Mentorointi ja sen kehittämismahdollisuudet S-ryhmässä

Tutkielman tavoitteena oli analysoida mentorointia, sen teoriaa ja menetelmää sekä miten sitä käytetään S-ryhmässä ja millä tavalla mentoroinnin käyttöä voidaan edistää johtamisen tukena S-ryhmässä. Tutkimuksessa tarkasteltiin mentorointia menetelmänä, jolla edistetään toisilta oppimista. Mentorointia analysoidaan myös hiljaisen tiedon, tietopääoman johtamisen ja kehittyvän johtajan ominaisuuksien näkökulmista. Osatavoitteiksi asetettiin kahdella eri tavalla toteutettujen mentorointiohjelmien erojen selvittäminen tuloksiltaan ja vaikutuksiltaan sekä mentoroinnin avulla tapahtuva oppimisen tehostaminen S-ryhmässä. Tutkielmassa käytetty konstruktiivinen metodologia valittiin tutkimusongelman perusteella, koska tarkoituksena oli kehittää S-ryhmään mentoroinnin hyödyntämiseen sopiva malli. Tiedonkeruumenetelmänä käytettiin sekä kyselytutkimusta että tietoverkossa tapahtuvaa strukturoitua teemahaastattelua. Tutkimuksen teoriaosa perustuu alan kirjallisuuteen, aihetta käsitteleviin kotimaisiin ja ulkomaisiin tutkimuksiin sekä tieteellisiin lehti- ja muihin artikkeleihin. Aikaisemman teoreettisen tutkimuksen perusteella laadittiin teoreettinen viitekehys, joka muodosti perustan tutkimuksen empiiriselle osalle. Empiirinen osa koostuu S-ryhmän mentorointiprojektia koskevasta materiaalista, mentorointiprojektiin osallistuneiden henkilöiden kyselytutkimuksista sekä S-ryhmän johtoon kuuluvien yhdeksän johtajan haastattelu-tutkimuksesta. Tutkimuksen päätuloksena oli se, että mentorointi sopii erinomaisen hyvin kehitysmenetelmäksi osaamisen ja kokemustiedon siirtämiseen vanhemmilta johtajilta nuorille potentiaalisille johtajille. Tämä tulos on erityisen merkittävä S-ryhmälle johtajaosaamisen kehittämisessä, kun ryhmään ollaan parhaillaan kasvattamassa uutta johtajasukupolvea. Empiirinen tutkimus tukee myös sitä näkemystä, että mentoroinnin toteuttamiseen S-ryhmässä on olemassa erilaisia tapoja. Keskeisenä tavoitteena toteutuksissa on henkilöiden kehittyminen ja oppiminen. Tutkimustuloksissa korostuivat myös nuoremman eli mentoroitavan tarve päästä kahdenkeskiseen, avoimeen ja luottamukselliseen keskusteluun kokeneemman henkilön kanssa. Näiden tutkimustulosten perusteella päädyttiin seuraaviin johtopäätöksiin: S-ryhmä tarvitsee oman mentorointijärjestelmän, joka toteutetaan ohjatun mentorointimallin mukaisesti. S-ryhmään on tärkeä perustaa oma mentorointipooli, jossa on halukkaita, eri osa-alueita osaavia mentoreita ja meklari, joka yhdyttää osapuolet toisiinsa.

