33 resultados para Context analysis

em Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland


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Tämä tutkimus osallistuu tuottaja-osuuskuntiin liittyviin kestävän kehityksen keskusteluihin ja tarjoaa esimerkin pohjoismaisesta ruoantuotannon toimialasta. Tämä tutkimus seuraa kvalitatiivisen tutkimuksen suuntaviivoja ja Fairclough’n kriittinen diskurssianalyysi tarjoaa metodin yritystekstien analyysille. Kieli ymmärretään poststrukturalistisesta näkökulmasta, joka luo kielellisiä identiteettejä ja rakentaa vastuullisuuskeskustelua. Tutkimuksen tavoitteena on kuvata diskurssit, jotka rakentavat vastuullisuuskeskustelua kontekstissaan. Lisäksi tavoitteena on kuvata ja ymmärtää kuinka nämä diskurssit rakentavat rooleja ja identiteettejä ympärilleen sekä kuinka yritystekstit institutionalisoituvat ja vaikuttavat kontekstiinsa. Analyysi määrittää kolme vastuullisuusdiskurssia, jotka kuvaavat yrityskansalaisuutta, liiketoimintalähtöisyyttä ja integriteettiä. Diskurssien tavoitteiden, roolien, ja identiteettien ymmärrys ja vaikutus ympäristöön auttaa laajentamaan tietämystä kestävän kehityksen moniulotteisesta luonteesta. Lisäksi tutkimus muodostaa itsessään äänen osuuskuntatutkimukselle ja kestävän kehityksen ymmärryksen laajentamiselle.

