Kuoleman voimat : Kirkonväki suomalaisessa uskomusperinteessä

Powers of Death. Church-väki in the Finnish Folk Belief Tradition Folk belief tradition can be defined as a communication system in which the truth value of traditional motifs is judged by their usefulness and applicability. According to the Finnish belief tradition, a substance of power called väki resides in sacred elements and in entities which vitally affect human life. Väki is both ritually avoided and harnessed for beneficial or malevolent purposes. The powers of church and death merge in church-väki, which, in beliefs and narratives, emerges when the boundary between the living and the dead is crossed or violated. In rural societies where the relationship to the dying and the deceased was close, the church-väki tradition was relevant and productive. This study is based on approximately 2700 units of archived material from thel late 19th and early 20th centuries narratives, rite descriptions, and linguistic data. It explicates the concept of church-väki, presents the background of the tradition, and analyses narratives, their meanings, and their role in early modern world view. It also explores how the concept was used when constructing social boundaries and handling otherness in the early modern Finland. The theoretic emphasis is on conceptual and genre analysis, narrativity, as well as the multiple meanings and uses of folklore motifs. Descriptions of church-väki vary from it being an invisible force to a crowd of beings and decomposing corpses. The author defines church-väki as a fuzzy concept with three prototypical cores and several names, most of which are polysemous. Polysemous words connect church-väki with for example ghosts and devils, unkempt people, and vermin, constructing a loose paradigm of supernatural and social otherness. Folklore genres of the studied narratives range from stories of personal experience to fabulates. The taleworlds and their content range from realistic (near) to extraordinary (distant). The distance between the taleworld and reality has concrete (local and temporal), narrative, and normative aspects. Distant taleworlds often follow an ontology different than in real life, although the narratives may be carefully linked to reality. Instead of being fictive, they show what would be expected outside the socially constructed everyday order. Methods of narratology are applied to coherent legends, which locate dramatic events in distant taleworlds. Linguistic genres, based on structure, function here as narrative registers of folklore genres.

Drivers of ERP Systems´ Business Value

ERP system implementations have evolved so rapidly that now they represent a must-have within industries. ERP systems are viewed as the cost of doing business. Yet, the research that adopted the resource-based view on the business value of ERP systems concludes that companies may gain competitive advantage when they successfully manage their ERP projects, when they carefully reengineer the organization and when they use the system in line with the organizational strategies. This thesis contributes to the literature on ERP business value by examining key drivers of ERP business value in organizations. The first research paper investigates how ERP systems with different degrees of system functionality are correlated with the development of the business performance after the completion of the ERP projects. The companies with a better perceived system functionality obtained efficiency benefits in the first two years of post-implementation. However, in the third year there is no significant difference in efficiency benefits between successfully and less successfully managed ERP projects. The second research paper examines what business process changes occur in companies implementing ERP for different motivations and how these changes impact the business performance. The findings show that companies reported process changes mainly in terms of workflow changes. In addition, the companies having a business-led motivation focused more on observing average costs of each increase in the input unit. Companies having a technological-led motivation focused more on the benefits coming from the fit of the system with the organizational processes. The third research paper considers the role of alignment between ERP and business strategies for the realization of business value from ERP use. These findings show that strategic alignment and business process changes are significantly correlated with the perceived benefits of ERP at three levels: internal efficiency, customers and financial. Overall, by combining quantitative and qualitative research methods, this thesis puts forward a model that illustrates how successfully managed ERP projects, aligned with the business strategy, have automate and informate effects on processes that ultimately improve the customer service and reduce the companies’ costs.

Customer Value Formation in Practice: A Practice-Theoretical Approach

This thesis introduces a practice-theoretical approach to understanding customer value formation to be used in the field of service marketing and management. In contrast to current studies trying to understand value formation by analysing customers as independent actors and thinkers, it is in this work suggested that customer value formation can be better understood by analysing how value is formed in the practices and contexts of the customers. The theoretical approach developed in this thesis is applied in an empirical study of family cruises. The theoretical analysis in this thesis results in a new approach for understanding customer value formation. Customer value is, according to this new approach, something that is formed in practice, meaning that value is formed in constellations of the customer and contextual elements like tools, physical spaces and contextually embedded images and know-how. This view is different from the current views that tend to see value as subjectively created, co-created, perceived or experienced by the customer. The new approach has implications on how we view customer value, but also on the methods and techniques we can use to understand customer value in empirical studies. It is also suggested that services could in fact be reconceptualised as practices. According to the stance presented in this thesis the empirical analysis of customer value should not focus on individual customers, but should instead take the contextual entity of practices as its unit of analysis. Therefore, ethnography is chosen as a method for exploring how customer value is formed in practice in the case of family cruises on a specific cruise vessel. The researcher has studied six families, as well as the context of the cruise vessel with various techniques including non-participant observation, participant observation and interviews in order to create an ethnographic understanding of the practices carried out on board. Twenty-one different practices are reported and discussed in order to provide necessary insight to customer value formation that can be used as input for service development.

