Simulaatiopeli menetelmänä siirtää ikääntyvien hiljaista tietoa. Case: Salon Seudun Osuuspankki

Tutkimuksen tavoitteena oli selvittää, miten simulaatiopeli soveltuu ikääntyvien työntekijöiden hiljaisen tiedon esille tuomiseen ja tiedon siirtämiseen. case - tapauksena tutkimuksessa käytettiin Salon Seudun Osuuspankissapelattua simulaatiopeliä ja tutkimustulokset perustuvat peliin osallistuneiden ko. pankin työntekijöiden näkemyksiin ja mielipiteisiin. Tutkimuksessa selvitettiin miten osallistujat kokevat simulaatiopelin tilanteena, mitkä ovat simulaatiopelin heikkoudet ja vahvuudet hiljaisen tiedon siirrossa sekä millä tavalla simulaatiopeliä tulisi käyttää siirrettäessä hiljaista tietoa. Lisäksi selvitettiin mitä hiljainen tieto pankkityössä on. Tutkimus toteutettiin teemahaastatteluin marraskuussa 2004. Tutkimuksen tuloksena selvisi, että simulaatiopeliä ei nähdä kovin käyttökelpoisena, itsenäisenä hiljaisen tiedon siirron menetelmänä. Merkittävimpinä syinä tähän on simulaatiopelin keinotekoisuus, epäaitous sekä tilanteen jännittävyys. Simulaatiopelin vahvuudeksi hiljaisen tiedon siirrossa koetaan sen erinomainen havainnollistava voima. Simulaatiopeliä voitaisiinkin kokeilla apuna hiljaisen tiedon siirrossa osana pidempää tiedon siirron prosessia.

Many valued algebraic structures as measures of comparison

This thesis studies the properties and usability of operators called t-norms, t-conorms, uninorms, as well as many valued implications and equivalences. Into these operators, weights and a generalized mean are embedded for aggregation, and they are used for comparison tasks and for this reason they are referred to as comparison measures. The thesis illustrates how these operators can be weighted with a differential evolution and aggregated with a generalized mean, and the kinds of measures of comparison that can be achieved from this procedure. New operators suitable for comparison measures are suggested. These operators are combination measures based on the use of t-norms and t-conorms, the generalized 3_-uninorm and pseudo equivalence measures based on S-type implications. The empirical part of this thesis demonstrates how these new comparison measures work in the field of classification, for example, in the classification of medical data. The second application area is from the field of sports medicine and it represents an expert system for defining an athlete's aerobic and anaerobic thresholds. The core of this thesis offers definitions for comparison measures and illustrates that there is no actual difference in the results achieved in comparison tasks, by the use of comparison measures based on distance, versus comparison measures based on many valued logical structures. The approach has been highly practical in this thesis and all usage of the measures has been validated mainly by practical testing. In general, many different types of operators suitable for comparison tasks have been presented in fuzzy logic literature and there has been little or no experimental work with these operators.

The analysis of knowledge retention mechanisms for leaving experts

The goal of this thesis is studying knowledge retention mechanisms used in cases of single experts’ leaving in the case company, analyzing the reason for the mechanisms choice and successfulness of knowledge retention process depending of that choice. The theoretical part discusses the origins of knowledge retention processes in the theoretical studies, the existing knowledge retention mechanisms and practical issues of their implementation. The empirical part of the study is designed as employees’ interview with later discussion of the findings. The empirical findings indicate the following reasons for knowledge retention mechanisms choice: type of knowledge retained, specialty of leaving experts and time and distance issues of a particular case. The following factors influenced the success of a retention process: choice of knowledge retention mechanisms, usage of combination of mechanisms and creation of knowledge retention plans. The results might be useful for those interested in factors influencing knowledge retention processes in cases of experts’ departure.