For the Record: DSpace and Academic Accreditation

Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

The usage of experimental research in business-to-business marketing context in academic marketing journals

The aim of this master’s thesis is to introduce what is experimental research and how the researcher is able to use this researching method in business-to-business context. This work has been done with analyzing articles of four academic marketing journals from years 1992-2012. In the literature part there is introduction of the nature of the experimental research, its terminology and design. There is also discussion about limitations of experimental research and comparison of experimental research to quasi-experimental design. In the results part there is a review how experimental research has been used in the business-to-business context in the past two decades. In the analysis there is introduction of themes, samplings, different kinds of variables and main findings. The work offers a good understanding to nature of experimental research and useful data for organizing a real experimental study.

Carrier selection and management : A case study on Neste Oil Retail

Service provider selection has been said to be a critical factor in the formation of supply chains. Through successful selection companies can attain competitive advantage, cost savings and more flexible operations. Service provider management is the next crucial step in outsourcing process after the selection has been made. Without proper management companies cannot be sure about the level of service they have bought and they may suffer from service provider's opportunistic behavior. In worst case scenario the buyer company may end up in locked-in situation in which it is totally dependent of the service provider. This thesis studies how the case company conducts its carrier selection process along with the criteria related to it. A model for the final selection is also provided. In addition, case company's carrier management procedures are reflected against recommendations from previous researches. The research was conducted as a qualitative case study on the principal company, Neste Oil Retail. A literature review was made on outsourcing, service provider selection and service provider management. On the basis of the literature review, this thesis ended up recommending Analytic hierarchy process as the preferred model for the carrier selection. Furthermore, Agency theory was seen to be a functional framework for carrier management in this study. Empirical part of this thesis was conducted in the case company by interviewing the key persons in the selection process, making observations and going through documentations related to the subject. According to the results from the study, both carrier selection process as well as carrier management were closely in line with suggestions from literature review. Analytic hierarchy process results revealed that the case company considers service quality as the most important criteria with financial situation and price of service following behind with almost identical weights with each other. Equipment and personnel was seen as the least important selection criterion. Regarding carrier management, the study resulted in the conclusion that the company should consider engaging more in carrier development and working towards beneficial and effective relationships. Otherwise, no major changes were recommended for the case company processes.

Working fluid selection and design of small-scale waste heat recovery systems based on organic Rankine cycles

Demand for the use of energy systems, entailing high efficiency as well as availability to harness renewable energy sources, is a key issue in order to tackling the threat of global warming and saving natural resources. Organic Rankine cycle (ORC) technology has been identified as one of the most promising technologies in recovering low-grade heat sources and in harnessing renewable energy sources that cannot be efficiently utilized by means of more conventional power systems. The ORC is based on the working principle of Rankine process, but an organic working fluid is adopted in the cycle instead of steam. This thesis presents numerical and experimental results of the study on the design of small-scale ORCs. Two main applications were selected for the thesis: waste heat re- covery from small-scale diesel engines concentrating on the utilization of the exhaust gas heat and waste heat recovery in large industrial-scale engine power plants considering the utilization of both the high and low temperature heat sources. The main objective of this work was to identify suitable working fluid candidates and to study the process and turbine design methods that can be applied when power plants based on the use of non-conventional working fluids are considered. The computational work included the use of thermodynamic analysis methods and turbine design methods that were based on the use of highly accurate fluid properties. In addition, the design and loss mechanisms in supersonic ORC turbines were studied by means of computational fluid dynamics. The results indicated that the design of ORC is highly influenced by the selection of the working fluid and cycle operational conditions. The results for the turbine designs in- dicated that the working fluid selection should not be based only on the thermodynamic analysis, but requires also considerations on the turbine design. The turbines tend to be fast rotating, entailing small blade heights at the turbine rotor inlet and highly supersonic flow in the turbine flow passages, especially when power systems with low power outputs are designed. The results indicated that the ORC is a potential solution in utilizing waste heat streams both at high and low temperatures and both in micro and larger scale appli- cations.

Portfolio Selection via Composite Measure Analysis: Evidence from the U.S. Stock Market

The aim of this research is to examine the pricing anomalies existing in the U.S. market during 1986 to 2011. The sample of stocks is divided into decile portfolios based on seven individual valuation ratios (E/P, B/P, S/P, EBIT/EV, EVITDA/EV, D/P, and CE/P) and price momentum to investigate the efficiency of individual valuation ratio and their combinations as portfolio formation criteria. This is the first time in financial literature when CE/P is employed as a constituent of composite value measure. The combinations are based on median scaled composite value measures and TOPSIS method. During the sample period value portfolios significantly outperform both the market portfolio and comparable glamour portfolios. The results show the highest return for the value portfolio that was based on the combination of S/P & CE/P ratios. The outcome of this research will increase the understanding on the suitability of different methodologies for portfolio selection. It will help managers to take advantage of the results of different methodologies in order to gain returns above the market.

