Päijät – Hämeen kuntien teknisen toimialan varautuminen tulevaisuuden työvoimapulaan innovatiivisten hankintojen ja yhteistyön avulla

Tämän diplomityön tavoite on tuottaa Päijät-Hämeen kuntien tekniselle toimelle ajatuksia ja ehdotuksia, joilla voidaan vastata lähestyvän työvoimapulan mukana tuleviin ongelmiin. Työn taustalla on neljä teoriaa, joiden avulla asiaa lähestytään. Pääteoria on New Public Management johtamisteoria, jota on käytetty julkisen sektorin tuottavuuden ja tehokkuuden kehittämisessä ympäri maailmaa jo yli kah denkymmenen vuoden ajan. Muut työssä käytetyt teoriat liittyvät innovatiivisuu teen, verkostoitumiseen ja henkilöstön rekrytointiin. Tämän työn teoriaosuus lin kitetään käytäntöön haastattelututkimuksen ja Paras - hankkeen raporttien avulla. Tämän tutkimuksen empiirisessä osassa asioita käsitellään puhtaasti kuntien teknisen sektorin kuuden päätoimialan mukaisesti. Päätoimialat ovat kaavoitus, mit taus, liikennealueet, ympäristönsuojelu, rakennusvalvonta ja toimitilat. Tutkimus tuloksista selviää, että tulevaisuuden kehittämismandollisuudet liittyvät pääosin yhteistyön lisäämiseen ja verkottumiseen. Käytetty teoria tukee johtopäätöksiä, joita tutkimuksen perusteella on tehty. Tutkimuksen lopuksi on annettu suosituksia ja ehdotuksia Päijät-Hämeen kuntien teknisen toimen kehittämistä varten.

GIS assessing traditional and modern agricultural land use/land cover change. A case study 1959-2005: Rekijoki, Somero, SW-Finland

Finland’s rural landscape has gone through remarkable changes from the 1950’s, due to agricultural developments. Changed farming practices have influenced especially traditional landscape management, and modifications in the arable land structure and grasslands transitions are notable. The review of the previous studies reveal the importance of the rural landscape composition and structure to species and landscape diversity, whereas including the relevance in presence of the open ditches, size of the field and meadow patches, topology of the natural and agricultural landscape. This land-change study includes applying remote sensed data from two time series and empirical geospatial analysis in Geographic Information Systems (GIS). The aims of this retrospective research is to detect agricultural landscape use and land cover change (LULCC) dynamics and discuss the consequences of agricultural intensification to landscape structure covering from the aspects of landscape ecology. Measurements of LULC are derived directly from pre-processed aerial images by a variety of analytical procedures, including statistical methods and image interpretation. The methodological challenges are confronted in the process of landscape classification and combining change detection approaches with landscape indices. Particular importance is paid on detecting agricultural landscape features at a small scale, demanding comprehensive understanding of such agroecosystems. Topological properties of the classified arable land and valley are determined in order to provide insight and emphasize the aspect the field edges in the agricultural landscape as important habitat. Change detection dynamics are presented with change matrix and additional calculations of gain, loss, swap, net change, change rate and tendencies are made. Transition’s possibility is computed following Markov’s probability model and presented with matrix, as well. Thesis’s spatial aspect is revealed with illustrative maps providing knowledge of location of the classified landscape categories and location of the dynamics of the changes occurred. It was assured that in Rekijoki valley’s landscape, remarkable changes in landscape has occurred. Landscape diversity has been strongly influenced by modern agricultural landscape change, as NP of open ditches has decreased and the MPS of the arable plot has decreased. Overall change in the diversity of the landscape is determined with the decrease of SHDI. Valley landscape considered as traditional land use area has experienced major transitional changes, as meadows class has lost almost one third of the area due to afforestation. Also, remarkable transitions have occurred from forest to meadow and arable land to built area. Boundaries measurement between modern and traditional landscape has indicated noticeable proportional increase in arable land-forest edge type and decrease in arable land-meadow edge type. Probability calculations predict higher future changes for traditional landscape, but also for arable land turning into built area.

The environmental effectiviness of alternative agri-environmental policy reforms : theoretical and empirical analysis

Selostus: Maatalouden ympäristöpolitiikan reformien tehokkuus ravinnepäästöjen vähentämisessä - teoreettinen ja empiirinen analyysi

Development of phase retrieval algorithm and techniques for optical spectrum analysis

Coherent anti-Stokes Raman scattering is the powerful method of laser spectroscopy in which significant successes are achieved. However, the non-linear nature of CARS complicates the analysis of the received spectra. The objective of this Thesis is to develop a new phase retrieval algorithm for CARS. It utilizes the maximum entropy method and the new wavelet approach for spectroscopic background correction of a phase function. The method was developed to be easily automated and used on a large number of spectra of different substances.. The algorithm was successfully tested on experimental data.

