247 resultados para media markets


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The removal of organics from copper electrolyte solutions after solvent extraction by dual media filtration is one of the most efficient ways to ensure the clean electrolyte flow into the electrowinning. The clean electrolyte will ensure the good quality cathode plate production. Dual media filtration uses two layers of filter media for filtration as anthracite and garnet respectively. The anthracite layer will help the coalescing of the entrained organic droplets which will then float to the top of the filter, and back to the solvent extraction process. The garnet layer will catch any solids left in the electrolyte traveling through the filter media. This thesis will concentrate on characterization of five different anthracites in order to find some differences using specific surface area analysis, particle size analysis, and morphology analysis. These results are compared to the pressure loss values obtained from lab column tests and bed expansion behavior. The goal of the thesis was to find out if there were any differences in the anthracite which would make the one perform better than the other. There were no big differences found on any aspect of the particle characterization, but some found differences should be further studied in order to confirm the meaning of the porosity, surface area, intensity mean and intensity SD (Standard Deviation) on anthracites and their use in dual media filtration. The thesis work analyzed anthracite samples the way that is not found on any public literature sources, and further studies on the issue would bring more knowledge to the electrolyte process.

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Financial industry has recently encountered many changes in the business environment. Increased regulation together with growing competition is forcing commercial banks to rethink their business models. In order to maintain profitability in the new environment, banks are focusing more into activities that yield noninterest income. This is a shift away from the traditional intermediation function of banks. This study aims to answer the question if the shift from traditional income yielding activities to more innovative noninterest activities is logical in terms of profitability and risk in Nordics. This study also aims to answer the question if diversification within the noninterest income categories has impact on profitability and risk and if there are certain categories of noninterest income that are better than others in terms of profitability and risk in Nordics. Results show that diversification between interest and noninterest activities and increase in the share of noninterest income have a negative impact on the risk adjusted returns and risk profile. Results also show that further diversification within the noninterest income categories has negative impact on risk adjusted profitability and risk while an increase of the share of commission and fee income category of total noninterest income has a positive impact on risk adjusted profitability and risk. Results are logical and in line with previous research (De Young & Roland, 2001; Stiroh, 2004). Results provide useful information to banks and help them better evaluate outcomes of different income diversification strategies.

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Despite the unstable situation at the moment in Russia, the Russian market and St. Petersburg have been a very attractive from the point of view of Finnish companies. The objective of this research was to define how a Finnish accounting firm should perform its market entry to Russian markets as a part of its internationalization process. In addition, the special characteristics that support the internationalization to Russia were examined together with the implications from the behavior of potential customers at the market. The actual market entry mode was developed based on the theories of Uppsala model, transaction cost economics and the network approach. Additional emphasis was given for the service point of view. The primary data in this research was collected through semi-structured interviews with professionals from the Russian market. The results of this research show that there exists potential especially at the accounting markets in Russia. However, the current unstable situation and sanctions in Russia have led to situation where the price-sensitivity among customers is high, and costs savings are searched from multiple processes in organizations. Therefore, the accounting company should perform its market entry in small incremental steps to decrease the risks involved, and to gain specific market knowledge before committing more resources into Russian markets. A simplified process was developed to evaluate the suitable market entry mode. As a result, the level of commitment and market knowledge affect the final entry model of the firm, as well as defined goals for the particular market.

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Already one-third of the human population uses social media on a daily basis. The biggest social networking site Facebook has over billion monthly users. As a result, social media services are now recording unprecedented amount of data on human behavior. The phenomenon has certainly caught the attention of scholars, businesses and governments alike. Organizations around the globe are trying to explore new ways to benefit from the massive databases. One emerging field of research is the use of social media in forecasting. The goal is to use data gathered from online services to predict offline phenomena. Predicting the results of elections is a prominent example of forecasting with social media, but regardless of the numerous attempts, no reliable technique has been established. The objective of the research is to analyze how accurately the results of parliament elections can be forecasted using social media. The research examines whether Facebook “likes” can be effectively used for predicting the outcome of the Finnish parliament elections that took place in April 2015. First a tool for gathering data from Facebook was created. Then the data was used to create an electoral forecast. Finally, the forecast was compared with the official results of the elections. The data used in the research was gathered from the Facebook walls of all the candidates that were running for the parliament elections and had a valid Facebook page. The final sample represents 1131 candidates and over 750000 Facebook “likes”. The results indicate that creating a forecast solely based on Facebook “likes” is not accurate. The forecast model predicted very dramatic changes to the Finnish political landscape while the official results of the elections were rather moderate. However, a clear statistical relationship between “likes” and votes was discovered. In conclusion, it is apparent that citizens and other key actors of the society are using social media in an increasing rate. However, the volume of the data does not directly increase the quality of the forecast. In addition, the study faced several other limitations that should be addressed in future research. Nonetheless, discovering the positive correlation between “likes” and votes is valuable information that can be used in future studies. Finally, it is evident that Facebook “likes” are not accurate enough and a meaningful forecast would require additional parameters.