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Tässä tutkimuksessa tarkastellaan sopeutumattomien erityisoppilaiden tunne- ja itsesäätelytaitojen kehittymistä Aggression portaat -interventio-ohjelman avulla kolmen vuoden tutkimusjakson aikana. Käsite sopeutumaton oppilas ei ole yksiselitteisesti määriteltävissä, mutta tässä tutkimuksessa sillä tarkoitetaan yleisopetussuunnitelman mukaan opiskelevaa oppilasta, joka käyttäytymiseen ja tunne-elämään liittyvien haasteidensa vuoksi on saanut siirron erityisopetuksen oppilaaksi ja saa enintään 10 oppilaan opetusryhmässä erityistä pedagogista tukea. Tutkimuksen yksi keskeinen tehtävä oli tutkia, onko tunne- ja itsesäätelytaitojen opettamisesta hyötyä sopeutumattomien oppilaiden tunteiden hallinnan ja käyttäytymisen itsesäätelyn kannalta. Tutkimuksen teoreettisena viitekehyksenä on Rose-Krasnorin (1997) malli yksilön sosioemotionaalisesta kompetenssista täydennettynä muiden tutkijoiden näkemyksillä. Sosioemotionaalinen kompetenssi on yläkäsite, johon kuuluvat alakäsitteinä tunne- ja itsesäätelytaidot, sosiokognitiiviset taidot ja sosiaaliset taidot. Lisäksi sosioemotionaaliseen kompetenssiin vaikuttavat kiintymyssuhteet ja osallisuus sekä tavoitteet vuorovaikutuksessa ja konteksti. Tässä tutkimuksessa keskitytään tunne- ja itsesäätelytaitoihin. Interventioryhmän (N=36) muodostivat Varsinais-Suomen alueella opiskelevat sopeutumattomien oppilaiden erityiskoulun 8-13-vuotiaat oppilaat, joille opetettiin tunne- ja itsesäätelytaitoja Aggression portaat -opetusmateriaaliin (Cacciatore 2007) pohjautuvan intervention avulla. Kontrolliryhmän (N=26) oppilaat olivat interventioryhmän oppilaiden ikäisiä ja he opiskelivat Varsinais-Suomen alueen kouluissa pienluokissa myös käyttäytymiseen ja tunne-elämään liittyvien haasteidensa vuoksi. Kontrolliryhmän oppilaat eivät saaneet tutkimusjakson aikana interventio-ohjelman mukaista opetusta. Interventioryhmän oppilaat kävivät erityiskoulua, jossa kaikilla oppilailla oli sopeutumisongelmia ja kontrolliryhmän oppilaat opiskelivat yleisopetuksen koulujen yhteydessä olevilla sopeutumattomien oppilaiden pienluokilla. Tutkimusaineisto on kerätty vuosina 2010-2012. Tutkimusmetodeina olivat sekä oppilaille että opettajille laaditut Webropol-alustaiset kyselyt ja oppilaiden kirjoittamat väkivalta-aiheiset tekstit. Tutkimus- ja kontrolliryhmän oppilaille pidettiin ”Tunteiden hallinta ja käyttäytyminen”- kyselyn avulla alkumittaus syksyllä 2009 ja mittaus toistettiin keväällä 2010, 2011 ja 2012. Kyselyiden avulla selvitettiin, miten oppilaiden tunteiden kokeminen ja ilmaiseminen sekä tunteiden hallinta ja käyttäytymisen itsesäätely muuttuivat tutkimusjakson aikana. Kyselyssä kartoitettiin myös oppilaiden kokemuksia kiusaamisena ilmenevästä väkivallasta. Aineistolähtöisen sisällönanalyysin avulla selvitettiin oppilaiden kirjoitelmista heidän ajatuksiaan ja näkemyksiään väkivallasta ja ehdotuksia keinoista väkivallan vähentämiseksi. Keväällä 2012 interventioryhmän oppilaille ja opettajille laadittujen erillisten kyselyiden avulla selvitettiin sekä oppilaiden että opettajien arvioita ja kokemuksia oppilaiden tunne- ja itsesäätelytaitojen muutoksesta interventio-ohjelman avulla. Lisäksi oppilaat ja opettajat arvioivat pidettyjen tunnetaitotuntien hyödyllisyyttä oppilaille. Interventioryhmän opettajat arvioivat myös Aggression portaat -interventiomateriaalin käyttökelpoisuutta. Vuoden 2014 Perusopetuksen opetussuunnitelman perusteissa esitetyt velvoitteet opettaa kouluissa oppilaille tunne- ja vuorovaikutustaitoja edellyttävät tietoa konkreettisista käytänteistä ja tutkimusperustaisista interventio-ohjelmista. Tämän tutkimuksen tulokset osoittavat, että interventioryhmän muodostaneet sopeutumattomat oppilaat hyötyivät Aggression portaat -interventiosta. Heidän tunne- ja itsesäätelytaidoissaan tapahtui myönteistä kehitystä etenkin myönteisten tunnekokemusten lisääntymisen ja toisiin kohdistuneen fyysisen väkivallan vähenemisen osalta. Myös suhtautuminen väkivaltapelien ikärajoihin oli merkittävästi myönteisempää kuin kontrolliryhmän oppilailla, joilla kielteinen asenne lisääntyi selvästi tutkimusjakson aikana. Lisäksi interventioryhmän oppilailla oli keinoja itsensä rentouttamiseksi, päinvastoin kuin kontrolliryhmän oppilailla, joilla keinottomuuden kokemus jopa lisääntyi. Interventioryhmän oppilaat suhtautuivat hyvin kielteisesti toisen yllyttämiseen väkivaltaiseen tekoon ja kirjoittivat enemmän ajatuksiaan väkivallasta tuoden esille runsaasti ehdotuksia keinoista väkivallan vähentämiseksi. Myös oppilaat ja opettajat kokivat interventio-ohjelman oppilaiden kehityksen kannalta hyödylliseksi ja opettajat myös interventiomateriaalin käyttökelpoiseksi.

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The aim of this study is to explore the role and importance of different animal species in Turku through an analysis of osteological data and documentary evidence. The osteological material used in this study is derived from two town plots in Turku dating from the 13th century to the 19th century. The osteological material deposited in Turku represents animals bred both in the town and in the surrounding landscape. Animal husbandry in SW-Finland can also be examined through a number of historical documents. The importance of animals in Turku and its hinterland are closely connected and therefore the roles of the animals in both urban and rural settings are examined. The study has revealed the complexity of the depositional patterns in medieval and post-medieval Turku. In the different areas of Turku, characteristic patterns in the osteological material and different deposit types were evident. These patterns are reflections of the activities and therefore of the lifestyles practiced in Turku. The results emphasise the importance of context- awareness in the study of material culture from archaeological sites. Both the zooarchaeological and historical sources indicate that cattle were important in animal husbandry in Turku from the Middle Ages up to the 19th century. Sheep were the second most common species. When taking into consideration the larger size of cattle, the dominance of these animals when it come to meat consumption seems clear even in those phases where sheep bones are more abundant. Pig is less abundant in the material than either cattle or sheep and their importance for subsistence was probably fairly modest, albeit constant. Goats were not abundant in the material. Most of the identified goat bones came from low utility body parts (e.g. skulls and lower extremities), but some amount of goat meat was also consumed. Wild species were of minor importance when it came to consumption practices in Turku. The changes in Turku’s animal husbandry patterns between the medieval and post medieval periods is reflected in the change in age of the animals slaughtered, which was part of a wider pattern seen in North- and Central Europe. More mature animals are also present in the assemblages. This pattern is related to the more pronounced importance of cattle as a manure producer and a draught animal as a result of the intensification of crop cultivation. This change seems to occur later in Finland than in the more Southerly regions, and indeed it did not necessarily take hold in all parts of the country.