Green supplier selection via Multiple Criteria Data Envelopment Analysis

An appropriate supplier selection and its profound effects on increasing the competitive advantage of companies has been widely discussed in supply chain management (SCM) literature. By raising environmental awareness among companies and industries they attach more importance to sustainable and green activities in selection procedures of raw material providers. The current thesis benefits from data envelopment analysis (DEA) technique to evaluate the relative efficiency of suppliers in the presence of carbon dioxide (CO2) emission for green supplier selection. We incorporate the pollution of suppliers as an undesirable output into DEA. However, to do so, two conventional DEA model problems arise: the lack of the discrimination power among decision making units (DMUs) and flexibility of the inputs and outputs weights. To overcome these limitations, we use multiple criteria DEA (MCDEA) as one alternative. By applying MCDEA the number of suppliers which are identified as efficient will be decreased and will lead to a better ranking and selection of the suppliers. Besides, in order to compare the performance of the suppliers with an ideal supplier, a “virtual” best practice supplier is introduced. The presence of the ideal virtual supplier will also increase the discrimination power of the model for a better ranking of the suppliers. Therefore, a new MCDEA model is proposed to simultaneously handle undesirable outputs and virtual DMU. The developed model is applied for green supplier selection problem. A numerical example illustrates the applicability of the proposed model.

Peruskoulun yläkouluvalinnat Turussa. Perheiden yläkouluvalintojen rakentuminen äitien puheissa ja toimissa

