This diploma thesis deal with benefits of information systems (IS) in companies. It contains of theoretical and practical parts. The main goals of this thesis are to analyze the real information system in SUDOP PRAHA a.s. company and to draw up changeovers in this system and its driving with the main focus to raise benefits of IS. The nearby goals in theoretical part are: to identify the main potential benefits which can be reached using IS and to identify conditions and limitations to which companies have to impeach and which are crucial to maximize the benefits of IS. Theoretical part goes from available literature and electronic resources analysis. Practical part is based on consultations with SUDOP PRAHA a.s. employees and on information provided by developers of their information systems. The benefit of my diploma thesis is in the problematic parts of IS in SUDOP PRAHA a.s. identification. When the company eliminates these problems and enlarge its IS in the parts I suggest, their benefits of this IS should rise. These recommendations are definitely applicable to other specific information systems in nonmanufacturing companies, mainly design, consulting and engineering companies. This thesis could work as the base view of information systems and their driving issue. This fast view is useful for organizations, which haven't any information system yet or whose information system doesn't work great.

M.A. (Social Work) / The research resulted from the lack of reliable and valid measurement instruments on community functioning. Operationalization of community functioning is complicated by the general character of widely used theories es related to communities in South Africa. Measurement is severely hampered by insufficient conceptualization. In the exploration of social service theory, the Living System Theory was selected as the theoretical underpinning for the research. Living System Theory offers a framework for processes and structures to critically and systematically describe, analyse, explain and interpret communities. Operationalization of community functioning was greatly expedited by the selection of the Living System Theory in view of its detailed description and universal character. In this study the term community from the Living System Theory, is conceptualized to In new synthesis and is also analysed systematically. In the systematic analyses of a community it was concluded that six relevant assessment areas occur in community context, namely: physical structures; transport; communication; decision-making; policy; and product/service. All six identified assessment areas were analysed systematically, but for the purposes of this study only decision-making was operationalized...

As a discipline, information systems (IS) has struggled with the challenge of alignment of product (primarily software and the infrastructure needed to run it) with the needs of the organization it supports. This has been characterized as the pursuit of alignment of information technology (IT) with the business or organization, which begins with the gathering of the requirements of the organization, which then guide the creation of the IS requirements, which in turn guide the creation of the IT solution itself. This research is primarily focused on developing and validating an instrument to operationalize such requirements capabilities. Requirements capabilities at the development of software or the implementation of a specific IT solution are referred to as capabilities for software requirements or more commonly systems analysis and design (SA&D) capabilities. This research describes and validates an instrument for SA&D capabilities for content validity, construct validity, internal consistency, and an exploratory factor analysis. SA&D capabilities were expected to coalesce strongly around a single dimension. Yet in validating the SA&D capabilities instrument, it became apparent that SA&D capabilities are not the unidimensional construct traditionally perceived. Instead it appears that four dimensions underlie SA&D capabilities, and these are associated with alignment maturity (governance, partnership, communications, and value). These sub factors of requirements capabilities are described in this research and represent distinct capabilities critical to the successful alignment of IT with the business.

The diploma thesis deals with the application of the risk analysis method for environmental impact assessment of a business entity. In the introduction of the theoretical part, an environmental review is carried out, focusing on the approach of the Slovak Republic, followed by theoretical background on environmental management, and in the end of the first part there is a survey of risk identification methods. The analytical part presents the system of environmental management in the company. After evaluating the current state, the thesis proposes its own proposals as preventive measures, which contribute to more effective management of environmental pollution risk.

This thesis discusses the coupling of a mechanical and electrical oscillator, an arrangement that is often encountered in mechatronics actuators and sensors. The dynamics of this coupled system is mathematically modeled and a low pass equivalent model is presented. Numerical simulations are then performed, for various input signals to characterize the nonlinear relationship between the electrical current and the displacement of the mass. Lastly a framework is proposed to estimate the mass position without the use of a position sensor, enabling the sensorless control of the coupled system and additionally providing the ability for the system to act as an actuator or a sensor. This is of value for health monitoring, diagnostics and prognostics, actuation and power transfer of a number of interconnected machines that have more than one electrical system, driving corresponding mechanical subsystems while being driven by the same voltage source and at the same time being spectrally separated and independent. / by Dimitrios Psarrou. / Thesis (M.S.C.S.)--Florida Atlantic University, 2011. / Includes bibliography. / Electronic reproduction. Boca Raton, Fla., 2011. Mode of access: World Wide Web.

This graduation project deals with the analysis of the actual state of the eLearning, teaching aids available and the proposal of the proper teaching aid for subject The Operations and System Analysis. The whole project is divided into the five parts. The first one is the introduction, the second part defines and concretises the main goal and used methods of this thesis. Further chapter contains theoretical explications of the given topic from the point of view of several authors and other resources. The fourth part pursues the comparison and analysis of the existing software. The results of this analysis, their presentation and evaluation you can find, together with the proper teaching aid prototype, in the last chapter.

