Henkilöstöstrategian prosessikuvaus strategisen johtamisen näkökulmasta

This study views personnel strategy process in strategic management perspective. The theoretical part discusses about personnel management theories and the theory of strategy process. After that the empirical part combines both theories mentioned above into a normative approach of personnel strategy process.

User-driven community-based service development

This final thesis project was carried out in the Industrial Management department of University of Applied Sciences Stadia for Forum Virium Helsinki. The purpose of this study was to answer to the question of how companies can use online customer community of co-creation in service development and what is the value gained from it. The paper combines a range of recently published theoretical works and ongoing customer community case development. The study aims to provide new information and action approaches to new service developers that may increase the success of the community building process. The paper also outlines the benefits of the use of online customer community and offers practical suggestions for maximizing the value gained from the community in service development projects. The concepts and suggestions introduced in the study appear to have notable new possibilities to the service development process but they have to be further tested empirically. This paper describes the online consumer community of co-creation to an important organizational process of innovation management suggesting that it possesses a great value to business. Online customer communities offer a potential of improving the success of new services or products enabling early, penetrable market entry and creating sustainable competitive advantage.

Toiminnan laadun parantaminen organisaation itsearvioinnilla – tutkimus Suomen puolustusvoimien tulosyksiköissä

Laajoilla kyselylomaketutkimuksilla on tutkittu organisaation itsearvioinnin käyttöönoton motiiveja, käyttöä ja käytön hyötyjä 1990-luvulla ja 2000-luvun alussa. Organisaation itsearviointia on myös tutkittu laatupalkintomallien soveltamisen yhteydessä. Kolmas tutkimussuuntaus, johon myös tämä tutkimus sisältyy, on organisaation itsearvioinnin tutkiminen erilaisissa asiayhteyksissä. Tämän tutkimuksen tarkoituksena on lisätä tietoa ja ymmärrystä organisaation itsearvioinnista ja sen vaikuttavuudesta tutkimalla, miten organisaatiota itsearvioidaan maavoimien valmiusyhtymissä ja Maasotakoulussa. Näissä neljässä paikallistutkimuksessa käytin tutkimusotteena tapaustutkimuksen mukaista tutkimusstrategiaa. Aiempien tutkimuksien tulosten perusteella tärkein yhdistävä tekijä toiminnan parantamisessa on pyrkimys kokonaisvaltaisuuteen toiminnan laadun parantamisessa ja erinomaisuuden tavoittelussa. Osin kokonaisvaltaisuuteen sisältyviä ja sitä tukevia tekijöitä ovat jatkuvan parantamisen periaatteen käyttäminen ja oppivan organisaation edellyttämien toimintaedellytyksien luominen ja niiden huomioon ottaminen toiminnassa. Edelleen yhteisenä tekijänä ovat johdon sitoutumisen ja osallistumisen vaikutukset työntekijöiden osallistumiseen ja sitoutumiseen. Teorian perusteella olen arvioinut muodostuvan kolme organisaation itsearvioinnin strategisen tason johtamiskäytäntöä, jotka ovat ”Laatupalkinnon hakeminen”, ”Toiminnan ja tulosten arviointi” sekä ”Toiminnan kypsyyden arviointi”. Tutkimuksen tulosten perusteella organisaation itsearvioinnin vaikuttavuuden merkityskokonaisuus on selitettävissä viiden teeman avulla. Koko tutkimusaineiston yhdistäväksi vaikuttavuuden teemaksi, josta myös organisaation itsearvioinnin vaiheistus saa tukea, muodostuu teema ”organisaation itsearviointi ja tulosjohtaminen”. Tämän teeman perusteella organisaation itsearvioinnin vaikuttavuus perustuu itsearvioinnin käyttämiseen sekä tulosyksikön sisäisenä että johdon strategisen tason itsearviointina osana tulosjohtamista. Samoin teema ”ollaanko samaa perhettä” löytyy jokaisesta tutkimuskohteena olleesta tulosyksiköstä. Teeman perusteella vaikuttavuus perustuu siihen, että organisaation itsearvioinnin tilaisuus koetaan sosiaalisena tapahtumana ja organisaation itsearviointi vahvistaa työntekijöiden osallistumista ja sitoutumista toiminnan laadun parantamiseen. Vaikuttavuuden teemoissa ”poistetaan kivi kengästä, ja hiertäminen loppuu siihen”, ”strateginen valinta” ja ”henkilöstön työhyvinvoinnin edistäminen” organisaation itsearvioinnin vaikuttavuus on tulosyksikkökohtainen. Organisaation itsearvioinnista haetaan vaikuttavuutta organisaation itsearvioinnista saatavien tulosten nopealla toimeenpanolla. Vaikuttavuuteen pyritään systemaattisella eri organisaation tasoilla tehtävillä toiminnan kuvauksilla, mihin liittyy laatupalkinnon hakeminen. Vaikuttavuuteen voidaan myös päästä työpistelähtöisesti henkilöstön johtamisen ja hallinnon kautta. Vaiheistettua organisaation itsearviointia voidaan käyttää osana tulosjohtamista. Muita keskeisiä tutkimustuloksia ovat organisaation itsearvioinnin välittömät ja välilliset vaikutukset. Tutkimuksen tulosten perusteella teen suositukset organisaation itsearvioinnin johtamiskäytännöistä ja organisaation itsearvioinnin vaiheistuksesta osana tulosyksikön tulosjohtamista. Kolmas suositus käsittää organisaation itsearvioinnin käytön palautejärjestelmänä.

