Organizational learning from customer interaction

In the fierce competition of today‟s business world an organization‟s capacity to learn maybe its only competitive advantage. This research aims at increasing the understanding on how organizational learning from the customer happens in technology companies. In doing so it provides a synthesized definition of organizational learning and investigates processes of organizational learning within technology companies. A qualitative research method and in-depth interviews with different sized high technology companies, as applied here, enables in-depth study of the learning processes. Research contributes to the understanding of what type of knowledge firms acquire, how new knowledge is transferred and used in a learning firm‟s routines and processes. Research findings show that SMEs and large size companies also, depending on their position in the software value chain, consider different knowledge types as most important and that they use different learning methods to acquire knowledge from their customers.

Learning from projects: a qualitative metasummary

The objective of this thesis was to form an understanding about the common gaps in learning from projects, as well as possible approaches to bridging them. In the research focus were the questions on how project teams create knowledge, which fac- tors affect the capture and re-use of this knowledge and how organizations can best capture and utilize this project-based knowledge. The method used was qualitative metasummary, a literature-based research method that has previously been mainly applied in the domains of nursing and health care research. The focus was laid on firms conducting knowledge-intensive business in some form of matrix organization. The research produced a theoretical model of knowledge creation in projects as well as a typology of factors affecting transfer of project-based knowledge. These include experience, culture and leadership, planning and controlling, relationships, project review and documentation. From these factors, suggestions could be derived as to how organizations should conduct projects in order not to lose what has been learned.

Learning Robot Motions from Visual Sensing

Learning from demonstration becomes increasingly popular as an efficient way of robot programming. Not only a scientific interest acts as an inspiration in this case but also the possibility of producing the machines that would find application in different areas of life: robots helping with daily routine at home, high performance automata in industries or friendly toys for children. One way to teach a robot to fulfill complex tasks is to start with simple training exercises, combining them to form more difficult behavior. The objective of the Master’s thesis work was to study robot programming with visual input. Dynamic movement primitives (DMPs) were chosen as a tool for motion learning and generation. Assuming a movement to be a spring system influenced by an external force, making this system move, DMPs represent the motion as a set of non-linear differential equations. During the experiments the properties of DMP, such as temporal and spacial invariance, were examined. The effect of the DMP parameters, including spring coefficient, damping factor, temporal scaling, on the trajectory generated were studied.

Learning in Product Development Projects - Responding to challenges in global industrial company

Verkostoitunut kansainvälinen tuotekehitys on tärkeä osa menestystä nykypäivän muuttuvassa yritysmaailmassa. Toimintojen tehostamiseksi myös projektitoiminnot on sopeutettava kansainväliseen toimintaympäristöön. Kilpailukyvyn säilyttämiseksi projektitoimintoja on lisäksi jatkuvasti tehostettava. Yhtenäkeinona nähdään projektioppiminen, jota voidaan edistää monin eri tavoin. Tässätyössä keskitytään projektitiedonhallinnan kehittämisen tuomiin oppimismahdollisuuksiin. Kirjallisuudessa kerrotaan, että projektitiedon jakaminen ja sen hyödyntäminen seuraavissa projekteissa on eräs projektioppimisen edellytyksistä. Tämäon otettu keskeiseksi näkökulmaksi tässä tutkimuksessa. Lisäksi tutkimusalueen rajaamiseksi työ tarkastelee erityisesti projektioppimista kansainvälisten tuotekehitysprojektien välillä. Työn tavoitteena on esitellä keskeisiä projektioppimisen haasteita ja etsiä konkreettinen ratkaisu vastaamaan näihin haasteisiin. Tuotekehitystoiminnot ja kansainvälinen hajautettu projektiorganisaatio kohtaavat lisäksi erityisiä haasteita, kuten tiedon hajautuneisuus, projektihenkilöstön vaihtuvuus, tiedon luottamuksellisuus ja maantieteelliset haasteet (esim. aikavyöhykkeet ja toimipisteen sijainti). Nämä erityishaasteet on otettu huomioon ratkaisua etsittäessä. Haasteisiin päädyttiin vastaamaan tietotekniikkapohjaisella ratkaisulla, joka suunniteltiin erityisesti huomioiden esimerkkiorganisaation tarpeet ja haasteet. Työssä tarkastellaan suunnitellun ratkaisun vaikutusta projektioppimiseen ja kuinka se vastaa havaittuihin haasteisiin. Tuloksissa huomattiin, että projektioppimista tapahtui, vaikka oppimista oli vaikea suoranaisesti huomata tutkimusorganisaation jäsenten keskuudessa. Projektioppimista voidaan kuitenkin sanoa tapahtuvan, jos projektitieto on helposti koko projektiryhmän saatavilla ja se on hyvin järjesteltyä. Muun muassa nämä ehdot täyttyivät. Projektioppiminen nähdään yleisesti haastavana kehitysalueena esimerkkiorganisaatiossa. Suuri osa tietämyksestä on niin sanottua hiljaistatietoa, jota on hankala tai mahdoton saattaa kirjalliseen muotoon. Näin olleen tiedon siirtäminen jää suurelta osin henkilökohtaisen vuorovaikutuksen varaan. Siitä huolimatta projektioppimista on mahdollista kehittää erilaisin toimintamallein ja menetelmin. Kehitys vaatii kuitenkin resursseja, pitkäjänteisyyttä ja aikaa. Monet muutokset voivat vaatia myös organisaatiokulttuurin muutoksen ja vaikuttamista organisaation jäseniin. Motivaatio, positiiviset mielikuvat ja selkeät strategiset tavoitteet luovat vakaan pohjan projektioppimisen kehittämiselle.