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Demand forecasting is one of the fundamental managerial tasks. Most companies do not know their future demands, so they have to make plans based on demand forecasts. The literature offers many methods and approaches for producing forecasts. When selecting the forecasting approach, companies need to estimate the benefits provided by particular methods, as well as the resources that applying the methods call for. Former literature points out that even though many forecasting methods are available, selecting a suitable approach and implementing and managing it is a complex cross-functional matter. However, research that focuses on the managerial side of forecasting is relatively rare. This thesis explores the managerial problems that are involved when demand forecasting methods are applied in a context where a company produces products for other manufacturing companies. Industrial companies have some characteristics that differ from consumer companies, e.g. typically a lower number of customers and closer relationships with customers than in consumer companies. The research questions of this thesis are: 1. What kind of challenges are there in organizing an adequate forecasting process in the industrial context? 2. What kind of tools of analysis can be utilized to support the improvement of the forecasting process? The main methodological approach in this study is design science, where the main objective is to develop tentative solutions to real-life problems. The research data has been collected from two organizations. Managerial problems in organizing demand forecasting can be found in four interlinked areas: 1. defining the operational environment for forecasting, 2. defining the forecasting methods, 3. defining the organizational responsibilities, and 4. defining the forecasting performance measurement process. In all these areas, examples of managerial problems are described, and approaches for mitigating these problems are outlined.

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This study presents an automatic, computer-aided analytical method called Comparison Structure Analysis (CSA), which can be applied to different dimensions of music. The aim of CSA is first and foremost practical: to produce dynamic and understandable representations of musical properties by evaluating the prevalence of a chosen musical data structure through a musical piece. Such a comparison structure may refer to a mathematical vector, a set, a matrix or another type of data structure and even a combination of data structures. CSA depends on an abstract systematic segmentation that allows for a statistical or mathematical survey of the data. To choose a comparison structure is to tune the apparatus to be sensitive to an exclusive set of musical properties. CSA settles somewhere between traditional music analysis and computer aided music information retrieval (MIR). Theoretically defined musical entities, such as pitch-class sets, set-classes and particular rhythm patterns are detected in compositions using pattern extraction and pattern comparison algorithms that are typical within the field of MIR. In principle, the idea of comparison structure analysis can be applied to any time-series type data and, in the music analytical context, to polyphonic as well as homophonic music. Tonal trends, set-class similarities, invertible counterpoints, voice-leading similarities, short-term modulations, rhythmic similarities and multiparametric changes in musical texture were studied. Since CSA allows for a highly accurate classification of compositions, its methods may be applicable to symbolic music information retrieval as well. The strength of CSA relies especially on the possibility to make comparisons between the observations concerning different musical parameters and to combine it with statistical and perhaps other music analytical methods. The results of CSA are dependent on the competence of the similarity measure. New similarity measures for tonal stability, rhythmic and set-class similarity measurements were proposed. The most advanced results were attained by employing the automated function generation – comparable with the so-called genetic programming – to search for an optimal model for set-class similarity measurements. However, the results of CSA seem to agree strongly, independent of the type of similarity function employed in the analysis.

