Tutkijan rooli muistitietoetnografiassa

Ajankohtaista: Lectio praecursoria Itä-Suomen yliopistossa 23.1.2010.

Hoitajatar laulaa

Soitinnus: lauluääni, piano.

Nuorten laulukirja

Soitinnus: lauluääni, piano.

Gondoolilaulu

Soitinnus: lauluääni, piano.

Gondoolilaulu

Soitinnus: lauluääni, piano.

Metaanin muodostumisen mallintaminen kaatopaikalla

Methane-rich landfill gas is generated when biodegradable organic wastes disposed of in landfills decompose under anaerobic conditions. Methane is a significant greenhouse gas, and landfills are its major source in Finland. Methane production in landfill depends on many factors such as the composition of waste and landfill conditions, and it can vary a lot temporally and spatially. Methane generation from waste can be estimated with various models. In this thesis three spreadsheet applications, a reaction equation and a triangular model for estimating the gas generation were introduced. The spreadsheet models introduced are IPCC Waste Model (2006), Metaanilaskentamalli by Jouko Petäjä of Finnish Environment Institute and LandGEM (3.02) of U.S. Environmental Protection Agency. All these are based on the first order decay (FOD) method. Gas recovery methods and gas emission measurements were also examined. Vertical wells and horizontal trenches are the most commonly used gas collection systems. Emission measurements chamber method, tracer method, soil core and isotope measurements, micrometeorological mass-balance and eddy covariance methods and gas measuring FID-technology were discussed. Methane production at Ämmässuo landfill of HSY Helsinki Region Environmental Services Authority was estimated with methane generation models and the results were compared with the volumes of collected gas. All spreadsheet models underestimated the methane generation at some point. LandGEM with default parameters and Metaanilaskentamalli with modified parameters corresponded best with the gas recovery numbers. Reason for the differences between evaluated and collected volumes could be e.g. that the parameter values of the degradable organic carbon (DOC) and the fraction of decomposable degradable organic carbon (DOCf) do not represent the real values well enough. Notable uncertainty is associated with the modelling results and model parameters. However, no simple explanation for the discovered differences can be given within this thesis.

Liiketoimintatiedon hallinta asiantuntijaorganisaatiossa

Diplomityön tavoitteena oli tutkia liiketoimintatiedon hallintaa asiantuntijaorganisaation näkökulmasta. Tutkimuksen pääkysymyksenä oli, millainen on lisäarvoa tuottava asiantuntijaorganisaation liiketoimintatiedon hallintajärjestelmä. Tutkimuksessa rakennettiin kirjallisuuden perusteella asiantuntijaorganisaatioille sovellettu viitekehys liiketoimintatiedon hallintaan. Viitekehyksessä huomioitiin asiantuntijaorganisaatioille tyypillisten ominaispiirteiden vaikutukset liiketoimintatiedon hallintaprosessin eri vaiheisiin. Esitetty viitekehys antaa käyttökelpoisen lähtökohdan asiantuntijaorganisaatioiden liiketoimintatiedon hallinnan suunnittelulle. Diplomityön empiirisessä osassa rakennettiin liiketoimintatiedon hallintajärjestelmä Lappeenrannan teknillisen yliopiston Koulutus ja kehittymiskeskukselle. Järjestelmän rakentaminen tapahtui esitetyn viitekehyksen mukaisesti. Asiantuntijaorganisaatiolle lisäarvoa tuottava liiketoimintatiedon hallintajärjestelmä huomioi asiantuntijaorganisaation ominaispiirteiden tuomat tiedon hallinnan haasteet ja järjestelmän käyttöympäristön sekä hyödyntää asiantuntijaorganisaatioiden vahvuudet verkostoituneena tiedon jalostajana.

Developing the service offering of an industrial company

The purpose of this thesis was to determine, what kind of service offering the case company should provide to its customers in the Australian market. For this, a model for analysing the competitive environment was developed. In the model, three players were considered: customers, competitors and the case company. Benchmarking was used in identifying competitors’ offerings currently available in the market. Experts inside the case company were consulted for determining the customer need. The competitors’ offerings were analysed on the basis of Pekkarinen et al.’s (2009) framework, dividing the offerings to services supporting the supplier’s product (SSP), supporting the client (SSC), supporting the client’s network (SSN), supporting mutual actions (SSM) and benefit and risk sharing elements. After this, they were compared to the competitive environment in order to identify areas where the case company can differentiate itself from its competitors in the Australian market. On the basis of the company’s key success factors, and the Finnish service concept currently in use, some additional offerings were suggested for the case company in order to further outperform its competitors in the market. Finally, on the basis of the suggested offerings and competitors’ offerings, a service concept was suggested for the case company to introduce in the Australian market.