Perceived Value of Mobile Service Use and its Consequences

The thesis is positioned in the services marketing field. Previous mobile service research has identified perceived value or relative advantage as a stable predictor of use of services. However, a more detailed view of what customers value in mobile services is needed for marketing diverse types of mobile content and attracting committed customers. The direct relationships between multidimensional value and loyalty constructs have received limited attention in the previous literature, although a multidimensional view is needed for differentiating services. This thesis studies how perceived value of mobile service use affects customer commitment, repurchase intentions, word-of-mouth and willingness to pay. The doctoral thesis consists of three journal articles and one working paper. The four papers have different sub-aims and comprise individual empirical studies. Mixed methods including both personal interviews and survey data collected from end-users of different types of mobile content services are used. The conceptual mobile perceived value model that results from the first explorative empirical study supports a six- dimensional value view. The six dimensions are further categorized into two higher order constructs: content-related perceived value (emotional, social, convenience and monetary value) and context-related (epistemic and conditional value) perceived value. Structural equation modeling is used in the other three studies to validate this framework by analyzing the relationships between context- and content-related value, and how the individual perceived value dimensions affect commitment and behavioral outcomes. Analyzing the direct relationships revealed differences in the effect of perceived value dimensions between information and entertainment mobile service user groups, between effects on commitment, repurchase intentions and word-of-mouth intentions, as well as between effects on commitment to the provider and to the mobile channel as such. This thesis contributes to earlier perceived value literature by structuring the value dimensions into two groups. Most importantly, the thesis contributes to the value and loyalty literature by increasing understanding of how the different dimensions of perceived value directly affect commitment and post-purchase intentions. The results have implications for further theory development in the electronic services field using multidimensional latent constructs, and practical implications for enhancing commitment to content provider and for differentiated marketing strategies in the mobile field. The general conclusion of this thesis is that differentiated value-based marketing of mobile services is essential for attracting committed customers who will use the same providers’ content also in the future. Minna Pihlström is associated with the Centre for Relationship Marketing and Service Management (CERS) at Hanken.

An Empirical Investigation of Value-at-Risk in Long and Short Trading Positions

This paper uses the Value-at-Risk approach to define the risk in both long and short trading positions. The investigation is done on some major market indices(Japanese, UK, German and US). The performance of models that takes into account skewness and fat-tails are compared to symmetric models in relation to both the specific model for estimating the variance, and the distribution of the variance estimate used as input in the VaR estimation. The results indicate that more flexible models not necessarily perform better in predicting the VaR forecast; the reason for this is most probably the complexity of these models. A general result is that different methods for estimating the variance are needed for different confidence levels of the VaR, and for the different indices. Also, different models are to be used for the left respectively the right tail of the distribution.

Comparative study on damage identification from lso-Eigen-Value-Change contours and smeared damage model

The paper proposes two methodologies for damage identification from measured natural frequencies of a contiguously damaged reinforced concrete beam, idealised with distributed damage model. The first method identifies damage from Iso-Eigen-Value-Change contours, plotted between pairs of different frequencies. The performance of the method is checked for a wide variation of damage positions and extents. The method is also extended to a discrete structure in the form of a five-storied shear building and the simplicity of the method is demonstrated. The second method is through smeared damage model, where the damage is assumed constant for different segments of the beam and the lengths and centres of these segments are the known inputs. First-order perturbation method is used to derive the relevant expressions. Both these methods are based on distributed damage models and have been checked with experimental program on simply supported reinforced concrete beams, subjected to different stages of symmetric and un-symmetric damages. The results of the experiments are encouraging and show that both the methods can be adopted together in a damage identification scenario.

Reliability models for existing structures based on dynamic state estimation and data based asymptotic extreme value analysis

The problem of time variant reliability analysis of existing structures subjected to stationary random dynamic excitations is considered. The study assumes that samples of dynamic response of the structure, under the action of external excitations, have been measured at a set of sparse points on the structure. The utilization of these measurements m in updating reliability models, postulated prior to making any measurements, is considered. This is achieved by using dynamic state estimation methods which combine results from Markov process theory and Bayes' theorem. The uncertainties present in measurements as well as in the postulated model for the structural behaviour are accounted for. The samples of external excitations are taken to emanate from known stochastic models and allowance is made for ability (or lack of it) to measure the applied excitations. The future reliability of the structure is modeled using expected structural response conditioned on all the measurements made. This expected response is shown to have a time varying mean and a random component that can be treated as being weakly stationary. For linear systems, an approximate analytical solution for the problem of reliability model updating is obtained by combining theories of discrete Kalman filter and level crossing statistics. For the case of nonlinear systems, the problem is tackled by combining particle filtering strategies with data based extreme value analysis. In all these studies, the governing stochastic differential equations are discretized using the strong forms of Ito-Taylor's discretization schemes. The possibility of using conditional simulation strategies, when applied external actions are measured, is also considered. The proposed procedures are exemplifiedmby considering the reliability analysis of a few low-dimensional dynamical systems based on synthetically generated measurement data. The performance of the procedures developed is also assessed based on a limited amount of pertinent Monte Carlo simulations. (C) 2010 Elsevier Ltd. All rights reserved.

