Forecasting the maximum compensation offer in the automobile BI claims negotiation process

Most motor bodily injury (BI) claims are settled by negotiation, with fewer than 5% of cases going to court. A well-defined negotiation strategy is thus very useful for insurance companies. In this paper we assume that the monetary compensation awarded in court is the upper amount to be offered by the insurer in the negotiation process. Using a real database, a log-linear model is implemented to estimate the maximal offer. Non-spherical disturbances are detected. Correlation occurs when various claims are settled in the same judicial verdict. Group wise heteroscedasticity is due to the influence of the forensic valuation on the final compensation amount. An alternative approximation based on generalized inference theory is applied to estimate confidence intervals on variance components, since classical interval estimates may be unreliable for datasets with unbalanced structures.

The causal factors of international inequality in CO2 emissions per capita: a regression-based inequality decomposition analysis

This paper uses the possibilities provided by the regression-based inequality decomposition (Fields, 2003) to explore the contribution of different explanatory factors to international inequality in CO2 emissions per capita. In contrast to previous emissions inequality decompositions, which were based on identity relationships (Duro and Padilla, 2006), this methodology does not impose any a priori specific relationship. Thus, it allows an assessment of the contribution to inequality of different relevant variables. In short, the paper appraises the relative contributions of affluence, sectoral composition, demographic factors and climate. The analysis is applied to selected years of the period 1993–2007. The results show the important (though decreasing) share of the contribution of demographic factors, as well as a significant contribution of affluence and sectoral composition.

