20 Ways to Reuse Repository Metadata

Poster at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

Development of remote monitoring process tools for biomass fired bubbling fluidized bed boilers

Remote monitoring of a power boiler allows the supplying company to make sure that equipment is used as supposed to and gives a good chance for process optimization. This improves co-operation between the supplier and the customer and creates an aura of trust that helps securing future contracts. Remote monitoring is already in use with recovery boilers but the goal is to expand especially to biomass-fired BFB-boilers. To make remote monitoring possible, data has to be measured reliably on site and the link between the power plant and supplying company’s server has to work reliably. Data can be gathered either with the supplier’s sensors or with measurements originally installed in the power plant if the plant in question is not originally built by the supplying company. Main goal in remote monitoring is process optimization and avoiding unnecessary accidents. This can be achieved for instance by following the efficiency curves and fouling in different parts of the process and comparing them to past values. The final amount of calculations depends on the amount of data gathered. Sudden changes in efficiency or fouling require further notice and in such a case it’s important that dialogue toward the power plant in question also works.

Linguistic models for decision support

Linguistic modelling is a rather new branch of mathematics that is still undergoing rapid development. It is closely related to fuzzy set theory and fuzzy logic, but knowledge and experience from other fields of mathematics, as well as other fields of science including linguistics and behavioral sciences, is also necessary to build appropriate mathematical models. This topic has received considerable attention as it provides tools for mathematical representation of the most common means of human communication - natural language. Adding a natural language level to mathematical models can provide an interface between the mathematical representation of the modelled system and the user of the model - one that is sufficiently easy to use and understand, but yet conveys all the information necessary to avoid misinterpretations. It is, however, not a trivial task and the link between the linguistic and computational level of such models has to be established and maintained properly during the whole modelling process. In this thesis, we focus on the relationship between the linguistic and the mathematical level of decision support models. We discuss several important issues concerning the mathematical representation of meaning of linguistic expressions, their transformation into the language of mathematics and the retranslation of mathematical outputs back into natural language. In the first part of the thesis, our view of the linguistic modelling for decision support is presented and the main guidelines for building linguistic models for real-life decision support that are the basis of our modeling methodology are outlined. From the theoretical point of view, the issues of representation of meaning of linguistic terms, computations with these representations and the retranslation process back into the linguistic level (linguistic approximation) are studied in this part of the thesis. We focus on the reasonability of operations with the meanings of linguistic terms, the correspondence of the linguistic and mathematical level of the models and on proper presentation of appropriate outputs. We also discuss several issues concerning the ethical aspects of decision support - particularly the loss of meaning due to the transformation of mathematical outputs into natural language and the issue or responsibility for the final decisions. In the second part several case studies of real-life problems are presented. These provide background and necessary context and motivation for the mathematical results and models presented in this part. A linguistic decision support model for disaster management is presented here – formulated as a fuzzy linear programming problem and a heuristic solution to it is proposed. Uncertainty of outputs, expert knowledge concerning disaster response practice and the necessity of obtaining outputs that are easy to interpret (and available in very short time) are reflected in the design of the model. Saaty’s analytic hierarchy process (AHP) is considered in two case studies - first in the context of the evaluation of works of art, where a weak consistency condition is introduced and an adaptation of AHP for large matrices of preference intensities is presented. The second AHP case-study deals with the fuzzified version of AHP and its use for evaluation purposes – particularly the integration of peer-review into the evaluation of R&D outputs is considered. In the context of HR management, we present a fuzzy rule based evaluation model (academic faculty evaluation is considered) constructed to provide outputs that do not require linguistic approximation and are easily transformed into graphical information. This is achieved by designing a specific form of fuzzy inference. Finally the last case study is from the area of humanities - psychological diagnostics is considered and a linguistic fuzzy model for the interpretation of outputs of multidimensional questionnaires is suggested. The issue of the quality of data in mathematical classification models is also studied here. A modification of the receiver operating characteristics (ROC) method is presented to reflect variable quality of data instances in the validation set during classifier performance assessment. Twelve publications on which the author participated are appended as a third part of this thesis. These summarize the mathematical results and provide a closer insight into the issues of the practicalapplications that are considered in the second part of the thesis.