Reducing the babel in plant volatile communication: using the forest to see the trees

While plants of a single species emit a diversity of volatile organic compounds (VOCs) to attract or repel interacting organisms, these specific messages may be lost in the midst of the hundreds of VOCs produced by sympatric plants of different species, many of which may have no signal content. Receivers must be able to reduce the babel or noise in these VOCs in order to correctly identify the message. For chemical ecologists faced with vast amounts of data on volatile signatures of plants in different ecological contexts, it is imperative to employ accurate methods of classifying messages, so that suitable bioassays may then be designed to understand message content. We demonstrate the utility of `Random Forests' (RF), a machine-learning algorithm, for the task of classifying volatile signatures and choosing the minimum set of volatiles for accurate discrimination, using datam from sympatric Ficus species as a case study. We demonstrate the advantages of RF over conventional classification methods such as principal component analysis (PCA), as well as data-mining algorithms such as support vector machines (SVM), diagonal linear discriminant analysis (DLDA) and k-nearest neighbour (KNN) analysis. We show why a tree-building method such as RF, which is increasingly being used by the bioinformatics, food technology and medical community, is particularly advantageous for the study of plant communication using volatiles, dealing, as it must, with abundant noise.

Nonlinear programming solutions for controlling the vibration pattern of stretched strings

The problem of controlling the vibration pattern of a driven string is considered. The basic question dealt with here is to find the control forces which reduce the energy of vibration of a driven string over a prescribed portion of its length while maintaining the energy outside that length above a desired value. The criterion of keeping the response outside the region of energy reduction as close to the original response as possible is introduced as an additional constraint. The slack unconstrained minimization technique (SLUMT) has been successfully applied to solve the above problem. The effect of varying the phase of the control forces (which results in a six-variable control problem) is then studied. The nonlinear programming techniques which have been effectively used to handle problems involving many variables and constraints therefore offer a powerful tool for the solution of vibration control problems.

Why Don't Students Talk? Causes of Foreign Language Communication Apprehension in English Classes: A Comparison of High Apprehensive and Low Apprehensive Upper Secondary Students.

OBJECTIVES. Oral foreign language skills are an integral part of one's social, academic and professional competence. This can be problematic for those suffering from foreign language communication apprehension (CA), or a fear of speaking a foreign language. CA manifests itself, for example, through feelings of anxiety and tension, physical arousal and avoidance of foreign language communication situations. According to scholars, foreign language CA may impede the language learning process significantly and have detrimental effects on one's language learning, academic achievement and career prospects. Drawing on upper secondary students' subjective experiences of communication situations in English as a foreign language, this study seeks, first, to describe, analyze and interpret why upper secondary students experience English language communication apprehension in English as a foreign language (EFL) classes. Second, this study seeks to analyse what the most anxiety-arousing oral production tasks in EFL classes are, and which features of different oral production tasks arouse English language communication apprehension and why. The ultimate objectives of the present study are to raise teachers' awareness of foreign language CA and its features, manifestations and impacts in foreign language classes as well as to suggest possible ways to minimize the anxiety-arousing features in foreign language classes. METHODS. The data was collected in two phases by means of six-part Likert-type questionnaires and theme interviews, and analysed using both quantitative and qualitative methods. The questionnaire data was collected in spring 2008. The respondents were 122 first-year upper secondary students, 68 % of whom were girls and 31 % of whom were boys. The data was analysed by statistical methods using SPSS software. The theme interviews were conducted in spring 2009. The interviewees were 11 second-year upper secondary students aged 17 to 19, who were chosen by purposeful selection on the basis of their English language CA level measured in the questionnaires. Six interviewees were classified as high apprehensives and five as low apprehensives according to their score in the foreign language CA scale in the questionnaires. The interview data was coded and thematized using the technique of content analysis. The analysis and interpretation of the data drew on a comparison of the self-reports of the highly apprehensive and low apprehensive upper secondary students. RESULTS. The causes of English language CA in EFL classes as reported by the students were both internal and external in nature. The most notable causes were a low self-assessed English proficiency, a concern over errors, a concern over evaluation, and a concern over the impression made on others. Other causes related to a high English language CA were a lack of authentic oral practise in EFL classes, discouraging teachers and negative experiences of learning English, unrealistic internal demands for oral English performance, high external demands and expectations for oral English performance, the conversation partner's higher English proficiency, and the audience's large size and unfamiliarity. The most anxiety-arousing oral production tasks in EFL classes were presentations or speeches with or without notes in front of the class, acting in front of the class, pair debates with the class as audience, expressing thoughts and ideas to the class, presentations or speeches without notes while seated, group debates with the class as audience, and answering to the teacher's questions involuntarily. The main features affecting the anxiety-arousing potential of an oral production task were a high degree of attention, a large audience, a high degree of evaluation, little time for preparation, little linguistic support, and a long duration.

