Yrityspelin Kehittäminen Ongelmalähtöisen Oppimisen Välineeksi

Työn tavoitteena on luoda poikkileikkaus ongelmalähtöiseen pedagogiikkaan ja erityisesti sen käyttömahdollisuuksiin Yrityspeli-kurssin opettamisessa oppimislähtöisen opetustavan tukena. Toisena tavoitteena on kurssin pelisovelluksen dokumentointi käyttökelpoiseksi viiteteokseksi. Lopuksi työssä tutkitaan sovelluksen keskeisten parametrien ja pelistrategioiden vaikutusta kysyntään. Ongelmalähtöistä oppimista on tutkittu lähinnä kirjallisuuteen perustuen ja täydennetty tietämystä haastattelututkimuksella. Sovelluksen rakenne on havainnoitu käyttämällä sovellusta. Sovelluksen kriittisiä ominaisuuksia on saatu selville ajamalla sovellusta tarkoitusta varten valikoidulla numeerisella aineistolla. Ongelmalähtöinen pedagogiikka osoittautui soveltuvin osin hyväksi opetusmenetelmäksi Yrityspeli-kurssilla mallintamisen ja käytännön ongelmanratkaisutaitojen kehittämisessä. Kurssin pelisovellus näyttäisi toimivan luotettavasti, tosin se ei ole rakenteeltaan erityisen joustava. Sovelluksen keskeisistä parametreista hinnan vaikutus kysyntään on huomattavasti markkinointipanosta suurempi. Testien mukaan pelissä on mahdollista pärjätä niin kustannusjohtajan kuin hintadifferoijankin strategialla.

Lentopetrolin hinnanmuutoksilta suojautuminen johdannaisilla Case Jetflite Oy

Tutkielman tavoitteena on selvittää, miten lentoyhtiöt, kuten case-yritys Jetflite Oy, voivat hyödyntää johdannaisinstrumentteja suojautuessaan polttoainekustannusten nousulta. Tutkielmassa kootaan tietoa eri lentoyhtiöiden riskienhallintastrategioista ja niiden implementoinnissa käytetyistä johdannaissopimustyypeistä. Tutkielmassa pyritään tuottamaan tietoa case-yrityksen johdolle riskienhallintastrategian luomista varten kartoittamalla toteutuneita polttoainekustannuksia Jetfliten ostolaskuista. Lentoyhtiöt voivat määritellä suojausstrategian, jonka mukaisesti määrättynä ajanjaksona haluttu osuus tulevista polttoainehankinnoista suojataan johdannaissopimuksin muun muassa futuureita, optioita ja swappeja käyttäen. Johdannaisia käytetään sekä lähitulevaisuuden polttoainehankintojen suojauksissa että pitkän aikavälin riskienhallintastrategioita toteutettaessa. Koska polttoainekustannukset ovat lentoyhtiöiden toiminnan kannattavuuden kannalta keskeinen kuluerä, on em. kustannusten nousulta suojautuminen lentoyhtiöille myös strateginen menestystekijä.

Public-Private Partnerships: Managing organizational change for acquiring value creative capabilities

The objective of the dissertation is to examine organizational responses of public actors to customer requirements which drive the transformation of value networks and promote public-private partnership in the electricity distribution industry and elderly care sectors. The research bridges the concept of offering to value networks where capabilities can be acquired for novel product concepts. The research contributes to recent literature, re-examining theories on interactions of customer requirements and supply management. A critical realist case study approach is applied to this abductive the research which directs to describe causalities in the analyzed phenomena. The presented evidence is based on three sources, which are in-depth interviews, archival analysis and the Delphi method. Service provision requires awareness on technology and functionalities of offering. Moreover, service provision includes interactions of multiple partners, which suggests the importance of the co-operative orientation of actors. According to the findings,portfolio management has a key role when intelligent solutions are implemented in public service provision because its concepts involve a variety of resources from multiple suppliers. However, emergent networks are not functional if they lack leaders who have access to the customer interface, have power to steer networks and a capability to build offerings. Public procurement policies were recognized to focus on a narrow scope in which price is a key factor in decisions. In the future, the public sector has to implement technology strategies and portfolio management, which mean longterm platform development and commitment to partnerships. On the other hand, the service providers should also be more aware of offerings into which their products will be integrated in the future. This requires making the customer’s voice in product development and co-operation in order to increase the interconnectivity of products.