Strategic groups and performance: an empirical analysis of strategic groups in the wind energy industry in Europe

The strategic group theory provides an intermediate level of analysis between a single company and the whole industry for identifying issues about the company's competitive position and strategic choices. Strategic groups are companies within an industry with similar strategic characteristics or competing on similar bases. Strategic choices are aligned with the firms’ resources. The purpose of this study was to identify the strategic groups in the wind energy industry in Europe, and study, whether a certain group membership results in financial performance differences. Altogether 80 European wind energy companies were included in the study, which were clustered into four strategic groups according to their age and growth rate. Each group corresponds to a different strategy. The results show that the wind energy companies can be clustered according to the chosen strategic characteristics. Strategic decisions were investigated with characteristic variables. Performance variables were used in the analysis measuring profitability, liquidity and solvency of the groups. These strategic choices of the companies did not have a significant influence on the firms’ performance. The more mature and slower growing group proved to be the most successful. However, the differences between groups were generally not statistically significant. The only statistically significant difference found was in the solvency ratio between Mature Slow and Young Rapid groups. Measured with these variables, more mature and slower growing companies performed better. Therefore, a certain strategic group membership results in performance differences.

Strategic choices and performance – an empirical analysis of largest European and North American energy companies

Energy industry has gone through major changes globally in past two decades. Liberalization of energy markets has led companies to integrate both vertically and horizontally. Growing concern on sustainable development and aims to decrease greenhouse gases in future will increase the portion of renewable energy in total energy production. Purpose of this study was to analyze using statistical methods, what impacts different strategic choices has on biggest European and North American energy companies’ performance. Results show that vertical integration, horizontal integration and use of renewable energy in production had the most impact on profitability. Increase in level of vertical integration decreased companies’ profitability, while increase in horizontal integration improved companies’ profitability. Companies that used renewable energy in production were less profitable than companies not using renewable energy.

Project and customer profitability analysis: an empirical case study

The objective of this case study is to provide a Finnish solution provider company an objective, in-depth analysis of their project based business and especially of project estimation accuracy. A project and customer profitability analysis is conducted as a complementary addition to describe profitability of the Case Company’s core division. The theoretical framework is constructed on project profitability and customer profitability analysis. Project profitability is approached starting from managing projects, continuing to project pricing process and concluding to project success. The empirical part of this study describes the Case Company’s project portfolio, and by means of quantitative analysis, the study describes how the characteristics of a project impact the project’s profitability. The findings indicate that it really makes a difference in project portfolio’s estimated and actual profitability when methods of installation and technical specifications are scrutinized. Implications on profitability are gathered into a risk assessment tool proposal.

CSR standards and financial performance in forest industry - Empirical analysis

The definition of corporate social responsibility (CSR) has been developed since 1950s but even today there is no consensus what CSR includes. The main purpose of this thesis was to find out whether financial performance is better among first adopters of CSR standards in forest industry. To support the main purpose it was critical also investigate what kind of companies adopt CSR standards. The empirical part of the thesis based on a survey which was done in 2010 to forest industry companies and financial data that was gathered from different databases from years 2003-2010. According to the research results it seems the early CSR standards adopters benefits the position of the first adopter many times. Especially cash position and solvency of early adopter companies were better than later adopters or those who did not adopt CSR standards at all. Profitability seemed to be better among CSR standards adopters but early adopters did not have significantly better position compared to later adopters. CSR standards adopters were companies that considered themselves as environmental performance pioneers and had employee oriented management.

Proactive Marketing – Concept Development and Empirical Analysis

In this thesis, proactive marketing is suggested to be a broader concept than existing research assumes. Although the concept has been mentioned in the context of competitive advantage in previous research, it has not been comprehensively described. This thesis shows that proactive marketing is more than investing in marketing communications of a company. Proactive marketing is described as a three-phased process that contains different customer value identification, creation, and delivery activities. The purpose of proactive marketing is essentially to anticipate and pursue market opportunities that bring value to the company’s stakeholders. Ultimately, proactive marketing aims at acting first on the market, shaping the markets, and thus reaching competitive advantage. The proactive marketing process is supported by the structures of an organization. Suitable structures for proactive marketing are identified in the thesis based on existing research and through an empirical analysis. Moreover, proactive marketing is related to two management theories: the dynamic capabilities framework and the empowerment of employees. A dynamic environment requires companies that pursue proactive marketing to change continuously. Dynamic capabilities are considered as tools of the management, which enable companies to create suitable conditions for the constant change. Empowerment of employees is a management practice that creates proactive behaviors in individuals. The empirical analysis is conducted in an online company operating in the rapidly changing marketplace of the Internet. Through the empirical analysis, the thesis identifies in practice how proactiveness manifests in the marketing process of a company, how organizational structures facilitate proactive marketing, and how proactive marketing is managed. The theoretical contribution of this thesis consist of defining the proactive marketing concept comprehensively and providing further research suggestions related to proactive marketing.

