This thesis presents a Web-based geographic information system (GIS) application for campus emergency management that allows users to visualize, integrate, and analyze student population, facilities, and hazard data for efficient emergency management of University of North Texas before, during, and after a terrorism event. End-users can locate and search the source area of an event on a digital map from the ArcIMS-based Website. The website displays corresponding population information and attributes of impacted facilities in real time. School officials and first responders including police, firefighters and medical personnel can promptly plan the appropriate rescue and response procedures according to the displayed results. Finally, the thesis outlines the limitations of Web-based GIS in the arena of campus emergency management.

My master’s thesis is focused on knowledge management. The main point is one of the most important topics now, the knowledge and its management. The introduction of my master’s thesis provides basic definitions from the field of knowledge management, namely data, information and knowledge, and gives definitions of most important factors that influences knowledge management. Thesis gives a survey of current development in information systems and products supporting knowledge management.

In the Master’s Thesis, the management of processing of an order in the company Pekárny Blansko, a.s., is analyzed. The description of the present way of dealing with the orders is included in the Thesis as well. Subsequently, the Thesis contains a proposal that facilitates meeting the customers’ demands for quantity and time. This solution will contribute to the competitive advantage of the company in the market.

The diploma thesis deals with the design of implementation of information security management system in IT company, deals with metrics for measuring the effectiveness of the system, according to the international standards ISO/IEC 2700x. The thesis solves invested resources in the establishment of the system. The thesis provides a summary of theoretical knowledge of information security management system, analyzes the current situation in the company and propose measures to increase security in the company.

The master thesis is solving a problem of physical security of documents in Document Management System (DMS) in the company Icontio CR s.r.o. This fact will improve the security of the whole system and also the security of data placed in it. The main purpose of this thesis is a proposal of a security module, methods of coding and other functionalities which are going to be neccesarily implemented. Side purpose is a creation of the Access management, structures of data libraries in the DMS system, structures of users in the Active Directory and a suggestion of multilevel workflow. Introduction of these changes should bring the physical security of data, new view on data and simplifying the work with them in all fields of interest.

The master’s thesis deals with Czech cosmetic company RYOR a. s. In the theoretical part is described the supply logistics and associated processes. The practical part analyses the supply process of the company. The goal of this thesis is proposal of efficient solution of supply process and integration of the information system. This proposal will be introduced to the company and in the case of interest the company can take advantage of it.