Tutkimuksessa tarkastellaan peruskoulun yläkouluvalintoja Turussa. Tarkastelun keskiössä ovat vuonna 1997 syntyneiden turkulaislasten vanhempien yläkouluvalintaa koskeva yleinen sekä omaan lapseen kiinnittyvä puhe ja toimijuus paikallisessa institutionaalisessa kouluvalintatilassa sekä vanhempien lapsen koulutukseen ja kouluvalintaan liittämät perustelut, merkitykset, arvot ja arvostukset. Tämän lisäksi tutkimuksessa tarkastellaan puheesta ja toimista rakentuvia perheiden kouluvalintastrategioita, joita peilataan äitien koulutuksellisiin ja sosiaalisiin resursseihin sekä paikalliseen toimintapolitiikkaan. Tutkimus ei kerro ainoastaan paikallisessa kontekstissa tapahtuvista kouluvalinnoista, vaan laajemmin yhteiskunnassa vallitsevista hierarkioista ja arvoista sekä koulutukseen ja sosioekonomiseen asemaan linkittyvistä normatiivisista toimintatavoista. Tutkimuksessa käytetään haastattelu- ja kyselyaineistoja. Aineistot kerättiin osana kahta laajempaa Suomen Akatemian rahoittamaa Helsingin ja Turun yliopistojen kanssa yhteistyössä tehtyä tutkimusprojektia Vanhemmat ja kouluvalinta – Perheiden koulutusstrategiat, eriarvoistuminen ja paikalliset koulupolitiikat suomalaisessa peruskoulussa (VAKOVA) 2009–2012 sekä Parents and School Choice. Family Strategies, Segregation and School Policies in Chilean and Finnish Basic Schooling (PASC) 2010–2013. Tutkimusaineistot koostuvat 87 turkulaisäidin haastattelusta ja kyselyaineistosta. Kyselyaineiston analyysissä on käytetty kuvailevia tilastollisia menetelmiä, ja sitä käytetään ensisijaisesti taustoittamaan haastatteluaineistoa. Haastatteluaineiston analyysi perustuu pääasiallisesti teema-analyysiin, mutta toimija-asema-analyysin osalta myös diskursiiviseen lähestymistapaan. Haastatteluaineiston pohjalta esiin nousseiden lasten koulutusta ja kouluvalintoja koskevien kuvausten perusteella perheiden yläkouluvalinnat jaettiin kolmeen erityyppiseen valintastrategiaan: perinteiseen lähikouluvalintastrategiaan (n=41), ambivalenttiseen kouluvalintastrategiaan (n=23) ja päämäärätietoiseen kouluvalintastrategiaan (n=23). Jokainen kolmesta strategiasta piti sisällään kahdenlaista toimijuutta kouluvalintakentällä. Ryhmittely kouluvalintastrategioittain ja toimija-asemittain perustui äitien puhetapaan kouluvalinnoista ja yleisemmin koulutukseen liitetyistä merkityksistä ja arvoista sekä konkreettiseen toimintaan kouluvalinnan suhteen. Lähikouluvalintastrategiaa suosivien jälkeläiset siirtyivät koulunsa yleisluokalle. Perheet toimivat valintakentällä kaupungin rajaavan toimintapolitiikan ohjaamina, jolloin kouluvalinta näytti passiiviselta. Osoitteenmukaiseen kouluun siirtymistä perusteltiin praktisilla syillä; koulumatkan pituudella, kulkuyhteyksillä ja lapsen kaverisuhteilla. Hyvinvointivaltion edellytykseksi nähtiin kaikille taattu samanvertainen koulutus ja edelleen luotettiin perinteistä peruskoulua määrittävään mahdollisuuksien tasa-arvoon. Koulutuksen yhdeksi tärkeäksi tehtäväksi nähtiin lapsen kasvattaminen hyvinvoivaksi ja onnelliseksi. Vanhempien toiminta oli perinteisen kouluvalintastrategian mukaista. Ambivalenttista kouluvalintastrategiaa käyttävistä perheistä toiminta kouluvalintakentällä oli kahtalaista. Äidit joko harkitsivat kouluvalintoja tai vertailivat kouluja ja niihin pääsymahdollisuuksia realistisesti tasapainoillen ohjaavan ja mahdollistavan toimintapolitiikan välimaastossa. Tärkeintä oli olla tietoinen kaupungin kouluvalintapolitiikasta sekä siitä, että valinnoilla voi olla merkitystä jälkikasvun koulupolulle. Eri vaihtoehtojen punnitsemisen jälkeen päädyttiin useimmin lähikoulun painotettuun opetukseen. Lapsen peruskoulutusta haluttiin rikastaa painotetulla opetuksella ja hänen toivottiin pääsevän motivoituneeseen ja oppimismyönteiseen koululuokkaan. Valintoja tehtiin paikallisen toimintapolitiikan puitteissa lapsen parasta toivoen. Koulutuksen tehtäväksi nähtiin lapsen intellektuaalinen kasvu kiedottuna koulutuksen tuottamaan hyvinvointiin ja onnellisuuteen. Perheiden valintastrategiaksi muodostui ambivalenttinen strategia motivoituneen oppimisympäristön löytämiseksi. Päämäärätietoista kouluvalintastrategiaa käyttävät vanhemmat hyödynsivät aktiivisesti erilaisia reittejä tiettyihin yläkouluihin pääsemiseksi. Ennakoivien perheiden lapset olivat opiskelleet sellaisessa alakoulussa, joka ei kuulunut yläkoulun oppilasalueelle, mutta takasi lapselle reitin suosittuun yläkouluun. Määrätietoisten perheissä havahduttiin valintoihin puolestaan yläkouluun siirryttäessä, jolloin koulupaikkaa haettiin sopivimman painotetun opetuksen ja koulun maineen mukaan pois lähiyläkoulusta. Lähikoulu -periaate koettiin epäoikeudenmukaiseksi, sillä lapsella tulee olla oikeus toteuttaa omia kykyjään ja lahjakkuuttaan valikoidussa oppilasryhmässä ja perheillä mahdollisuus valita lapsen koulu. Paikallinen toimintapolitiikka ei näyttänyt rajaavan vanhempien kouluvalintoja. Koulutuksen tarkoitukseksi nähtiin intellektuaalinen kasvu ja akateemissivistävä tehtävä. Päämäärätietoisen kouluvalintavalintastrategian tavoitteena oli perheelle sopivan habituksen takaaminen. Paikallinen toimintapolitiikka mahdollisti vanhempien erilaisten kouluvalintastrategioiden rakentumisen ohjaten ensisijaisesti lähiyläkouluun, mutta samalla mahdollistaen koulun valinnan toissijaisen haun kriteerein. Kouluvalintastrategioihin ja toimintatapaan kouluvalintakentällä kytkeytyi vanhempien koulutukseen liittämät arvot sekä kulttuuriset ja sosiaaliset resurssit ja se, miten niitä käytettiin.

Scalable Feature Selection Applications for Genome-Wide Association Studies of Complex Diseases

Personalized medicine will revolutionize our capabilities to combat disease. Working toward this goal, a fundamental task is the deciphering of geneticvariants that are predictive of complex diseases. Modern studies, in the formof genome-wide association studies (GWAS) have afforded researchers with the opportunity to reveal new genotype-phenotype relationships through the extensive scanning of genetic variants. These studies typically contain over half a million genetic features for thousands of individuals. Examining this with methods other than univariate statistics is a challenging task requiring advanced algorithms that are scalable to the genome-wide level. In the future, next-generation sequencing studies (NGS) will contain an even larger number of common and rare variants. Machine learning-based feature selection algorithms have been shown to have the ability to effectively create predictive models for various genotype-phenotype relationships. This work explores the problem of selecting genetic variant subsets that are the most predictive of complex disease phenotypes through various feature selection methodologies, including filter, wrapper and embedded algorithms. The examined machine learning algorithms were demonstrated to not only be effective at predicting the disease phenotypes, but also doing so efficiently through the use of computational shortcuts. While much of the work was able to be run on high-end desktops, some work was further extended so that it could be implemented on parallel computers helping to assure that they will also scale to the NGS data sets. Further, these studies analyzed the relationships between various feature selection methods and demonstrated the need for careful testing when selecting an algorithm. It was shown that there is no universally optimal algorithm for variant selection in GWAS, but rather methodologies need to be selected based on the desired outcome, such as the number of features to be included in the prediction model. It was also demonstrated that without proper model validation, for example using nested cross-validation, the models can result in overly-optimistic prediction accuracies and decreased generalization ability. It is through the implementation and application of machine learning methods that one can extract predictive genotype–phenotype relationships and biological insights from genetic data sets.