Regional innovation strategies and sustainability in selected EU countries

This study focuses on regional innovation strategy (RIS) and sustainability aspects in selected regions of European Union (EU) countries. It is known that RIS helps a region to innovate locally and to compete globally and it is considered as one of the main policy tools of the EU for innovation support at a regional level. This study is conducted to explore the existence and adoption of RIS in different regions of selected EU countries, and to highlight and compare regional RIS characteristics. The study is also aimed at identifying the factors that characterise the formulation and implementation of RIS as well as the problems associated thereof. In this study, six regions of EU countries are considered: Päijät-Häme Region (Finland); London Region (United Kingdom); Mid-West Region (Ireland); Veneto Region (Italy); Eastern Region (Poland); and West Region (Romania). Data and information are collected by sending questionnaires to the respective regional authorities of these selected regions. Based on the gathered information and analysis, RIS or equivalent strategy document serves as a blueprint for forwarding innovative programmes towards regional sustainability. The objectives of RIS in these regions are found to be dependent on the priority sectors and state of the region’s development. The current environmental sustainability aspects are focused on eco-design, eco-products, and eco-innovation, although each region also has its own specific aspects supported by RIS. Likewise, regional policies typically follow the RIS yet translated in various sectoral focus or priority areas. The main enhancing factors supporting RIS among selected regions have some similarities and variations; among others, some regions are strongly supported by EU while others have support from own regional agencies, organisations and professional networks. RIS implementation is not without challenges and despite the differences in challenges, almost all of reviewed regions consider financial resource as a common problem. Generally, it is learned from this study that RIS and regional sustainability are reinforcing each other mutually. In this study, the strong focus is given towards environmental sustainability in the regions although regional sustainability also includes economic and social aspects. A well-focused and prioritised RIS is beneficial for regional sustainable development.

Preferred Offer as a Method in Competitive Bidding

The objective of this master’s thesis was to find means and measures by which an industrial manufacturing company could find cost-competitive solutions in a price-driven market situation. Initially, it was essential to find individual high customer value spots from the offering. The study addressed this in an innovative way by providing the desired information for the entire range of offering. The research was carried out using the constructivist approach method. Firstly, the project and solution marketing literature was reviewed in order to establish an overview of the processes and strategies involved. This information was then used in conjunction with the company’s specific offering data to conduct a construction. This construction can be used in various functions within the target company to streamline and optimize the specifications into so-called “preferred offers”. The study also presents channels and methods with which to exploit the construction in practice in the target company. The study aimed to bring concrete improvements in competitiveness and profitability. One result of this study was the creation of a training material for internal use. This material is now used in several countries to inform and present to the staff the cost-competitive aspects of the target company’s offering.

Development of simple and efficient synthetic strategies for production of fine chemicals of pharmaceutical relevance : metal-mediated allylation combined with applied catalysis

Den snart 200 år gamla vetenskapsgrenen organisk synteskemi har starkt bidragit till moderna samhällens välfärd. Ett av flaggskeppen för den organiska synteskemin är utvecklingen och produktionen av nya läkemedel och speciellt de aktiva substanserna däri. Därmed är det viktigt att utveckla nya syntesmetoder, som kan tillämpas vid framställningen av farmaceutiskt relevanta målstrukturer. I detta sammanhang är den ultimata målsättningen dock inte endast en lyckad syntes av målmolekylen, utan det är allt viktigare att utveckla syntesrutter som uppfyller kriterierna för den hållbara utvecklingen. Ett av de centralaste verktygen som en organisk kemist har till förfogande i detta sammanhang är katalys, eller mera specifikt möjligheten att tillämpa olika katalytiska reaktioner vid framställning av komplexa målstrukturer. De motsvarande industriella processerna karakteriseras av hög effektivitet och minimerad avfallsproduktion, vilket naturligtvis gynnar den kemiska industrin samtidigt som de negativa miljöeffekterna minskas avsevärt. I denna doktorsavhandling har nya syntesrutter för produktion av finkemikalier med farmaceutisk relevans utvecklats genom att kombinera förhållandevis enkla transformationer till nya reaktionssekvenser. Alla reaktionssekvenser som diskuteras i denna avhandling påbörjades med en metallförmedlad allylering av utvalda aldehyder eller aldiminer. De erhållna produkterna innehållende en kol-koldubbelbindning med en närliggande hydroxyl- eller aminogrupp modifierades sedan vidare genom att tillämpa välkända katalytiska reaktioner. Alla syntetiserade molekyler som presenteras i denna avhandling karakteriseras som finkemikalier med hög potential vid farmaceutiska tillämpningar. Utöver detta tillämpades en mängd olika katalytiska reaktioner framgångsrikt vid syntes av dessa molekyler, vilket i sin tur förstärker betydelsen för de katalytiska verktygen i organiska kemins verktygslåda.