Promoting Programming Learning. Engagement, Automatic Assessment with Immediate Feedback in Visualizations

The skill of programming is a key asset for every computer science student. Many studies have shown that this is a hard skill to learn and the outcomes of programming courses have often been substandard. Thus, a range of methods and tools have been developed to assist students’ learning processes. One of the biggest fields in computer science education is the use of visualizations as a learning aid and many visualization based tools have been developed to aid the learning process during last few decades. Studies conducted in this thesis focus on two different visualizationbased tools TRAKLA2 and ViLLE. This thesis includes results from multiple empirical studies about what kind of effects the introduction and usage of these tools have on students’ opinions and performance, and what kind of implications there are from a teacher’s point of view. The results from studies in this thesis show that students preferred to do web-based exercises, and felt that those exercises contributed to their learning. The usage of the tool motivated students to work harder during their course, which was shown in overall course performance and drop-out statistics. We have also shown that visualization-based tools can be used to enhance the learning process, and one of the key factors is the higher and active level of engagement (see. Engagement Taxonomy by Naps et al., 2002). The automatic grading accompanied with immediate feedback helps students to overcome obstacles during the learning process, and to grasp the key element in the learning task. These kinds of tools can help us to cope with the fact that many programming courses are overcrowded with limited teaching resources. These tools allows us to tackle this problem by utilizing automatic assessment in exercises that are most suitable to be done in the web (like tracing and simulation) since its supports students’ independent learning regardless of time and place. In summary, we can use our course’s resources more efficiently to increase the quality of the learning experience of the students and the teaching experience of the teacher, and even increase performance of the students. There are also methodological results from this thesis which contribute to developing insight into the conduct of empirical evaluations of new tools or techniques. When we evaluate a new tool, especially one accompanied with visualization, we need to give a proper introduction to it and to the graphical notation used by tool. The standard procedure should also include capturing the screen with audio to confirm that the participants of the experiment are doing what they are supposed to do. By taken such measures in the study of the learning impact of visualization support for learning, we can avoid drawing false conclusion from our experiments. As computer science educators, we face two important challenges. Firstly, we need to start to deliver the message in our own institution and all over the world about the new – scientifically proven – innovations in teaching like TRAKLA2 and ViLLE. Secondly, we have the relevant experience of conducting teaching related experiment, and thus we can support our colleagues to learn essential know-how of the research based improvement of their teaching. This change can transform academic teaching into publications and by utilizing this approach we can significantly increase the adoption of the new tools and techniques, and overall increase the knowledge of best-practices. In future, we need to combine our forces and tackle these universal and common problems together by creating multi-national and multiinstitutional research projects. We need to create a community and a platform in which we can share these best practices and at the same time conduct multi-national research projects easily.

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.