Rajatylittävä tuloksentasaus ja konserniverojärjestelmän uudistaminen

Ylivoimaisesti tärkeimpänä liiketoiminnan organisoitumismuotona voidaan pitää konsernia. Se muodostuu useasta juridisesti itsenäisestä yhtiöstä, jotka kokoavat yhden taloudellisen ja organisatorisen kokonaisuuden. Verotuksessa eri konserniyhtiöitä kohdellaan itsenäisinä yhtiöinä ja jokaiselle konserniyhtiölle lasketaan oma verotettava tuloksensa muista konserniyhtiöistä riippumatta. Konserniin kuuluvien yhtiöiden tuloksenmuodostus saattaa kuitenkin olla epätasaista, toiset tuottavat voittoa ja toiset tappiota. Erityisenä verohaasteena kansainvälisten konsernien välillä onkin se, että eri valtioissa sijaitsevien konserniyhtiöiden tuloksentasaus on mahdollinen vain poikkeustapauksissa. Kritiikin kohteena on ollut myös Suomen konserniverojärjestelmä. Erityisiksi ongelmiksi ovat nousseet yhtiöoikeudelliset, kirjanpidolliset ja EY-oikeudelliset asiat. Yritysten kansainvälistyessä ja laajentuessa Eurooppaan erityisesti rajatylittävä konserniavustus ja tappiontasaus ovat nousseet esille. Tästä johtuen EY-tuomioistuinkin on joutunut ottamaan kantaa tällaisiin yritysjärjestelyihin.

Managing virtual project teams

The purpose of the Master’s Thesis is to study the best practices to virtual project management from the project manager’ point of view. The best practices are divided according to a five-phase virtual project life cycle model. Each phase include concrete suggestions for actions. Research’s theoretical background is wide because of the broad subject matter. In the theoretical part topics such as virtual working, virtual project management challenges are examined and some concrete actions to tackle these challenges are introduced. Thesis’ approach is constructive, where a known problem is solved piece by piece after creating a pre-understanding of the topic. Existing research work is utilized when creating a model for virtual project team management. The basis of the model comes from various best practices read from literature and from the interviews conducted on experienced virtual project managers in the case organization. As a result the model combines both previous research and the organizations empirical experience. As an output of the thesis a model for virtual project team management is developed, which can be used as a guideline by the virtual project managers in their work. The model includes actions and practices what can be used to overcome the challenges of virtual project management.