This thesis consists of three papers in optimization and revenue management over complex networks: Robust Linear Control in Transmission Systems, Online Learning and Optimization Under a New Linear-Threshold Model with Negative Influence, and Revenue Management with Complementarity Products. This thesis contributes to analytical methods for optimization problems in complex networks, namely, power network, social network and product network. In Chapter 2, we describe a robust multiperiod transmission planning model including renewables and batteries, where battery output is used to partly offset renewable output deviations from forecast. A central element is a nonconvex battery operation model plus a robust model of forecast errors and a linear control scheme. Even though the problem is nonconvex we provide an efficient and theoretically valid algorithm that effectively solves cases on large transmission systems. In Chapter 3, we propose a new class of Linear Threshold Model-based information-diffusion model that incorporates the formation and spread of negative attitude. We call such models negativity-aware. We show that in these models, the expected positive influence is a monotone sub-modular function of the seed set. Thus we can use a greedy algorithm to construct a solution with constant approximation guarantee when the objective is to select a seed set of fixed size to maximize positive influence. Our models are flexible enough to account for both the features of local users and the features of the information being propagated in the diffusion. We analyze an online-learning setting for a multi-round influence-maximization problem, where an agent is actively learning the diffusion parameters over time while trying to maximize total cumulative positive influence. We develop a class of online learning algorithms and provide the theoretical upper bound on the regret. In Chapter 4, we propose a tractable information-diffusion-based framework to capture complementary relationships among products. Using this framework, we investigate how various revenue-management decisions can be optimized. In particular, we prove that several fundamental problems involving complementary products, such as promotional pricing, product recommendation, and category planning, can be formulated as sub-modular maximization problems, and can be solved by tractable greedy algorithms with guarantees on the quality of the solutions. We validate our model using a dataset that contains product reviews and metadata from Amazon from May 1996 to July 2014. We also analyze an online-learning setting for revenue-maximization with complementary products. In this setting, we assume that the retailer has access only to sales observations. That is, she can only observe whether a product is purchased from her. This assumption leads to diffusion models with novel node-level feedback, in contrast to classical models that have edge-level feedback. We conduct confidence region analysis on the maximum likelihood estimator for our models, develop online-learning algorithms, and analyze their performance in both theoretical and practical perspectives.

Bibliography: pages 102-109. / This study investigated the relationships between user resistance to new information systems and other factors, the chief of which was the differences in cognitive problem-solving styles between systems developers (analysts) and users. In addition, associations were tested between user resistance and the following: system accuracy, system reliability, the analyst's attitude, the analyst-user relationship, analyst-user dissonance, the user's age and the user's length of service with his current employer. All data was collected at confidential interviews with the key users and key analysts of 34 post-implementation systems service were recorded at these interviews. Ages and lengths of User resistance was determined from the number of complaints made by users regarding the systems and their manner of implementation. Cognitive style was measured using the Kirton Adaption-innovation Inventory (KAI). All other parameters were measured as responses to suitably phrased questions, quantified using seven-point scales. A significant positive association between user resistance and analyst-user cognitive style difference was found. A model was then developed which enables the estimation of user resistance prior to system development with the aid of the KAI. Significant negative associations were found to exist between user resistance and system accuracy, and user resistance and system reliability. No relationships between user resistance and either user age or user length of service were found.

Economic systems analysis is a systems analysis technique of setting out the factors that have to be taken into account in making economic systems decisions. The inquiring and operational systems of the technique are almost exclusively designed for well-structured systems. In review of economic systems analysis against systems thinking, there is a growing tendency to discard the analytical approach as inappropriate for dealing with an ill-structured issue. Therefore, economic systems analysis needs both the inquiring and operational systems which are appropriate for ill-structured systems. The foregoing leads to the introduction of an extensive methodology. Mainly, the weakness of economic systems analysis methodology can be traced to the philosophical paradigm upon which the technique is based. In this study, four main aspects of both the inquiring and operational systems of economic systems analysis are being explored: (1) A new philosophical paradigm is proposed as the foundation of general methodology in place of the traditional Newtonian-Kantian inquiring system. (2) The new philosophical paradigm needs new problem formulation and analysis space; therefore, a multidimensional, synergetic, and autopoietic model is proposed for systems synthesis and systems analysis. (3) The new philosophical paradigm is characterized as a Singerian inquiry, and as a result, Marglin's multiobjective analysis is replaced by a Singerian multiobjective analysis. (4) Markov communication theory and fuzzy sets theory are proposed as tools for handling complexity. Markov communication theory and fuzzy sets theory are introduced for systems design and multiple objective analysis. This study reports on the first application of a Singerian fuzzy multiobjective mathematical algorithm in economic systems analysis, concluding that fuzzy systems theory, especially Markov communication theory, can realize approximate reasoning in economic systems analysis. Fuzzy modeling offers a deeper understanding of complexity and a means of expressing the insights that result from that understanding; moreover, it provides a means of incorporating subjectivity and adaptation. Therefore, fuzzy modeling increases the validity of the systems approach for dealing with ill-structured systems. The proposed method represents an important theoretical improvement of Marglin's approach. The results, however, also hold practical importance, for they are of practical interest to systems analysts who would improve systems design and multiobjective analysis.

We study problems in the stability of nonlinear ecological models and in the theory of collective motion in physical systems. We first establish criteria for global stability in deterministic nonlinear population models, including the most general criteria so far available for the Lotka-Volterra model. Next we study conditions for coexistence under periodic perturbations in population models and establish criteria for the appearance of dynamic equilibrium states. The third study in ecological stability establishes that a measure of the stability of population models in the presence of white noise is given by a Liapunov function for the nonlinear deterministic model, and the implications of the result are examined. We consider next the use of kinetic equations to study physical systems, and prove that the use of higher order derivatives in the Mori formalism leads to results formally identical with Mori's continued fraction theory. We then apply the method of using higher derivatives to develop a physical picture of collective mode dynamics in the linear Heisenberg chain. The collective modes and their time scales are isolated and studied.