Maritime Safety in the Gulf of Finland. Review on Policy Instruments

Suomenlahden lisääntynyt meriliikenne on herättänyt huolta meriliikenteen turvallisuuden tasosta, ja erityisesti Venäjän öljyviennin kasvu on lisännyt öljyonnettomuuden todennäköisyyttä Suomenlahdella. Erilaiset kansainväliset, alueelliset ja kansalliset ohjauskeinot pyrkivät vähentämään merionnettomuuden riskiä ja meriliikenteen muita haittavaikutuksia. Tämä raportti käsittelee meriturvallisuuden yhteiskunnallisia ohjauskeinoja: ohjauskeinoja yleisellä tasolla, meriturvallisuuden keskeisimpiä säätelijöitä, meriturvallisuuden ohjauskeinoja ja meriturvallisuuspolitiikan tulevaisuuden näkymiä, ohjauskeinojen tehokkuutta ja nykyisen meriturvallisuuden ohjausjärjestelmän heikkouksia. Raportti on kirjallisuuskatsaus meriturvallisuuden yhteiskunnalliseen sääntelyn rakenteeseen ja tilaan erityisesti Suomenlahden meriliikenteen näkökulmasta. Raportti on osa tutkimusprojektia ”SAFGOF - Suomenlahden meriliikenteen kasvunäkymät 2007 - 2015 ja kasvun vaikutukset ympäristölle ja kuljetusketjujen toimintaan” ja sen työpakettia 6 ”Keskeisimmät riskit ja yhteiskunnalliset vaikutuskeinot”. Yhteiskunnalliset ohjauskeinot voidaan ryhmitellä hallinnollisiin, taloudellisiin ja tietoohjaukseen perustuviin ohjauskeinoihin. Meriturvallisuuden edistämisessä käytetään kaikkia näitä, mutta hallinnolliset ohjauskeinot ovat tärkeimmässä asemassa. Merenkulun kansainvälisen luonteen vuoksi meriturvallisuuden sääntely tapahtuu pääosin kansainvälisellä tasolla YK:n ja erityisesti Kansainvälisen merenkulkujärjestön (IMO) toimesta. Lisäksi myös Euroopan Unionilla on omaa meriturvallisuuteen liittyvää sääntelyä ja on myös olemassa muita alueellisia meriturvallisuuden edistämiseen liittyviä elimiä kuten HELCOM. Joitakin meriturvallisuuden osa-alueita säädellään myös kansallisella tasolla. Hallinnolliset meriturvallisuuden ohjauskeinot sisältävät aluksen rakenteisiin ja varustukseen, alusten kunnon valvontaan, merimiehiin ja merityön tekemiseen sekä navigointiin liittyviä ohjauskeinoja. Taloudellisiin ohjauskeinoihin kuuluvat esimerkiksi väylä- ja satamamaksut, merivakuutukset, P&I klubit, vastuullisuus- ja korvauskysymykset sekä taloudelliset kannustimet. Taloudellisten ohjauskeinojen käyttö meriturvallisuuden edistämiseen on melko vähäistä verrattuna hallinnollisten ohjauskeinojen käyttöön, mutta niitä voitaisiin varmasti käyttää enemmänkin. Ongelmana taloudellisten ohjauskeinojen käytössä on se, että ne kuuluvat pitkälti kansallisen sääntelyn piiriin, joten alueellisten tai kansainvälisten intressien edistäminen taloudellisilla ohjauskeinoilla voi olla hankalaa. Tieto-ohjaus perustuu toimijoiden vapaaehtoisuuteen ja yleisen tiedotuksen lisäksi tieto-ohjaukseen sisältyy esimerkiksi vapaaehtoinen koulutus, sertifiointi tai meriturvallisuuden edistämiseen tähtäävät palkinnot. Poliittisella tasolla meriliikenteen aiheuttamat turvallisuusriskit Suomenlahdella on otettu vakavasti ja paljon työtä tehdään eri tahoilla riskien minimoimiseksi. Uutta sääntelyä on odotettavissa etenkin liittyen meriliikenteen ympäristövaikutuksiin ja meriliikenteen ohjaukseen kuten meriliikenteen sähköisiin seurantajärjestelmiin. Myös inhimilliseen tekijän merkitykseen meriturvallisuuden kehittämisessä on kiinnitetty lisääntyvissä määrin huomiota, mutta inhimilliseen tekijän osalta tehokkaiden ohjauskeinojen kehittäminen näyttää olevan haasteellista. Yleisimmin lääkkeeksi esitetään koulutuksen kehittämistä. Kirjallisuudessa esitettyjen kriteereiden mukaan tehokkaiden ohjauskeinojen tulisi täyttää seuraavat vaatimukset: 1) tarkoituksenmukaisuus – ohjauskeinojen täytyy olla sopivia asetetun tavoitteen saavuttamiseen, 2) taloudellinen tehokkuus – ohjauskeinon hyödyt vs. kustannukset tulisi olla tasapainossa, 3) hyväksyttävyys – ohjauskeinon täytyy olla hyväksyttävä asianosaisten ja myös laajemman yhteiskunnan näkökulmasta katsottuna, 4) toimeenpano – ohjauskeinon toimeenpanon pitää olla mahdollista ja sen noudattamista täytyy pystyä valvomaan, 5) lateraaliset vaikutukset – hyvällä ohjauskeinolla on positiivisia seurannaisvaikutuksia muutoinkin kuin vain ohjauskeinon ensisijaisten tavoitteiden saavuttaminen, 6) kannustin ja uuden luominen – hyvä ohjauskeino kannustaa kokeilemaan