Bayesian Estimation of Noise

In mathematical modeling the estimation of the model parameters is one of the most common problems. The goal is to seek parameters that fit to the measurements as well as possible. There is always error in the measurements which implies uncertainty to the model estimates. In Bayesian statistics all the unknown quantities are presented as probability distributions. If there is knowledge about parameters beforehand, it can be formulated as a prior distribution. The Bays’ rule combines the prior and the measurements to posterior distribution. Mathematical models are typically nonlinear, to produce statistics for them requires efficient sampling algorithms. In this thesis both Metropolis-Hastings (MH), Adaptive Metropolis (AM) algorithms and Gibbs sampling are introduced. In the thesis different ways to present prior distributions are introduced. The main issue is in the measurement error estimation and how to obtain prior knowledge for variance or covariance. Variance and covariance sampling is combined with the algorithms above. The examples of the hyperprior models are applied to estimation of model parameters and error in an outlier case.

Profiles of Second Language Learners in Bilingual Education: A Comparative Study of the Characteristics of Finnish and American Students

The purpose of this comparative study is to profile second language learners by exploring the factors which have an impact on their learning. The subjects come from two different countries: one group comes from Milwaukee, US, and the other from Turku, Finland. The subjects have attended bilingual classes from elementary school to senior high school in their respective countries. In the United States, the subjects (N = 57) started in one elementary school from where they moved on to two high schools in the district. The Finnish subjects (N = 39) attended the same school from elementary to high school. The longitudinal study was conducted during 1994-2004 and combines both qualitative and quantitative research methods. A Pilot Study carried out in 1990-1991 preceded the two subsequent studies that form the core material of this research. The theoretical part of the study focuses first on language policies in the United States and Finland: special emphasis is given to the history, development and current state of bilingual education, and the factors that have affected policy-making in the provision of language instruction. Current language learning theories and models form the theoretical foundation of the research, and underpin the empirical studies. Cognitively-labeled theories are at the forefront, but sociocultural theory and the ecological approach are also accounted for. The research methods consist of questionnaires, compositions and interviews. A combination of statistical methods as well as content analysis were used in the analysis. The attitude of the bilingual learners toward L1 and L2 was generally positive: the subjects enjoyed learning through two languages and were motivated to learn both. The knowledge of L1 and parental support, along with early literacy in L1, facilitated the learning of L2. This was particularly evident in the American subject group. The American subjects’ L2 learning was affected by the attitudes of the learners to the L1 culture and its speakers. Furthermore, the negative attitudes taken by L1 speakers toward L2 speakers and the lack of opportunities to engage in activities in the L1 culture affected the American subjects’ learning of L2, English. The research showed that many American L2 learners were isolated from the L1 culture and were even afraid to use English in everyday communication situations. In light of the research results, a politically neutral linguistic environment, which the Finnish subjects inhabited, was seen to be more favorable for learning. The Finnish subjects were learning L2, English, in a neutral zone where their own attitudes and motivation dictated their learning. The role of L2 as a means of international communication in Finland, as opposed to a means of exercising linguistic power, provided a neutral atmosphere for learning English. In both the American and Finnish groups, the learning of other languages was facilitated when the learner had a good foundation in their L1, and the learning of L1 and L2 were in balance. Learning was also fostered when the learners drew positive experiences from their surroundings and were provided with opportunities to engage in activities where L2 was used.

Merchandising Strategies and Retail Performance for Seasonal Fashion Products

This study presents mathematical methods for evaluation of retail performance with special regard to product sourcing strategies. Forecast accuracy, process lead time, offshore / local sourcing mix and up front / replenishment buying mix are defined as critical success factors in connection with sourcing seasonal products with a fashion content. As success measures, this research focuses on service level, lost sales, product substitute percentage, gross margin, gross margin return on inventory and mark down rate. The accuracy of demand forecast is found to be a fundamental success factor. Forecast accuracy depends on lead time. Lead times are traditionally long and buying decisions are made seven to eight months prior to the start of the selling season. Forecast errors cause stockouts and lost sales. Some of the products bought for the selling season will not be sold and have to be marked down and sold at clearance, causing loss of gross margin. Gross margin percentage is not the best tool for evaluating sourcing decisions and in the context of this study gross margin return on inventory, which combines profitability and assets management, is used. The findings of this research suggest that there are more profitable ways of sourcing products than buying them from low cost offshore sources. Mixing up front and inseason replenishment deliveries, especially when point of sale information is used for improving forecast accuracy, results in better retail performance. Quick Response and Vendor Managed Inventory strategies yield better results than traditional up front buying from offshore even if local purchase prices are higher. Increasing the number of selling seasons, slight over buying for the season in order to

