Estratégias competitivas genéricas nas empresas comerciais varejistas de shopping centers: um estudo a partir do modelo de Porter

Os shoppingcenters são grandes instituições repletas de empresas quecompetem entre si formas de como melhor satisfazer as necessidade dosclientes. Sendo assim, cada empresa utiliza-se de estratégias com o intuito deatingir a maior parcela de compradores possíveis sem comprometer suaexistência e sua vantagem competitiva. Este estudo está baseado na teoria dasestratégias competitivas genéricas de Porter (1980; 1985) o qual estabeleceem seu modelo que todas as empresas existentes no mercado possuam pelomenos uma das três abordagens estratégicas (diferenciação, liderança emcusto e enfoque). Desta forma, este trabalho identifica de que maneira estádistribuída as estratégia competitiva nas empresas de shoppingcenters deNatal/RN. Primeiramente buscou-se levantar a relação das estratégias destasempresas com a teoria proposta por Porter (1985) e sua alocação de acordocom os agrupamentos resultantes da combinação das estratégias. Nestemomento, foram aplicados questionários com 89 gerentes de lojas de shoppingcenters que resultou após análises estatísticas em cinco agrupamentos comabordagens válidas. Em seguida foram selecionadas as empresas quepossuíam maior afinidade com cada agrupamento e que melhor representavamos resultados dispostos em cinco clustersacerca da teoria proposta e nestaamostragem foi aplicada entrevista com os gerentes. Os resultados obtidos com as entrevistas validaram a análise dos dados encontrados nosquestionários anteriormente aplicados estando em conformidade com aproposta teoria. Identificou-se também duas modalidades de empresas queutilizavam simultaneamente mais de uma estratégia competitiva (meio-termo),sendo uma dentro e outra fora do modelo proposto pelo autor. Embora omodelo das estratégias competitivas genéricas tenha sido instituído comaspectos voltados as organizações industriais, os resultados obtidos nestetrabalho validaram a aplicação desta teoria em empresas comercias deshopping centers que vem se adequando para obter resultados financeirosmais satisfatórios e melhor posicionamento em relação à concorrência

Comunicação e imagem organizacional: um estudo de suas relações no comércio varejista de shopping centers

This study shows the results of an exploratory-descriptive research that aimed to identify the latent dimensions of communication, as well as finding relations between such dimensions and organizational image. The sample came to a total of 267 respondents, being 89 managers or owners and 178 salespeople of clothing and footwear stores that are situated in the main five shopping centers located in Natal, capital of Rio Grande do Norte. The collection of the data was made by the use of two structuralized and validated instruments, being the answers measured in the likert scale of 6 points. For the measurement of communication it was used the instrument developed by Downs and Hazen (2002), made up of 8 latent dimensions and 32 indicators. For the image it was used the model of Mael and Ashforth (1992) that contains 5 indicators. The analysis of the data was made through of the use of statistical techniques of factorial analysis and structural equations modeling. The results of the factorial analysis demonstrated communication as being formed by five latent dimensions. The modeling, on the other hand, demonstrated to exist positive relations between communication and organizational image, whose results revealed that the image is influenced by the communication with the supervisor, by the organizational integration and as being stronger explained by the vertical communication

Creación de neologismos en euskera: Análisis descriptivo de la terminología de la odontología en lengua vasca y propuestas para la formación de términos en los ámbitos de especialidad.

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A REVIEW OF THE SMALL BUSINESS DEVELOPMENT CENTERS PROGRAM

Members of the General Assembly requested that we conduct an audit of the Small Business Development Centers program. We planned to review the accuracy of the program’s reporting of its effectiveness, expenditures, and structure. The audit objectives were listed as follows: Determine if the SBDC program’s reporting, including the program’s effectiveness, is in compliance with the U.S. Small Business Administration’s guidelines and is accurate and complete ; Determine if the current structure of the SBDC is the most beneficial to the small business clients, provides appropriate oversight to SBDC staff, and allows for necessary sharing of best practices throughout all SBDC offices ; Review a sample of SBDC’s use of funding to ensure that the program is efficiently handling federal, state, and other funds for expenditures, including technology upgrades and training conferences.