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Diabetes is a rapidly increasing worldwide problem which is characterised by defective metabolism of glucose that causes long-term dysfunction and failure of various organs. The most common complication of diabetes is diabetic retinopathy (DR), which is one of the primary causes of blindness and visual impairment in adults. The rapid increase of diabetes pushes the limits of the current DR screening capabilities for which the digital imaging of the eye fundus (retinal imaging), and automatic or semi-automatic image analysis algorithms provide a potential solution. In this work, the use of colour in the detection of diabetic retinopathy is statistically studied using a supervised algorithm based on one-class classification and Gaussian mixture model estimation. The presented algorithm distinguishes a certain diabetic lesion type from all other possible objects in eye fundus images by only estimating the probability density function of that certain lesion type. For the training and ground truth estimation, the algorithm combines manual annotations of several experts for which the best practices were experimentally selected. By assessing the algorithm’s performance while conducting experiments with the colour space selection, both illuminance and colour correction, and background class information, the use of colour in the detection of diabetic retinopathy was quantitatively evaluated. Another contribution of this work is the benchmarking framework for eye fundus image analysis algorithms needed for the development of the automatic DR detection algorithms. The benchmarking framework provides guidelines on how to construct a benchmarking database that comprises true patient images, ground truth, and an evaluation protocol. The evaluation is based on the standard receiver operating characteristics analysis and it follows the medical practice in the decision making providing protocols for image- and pixel-based evaluations. During the work, two public medical image databases with ground truth were published: DIARETDB0 and DIARETDB1. The framework, DR databases and the final algorithm, are made public in the web to set the baseline results for automatic detection of diabetic retinopathy. Although deviating from the general context of the thesis, a simple and effective optic disc localisation method is presented. The optic disc localisation is discussed, since normal eye fundus structures are fundamental in the characterisation of DR.

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During the past century, an increasingly diverse world provided us with opportunities for intercultural communication; especially the growth of commerce at all levels from domestic to international has made the combination of the theories of intercultural communication and international business necessary. As one of the main beneficiaries in international business in recent years, companies in airline industries have developed their international market. For instance, Finnair has developed its Asian strategy which responds to the increasing market demand for flights from Europe to Asia in the new millennium. Therefore, the company manages marketing communication in a global environment and becomes a suitable case for studying the theories of intercultural communication in the context of international marketing. Finnair implemented a large number of international advertisements to promote its Asian routes, where Asia has been constructed as a number of exotic destinations. Meanwhile, the company itself as a provider of these destinations has also been constructed contrastively. Thus, this thesis aims at research how Finnair constructs Asia and the company itself in the new millennium, and how these constructions compare with the theories of intercultural communication. This research applied the theories of international marketing, intercultural communication and culture. In order to analyze the collected corpora as Finnair’s international advertisements and its annual reports in the new millennium, the methods of content analysis and discourse analysis have been used in this research. As a result, Finnair has purposefully applied the essentialist approach to intercultural communication and constructed Asia as an exotic “Other” due to the company’s market orientation. Meanwhile, Finnair has also constructed the company itself two identities based on the same approach: as an international airline provider between Europe and Asia, as well as a part of Finnish society. The combination of intercultural communication and international marketing theories, together with the combination of the methods of content analysis and discourse analysis ensure the originality of this paper.

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Innovation has been widely recognized as an important driver of firm competitiveness, and the firm’s internal research and development (R&D) activities are often considered to have a critical role in innovation activities. Internal R&D is, however, not the source of innovation as firms may tap into knowledge necessary for innovation also through various types of sourcing agreements or by collaborating with other organizations. The objective of this study is to analyze the way firms go about organizing efficiently their innovation boundaries. Within this context, the analysis is focused, firstly, on the relation between innovation boundaries and firm innovation performance and, secondly, on the factors explaining innovation boundary organization. The innovation literature recognizes that the sources of innovation depend on the nature of technology but does not offer a sufficient tool for analyzing innovation boundary options and their efficiency. Thus, this study suggests incorporating insights from transaction cost economics (TCE) complemented with dynamic governance costs and benefits into the analysis. The thesis consists of two parts. The first part introduces the background of the study, research objectives, an overview of the empirical studies, and the general conclusions of the study. The second part is formed of five publications. The overall results firstly indicate that although the relation between firm innovation boundary options is partly industry sector-specific, the firm level search strategies and knowledge transfer capabilities are important for innovation performance independently of the sector. Secondly, the results show that the attributes suggested by TCE alone do not offer a sufficient explanation of innovation boundary selection, especially under conditions of high levels of (radical) uncertainty. Based on the results, the dynamic governance cost and benefit framework complements the static TCE when firm innovation boundaries are scrutinized.

