Code generator for integrating warehouse XML data sources.

XML---the extensible Markup Language, has been recognized as the standard for data representation and exchange on the world wide web. Vast amounts of XML data are available on the web. Since the information on the web is stored on separate web pages, it is very hard to combine pieces of information for decision support purposes. Data warehouse data integration provides a solution for integrating the different XML source data into a unique format with meaningful information for decision support systems. A data warehouse is a large integrated database organized around major subjects of an enterprise for the purpose of decision support querying. Many enterprises are creating their own data warehouse systems from scratch in different varying formats, making the issue of building a more efficient, more reliable, cost-effective and easy-to-use data warehouse system important. Building a code generator for creating a program that automatically integrates XML data sources into a target data warehouse is one solution. There is little research showing the use of the newest XML techniques in code generator for data warehouse XML data integration. This thesis proposes a Warehouse Integrator code generator for XML (WIG4X), which integrates XML data sources into a target data warehouse by first generating Java programs for data extracting, cleaning and loading XML data into the data warehouse. WIG4X system also generates the programs for creating XML views from the data warehouse. XML schema mapping strategy is employed for structural integration of each XML data source to data warehouse using a first order logic-like-language similar to that used in INFOMASTER. The content integration is handled through XML data extraction, conversion constraints, data cleaning and data loading. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2001 .L57. Source: Masters Abstracts International, Volume: 40-06, page: 1549. Adviser: Christie Ezeife. Thesis (M.Sc.)--University of Windsor (Canada), 2002

Usage habits of business information system in Hungary

The IT functions of the companies can be executed in different ways in-house solution, outsourcing, in sourcing, formation a spin-off company. Predominantly this function is provided within the company in Hungary. The larger a company is; it is more likely that a separate IT manager will be entrusted for the supervision of IT functions. Only a very small number of small-sized enterprises said that they paid special attention to formulating an IT strategy, while it was not considered important by microenterprises at all

Information systems and healthcare XXIV: Factors affecting the EAI adoption in the healthcare sector

Recent developments in the field of integration technologies like Enterprise Application Integration (EAI) have emerged to support organizations towards improving the quality of services and reducing integration costs. Despite the importance of EAI, there is limited empirical research reported on its adoption in the healthcare sector. Khoumbati et al. [2006] developed a model for the evaluation of EAI in healthcare organizations. In doing so, the causal interrelationship of EAI adoption factors was identified by using fuzzy cognitive mapping. This paper is a progression of previous work in the area and seeks to contribute by validating the model through a different case environment. Thus, this paper contributes by deriving and proposing the MAESTRO model for EAI adoption. MAESTRO identifies a set of factors that influence EAI adoption and it is evaluated through a real-life case study. It provides an understanding of the EAI adoption process through its grounding on empirical data. In doing so, the MAESTRO model supports the management of healthcare organizations during the decision-making process for EAI adoption

On fuzzy reasoning schemes

In this work we provide a short survey of the most frequently used fuzzy reasoning schemes. The paper is organized as follows: in the first section we introduce the basic notations and definitions needed for fuzzy inference systems; in the second section we explain how the GMP works under Mamdani, Larsen and G¨odel implications, furthermore we discuss the properties of compositional rule of inference with several fuzzy implications; and in the third section we describe Tsukamoto’s, Sugeno’s and the simplified fuzzy inference mechanisms in multi-input-single-output fuzzy systems

Investigating and learning lessons from early experiences of implementing ePrescribing systems into NHS hospitals:a questionnaire study

Background: ePrescribing systems have significant potential to improve the safety and efficiency of healthcare, but they need to be carefully selected and implemented to maximise benefits. Implementations in English hospitals are in the early stages and there is a lack of standards guiding the procurement, functional specifications, and expected benefits. We sought to provide an updated overview of the current picture in relation to implementation of ePrescribing systems, explore existing strategies, and identify early lessons learned.Methods: a descriptive questionnaire-based study, which included closed and free text questions and involved both quantitative and qualitative analysis of the data generated.Results: we obtained responses from 85 of 108 NHS staff (78.7% response rate). At least 6% (n = 10) of the 168 English NHS Trusts have already implemented ePrescribing systems, 2% (n = 4) have no plans of implementing, and 34% (n = 55) are planning to implement with intended rapid implementation timelines driven by high expectations surrounding improved safety and efficiency of care. The majority are unclear as to which system to choose, but integration with existing systems and sophisticated decision support functionality are important decisive factors. Participants highlighted the need for increased guidance in relation to implementation strategy, system choice and standards, as well as the need for top-level management support to adequately resource the project. Although some early benefits were reported by hospitals that had already implemented, the hoped for benefits relating to improved efficiency and cost-savings remain elusive due to a lack of system maturity.Conclusions: whilst few have begun implementation, there is considerable interest in ePrescribing systems with ambitious timelines amongst those hospitals that are planning implementations. In order to ensure maximum chances of realising benefits, there is a need for increased guidance in relation to implementation strategy, system choice and standards, as well as increased financial resources to fund local activitie

Beyond Cost-per-Hire and Time to Fill: Supply-Chain Measurement for Staffing

Identifying and acquiring talent is one of the most important processes in human resource management. It is a key element in being competitive in a knowledge driven, talent constrained economy. In addition, it is often the first contact that potential employees have with the organization, so it can be the basis for the entire employment relationship. Increasingly, organizations recognize that a professionally excellent staffing process can be a source of competitive advantage. Moreover, the emergence of fundamentally new information technologies and communication processes – such as the Internet, virtual job fairs, online testing, and global job boards – increase the opportunities and the risks associated with staffing process management. Unfortunately, existing staffing process measurement systems typically fail to provide the information necessary to understand, evaluate and make rational decisions about investments in the staffing system, and fail to support decisions about staffing by HR professionals, line managers, applicants and employees. As a result, organizations often base decisions about their staffing systems solely on information about the volume of applicants or new hires, or the costs and time involved in staffing activities. This leads to potentially disastrous decisions, and opens the door for competitors. In this article, we propose a framework for a staffing measurement system that truly supports professional excellence, partnership and optimal investment decisions

Engineering Agent Systems for Decision Support

This paper discusses how agent technology can be applied to the design of advanced Information Systems for Decision Support. In particular, it describes the different steps and models that are necessary to engineer Decision Support Systems based on a multiagent architecture. The approach is illustrated by a case study in the traffic management domain