Nichesourcing for the benefit of linguistic research and native speakers

The National Library of Finland is implementing the Digitization Project of Kindred Languages in 2012–16. Within the project we will digitize materials in the Uralic languages as well as develop tools to support linguistic research and citizen science. Through this project, researchers will gain access to new corpora 329 and to which all users will have open access regardless of their place of residence. Our objective is to make sure that the new corpora are made available for the open and interactive use of both the academic community and the language societies as a whole. The project seeks to digitize and publish approximately 1200 monograph titles and more than 100 newspapers titles in various Uralic languages. The digitization will be completed by the early of 2015, when the Fenno-Ugrica collection would contain around 200 000 pages of editable text. The researchers cannot spend so much time with the material that they could retrieve a satisfactory amount of edited words, so the participation of a crowd in editing work is needed. Often the targets in crowdsourcing have been split into several microtasks that do not require any special skills from the anonymous people, a faceless crowd. This way of crowdsourcing may produce quantitative results, but from the research’s point of view, there is a danger that the needs of linguistic research are not necessarily met. Also, the number of pages is too high to deal with. The remarkable downside is the lack of shared goal or social affinity. There is no reward in traditional methods of crowdsourcing. Nichesourcing is a specific type of crowdsourcing where tasks are distributed amongst a small crowd of citizen scientists (communities). Although communities provide smaller pools to draw resources, their specific richness in skill is suited for the complex tasks with high-quality product expectations found in nichesourcing. Communities have purpose, identity and their regular interactions engenders social trust and reputation. These communities can correspond to research more precisely. Instead of repetitive and rather trivial tasks, we are trying to utilize the knowledge and skills of citizen scientists to provide qualitative results. Some selection must be made, since we are not aiming to correct all 200,000 pages which we have digitized, but give such assignments to citizen scientists that would precisely fill the gaps in linguistic research. A typical task would editing and collecting the words in such fields of vocabularies, where the researchers do require more information. For instance, there’s a lack of Hill Mari words in anatomy. We have digitized the books in medicine and we could try to track the words related to human organs by assigning the citizen scientists to edit and collect words with OCR editor. From the nichesourcing’s perspective, it is essential that the altruism plays a central role, when the language communities involve. Upon the nichesourcing, our goal is to reach a certain level of interplay, where the language communities would benefit on the results. For instance, the corrected words in Ingrian will be added onto the online dictionary, which is made freely available for the public and the society can benefit too. This objective of interplay can be understood as an aspiration to support the endangered languages and the maintenance of lingual diversity, but also as a servant of “two masters”, the research and the society.

CORPORATE GRASSROOTS LOBBYING IN THE EUROPEAN UNION

The European Union has gone through significant changes in the past 20 years. The importance of public opinion in politics has increased and the new technologies are empowering the wider public to express its opinions. The purpose of this study is to explore how corporations use the tactic of grassroots lobbying in the European Union environment. The research objectives were addressed through qualitative research methods. Six expert interviews were conducted to find new perspectives and to deepen the understanding of the research objectives. Following the data collection, the research material was transcribed and analysed. In the analysis, the data was organized based on concepts and themes found from the literature review. The empirical findings on grassroots lobbying in the EU were presented. It was found that when a company is selecting grassroots lobbying tactic, the familiarity of the tactic, organizational culture, financial resources and amount of stakeholders seem to have an impact to the selection. The issues that are successfully lobbied through the grassroots-lobbying tactic were seen to be those, which have high and direct impact on lives of people, arouse strong feelings and are not very complex. Furthermore, when deciding on the timing of a campaign, in the EU it was found that a company should take into account the long policy process and limited capabilities to mobilise people. Targeting the object of the campaign and selecting the channels used in a grassroots- lobbying campaign were seen to be in function of identifying the key decision-makers on the issue. The decisions of who to mobilise and the mobilisation channels were considered to be dependant on who the campaign is trying to influence. Also, it was found that when the implementing a grassroots lobbying campaign in the EU environment, the special features such as multiple cultures and languages should be taken into account. This study has provided novel practical insights for corporate grassroots lobbying in the EU environment and furthermore successfully contributed to the academic research in the field.