Corporate Social Responsibility and Shipping Views of Baltic Sea Shipping Companies on the Benefits of Responsibility

The safety of shipping operations in the Baltic Sea is an extensively studied issue due to the density of traffic and the ecological sensitivity of the area. The focus has, however, mainly been on ship technology or on traffic control measures and the operative safety aspect of shipping is in a minor position in maritime safety studies and is lacking in terms of solutions. Self-regulatory and voluntary measures could be effective ways to improve the operational safety of shipping. Corporate social responsibility, or CSR, is one example of a voluntary measure that the shipping companies can take. CSR can enhance maritime safety and improve the shipping companies’ competitiveness. The aim of this study is to increase the knowledge of CSR in the maritime sector and study its applicability and benefits to the shipping companies. The research comprises of a theory part and a questionnaire study, which examine the significance of corporate social responsibility in shipping companies’ maritime safety and competitiveness. The aim of the questionnaire study is to find out how corporate social responsibility is implemented in the shipping companies. According to the literature review, responsible actions can produce financial and time costs, but due to these actions cost savings in the form of learning and increased efficiency can be achieved. Responsible actions can also produce concrete improvements and a reputation of responsibility that can lead to both cost savings and increase in the company’s income. CSR is recognised as having real business benefits in terms of attracting customers and high-quality employees. In shipping, CSR usually focuses on environmental issues. Environmental social responsibility in shipping is mainly motivated by the need to comply with existing and forthcoming regulation. Shipping companies engage in CSR to gain competitive advantage and to increase maritime safety. The social aspects of CSR take into account the well-being and skills of the employees, corporation and other stakeholders of the company. The questionnaire study revealed that the most common CSR measures in shipping companies are environmental measures, and that environmental concerns are considered to be the most important reason to engage in CSR. From the preliminary question about the concept of CSR it can also be seen that safety issues are commonly considered to be a part of CSR and safety gains are the second most important reason to engage in CSR. From the questionnaire, it can also be extrapolated that gaining a better reputation is one of the most important reasons to engage in CSR in the first place. For example, the main economic benefit was seen to be the increase of customer numbers as a result of a better reputation. Based on the study, it would seem that companies are starting to realise that they might gain competitive advantage and be favoured as shippers if they engage in sustainable, responsible operations and present themselves as “green”.

Esimies osaamisen mahdollistajana

Tämän pro gradu -tutkielman tavoitteena oli esitellä ja analysoida osaami-sen johtamista sekä tuottaa käytännön suosituksia Alko Oy:n myymälöiden lähiesimiehille heidän henkilökuntansa osaamisen kehittämiseksi. Tämän lisäksi tutkimuksessa pyrittiin kerätyn aineiston avulla luomaan ymmärrys siitä, miten osaamisen johtamiset keinot vaikuttavat asiakastyytyväisyyteen. Tutkimus toteutettiin vertailevana tapaustutkimuksena ja tutkimusaineistoa kerättiin sekä kvantitatiivisella että kvalitatiivisella tutkimusmenetelmällä. Kohdeyrityksen myyjille lähetettiin kyselylomake heidän esimiestensä osaamisen johtamisen toimista, ja kyselystä saadun tiedon syventämiseksi haastateltiin kahdeksaa myymäläpäällikköä osaamisen johtamisen teemoista. Tutkimuksen perusteella pystyttiin muodostaman käsitys siitä, mistä osaa-misen johtaminen koostuu ja miten paremman ja heikomman osaamisen omaavien myymälöiden esimiesten toimet eroavat toisistaan. Vastausten perusteella saatiin myös ymmärrys niistä osa-alueista, joita kohdeyrityksen esimiesten toiminnassa pitäisi pyrkiä kehittämään. Osaamisen kehittämisen perustan muodostavat esimiehen oma esimerkki ja oppimiseen kannustava ilmapiiri. Esimies, joka onnistuu suuntaamaan henkilökuntansa oppimisen tukemaan organisaation tavoitteita, osaa henkilökohtaistaa yhtiön strategian sopimaan jokaisen toimenkuvaan. Oppimisen tukemisessa vaaditaan esimieheltä vahvaa henkilökunnan tuntemusta, tavoitteiden asettamista ja niiden toteutumisen seurantaa. Tutkimus osoitti esimiesten olevan pääsääntöisesti innostuneita työstään ja onnistuvan osaamisen suuntaamisen toimissa hyvin. Esimiehet voisivat kehittää toimintaansa ottamalla oman henkilökuntansa mukaan toiminnan suunnitteluun ja vastuuttamalla heitä myymälän toiminnan ja oman ammattitaitonsa jatkuvaan kehittämiseen.

