Service product internationalisation : market selection for new service products in a multinational financial service firm

The significance and impact of services in the modern global economy has become greater and there has been more demand for decades in the academic community of international business for further research into better understanding internationalisation of services. Theories based on the internationalisation of manufacturing firms have been long questioned for their applicability to services. This study aims at contributing to understanding internationalisation of services by examining how market selection decisions are made for new service products within the existing markets of a multinational financial service provider. The study focused on the factors influencing market selection and the study was conducted as a case study on a multinational financial service firm and two of its new service products. Two directors responsible for the development and internationalisation of the case service products were interviewed in guided semi-structured interviews based on themes adopted from the literature review and the outcome theoretical framework. The main empirical findings of the study suggest that the most significant factors influencing the market selection for new service products within a multinational financial service firm’s existing markets are: commitment to the new service products by both the management and the rest of the product related organisation; capability and competence by the local country organisations to adopt new services; market potential which combines market size, market structure and competitive environment; product fit to the market requirements; and enabling partnerships. Based on the empirical findings, this study suggests a framework of factors influencing market selection for new service products, and proposes further research issues and methods to test and extend the findings of this research.

Foreign companies’ strategies on the Russian market during the crisis

Concept of crisis is the subject of many studies and publications in specialized articles and in journalistic publications. The thesis includes next key objectives: concept of the crisis is defined, disclosed external and internal factors affected company’s strategy, shown specific characteristics of Russian market and their influence on the foreign companies. The Master’s Thesis identifies successful foreign companies’ strategies on the Russian market during crises in 2008 and 2014. The study is qualitative and it is based on integrative analysis of literature, secondary data and results of the interview, conducted among foreign companies that operates on the Russian market Findings of the thesis show an effect of the crisis on the company’s strategy. It provides information about specific external and internal factors that affects on company’s strategy during the crisis. Theoretical findings help to understand complex concept of crisis and its main aspects in context of strategy. Analysis of specific characteristics of Russian market provides a base for assessment of efficiency of chosen strategy. Comparison between Russian cresses and companies behaviors in these periods shows how different is strategy because of the nature of the crisis. Results of the thesis could be used as a guideline for foreign companies in Russian market during the crisis period

Visual analytics for behavioral and niche market segmentation

Companies require information in order to gain an improved understanding of their customers. Data concerning customers, their interests and behavior are collected through different loyalty programs. The amount of data stored in company data bases has increased exponentially over the years and become difficult to handle. This research area is the subject of much current interest, not only in academia but also in practice, as is shown by several magazines and blogs that are covering topics on how to get to know your customers, Big Data, information visualization, and data warehousing. In this Ph.D. thesis, the Self-Organizing Map and two extensions of it – the Weighted Self-Organizing Map (WSOM) and the Self-Organizing Time Map (SOTM) – are used as data mining methods for extracting information from large amounts of customer data. The thesis focuses on how data mining methods can be used to model and analyze customer data in order to gain an overview of the customer base, as well as, for analyzing niche-markets. The thesis uses real world customer data to create models for customer profiling. Evaluation of the built models is performed by CRM experts from the retailing industry. The experts considered the information gained with help of the models to be valuable and useful for decision making and for making strategic planning for the future.

E-commerce value chain in Russian markets – The role of market specific factors

International e-commerce is still rather new concept and therefore lacks comprehensive research. Different nature of markets and companies has challenged the traditional theories as well as redefined traditional operations. Prior research has mainly concentrated on studying the specific topics as barriers and the choice of international strategy. For this reason, there is a lack of research that comprehensively analyzes the operations of international e-commerce companies. The aim of this study was to increase knowledge on operations of Finnish e-commerce companies in Russia. In order to receive comprehensive knowledge of the operations, research analyzed the internationalization process, the effects of market specific factors to e-commerce and the implementation of various value chain activities of e-commerce. Research focused on examining how companies have seen the peculiarities of Russian markets and how to respond to them. The empiric part of the study was conducted as a qualitative research by interviewing five company representatives and three specialists of international e-commerce and Russian business.The results of this research revealed that having e-commerce in Russia is challenging and requires long term, strategy-based work. E-commerce is assumed to be inherently global business model, but in the case of Russia, numerous e-commerce activities require localization. The most crucial activity to localize is a content and language of content. Even though e-commerce market in Russia has a lot of peculiarities, operating via marketspace decreases the level of bureaucracy and market risk. Despite the challenges, developing e- commerce market in Russia offers a huge potential for companies, whose international strategy needs Russian operation to achieve company goals.

