This thesis is focused on topics of Business Intelligence, Balanced Scorecard and its implementation in agricultural company Novak Co. Both methods will be applied to section warehouse of spare parts. Warehouse by Novak Co. deals with provision of spare parts for own consumption and sale of spare parts to external customers. The thesis consists of theoretical and practical parts. Theoretical part deals with a description of essential ideas of BSC and BI. Practical part deals with examination of gained knowledge by implementation BSC and BI to warehouse by Novak Co.. To begin with, the first chapter is focused on Balanced Scorecard methodology. There is a description of principles BSC, description of company goals via four perspectives and the definition of strategic map. There are described basic principles of BI, multidimensionality, main components of BI application and a few definitions of BI from different sources in the second charter. In theoretical part, there are mentioned a few thesis, which deals with the same or similar subject, like this thesis. The practical part is focused on design of pilot project of BI solution for the warehouse of spare parts in the company Novak Co.. At first there was processed the analysis of BSC and the analysis of accessible resources in order to determine possibilities and requests for BI application. Based on requests there is designed the data warehouse, ETL tools and OLAP cubes. Reporting is carried out by MS Excel 2007. The Outputs of BI application are based on real company's requests. The main benefit of this thesis is to demonstrate the usability of BI tools and BSC methodology in section of warehouse of spare parts.

It is not uncommon to use unidimensional item response theory (IRT) models to estimate ability in multidimensional data. Therefore it is important to understand the implications of summarizing multiple dimensions of ability into a single parameter estimate, especially if effects are confounded when applied to computerized adaptive testing (CAT). Previous studies have investigated the effects of different IRT models and ability estimators by manipulating the relationships between item and person parameters. However, in all cases, the maximum information criterion was used as the item selection method. Because maximum information is heavily influenced by the item discrimination parameter, investigating a-stratified item selection methods is tenable. The current Monte Carlo study compared maximum information, a-stratification, and a-stratification with b blocking item selection methods, alone, as well as in combination with the Sympson-Hetter exposure control strategy. The six testing conditions were conditioned on three levels of interdimensional item difficulty correlations and four levels of interdimensional examinee ability correlations. Measures of fidelity, estimation bias, error, and item usage were used to evaluate the effectiveness of the methods. Results showed either stratified item selection strategy is warranted if the goal is to obtain precise estimates of ability when using unidimensional CAT in the presence of two-dimensional data. If the goal also includes limiting bias of the estimate, Sympson-Hetter exposure control should be included. Results also confirmed that Sympson-Hetter is effective in optimizing item pool usage. Given these results, existing unidimensional CAT implementations might consider employing a stratified item selection routine plus Sympson-Hetter exposure control, rather than recalibrate the item pool under a multidimensional model.