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The objective of this master’s thesis was to study how customer relationships should be assessed and categorized in order to support customer relationship management (CRM) in the context of business-to-business (B2B) and professional services. This sophisticated and complex market is utilizing possibilities of CRM only rarely and even then the focus is often on technology. The theoretical part considered first CRM from the value chain point of view and then discussed the cyclical nature of relationships. The case study focused on B2B professional service firm. The data was collected from company databases and included the sample of 90 customers. The research was conducted in three phases first studying the age, then the service type of relationships and finally executing the cluster analysis. The data was analysed by statistical analysis program SAS Enterprise Guide. The results indicate that there are great differences between developments of customer relationships. While some relationships are dynamically growing and changing, most of customers are remaining constant. This implies expectations and requirements of customers are similarly divergent and relationships should be managed accordingly.

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Systems biology is a new, emerging and rapidly developing, multidisciplinary research field that aims to study biochemical and biological systems from a holistic perspective, with the goal of providing a comprehensive, system- level understanding of cellular behaviour. In this way, it addresses one of the greatest challenges faced by contemporary biology, which is to compre- hend the function of complex biological systems. Systems biology combines various methods that originate from scientific disciplines such as molecu- lar biology, chemistry, engineering sciences, mathematics, computer science and systems theory. Systems biology, unlike “traditional” biology, focuses on high-level concepts such as: network, component, robustness, efficiency, control, regulation, hierarchical design, synchronization, concurrency, and many others. The very terminology of systems biology is “foreign” to “tra- ditional” biology, marks its drastic shift in the research paradigm and it indicates close linkage of systems biology to computer science. One of the basic tools utilized in systems biology is the mathematical modelling of life processes tightly linked to experimental practice. The stud- ies contained in this thesis revolve around a number of challenges commonly encountered in the computational modelling in systems biology. The re- search comprises of the development and application of a broad range of methods originating in the fields of computer science and mathematics for construction and analysis of computational models in systems biology. In particular, the performed research is setup in the context of two biolog- ical phenomena chosen as modelling case studies: 1) the eukaryotic heat shock response and 2) the in vitro self-assembly of intermediate filaments, one of the main constituents of the cytoskeleton. The range of presented approaches spans from heuristic, through numerical and statistical to ana- lytical methods applied in the effort to formally describe and analyse the two biological processes. We notice however, that although applied to cer- tain case studies, the presented methods are not limited to them and can be utilized in the analysis of other biological mechanisms as well as com- plex systems in general. The full range of developed and applied modelling techniques as well as model analysis methodologies constitutes a rich mod- elling framework. Moreover, the presentation of the developed methods, their application to the two case studies and the discussions concerning their potentials and limitations point to the difficulties and challenges one encounters in computational modelling of biological systems. The problems of model identifiability, model comparison, model refinement, model inte- gration and extension, choice of the proper modelling framework and level of abstraction, or the choice of the proper scope of the model run through this thesis.

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The purpose of this academic economic geographical dissertation is to study and describe how competitiveness in the Finnish paper industry has developed during 2001–2008. During these years, the Finnish paper industry has faced economically challenging times. This dissertation attempts to fill the existing gap between theoretical and empirical discussions concerning economic geographical issues in the paper industry. The main research questions are: How have the supply chain costs and margins developed during 2001–2008? How do sales prices, transportation, and fixed and variable costs correlate with gross margins in a spatial context? The research object for this case study is a typical large Finnish paper mill that exports over 90 % of its production. The economic longitudinal research data were obtained from the case mill’s controlled economic system and, correlation (R2) analysis was used as the main research method. The time series data cover monthly economic and manufacturing observations from the mill from 2001 to 2008. The study reveals the development of prices, costs and transportation in the case mill, and it shows how economic variables correlate with the paper mills’ gross margins in various markets in Europe. The research methods of economic geography offer perspectives that pay attention to the spatial (market) heterogeneity. This type of research has been quite scarce in the research tradition of Finnish economic geography and supply chain management. This case study gives new insight into the research tradition of Finnish economic geography and supply chain management and its applications. As a concrete empirical result, this dissertation states that the competitive advantages of the Finnish paper industry were significantly weakened during 2001–2008 by low paper prices, costly manufacturing and expensive transportation. Statistical analysis expose that, in several important markets, transport costs lower gross margins as much as decreasing paper prices, which was a new finding. Paper companies should continuously pay attention to lowering manufacturing and transporting costs to achieve more profitable economic performance. The location of a mill being far from markets clearly has an economic impact on paper manufacturing, as paper demand is decreasing and oversupply is pressuring paper prices down. Therefore, market and economic forecasting in the paper industry is advantageous at the country and product levels while simultaneously taking into account the economic geographically specific dimensions.