uusia ratkaisuja ja kehittämään toimintaa. Meriturvallisuutta koskevaa sääntelyä on paljon ja yleisesti ottaen merionnettomuuksien lukumäärä on ollut laskeva viime vuosikymmenien aikana. Suuri osa sääntelystä on ollut tehokasta ja parantanut turvallisuuden tasoa maailman merillä. Silti merionnettomuuksia ja muita vaarallisia tapahtumia sattuu edelleen. Nykyistä sääntelyjärjestelmää voidaan kritisoida monen asian suhteen. Kansainvälisen sääntelyn aikaansaaminen ei ole helppoa: prosessi on yleensä hidas ja tuloksena voi olla kompromissien kompromissi. Kansainvälinen sääntely on yleensä reaktiivista eli ongelmakohtiin puututaan vasta kun jokin onnettomuus tapahtuu sen sijaan että se olisi proaktiivista ja pyrkisi puuttumaan ongelmakohtiin jo ennen kuin jotain tapahtuu. IMO:n työskentely perustuu kansallisvaltioiden osallistumiseen ja sääntelyn toimeenpano tapahtuu lippuvaltioiden toimesta. Kansallisvaltiot ajavat IMO:ssa pääasiallisesti omia intressejään ja sääntelyn toimeenpanossa on suuria eroja lippuvaltioiden välillä. IMO:n kyvyttömyys puuttua havaittuihin ongelmiin nopeasti ja ottaa sääntelyssä huomioon paikallisia olosuhteita on johtanut siihen, että esimerkiksi Euroopan Unioni on alkanut itse säädellä meriturvallisuutta ja että on olemassa sellaisia alueellisia erityisjärjestelyjä kuin PSSA (particularly sensitive sea area – erityisen herkkä merialue). Merenkulkualalla toimii monenlaisia yrityksiä: toisaalta yrityksiä, jotka pyrkivät toimimaan turvallisesti ja kehittämään turvallisuutta vielä korkeammalle tasolle, ja toisaalta yrityksiä, jotka toimivat niin halvalla kuin mahdollista, eivät välitä turvallisuusseikoista, ja joilla usein on monimutkaiset ja epämääräiset omistusolosuhteet ja joita vahingon sattuessa on vaikea saada vastuuseen. Ongelma on, että kansainvälisellä merenkulkualalla kaikkien yritysten on toimittava samoilla markkinoilla. Vastuuttomien yritysten toiminnan mahdollistavat laivaajat ja muut alan toimijat, jotka suostuvat tekemään yhteistyötä niiden kanssa. Välinpitämätön suhtautuminen turvallisuuteen johtuu osaksi myös merenkulun vanhoillisesta turvallisuuskulttuurista. Verrattaessa meriturvallisuuden sääntelyjärjestelmää kokonaisuutena tehokkaiden ohjauskeinoihin kriteereihin, voidaan todeta, että monien kriteerien osalta nykyistä järjestelmää voidaan pitää tehokkaana ja onnistuneena. Suurimmat ongelmat lienevät sääntelyn toimeenpanossa ja ohjauskeinojen kustannustehokkuudessa. Lippuvaltioiden toimeenpanoon perustuva järjestelmä ei toimi toivotulla tavalla, josta mukavuuslippujen olemassa olo on selvin merkki. Ohjauskeinojen, sekä yksittäisten ohjauskeinojen että vertailtaessa eri ohjauskeinoja keskenään, kustannustehokkuutta on usein vaikea arvioida, minkä seurauksena ohjauskeinojen kustannustehokkuudesta ei ole saatavissa luotettavaa tietoa ja tuloksena voi olla, että ohjauskeino on käytännössä pienen riskin eliminoimista korkealla kustannuksella. Kansainvälisen tason meriturvallisuus- (ja merenkulku-) politiikan menettelytavoiksi on ehdotettu myös muita vaihtoehtoja kuin nykyinen järjestelmä, esimerkiksi monitasoista tai polysentristä hallintojärjestelmää. Monitasoisella hallintojärjestelmällä tarkoitetaan järjestelmää, jossa keskushallinto on hajautettu sekä vertikaalisesti alueellisille tasoille että horisontaalisesti ei-valtiollisille toimijoille. Polysentrinen hallintojärjestelmä menee vielä askeleen pidemmälle. Polysentrinen hallintojärjestelmä on hallintotapa, jonka puitteissa kaikentyyppiset toimijat, sekä yksityiset että julkiset, voivat osallistua hallintoon, siis esimerkiksi hallitukset, edunvalvontajärjestöt, kaupalliset yritykset jne. Kansainvälinen lainsäädäntö määrittelee yleiset tasot, mutta konkreettiset toimenpiteet voidaan päättää paikallisella tasolla eri toimijoiden välisessä yhteistyössä. Tämän tyyppisissä hallintojärjestelmissä merenkulkualan todellinen, kansainvälinen mutta toisaalta paikallinen, toimintaympäristö tulisi otetuksi paremmin huomioon kuin järjestelmässä, joka perustuu kansallisvaltioiden keskenään yhteistyössä tekemään sääntelyyn. Tällainen muutos meriturvallisuuden hallinnassa vaatisi kuitenkin suurta periaatteellista suunnanmuutosta, jollaisen toteutumista ei voi pitää kovin todennäköisenä ainakaan lyhyellä tähtäimellä.