Salient Pole Synchronous Machine Modelling in an Industrial Direct Torque Controlled Drive Application

Synchronous motors are used mainly in large drives, for example in ship propulsion systems and in steel factories' rolling mills because of their high efficiency, high overload capacity and good performance in the field weakening range. This, however, requires an extremely good torque control system. A fast torque response and a torque accuracy are basic requirements for such a drive. For large power, high dynamic performance drives the commonly known principle of field oriented vector control has been used solely hitherto, but nowadays it is not the only way to implement such a drive. A new control method Direct Torque Control (DTC) has also emerged. The performance of such a high quality torque control as DTC in dynamically demanding industrial applications is mainly based on the accurate estimate of the various flux linkages' space vectors. Nowadays industrial motor control systems are real time applications with restricted calculation capacity. At the same time the control system requires a simple, fast calculable and reasonably accurate motor model. In this work a method to handle these problems in a Direct Torque Controlled (DTC) salient pole synchronous motor drive is proposed. A motor model which combines the induction law based "voltage model" and motor inductance parameters based "current model" is presented. The voltage model operates as a main model and is calculated at a very fast sampling rate (for example 40 kHz). The stator flux linkage calculated via integration from the stator voltages is corrected using the stator flux linkage computed from the current model. The current model acts as a supervisor that prevents only the motor stator flux linkage from drifting erroneous during longer time intervals. At very low speeds the role of the current model is emphasised but, nevertheless, the voltage model always stays the main model. At higher speeds the function of the current model correction is to act as a stabiliser of the control system. The current model contains a set of inductance parameters which must be known. The validation of the current model in steady state is not self evident. It depends on the accuracy of the saturated value of the inductances. Parameter measurement of the motor model where the supply inverter is used as a measurement signal generator is presented. This so called identification run can be performed prior to delivery or during drive commissioning. A derivation method for the inductance models used for the representation of the saturation effects is proposed. The performance of the electrically excited synchronous motor supplied with the DTC inverter is proven with experimental results. It is shown that it is possible to obtain a good static accuracy of the DTC's torque controller for an electrically excited synchronous motor. The dynamic response is fast and a new operation point is achieved without oscillation. The operation is stable throughout the speed range. The modelling of the magnetising inductance saturation is essential and cross saturation has to be considered as well. The effect of cross saturation is very significant. A DTC inverter can be used as a measuring equipment and the parameters needed for the motor model can be defined by the inverter itself. The main advantage is that the parameters defined are measured in similar magnetic operation conditions and no disagreement between the parameters will exist. The inductance models generated are adequate to meet the requirements of dynamically demanding drives.

Success factors of customer and supplier master data system

Especially in global enterprises, key data is fragmented in multiple Enterprise Resource Planning (ERP) systems. Thus the data is inconsistent, fragmented and redundant across the various systems. Master Data Management (MDM) is a concept, which creates cross-references between customers, suppliers and business units, and enables corporate hierarchies and structures. The overall goal for MDM is the ability to create an enterprise-wide consistent data model, which enables analyzing and reporting customer and supplier data. The goal of the study was defining the properties and success factors of a master data system. The theoretical background was based on literature and the case consisted of enterprise specific needs and demands. The theoretical part presents the concept, background, and principles of MDM and then the phases of system planning and implementation project. Case consists of background, definition of as is situation, definition of project, evaluation criterions and concludes the key results of the thesis. In the end chapter Conclusions combines common principles with the results of the case. The case part ended up dividing important factors of the system in success factors, technical requirements and business benefits. To clarify the project and find funding for the project, business benefits have to be defined and the realization has to be monitored. The thesis found out six success factors for the MDM system: Well defined business case, data management and monitoring, data models and structures defined and maintained, customer and supplier data governance, delivery and quality, commitment, and continuous communication with business. Technical requirements emerged several times during the thesis and therefore those can’t be ignored in the project. Conclusions chapter goes through these factors on a general level. The success factors and technical requirements are related to the essentials of MDM: Governance, Action and Quality. This chapter could be used as guidance in a master data management project.