La conscience des troubles a un impact important sur la vie quotidienne des personnesatteintes de démence et de leurs proches. Bien qu’il s’agisse d’un élément problématique dans leparcours de soin, un consensus autour des facteurs responsables et de la variation de saprésentation n’a pas pu être établi. Cette thèse cherche à identifier les caractéristiques et lesmécanismes de la conscience des troubles en lien avec la symptomatologie démentielle : lestroubles cognitifs, affectifs et d’autonomie. L’anosognosie est évaluée spécifiquement grâce à laméthode des écarts entre des mesures issues d’auto-évaluations (prédictions de performances etestimations personnelles) et celles issues d’hétéro-évaluations (tests objectifs et proches-aidants).Une première étude avait pour objectif d’expliciter la nature de l’anosognosie cognitive et savariabilité selon le stade de la maladie d’Alzheimer. L’anosognosie pour le fonctionnementcognitif global ainsi que pour tous les processus évalués au travers de la Dementia Rating Scale(DRS) augmente avec la sévérité de la démence. A contrario, l’anosognosie des troubles mnésiquesne suit pas la dégradation cognitive, créant un clivage avec la conscience des troubles des autresprocessus cognitifs. Ces résultats confirment l’hétérogénéité de l’anosognosie et sa variabilitéselon le stade de la maladie. Des outils objectivant des processus plus purs permettraient despécifier les liens entre troubles cognitifs et anosognosie ce que nous avons réalisé dans unedeuxième étude. Des facteurs cognitifs (tests neuropsychologiques) et non cognitifs (anxiété,indépendance fonctionnelle) sont corrélés significativement à tous les scores d’anosognosiecognitive. Chaque score d’anosognosie est prédit par un ensemble de variables qui lui estspécifique : trois scores par un modèle de régression purement cognitif et un score incluant desfacteurs cognitifs et non cognitifs. Nos résultats mettent en évidence le rôle majeur d’un déficitdysexécutif et l’implication de variables non cognitives, confirmant le caractère multifactoriel del’anosognosie. Enfin, une troisième étude investiguait l’anosognosie concernant la perte d’indépendancefonctionnelle via l’échelle ADL. L’intensité de l’anosognosie était significativement comparableentre les groupes vivant à domicile et en EHPAD. La sévérité des troubles cognitifs n’expliquepas directement la présence de cette forme d’anosognosie. De plus, les sous-dimensions del’échelle ADL sont affectées différemment par l’anosognosie, certaines étant préservées etd’autres non. Ces résultats soutiennent l’idée que l’anosognosie est un phénomène à la foismultidimensionnel qui existe hors de la sphère cognitive, et hétérogène qui varie d’une sousdimensionà une autre.Ces travaux vont dans le sens d’une hétérogénéité de l’anosognosie et ce quels que soientl’objet de conscience ou les stades de la démence considérés. L’influence de variables cognitiveset non cognitives suggère une étude plus systématique de leurs rôles respectifs et la nécessitéd’étudier l’anosognosie dans une perspective exhaustive. La conception en tant que phénomènede la conscience de soi en neurologie sera questionnée, puis préférée à celle de symptôme, autravers d’une nouvelle modélisation. Envisager l’anosognosie comme un déficit d’une partie duSelf offre des pistes de remédiation grâce aux éléments non altérés du Self mais également lapossibilité de considérer chaque personne comme un être conscient et en capacité d’agir face à sa maladie. / Awareness of deficits has a significant impact on the daily lives of people with dementia andtheir relatives. While it represents a problematic element in patients’ care path,there is still noconsensus as to its etiological factors and the variability in its presentation. This thesis aims toidentify the cognitive, affective and autonomic mechanisms associated with disorder awarenessimpairment in dementia. This thesis seeks to identify the characteristics and disorder awarenessmechanisms related to the dementia symptomatology: cognitive, affective and autonomicdisorders. Anosognosia is evaluated using the discrepancies method between measurements takenfrom self-assessment (performance predictions and personal estimates) and hetero-evaluationsscales (objective and caregiver tests).A first study aimed to explain the nature of cognitive anosognosia and its variability accordingto Alzheimer's disease stage. Anosognosia for overall cognitive functioning as well as for allprocesses evaluated through the Dementia Rating Scale (DRS) increases with the severity ofdementia. Conversely, anosognosia of memory disorders did not follow cognitive degradation,creating a cleavage with the anosognosia of other cognitive processes. These results confirm theheterogeneity of anosognosia and its variability according to the stage of the disease.The links between cognitive disorders and anosognosia were then quantified in a secondstudy. Cognitive (neuropsychological tests) and non-cognitive factors (anxiety, functionalindependence) turned out to be significantly correlated with all cognitive anosognosia scores.Each anosognosia score was predicted by a specific set of variables: three scores by a purelycognitive regression model and one score by cognitive and non-cognitive factors. Our resultshighlight the major role of dysexecutive deficits and the involvement of non-cognitive variables,confirming anosognosia’s multifactorial character. Finally, a third study investigated anosognosia for the loss of functional independence usingthe ADL scale. The intensity of anosognosia was significantly comparable between the groupsliving at home and in nursing homes. The severity of cognitive disorders did not directly explainthe presence of this form of anosognosia. Additionally, the ADL scale's sub-dimensions weredifferentially affected by anosognosia, some being preserved while others were not. These resultssupport the idea that anosognosia is a multidimensional and heterogeneous phenomenon thatexists outside of the cognitive sphere, and which varies from one subdimension to another.This work suggests that anosognosia is a heterogeneous construct irrespective of the object ofconsciousness or stages of dementia. The influence of cognitive and non-cognitive variablespoints to the need for a more systematic study of their respective roles and the need to studyanosognosia from comprehensive perspective. Anosognosia as self-awareness’ phenomenon inneurology is discussed and a new modelling strategy is proposed to assess its advantages over asymptom-based framework. Considering anosognosia as a deficit of parts of the Self points topossible remedial paths through the unimpaired elements of the Self but also to the possibility ofconsidering each person as a conscious being capable of acting in the face of his disease.