Market anomalies and tactical asset allocation: Utilising market anomalies in multiple asset class portfolios with the Black−Litterman model

This thesis discusses the basic problem of the modern portfolio theory about how to optimise the perfect allocation for an investment portfolio. The theory provides a solution for an efficient portfolio, which minimises the risk of the portfolio with respect to the expected return. A central feature for all the portfolios on the efficient frontier is that the investor needs to provide the expected return for each asset. Market anomalies are persistent patterns seen in the financial markets, which cannot be explained with the current asset pricing theory. The goal of this thesis is to study whether these anomalies can be observed among different asset classes. Finally, if persistent patterns are found, it is investigated whether the anomalies hold valuable information for determining the expected returns used in the portfolio optimization Market anomalies and investment strategies based on them are studied with a rolling estimation window, where the return for the following period is always based on historical information. This is also crucial when rebalancing the portfolio. The anomalies investigated within this thesis are value, momentum, reversal, and idiosyncratic volatility. The research data includes price series of country level stock indices, government bonds, currencies, and commodities. The modern portfolio theory and the views given by the anomalies are combined by utilising the Black-Litterman model. This makes it possible to optimise the portfolio so that investor’s views are taken into account. When constructing the portfolios, the goal is to maximise the Sharpe ratio. Significance of the results is studied by assessing if the strategy yields excess returns in a relation to those explained by the threefactormodel. The most outstanding finding is that anomaly based factors include valuable information to enhance efficient portfolio diversification. When the highest Sharpe ratios for each asset class are picked from the test factors and applied to the Black−Litterman model, the final portfolio results in superior riskreturn combination. The highest Sharpe ratios are provided by momentum strategy for stocks and long-term reversal for the rest of the asset classes. Additionally, a strategy based on the value effect was highly appealing, and it basically performs as well as the previously mentioned Sharpe strategy. When studying the anomalies, it is found, that 12-month momentum is the strongest effect, especially for stock indices. In addition, a high idiosyncratic volatility seems to be positively correlated with country indices on stocks.

Households’ willingness to engage in demand response in the Finnish retail electricity market: an empirical study

If electricity users adjusted their consumption patterns according to time-variable electricity prices or other signals about the state of the power system, generation and network assets could be used more efficiently, and matching intermittent renewable power generation with electricity demand would be facilitated. This kind of adjustment of electricity consumption, or demand response, may be based on consumers’ decisions to shift or reduce electricity use in response to time-variable electricity prices or on the remote control of consumers’ electric appliances. However, while demand response is suggested as a solution to many issues in power systems, actual experiences from demand response programs with residential customers are mainly limited to short pilots with a small number of voluntary participants, and information about what kinds of changes consumers are willing and able to make and what motivates these changes is scarce. This doctoral dissertation contributes to the knowledge about what kinds of factors impact on residential consumers’ willingness and ability to take part in demand response. Saving opportunities calculated with actual price data from the Finnish retail electricity market are compared with the occurred supplier switching to generate a first estimate about how large savings could trigger action also in the case of demand response. Residential consumers’ motives to participate in demand response are also studied by a web-based survey with 2103 responses. Further, experiences of households with electricity consumption monitoring systems are discussed to increase knowledge about consumers’ interest in getting more information on their electricity use and adjusting their behavior based on it. Impacts of information on willingness to participate in demand response programs are also approached by a survey for experts of their willingness to engage in demand response activities. Residential customers seem ready to allow remote control of electric appliances that does not require changes in their everyday routines. Based on residents’ own activity, the electricity consuming activities that are considered shiftable are very limited. In both cases, the savings in electricity costs required to allow remote control or to engage in demand response activities are relatively high. Nonmonetary incentives appeal to fewer households.

Punaisten naisten tiet. Valtiorikosoikeuteen vuonna 1918 joutuneiden Porin seudun naisten toiminta sota-aikana, tuomiot ja myöhemmät elämänvaiheet

