7 resultados para driver information systems, genetic algorithms, prediction theory, transportation
em Universidad de Alicante
Resumo:
In the light of the growing interest raised by Information Systems Offshore Outsourcing both in the managerial world and in the academic arena, the present work carries out a revision of the research in this area. We have analysed 89 research articles on this topic published in 17 prestigious journals. The analysis deals with aspects such as research methodologies, level of analysis in the studies, data perspective, economic theories used or location of vendors and clients of these services; and it additionally identifies the most frequent topics in this field as well as the most prolific authors and countries. Although other reviews about the research in this area have been published, the present paper achieves a greater level of detail than previous works. The review of the literature in the area could have interesting implications not only for academics but also for business practice.
Resumo:
The technology innovation (TI) in the health system has been confirmed as the best format to share information and to facilitate the communication between all the actors involved in the chronic patients´ care.
Resumo:
This introduction provides an overview of the state-of-the-art technology in Applications of Natural Language to Information Systems. Specifically, we analyze the need for such technologies to successfully address the new challenges of modern information systems, in which the exploitation of the Web as a main data source on business systems becomes a key requirement. It will also discuss the reasons why Human Language Technologies themselves have shifted their focus onto new areas of interest very directly linked to the development of technology for the treatment and understanding of Web 2.0. These new technologies are expected to be future interfaces for the new information systems to come. Moreover, we will review current topics of interest to this research community, and will present the selection of manuscripts that have been chosen by the program committee of the NLDB 2011 conference as representative cornerstone research works, especially highlighting their contribution to the advancement of such technologies.
Resumo:
Purpose – The purpose of this paper is to analyse Information Systems outsourcing success, measuring the latter according to the satisfaction level achieved by users and taking into account three success factors: the role played by the client firm’s top management; the relationships between client and provider; and the degree of outsourcing. Design/methodology/approach – A survey was carried out by means of a questionnaire answered by 398 large Spanish firms. Its results were examined using the partial least squares software and through the proposal of a structural equation model. Findings – The conclusions reveal that the perceived benefits play a mediating role in outsourcing satisfaction and also that these benefits can be grouped together into three categories: strategic; economic; and technological ones. Originality/value – The study identifies how some success factors will be more influent than others depending which type of benefits are ultimately sought with outsourcing.
Resumo:
Despite the proliferation of academic research on information systems outsourcing, not many studies analyze the characteristics of outsourcing contracts. This research aims to provide an in-depth description of information systems outsourcing. An additional objective is to examine how these characteristics evolve over time. Finally, this study reports on the usefulness of measuring such characteristics over time to assess the maturity level of the information systems outsourcing. This study gathers the data from the responses of the information systems managers of the largest Spanish firms to a questionnaire. This longitudinal study covers 12 years of research and compares authors' previous research results with the results of this study.
Resumo:
Currently there are an overwhelming number of scientific publications in Life Sciences, especially in Genetics and Biotechnology. This huge amount of information is structured in corporate Data Warehouses (DW) or in Biological Databases (e.g. UniProt, RCSB Protein Data Bank, CEREALAB or GenBank), whose main drawback is its cost of updating that makes it obsolete easily. However, these Databases are the main tool for enterprises when they want to update their internal information, for example when a plant breeder enterprise needs to enrich its genetic information (internal structured Database) with recently discovered genes related to specific phenotypic traits (external unstructured data) in order to choose the desired parentals for breeding programs. In this paper, we propose to complement the internal information with external data from the Web using Question Answering (QA) techniques. We go a step further by providing a complete framework for integrating unstructured and structured information by combining traditional Databases and DW architectures with QA systems. The great advantage of our framework is that decision makers can compare instantaneously internal data with external data from competitors, thereby allowing taking quick strategic decisions based on richer data.
Resumo:
Model Hamiltonians have been, and still are, a valuable tool for investigating the electronic structure of systems for which mean field theories work poorly. This review will concentrate on the application of Pariser–Parr–Pople (PPP) and Hubbard Hamiltonians to investigate some relevant properties of polycyclic aromatic hydrocarbons (PAH) and graphene. When presenting these two Hamiltonians we will resort to second quantisation which, although not the way chosen in its original proposal of the former, is much clearer. We will not attempt to be comprehensive, but rather our objective will be to try to provide the reader with information on what kinds of problems they will encounter and what tools they will need to solve them. One of the key issues concerning model Hamiltonians that will be treated in detail is the choice of model parameters. Although model Hamiltonians reduce the complexity of the original Hamiltonian, they cannot be solved in most cases exactly. So, we shall first consider the Hartree–Fock approximation, still the only tool for handling large systems, besides density functional theory (DFT) approaches. We proceed by discussing to what extent one may exactly solve model Hamiltonians and the Lanczos approach. We shall describe the configuration interaction (CI) method, a common technology in quantum chemistry but one rarely used to solve model Hamiltonians. In particular, we propose a variant of the Lanczos method, inspired by CI, that has the novelty of using as the seed of the Lanczos process a mean field (Hartree–Fock) determinant (the method will be named LCI). Two questions of interest related to model Hamiltonians will be discussed: (i) when including long-range interactions, how crucial is including in the Hamiltonian the electronic charge that compensates ion charges? (ii) Is it possible to reduce a Hamiltonian incorporating Coulomb interactions (PPP) to an 'effective' Hamiltonian including only on-site interactions (Hubbard)? The performance of CI will be checked on small molecules. The electronic structure of azulene and fused azulene will be used to illustrate several aspects of the method. As regards graphene, several questions will be considered: (i) paramagnetic versus antiferromagnetic solutions, (ii) forbidden gap versus dot size, (iii) graphene nano-ribbons, and (iv) optical properties.