Brown algal phlorotannins: Improving and applying chemical methods

Phlorotannins are the least studied group of tannins and are found only in brown algae. Hitherto the roles of phlorotannins, e.g. in plant-herbivore interactions, have been studied by quantifying the total contents of the soluble phlorotannins with a variety of methods. Little attention has been given to either quantitative variation in cell-wall-bound and exuded phlorotannins or to qualitative variation in individual compounds. A quantification procedure was developed to measure the amount of cell-wall-bound phlorotannins. The quantification of soluble phlorotannins was adjusted for both large- and small-scale samples and used to estimate the amounts of exuded phlorotannins using bladder wrack (Fucus vesiculosus) as a model species. In addition, separation of individual soluble phlorotannins to produce a phlorotannin profile from the phenolic crude extract was achieved by high-performance liquid chromatography (HPLC). Along with these methodological studies, attention was focused on the factors in the procedure which generated variation in the yield of phlorotannins. The objective was to enhance the efficiency of the sample preparation procedure. To resolve the problem of rapid oxidation of phlorotannins in HPLC analyses, ascorbic acid was added to the extractant. The widely used colourimetric method was found to produce a variation in the yield that was dependent upon the pH and concentration of the sample. Using these developed, adjusted and modified methods, the phenotypic plasticity of phlorotannins was studied with respect to nutrient availability and herbivory. An increase in nutrients decreased the total amount of soluble phlorotannins but did not affect the cell-wall-bound phlorotannins, the exudation of phlorotannins or the phlorotannin profile achieved with HPLC. The presence of the snail Thedoxus fluviatilis on the thallus induced production of soluble phlorotannins, and grazing by the herbivorous isopod Idotea baltica increased the exudation of phlorotannins. To study whether the among-population variations in phlorotannin contents arise from the genetic divergence or from the plastic response of algae, or both, algae from separate populations were reared in a common garden. Genetic variation among local populations was found in both the phlorotannin profile and the content of total phlorotannins. Phlorotannins were also genetically variable within populations. This suggests that local algal populations have diverged in their contents of phlorotannins, and that they may respond to natural selection and evolve both quantitatively and qualitatively.

Knowledge creation and transfer in an iterative project environment

This Master’s Thesis examines knowledge creation and transfer processes in an iterative project environment. The aim is to understand how knowledge is created and transferred during an actual iterative implementation project which takes place in International Business Machines (IBM). The second aim is to create and develop new working methods that support more effective knowledge creation and transfer for future iterative implementation projects. The research methodology in this thesis is qualitative. Using focus group interviews as a research method provides qualitative information and introduces the experiences of the individuals participating in the project. This study found that the following factors affect knowledge creation and transfer in an iterative, multinational, and multi-organizational implementation project: shared vision and common goal, trust, open communication, social capital, and network density. All of these received both theoretical and empirical support. As for future projects, strengthening these factors was found to be the key for more effective knowledge creation and transfer.

LVI- ja sähköurakoinnin raportoinnin kehittäminen IT-palveluyrityksessä

Työn tavoitteena oli kehittää LVI- ja sähköurakointitoimialan asiakkaille tarjottavaa raportointia IT-palveluyrityksessä. Raportoinnin tulisi soveltua paremmin yrityksen ohjaamiseen ja sen avulla yrityksen tulisi tietää kannattavuutensa, rahoitustilanteensa ja liiketoimintansa kehityssuunnat. Tarkoituksena oli suunnitella raportointimalli, joka soveltuu toimialan pienten ja keskisuurten yritysten käyttöön. Tutkimus toteutettiin konstruktiivisena eli tutkimuksen tavoitteena oli luoda uusi ratkaisumalli käytännön ongelmaan. Konstruktion rakentamiseksi työssä selvitettiin LVI- ja sähköurakoinnin erityispiirteitä, yrityksen ohjaukseen vaikuttavia tekijöitä ja menetelmiä sekä raportoinnin periaatteellista ja teknistä toteuttamista. Näiden osa-alueiden avulla luotiin raportointimallille vaatimukset, jotka sen tulisi täyttää. Tämän jälkeen kuvattiin raportoinnin nykyinen tekninen toteutustapa ja sen sisältämät osa-alueet. Selvitettyjen vaatimusten ja nykyisen raportoinnin ongelmien perusteella luotiin alustava raportointimalli, jonka käytännön merkitys selvitettiin haastattelemalla 11 LVI- ja sähköurakointiyrityksen vastuunalaista johtajaa. Haastatteluista saatiin selville, että kahdeksan johtajaa olisi ollut valmis käyttämään konstruktiota. Alustavan raportointimallin ja haastatteluista saadun palautteen perusteella luotiin ehdotus raportointimallista toimialalla. Lisäksi IT-palveluyrityksen nykyiselle raportointimallille luotiin kolmivaiheinen kehityssuunnitelma, jolla raportointia voidaan kehittää luodun raportointimallin mukaiseksi.