A multimethod examination of contributors to successful on-the-job learning for vocational students

Rapid changes in working life and competence requirements of different professions have increased interest in workplace learning. It is considered an effective way to learn and update professional skills by performing daily tasks in an authentic environment. Especially, ensuring a supply of skilled future workers is a crucial issue for firms facing tight competition and a shortage of competent employees due to the retirement of current professionals. In order to develop and make the most of workplace learning, it is important to focus on workplace learning environments and the individual characteristics of those participating in workplace learning. The literature has suggested various factors that influence adults' and professionals’ workplace learning of profession-related skills, but lacks empirical studies on contextual and individual-related factors that positively affect students' workplace learning. Workers with vocational education form a large group in modern firms. Therefore, elements of vocational students’ successful workplace learning during their studies, before starting their career paths, need to be examined. To fill this gap in the literature, this dissertation examines contributors to vocational students’ workplace learning in Finland, where students’ workplace learning is included in the vocational education and training system. The study is divided into two parts: the introduction, comprised of the overview of the relevant literature and the conclusion of the entire study, and five separate articles. Three of the articles utilize quantitative methods and two use qualitative methods to examine factors that contribute to vocational students’ workplace learning. The results show that, from the students’ perspective, attitudinal, motivational, and organizationrelated factors enhance the student’s development of professionalism during the on-the-job learning period. Specifically, the organization-related factors such as innovative climate, guidance, and interactions with seniors have a strong positive impact on the students’ perceived development of professional skills because, for example, the seniors’ guidance and provision of new viewpoints for the tasks helps the vocational students to gain autonomy at work performance. A multilevel analysis shows that of those factors enhancing workplace learning from the student perspective, innovative climate, knowledge transfer accuracy, and the students’ performance orientation were significantly related to the workplace instructors’ assessment regarding the students’ professional performance. Furthermore, support from senior colleagues and the students’ self-efficacy were both significantly associated with the formal grades measuring how well the students managed to learn necessary professional skills. In addition, the results suggest that the students’ on-the-job learning can be divided into three main phases, of which two require efforts from both the student and the on-the-job learning organization. The first phase includes the student’s application of basic professional skills, demonstration of potential in performing daily tasks, and orientation provided by the organization at the beginning of the on-the-job learning period. In the second phase, the student actively develops profession-related skills by performing daily tasks, thus learning a fluent working style while observing the seniors’ performance. The organization offers relevant tasks and follows the student’s development. The third level indicates a student who has reached the professional level described as a full occupation. The results suggest that constructing the vocational students’ successful on-the-job learning period requires feedback from seniors, opportunities to learn to manage entire work processes, self-efficacy on the part of the students, proactive behavior, and initiative in learning. The study contributes to research on workplace learning in three ways: firstly, it identifies the key individual- and organization-based factors that influence the vocational students’ successful on-the-job learning from their perspective and examines mutual relationships between these factors. Second, the study provides knowledge of how the factors related to the students’ view of successful workplace learning are associated with the workplace instructors’ perspective and the formal grades. Third, the present study finds elements needed to construct a successful on-the-job learning for the students.

University students’ regulation of learning and text processing – examples from medical and teacher education