Thesis advisor: Andrew Jorgenson / Global climate change is among the greatest crises facing humanity in the 21st century. Mitigating the impacts of climate change requires a substantial reduction in global greenhouse gas emissions by 2030. Despite the urgency, climate actions are lacking in many nations. A rich body of cross-national research on human drivers of emissions is devoted to identifying effective leverage points for emission abatement, which primarily focuses on aggregate emission measures such as production-based accounts and consumption-based accounts. However, a nation’s carbon-emitting activities are not monolithic, but can instead be classified into distinct components based on important characteristics such as the supply chain stage to which they belong. These emission components likely have heterogeneous relationships with certain anthropogenic drivers or mitigation measures. Yet, analyses using aggregate emission measures are unable to detect such heterogeneity or inform the unique strategy that might be required to effectively mitigate each emission component. I address this gap using the three empirical chapters of this dissertation. In the first empirical chapter, I propose an analytical framework of Multidimensional Emissions Profile (MEP), which situates nations’ contributions to global greenhouse gas emissions into four distinct components: (1) emissions generated by domestic-oriented supply chain activities; (2) emissions embodied in imports; (3) emissions embodied in exports; and (4) direct emissions of end user activities. I then apply the MEP framework to analyze the relationships between national affluence and the four emission components for 34 high-income nations. I find that as these nations grow wealthier, affluence is increasingly decoupled from direct emissions of end user activities but remains positively associated with the other three emission components in various ways. The findings suggest that emission-suppressing mechanisms associated with growing affluence are effective in mitigating direct end user emissions—typically the smallest component—but not the other three emission components. Therefore, high-income nations should prioritize mitigating emissions generated by supply chain activities outside the end use stage. The second empirical chapter is an examination of how renewable energy deployment is related to these emission components in high-income nations. I find that renewable energy deployment mitigates emissions by domestic-oriented supply chain activities, and with increasing effectiveness over time; yet it remains ineffective in curbing the other three emission components, indicating the existence of structural barriers that prevent the decarbonization effect of renewables from spilling over to these three emission components. These barriers must be overcome in order to achieve the full decarbonization potential of renewable energy deployment. In the third empirical chapter, I investigate the time-varying relationships between domestic income inequality and the four emission components, in order to unpack the multiple pathways linking income inequality to emissions. The results suggest that the relationships change over time, vary across emission components, and differ between measures of income inequality, which indicate variations in the causal pathways, both over time and across emission components. The findings from all three empirical chapters support the validity of the MEP framework. The relationships between greenhouse gas emissions and national affluence, renewable energy deployment, and domestic income inequality are multidimensional: these anthropogenic forces curb some emission components but spur others. Climate policies targeting these anthropogenic forces should optimize their decarbonization benefits while neutralizing the mechanisms through which they drive growth in emissions. / Thesis (PhD) — Boston College, 2022. / Submitted to: Boston College. Graduate School of Arts and Sciences. / Discipline: Sociology.