Asiakkuuksien strateginen arvottaminen ja luokittelu

Tämän tutkimuksen kohdeorganisaatio on suuren teollisuusyrityksen sisäinen raaka-aineen hankkija ja toimittaja. Tutkimuksessa selvitetään, mistä kohdeorganisaation hankinta-asiakkuuksien arvo muodostuu ja kuinka olemassa olevan liiketoimintadatan perusteella voidaan tutkia, arvioida ja luokitella kauppojen ja asiakkuuksien arvokkuutta aikaan sitomatta, objektiivisesti ja luotettavasti. Tutkimuksen teoriaosiossa esitellään lähestymistapoja ja menetelmiä, joiden avulla voidaan jalostaa olemassa olevasta datasta uutta sidosryhmätietämystä liiketoiminnan käyttöön, sekä tarkastellaan asiakaskannattavuusanalyysin, portfolioanalyysin, sekä asiakassegmentoinnin perusteita ja malleja. Näiden teorioiden ja mallien pohjalta rakennetaan kohdeorganisaatiolle räätälöity, indeksoituihin hinta-, määrä- ja kauppojen toistuvuus-muuttujiin perustuva, asiakkuuksien arvottamis- ja luokittelumalli. Arvottamis- ja luokittelumalli testataan vuosien 2003–2007 liiketoimintadatasta muodostetulla 389 336 kaupparivin otoksella, joka sisältää 42 186 arvioitavaa asiakkuussuhdetta. Merkittävin esille nouseva havainto on noin 5 000:n keskimääräistä selkeästi kalliimman asiakkuuden ryhmä. Aineisto ja sen poikkeavuudet testataan tilastollisin menetelmin, jotta saadaan selville asiakkuuden arvoon vaikuttavat ja arvoa selittävät tekijät. Lopuksi pohditaan arvottamismallin merkitystä analyyttisemman ostotoiminnan ja asiakkuudenhallinnan välineenä, sekä esitetään muutamia parannusehdotuksia.

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.

Learning Preferences with Kernel-Based Methods

Learning of preference relations has recently received significant attention in machine learning community. It is closely related to the classification and regression analysis and can be reduced to these tasks. However, preference learning involves prediction of ordering of the data points rather than prediction of a single numerical value as in case of regression or a class label as in case of classification. Therefore, studying preference relations within a separate framework facilitates not only better theoretical understanding of the problem, but also motivates development of the efficient algorithms for the task. Preference learning has many applications in domains such as information retrieval, bioinformatics, natural language processing, etc. For example, algorithms that learn to rank are frequently used in search engines for ordering documents retrieved by the query. Preference learning methods have been also applied to collaborative filtering problems for predicting individual customer choices from the vast amount of user generated feedback. In this thesis we propose several algorithms for learning preference relations. These algorithms stem from well founded and robust class of regularized least-squares methods and have many attractive computational properties. In order to improve the performance of our methods, we introduce several non-linear kernel functions. Thus, contribution of this thesis is twofold: kernel functions for structured data that are used to take advantage of various non-vectorial data representations and the preference learning algorithms that are suitable for different tasks, namely efficient learning of preference relations, learning with large amount of training data, and semi-supervised preference learning. Proposed kernel-based algorithms and kernels are applied to the parse ranking task in natural language processing, document ranking in information retrieval, and remote homology detection in bioinformatics domain. Training of kernel-based ranking algorithms can be infeasible when the size of the training set is large. This problem is addressed by proposing a preference learning algorithm whose computation complexity scales linearly with the number of training data points. We also introduce sparse approximation of the algorithm that can be efficiently trained with large amount of data. For situations when small amount of labeled data but a large amount of unlabeled data is available, we propose a co-regularized preference learning algorithm. To conclude, the methods presented in this thesis address not only the problem of the efficient training of the algorithms but also fast regularization parameter selection, multiple output prediction, and cross-validation. Furthermore, proposed algorithms lead to notably better performance in many preference learning tasks considered.

