3 resultados para CANCER CURRENT STATUS

em Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland


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Työn lähtökohtana on vuonna 2009 case-yksikölle luotu stage-gate-malli, jonka ymmärtäminen ja käyttö ei ole ollut toivotulla tasolla. Asenteet ja perehdytys tämän mallin käyttöön ovat aiheuttaneet sen, että osa yksikön henkilöstöstä ei tunnista mallin käyttöä omassa työssään, vaikka sitä käytetään jokaisessa tuotekehitysprojektissa. Työn tavoitteena on kuvata case-yksikön stage-gate-mallin etenemistä selkeämmin, jotta se saataisiin tehokkaammin käyttöön koko henkilöstölle, sekä tutkia ovatko eri toimintojen roolitukset mallin mukaan optimaaliset. Tavoitteena on myös tutkia kuinka tiedon tulisi kulkea toimintojen välillä, jotta se olisi mahdollisimman tehokasta. Työtä varten on kerätty kirjallisuusmateriaalia teorian pohjustamiseksi ja haastateltu 14 yksikön toimihenkilöä nykyisten ongelmakohtien kartoittamiseksi. Lisäksi työhön liittyen tehtiin benchmark-haastattelu mahdollisimman lähellä case-yksikön liiketoimintaa olevasta saman yrityksen yksiköstä. Yksikölle luodun stage-gate-mallin tuntemus oli haastattelujen perusteella suhteellisen heikolla tasolla. Vain noin puolet tunnisti sen jokapäiväisessä työskentelyssään. Ongelmakohtia mallin käyttämiseen liittyen ilmeni paljon ja niistä iso osa kohdistui myyntiin, markkinointiin sekä projektipäällikön toimintaan. Havaittujen ongelmien perusteella yksikön roolituksista tehtiin selventävä kaavio, jotta jokaisen on helpompi hahmottaa prosessia. Lisäksi henkilöstön osallistamiseen ja tiedonjakamiseen annettiin kehitysehdotuksia. Näin ollen koko henkilöstö saadaan ymmärtämään mallin vaiheet ja tärkeimpänä, ymmärtämään oman roolinsa kussakin stage-gate-mallin vaiheessa.

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Data mining, as a heatedly discussed term, has been studied in various fields. Its possibilities in refining the decision-making process, realizing potential patterns and creating valuable knowledge have won attention of scholars and practitioners. However, there are less studies intending to combine data mining and libraries where data generation occurs all the time. Therefore, this thesis plans to fill such a gap. Meanwhile, potential opportunities created by data mining are explored to enhance one of the most important elements of libraries: reference service. In order to thoroughly demonstrate the feasibility and applicability of data mining, literature is reviewed to establish a critical understanding of data mining in libraries and attain the current status of library reference service. The result of the literature review indicates that free online data resources other than data generated on social media are rarely considered to be applied in current library data mining mandates. Therefore, the result of the literature review motivates the presented study to utilize online free resources. Furthermore, the natural match between data mining and libraries is established. The natural match is explained by emphasizing the data richness reality and considering data mining as one kind of knowledge, an easy choice for libraries, and a wise method to overcome reference service challenges. The natural match, especially the aspect that data mining could be helpful for library reference service, lays the main theoretical foundation for the empirical work in this study. Turku Main Library was selected as the case to answer the research question: whether data mining is feasible and applicable for reference service improvement. In this case, the daily visit from 2009 to 2015 in Turku Main Library is considered as the resource for data mining. In addition, corresponding weather conditions are collected from Weather Underground, which is totally free online. Before officially being analyzed, the collected dataset is cleansed and preprocessed in order to ensure the quality of data mining. Multiple regression analysis is employed to mine the final dataset. Hourly visits are the independent variable and weather conditions, Discomfort Index and seven days in a week are dependent variables. In the end, four models in different seasons are established to predict visiting situations in each season. Patterns are realized in different seasons and implications are created based on the discovered patterns. In addition, library-climate points are generated by a clustering method, which simplifies the process for librarians using weather data to forecast library visiting situation. Then the data mining result is interpreted from the perspective of improving reference service. After this data mining work, the result of the case study is presented to librarians so as to collect professional opinions regarding the possibility of employing data mining to improve reference services. In the end, positive opinions are collected, which implies that it is feasible to utilizing data mining as a tool to enhance library reference service.

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The purpose of this research is to discover development points for business processes and sales reporting in the recovered paper sourcing organization. The processes under development are both sales and sourcing processes that were determined by the commissioning company. All of these processes have in common that there are used sales orders to organize the money flows correctly. Although the main objective is to source only recovered paper, the sourcing also brings by-products that cannot be utilized and are thus sold. As the purpose of the sales function is to only support the sourcing strategy, it should be organized as efficiently as possible. Investigating the current status of the processes and finding development points help in building proposals for enhanced process descriptions. In order that sales function could be analyzed, should the sales reporting be accurate and present the needed key figures. The current status of the processes as well as the possible problems and development ideas were researched with the help of interviews. Best practices could also be brought from other business lines in the commissioning company. The theory part was build according to relevant literature and scientific articles. The research indicates, that processes have shaped differently in sourcing organization’s business units. Local infrastructure and legislation sets certain limitations to the sourcing of recovered paper, and these circumstances cannot be changed. Customer-supplier power relations also affect to the formulation of business processes. In order to steer the processes, there has to be more internal controls. Still, the enterprise resource planning system also sets boundaries how the processes can be made more efficient.