The general aim of the thesis was to study university students’ learning from the perspective of regulation of learning and text processing. The data were collected from the two academic disciplines of medical and teacher education, which share the features of highly scheduled study, a multidisciplinary character, a complex relationship between theory and practice and a professional nature. Contemporary information society poses new challenges for learning, as it is not possible to learn all the information needed in a profession during a study programme. Therefore, it is increasingly important to learn how to think and learn independently, how to recognise gaps in and update one’s knowledge and how to deal with the huge amount of constantly changing information. In other words, it is critical to regulate one’s learning and to process text effectively. The thesis comprises five sub-studies that employed cross-sectional, longitudinal and experimental designs and multiple methods, from surveys to eye tracking. Study I examined the connections between students’ study orientations and the ways they regulate their learning. In total, 410 second-, fourth- and sixth-year medical students from two Finnish medical schools participated in the study by completing a questionnaire measuring both general study orientations and regulation strategies. The students were generally deeply oriented towards their studies. However, they regulated their studying externally. Several interesting and theoretically reasonable connections between the variables were found. For instance, self-regulation was positively correlated with deep orientation and achievement orientation and was negatively correlated with non-commitment. However, external regulation was likewise positively correlated with deep orientation and achievement orientation but also with surface orientation and systematic orientation. It is argued that external regulation might function as an effective coping strategy in the cognitively loaded medical curriculum. Study II focused on medical students’ regulation of learning and their conceptions of the learning environment in an innovative medical course where traditional lectures were combined wth problem-based learning (PBL) group work. First-year medical and dental students (N = 153) completed a questionnaire assessing their regulation strategies of learning and views about the PBL group work. The results indicated that external regulation and self-regulation of the learning content were the most typical regulation strategies among the participants. In line with previous studies, self-regulation wasconnected with study success. Strictly organised PBL sessions were not considered as useful as lectures, although the students’ views of the teacher/tutor and the group were mainly positive. Therefore, developers of teaching methods are challenged to think of new solutions that facilitate reflection of one’s learning and that improve the development of self-regulation. In Study III, a person-centred approach to studying regulation strategies was employed, in contrast to the traditional variable-centred approach used in Study I and Study II. The aim of Study III was to identify different regulation strategy profiles among medical students (N = 162) across time and to examine to what extent these profiles predict study success in preclinical studies. Four regulation strategy profiles were identified, and connections with study success were found. Students with the lowest self-regulation and with an increasing lack of regulation performed worse than the other groups. As the person-centred approach enables us to individualise students with diverse regulation patterns, it could be used in supporting student learning and in facilitating the early diagnosis of learning difficulties. In Study IV, 91 student teachers participated in a pre-test/post-test design where they answered open-ended questions about a complex science concept both before and after reading either a traditional, expository science text or a refutational text that prompted the reader to change his/her beliefs according to scientific beliefs about the phenomenon. The student teachers completed a questionnaire concerning their regulation and processing strategies. The results showed that the students’ understanding improved after text reading intervention and that refutational text promoted understanding better than the traditional text. Additionally, regulation and processing strategies were found to be connected with understanding the science phenomenon. A weak trend showed that weaker learners would benefit more from the refutational text. It seems that learners with effective learning strategies are able to pick out the relevant content regardless of the text type, whereas weaker learners might benefit from refutational parts that contrast the most typical misconceptions with scientific views. The purpose of Study V was to use eye tracking to determine how third-year medical studets (n = 39) and internal medicine residents (n = 13) read and solve patient case texts. The results revealed differences between medical students and residents in processing patient case texts; compared to the students, the residents were more accurate in their diagnoses and processed the texts significantly faster and with a lower number of fixations. Different reading patterns were also found. The observed differences between medical students and residents in processing patient case texts could be used in medical education to model expert reasoning and to teach how a good medical text should be constructed. The main findings of the thesis indicate that even among very selected student populations, such as high-achieving medical students or student teachers, there seems to be a lot of variation in regulation strategies of learning and text processing. As these learning strategies are related to successful studying, students enter educational programmes with rather different chances of managing and achieving success. Further, the ways of engaging in learning seldom centre on a single strategy or approach; rather, students seem to combine several strategies to a certain degree. Sometimes, it can be a matter of perspective of which way of learning can be considered best; therefore, the reality of studying in higher education is often more complicated than the simplistic view of self-regulation as a good quality and external regulation as a harmful quality. The beginning of university studies may be stressful for many, as the gap between high school and university studies is huge and those strategies that were adequate during high school might not work as well in higher education. Therefore, it is important to map students’ learning strategies and to encourage them to engage in using high-quality learning strategies from the beginning. Instead of separate courses on learning skills, the integration of these skills into course contents should be considered. Furthermore, learning complex scientific phenomena could be facilitated by paying attention to high-quality learning materials and texts and other support from the learning environment also in the university. Eye tracking seems to have great potential in evaluating performance and growing diagnostic expertise in text processing, although more research using texts as stimulus is needed. Both medical and teacher education programmes and the professions themselves are challenging in terms of their multidisciplinary nature and increasing amounts of information and therefore require good lifelong learning skills during the study period and later in work life.