Suomen sisällissotaan osallistui vuonna 1918 naisia molemmin puolin rintamaa erilaisissa tehtävissä. Taisteluiden jälkeen yli 5500 punaista naista joutui valtiorikosoikeuteen syytettynä valtiopetoksellisesta toiminnasta. Ne noin 2000 naista, jotka palvelivat punakaartissa aseistettuina, ovat pitkään hallinneet sitä kuvaa, joka suomalaisilla on ollut punaisista naisista. Sen sijaan on tiedetty hyvin vähän niistä naisista, joiden valkoiset katsoivat edistäneen valtiopetosta muilla keinoilla. Tässä tutkimuksessa tarkastellaan, millaisia olivat Porin seudulla ne kapinasta syytetyt naiset, jotka eivät olleet tarttuneet aseisiin ja mikä oli heidän myöhempi kohtalonsa. Työn ensimmäisessä osassa tutkitaan valtiorikosoikeuteen joutuneiden naisten taustaa, toimintaa sota-aikana ja tästä aiheutuneita välittömiä seuraamuksia. Millaisia henkilöitä päätyi valtiorikosoikeuden eteen tuomittavaksi? Millaisissa tehtävissä he olivat sota-aikana toimineet ja miksi? Mitkä seikat olivat oikeudessa raskauttavia, kun valtiorikostuomioita jaettiin? Työn jälkimmäisessä osassa tutkitaan, mitä punaisille naisille tapahtui sodan jälkeen ja miksi näin kävi. Sisällissodan jälkeistä maailmaa hahmotetaan etsimällä vastauksia seuraaviin kysymyksiin: Millainen oli se yhteiskunnassa vallinnut ajan henki, jonka vaikutuspiiriin naiset valtiorikosoikeudesta ja vankilasta palasivat? Miten yhteisö otti heidät vastaan? Miten heihin suhtauduttiin työmarkkinoilla? Miten käsiteltiin punaisia leskiä ja orpoja? Mitä punaisilta odotettiin kansalaisina ja miten heistä pyrittiin muokkaamaan yhteiskuntakelpoisia? Miten poliittisen elämän uudelleenvirittely onnistui ja kiinnostiko se enää näitä naisia? Miten suomalaisen yhteiskunnan muuttuessa myös sen suhtautuminen punaisiin muuttui? Millaisilla toimilla valtiovalta pyrki eri vaiheissa yhtenäistämään rikkirevennyttä kansaa ja miten se näkyi yksittäisten ihmisten elämässä? Ajan kuluessa asenteet muuttuivat ja naiset vanhenivat. Miten naiset kuvasivat kokemaansa myöhemmin omaisilleen? Kysymyksiä pohditaan paikallisesta, Porin seudun näkökulmasta, mutta niitä peilataan kuitenkin jatkuvasti valtakunnalliseen tilanteeseen. Kontekstualisoi- malla paikalliskokemukset laajempaan kokonaisuuteen on voitu paremmin selittää tapahtunutta, ja paikallistutkimuksen kautta on nähty myös koko maassa vallinneita yleisiä olosuhteita. Tutkimuksen kohteena on 267 Porista, Porin maalaiskunnasta ja Ulvilasta kotoisin olevaa naista, jotka joutuivat valtiorikosoikeuden tutkittaviksi. Keskeisimpänä lähdeaineistona ovat seurakuntien rippikirjat ja maistraattien henkikirjat sekä Kansallisarkiston, Kansan arkiston ja Työväen arkistojen sisällissotaa ja sen jälkeistä poliittista elämää valottavat kokoelmat. Tutkimuksen naisista enemmistö oli 18−37-vuotiaita työläisnaisia. Aiemmin rikoksista tuomittuja heidän joukossaan oli hyvin vähän. Suurin osa (n. 71 %) työskenteli punakaartin huollossa keittiö-, siivous- ja vaatetusosastoilla. Noin 21 % työskenteli sairaanhoidossa, ja loput kahdeksan prosenttia olivat punakaartin hallintoa avustavissa muissa tehtävissä. Naiset saivat pääosin lieviä, 2−3 vuoden ehdollisia tuomioita. Vain joka kymmenes nainen tuomittiin ehdottomaan rangaistukseen. Punakaartiin vasta pakomatkalla liittyneet ja kaartissa vähäisissä tehtävissä lyhytaikaisesti toimineet henkilöt vapautettiin syytteistä. Tutkimuksessani olen osoittanut, millaisia vaikeuksia paluu sodanjälkeiseen arkeen tuotti naisille. Varsinkin yksin lastensa kanssa jääneillä oli monenlaisia ongelmia. Sodan aikana levitetty propaganda oli osaltaan lisäämässä vaikeuksia. Toisaalta työtilanne parantui monen naisen osalta jo vuoden 1918 aikana, ja oman punaisen yhteisön tarjoama tuki helpotti arjesta selviytymistä. Elämä tasaantui, naiset perustivat perheitä ja osa palasi työelämään ja politiikkaan. Säilyneiden lähteiden valossa sisällissota näyttäisi radikalisoineen vain pienen osan naisista, kun taas enemmistö kannatti maltillisia sosialidemokraatteja tai jäi kokonaan pois politiikasta. Punaiseksi leimautuminen valtiorikosoikeudessa ei pakottanut naisia muuttamaan uudelle paikkakunnalle; Porin seudulla ja yleensä vielä omassa suvussakin oli riittävästi entisiä punaisia luomassa kollektiivista tukea. Myös valtiovalta pyrki rauhoittamaan poliittista tilannetta ja sopeuttamaan punaisia yhteiskuntaan monin uudistuksin. Naisten kannalta merkittävin myönnytys tapahtui jatkosodan aikana, kun punalesket lopulta oikeutettiin valtiollisen eläkkeen piiriin. Tämä tutkimus on ensimmäinen punaisista naisista laadittu eräänlainen kollektiivinen elämäkerta, jossa on tarkasteltu heidän sodanjälkeistä elämäänsä. Yhteenvetona voidaan todeta, että Porin seudulta valtiorikosoikeuteen joutuneet naiset olivat tavallisia työläisnaisia. Sota ja osallisuus siihen ei tätä asiaa muuttanut. Naiset sopeutuivat yhteiskuntaan nopeasti ja elivät pääosin tavallista työläisperheen arkea sodan jälkeenkin.