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Tutkielman tavoitteena on tutkia teknologian ja sosiaalisen median vaikutusta yksilön arkeen, sekä selvittää, miten saatavilla olevan tiedon määrä näkyy yksilön arkielämässä ja mitä oheisvaikutuksia jatkuvalla tietovirralla ja aktiivisella sosiaalisen median käytöllä on. Lisäksi tavoitteena on muodostaa kuva siitä, miten yhteisöverkkopalvelut ja kokoaikaisen tavoitettavuuden vaatimus vaikuttavat arkeen ja mitä mahdollisia seuraamuksia aktiivisella sosiaalisen median käytöllä on. Tutkielma vastaa seuraaviin kysymyksiin: Katoaako yksityisyyden rajat tulevaisuudessa? Miten lisääntyvä sosiaalisen median käyttö vaikuttaa ihmisten keskinäiseen vuorovaikutukseen työssä ja yksityiselämässä? Kysymyksiin vastataan muodostamalla kattava kuva mobiili- ja verkkopalveluiden aiheuttamista arjen muutoksista, sekä sosiaalisen median käytön nykytilasta. Sosiaalisen median nykytilan tarkastelu keskittyy sosiaalisen median kehitykseen sekä yhteisöverkkopalveluiden suosituimpiin muotoihin. Erityisesti käydään läpi miten palveluita voidaan kategorisoida, sekä miten ne eroavat toisistaan. Tutkielman lopussa keskitytään sosiaalisen median vaikutuksiin: mitä positiivista ja negatiivista yhteisöpalveluiden käytössä on ja miten ne näkyvät niin työ- kuin arkielämässä. Tutkielman tuloksena todetaan, että sosiaalisen median aktiivinen käyttö hämärtää yksityisen ja julkisen tiedon rajaa, sillä sosiaalisessa mediassa yksityiseksi tarkoitettu viesti tai kuva voi levitä merkittävästi laajemmalle yleisölle. Kun epäsuotuisa julkaisu on tehty, on yksityisyys menetetty eikä julkaistua tietoa voi enää täysin poistaa verkosta. Tämä ominaisuus voi aiheuttaa epäsuotuisia sosiaalisia tilanteita etenkin silloin, kun käyttäjän medialukutaito tai teknologiaosaaminen ovat matalalla tasolla. Sosiaalinen yhteydenpito on yhä useamman virtuaalista, mikä edellyttää kykyä ja halua hyödyntää verkkopalveluita madaltuneen yksityisyyden kustannuksella.