<p>Sposobnost za postizanje postavljenih ciljeva bilo koje<br />organizacije, u kontekstu strategijskog i performans<br />menadžmenta, zavisi od sposobnosti te organizacije da uči, da<br />razvija i upravlja razvojem svog intektualnog kapitala, odnosno<br />ljudskim resursima. Inovacija i razvoj proizvoda, usluga i<br />poslovnih procesa mogu se postići unapređenim znanjima i<br />umjećima osoblja, nadmoćnom informacionom tehnologijom i<br />uređenim procesima organizacije. Savremene organizacije sve<br />jasnije shvataju da im valjano upravljanje ljudskim resursima<br />može značajno doprinjeti sticanju održivih kompetitivnih<br />prednosti. Značaj koncepata i pristupa upravljanja ljudskim<br />resursima, a prema tome i vrednovanja i ocjenjivanja ljudskog<br />kapitala, sa podr&scaron;kom upravljačkih informacionih sistema, se<br />prema svemu sudeći, zasniva se na činjenici da, zahvaljujući<br />pomenutim sistemima, biva reorganizovano doskora&scaron;nje<br />shvatanje i razumijevanje doprinosa osoblja performansama<br />organizacije.<br />Upravljanje ljudskim resursima u svakom poslovnom sistemu<br />postaje potpuno različito od dosada&scaron;njeg. Ono se vi&scaron;e ne shvata<br />samo kao puka funkcionalna aktivnost već i kao nova poslovna<br />filozofija koju treba provoditi na svim menadžerskim nivoima.<br />Neki od neophodnih uslova za uspje&scaron;no upravljanje ljudskim<br />resursima i performansom se obezbjeđuju putem upravljanja<br />informacionim resursima organizacije (podacima,<br />informacijama i znanjima) kao i od strane poslovne<br />inteligencije kao osnove za sticanje potrebnih informacija.<br />Stoga se značajan dio ove teze fokusira na koncipiranje i razvoj<br />upravljačkih informacionih sistema za podr&scaron;ku upravljanju<br />ljudskim resursima.</p> / <p>The ability to achieve the set objectives of an organisation<br />in the context of strategic and performance management<br />depends on the organisation&rsquo;s ability to learn, develop and<br />manage the development of its own intellectual capital i.e.<br />human resources. Innovation and development of products,<br />services and business processes can be achieved by<br />improved staff&rsquo;s knowledge and skills, supreme<br />information technology and regulated organisational<br />processes. Modern organisations are becoming more and<br />more aware of the fact that proper human resources<br />management can considerably contribute to gaining<br />sustainable competitive advantages. The importance of<br />conceptions of and approaches to human resources<br />management, and therefore the evaluation and assessment<br />of the human capital supported by IT systems seems to be<br />based on the fact that the previous understanding of staff&rsquo;s<br />contribution to the organisation&rsquo;s performance is being<br />reorganised owing to IT support. In every business system<br />human resources management is becoming totally different<br />than before; it is no longer seen as a mere functional<br />activity but also as a new business philosophy to be<br />applied on all levels of management.<br />Some of the conditions necessary for successful human<br />resources management and performances are provided by<br />the informational resources of an organisation (data,<br />information and skills) and business intelligence as the<br />basis for acquiring the necessary information. Therefore, a<br />significant part of this thesis is focused on conceiving and<br />developing the management information systems for<br />human resources management support.</p>