Stability of cassava flour-based food bars

The consumption of Brazilian cassava has been reduced due to a lack of adjustment to the modern lifestyle. To reverse this trend, new products could be developed specifically targeted to high-value niche markets. Cereal bars stand out as fast food high in nutritional value. A bar formula mimicking cereal bars was prepared using a mixture of Brazilian cassava flour, hydrogenated vegetable fat, dried bananas, ground cashew nuts, and glucose syrup. After being pressed, the bars were dried for 1 hour at 65 °C, packaged in films, and stored under ambient conditions. Its stability was continuously monitored for 210 days in order to ensure its safety and enable its introduction to the market. Texture loss was observed in the packed bars after 90 days of storage, but the sensory characteristics allowed the testers to perceive this tendency after only 30 days of storage. However, chemical, physical, and microbial analyses confirmed that the bars were safe for consumption for 180 days. The results showed that a 45 g cassava flour-based bar enriched with nuts and dried fruits can meet 6% of the recommended daily fiber intake with a caloric value between that of the common cereal bar and that of an energy bar. Adapting the formula with ingredients (fruits, nuts) from different regions of Brazil may add value to this traditional product as a fast food.

Detection of genetically modified organisms in soy products sold in Turkish market

PCR-based technique for GMO detection is the most reliable choice because of its high sensitivity and specificity. As a candidate of the European Union, Turkey must comply with the rules for launching into the market, traceability, and labeling of GMOs as established by EU legislation. Therefore, the objective of this study is to assess soybean products in the Turkish market to verify compliance with legislation using qualitative Polymerase Chain Reaction (PCR) assay to detect the presence of GM soybean and to quantify its amount of GM soybean in the samples tested positive using real-time PCR. DNA extracted by the modified CTAB method was properly used for PCR amplification of food materials. The amplification of a 118 bp DNA fragment of the lectin gene from soybean by PCR was successfully achieved in all samples. The GMO screening was based on the detection of 35S promoter and NOS terminator sequences. The GM positive samples were subjected to detection of Roundup ReadyTM soybean (RR) using quantitative real-time PCR. It was found that 100% of the tested food samples contained less than 0.1 per cent of EPSPS gene.

SME internationalisation from an emerging market to a developed market : a case study from Ghana

This study focuses on understanding the internationalisation of small and medium-sized enterprises (SMEs) from an emerging market to a developed market. In particular, it examines the internationalisation process of a firm in the clothing and textile manufacturing industry in Ghana. Theoretically, the study is limited to the network internationalisation approach (e.g. Johanson & Mattsson, 1988; Johanson & Vahlne, 2009) and the industrial network approach (Håkansson & Snehota, 1995). Methodologically, a qualitative abductive case study approach is employed. The research process relies on a longitudinal method involving primary and secondary data and critical event analysis. Primary data has been collected from relevant informants at two different times in the internationalisation process. The research findings highlight the significance of both domestic and foreign business relationships in the internationalisation of an SME from an emerging African market to a developed country market. They show the greater importance of exogenous critical events than has been found in the research regarding firms in developed countries. Institutional actors were essential in the network and as sources of exogenous critical events. In addition, the successful SME should possess unique resources in the form of an entrepreneurial spirit, sufficient knowledge of internationalisation, and specific product knowledge. Theoretically, the present study contributes to business network research through providing an understanding of the process of developing network relationships and their impact in an African context. By focusing on SMEs, a contribution has been made in relation to the advancement of SME research. This research reveals empirical insight into SME internationalisation in a setting where an SME is internationalising to a developed country market from a newly emerging African market. Methodologically, the study provides an example of longitudinal research based on abductive methodology. The results provide implications for firms, managers, and policy-makers within the industry, especially on how to manage and use network relationships to promote SME internationalisation from newly emerging markets.

