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Business innovation and regulatory enforcement: case studies of the big box retail industry and enforcement of RCRAGuard, Misty Ann 15 April 2010 (has links)
The purpose of this research is to examine the following research question: how has enforcement of Resource Conservation and Recovery Act (RCRA) adapted to the Big Box business system innovation? Additionally, the study explored the possible nature of regulatory choke points that may emerge from the enforcement of RCRA in the Big Box retail system. This study used contingency theory to establish a foundation for analysis of the Big Box business system innovation through identification of structural elements, external influences, and their subsequent interactions associated with the Big Box retail system in terms of environmental compliance with the RCRA enforced by the United States (US) Environmental Protection Agency (EPA). This research employed an embedded comparative case study design using the comparison of two Big Box firms, Walmart Stores, Inc. and Target Corporation, nationally and for the following states with opposing enforcement strategies: Arizona, Kentucky, Missouri, and Texas. The data used was obtained from third-party federal or firm-maintained sources.
Findings indicate Walmart adheres to the structural models developed using contingency theory principles and incurs more impacts from regulatory agencies due to the enforcement of RCRA. Furthermore, it was observed that inspections of the firms are not distributed throughout the organizational structural elements by all states. Additionally, the use of different enforcement strategies resulted in the emergence of regulatory choke points by Arizona, Kentucky, and Texas; however, Missouri appears to balance enforcement without causing a regulatory choke point.
This research has identified that the enforcement of RCRA has not universally adapted to the demands of the Big Box business system innovation. Agency implications, firm implications, directions for further research, and continued development of a regulatory choke point theory are discussed.
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Datové sklady - principy, metody návrhu, nástroje, aplikace, návrh konkrétního řešení / Data warehouses -- main principles, concepts and methods, tools, applications, design and building of data warehouse solution in real companyMašek, Martin January 2007 (has links)
The main goal of this thesis is to summarize and introduce general theoretical concepts of Data Warehousing by using the systems approach. The thesis defines Data Warehousing and its main areas and delimitates Data Warehousing area in terms of higher-level area called Business Intelligence. It also describes the history of Data Warehousing & Business Intelligence, focuses on key principals of Data Warehouse building and explains the practical applications of this solution. The aim of the practical part is to perform the evaluation of theoretical concepts. Based on that, design and build Data Warehouse in environment of an existing company. The final solution shall include Data Warehouse design, hardware and software platform selection, loading with real data by using ETL services and building of end users reports. The objective of the practical part is also to demonstrate the power of this technology and shall contribute to business decision-making process in this company.
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Dashboardy - jejich analýza a implementace v prostředí SAP Business Objects / An analysis and implementation of Dashboards within SAP Business Objects 4.0/4.1Kratochvíl, Tomáš January 2013 (has links)
The diploma thesis is focused on dashboards analysis and distribution and theirs implementation afterwards in SAP Dashboards and Web Intelligence tools. The main goal of this thesis is an analysis of dashboards for different area of company management according to chosen of architecture solution. Another goal of diploma thesis is to take into account the principles of dashboards within the company and it deals with indicator comparison as well. The author further defines data life cycle within Business Intelligence and deals with the decomposition of particular dashboard types in theoretical part. At the end of theory, it is included an important chapter from point of view data quality, data quality process and data quality improvement and an using of SAP Best Practices and KBA as well for BI tools published by SAP. The implementation of dashboards should be back up theoretical part. Implementation is divided into 3 chapters according to selected architecture, using multisource systems, SAP Infosets/Query and using Data Warehouse or Data Mart as an architecture solution for reporting purposes. The deep implementing section should be help reader to make his own opinion to different architecture, but especially difference in used BI tools within SAP Business Objects. At the end of each section regarding architecture and its solution, there are defined pros and cons.
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Datové sklady a OLAP v prostředí MS SQL Serveru / Data Warehouses and OLAP in MS SQL Server EnvironmentMadron, Lukáš January 2008 (has links)
This paper deals with data warehouses and OLAP. These technologies are defined and described here. Then an introduction of the architecture of product MS SQL Server and its tools for work with data warehouses and OLAP folow. The knowledge gained is used for creation of sample application.
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Servants to the Lender: The History of Faith-Based Business in Four Case StudiesBurton, Zachary T. 02 August 2017 (has links)
No description available.
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