Coaches play a central role in shaping the sport environment for young athletes. This thesis is focused on the leadership process in sports and how coaches’ autonomy-supportive and controlling interpersonal styles longitudinally are related to young athletes’ motivation and ill- and well-being. The aim is also to examine psychometric multidimensionality in measures of coaches’ need-supportive and controlling interpersonal styles. Questionnaire data from young athletes were used in the empirical studies. In Study 1, we examined an adaptive motivational process (i.e., longitudinal associations between autonomy support, need satisfaction, self-determined motivation, and well-being). The results showed that within-person changes in perceived autonomy support, need satisfaction, self-determined motivation, and well-being were all positively correlated. Higher self-determined motivation and well-being early in the season longitudinally predicted higher levels of perceived autonomy support from the coach. Higher self-determined motivation was also a positive predictor of within-person changes in perceived autonomy support and well-being over the season. In Study 2, we examined a maladaptive motivational process (i.e., longitudinal associations between coaches’ controlling behaviors, controlled motivation, and ill-being). The findings demonstrated that athletes who perceived their coach as more controlling reported higher controlled motivation at the end of the season and that higher controlled motivation early in the season predicted higher ill-being at the end of the season. Controlled motivation was also a positive predictor of athletes’ perceptions of coaches’ controlling behaviors at the within-person level. Study 1 and 2 suggest that individual factors (e.g., motivation and well-being) seemed to function as important determinants of how athletes perceived their coach and future research should explore the underlying mechanisms through which these processes occur. In Study 3, we examined psychometric multidimensionality in measures of athletes’ perceptions of coaches’ need-supportive (Interpersonal Supportiveness Scale-Coach [ISS-C]) and controlling (Controlling Coach Behaviors Scale [CCBS]) interpersonal styles. The analyses indicated that the ISS-C is not multidimensional; it appears to comprise a single factor. Three of the four subscales of the CCBS appear to share a common core, whereas the fourth subscale (i.e., controlling use of rewards) seems to represent a slightly different aspect of a controlling interpersonal style. These results bring into question the multidimensionality in measures of athletes’ perceptions of coaches’ interpersonal styles. Neither measure displayed a coherent multidimensional pattern, indicating a need for better alignment between theory and measurement.

This study examined the feasibility of using Rasch true score preequating under violated model assumptions and nonequivalent populations. Dichotomous item responses were simulated using a compensatory two dimensional (2D) three parameter logistic (3PL) Item Response Theory (IRT) model. The Rasch model was used to calibrate difficulty parameters using two methods: Fixed Parameter Calibration (FPC) and separate calibration with the Stocking and Lord linking (SCSL) method. A criterion equating function was defined by equating true scores calculated with the generated 2D 3PL IRT item and ability parameters, using random groups equipercentile equating. True score preequating to FPC and SCSL calibrated item banks was compared to identity and Levine's linear true score equating, in terms of equating bias and bootstrap standard errors of equating (SEE) (Kolen & Brennan, 2004). Results showed preequating was robust to simulated 2D 3PL data and to nonequivalent item discriminations, however, true score equating was not robust to guessing and to the interaction of guessing and nonequivalent item discriminations. Equating bias due to guessing was most marked at the low end of the score scale. Equating an easier new form to a more difficult base form produced negative bias. Nonequivalent item discriminations interacted with guessing to magnify the bias and to extend the range of the bias toward the middle of the score distribution. Very easy forms relative to the ability of the examinees also produced substantial error at the low end of the score scale. Accumulating item parameter error in the item bank increased the SEE across five forms. Rasch true score preequating produced less equating error than Levine's true score linear equating in all simulated conditions. FPC with Bigsteps performed as well as separate calibration with the Stocking and Lord linking method. These results support earlier findings, suggesting that Rasch true score preequating can be used in the presence of guessing if accuracy is required near the mean of the score distribution, but not if accuracy is required with very low or high scores.