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The objective of the thesis is to examine the current state of risk management and to determine an appropriate risk management policy for commercial property derived risks in the Russian branch of a Finnish retail trade company. The employed research methodologies are comparative in-depth interviews and empirical value at risk analysis, including portfolio risk decomposition to determine the inter-currency characteristics. For a multinational retail trade company, the commercial property derived risks open up as a diverse combination of financial and non-financial risks with four distinctive interest groups. The research results indicate that geographical diversification across currency regimes provides diversification benefits. The Russian ruble is the most significant single risk component when considering the net investments outside the euro-zone. Decreasing the Russian ruble and Swedish krona exposures are the most effective methods to reduce translation derived risk. Exchange rate volatility varies over time according to idiosyncratic currency regime characteristics, and cost-effective risk management requires comprehensive analysis of the business environment. Profound and proactive risk management methods are found to be pivotal for companies with cross-border operations in order to succeed among international competitors.

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Over the past decade, organizations worldwide have begun to widely adopt agile software development practices, which offer greater flexibility to frequently changing business requirements, better cost effectiveness due to minimization of waste, faster time-to-market, and closer collaboration between business and IT. At the same time, IT services are continuing to be increasingly outsourced to third parties providing the organizations with the ability to focus on their core capabilities as well as to take advantage of better demand scalability, access to specialized skills, and cost benefits. An output-based pricing model, where the customers pay directly for the functionality that was delivered rather than the effort spent, is quickly becoming a new trend in IT outsourcing allowing to transfer the risk away from the customer while at the same time offering much better incentives for the supplier to optimize processes and improve efficiency, and consequently producing a true win-win outcome. Despite the widespread adoption of both agile practices and output-based outsourcing, there is little formal research available on how the two can be effectively combined in practice. Moreover, little practical guidance exists on how companies can measure the performance of their agile projects, which are being delivered in an output-based outsourced environment. This research attempted to shed light on this issue by developing a practical project monitoring framework which may be readily applied by organizations to monitor the performance of agile projects in an output-based outsourcing context, thus taking advantage of the combined benefits of such an arrangement Modified from action research approach, this research was divided into two cycles, each consisting of the Identification, Analysis, Verification, and Conclusion phases. During Cycle 1, a list of six Key Performance Indicators (KPIs) was proposed and accepted by the professionals in the studied multinational organization, which formed the core of the proposed framework and answered the first research sub-question of what needs to be measured. In Cycle 2, a more in-depth analysis was provided for each of the suggested Key Performance Indicators including the techniques for capturing, calculating, and evaluating the information provided by each KPI. In the course of Cycle 2, the second research sub-question was answered, clarifying how the data for each KPI needed to be measured, interpreted, and acted upon. Consequently, after two incremental research cycles, the primary research question was answered describing the practical framework that may be used for monitoring the performance of agile IT projects delivered in an output-based outsourcing context. This framework was evaluated by the professionals within the context of the studied organization and received positive feedback across all four evaluation criteria set forth in this research, including the low overhead of data collection, high value of provided information, ease of understandability of the metric dashboard, and high generalizability of the proposed framework.

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The main objective of this Master’s Thesis was to examine the interrelations of service quality and relationship quality (customer satisfaction, trust and commitment), and find out are they antecedents for customer loyalty in business-to-business context. Literature review revealed some research gaps concerning these focal concepts, which should be studied more closely. The theoretical basis for this research was collected for evaluating a strategic increase of customer’s perceptions of service quality and relationship quality as well as customer loyalty in business-to-business environment, and it was tested empirically in a sample of 164 corporate customers, who responded to the Internet-based survey. The measures, used in the survey, were first assessed by using confirmatory factor analysis (CFA), and then the hypothesized relationships were further verified using structural equation modeling (SEM) in LISREL 8.80. There was found support for a half of the hypothesized construct relations. The results of the research confirm the direct influence of trust and commitment on customer loyalty. Also, service quality turned out to have an indirect impact on customer loyalty through trust. No support, however, was offered for the proposed impact of customer satisfaction on loyalty in this case. The research provides managerially relevant and actionable results that may help service providers execute more specific customer relationship quality strategies that lead to higher customer loyalty.