 articles from highly credible online sources were selected for the review. To define the main focus of the review and facilitate the analysis of literature, a conceptual framework with five main factors was proposed. The selected articles were organized under the factors of the proposed framework and then synthesized using a narrative technique. The results of this systematic review indicate that the impacts of cloud services on enterprises were the factor best covered by contemporary research. Researchers were able to present valuable findings about how cloud services impact various aspects of enterprises such as governance, performance, and security. By contrast, the role of service provider sub-contractors in the cloud service market remains largely uninvestigated, as do cloud-based enterprise software and cloud-based office systems for consumers. Moreover, the results also show that researchers should pay more attention to the integration of cloud services into legacy IT systems to facilitate the adoption of cloud services by enterprise users. After the literature synthesis, the present study proposed several promising directions for cloud service research by outlining research questions for the underexplored areas of cloud services, in order to facilitate the development of cloud service markets in the future.

Liberal versus neo-developmental convention to growth: why has Brazil shown a poor performance since the 1980s?

The main goal of our paper is to provide analytical arguments to explain why Brazil has not been able to restore its long-term capacity for economic growth, especially compared with its economy in the 1950-1979 period (7.3 per cent per year on average) or even with a select number of emerging economies in the 1980-2010 period(6.7 per cent per year on average, against 2.3 per cent per year on average in Brazil in the same period). We build our idea of convention to growth based on the Keynesian concept of convention. For our purposes, this concept could be briefly summarized as the way in which the set of public and private economic decisions related to different objectives, such as how much to produce and invest, how much to charge for products and services, how to finance public and private debt, how to finance research and development, and so on, are indefinitely - or at least until there is no change- carried out by the political, economic and social institutions. This analytical reference can be connected to the Neo-Schumpeterian National Innovation System (NIS) concept, which emphasizes not only institutions associated with science and technology per se, but also the complex interaction among them and other institutions. In this paper we identify two conventions to long-term growth in the last three decades in Brazil: the liberal and the neo-developmental. We show that the poor performance in the Brazilian economy in terms of real GDP growth from the 1980s on can be explained by a weak coordination between short-term macroeconomic policies and long-term industrial and technological policies. This weak coordination, in turn, can be associated with the prevalence of the liberal convention from the 1990s on, which has emphasized price stabilization to the detriment of a neo-developmental strategy whose primary goal is to sustain higher rates of growth and full employment in Brazil.

Efficient Algorithms for Coastal Geographic Problems

The increasing performance of computers has made it possible to solve algorithmically problems for which manual and possibly inaccurate methods have been previously used. Nevertheless, one must still pay attention to the performance of an algorithm if huge datasets are used or if the problem iscomputationally difficult. Two geographic problems are studied in the articles included in this thesis. In the first problem the goal is to determine distances from points, called study points, to shorelines in predefined directions. Together with other in-formation, mainly related to wind, these distances can be used to estimate wave exposure at different areas. In the second problem the input consists of a set of sites where water quality observations have been made and of the results of the measurements at the different sites. The goal is to select a subset of the observational sites in such a manner that water quality is still measured in a sufficient accuracy when monitoring at the other sites is stopped to reduce economic cost. Most of the thesis concentrates on the first problem, known as the fetch length problem. The main challenge is that the two-dimensional map is represented as a set of polygons with millions of vertices in total and the distances may also be computed for millions of study points in several directions. Efficient algorithms are developed for the problem, one of them approximate and the others exact except for rounding errors. The solutions also differ in that three of them are targeted for serial operation or for a small number of CPU cores whereas one, together with its further developments, is suitable also for parallel machines such as GPUs.

Intellectual capital, knowledge management practices and firm performance

Researchers have widely recognised and accepted that firm performance is increasingly related to knowledge-based issues. Two separately developed literature streams, intellectual capital (IC) and knowledge management (KM), have been established as the key discussions related to knowledge-based competitive advantage of the firm. Intellectual capital has provided evidence on the strategic key intangible resources of the firm, which could be deployed to create competitive advantage. Knowledge management, in turn, has focused on the managerial processes and practices which can be used to leverage IC to create competitive advantage. Despite extensive literature on both issues, some notable research gaps remain to be closed. In effect, one major gap within the knowledge management research is the lack of understanding related to its influence on firm performance, while IC researchers have articulated a need to utilise more finegrained conceptual models to better understand the key strategic value-creating resources of the firm. In this dissertation, IC is regarded as the entire intellectual capacity, knowledge and competences of the firm that can be leveraged to achieve sustained competitive advantage. KM practices are defined as organisational and managerial activities that enable the firm to leverage its IC to create value. The objective of this dissertation is to answer the research question: “What is the relationship between intellectual capital, knowledge management practices and firm performance?” Five publications have addressed the research question using different approaches. The first two publications were systematic literature reviews of the extant empirical IC and KM research, which established the current state of understanding regarding the relationship between IC, KM practices and firm performance. Publications III and IV were empirical research articles that assessed the developed conceptual model related to IC, KM practices and firm performance. Finally, Publication V was among the first research papers to merge IC and KM disciplines in order to find out which configurations could yield organisational benefits in terms of innovation and market performance outcomes.

Impact of Product-harm Crisis on Brand Equity: the Moderating Role of Corporate Social Performance

There is an increasing amount of product-harm crisis in the past few years; and the impact of a product-harm crisis becomes more and more influential due to the high increasing speed of globalization. And it is believed that the negative damages to a firm leading to a loss of the intangible assets is bigger than other costs such as the cost of the product recall. Brand equity is a very important and valuable intangible asset for a firm; and it is particularly vulnerable during the crisis. And CSP (CSP) is a hot concept associated with product-harm crisis and brand equity. The aim of this study is to understand how product-harm crisis influences by simultaneously involving CSP as a moderator in a consumer-based level. An experimental study was conducted through an online questionnaire among 198 students in Finland. The questionnaire mainly assessed the consumers’ attitudes towards CSP and brand before/after a fictional product-harm crisis. The results shows that the brand equity was negatively related to the product-harm crisis. And the extent level of crisis’s severity was positively related to the loss of the brand equity; whereas, acknowledged blame was more useful to compensate the loss of brand equity in the low-severity crisis. CSP acted as a moderator role which could compensate the loss of brand equity caused by the product-harm crisis. Managerial implications are also offered for crisis managers, brand managers, and CSR managers.

Performance Degradation Modelling and Techno-Economic Analysis of Lithium-Ion Battery Energy Storage Systems

Transmission system operators and distribution system operators are experiencing new challenges in terms of reliability, power quality, and cost efficiency. Although the potential of energy storages to face those challenges is recognized, the economic implications are still obscure, which introduce the risk into the business models. This thesis aims to investigate the technical and economic value indicators of lithium-ion battery energy storage systems (BESS) in grid-scale applications. In order to do that, a comprehensive performance lithium-ion BESS model with degradation effects estimation is developed. The model development process implies literature review on lifetime modelling, use, and modification of previous study progress, building the additional system parts and integrating it into a complete tool. The constructed model is capable of describing the dynamic behavior of the BESS voltage, state of charge, temperature and capacity loss. Five control strategies for BESS unit providing primary frequency regulation are implemented, in addition to the model. The questions related to BESS dimensioning and the end of life (EoL) criterion are addressed. Simulations are performed with one-month real frequency data acquired from Fingrid. The lifetime and cost-benefit analysis of the simulation results allow to compare and determine the preferable control strategy. Finally, the study performs the sensitivity analysis of economic profitability with variable size, EoL and system price. The research reports that BESS can be profitable in certain cases and presents the recommendations.