”Waxaa i bartay hooyaday waawa u muhiim naaska caruurta.” Äitini opetti, että rintamaito on tärkeää lapselle. Osallistava tutkimus auktoritatiivisen tiedon omaksumisesta somalikulttuuritaustaisten naisten imetyskäytännöissä.

Suomessa asuvat somalitaustaiset maahanmuuttajaäidit luopuvat imetyksestä ja ruokkivat vauvojaan äidinmaidonkorvikkeella, vaikka somalikulttuurissa arvostetaan imetystä. Tuen ja tiedon puutetta on arveltu syyksi pulloruokinnan yleisyyteen. Tarkoituksenani on tutkia osallistavia menetelmiä käyttäen, minkälaisia imetykseen liittyviä tietojärjestelmiä somaliäidit pitävät auktoritatiivisina eli arvovaltaisina. Tarkastelen tiedon auktoritatiivisuutta etnografisten esimerkkien valossa hyödyntäen Brigitte Jordanin auktoritatiivisen tiedon käsitettä. Tutkin Jean Pierre Olivier de Sardanin teorian avulla, kuinka paikalliset populaarit tietojärjestelmät kohtaavat tieteellis-teknisen tiedon kehityksen kontekstissa. Tutkin myös, kuinka somaliäitien imetystietojärjestelmät kohtaavat suomalaisen terveydenhoitojärjestelmän edustaman imetystiedon. Osallistavien menetelmien tarkoituksena on saada heikkojen ja sorrettujen yhteisöjen ääni kuuluviin. Tutkimukseni tiedonantajina on seitsemäntoista somalimaahanmuuttajaäitiä ja yksi suomalainen äitiys- ja lastenneuvolan terveydenhoitaja. Käytän tiedonkeruumenetelminä puolistrukturoituja teemahaastatteluja, jonka lisäksi teen osallistuvaa havainnointia ja osallistavia menetelmiä kolmessa ryhmähaastattelutilanteessa. Käytän Rapi Rurad Appraisal (RRA) –menetelmiä, kuten Venn-diagrammia ja pisteytystä. Tutkimukseni tulos on, että somaliäitien imetykseen liittyvä tieto koostuu kolmesta tietojärjestelmästä, joita ovat sukuverkostoista tuleva perinteinen tietotaito, islaminuskon terveystieto sekä suomalaisen terveydenhoitojärjestelmän tieto. Näistä eri tietolähteistä tuleva imetystieto ei ole sisällöltään ristiriidassa. Imetykseen liittyvät vaikeudet ovat käytännön ongelmiin, kuten sukuverkoston hajoamiseen ja suomalaisen terveydenhoitojärjestelmän kanssa kommunikointiin liittyviä.

Weighted subspace methods and spatial smoothing: analysis and comparison

The effect of using a spatially smoothed forward-backward covariance matrix on the performance of weighted eigen-based state space methods/ESPRIT, and weighted MUSIC for direction-of-arrival (DOA) estimation is analyzed. Expressions for the mean-squared error in the estimates of the signal zeros and the DOA estimates, along with some general properties of the estimates and optimal weighting matrices, are derived. A key result is that optimally weighted MUSIC and weighted state-space methods/ESPRIT have identical asymptotic performance. Moreover, by properly choosing the number of subarrays, the performance of unweighted state space methods can be significantly improved. It is also shown that the mean-squared error in the DOA estimates is independent of the exact distribution of the source amplitudes. This results in a unified framework for dealing with DOA estimation using a uniformly spaced linear sensor array and the time series frequency estimation problems.

Finite data performance of MUSIC and minimum norm methods

In the direction of arrival (DOA) estimation problem, we encounter both finite data and insufficient knowledge of array characterization. It is therefore important to study how subspace-based methods perform in such conditions. We analyze the finite data performance of the multiple signal classification (MUSIC) and minimum norm (min. norm) methods in the presence of sensor gain and phase errors, and derive expressions for the mean square error (MSE) in the DOA estimates. These expressions are first derived assuming an arbitrary array and then simplified for the special case of an uniform linear array with isotropic sensors. When they are further simplified for the case of finite data only and sensor errors only, they reduce to the recent results given in [9-12]. Computer simulations are used to verify the closeness between the predicted and simulated values of the MSE.