Analyzing the Background Information of an Activity-Based Costing System

The aim of this thesis was to analyze the background information of an activity-based costing system, which is being used in a domestic forest industry company. The reports produced by the system have not been reliable, and this has caused the utilization of the system to diminish. The study was initiated by examining the theory of activity-based costing. It was also discovered, that the system produces management accounting information and therefore also that theory was introduced briefly. Next the possible sources of errors were examined. The significance of these errors was evaluated and waste handling was chosen as a subject of further study. The problem regarding waste handling was that there is no waste compensation in current model. When paper or board machine produces waste, it can be used as raw material in the process. However, at the moment the product, which is being produced, at the time does not get any compensation. The use of compensation has not been possible due to not knowing the quantity of process waste. As a result of the study a calculatory model, which enables calculating the quantity of process waste based on the data from the mill system, was introduced. This, for one, enables starting to use waste compensation in the future.

Study of ligand-based virtual screening tools in computer-aided drug design

Virtual screening is a central technique in drug discovery today. Millions of molecules can be tested in silico with the aim to only select the most promising and test them experimentally. The topic of this thesis is ligand-based virtual screening tools which take existing active molecules as starting point for finding new drug candidates. One goal of this thesis was to build a model that gives the probability that two molecules are biologically similar as function of one or more chemical similarity scores. Another important goal was to evaluate how well different ligand-based virtual screening tools are able to distinguish active molecules from inactives. One more criterion set for the virtual screening tools was their applicability in scaffold-hopping, i.e. finding new active chemotypes. In the first part of the work, a link was defined between the abstract chemical similarity score given by a screening tool and the probability that the two molecules are biologically similar. These results help to decide objectively which virtual screening hits to test experimentally. The work also resulted in a new type of data fusion method when using two or more tools. In the second part, five ligand-based virtual screening tools were evaluated and their performance was found to be generally poor. Three reasons for this were proposed: false negatives in the benchmark sets, active molecules that do not share the binding mode, and activity cliffs. In the third part of the study, a novel visualization and quantification method is presented for evaluation of the scaffold-hopping ability of virtual screening tools.

Kernel-Based Ranking. Methods for Learning and Performance Estimation

Machine learning provides tools for automated construction of predictive models in data intensive areas of engineering and science. The family of regularized kernel methods have in the recent years become one of the mainstream approaches to machine learning, due to a number of advantages the methods share. The approach provides theoretically well-founded solutions to the problems of under- and overfitting, allows learning from structured data, and has been empirically demonstrated to yield high predictive performance on a wide range of application domains. Historically, the problems of classification and regression have gained the majority of attention in the field. In this thesis we focus on another type of learning problem, that of learning to rank. In learning to rank, the aim is from a set of past observations to learn a ranking function that can order new objects according to how well they match some underlying criterion of goodness. As an important special case of the setting, we can recover the bipartite ranking problem, corresponding to maximizing the area under the ROC curve (AUC) in binary classification. Ranking applications appear in a large variety of settings, examples encountered in this thesis include document retrieval in web search, recommender systems, information extraction and automated parsing of natural language. We consider the pairwise approach to learning to rank, where ranking models are learned by minimizing the expected probability of ranking any two randomly drawn test examples incorrectly. The development of computationally efficient kernel methods, based on this approach, has in the past proven to be challenging. Moreover, it is not clear what techniques for estimating the predictive performance of learned models are the most reliable in the ranking setting, and how the techniques can be implemented efficiently. The contributions of this thesis are as follows. First, we develop RankRLS, a computationally efficient kernel method for learning to rank, that is based on minimizing a regularized pairwise least-squares loss. In addition to training methods, we introduce a variety of algorithms for tasks such as model selection, multi-output learning, and cross-validation, based on computational shortcuts from matrix algebra. Second, we improve the fastest known training method for the linear version of the RankSVM algorithm, which is one of the most well established methods for learning to rank. Third, we study the combination of the empirical kernel map and reduced set approximation, which allows the large-scale training of kernel machines using linear solvers, and propose computationally efficient solutions to cross-validation when using the approach. Next, we explore the problem of reliable cross-validation when using AUC as a performance criterion, through an extensive simulation study. We demonstrate that the proposed leave-pair-out cross-validation approach leads to more reliable performance estimation than commonly used alternative approaches. Finally, we present a case study on applying machine learning to information extraction from biomedical literature, which combines several of the approaches considered in the thesis. The thesis is divided into two parts. Part I provides the background for the research work and summarizes the most central results, Part II consists of the five original research articles that are the main contribution of this thesis.

