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.

Henkilörekisterit markkinatutkimusalan yrityksessä

Nykyisessä informaatioyhteiskunnassa henkilötiedotkin muuttuvat tuotteiksi, jotka alkavat elää omaa elämäänsä ja joilla käydään kauppaa. Toisaalta taas yksityisyyden arvostuskin on kasvussa. Tämän tutkimuksen tavoitteena on teoriassa selvittää millä tavalla henkilötietojen käsittelyä säännellään Suomessa. Empiirisen osan tavoitteena on tutkia kuinka sääntelyn eri kohdat on huomioitu markkinatutkimusalan yrityksessä. Tutkimusote on vertaileva, normatiivinen ja empiirinen. Henkilötietolaki on kehittynyt Suomessa kolmen vuosikymmenen aikana merkittävästi. Nykyisin voidaan puhua myös laajemmin tietosuojalainsäädännöstä, joka sisältää henkilötietolain lisäksi muitakin lakeja mm. sähköisen viestinnän tietosuojalain. Markkinatutkimusalalla merkittävässä roolissa ovat alan käytännesäännöt, joiden avulla lainsäädäntöä pyritään tekemään helpommin omaksuttavaksi. Lainsäädännön toteutuminen ja toimivuus riippuu siitä, kuinka hyvin rekisterinpitäjät ja rekisteröidyt ymmärtävät lainsäädännön tavoitteet. Kummankin osapuolen tietoisuuteen tulisi kiinnittää yhä enemmän huomiota. Rekisterinpitäjän velvollisuuksien noudattaminen on pitkälti kiinni heidän omasta aktiivisuudestaan ja lainkuuliaisuudestaan, koska lainsäädännön valvonnassakin on puutteita. Markkinatutkimusalalla henkilötietolain noudattaminen otetaan vakavasti. Alaltaei ole löydettävissä yhtään oikeustapausta eikä myöskään tietosuojavaltuutetun lausuntoja tai kannanottoja. Alalla, jossa henkilötietoja käsitellään paljon, on tärkeää, että ihmiset luottavat siihen, että tutkimukset eivät riko heidän yksityisyyttään tarpeettomasti. Lainsäädäntö ei rajoita markkinatutkimustoimintaa. Henkilötietolainsäädäntö antaa henkilötietojen käsittelylle markkinatutkimustoiminnassa hyvän viitekehyksen, jossa yrityksen on helppo toimia.

Transparent Network Interfaces to Mobile Peer-to-Peer Environment

The fact that most of new Personal Data Assistant (PDA) devices and smartphones have the ability to communicate via different wireless technologies has made several new applications possible. While traditional network model is based on the idea of static hosts, mobile devices can create decentralized, self-organizing ad-hoc networks and act as peers in the network. This kind of adapting network is suitable for mobile devices which can freely join and leave the networks. Because several different wireless communication technologies are involved, flexible changing of the networking technology must be handled in order to enable seamless communication between these networks. This thesis presents a transparent network interface to mobile Peer-to-Peer environment which is named as Virtual PeerHood. Different wireless technologies and aspects of providing a seamless connectivity between these technologies are explored. The result is a middleware platform for mobile Peer-to-Peer environment, capable of handling several networking technologies.

Päämääriä, ajelehtimista, tietämättömyyttä, etsintää: Koulutusvalinnat, opinnot ja koulutuksen vaihtaminen yliopisto-opiskelijoiden kokemana 2000 -luvun taitteessa