Managerial Careers in the IT Industry: Women in China and in Finland

This research focuses on the career experiences of women managers in the IT industry in China and Finland, two countries with different cultures, policies, size of population, and social and economic structures regarding work-life support and equal opportunities. The object of this research is to present a cross-cultural comparison of women’s career experiences and how women themselves understand and account for their careers. The study explores how the macro and the micro levels of cultural and social processes become manifested in the lives of individual women. The main argument in this thesis is that culture plays a crucial role in making sense of women’s career experiences, although its role should be understood through its interrelationship with other social processes, e.g., institutional relations, social policies, industrial structures and organizations, as well as globalization. The interrelationship of a series of cultural and social processes affects individuals’ attitudes to, and arrangement and organization of, their work and family lives. This thesis consists of two parts. The first part introduces the research topic and discusses the overall results. The second part comprises five research papers. The main research question of the study is: How do cultural and social processes affect the experiences of women managers? Quantitative and qualitative research methods, which include in-depth interviews, Q-methodology, interpretive analysis, and questionnaires, are used in the study. The main theoretical background is culturally sensitive career theory and the theory of individual differences. The results of this study are viewed through a feminist lens. The research methodology applied allows new explorations on how demographic factors, work experiences, lifestyle issues, and organizational cultures can jointly affect women’s managerial careers. The sample group used in the research is 42 women managers working in IT companies in China (21) and Finland (21). The results of the study illustrate the impact of history, tradition, culture, institutional relations, social politics, industry and organizations, and globalization on the careers of women managers. It is claimed that the role of culture – cultural norms within nations and organizations – is of great importance in the relationship of gender and work. Women’s managerial careers are affected by multiple factors (personal, social and cultural) reflecting national and inter-individual differences. The results of the study contribute to research on careers, adding particularly to the literature on gender, work and culture, and offering a complex and holistic perspective for a richer understanding of pluralism and global diversity. The results of the study indicate how old and new career perspectives are evidenced in women managers in the IT industry. The research further contributes to an understanding of women’s managerial careers from a cross-culture perspective. In addition, the study contributes to the literature on culture and extends understanding of Hofstede’s work. Further, most traditional career theories do not perceive the importance of culture in determining an individual’s career experience and this study richens understanding of women managers’ careers and has considerable implications for international human resource management. The results of this study emphasize the need, when discussing women managers’ careers, to understand the ways by which gendering is produced rather than merely examining gender differences. It is argued that the meaning of self-knowledge is critical. Further, the environment where the careers under study develop differs greatly; China and Finland are very different – culturally, historically and socially. The findings of this study should, therefore, be understood as a holistic, specific, and contextually-bound.

Inter organizational learning within and by innovation networks

The thesis deals with the phenomenon of learning between organizations in innovation networks that develop new products, services or processes. Inter organizational learning is studied especially at the level of the network. The role of the network can be seen as twofold: either the network is a context for inter organizational learning, if the learner is something else than the network (organization, group, individual), or the network itself is the learner. Innovations are regarded as a primary source of competitiveness and renewal in organizations. Networking has become increasingly common particularly because of the possibility to extend the resource base of the organization through partnerships and to concentrate on core competencies. Especially in innovation activities, networks provide the possibility to answer the complex needs of the customers faster and to share the costs and risks of the development work. Networked innovation activities are often organized in practice as distributed virtual teams, either within one organization or as cross organizational co operation. The role of technology is considered in the research mainly as an enabling tool for collaboration and learning. Learning has been recognized as one important collaborative process in networks or as a motivation for networking. It is even more important in the innovation context as an enabler of renewal, since the essence of the innovation process is creating new knowledge, processes, products and services. The thesis aims at providing enhanced understanding about the inter organizational learning phenomenon in and by innovation networks, especially concentrating on the network level. The perspectives used in the research are the theoretical viewpoints and concepts, challenges, and solutions for learning. The methods used in the study are literature reviews and empirical research carried out with semi structured interviews analyzed with qualitative content analysis. The empirical research concentrates on two different areas, firstly on the theoretical approaches to learning that are relevant to innovation networks, secondly on learning in virtual innovation teams. As a result, the research identifies insights and implications for learning in innovation networks from several viewpoints on organizational learning. Using multiple perspectives allows drawing a many sided picture of the learning phenomenon that is valuable because of the versatility and complexity of situations and challenges of learning in the context of innovation and networks. The research results also show some of the challenges of learning and possible solutions for supporting especially network level learning.