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The investments have always been considered as an essential backbone and so-called ‘locomotive’ for the competitive economies. However, in various countries, the state has been put under tight budget constraints for the investments in capital intensive projects. In response to this situation, the cooperation between public and private sector has grown based on public-private mechanism. The promotion of favorable arrangement for collaboration between public and private sectors for the provision of policies, services, and infrastructure in Russia can help to address the problems of dry ports development that neither municipalities nor the private sector can solve alone. Especially, the stimulation of public-private collaboration is significant under the exposure to externalities that affect the magnitude of the risks during all phases of project realization. In these circumstances, the risk in the projects also is becoming increasingly a part of joint research and risk management practice, which is viewed as a key approach, aiming to take active actions on existing global and specific factors of uncertainties. Meanwhile, a relatively little progress has been made on the inclusion of the resilience aspects into the planning process of a dry ports construction that would instruct the capacity planner, on how to mitigate the occurrence of disruptions that may lead to million dollars of losses due to the deviation of the future cash flows from the expected financial flows on the project. The current experience shows that the existing methodological base is developed fragmentary within separate steps of supply chain risk management (SCRM) processes: risk identification, risk evaluation, risk mitigation, risk monitoring and control phases. The lack of the systematic approach hinders the solution of the problem of risk management processes of dry port implementation. Therefore, management of various risks during the investments phases of dry port projects still presents a considerable challenge from the practical and theoretical points of view. In this regard, the given research became a logical continuation of fundamental research, existing in the financial models and theories (e.g., capital asset pricing model and real option theory), as well as provided a complementation for the portfolio theory. The goal of the current study is in the design of methods and models for the facilitation of dry port implementation through the mechanism of public-private partnership on the national market that implies the necessity to mitigate, first and foremost, the shortage of the investments and consequences of risks. The problem of the research was formulated on the ground of the identified contradictions. They rose as a continuation of the trade-off between the opportunities that the investors can gain from the development of terminal business in Russia (i.e. dry port implementation) and risks. As a rule, the higher the investment risk, the greater should be their expected return. However, investors have a different tolerance for the risks. That is why it would be advisable to find an optimum investment. In the given study, the optimum relates to the search for the efficient portfolio, which can provide satisfaction to the investor, depending on its degree of risk aversion. There are many theories and methods in finance, concerning investment choices. Nevertheless, the appropriateness and effectiveness of particular methods should be considered with the allowance of the specifics of the investment projects. For example, the investments in dry ports imply not only the lump sum of financial inflows, but also the long-term payback periods. As a result, capital intensity and longevity of their construction determine the necessity from investors to ensure the return on investment (profitability), along with the rapid return on investment (liquidity), without precluding the fact that the stochastic nature of the project environment is hardly described by the formula-based approach. The current theoretical base for the economic appraisals of the dry port projects more often perceives net present value (NPV) as a technique superior to other decision-making criteria. For example, the portfolio theory, which considers different risk preference of an investor and structures of utility, defines net present value as a better criterion of project appraisal than discounted payback period (DPP). Meanwhile, in business practice, the DPP is more popular. Knowing that the NPV is based on the assumptions of certainty of project life, it cannot be an accurate appraisal approach alone to determine whether or not the project should be accepted for the approval in the environment that is not without of uncertainties. In order to reflect the period or the project’s useful life that is exposed to risks due to changes in political, operational, and financial factors, the second capital budgeting criterion – discounted payback period is profoundly important, particularly for the Russian environment. Those statements represent contradictions that exist in the theory and practice of the applied science. Therefore, it would be desirable to relax the assumptions of portfolio theory and regard DPP as not fewer relevant appraisal approach for the assessment of the investment and risk measure. At the same time, the rationality of the use of both project performance criteria depends on the methods and models, with the help of which these appraisal approaches are calculated in feasibility studies. The deterministic methods cannot ensure the required precision of the results, while the stochastic models guarantee the sufficient level of the accuracy and reliability of the obtained results, providing that the risks are properly identified, evaluated, and mitigated. Otherwise, the project performance indicators may not be confirmed during the phase of project realization. For instance, the economic and political instability can result in the undoing of hard-earned gains, leading to the need for the attraction of the additional finances for the project. The sources of the alternative investments, as well as supportive mitigation strategies, can be studied during the initial phases of project development. During this period, the effectiveness of the investments undertakings can also be improved by the inclusion of the various investors, e.g. Russian Railways’ enterprises and other private companies in the dry port projects. However, the evaluation of the effectiveness of the participation of different investors in the project lack the methods and models that would permit doing the particular feasibility study, foreseeing the quantitative characteristics of risks and their mitigation strategies, which can meet the tolerance of the investors to the risks. For this reason, the research proposes a combination of Monte Carlo method, discounted cash flow technique, the theory of real options, and portfolio theory via a system dynamics simulation approach. The use of this methodology allows for comprehensive risk management process of dry port development to cover all aspects of risk identification, risk evaluation, risk mitigation, risk monitoring, and control phases. A designed system dynamics model can be recommended for the decision-makers on the dry port projects that are financed via a public-private partnership. It permits investors to make a decision appraisal based on random variables of net present value and discounted payback period, depending on different risks factors, e.g. revenue risks, land acquisition risks, traffic volume risks, construction hazards, and political risks. In this case, the statistical mean is used for the explication of the expected value of the DPP and NPV; the standard deviation is proposed as a characteristic of risks, while the elasticity coefficient is applied for rating of risks. Additionally, the risk of failure of project investments and guaranteed recoupment of capital investment can be considered with the help of the model. On the whole, the application of these modern methods of simulation creates preconditions for the controlling of the process of dry port development, i.e. making managerial changes and identifying the most stable parameters that contribute to the optimal alternative scenarios of the project realization in the uncertain environment. System dynamics model allows analyzing the interactions in the most complex mechanism of risk management process of the dry ports development and making proposals for the improvement of the effectiveness of the investments via an estimation of different risk management strategies. For the comparison and ranking of these alternatives in their order of preference to the investor, the proposed indicators of the efficiency of the investments, concerning the NPV, DPP, and coefficient of variation, can be used. Thus, rational investors, who averse to taking increased risks unless they are compensated by the commensurate increase in the expected utility of a risky prospect of dry port development, can be guided by the deduced marginal utility of investments. It is computed on the ground of the results from the system dynamics model. In conclusion, the outlined theoretical and practical implications for the management of risks, which are the key characteristics of public-private partnerships, can help analysts and planning managers in budget decision-making, substantially alleviating the effect from various risks and avoiding unnecessary cost overruns in dry port projects.