The role of forensic dentistry for identification of a criminal sexual assault: a casework report

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Different Aspects of General Anesthesia in Pediatric Dentistry: A Review

Context:Most child population is able to undergo dental treatment in the conventional setting. However, some children fail to cope with in-office conscious state and cannot respond to usual management modalities. This review aims to discuss the topic further. Evidence Acquisition: A computerized search in databases PubMed, MEDLINE, EMBASE, Google Scholar and Google were performed using dental general anesthesia related keywords. Original and review English-written articles that were limited to child population were retrieved without any limitation of publication date. The suitable papers were selected and carefully studied. A data form designed by author was used to write relevant findings. Results: Preoperative oral examination and comprehensive evaluation of treatment needs is only possible after clinical and radiographic oral examination. Effective collaboration in dental GA team should be made to minimize psychological trauma of children who undergo dental GA. Before conducting comprehensive dental treatment under GA, the general health of the child and the success rate of procedures provided needs to be accurately evaluated. It is noteworthy that determination of the optimal timing for GA dental operation is of great importance. Providing safety with pediatric dental rehabilitation under GA is critical. Conclusions: Besides criteria for case selection of dental GA, some degree of dental practitioner’s judgment is required to make decision. Pre- and post-operative instructions to parents or caregiver decrease the risk of complications. However, trained resuscitation providers, careful monitoring and advanced equipment minimize adverse outcomes.

Dyslipidemia and blood lipid levels in patients tratied in primary care centers in east SAN JOSE

Dyslipidemia, i.e. high levels of blood lipids (cholesterol and triglycerides), is strongly related to cardiovascular disease (CVD). In order to reduce the risk of CVD at any moment in a person ́s life, it is crucial to know his/her –and the population’s– lipid profile. The aim of this study was to assess the (statistical) indicators of blood lipids and the prevalence of dyslipidemia in patients treated in the Integral Health Attention Program from Universidad de Costa Rica. A descriptive study was conducted including 10,044 patients aged 20 to 65 years, who were tested for a blood lipid profile in 2006. A total of 2,969 (29.6%) male and 7,075 (70.4%) female patients took part in the study, with an average age of 43.5 years. General averages for blood lipids were: 203.3 mg/dl for total cholesterol, 50.1 mg/dl for HDL, 120.1 mg/dl for LDL, and 165.6 mg/dl for triglycerides. Prevalence of 17.2% was determined for hypercholesterolemia (≥240 mg/dl), as well as 21.3% for low HDL levels (<40 mg/dl), 11.9% for high LDL levels (≥160 mg/dl), and 26.3% for high triglyceride levels (≥200 mg/dl). Women showed higher overall levels of dyslipidemia than men. Based on health areas, no significant differences were found in general lipid levels by age or sex. Results indicate that the general prevalence of dyslipidemia is close to half the rate reported in worldwide literature and lower than results reported in Costa Rican studies. However, general averages exceeded optimal levels for each blood lipid; consequently, it is important to develop health interventions oriented to reduce the impact of dyslipidemia in the studied population.

Prospects and Opportunities. New Technology Trends yield new opportunities for Libraries and Information Centers

A number of important trends currently impact libraries. Academic libraries face the fundamental shift of collections toward ever increasing proportions of electronic content; public libraries continue to see vigorous interest in print materials, now supplemented by demand to provide e-books for lending. Breeding will explore these and other trends and describe some of the technologies available and emerging to help libraries meet the challenges involved in this context.

Optimal power allocation and load distribution for multiple heterogeneous multicore server processors across clouds and data centers

For multiple heterogeneous multicore server processors across clouds and data centers, the aggregated performance of the cloud of clouds can be optimized by load distribution and balancing. Energy efficiency is one of the most important issues for large-scale server systems in current and future data centers. The multicore processor technology provides new levels of performance and energy efficiency. The present paper aims to develop power and performance constrained load distribution methods for cloud computing in current and future large-scale data centers. In particular, we address the problem of optimal power allocation and load distribution for multiple heterogeneous multicore server processors across clouds and data centers. Our strategy is to formulate optimal power allocation and load distribution for multiple servers in a cloud of clouds as optimization problems, i.e., power constrained performance optimization and performance constrained power optimization. Our research problems in large-scale data centers are well-defined multivariable optimization problems, which explore the power-performance tradeoff by fixing one factor and minimizing the other, from the perspective of optimal load distribution. It is clear that such power and performance optimization is important for a cloud computing provider to efficiently utilize all the available resources. We model a multicore server processor as a queuing system with multiple servers. Our optimization problems are solved for two different models of core speed, where one model assumes that a core runs at zero speed when it is idle, and the other model assumes that a core runs at a constant speed. Our results in this paper provide new theoretical insights into power management and performance optimization in data centers.