Suomalaisen pienpanimon kansainvälistymismahdollisuudet Ruotsissa

Työn tavoitteena on kartoittaa suomalaisen pienpanimon kansainvälistymismahdollisuuksia valitulla kohdemarkkina-alueella, hankkia kattavasti informaatiota kansainvälistymiseen vaadittavista asioista, sekä arvioida toimeksiantajayrityksen valmiuksia kansainvälistymiseen. Tarkoituksena on näiden asioiden perusteella muodostaa suomalaiselle pienpanimolle sopiva kansainvälistymispolku, valita operaatiomuoto kohdemarkkinoilla toimimiseksi sekä hahmotella jo ensimmäiset askeleet kansainvälisen toiminnan aloittamiseksi. Kansainvälistyminen on kokonaisvaltainen oppimis- ja muutosprosessi, jonka tuloksena yritys laajentaa omaa toimintaansa kansainvälisille markkinoille. Pienpanimolle kansainvälistyminen asettaa haasteita etenkin resurssien rajallisuuteen liittyen, mutta resursseja voidaan kehittää ja lisätä yritysten välisen verkostoitumisen ja muiden organisaatioiden avulla. Tietämyksen kasvattaminen ja verkostoaseman parantaminen syventää yrityksen kansainvälistä toimintaa ja vie kansainvälistymisprosessia eteenpäin. Suomalaisen pienpanimon kansainvälistymisessä avainasemaan nousee oikean yhteistyökumppanin löytäminen. Huolellinen valmistautuminen parantaa mahdollisuuksia onnistua, mutta kansainvälistymistä voi myös harjoitella ja samalla verkostoitua kohdemarkkinoilla hyödyntämällä pienpanimoille tyypillisiä kansainvälisiä yhteistyömuotoja.

Critical success factors for improving societal effectiveness of transport sector's R&D

This study investigates societal effectiveness of transport sector’s Research & Development (R&D) operations. In this study effectiveness refers to organization’s capability to produce the intended and desired impacts through its operations. The aim of this study is to identify the motives for evaluating societal effectiveness and recognize the critical success factors for improving effectiveness. The theoretical framework focuses first in the policy context of effectiveness evaluation in public sector and secondly the framework introduces the concept and process of effectiveness evaluation. The empirical part is carried out as a case study, which investigates societal effectiveness of Finnish Transport Agency’s (FTA’s) R&D. The aim is to recognize FTA’s critical success factors for improving R&D operations’ societal effectiveness. Based on these factors, the organization is able to define indicators for measuring effectiveness in the future operations. In this study societal effectiveness is investigated from R&D purchasers’ and R&D end- users’ points of views according to Purchaser-Provider-model. The results indicate that societal effectiveness evaluation is important part of R&D operations, but the implementation of the evaluation as part of daily operations is challenging. Because of limited resources, the organization is forced to strong priorization and therefore R&D tasks are secondary after the operational tasks. Based on the results the critical success factors can be recognized as resources and priorization, clear strategy and objectives, internal communications, cooperation between public and private sector and R&D implementation and dissemination.

Consumer Behavior in Mortgage Market: Evidence from Russia

The purpose of this master thesis is to identify behavioral patterns of potential borrower in mortgage market in crisis conditions and to link mortgage products available on Russian market with potential borrowers segments in dependence of detected patterns. Empirical results achieved through 172 answers of potential borrowers allowed to classify them in four groups in dependence of respondent perceptions about mortgage and future. On the basis of literature review and currently state of Russian mortgage market particular mortgage products were suggested to each of four clusters of potential borrowers. Then, recommendations for Russian banks how to apply received results were developed. Current master thesis has strong both academic and managerial contributions. It it adds significant value to existing consumer behavior studies; and provides practical recommendations for Russian banks how to understand mortgage borrower behavior in order to increase trust to mortgage among population.

Integrating corporate responsbility into investor relations. Sustainability report as a part of investor relations.

Corporate responsibility is a question that many stakeholders are interested in. These stakeholders can be e.g. company’s employees, partners, clients, media or investors. Especially for listed companies, investors are one of the most important stakeholders. It is essential for a company to maintain the trust of current investors and gain the trust of potential investors. Investors cannot be divided only into two groups, individual and institutional investors. Investors differ a lot, especially when it comes to investment decisions. Investors can make their investment decisions based on many things, and strong financial performance is not necessarily good enough a reason. Socially responsible investors value responsibility and sustainability related factors when making investment decisions. These things can be divided into three dimensions: environmental, social and economic responsibility. Many companies disclose a sustainability report in order to be able to answer to the needs of different stakeholders, including investors. The purpose of this thesis was to study how companies integrate corporate responsibility into investor relations, and how sustainability report can be used in investor relations. Furthermore, this thesis examined the key elements of sustainability reports. The research was made by a qualitative study in two phases. In the first phase five representatives of two Finnish listed companies, KONE and Kesko were interviewed. The interviewees are professionals within investor relations and corporate responsibility communications. In the second phase of the study the sustainability reports of these two companies were analyzed with content analysis. The existing theory and the interviews created the base for the content analysis. This study suggests that there is a connection between corporate responsibility and investor relations, and those should be integrated. Socially responsible investors are an important target group for companies, and companies should be able to respond to their and other stakeholders’ needs. Sustainability report can be used as a tool both within the company and in external communication for these purposes.