Verkko-oppimateriaalien uudelleenkäytettävyys ja siirrettävyys oppimisalustalta toiselle

Työssä tarkastellaan oppimisalustoilla käytettäviä testikysymyksiä ja oppisisältöjä uudelleen-käytettävyyden ja siirrettävyyden näkökulmasta. Tavoitteena on selvittää, minkälaisia välineitä määrämuotoisten sisältöjen tuottamista varten on olemassa, ja miten niillä luodut materiaalit ovat siirrettävissä työvälineestä toiseen ja oppimisalustoille. Tutkittavana ovat sisällön paketointiin tarkoitetutSCORM- ja IMS Content Packaging -spesifikaatiot sekä kysymysten esittämiseen tarkoitettu IMS Question and Test Interoperability -spesifikaatio. Pääpaino työssäon selvittää, miten oppisisällöt ovat siirrettävissä WebCT- ja Moodle-alustojenvälillä. Tähän liittyen on luotu ohjeistus, miten yksittäiset tiedostot, kysymykset ja Sisältökokonaisuus-työkalulla koostetut sisällöt siirretään WebCT:ltä Moodleen.

Sähköisten reseptien hallinta

Sähköinen reseptijärjestelmä nykyisessä muodossaan sai alkunsa Sosiaali- ja terveysministeriön aloitteesta ja Kansaneläkelaitoksen toimesta vuoden 2001 aikana. Käytössä oleva kansallinen reseptipalvelin mahdollistaa potilaiden oikeudet muun muassa apteekin vapaaseen valintaan ja lääkkeiden suorakorvausmenetelmään. Sähköinen resepti pyritään integroimaan olemassa olevien potilasrekisterijärjestelmien yhteyteen, joten semanttisen webin tuomat teknologiat kuten Web-palvelut ja XML-pohjaiset kielet ovat tärkeässä asemassa reseptien hallinnassa. Tässä työssä pyritään esittämään sähköisen reseptijärjestelmän toimintaa ja sen mahdollistavia jo olemassa olevia tekniikoita. Esille tuodaan myös uusia lisäarvoa tuovia tekniikoita, kuten RDF(S)-kuvauskielet, jotka mahdollistavat muun muassa resepteihin kohdistuvat kyselyt ja täten uudet terveyspalvelut sekä potilaille että lääkäreille. Oleellista on tietenkin myös tietoturva, sillä organisaatioiden välillä resepteissä liikkuu arkaluontoisia tietoja. Turvallisuutta pyritään edistämään muun muassa sähköisillä allekirjoituksilla ja älykorttien avulla tapahtuvalla järjestelmään tunnistautumisella. Jotta sähköinen resepti toimisi tulevaisuudessakin halutulla tavalla ja mahdollistaisi lisäarvopalveluita, on siinä panostettava sisällön lisäksi senkuvaamiseen. Sisällön ja sen suhteiden tarkka määrittely auttaa muun muassa reseptikyselyjen tekemisessä, mikä onkin olennainen osa potilasturvallisuuden ylläpitoa. Kuvauskielien ja ontologioiden käyttö voi myös auttaa lääkehoidon määrittämisessä useiden erilaisten ja jatkuvasti lisääntyvien lääkkeiden viidakossa, kun lääkkeitä voidaan etsiä tietokannoista reseptin kirjoituksen yhteydessä.