Tutkimuksessa tarkastellaan yliopisto-opiskelua, opintojen kokemista ja niiden kulkua alkaen koulutusvalinnoista. Lisäksi tutkimuksessa pyritään ymmärtämään ja kuvaamaan yliopisto-opintojen aikaista koulutuksen vaihtamista prosessina. Kyseessä on seurantatutkimus Turun yliopistossa vuonna 1998 aloittaneesta opiskelijakohortista. Tutkittavat opiskelijat valittiin sillä perusteella, että he vastasivat kolmeen opintoja koskevaan kyselyyn ja olivat vähintään kolmen vuoden ajan läsnä olevina opiskelijoina. Opiskelijat (n=440) jaettiin neljään vertailuryhmään: 1) opintoihinsa tyytyväiset, 2) ensimmäisen vuoden jälkeen koulutusta vaihtaneet, 3) toisen vuoden jälkeen koulutusta vaihtaneet ja 4) koulutusta vaihtaa halunneet. Tutkimusaineisto koostuu kolmesta kyselystä, opintorekisteriaineistosta ja koulutusta opintojen aikana vaihtaneiden opiskelijoiden haastatteluista (n=22). Kyselyt tehtiin ensimmäisen, toisen ja kolmannen opintovuoden kevätlukukausilla ja haastattelut vuonna 2002, jolloin opiskelijat opiskelivat Turun yliopistossa neljättä tai viidettä vuotta. Kyselyiden avulla tutkittiin eroavatko koulutusta vaihtaneet opiskelijat muista opiskelijoista rakenteellisilta tekijöiltään tai opintokokemuksissaan. Opintorekisteriaineiston perusteella tutkittiin eroavatko koulutusta vaihtaneet opiskelijat koulutuksessa pysyneistä opiskelijoista opintojen kulussa. Kyselyiden ja haastatteluiden avulla tutkittiin minkälaisia tietoja ja odotuksia opiskelijoilla oli yliopisto-opiskelusta ollut ennen opintojen aloittamista. Haastatteluiden perusteella tutkittiin mitä syitä koulutuksen vaihtamisen taustalla oli ja minkälaisina kertomuksina koulutuksen vaihtamisprosessi näyttäytyi. Koulutusta vaihtaneet opiskelijat erosivat koulutuksessa pysyneistä opiskelijoista aiemman koulutuksen määrän, iän ja perheellisyyden suhteen. Verrattaessa ensimmäisen ja toisen vuoden jälkeen koulutusta vaihtaneita opiskelijoita keskenään havaittiin näillä ryhmillä olevan erilainen perhetausta. Koulutusta valittaessa tärkein tekijä oli kiinnostus alaa kohtaan. Toiseksi voimakkain hakutekijä oli muilla paitsi ensimmäisen vuoden jälkeen koulutusta vaihtaneilla valmiudet haluttuun ammattiin. Vuorostaan ensimmäisen vuoden jälkeen koulutusta vaihtaneilla toiseksi tärkein tekijä hakeutumisessa oli helppo sisäänpääsy opintoihin. Suurin osa opiskelijoista oli päässyt ensisijaisesti haluamaansa koulutukseen. Koulutusta myöhemmin vaihtaneissa ryhmissä ja koulutuksen vaihtoa halunneiden ryhmässä ensisijaisesti haluttuun koulutukseen päässeitä oli alle puolet. Odotukset opiskelusta eivät täysin täyttyneet ensimmäisen puolen vuoden opiskelun aikana. Tutkittujen ryhmien välillä havaittiin eroja kokemuksissa koulutuksen sopivuudesta itselle. Koulutuksen vaihtaminen oli myönteinen kokemus, ja uusi koulutus koettiin aiempaa koulutusta sopivammaksi itselle. Kolmannen vuoden kevätlukukaudella omaa koulutusta kohtaan koettu kiinnostus oli voimakasta muissa ryhmissä paitsi koulutuksen vaihtoa halunneissa. Harvimmin positiivisia tunteita opiskelua kohtaan kokivat vaihtoa halunneet opiskelijat. Koulutuksen vaihtaminen vähensi opintoihin kiinnittymättömyyttä. Koulutuksen vaihtoa halunneiden kokemukset nykyisen koulutuksensa ilmapiiristä olivat negatiivisimpia. Koulutuksen vaihtaminen vaikutti myönteisesti myös opetuksen kokemiseen. Opinnot etenivät kaikissa tutkituissa ryhmissä tasaisesti. Koulutuksen vaihtamisen jälkeisenä vuonna opinnot etenivät vaihtaneissa ryhmissä keskimääräistä enemmän. Haastatteluiden mukaan pääasiallisia syitä koulutuksen vaihtamiselle olivat päätyminen toissijaiseen koulutukseen ja pettyminen aloittamaansa koulutukseen. Narratiivien analyysin avulla tutkimuksessa löydettiin neljä erilaista tarinaa vaihtamisprosessista: 1) toissijaisesta koulutuksesta ensisijaiseen koulutukseen vaihtaminen, 2) ensisijaiseen koulutukseen pettyminen, 3) kiinnostavampaan koulutukseen ajautuminen ja 4) oman alan löytyminen etsinnän kautta. Vaikka koulutuspolitiikassa koulutuksen vaihtaminen nähdään ongelmana, oli se tämän tutkimuksen mukaan opiskelijalle myönteinen kokemus. Tämän tutkimuksen perusteella tulisikin kiinnittää huomiota opiskelijoihin, jotka haluaisivat vaihtaa koulutuksesta toiseen. Heillä opintojen eteneminen osoittautui hitaimmaksi ja opintokokemukset negatiivisimmiksi. Koulutusta vaihtaneiden opiskelijoiden opintojen eteneminen näytti hitaalta verrattuna opintoihinsa tyytyväisiin opiskelijoihin. Koulutuksen vaihtamisen jälkeen opintojen eteneminen kuitenkin nopeutui ja opintotyytyväisyys lisääntyi.