The effects of social networks on work-team effectiveness

This is a study of team social networks, their antecedents and outcomes. In focusing attention on the structural configuration of the team this research contributes to a new wave of thinking concerning group social capital. The research site was a random sample of Finnish work organisations. The data consisted of 499 employees in 76 teams representing 48 different organisations. A systematic literature review and quantitative methods were used in conducting the research: the former primarily to establish the current theoretical position on the relationships among the variables and the latter to test these relationships. Social network analysis was the primary method used in identifying the social-network relations among the work-team members. The first and key contribution of this study is that it relates the structuralnetwork properties of work teams to behavioural outcomes, attitudinal outcomes and, ultimately, team performance. Moreover, it shows that addressing attitudinal outcomes is also important in terms of team performance; attitudinal outcomes (team identity) mediated the relationship between the team’s performance and its social network. The second contribution is that it examines the possible antecedents of the social structure. It is thus one response to Salancik’s (1995) call for a network theory in that it explains why certain network characteristics exist. Itdemonstrates that irrespective of whether or not a team is heterogeneous in terms of age or gender, educational diversity may protect it from centralisation. However, heterogeneity in terms of gender turned out to have a negative impact on density. Thirdly, given the observation that the benefits of (team) networks are typically theorised and modelled without reference to the nature of the relationships comprising the structure, the study directly tested whether team knowledge mediated the effects of instrumental and expressive network relationships on team performance. Furthermore, with its focus on expressive networks that link the workplace to a more informal world, which have been rather neglected in previous research, it enhances knowledge of teams andnetworks. The results indicate that knowledge sharing fully mediates the influence of complementarities between dense and fragmented instrumental network relationships, thus providing empirical validation of the implicit understanding that networks transfer knowledge. Fourthly, the study findings suggest that an optimal configuration of the work-team social-network structure combines both bridging and bonding social relationships.

Engendering Group Support Based Foresight for Capital Intensive Manufacturing Industries - Case Paper and Steel Industry Scenarios by 2018

In recent times of global turmoil, the need for uncertainty management has become ever momentous. The need for enhanced foresight especially concerns capital-intensive industries, which need to commit their resources and assets with long-term planning horizons. Scenario planning has been acknowledged to have many virtues - and limitations - concerning the mapping of the future and illustrating the alternative development paths. The present study has been initiated to address both the need of improved foresight in two capital-intensive industries, i.e. the paper and steel industries and the imperfections in the current scenario practice. The research problem has been approached by engendering a problem-solving vehicle, which combines, e.g. elements of generic scenario process, face-to-face group support methods, deductive scenario reasoning and causal mapping into a fully integrated scenario process. The process, called the SAGES scenario framework, has been empirically tested by creating alternative futures for two capital-intensive industries, i.e. the paper and steel industries. Three scenarios for each industry have been engendered together with the identification of the key megatrends, the most important foreign investment determinants, key future drivers and leading indicators for the materialisation of the scenarios. The empirical results revealed a two-fold outlook for the paper industry, while the steel industry future was seen as much more positive. The research found support for utilising group support systems in scenario and strategic planning context with some limitations. Key perceived benefits include high time-efficiency, productivity and lower resource-intensiveness. Group support also seems to enhance participant satisfaction, encourage innovative thinking and provide the users with personalised qualitative scenarios.