Improving Transportation and Warehousing Efficiency with Simulation-Based Decision Support Systems

Transportation and warehousing are large and growing sectors in the society, and their efficiency is of high importance. Transportation also has a large share of global carbondioxide emissions, which are one the leading causes of anthropogenic climate warming. Various countries have agreed to decrease their carbon emissions according to the Kyoto protocol. Transportation is the only sector where emissions have steadily increased since the 1990s, which highlights the importance of transportation efficiency. The efficiency of transportation and warehousing can be improved with the help of simulations, but models alone are not sufficient. This research concentrates on the use of simulations in decision support systems. Three main simulation approaches are used in logistics: discrete-event simulation, systems dynamics, and agent-based modeling. However, individual simulation approaches have weaknesses of their own. Hybridization (combining two or more approaches) can improve the quality of the models, as it allows using a different method to overcome the weakness of one method. It is important to choose the correct approach (or a combination of approaches) when modeling transportation and warehousing issues. If an inappropriate method is chosen (this can occur if the modeler is proficient in only one approach or the model specification is not conducted thoroughly), the simulation model will have an inaccurate structure, which in turn will lead to misleading results. This issue can further escalate, as the decision-maker may assume that the presented simulation model gives the most useful results available, even though the whole model can be based on a poorly chosen structure. In this research it is argued that simulation- based decision support systems need to take various issues into account to make a functioning decision support system. The actual simulation model can be constructed using any (or multiple) approach, it can be combined with different optimization modules, and there needs to be a proper interface between the model and the user. These issues are presented in a framework, which simulation modelers can use when creating decision support systems. In order for decision-makers to fully benefit from the simulations, the user interface needs to clearly separate the model and the user, but at the same time, the user needs to be able to run the appropriate runs in order to analyze the problems correctly. This study recommends that simulation modelers should start to transfer their tacit knowledge to explicit knowledge. This would greatly benefit the whole simulation community and improve the quality of simulation-based decision support systems as well. More studies should also be conducted by using hybrid models and integrating simulations with Graphical Information Systems.

The impact of a new partnership outsourcing arrangement: a routine-based case study in detail engineering

This thesis investigated the contemporary phenomenon of detail engineering outsourcing. The case organization had pursued a new outsourcing approach with a trusted partner. The goal of this empirical study was to examine the impact of the consequential partnership outsourcing arrangement. Particularly, the beneficence of the arrangement was evaluated based on the underlying organizational routine and the long-term economic implications of its performance outcome. The case study was needed, as the unit will likely have to rely on such distance outsourcing arrangements more and more in the future, and understanding on the impact of such operations is needed. The main findings revealed that the new outsourcing arrangement is not currently a very attractive strategic option for organizing production. The benefits which stem from the emerged, unique engineering project routine are not significant enough to make the arrangement an advantageous one, especially since increasing partnering costs are being met. This conclusion was drawn via the extended transaction cost view. Benchmarking was done in reliance to an old arrangement from which the new pursuit was a departure from. The case study then enlightened the engineering unit on the impact of its strategic maneuver by combining the routines-theory framework with contemporary methods of governance structure evaluation. Through this, it was shown that greater efforts are needed to make the new outsourcing approach a more beneficial one. However, the studied arrangement was seen to inhold potential for better results. The findings can be used to capitalize on this.