Economic models of preventive dentistry for Australian children and adolescents

Purpose:
To identify economic evaluation models and parameters that could be replicated or adapted to construct a generic model to assess cost-effectiveness of and prioritise a wide range of community-based oral disease prevention programmes in an Australian context.
Methods:
The literature search was conducted using MEDLINE, ERIC, PsycINFO, CINHAL (EBSCOhost), EMBASE (Ovid), CRD, DARE, NHSEED, HTA, all databases in the Cochrane library, Scopus and ScienceDirect databases from their inception to November 2012.
Results:
Thirty-three articles met the criteria for inclusion in this review (7 were Australian studies, 26 articles were international). Existing models focused primarily on dental caries. Periodontal disease, another common oral health problem, was lacking. Among caries prevention studies, there was an absence of clear evidence showing continuous benefits from primary through to permanent dentition and the long-term effects of oral health promotion.
Conclusion:
No generic model was identified from previous studies that could be immediately adopted or adapted for our purposes of simulating and prioritising a diverse range of oral health interventions for Australian children and adolescents. Nevertheless, data sources specified in the existing Australian-based models will be useful for developing a generic model for such purposes.

A classification of healthcare facilities: toward the development of energy performance benchmarks for day surgery centers in Australia

OBJECTIVE: In the literature, there is no consistent classification of healthcare facilities. In order to benchmark, assess, and compare the environmental performance of these buildings, it is important to clearly identify the typology within the scope of a particular research. This article identifies the different typologies within the healthcare sector, particularly in Australia, with the aim of the development of energy performance benchmarks for day surgery/procedure centers. BACKGROUND: Healthcare buildings encompass a wide range of facilities. They all share the same purpose of healing and offering a health service for patients. However, they vary significantly in terms of patient type and service provided. These buildings consume a considerable amount of energy, and as a result of the different designs and sizes, their pattern of energy consumption varies. METHODS: The research used a systematic review of the literature to determine how the term "healthcare facility" has been employed in different contexts. In order to better understand the differences in healthcare facilities, definitions and the origin of hospitals and healthcare facilities are introduced and a framework for the classification of healthcare facilities and hospitals is proposed. RESULTS: Healthcare facilities are classified into the following six categories: patient type, care provided, management and ownership, level of care, facility size, and location. Based on these classifications, a categorization for the studies of energy performance in healthcare is introduced. CONCLUSIONS: This study provides a basis for assessment and comparison for a particular healthcare building typology that will assist researchers working in the field of design and energy assessment of healthcare facilities.

Optimal task placement with QoS constraints in geo-distributed data centers using DVFS

 With the rising demands on cloud services, the electricity consumption has been increasing drastically as the main operational expenditure (OPEX) to data center providers. The geographical heterogeneity of electricity prices motivates us to study the task placement problem over geo-distributed data centers. We exploit the dynamic frequency scaling technique and formulate an optimization problem that minimizes OPEX while guaranteeing the quality-of-service, i.e., the expected response time of tasks. Furthermore, an optimal solution is discovered for this formulated problem. The experimental results show that our proposal achieves much higher cost-efficiency than the traditional resizing scheme, i.e., by activating/deactivating certain servers in data centers.

An energy-aware QoS enhanced method for service computing across clouds and data centers

QoS plays a key role in evaluating a service or a service composition plan across clouds and data centers. Currently, the energy cost of a service's execution is not covered by the QoS framework, and a service's price is often fixed during its execution. However, energy consumption has a great contribution in determining the price of a cloud service. As a result, it is not reasonable if the price of a cloud service is calculated with a fixed energy consumption value, if part of a service's energy consumption could be saved during its execution. Taking advantage of the dynamic energy-Aware optimal technique, a QoS enhanced method for service computing is proposed, in this paper, through virtual machine (VM) scheduling. Technically, two typical QoS metrics, i.e., the price and the execution time are taken into consideration in our method. Moreover, our method consists of two dynamic optimal phases. The first optimal phase aims at dynamically benefiting a user with discount price by transparently migrating his or her task execution from a VM located at a server with high energy consumption to a low one. The second optimal phase aims at shortening task's execution time, through transparently migrating a task execution from a VM to another one located at a server with higher performance. Experimental evaluation upon large scale service computing across clouds demonstrates the validity of our method.

Cost optimal resource provisioning for live video forwarding across video data centers

Live video forwarding for IP cameras has become a popular service in video data centers. In the forwarding service, requests of end users from different regions arrive in real-time to gain live video streams of IP cameras from inter-connected video data centers. A fundamental scheduling problem is how to assign resources with the global optimal resource cost and forwarding delay to forward live video streams. We introduce the resource provisioning cost as the combination of media server cost, connection bandwidth cost, and forwarding delay cost. In this paper, a multi-objective resource provisioning (MORP) approach is proposed to deal with the online inter-datacenter resource provisioning problem. The approach aims at minimizing the resource provisioning cost during live video forwarding. It adaptively allocates media servers in appropriate video data centers and connects the chosen media servers together to provide system scalability and connectivity. Different from previous works, MORP takes both resource capacity and diversity (e.g. location and price) into consideration during live video forwarding. Finally, the experimental results show that MORP approach not only cuts the resource provisioning cost of 3% to 10% comparing to the bench mark approach, but also shortens the resource provisioning delay.