This dissertation comprises three papers introducing strategies, models, and frameworks to guide pandemic response. The first paper uses a novel mathematical model to analyze the coordination between government and humanitarian non-governmental organizations (NGOs) in response to pandemics. This is a vital form of public-private partnership between governments as the primary source for the humanitarian supplies required during a crisis and aid organizations. This coordination involves the equitable distribution of personal protective equipment, including face masks and face shields among health workers, patients, and the public in hospitals. Considering social costs such as deprivation and equity costs in the model, in addition to the other important classic cost terms, enables managers to organize the best possible response when such outbreaks happen. The second paper introduces a decision support framework designed to assist healthcare managers, and clinical informatics specialists in analyzing and selecting the most appropriate consensus algorithm for their organization's blockchain-based health platforms, with a specific focus on managing pandemic-related information. Blockchain technology holds great potential in addressing pandemics by enhancing security and transparency in various aspects of pandemic tracking and mitigation while promoting public engagements by facilitating real-time exchange of electronic health information. By improving information sharing and coordination among healthcare organizations, it offers more effective response efforts and helps reduce the spread of viruses. However, the performance of consensus algorithms, which are a crucial component of blockchain architecture, can vary, posing a challenge in selecting the appropriate algorithm. To address this, the framework incorporates two techniques: data envelopment analysis (DEA) and the ranking distribution technique. DEA enables the analysis of efficiency without relying solely on expert judgment, providing a more objective assessment. The ranking distribution technique enhances differentiation among algorithms, providing decision-makers with a robust basis for selecting the most suitable blockchain architecture and its associated properties. The third paper focuses on the challenges of disseminating guidance-related information to the public during a pandemic, specifically the role of opinion leaders as reliable sources of information. The study determines the practical characteristics of pandemic opinion leaders on public attitudes using surveys and identifies domain-sensitive pandemic opinion leaders on Twitter based on the discovered characteristics using social network analysis and text mining. The framework's results show that pandemic opinion leaders are active in eight different domains on the Twitter platform. Results also demonstrate that trust is the most influential characteristic of pandemic opinion leaders, while expertise, uniqueness, innovation, and reputation also play important roles. / Doctor of Philosophy / This dissertation presents a collection of three research papers that offer insights and practical techniques and strategies to effectively tackle the challenges posed by pandemics through enhanced information sharing, public engagement, and robust public-private partnerships. The first paper introduces a novel mathematical model that thoroughly examines the collaboration between governments and humanitarian non-governmental organizations (NGOs) during crises such as the Covid-19 pandemic. The model's primary focus is on the equitable distribution of vital supplies, including face masks and shields, to healthcare workers as well as the public. By incorporating considerations of social costs, fairness, and other critical factors, this model aids managers in organizing the most efficient response to initial impacts of outbreaks within a short-term planning horizon. Our primary objective is to ensure the prompt and equitable delivery of essential supplies to individuals in need, achieved primarily through establishing strong public-private partnerships. The second paper proposes a decision support framework for healthcare managers, IT analysts, and clinical informatics specialists to help them effectively analyze consensus algorithms, as the most important layer of blockchain architecture. The framework further helps them select the most suitable algorithm for their organization's blockchain-based health platforms, aligning with specific policies, needs, requirements, and goals in managing pandemic-related information. Blockchain technology offers potential in tracking medical supplies, identifying virus hotspots, and verifying protective equipment authenticity to manage pandemics. By enhancing information sharing and coordination among healthcare organizations, blockchain can minimize virus spread and improve overall response efforts. The proposed framework reduces reliance on expert judgment and addresses data uncertainty when selecting proper algorithms for blockchain-based information management systems in mitigating the effects of pandemics. The third paper delves into the intricate challenges associated with effectively disseminating guidance-related information to the public during a pandemic, placing particular emphasis on the pivotal role played by opinion leaders (OLs) as reliable sources. This study thoroughly examines the distinctive characteristics of pandemic OLs and their profound influence on public attitudes. By employing surveys, social network analysis, and text mining techniques on Twitter data, the research successfully identifies OLs within distinct pandemic-related domains. The study's significant findings provide insights into the dynamic role assumed by pandemic OLs on Twitter and their consequential impact on public perception and behavior across various domains. Ultimately, the dissertation findings strive to support decision-makers and public health officials in their efforts to effectively manage pandemics and protect public health. The research emphasizes facilitation of seamless, rapid, and dependable information sharing across various planning horizons.

This panel paper aims at initiating discussion at the Second International Workshop on Energy Data Management (EnDM 2013) about the important research challenges within Energy Data Management. The authors are the panel organizers, extra panelists will be recruited before the workshop.

Many buildings underperform leading to up to 20% energy waste. Case studies on monitoring-based commissioning (MBCx) have shown that using energy management and information systems (EMIS) for continuous energy monitoring and analysis enables the identification of issues that cause energy waste and verifies energy conservation measures. However, MBCx is underutilized by organizations leading to an energy efficiency gap between the energy saving potential of technologies like EMIS and observed savings. This energy efficiency gap can be attributed to general barriers to MBCx and barriers caused specifically by cognitive bias in the decision-making process. Using qualitative data from over 40 organizations implementing and practicing MBCx, this manuscript provides a better understanding of these barriers. Chapter 1 synthesizes and codes the qualitative data to develop a framework of variables acting as barriers and enablers to MBCx. The framework highlights commonly experienced barriers like data configuration, and also variables with conflicting results like payback/return on investment, which was experienced as a barrier to some organizations and enabler to others. Chapter 2 examines the barriers to MBCx through a behavioral decision science lens and finds evidence of cognitive biases, specifically, risk aversion, social norms, choice overload, status quo bias, information overload, professional bias, and temporal discounting. The success of choice architecture in other energy efficiency decisions is used to offer suggestions for ways to overcome these cognitive biases. This manuscript can be used by practitioners to better understand potential barriers to MBCx and by researchers to prioritize gaps and find methods to overcome the barriers to MBCx. / Master of Science