Pricing anomalies in the Finnish stock market

The aim of this thesis is to examine whether the pricing anomalies exists in the Finnish stock markets by comparing the performance of quantile portfolios that are formed on the basis of either individual valuation ratios, composite value measures or combined value and momentum indicators. All the research papers included in the thesis show evidence of value anomalies in the Finnish stock markets. In the first paper, the sample of stocks over the 1991-2006 period is divided into quintile portfolios based on four individual valuation ratios (i.e., E/P, EBITDA/EV, B/P, and S/P) and three hybrids of them (i.e. composite value measures). The results show the superiority of composite value measures as selection criterion for value stocks, particularly when EBITDA/EV is employed as earnings multiple. The main focus of the second paper is on the impact of the holding period length on performance of value strategies. As an extension to the first paper, two more individual ratios (i.e. CF/P and D/P) are included in the comparative analysis. The sample of stocks over 1993- 2008 period is divided into tercile portfolios based on six individual valuation ratios and three hybrids of them. The use of either dividend yield criterion or one of three composite value measures being examined results in best value portfolio performance according to all performance metrics used. Parallel to the findings of many international studies, our results from performance comparisons indicate that for the sample data employed, the yearly reformation of portfolios is not necessarily optimal in order to maximally gain from the value premium. Instead, the value investor may extend his holding period up to 5 years without any decrease in long-term portfolio performance. The same holds also for the results of the third paper that examines the applicability of data envelopment analysis (DEA) method in discriminating the undervalued stocks from overvalued ones. The fourth paper examines the added value of combining price momentum with various value strategies. Taking account of the price momentum improves the performance of value portfolios in most cases. The performance improvement is greatest for value portfolios that are formed on the basis of the 3-composite value measure which consists of D/P, B/P and EBITDA/EV ratios. The risk-adjusted performance can be enhanced further by following 130/30 long-short strategy in which the long position of value winner stocks is leveraged by 30 percentages while simultaneously selling short glamour loser stocks by the same amount. Average return of the long-short position proved to be more than double stock market average coupled with the volatility decrease. The fifth paper offers a new approach to combine value and momentum indicators into a single portfolio-formation criterion using different variants of DEA models. The results throughout the 1994-2010 sample period shows that the top-tercile portfolios outperform both the market portfolio and the corresponding bottom-tercile portfolios. In addition, the middle-tercile portfolios also outperform the comparable bottom-tercile portfolios when DEA models are used as a basis for stock classification criteria. To my knowledge, such strong performance differences have not been reported in earlier peer-reviewed studies that have employed the comparable quantile approach of dividing stocks into portfolios. Consistently with the previous literature, the division of the full sample period into bullish and bearish periods reveals that the top-quantile DEA portfolios lose far less of their value during the bearish conditions than do the corresponding bottom portfolios. The sixth paper extends the sample period employed in the fourth paper by one year (i.e. 1993- 2009) covering also the first years of the recent financial crisis. It contributes to the fourth paper by examining the impact of the stock market conditions on the main results. Consistently with the fifth paper, value portfolios lose much less of their value during bearish conditions than do stocks on average. The inclusion of a momentum criterion somewhat adds value to an investor during bullish conditions, but this added value turns to negative during bearish conditions. During bear market periods some of the value loser portfolios perform even better than their value winner counterparts. Furthermore, the results show that the recent financial crisis has reduced the added value of using combinations of momentum and value indicators as portfolio formation criteria. However, since the stock markets have historically been bullish more often than bearish, the combination of the value and momentum criteria has paid off to the investor despite the fact that its added value during bearish periods is negative, on an average.

Performance characteristic of moving average trading rules in the Finnish stock market

The thesis examines the profitability of DMAC trading rules in the Finnish stock market over the 1996-2012 period. It contributes to the existing technical analysis literature by comparing for the first time the performance of DMAC strategies based on individual stock trading portfolios to the performance of index trading strategies based on the trading on the index (OMX Helsinki 25) that consists of the same stocks. Besides, the market frictions including transaction costs and taxes are taken into account, and the results are reported from both institutional and individual investor’s perspective. Performance characteristic of DMAC rules are evaluated by simulating 19,900 different trading strategies in total for two non- overlapping 8-year sub-periods, and decomposing the full-sample-period performance of DMAC trading strategies into distinct bullish- and bearish-period performances. The results show that the best DMAC rules have predictive power on future price trends, and these rules are able to outperform buy-and-hold strategy. Although the performance of the DMAC strategies is highly dependent on the combination of moving average lengths, the best DMAC rules of the first sub-period have also performed well during the latter sub-period in the case of individual stock trading strategies. According to the results, the outperformance of DMAC trading rules over buy-and-hold strategy is mostly attributed to their superiority during the bearish periods, and particularly, during stock market crashes.