Methods for assessing the sustainability of integrated municipal waste management and

The general striving to bring down the number of municipal landfills and to increase the reuse and recycling of waste-derived materials across the EU supports the debates concerning the feasibility and rationality of waste management systems. Substantial decrease in the volume and mass of landfill-disposed waste flows can be achieved by directing suitable waste fractions to energy recovery. Global fossil energy supplies are becoming more and more valuable and expensive energy sources for the mankind, and efforts to save fossil fuels have been made. Waste-derived fuels offer one potential partial solution to two different problems. First, waste that cannot be feasibly re-used or recycled is utilized in the energy conversion process according to EU’s Waste Hierarchy. Second, fossil fuels can be saved for other purposes than energy, mainly as transport fuels. This thesis presents the principles of assessing the most sustainable system solution for an integrated municipal waste management and energy system. The assessment process includes: · formation of a SISMan (Simple Integrated System Management) model of an integrated system including mass, energy and financial flows, and · formation of a MEFLO (Mass, Energy, Financial, Legislational, Other decisionsupport data) decision matrix according to the selected decision criteria, including essential and optional decision criteria. The methods are described and theoretical examples of the utilization of the methods are presented in the thesis. The assessment process involves the selection of different system alternatives (process alternatives for treatment of different waste fractions) and comparison between the alternatives. The first of the two novelty values of the utilization of the presented methods is the perspective selected for the formation of the SISMan model. Normally waste management and energy systems are operated separately according to the targets and principles set for each system. In the thesis the waste management and energy supply systems are considered as one larger integrated system with one primary target of serving the customers, i.e. citizens, as efficiently as possible in the spirit of sustainable development, including the following requirements: · reasonable overall costs, including waste management costs and energy costs; · minimum environmental burdens caused by the integrated waste management and energy system, taking into account the requirement above; and · social acceptance of the selected waste treatment and energy production methods. The integrated waste management and energy system is described by forming a SISMan model including three different flows of the system: energy, mass and financial flows. By defining the three types of flows for an integrated system, the selected factor results needed in the decision-making process of the selection of waste management treatment processes for different waste fractions can be calculated. The model and its results form a transparent description of the integrated system under discussion. The MEFLO decision matrix has been formed from the results of the SISMan model, combined with additional data, including e.g. environmental restrictions and regional aspects. System alternatives which do not meet the requirements set by legislation can be deleted from the comparisons before any closer numerical considerations. The second novelty value of this thesis is the three-level ranking method for combining the factor results of the MEFLO decision matrix. As a result of the MEFLO decision matrix, a transparent ranking of different system alternatives, including selection of treatment processes for different waste fractions, is achieved. SISMan and MEFLO are methods meant to be utilized in municipal decision-making processes concerning waste management and energy supply as simple, transparent and easyto- understand tools. The methods can be utilized in the assessment of existing systems, and particularly in the planning processes of future regional integrated systems. The principles of SISMan and MEFLO can be utilized also in other environments, where synergies of integrating two (or more) systems can be obtained. The SISMan flow model and the MEFLO decision matrix can be formed with or without any applicable commercial or free-of-charge tool/software. SISMan and MEFLO are not bound to any libraries or data-bases including process information, such as different emission data libraries utilized in life cycle assessments.