Value co-creation through virtual community participation

Consumers create a great deal of content in the Internet. As they do not get a monetary compensation for doing so, it seems apparent that other types of reward are derived from giving up one's time and other resources. The purpose of this study is to describe value creation and user participation in a virtual community. It can be broken down into three research questions. 1. What is the value creation logic of a virtual community? 2. What value is perceived by virtual community users? 3. What is the association between value perceived by virtual community users and their participation in a community? The study employs the discussion on value co-creation as well as perspectives on the notion of value for consumers to create a theoretical framework for value creation. To understand value creation in the context of virtual communities and to create a theoretical framework for user participation, existing literature and research on virtual communities is discussed. The empirical part of the study employs quantitative methodology to analyze data collected by sending a survey questionnaire to the users of a Finnish wellbeing-based virtual community. The results indicate that virtual community users perceive self-development, enjoyment, reputation-building and community commitment value when using the service and that value perceptions are associated with community participation. Moreover, it was found that different types of value are associated with different forms of participation. Based on the findings, it is suggested that the four types of value make up a considerable share of value for virtual community users. Moreover, as the results indicate that different value types are associated with different forms of participation, it suggested that virtual community organizers consider what forms of participation they want to promote and design their virtual communities to support creation of the different types of value accordingly.

A simulation model of the optimal maintenance strategy: conceptual agent-based approach

In this Master’s thesis agent-based modeling has been used to analyze maintenance strategy related phenomena. The main research question that has been answered was: what does the agent-based model made for this study tell us about how different maintenance strategy decisions affect profitability of equipment owners and maintenance service providers? Thus, the main outcome of this study is an analysis of how profitability can be increased in industrial maintenance context. To answer that question, first, a literature review of maintenance strategy, agent-based modeling and maintenance modeling and optimization was conducted. This review provided the basis for making the agent-based model. Making the model followed a standard simulation modeling procedure. With the simulation results from the agent-based model the research question was answered. Specifically, the results of the modeling and this study are: (1) optimizing the point in which a machine is maintained increases profitability for the owner of the machine and also the maintainer with certain conditions; (2) time-based pricing of maintenance services leads to a zero-sum game between the parties; (3) value-based pricing of maintenance services leads to a win-win game between the parties, if the owners of the machines share a substantial amount of their value to the maintainers; and (4) error in machine condition measurement is a critical parameter to optimizing maintenance strategy, and there is real systemic value in having more accurate machine condition measurement systems.

Experimental study applied to an industrial robot by using variable structure controllers and friction compensation

Control of an industrial robot is mainly a problem of dynamics. It includes non-linearities, uncertainties and external perturbations that should be considered in the design of control laws. In this work, two control strategies based on variable structure controllers (VSC) and a PD control algorithm are compared in relation to the tracking errors considering friction. The controller's performances are evaluated by adding an static friction model. Simulations and experimental results show it is possible to diminish tracking errors by using a model based friction compensation scheme. A SCARA robot is used to illustrate the conclusions of this paper.

Creating an open-books implementation framework for a maintenance-related value-based life-cycle model

This study is a qualitative action research by its nature with elements of personal design in the form of a tangible model implementation framework construction. Utilized empirical data has been gathered via two questionnaires in relation to the arranged four workshop events with twelve individual participants. Five of them represented maintenance customers, three maintenance service providers and four equipment providers respectively. Further, there are two main research objectives in proportion to the two complementary focusing areas of this thesis. Firstly, the value-based life-cycle model, which first version has already been developed prior to this thesis, requires updating in order to increase its real-life applicability as an inter-firm decision-making tool in industrial maintenance. This first research objective is fulfilled by improving appearance, intelligibility and usability of the above-mentioned model. In addition, certain new features are also added. The workshop participants from the collaborating companies were reasonably pleased with made changes, although further attention will be required in future on the model’s intelligibility in particular as main results, charts and values were all reckoned as slightly hard to understand. Moreover, upgraded model’s appearance and added new features satisfied them the most. Secondly and more importantly, the premises of the model’s possible inter-firm implementation process need to be considered. This second research objective is delivered in two consecutive steps. At first, a bipartite open-books supported implementation framework is created and its different characteristics discussed in theory. Afterwards, the prerequisites and the pitfalls of increasing inter-organizational information transparency are studied in empirical context. One of the main findings was that the organizations are not yet prepared for network-wide information disclosure as dyadic collaboration was favored instead. However, they would be willing to share information bilaterally at least. Another major result was that the present state of companies’ cost accounting systems will definitely need implementation-wise enhancing in future since accurate and sufficiently detailed maintenance data is not available. Further, it will also be crucial to create supporting and mutually agreed network infrastructure. There are hardly any collaborative models, methods or tools currently in usage. Lastly, the essential questions about mutual trust and predominant purchasing strategies are cooperation-wise important. If inter-organizational activities are expanded, a more relational approach should be favored in this regard. Mutual trust was also recognized as a significant cooperation factor, but it is hard to measure in reality.