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Opinnäytetyö alkoholin verkkokauppamarkkinoista Suomessa on katsaus markkinoihin, jotka ovat olleet esillä mediassa viime aikoina hyvinkin paljon. Opinnäytetyössä analysoidaan Michael Porterin viiden kilpailuvoiman mallin avulla toimialaa. Porterin viisi kilpailuvoimaa ovat toimialan nykyinen kilpailu, tavarantoimittajien neuvotteluvoima, kuluttajien neuvotteluvoima, uusien kilpailijoiden uhka sekä korvaavien tuotteiden tai palveuluiden uhka. Tämän lisäksi työssä tarkastellaan lainsäädäntöä kuudentena kilpailuvoimana, sillä se asettaa merkittävät kilpailulliset reunaehdot. Toimiala-analyysin jälkeen siirrytään varsinaiseen tutkimusongelmaan, jossa pohditaan, kannattaako Alkon perustaa verkkokauppa? Tähän liittyen apututkimuskysymyksissä pohditaan mitä lisäarvoa alkoholin verkkokauppa luo ylipäätään kuluttajille sekä tavarantoimittajille/maahantuojille. Opinnäytetyöhön on liitetty ajatuksia, joita on kerätty haastattelemalla kolmea eri henkilöä, joilta löytyy merkittävästi tietoa alkoholimarkkinoista. Alko Oy ei ole osallisena, vaan opinnäytetyö on kirjoitettu täysin objektiivisesti, vaikka siinä onkin paljon kirjoittan omaa empiriaa. Haastattelut ovat tarkoituksella jätetty keskustelunomaisiksi, ja ovat siten melko subjektiivisia näkemyksiä eri ihmisten silmin. Monopolit herättävät keskustelua ja Alkon asema yhteiskunnallisena monopolina onkin asetettu kriittiseen tarkasteluun tutkimuksessa. Teoriassa käsiteltiin myös Alkon palvelualttiutta 4C –mallin avulla sekä Alkoa yrityksenä analysoitiin SWOT –analyysilla. Näiden teorioiden, toimiala-analyysin, haastatteluiden, kirjoittajan oman näkemyksen sekä eri lähteistä löydetyn informaation myötä voidaan todeta, että Alkon verkkokaupalle on tarve, joka on ollut olemassa jo pitkään. Monopoliaseman oletetaan olleen syy tälle hitaalle kehitykselle. Kuluttajien lisäarvoa olisi ehdottomasti kotiinkuljetus, mutta sitä Alko ei tarjoa. Toisaalta verkkokaupan myötä laajeneva tuotevalikoima on selkeä lisäarvo. Tavarantoimittajien/maahantuojien lisäarvoa ei vielä pystytty selvittämään, koska siihen suhtauduttiin ristiriitaisesti.

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The aim of this study is to propose a stochastic model for commodity markets linked with the Burgers equation from fluid dynamics. We construct a stochastic particles method for commodity markets, in which particles represent market participants. A discontinuity in the model is included through an interacting kernel equal to the Heaviside function and its link with the Burgers equation is given. The Burgers equation and the connection of this model with stochastic differential equations are also studied. Further, based on the law of large numbers, we prove the convergence, for large N, of a system of stochastic differential equations describing the evolution of the prices of N traders to a deterministic partial differential equation of Burgers type. Numerical experiments highlight the success of the new proposal in modeling some commodity markets, and this is confirmed by the ability of the model to reproduce price spikes when their effects occur in a sufficiently long period of time.

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Emerging markets have experienced rapid economic growth, and manufacturing firms have had to face the effects of globalisation. Some of the major emerging economies have been able to create a supportive business environment that fosters innovation, and China is a good example of a country that has been able to increase value-added investments. Conversely, when we look at Russia, another big emerging market, we witness a situation in which domestic firms struggle more with global competitiveness. Innovation has proven to be one of the most essential ingredients for firms aiming to grow and become more competitive. In emerging markets, the business environment sets many constraints for innovation. However, open strategic choices in new product development enable companies in emerging markets to expand their resource base and capability building. Networking and close inter-firm cooperation are essential in this regard. In this dissertation, I argue that technology transfer is one of the key tools for these companies to become internationally networked and to improve their competitiveness. It forces companies to reach outside the company and national borders, which in many cases, is a major challenge for firms in emerging markets. This dissertation focuses on how companies can catch up with competitiveness in emerging markets. The empirical studies included in the dissertation are based on analyses of survey data mainly of firms and their strategies in the Russian manufacturing industry. The dissertation contributes to the current strategic management literature by further investigating technology management strategies in manufacturing firms in emerging markets and the benefits of more open approaches to new product development and innovation.