Computational Market Dynamics of Virtual Economies

The last two decades have provided a vast opportunity to live and explore the compulsive imaginary world or virtual world through massively multiplayer online role-playing games (MMORPGs). MMORPG gives a wide range of opportunities to its users to participate with multi-players on the same platform, to communicate and to do real time actions. There is a virtual economy in these games which is largely player-driven. In-game currency provides its users to build up their Avatars, to buy or sell the necessary goods to play, survive in the games and so on. As a part of virtual economies generated through EVE Online, this thesis mainly focuses on how the prices of the minerals in EVE Online behave by applying the Jabłonska- Capasso-Morale (JCM) mathematical simulation model. It is to verify up to what degree the model can reproduce the virtual economy behavior. The model is applied to buy and sell prices of two minerals namely, isogen and morphite. The simulation results demonstrate that JCM model ts reasonably well to the mineral prices, which lets us conclude that virtual economies behave similarly to the real ones.

The Dynamic Relationship between Finnish Stock Market and Commodities

Since different stock markets have become more integrated during 2000s, investors need new asset classes in order to gain diversification benefits. Commodities have become popular to invest in and thus it is important to examine whether the investors should use commodities as a part for portfolio diversification. This master’s thesis examines the dynamic relationship between Finnish stock market and commodities. The methodology is based on Vector Autoregressive models (VAR). The long-run relationship between Finnish stock market and commodities is examined with Johansen cointegration while short-run relationship is examined with VAR models and Granger causality test. In addition, impulse response test and forecast error variance decomposition are employed to strengthen the results of short-run relationship. The dynamic relationships might change under different market conditions. Thus, the sample period is divided into two sub-samples in order to reveal whether the dynamic relationship varies under different market conditions. The results show that Finnish stock market has stable long-run relationship with industrial metals, indicating that there would not be diversification benefits among the industrial metals. The long-run relationship between Finnish stock market and energy commodities is not as stable as the long-run relationship between Finnish stock market and industrial metals. Long-run relationship was found in the full sample period and first sub-sample which indicate less room for diversification. However, the long-run relationship disappeared in the second sub-sample which indicates diversification benefits. Long-run relationship between Finnish stock market and agricultural commodities was not found in the full sample period which indicates diversification benefits between the variables. However, long-run relationship was found from both sub-samples. The best diversification benefits would be achieved if investor invested in precious metals. No long-run relationship was found from either sample. In the full sample period OMX Helsinki had short-run relationship with most of the energy commodities and industrial metals and the causality was mostly running from equities to commodities. During the first sub period the number of short-run relationships and causality shrunk but during the crisis period the number of short-run relationships and causality increased. The most notable result found was unidirectional causality from gold to OMX Helsinki during the crisis period.

From semi-stagnation to growth in a sino-centric market

According to recent available information, the Brazilian economy may be entering a cycle of sustained growth. The dominant current interpretation points to the progresses made in terms of monetary stability, Balance of Payments and structural reforms. Indeed, without monetary stability and the commercial opening of the economy, investments would not be increasing and credit growth would not be helping the emergence of millions of new consumers. But these achievements should be taken as generally conditioning, rather than actually shaping the new picture. Some unexpected (not rarely positive) consequences of overcoming the long enduring semi-stagnation, the emergence of China as a major player, and its consequences on the necessary re-structuring of the Brazilian industry, seem to be decisive in the present day redefinition of the Brazilian GDP growth potential.

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 of value and momentum strategies in the Swedish stock market

This thesis investigates the performance of value and momentum strategies in the Swedish stock market during the 2000-2015 sample period. In addition the performance of some value and value-momentum combination is examined. The data consists of all the publicly traded companies in the Swedish stock market between 2000-2015. P/E, P/B, P/S, EV/EBITDA, EV/S ratios and 3, 6 and 12 months value criteria are used in the portfolio formation. In addition to single selection criteria, combination of P/E and P/B (aka. Graham number), the average ranking of the five value criteria and EV/EBIT – 3 month momentum combination is used as a portfolio-formation criterion. The stocks are divided into quintile portfolios based on each selection criterion. The portfolios are reformed once a year using the April’s price information and previous year’s financial information. The performance of the portfolios is examined based on average annual return, the Sharpe ratio and the Jensen alpha. The results show that the value-momentum combination is the best-performing portfolio both during the whole sample period and during the sub-period that started after the 2007-financial crisis.