Developing an Improved System for Allocating Support Unit Costs to Business Units

The objective of this study is to develop an improved support unit cost allocation system for a medium-sized technology company, and to examine which options for overhead cost accounting exist. The study begins with presenting the terminology and methods associated with overhead cost accounting and responsibility accounting. Also the most common challenges and resulting benefits of overhead cost allocation system development are brought up. As one research method two case studies were conducted for benchmarking purposes. These external cases are compared with the principal company’s cost allocation system and reflected against the theoretical background. In the empirical section interviews were used as the primary source of information alongside self studying principal company’s old cost allocation method. Interviews revealed the main weaknesses of the old system and proposals for a new one, which were utilized in setting targets for developing the new system. As a result of the development process an improved support unit cost allocation system was realized for year 2009. The new system is able to handle support unit costs in more detail enhancing the transparency and fairness of resulting cost allocations. Parts of support unit costs are now seen as business units’ own costs rather than group-level overhead. Also recommendations for further development are made after analyzing how well the targets were reached.

ContinuousMultimodal Global Optimization with Differential Evolution-Based Methods

Metaheuristic methods have become increasingly popular approaches in solving global optimization problems. From a practical viewpoint, it is often desirable to perform multimodal optimization which, enables the search of more than one optimal solution to the task at hand. Population-based metaheuristic methods offer a natural basis for multimodal optimization. The topic has received increasing interest especially in the evolutionary computation community. Several niching approaches have been suggested to allow multimodal optimization using evolutionary algorithms. Most global optimization approaches, including metaheuristics, contain global and local search phases. The requirement to locate several optima sets additional requirements for the design of algorithms to be effective in both respects in the context of multimodal optimization. In this thesis, several different multimodal optimization algorithms are studied in regard to how their implementation in the global and local search phases affect their performance in different problems. The study concentrates especially on variations of the Differential Evolution algorithm and their capabilities in multimodal optimization. To separate the global and local search search phases, three multimodal optimization algorithms are proposed, two of which hybridize the Differential Evolution with a local search method. As the theoretical background behind the operation of metaheuristics is not generally thoroughly understood, the research relies heavily on experimental studies in finding out the properties of different approaches. To achieve reliable experimental information, the experimental environment must be carefully chosen to contain appropriate and adequately varying problems. The available selection of multimodal test problems is, however, rather limited, and no general framework exists. As a part of this thesis, such a framework for generating tunable test functions for evaluating different methods of multimodal optimization experimentally is provided and used for testing the algorithms. The results demonstrate that an efficient local phase is essential for creating efficient multimodal optimization algorithms. Adding a suitable global phase has the potential to boost the performance significantly, but the weak local phase may invalidate the advantages gained from the global phase.

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.

Challenges and Means for the Front End Activities of Software Development

The front end of innovation is regarded as one of the most important steps in building new software products or services, and the most significant benefits in software development can be achieved through improvements in the front end activities. Problems in the front end phase have an impact on customer dissatisfaction with delivered software, and on the effectiveness of the entire software development process. When these processes are improved, the likelihood of delivering high quality software and business success increases. This thesis highlights the challenges and problems related to the early phases of software development, and provides new methods and tools for improving performance in the front end activities of software development. The theoretical framework of this study comprises two fields of research. The first section belongs to the field of innovation management, and especially to the management of the early phases of the innovation process, i.e. the front end of innovation. The second section of the framework is closely linked to the processes of software engineering, especially to the early phases of the software development process, i.e. the practice of requirements engineering. Thus, this study extends the theoretical knowledge and discloses the differences and similarities in these two fields of research. In addition, this study opens up a new strand for academic discussion by connecting these research directions. Several qualitative business research methodologies have been utilized in the individual publications to solve the research questions. The theoretical and managerial contribution of the study can be divided into three areas: 1) processes and concepts, 2) challenges and development needs, and 3) means and methods for the front end activities of software development. First, the study discloses the difference and similarities between the concepts of the front end of innovation and requirements engineering, and proposes a new framework for managing the front end of the software innovation process, bringing business and innovation perspectives into software development. Furthermore, the study discloses managerial perceptions of the similarities and differences in the concept of the front end of innovation between the software industry and the traditional industrial sector. Second, the study highlights the challenges and development needs in the front end phase of software development, especially challenges in communication, such as linguistic problems, ineffective communication channels, a communication gap between users/customers and software developers, and participation of multiple persons in software development. Third, the study proposes new group methods for improving the front end activities of software development, especially customer need assessment, and the elicitation of software requirements.