The Use of Systematic Value Strategies in Separating the Winners from the Losers: Evidence from the Finnish Markets

This study examines the Magic Formula and ERP5 value strategies in the Finnish stocks markets. Magic Formula ranks stocks based on EV/EBIT and ROA and ERP5 based on EV/EBIT, ROA, P/B and five-year trailing ROA. The purpose of the study is to examine whether the value strategies can be used to generate excess returns over the market index. The data has been collected from the Datastream database for the sample period from May 1997 to May 2010 and consists of the companies listed on the main list of Helsinki Stock Exchange. This study confirms the findings of previous research that value premium exists in the Finnish stock markets and that systematic value strategies can be used to form portfolios that outperform the market index with lower volatility.

Startup IPR strategies: Why should startup companies protect their intellectual property?

This thesis studies intellectual property right (also: IPR) strategies from the perspective of high growth startup companies. Due to technology development and intellectualization of business, large part of companies’ assets are nowadays intangible. At the same time, the importance of protection instruments designed to protect these intangible assets, intellectual property rights, is increasing. Utilization of these instruments, however, requires understanding of the functioning of the IPR system, as well as financial resources. Startup companies aiming for growth need to be able compete with more established companies also in relation to intangible assets, but they might not have the required knowledge ot resources to fully utilize IPRs in their business. This research aims to understand what are the benefits a startup company can have from protecting their IPRs, and how can the company achieve those benefits. Based on a review of previous literature, altogether 11 benefits of IPR registration were recognized. To answer to the research questions, six half-structured interviews were conducted with experts form different fields, all with experience in working with startup companies and IPR issues. The interviews were analyzed using different methods of qualitative data analysis, mainly derived from grounded theory and case study methods. As a result, out of the 11 benefits recognized from earlier literature, 8 were recognized to be relevant for startup companies. The most central benefits were recognized to be linked with the financial lifecycle of the startup company, including increasing credibility of the startup and stimulating an investment. In addition it was noticed, that startup companies are mainly able to utilize these benefits at later stages of their lifecycle. However, to be able to utilize the benefits at later stages, the startup company needs to be aware of the functioning of the IPR system and might need to apply for appropriate protection already early on. As a result of this study, a three-step model was formed to describe different levels of IPR utilization. The first level of the model represents the minimum level of understanding that every startup company should have regarding IPRs. The second level views IPR strategy from a risk management perspective, including securing the minimum protection of the company’s own IPRs, contract management and establishing processes for handling IPR issues. The last stage reflects strategic use of IPRs. At this third stage intellectual property rights have a central role in the startup company’s business, and they are used in the company’s value creation.

Price spike forecasting in a competitive day-ahead energy market

Electricity price forecasting has become an important area of research in the aftermath of the worldwide deregulation of the power industry that launched competitive electricity markets now embracing all market participants including generation and retail companies, transmission network providers, and market managers. Based on the needs of the market, a variety of approaches forecasting day-ahead electricity prices have been proposed over the last decades. However, most of the existing approaches are reasonably effective for normal range prices but disregard price spike events, which are caused by a number of complex factors and occur during periods of market stress. In the early research, price spikes were truncated before application of the forecasting model to reduce the influence of such observations on the estimation of the model parameters; otherwise, a very large forecast error would be generated on price spike occasions. Electricity price spikes, however, are significant for energy market participants to stay competitive in a market. Accurate price spike forecasting is important for generation companies to strategically bid into the market and to optimally manage their assets; for retailer companies, since they cannot pass the spikes onto final customers, and finally, for market managers to provide better management and planning for the energy market. This doctoral thesis aims at deriving a methodology able to accurately predict not only the day-ahead electricity prices within the normal range but also the price spikes. The Finnish day-ahead energy market of Nord Pool Spot is selected as the case market, and its structure is studied in detail. It is almost universally agreed in the forecasting literature that no single method is best in every situation. Since the real-world problems are often complex in nature, no single model is able to capture different patterns equally well. Therefore, a hybrid methodology that enhances the modeling capabilities appears to be a possibly productive strategy for practical use when electricity prices are predicted. The price forecasting methodology is proposed through a hybrid model applied to the price forecasting in the Finnish day-ahead energy market. The iterative search procedure employed within the methodology is developed to tune the model parameters and select the optimal input set of the explanatory variables. The numerical studies show that the proposed methodology has more accurate behavior than all other examined methods most recently applied to case studies of energy markets in different countries. The obtained results can be considered as providing extensive and useful information for participants of the day-ahead energy market, who have limited and uncertain information for price prediction to set up an optimal short-term operation portfolio. Although the focus of this work is primarily on the Finnish price area of Nord Pool Spot, given the result of this work, it is very likely that the same methodology will give good results when forecasting the prices on energy markets of other countries.