Uso da internet no setor de hotelaria de Recife-PE

A Internet é uma tecnologia que revolucionou o mundo, criando novas formas de interação entre pessoas, organizações e negócios. O setor hoteleiro é um segmento que muito tem se beneficiado dos serviços suportados pela Internet. O objetivo do estudo é identificar os diferentes fatores que influenciam ao uso da Internet sob três dimensões: individual, organizacional e ambiental. Um modelo conceitual foi postulado contendo nove variáveis independentes sobre duas variáveis dependentes, relativas ao padrão de uso da Internet. Os dados foram coletados junto a 52 hotéis localizados no litoral do Recife – PE. O resultado da análise inferencial dos dados mostrou um padrão diferenciado de uso da Internet nos hotéis de pequeno, médio e grande porte e como os fatores acima descritos podem ser mais bem explorados a fim de se atingir um eficiente padrão de uso, aumentando suas posições competitivas. Baseadas na análise e resultados obtidos do estudo, são esboçadas algumas recomendações e implicações para futuras pesquisas. ABSTRACT:The Internet technology has revolutionized the world, creating new forms of interaction among people, organizations and businesses. The hotel sector has reaped many benefits from services supported by the Internet. The object of this study is to explore different factors that influence the adoption of the Internet in three areas: individual, organizational and environment. A conceptual framework was advanced containing nine independent variables and two dependent variables related to the usage of the Internet. Data was collected from 52 hotels located along the coast of Recife, PE, Brazil. Analysis of the data has demonstrated the Internet use in small, medium and large size hotels. Some attributes of the Internet usage could be better utilized by owners and managers in order to achieve a more efficient pattern of use, improving their competitive position. Based on the findings obtained from the study, some recommendations and implications for future research are advanced

Undersampled Critical Branching Processes on Small-World and Random Networks Fail to Reproduce the Statistics of Spike Avalanches

The power-law size distributions obtained experimentally for neuronal avalanches are an important evidence of criticality in the brain. This evidence is supported by the fact that a critical branching process exhibits the same exponent t~3=2. Models at criticality have been employed to mimic avalanche propagation and explain the statistics observed experimentally. However, a crucial aspect of neuronal recordings has been almost completely neglected in the models: undersampling. While in a typical multielectrode array hundreds of neurons are recorded, in the same area of neuronal tissue tens of thousands of neurons can be found. Here we investigate the consequences of undersampling in models with three different topologies (two-dimensional, small-world and random network) and three different dynamical regimes (subcritical, critical and supercritical). We found that undersampling modifies avalanche size distributions, extinguishing the power laws observed in critical systems. Distributions from subcritical systems are also modified, but the shape of the undersampled distributions is more similar to that of a fully sampled system. Undersampled supercritical systems can recover the general characteristics of the fully sampled version, provided that enough neurons are measured. Undersampling in two-dimensional and small-world networks leads to similar effects, while the random network is insensitive to sampling density due to the lack of a well-defined neighborhood. We conjecture that neuronal avalanches recorded from local field potentials avoid undersampling effects due to the nature of this signal, but the same does not hold for spike avalanches. We conclude that undersampled branching-process-like models in these topologies fail to reproduce the statistics of spike avalanches.