Customer References as Marketing Practice in Company Web sites - Content and Discourse Analysis

Työn tarkoituksena oli tutkia sisältö- ja diskurssianalyysin avulla kuinka yritykset viestivät asiakasreferenssejä verkkosivuillaan. Työssä keskityttiin tutkimaan yritysten referenssikuvausten teemoja ja diskursseja, sekä sitä kuinka referenssisuhde rakentuu diskursiivisesti referenssikuvauksissa. Tutkimukseen valittiin kolme suomalaista ICT-alan yritystä: Nokia, TietoEnator ja F-Secure. Aineisto koostuu 140:stä yritysten WWW-sivuilta kerätystä referenssikuvauksesta. Sisältöanalyysin tuloksena havaittiin, että referenssikuvaukset keskittyvät kuvaamaan yksittäisiä tuote- tai projektitoimituksia referenssiasiakkaille kyseisten asiakassuhteiden valossa. Analyysin tuloksena tunnistettiin kolme diskurssia: hyötydiskurssi, sitoutumisen diskurssi sekä teknologisen eksperttiyden diskurssi. Diskurssit paljastavat referenssikuvausten retoriset keinot ja konstruoivat referenssisuhteen ja toimittajan subjektiposition eri näkökulmista. Pääpaino referenssikuvauksissa on toimittajan ratkaisun tuomissa hyödyissä. Diskurssit tuottavat referenssisuhteesta kuvan hyötyjä tuovana ja läheisenä asiakassuhteena, joka tarjoaa väylän ulkopuolisiin kyvykkyyksiin ja teknologioihin. Toimittaja esitetään referenssikuvauksissa diskurssista riippuen hyötyjen tuojana, luotettavana partnerina sekä kokeneena eksperttinä. Referenssiasiakas sen sijaan esitetään vain yhdestä näkökulmasta stereotyyppisesti tärkeänä ja tyytyväisenä asiakkaana.

Evaluation of performance analysis software for Linux computing cluster

Tietokonejärjestelmän osien ja ohjelmistojen suorituskykymittauksista saadaan tietoa,jota voidaan käyttää suorituskyvyn parantamiseen ja laitteistohankintojen päätöksen tukena. Tässä työssä tutustutaan suorituskyvyn mittaamiseen ja mittausohjelmiin eli ns. benchmark-ohjelmistoihin. Työssä etsittiin ja arvioitiin eri tyyppisiä vapaasti saatavilla olevia benchmark-ohjelmia, jotka soveltuvat Linux-laskentaklusterin suorituskyvynanalysointiin. Benchmarkit ryhmiteltiin ja arvioitiin testaamalla niiden ominaisuuksia Linux-klusterissa. Työssä käsitellään myös mittausten tekemisen ja rinnakkaislaskennan haasteita. Benchmarkkeja löytyi moneen tarkoitukseen ja ne osoittautuivat laadultaan ja laajuudeltaan vaihteleviksi. Niitä on myös koottu ohjelmistopaketeiksi, jotta laitteiston suorituskyvystä saisi laajemman kuvan kuin mitä yhdellä ohjelmalla on mahdollista saada. Olennaista on ymmärtää nopeus, jolla dataa saadaan siirretyä prosessorille keskusmuistista, levyjärjestelmistä ja toisista laskentasolmuista. Tyypillinen benchmark-ohjelma sisältää paljon laskentaa tarvitsevan matemaattisen algoritmin, jota käytetään tieteellisissä ohjelmistoissa. Benchmarkista riippuen tulosten ymmärtäminen ja hyödyntäminen voi olla haasteellista.

Fuzzy Principal Components Analysis

Due to the large number of characteristics, there is a need to extract the most relevant characteristicsfrom the input data, so that the amount of information lost in this way is minimal, and the classification realized with the projected data set is relevant with respect to the original data. In order to achieve this feature extraction, different statistical techniques, as well as the principal components analysis (PCA) may be used. This thesis describes an extension of principal components analysis (PCA) allowing the extraction ofa finite number of relevant features from high-dimensional fuzzy data and noisy data. PCA finds linear combinations of the original measurement variables that describe the significant variation in the data. The comparisonof the two proposed methods was produced by using postoperative patient data. Experiment results demonstrate the ability of using the proposed two methods in complex data. Fuzzy PCA was used in the classificationproblem. The classification was applied by using the similarity classifier algorithm where total similarity measures weights are optimized with differential evolution algorithm. This thesis presents the comparison of the classification results based on the obtained data from the fuzzy PCA.

Methods for the analysis of two dimensional measurement data of paper web

This work is devoted to the problem of reconstructing the basis weight structure at paper web with black{box techniques. The data that is analyzed comes from a real paper machine and is collected by an o®-line scanner. The principal mathematical tool used in this work is Autoregressive Moving Average (ARMA) modelling. When coupled with the Discrete Fourier Transform (DFT), it gives a very flexible and interesting tool for analyzing properties of the paper web. Both ARMA and DFT are independently used to represent the given signal in a simplified version of our algorithm, but the final goal is to combine the two together. Ljung-Box Q-statistic lack-of-fit test combined with the Root Mean Squared Error coefficient gives a tool to separate significant signals from noise.