Pienten osakeyhtiöiden verosuunnittelu - empiirinen tutkimus

Tutkimuksen aiheeksi valittiin pienten osakeyhtiöiden verosuunnittelu. Tutkimuksen teoreettinen viitekehys perustui aiempaan laskentatoimen empiiriseen verotutkimukseen sekä laskentatoimen kontingenssiteoreettiseen pk-yritystutkimukseen. Tutkimusaineistoa kerättiin kyselytutkimuksella sekä tilinpaatostietokannasta Voitto+. Kyselytutkimukseen valittiin satunnaisotannalla osakeyhtiötä Etelä Suomen läänistä, joiden liikevaihto oli välillä 1 10 milj. euroa. Kyselytutkimukseen vastasi 216 yritystä, jolloin vastausprosentiksi saatiin 21,3. Kerättyä tutkimusaineistoa analysoitiin kvantitatiivisin menetelmin. Pääasiallisina analysointimenetelminä käytettiin pääkomponentti-, klusteri- ja regressioanalyysiä. Tutkimuksen tavoitteeksi asetettiin kokonaiskuvan muodostaminen pienten osakeyhtiöiden verosuunnittelusta, verosuunnittelun asemointi osaksi yrityksen taloushallintoa sekä yritysten erilaisia verosuunnittelustrategioita selittävien tekijöiden tunnistaminen. Tutkimusaineistosta kyettiin tunnistamaan pääkomponenttianalyysillä neljä erilaista verosuunnitteluorientaatiota: valistunut, resursseja panostava, veroa minimoiva sekä vastuuta ulkoistava. Verosuunnitteluorientaatioita kuvaavien muuttujien avulla yritykset jaettiin klusterianalyysilla neljään ryhmään. Yritykset nimettiin ryhmien luonteidensa mukaisesti verosuunnittelun osalta vastuun ulkoistajiksi, veron minimoijiksi, veroneutraaleiksi sekä valistuneiksi. Verosuunnitteluvastuuta ulkoistavien yritysten ryhmään kuului n. 57 % kyselyyn vastanneista yrityksistä. Tulos osoittaa sen, että yritykset ovat verosuunnittelun osalta paljolti riippuvaisia taloushallinnon sidosryhmistä, tilitoimistoista sekä tilintarkastajista. Tulosta voidaan tulkita myös niin, että taloushallinnon sidosryhmien ammattitaito verosuunnittelun osalta on keskeisessä roolissa, kun arvioidaan, miten yritysten välinen tasapuolisuus verotuksen osalta käytännössä toteutuu. Yritysten erilaisia verosuunnitteluorientaatioita, jotka kuvasivat yritysten verosuunnittelustrategioita, ei kyetty kvantitatiivisilla analyyseilla selittämään samoilla muuttujilla kuin yritysten erilaisia johdon laskentatoimen käytänteitä. Tätä havaintoa tulkittiin siten, että vaikka verosuunnittelu on selkeästi osa yrityksen taloushallintoa, sen asema ei ole johdon laskentatoimen käytänteiden tavoin taloushallinnon ytimessä. Tutkimuksessa kyettiin tuottamaan tuloksia, jotka kontribuoivat aiempia laskentatoimen empiirisiä verotutkimuksia, ja joilla on uutuusarvoa käytännön toimijoiden näkökulmasta.