Testing Accrual-Based Model for Detecting Earnings Management: Comparison of Finland and France

The aim of this study is to test the accrual-based model suggested by Dechow et al. (1995) in order to detect and compare earnings management practices in Finnish and French companies. Also the impact of financial crisis of 2008 on earnings management behavior in these countries is tested by dividing the whole time period of 2003-2012 into two sub-periods: pre-crisis (2003-2008) and post-crisis (2009-2012). Results support the idea that companies in both countries have significant earnings management practices. During the post-crisis period companies in Finland show income inflating practices, while in France the opposite tendency is noticed (income deflating) during the same period. Results of the assumption that managers in highly concentrated companies are engaged in income enhancing practices vary in two countries. While in Finland managers are trying to show better performance for bonuses or other contractual compensation motivations, in France they avoid paying dividends or high taxes.

“Why share in uncertain conditions?” Factors of individual level knowledge sharing in offshoring cases

The objective of this Master’s Thesis was to research factors influencing and enhancing individual level knowledge sharing in offshore projects which often involve uncertainty of the knowledge provider’s own future. The purpose was to understand why individuals are willing to share their knowledge under these kinds of circumstances. In addition the goal was to identify obstacles to interpersonal knowledge sharing in order to understand how to mitigate their influence. The research was conducted as a qualitative multiple case study in a global IT company, and the data was gathered using semi-structured personal theme interviews within two different offshore projects. In order to a gain a wider perspective on the matter, some management representatives were interviewed as well. Data was analysed with the inductive content analysis method. Results of the study indicate that individuals are willing to share their knowledge despite of uncertainty if they are motivated, if they are provided with opportunities to do so, and if they have skills, competence and experience to share their knowledge. A strong knowledge sharing culture in the organization or team also works as a strong incentive for individual level knowledge sharing. The findings suggest that even under uncertain conditions it is possible to encourage people to share their knowledge if uncertainty can be decreased to a bearable level, a robust and personal connection and relationship between the knowledge provider and acquirer can be created and suitable opportunities for knowledge sharing are provided. In addition, based on the results the support and commitment of management and HR in addition to favourable environmental circumstances play an essential role in building a bridge between the knowledge provider and acquirer in order to create a virtual environment and space for knowledge sharing: Ba.

Utilising student profiles in mathematics course arrangements

This thesis develops a method for identifying students struggling in their mathematical studies at an early stage. It helps in directing support to students needing and benefiting from it the most. Thus, frustration felt by weaker students may decrease and therefore, hopefully, also drop outs of potential engineering students. The research concentrates on a combination of personality and intelligence aspects. Personality aspects gave information on conation and motivation for learning. This part was studied from the perspective of motivation and self-regulation. Intelligence aspects gave information on declarative and procedural knowledge: what had been taught and what was actually mastered. Students answered surveys on motivation and self-regulation in 2010 and 2011. Based on their answers, background information, results in the proficiency test, and grades in the first mathematics course, profiles describing the students were formed. In the following years, the profiles were updated with new information obtained each year. The profiles used to identify struggling students combine personality (motivation, selfregulation, and self-efficacy) and intelligence (declarative and procedural knowledge) aspects at the beginning of their studies. Identifying students in need of extra support is a good start, but methods for providing support must be found. This thesis also studies how this support could be taken into account in course arrangements. The methods used include, for example, languaging and scaffolding, and continuous feedback. The analysis revealed that allocating resources based on the predicted progress does not increase costs or lower the results of better students. Instead, it will help weaker students obtain passing grades.