Scanning the future of Single Euro Payment Area – towards cashless payment methods

The future of paying in the age of digitalization is a topic that includes varied visions. This master’s thesis explores images of the future of paying in the Single Euro Payment Area (SEPA) up to 2020 and 2025 through the views of experts specialized in paying. This study was commissioned by a credit management company in order to obtain more detailed information about the future of paying. Specifically, this thesis investigates what could be the most used payment methods in the future, what items could work as a medium of exchange in 2020 and how will they evolve towards the year 2025. Changing consumer behavior, trends connected to payment methods, security and private issues of new cashless payment methods were also part of this study. In the empirical part of the study the experts’ ideas about probable and preferable future images of paying were investigated through a two-round Disaggregative Delphi method. The questionnaire included numeric statements and open questions. Three alternative future images were created with the help of cluster analysis: “Unsurprising Future”, “Technology Driven Future” and “The Age of the Customer”. The plausible images had similarities and differences, which were reflected to the previous studies in the literature review. The study’s findings were formed based on the images of futures’ similarities and to the open questions answers that were received from the questionnaire. The main conclusion of the study was that development of technology will unify and diversify SEPA; the trend in 2020 seems to be towards more cashless payment methods but their usage depends on the countries’ financial possibilities and customer preferences. Mobile payments, cards and cash will be the main payment methods but the banks will have competitors from outside the financial sector. Wearable payment methods and NFC technology are seen as widely growing trends but subcutaneous payment devices will likely keep their niche position until 2025. In the meantime, security and private issues are seen to increase because of identity thefts and various frauds. Simultaneously, privacy will lose its meaning to younger consumers who are used to sharing their transaction and personal data with third parties in order to get access to attractive services. Easier access to consumers’ transaction data will probably open the door for hackers and cause new risks in paying processes. There exist many roads to future, and this study was not an attempt to give any complete answers about it even if some plausible assumptions about the future’s course were provided.

Collecting valuable consumer data: Motivating consumers to disclose personal information

Collecting and analyzing consumer data is essential in today’s data-driven business environment. However, consumers are becoming more aware of the value of the information they can provide to companies, thereby being more reluctant to share it for free. Therefore, companies need to find ways to motivate consumers to disclose personal information. The main research question of the study was formed as “How can companies motivate consumers to disclose personal information?” and it was further divided into two subquestions: 1) What types of benefits motivate consumers to disclose personal information? 2) How does the disclosure context affect the consumers’ information disclosure behavior? The conceptual framework consisted of a classification of extrinsic and intrinsic benefits, and moderating factors, which were recognized on the basis of prior research in the field. The study was conducted by using qualitative research methods. The primary data was collected by interviewing ten representatives from eight companies. The data was analyzed and reported according to predetermined themes. The findings of the study confirm that consumers can be motivated to disclose personal information by offering different types of extrinsic (monetary saving, time saving, self-enhancement, and social adjustment) and intrinsic (novelty, pleasure, and altruism) benefits. However, not all the benefits are equally useful ways to convince the customer to disclose information. Moreover, different factors in the disclosure context can either alleviate or increase the effectiveness of the benefits and the consumers’ motivation to disclose personal information. Such factors include the consumer’s privacy concerns, perceived trust towards the company, the relevancy of the requested information, personalization, website elements (especially security, usability, and aesthetics of a website), and the consumer’s shopping motivation. This study has several contributions. It is essential that companies recognize the most attractive benefits regarding their business and their customers, and that they understand how the disclosure context affects the consumer’s information disclosure behavior. The likelihood of information disclosure can be increased, for example, by offering benefits that meet the consumers’ needs and preferences, improving the relevancy of the asked information, stating the reasons for data collection, creating and maintaining a trustworthy image of the company, and enhancing the quality of the company’s website.