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Tutkimus sai innoituksensa, kun tutkija huomasi tarpeen liiketaloudelliselle, ajantasaiselle ja realistiselle tutkimukselle Pohjois-Korean markkinoista, joka kuvailisi markkinoiden olemassaolevia ja puuttuvia rakenteita sekä tutkisi mahdollisuuksia ylittää puuttuvat rakenteet. Institutionaalinen teoria valittiin sopivaksi viitekehykseksi kuvailla ja tutkia markkinarakennetta. Tutkimuskysymys muotoiltiin seuraavasti: “Miten ulkomaiset yritykset voivat reagoida puuttuviin markkinarakenteisiin Pohjois-Koreassa?”. Tutkimuskysymys jaettiin kolmeen osakysymykseen: (1) Millainen on Pohjois-Korean markkinoiden institutionaalinen ympäristö? (2) Mitkä ovat merkittävimmät puuttuvat markkinarakenteet Pohjois-Koreassa? (3) Mitä mahdollisuuksia ulkomaisilla yrityksillä voisi olla reagoida puuttuviin markkinarakenteisiin? Tutkimus toteutettiin kvalitatiivisena, koska tutkimuskysymys on deskriptiivinen. Aineisto kerättiin asiantuntijahaastattelun ja kvalitatiivisen sisällönanalyysin keinoin. Primääriaineiston muodostavat 2 asiantuntijahaastattelua ja sekundääriaineiston muodostavat 95 artikkelia, jotka kerättiin 40 lähteestä. Aineisto analysoitiin kvalitatiivisen sisällönanalyysin keinoin. Aineisto koodattiin, luokiteltiin ja esitettiin kokonaisuuksina luokittelurungon avulla, joka laadittiin tutkimusta varten muodostetun teoreettisen viitekehyksen mukaan. Tulokset ja johtopäätökset voidaan tiivistää seuraavasti. (1) Pohjois-Korean markkinan instituutioihin vaikuttaa kaksoisrakenne, jossa muodollinen, sosialistinen rakenne ja epämuodollinen, markkinalähtöinen rakenne toimivat päällekkäin. (2) Puuttuvia rakenteita on sekä markkinan kontekstissa että markkinatasolla. Puutteet ovat osittain seurausta vanhojen rakenteiden korvaantumisesta uusilla, jotka eivät ole institutionalisoituneet. (3) Yritykset voivat käyttää samoja mahdollisuuuksia reagoida puuttuviin markkinarakenteisiin Pohjois-Koreassa, joita kehittyvien markkinoiden yhteydessä on esitetty. Sen tulkittiin vähentävän käsitystä, jonka mukaan Pohjois-Korean markkina on liian erikoinen yritystoiminnalle. (4) Kasvava keskiluokka sekä yrittäjyyden ja naisten yhä merkittävämpi rooli liike-elämässä aiheuttavat alhaalta ylöspäin suuntautuvaa kehitystä markkinoilla. Nämä ovat merkkejä viimeaikaisesta kehityksestä, jotka eivät ole saaneet laajaa huomiota länsimaisessa mediassa. Se korostaa tarvetta liiketaloudelliselle, ajantasaiselle jatkotutkimukselle Pohjois-Korean markkinoista.

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In this work an agent based model (ABM) was proposed using the main idea from the Jabłonska-Capasso-Morale (JCM) model and maximized greediness concept. Using a multi-agents simulator, the power of the ABM was assessed by using the historical prices of silver metal dating from the 01.03.2000 to 01.03.2013. The model results, analysed in two different situations, with and without maximized greediness, have proven that the ABM is capable of explaining the silver price dynamics even in utmost events. The ABM without maximal greediness explained the prices with more irrationalities whereas the ABM with maximal greediness tracked the price movements with more rational decisions. In the comparison test, the model without maximal greediness stood as the best to capture the silver market dynamics. Therefore, the proposed ABM confirms the suggested reasons for financial crises or markets failure. It reveals that an economic or financial collapse may be stimulated by irrational and rational decisions, yet irrationalities may dominate the market.