Tuulivoimalan generaattorin roottorin valmistuksen ja valmistuskustannusten arviointi

Diplomityössä on käsitelty tuulivoimalan generaattorin roottorin valmistusta ja magneettien kiinnitystä. Työ on osa projektia, jonka tarkoituksena on ollut tuottaa kohdeyritykselle vaihtoehtoinen tuulivoimalan generaattorin roottorirakenne. Työhön on koottu projektissa käsitellyt asiat roottorin valmistustekniikan osalta. Työssä on selvitetty kustannuksien kannalta paras vaihtoehto roottorin valmistamiseksi sisältäen kuljetukset ja magneettien kokoonpanon. Valmistusmenetelminä on vertailtu hitsausta ja valamista. Magneettien osalta tarkasteltiin uuden vaihtoehtoisen kiinnitysmenetelmän tuomia säästöjä nykyiseen ratkaisuun verrattuna. Uusien roottorien kustannuksia on verrattu nykyiseen rakenteeseen. Tutkimusmenetelminä on käytetty projektiryhmän palavereja, haastatteluja ja kirjallisuusselvityksiä. Lopputuloksena kohdeyritykselle luotiin uusi roottorikonsepti, jossa yhdistyvät edullisempi roottorin valmistus ja magneettien kiinnitys. Roottorin valmistaminen valamalla osoittautui selvästi edullisemmaksi kuin hitsaaminen levyistä. Magneettien kiinnitystä yksinkertaistettiin käyttämällä seostettuja magneetteja ja magneettikehyksiä. Roottorin konstruktiomuutoksien avulla mahdollistettiin suurempi magneettien määrä, joka mahdollistaa suuremman tehontuoton.

Strategic Development of Electricity Distribution Networks – Concept and Methods

Strategic development of distribution networks plays a key role in the asset management in electricity distribution companies. Owing to the capital-intensive nature of the field and longspan operations of companies, the significance of a strategy is emphasised. A well-devised strategy combines awareness of challenges posed by the operating environment and the future targets of the distribution company. Economic regulation, ageing infrastructure, scarcity of resources and tightening supply requirements with challenges created by the climate change put a pressure on the strategy work. On the other hand, technology development related to network automation and underground cabling assists in answering these challenges. This dissertation aims at developing process knowledge and establishing a methodological framework by which key issues related to network development can be addressed. Moreover, the work develops tools by which the effects of changes in the operating environment on the distribution business can be analysed in the strategy work. To this end, the work discusses certain characteristics of the distribution business and describes the strategy process at a principle level. Further, the work defines the subtasks in the strategy process and presents the key elements in the strategy work and long-term network planning. The work delineates the factors having either a direct or indirect effect on strategic planning and development needs in the networks; in particular, outage costs constitute an important part of the economic regulation of the distribution business, reliability being thus a key driver in network planning. The dissertation describes the methodology and tools applied to cost and reliability analyses in the strategy work. The work focuses on determination of the techno-economic feasibility of different network development technologies; these feasibility surveys are linked to the economic regulation model of the distribution business, in particular from the viewpoint of reliability of electricity supply and allowed return. The work introduces the asset management system developed for research purposes and to support the strategy work, the calculation elements of the system and initial data used in the network analysis. The key elements of this asset management system are utilised in the dissertation. Finally, the study addresses the stages of strategic decision-making and compilation of investment strategies. Further, the work illustrates implementation of strategic planning in an actual distribution company environment.

Production Cycle Optimization: Defining the Market Potential for a New Planning Tool

An optimization tool has been developed to help companies to optimize their production cycles and thus improve their overall supply chain management processes. The application combines the functionality that traditional APS (Advanced Planning System) and ARP (Automatic Replenishment Program) systems provide into one optimization run. A qualitative study was organized to investigate opportunities to expand the product’s market base. Twelve personal interviews were conducted and the results were collected in industry specific production planning analyses. Five process industries were analyzed to identify the product’s suitability to each industry sector and the most important product development areas. Based on the research the paper and the plastic film industries remain the most potential industry sectors at this point. To be successful in other industry sectors some product enhancements would be required, including capabilities to optimize multiple sequential and parallel production cycles, handle sequencing of complex finishing operations and to include master planning capabilities to support overall supply chain optimization. In product sales and marketing processes the key to success is to find and reach the people who are involved directly with the problems that the optimization tool can help to solve.