Personal Liberty in Psychiatric Care - Towards Service User Involvement

This study explores personal liberty in psychiatric care from a service user involvement perspective. The data were collected in four phases during the period 2000-2006 in psychiatric settings in Finland. Firstly, patient satisfaction and factors associated with user involvement were studied (n = 313). Secondly, patients’ experiences of deprivation of their liberty were explored (n = 51). Thirdly, an overview on patients’ options for lodging complaints was conducted, and all complaints (n = 4645) lodged in Finland from 2000 to 2004 were examined. Fourthly, the effects of different patient education methods on inpatients’ experiences of deprivation of liberty were tested (n = 311). It emerged that patients were quite satisfied, but reported dissatisfaction in restrictions, compulsory care and information dissemination. Patients experienced restrictions on leaving the ward and on communication, confiscation of property and coercive measures as deprivation of liberty. Patients’ experienced these interventions to be negative. In Finland, the patient complaint process is complicated and not easily accessible. In general, patient complaints increased considerably in Finland during the study period. In psychiatric care the number of complaints was quite stable and complaints led more seldom to consequences. An Internet-based patient education system was equivalent with traditional education and treatment as usual in supporting personal liberty during hospital care. This dissertation provides new information about the realization of patients' rights in psychiatric care. In order to improve patients' involvement, systematic methods to increase personal liberty during care need to be developed, the procedures for patients lodging complaints should be simplified, and patients' access to information needs to be ensured using multiple methods.

Product Data Managemet as a Key Success Factor in After Sales Business

The objective of this master’s thesis is to define Larox´s Product Data present state and future development needs from after sales point of view. In particular the object was to investigate after sales needs, which data related to products need to be managed by using Product Data Management. Empirical material of thesis was collected mainly through interviews, benchmark visits, and personal experience. Among the interviewees were internal stakeholders who are closely related to the product process, as well as external stakeholders. Interviews revealed that each stakeholder group has deviating needs for product data management and that at present all the needs are not met to take the best possible way. The main requirement was availability of up-to-date information, which plays a key role in after sales business. At the end of study is concentrated to find development targets at Larox, especially from after sales point of view. In addition, consideration of how the product data management advantages can utilized in making internal processes more efficient. Development needs are collected together as project descriptions, whose headings are shown at the end of the study.

Salesperson's customer orientation in the personal selling process and in the use of personal selling techniques in the business-to-business setting

Selling is much maligned, often under-valued subject whose inadequate showing in business schools is in inverse proportion to the many job opportunities it offers and the importance of salespeople bringing incomes to companies. The purpose of this research is to increase the understanding of customer-oriented selling and examine the influence of customer-oriented philosophy on selling process, the applicability of selling techniques to this philosophy and the importance of them to salespeople. The empirical section of the study is two-fold. Firstly, the data of qualitative part was collected by conducting five thematic interviews among sales consultants and case company representatives. The findings of the study indicate that customer-oriented selling requires the activity of salespeople. In the customer-oriented personal selling process, salespeople invest time in the preplanning, the need analysis and the benefit demonstration stages. However, the findings propose that salespeople today must also have the basic capabilities for executing the traditional sales process, and the balance between traditional and consultative selling process will change as the duration of the relationship between the salesperson and customer increases. The study also proposes that selling techniques still belong to the customer-oriented selling process, although their roles might be modest. This thesis mapped 75 selling techniques and the quantitative part of the study explored what selling techniques are considered to be important by salespeople in direct selling industry when they make sales with new and existing customers. Response rate of the survey was 69.5%.