Sähköisen hankintatyökalun kehittäminen ja käyttöönotto. Case: Inex Partners Oy

Internetin yleistyminen on luonut uudenlaiset puitteet yritysten väliselle sähköiselle kaupankäynnille. Vanhat EDI-pohjaiset järjestelmät koetaan kalliiksi ja sitoviksi ja niiden sijasta rakennetaan www-teknologiaan pohjautuvia järjestelmiä. Tämän pro gradu-tutkielman tarkoituksena oli kuvata mahdollisimman tarkkaan erään web-pohjaisen hankintatyökalun kehittämis- ja käyttöönottoprojekti sekä arvioida sen onnistumista sekä käyttöönoton vaikutuksia. Case yrityksenä tutkielmassa toimii valikoima- ja logistiikkayhtiö Inex Partners Oy. Tutkielma on luonteeltaan toimintatutkimus, sillä tutkija on osa tutkimuskohdetta. Työn teoriaosassa käsitellään hankintatoimen strategiaa toimittajien valinnan ja toimittajasuhteiden hallinnan näkökulmasta. Tämän jälkeen esitellään sähköistä kaupankäyntiä ja sen hankintatoimelle tarjoamia sovelluksia. Kehitysprojektin tuotoksena syntyi sähköinen SRM-toimittajaportaali, joka mahdollistaa tarjouspyyntöjen lähettämisen ja vastaanottamisen Inexin ja tavarantoimittajien välillä. Portaali on integroitu Inexin toiminnanohjausjärjestelmään (ERP) siten, että tarjouspyyntöjen perusteella muodostuneet ostotilaukset siirtyvät järjestelmästä toiseen. Tutkielman johtopäätöksinä esitetään, että läpikäyty kehitysprojekti oli lähtökohtaisesti oikeintoteutettu ja yrityksen strategian mukainen. Tuotoksena saadun toimittajaportaalin istuvuutta tuoteryhmän hankintastrategiaan ei kuitenkaan oltu otettu tarpeeksi huomioon. Teknisen toteutuksen monimutkaisuus asettaa myös haasteensa työkalun käytölle. Jatkokehitystarpeiksi puolestaan esitetään portaalin räätälöimistä Inexin muiden tuoteryhmien hankinnan tueksi sekä portaalin huutokauppa- toiminnallisuuden kehittämistä ja käyttöönotttoa.

Dynamic Model of a Small Once-Through Boiler

In this study, a model for the unsteady dynamic behaviour of a once-through counter flow boiler that uses an organic working fluid is presented. The boiler is a compact waste-heat boiler without a furnace and it has a preheater, a vaporiser and a superheater. The relative lengths of the boiler parts vary with the operating conditions since they are all parts of a single tube. The present research is a part of a study on the unsteady dynamics of an organic Rankine cycle power plant and it will be a part of a dynamic process model. The boiler model is presented using a selected example case that uses toluene as the process fluid and flue gas from natural gas combustion as the heat source. The dynamic behaviour of the boiler means transition from the steady initial state towards another steady state that corresponds to the changed process conditions. The solution method chosen was to find such a pressure of the process fluid that the mass of the process fluid in the boiler equals the mass calculated using the mass flows into and out of the boiler during a time step, using the finite difference method. A special method of fast calculation of the thermal properties has been used, because most of the calculation time is spent in calculating the fluid properties. The boiler was divided into elements. The values of the thermodynamic properties and mass flows were calculated in the nodes that connect the elements. Dynamic behaviour was limited to the process fluid and tube wall, and the heat source was regarded as to be steady. The elements that connect the preheater to thevaporiser and the vaporiser to the superheater were treated in a special way that takes into account a flexible change from one part to the other. The model consists of the calculation of the steady state initial distribution of the variables in the nodes, and the calculation of these nodal values in a dynamic state. The initial state of the boiler was received from a steady process model that isnot a part of the boiler model. The known boundary values that may vary during the dynamic calculation were the inlet temperature and mass flow rates of both the heat source and the process fluid. A brief examination of the oscillation around a steady state, the so-called Ledinegg instability, was done. This examination showed that the pressure drop in the boiler is a third degree polynomial of the mass flow rate, and the stability criterion is a second degree polynomial of the enthalpy change in the preheater. The numerical examination showed that oscillations did not exist in the example case. The dynamic boiler model was analysed for linear and step changes of the entering fluid temperatures and flow rates.The problem for verifying the correctness of the achieved results was that there was no possibility o compare them with measurements. This is why the only way was to determine whether the obtained results were intuitively reasonable and the results changed logically when the boundary conditions were changed. The numerical stability was checked in a test run in which there was no change in input values. The differences compared with the initial values were so small that the effects of numerical oscillations were negligible. The heat source side tests showed that the model gives results that are logical in the directions of the changes, and the order of magnitude of the timescale of changes is also as expected. The results of the tests on the process fluid side showed that the model gives reasonable results both on the temperature changes that cause small alterations in the process state and on mass flow rate changes causing very great alterations. The test runs showed that the dynamic model has no problems in calculating cases in which temperature of the entering heat source suddenly goes below that of the tube wall or the process fluid.