Tietojohtamista tukevan toiminnanohjausjärjestelmän vaatimuksia erityistoimialalla: tapaustutkimus eläinterveydenhuollon toimialalla

Veterinary Health Services are following in many areas the practices and medical direction of human medicine and health services. They are reaching for improved efficiency, quality and precision. Competitive position may be improved and productivity increased by specializing and focusing efforts at the practice. This thesis focuses in small animal practices and their needs for ERP (Enterprise Resource Planning) systems in Germany. As a result requirements for ERP solution supporting knowledge management in the small animal practice is presented. Veterinary Health Services is knowledge-intensive business, where written information and tacit knowledge is increasingly bound together with deepening expertise and specialization. Veterinarian is even legally obliged to develop and maintain her professional skills. The current ERP solutions concentrate in the treatment process of veterinary practice. Customer relationship management is left aside. As the competitive situation is getting tighter in veterinary services also the customer relationship management needs to get into the focus and interest to the wider network support in knowledge sharing should take steps forward. Taking into account the requirement of continuous development of professional skills ERP system at the veterinary practice should also be seen as knowledge management tool. It should provide the possibility to create, store, share and use knowledge. The study is conducted first by studying the AS-IS situation of ERP use and market in veterinary health services and then drawing the requirements of TO-BE situation by studying literature and the results of semi qualitative study conducted for German veterinary practices. A group of veterinarians were interviewed, market and network analysis was done and the understanding of market was deepened in two veterinary conferences in Germany. This theses work is requested by Finnish software company Finnish Net Solutions, which is the leading supplier of Veterinary Practice Management software in Finland. The company plans to expand to European market with Cloud based service. Target of the theses is to create understanding of the requirements of German veterinary market to develop ERP solution supporting Knowledge Management in Veterinary Practice.

The Forecast Performance of Model-Free Implied Volatility: Evidence from DAX Index Options

Volatility has a central role in various theoretical and practical applications in financial markets. These include the applications related to portfolio theory, derivatives pricing and financial risk management. Both theoretical and practical applications require good estimates and forecasts for the asset return volatility. The goal of this study is to examine the forecast performance of one of the more recent volatility measures, model-free implied volatility. Model-free implied volatility is extracted from the prices in the option markets, and it aims to provide an unbiased estimate for the market’s expectation on the future level of volatility. Since it is extracted from the option prices, model-free implied volatility should contain all the relevant information that the market participants have. Moreover, model-free implied volatility requires less restrictive assumptions than the commonly used Black-Scholes implied volatility, which means that it should be less biased estimate for the market’s expectations. Therefore, it should also be a better forecast for the future volatility. The forecast performance of model-free implied volatility is evaluated by comparing it to the forecast performance of Black-Scholes implied volatility and GARCH(1,1) forecast. Weekly forecasts for six years period were calculated for the forecasted variable, German stock market index DAX. The data consisted of price observations for DAX index options. The forecast performance was measured using econometric methods, which aimed to capture the biasedness, accuracy and the information content of the forecasts. The results of the study suggest that the forecast performance of model-free implied volatility is superior to forecast performance of GARCH(1,1) forecast. However, the results also suggest that the forecast performance of model-free implied volatility is not as good as the forecast performance of Black-Scholes implied volatility, which is against the hypotheses based on theory. The results of this study are consistent with the majority of prior research on the subject.

Streptococcus agalactiae (GBS) PNA FISH -tekniikan soveltuminen B-ryhmän streptokokin tunnistukseen

B-ryhmän beetahemolyyttinen streptokokki (GBS = Group B Streptococcus, Streptococcus agalactiae)aiheuttaa vakavia infektioita yleensä astasyntyneillä. Tartunta saadaan yleensä synnytyskanavasta ja riskitekijöinä ovat muun muassa keskosuus, ennenaikainen lapsivedenmeno ja äidin runsas Bstreptokokkikolonisaatio emättimessä. Bakteerin tunnistukseen käytetään tällä hetkellä viljelytekniikkaa, jonka tulos saadaan vasta 24-48 tunnin kuluttua. Opinnäytetyöni tarkoituksena on tutkia uutta ja nopeampaa tunnistusmenetelmää: GBS PNA FISH - tekniikkaa (Peptide Nucleic Acid Fluorescence in Situ Hybridization). Tarkoituksena on tutkia tekniikan spesifiteettiä ja sensitiviteettiä. Tekniikan spesifiteettiä tutkitaan B-ryhmän beetahemolyyttisellä streptokokilla sekä kuudella muulla emättimen normaaliflooraan kuuluvalla bakteerilajilla. Yhteensä bakteerikantoja on tutkimuksessa mukana 48 kappaletta. Tämän lisäksi tutkitaan myös tekniikan sensitiviteettiä, jota tutkitaan bakteereista tehdyn laimennossarjan avulla. Sensitiviteetti tutkitaan bakteeriseoksesta, jonne on B-ryhmän beetahemolyyttisen streptokokin lisäksi lisätty muita emättimen normaaliflooran bakteereita. Lisäksi sensitiviteetti tutkitaan pelkällä B-ryhmän beetahemolyyttisellä streptokokilla käyttäen sekä normaalia että bakteerin rikastusmenetelmää. Testeistä saadut tulokset tulkitaan fluoresenssimikroskoopin avulla. GBS PNA FISH -tekniikan spesifiteetti todettiin erittäin hyväksi. Tekniikka tunnisti kaikki B-ryhmän beetahemolyyttiset streptokokit positiivisiksi ja kaikki muut lajit antoivat negatiivisen tuloksen. B-streptokokin positiivisuus oli erotettavissa mikroskopoitaessa vahvana fluoresointina, kun taas muut lajit eivät fluoresoineet lainkaan. GBS PNA FISH -tekniikan sensitiivisyyden tulokset eivät kuitenkaan täyttäneet odotuksia. Ainoastaan bakteerin rikastusmenetelmällä saadut tulokset olivat loistavia, mutta bakteeriseoksella ja pelkällä B-ryhmän beetahemolyyttisellä streptokokilla saadut tulokset olivat lähes olemattomia. Rikastusmenetelmän kaikki laimennokset fluoresoivat positiivisina, kun taas muissa tapauksissa vain vahvin liuos antoi jonkinlaista positiivista fluoresointia. GBS PNA FISH -tekniikan spesifiteetti todettiin hyväksi. Tekniikan sensitiviteetti ei kuitenkaan vastaa käyttötarkoitusta ja todellisessa tilanteessa tekniikka ei pystyisi tunnistamaan sille spesifistä bakteeria muiden bakteerien joukosta.

Testing for granger-causality in the Finnish roundwood market

Summary

Logistic services as competitive means : segmenting the retail market for softwood lumber

Abstract

Land use response to agricultural policy and market movements on Finnish dairy-farms

Selostus: Tuki- ja hintamuutosten vaikutus maitotilojen pellon käyttöön

Whole sales market for fresh potato in Finland

Selostus: Suomen ruokaperunamarkkinoiden toimivuus