Evaluating multidimensional visualization techniques in data mining tasks

Visual data mining (VDM) tools employ information visualization techniques in order to represent large amounts of high-dimensional data graphically and to involve the user in exploring data at different levels of detail. The users are looking for outliers, patterns and models – in the form of clusters, classes, trends, and relationships – in different categories of data, i.e., financial, business information, etc. The focus of this thesis is the evaluation of multidimensional visualization techniques, especially from the business user’s perspective. We address three research problems. The first problem is the evaluation of projection-based visualizations with respect to their effectiveness in preserving the original distances between data points and the clustering structure of the data. In this respect, we propose the use of existing clustering validity measures. We illustrate their usefulness in evaluating five visualization techniques: Principal Components Analysis (PCA), Sammon’s Mapping, Self-Organizing Map (SOM), Radial Coordinate Visualization and Star Coordinates. The second problem is concerned with evaluating different visualization techniques as to their effectiveness in visual data mining of business data. For this purpose, we propose an inquiry evaluation technique and conduct the evaluation of nine visualization techniques. The visualizations under evaluation are Multiple Line Graphs, Permutation Matrix, Survey Plot, Scatter Plot Matrix, Parallel Coordinates, Treemap, PCA, Sammon’s Mapping and the SOM. The third problem is the evaluation of quality of use of VDM tools. We provide a conceptual framework for evaluating the quality of use of VDM tools and apply it to the evaluation of the SOM. In the evaluation, we use an inquiry technique for which we developed a questionnaire based on the proposed framework. The contributions of the thesis consist of three new evaluation techniques and the results obtained by applying these evaluation techniques. The thesis provides a systematic approach to evaluation of various visualization techniques. In this respect, first, we performed and described the evaluations in a systematic way, highlighting the evaluation activities, and their inputs and outputs. Secondly, we integrated the evaluation studies in the broad framework of usability evaluation. The results of the evaluations are intended to help developers and researchers of visualization systems to select appropriate visualization techniques in specific situations. The results of the evaluations also contribute to the understanding of the strengths and limitations of the visualization techniques evaluated and further to the improvement of these techniques.

High-Throughput Screening for Novel Prostate Cancer Drug Targets –Getting Personal

Prostate cancers form a heterogeneous group of diseases and there is a need for novel biomarkers, and for more efficient and targeted methods of treatment. In this thesis, the potential of microarray data, RNA interference (RNAi) and compound screens were utilized in order to identify novel biomarkers, drug targets and drugs for future personalized prostate cancer therapeutics. First, a bioinformatic mRNA expression analysis covering 9873 human tissue and cell samples, including 349 prostate cancer and 147 normal prostate samples, was used to distinguish in silico prevalidated putative prostate cancer biomarkers and drug targets. Second, RNAi based high-throughput (HT) functional profiling of 295 prostate and prostate cancer tissue specific genes was performed in cultured prostate cancer cells. Third, a HT compound screen approach using a library of 4910 drugs and drug-like molecules was exploited to identify potential drugs inhibiting prostate cancer cell growth. Nine candidate drug targets, with biomarker potential, and one cancer selective compound were validated in vitro and in vivo. In addition to androgen receptor (AR) signaling, endoplasmic reticulum (ER) function, arachidonic acid (AA) pathway, redox homeostasis and mitosis were identified as vital processes in prostate cancer cells. ERG oncogene positive cancer cells exhibited sensitivity to induction of oxidative and ER stress, whereas advanced and castrate-resistant prostate cancer (CRPC) could be potentially targeted through AR signaling and mitosis. In conclusion, this thesis illustrates the power of systems biological data analysis in the discovery of potential vulnerabilities present in prostate cancer cells, as well as novel options for personalized cancer management.

Developing customer need based services in personal security service industry

The purpose of this thesis is to examine how services can be developed and how the voice of the customer can be incorporated to the strategic planning of services. Furthermore, the objective is to investigate the methods of customer need analysis and service bundling. The data is collected from secondary and primary sources by reviewing the existing academic literature and by conducting in-depth interviews and surveys. The main findings of this research indicate that the service development in personal security service industry should be conducted through a formalized process and the process should begin with setting the strategic objectives. Moreover, the voice of the customer should be incorporated into all stages of the development process, especially into the front-end of the process. Furthermore, the information on customer needs should be gathered in a manner tailored for the purposes of service development.