This thesis deals with corporate management and measurement of strategic business performance. The main object of this thesis is to design a system for strategic management of service organization and try to apply this model in environment of chosen service. Balanced Scorecard methodology was used to achieve this objective and the metric model and strategy map of service organization is based on its principles. The first part of the thesis is aimed at theoretical aspects of corporate management and measurement of strategic business performance, so it focused on Balanced Scorecard, Business Intelligence and Corporate performance management. This part provides theoretical framework for the next part of this thesis. The next part deals with applicability of theoretical concepts at chosen service company. The objective was to implement some metrics originating from the previously constructed metric model using Business Intelligence. The outputs of this part are metric model depicted in the form of strategy map and management reports in form of graphs and tables that monitor the business performance through chosen metrics.

The thesis concerns with measurement of processes of support and maintenance of a specialized information system for petrol stations. It is a system for support of retail sale of fuel and other non-fuel goods. As the main objective of the thesis was selected design of set of metrics for measurement of these processes based on multidimensionality principle. It means that dimensions and indicators are designed separately and a set of recommended metrics is based on their combinations. It is possible to get additional metrics using other combinations. The theoretical basis of the thesis is the ITIL library -- which is an internationally respected standard for IT service management -- and metrics designed in other literature and diploma theses. The designed metrics are adapted for the analyzed environment and service information system, however, they should be usable in other environments as well. Selected metrics were implemented to the service information system and measured in a relatively wide sample of input data. This allowed evaluating usability of the metrics and comparison of the threshold values with the measured ones. The relationship of metrics and service agreements (SLAs) is described in the end of the thesis. Specific metrics suitable to be incorporated to SLA were designed including a real-life example.

The thesis deals with problems of the IS/ICT innovation strategic management in the surroundings of the Czech Republic and participates in solutions to the three-year research project GA201/08/663 -- Information systems innovation to support competitiveness of enterprises. This project has been realized at the Faculty of Information Science and Statistics at the University of Economics, Prague in support of the Czech Science Foundation since 1st January 2008. Thesis sequence to the project consists in filling of particular priorities defined for 1st year of research. Of course this fact represents determining aspect of thesis main goals definition. Firstly, carry out a research on actual level of information systems in Czech enterprises forcefully into the IS/ICT innovation. Secondly, set up working paper for presentation of continuous outcomes after the introductory phase by appearances at scientific conferences, by articles in scientific papers and by findings'publication at a website of the Czech Society for System Integration. Structure of the thesis, which consists of a theoretical and a practical part, specifies methods of goals'filling. The theoretical part represents introduction to problems -- it covers identification of key elements influencing IS/ICT innovation in surrounding of the modern knowledge economy, IS/ICT innovation classification and detailed statement of IS/ICT innovation management process, which is based on methods of strategic management process in general. The practical part gives attention to questionnaire research -- structure of the questionnaire, research methodology and answer evaluation. Contribution of the thesis, together with filling of particular goals of the research project GA201/08/663 -- Information systems innovation to support competitiveness of enterprises, consists in multidimensional view of the specific problems. IS/ICT innovation is seen not only from an enterprise informatics point of view, but also from an entire enterprise angle when economic aspect is also taken into account. This approach accents support task of informatics -- the IS/ICT contribute to the filling of enterprise's goals.

This diploma thesis deals with the analysis and evaluation of one of the most important Business Intelligence platform in the BI market -- SAP NetWeaver Business Intelligence 2004s. The main objective of the analysis is to provide reader with very comprehensive theoretical and practical platform overview that is based among others on valuable implementation of SAP NetWeaver BI sample application. The sample application not only allows better understanding of the platform, but also provides significant inputs to evaluation final phase. This evaluation is based on a metric system, which is defined as a part of this thesis as well. The evaluation result is then, apart from the quantitative quality interpretation of analyzed platform, included in a quality comparison (some areas) with BI platforms Oracle and Open Source Pentaho, whose evaluation and comparison have been made in diploma thesis [VÁLEK, 2008]. At the end of this thesis is then provided an overview of SAP NetWeaver Business Intelligence 2004s strengths and weaknesses.