Statistical analysis of survey-based event history data with application to modeling of unemployment duration

Longitudinal surveys are increasingly used to collect event history data on person-specific processes such as transitions between labour market states. Surveybased event history data pose a number of challenges for statistical analysis. These challenges include survey errors due to sampling, non-response, attrition and measurement. This study deals with non-response, attrition and measurement errors in event history data and the bias caused by them in event history analysis. The study also discusses some choices faced by a researcher using longitudinal survey data for event history analysis and demonstrates their effects. These choices include, whether a design-based or a model-based approach is taken, which subset of data to use and, if a design-based approach is taken, which weights to use. The study takes advantage of the possibility to use combined longitudinal survey register data. The Finnish subset of European Community Household Panel (FI ECHP) survey for waves 1–5 were linked at person-level with longitudinal register data. Unemployment spells were used as study variables of interest. Lastly, a simulation study was conducted in order to assess the statistical properties of the Inverse Probability of Censoring Weighting (IPCW) method in a survey data context. The study shows how combined longitudinal survey register data can be used to analyse and compare the non-response and attrition processes, test the missingness mechanism type and estimate the size of bias due to non-response and attrition. In our empirical analysis, initial non-response turned out to be a more important source of bias than attrition. Reported unemployment spells were subject to seam effects, omissions, and, to a lesser extent, overreporting. The use of proxy interviews tended to cause spell omissions. An often-ignored phenomenon classification error in reported spell outcomes, was also found in the data. Neither the Missing At Random (MAR) assumption about non-response and attrition mechanisms, nor the classical assumptions about measurement errors, turned out to be valid. Both measurement errors in spell durations and spell outcomes were found to cause bias in estimates from event history models. Low measurement accuracy affected the estimates of baseline hazard most. The design-based estimates based on data from respondents to all waves of interest and weighted by the last wave weights displayed the largest bias. Using all the available data, including the spells by attriters until the time of attrition, helped to reduce attrition bias. Lastly, the simulation study showed that the IPCW correction to design weights reduces bias due to dependent censoring in design-based Kaplan-Meier and Cox proportional hazard model estimators. The study discusses implications of the results for survey organisations collecting event history data, researchers using surveys for event history analysis, and researchers who develop methods to correct for non-sampling biases in event history data.

On Bayesian predictive modeling : with applications on the analysis of chromatography data in forensic investigations

Med prediktion avses att man skattar det framtida värdet på en observerbar storhet. Kännetecknande för det bayesianska paradigmet är att osäkerhet gällande okända storheter uttrycks i form av sannolikheter. En bayesiansk prediktiv modell är således en sannolikhetsfördelning över de möjliga värden som en observerbar, men ännu inte observerad storhet kan anta. I de artiklar som ingår i avhandlingen utvecklas metoder, vilka bl.a. tillämpas i analys av kromatografiska data i brottsutredningar. Med undantag för den första artikeln, bygger samtliga metoder på bayesiansk prediktiv modellering. I artiklarna betraktas i huvudsak tre olika typer av problem relaterade till kromatografiska data: kvantifiering, parvis matchning och klustring. I den första artikeln utvecklas en icke-parametrisk modell för mätfel av kromatografiska analyser av alkoholhalt i blodet. I den andra artikeln utvecklas en prediktiv inferensmetod för jämförelse av två stickprov. Metoden tillämpas i den tredje artik eln för jämförelse av oljeprover i syfte att kunna identifiera den förorenande källan i samband med oljeutsläpp. I den fjärde artikeln härleds en prediktiv modell för klustring av data av blandad diskret och kontinuerlig typ, vilken bl.a. tillämpas i klassificering av amfetaminprover med avseende på produktionsomgångar.

Gamification as a means for employee motivation, personal engagement and behavioral outcomes: a gamification system developers’ perspective

A major challenge faced by companies today is the engagement gap at the workplace and how to motivate employees to engage in less intrinsically motivating work activities that are valuable for the organization. The objective of this study is to investigate gamification as a means for employee motivation and personal engagement that result in behavioral outcomes from the gamification developers’ perspective. Theories of work motivation and engagement are viewed in relation to gamification. The empirical part conducts a qualitative multiple-case study. The data is analyzed with the CAQDAS NVivo. The empirical findings suggest that gamification can enhance employee motivation, but careful consideration of extrinsic motivators is necessary to avoid their detrimental effect on intrinsic motivation. Employee self-determination is built through internalization of gamified system’s goals reaching autonomous motivation to engage in the target behavior. Employee engagement is built by fulfilling the psychological conditions of meaningfulness, safety and availability. The results suggest that gamification can build employee motivation and engagement leading to behavior change if designed with the business objectives in mind. Moreover, the gamified system needs to be renewed to address the changes in the business environment and reflect them in the employee behavior.