893 resultados para RETAIL ESTABLISHMENTS


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The development of large discount retailers, or big-boxes as they are sometimes referred to, are often subject to heated debate and their entry on a market is greeted with either great enthusiasm or dread. For instance, the world’s largest retailer Wal-Mart (Forbes 2014) has a number of anti- and pro-groups dedicated to its being and the event of a Wal-Mart entry tends to be met with protests and campaigns (Decamme 2013) but also welcomed by, for instance, consumers (Davis & DeBonis 2013). Also in Sweden, the entry of a big box is a hot topic and before IKEA’s opening i Borlänge 2013, the first in Sweden in more than five years, great expectations were mixed with worry (Västerbottens-Kuriren 2011).The presence of large scale discount retailers is not, however, a novel phenomenon but a part of a long-term change in retailing that has taken place globally over the past couple of decades (Taylor & Smalling, 2005). As noted by Dawson (2006), the trend in Europe has over the past few decades gone towards an increasing concentration of large firms along with a decrease of smaller firms.This trend is also detectable in the Swedish retail industry. Over the past decade, the retailing industry in Sweden has increased by around 190 Billion SEK, and its share of GDP has risen from 2,7% to 2,9%, while the number of employees have increased from 200 000 to 250 000 (HUI 2013). This growth, however, has not been distributed evenly but rather it has been oriented mainly towards out-of-town retail clusters. Parallel to this development, the number of large retailers has risen at the expense of market shares of smaller independent firms (Rämme et al 2010). Thereby, the presence of large scale retailers is simply part of a changing retail landscape.The effects of this development, where large scale retailing agents relocate shopping to out-of-town shopping areas, have been heavily debated. On the one hand, the big-boxes are accused of displacing independent small retail businesses in the city-centers and the residential areas, resulting in, to some extent, reduced employment opportunities and less availability for the consumers - especially the elderly (Ljungberg et al 2006). In addition, as access to shopping now tends to require some sort of a motorized vehicle, environmental aspects to the discussion have emerged. Ultimately these types of concerns have resulted in calls for regulations against this development (Olsson 2010). On the other hand, the proponents of the new shopping landscape argue that this evolution implies productivity gains, the benefits of lower prices and an increased variety of products (Maican & Orth 2012). Moreover it is argued that it leads to, for instance, better services (such as longer opening hours) and a creative destruction transformation pressure on retailers, which brings about a renewal of city-centerIIretail and services, increasing their attractivity (Bergström 2010). The belief in benefits of a big box entry can be exemplified by the attractivity of IKEA, and the fact that municipalities are prepared to commit to expenses amounting up to hundreds of millions in order to attract the entry of this big-box. Borlänge municipality, for instance, agreed to expenses of about 350 million SEK in order to secure the entry of IKEA, which opened in 2013 (Blomgren 2009).Against this backdrop, the overall effects of large discount retailers become important: Are the economic benefits enough to warrant subsidies or are there, on the contrary, some very compelling grounds for regulations against these types of establishments? In other words; how is overall retail in a region where a store like IKEA enters affected? And how are local retail firms affected?In order to answer these questions, the purpose of this thesis is to study how entry of a big-box retailer affects the entry region. The object of this study is IKEA - one of the world’s largest retailers, with 345 stores, active in over 40 countries and with profits of about 3.3 billion (IKEA 2013; IKEA 2014). By studying the effects of IKEA-entry, both on an aggregated level and on firm level, this thesis intends to find indications of how large discount retail establishments in general can be expected to affect the economic development both in a region overall, but also on the local firm level, something which is of interest to both policymakers as well as the retailing industry in general.The first paper examines the effects of IKEA on retail revenues and employment in the municipalities that IKEA chose to enter between 2000 and 2011; Gothenburg, Haparanda, Kalmar and Karlstad. By means of a matching method we first identify non-entry municipalities that have a similar probability of IKEA entry as the true entry municipalities. Then, using these non-entry municipalities as a control group, the causal effects of IKEA entry can be estimated using a treatment-control approach. We also extend the analysis to examine the spatial impact of IKEA by estimating the effects on retail in neighboring municipalities. It is found that a new IKEA store increases revenues in durable goods trade with 20% in the entry municipality and the number of employees with 17%. Only small, and in most cases statistically insignificant, negative effects were found in neighboring municipalities.It appears that there is a positive net effect on durables retail sales and employment in the entry municipality. However, the analysis is based on data on an aggregated municipality level and thereby it remains unclear if and how the effects vary within the entry municipalities. In addition, the data used in the first study includes the sales and employment of IKEA itself, which could account for the majority of the increases in employment and retail. Thereby the potential spillover effects on incumbent retailers in the entry municipalities cannot be discerned in the first study.IIITo examine effects of IKEA entry on incumbent retail firms, the second paper in this thesis analyses how IKEA entry affects the revenues and employment of local retail firms in three municipalities; Haparanda, Kalmar and Karlstad, which experienced entry by IKEA between 2000 and 2010. In this second study, we exclude Gothenburg due to the fact that big-box entry appears to have weaker effects in metropolitan areas (as indicated by Artz & Stone 2006). By excluding Gothenburg we aim to reduce the geographical heterogeneity in our study. We obtain control municipalities that are as similar as possible to the three entry municipalities using the same method as in the previous study, but including a slightly different set of variables in the selection equation. Using similar retail firms in the control municipalities as our comparison group, we estimate the impact of IKEA entry on revenues and employment for retail firms located at varying distances from the IKEA entry site.The results generated in this study imply that entry by IKEA increases revenues in incumbent retail firms by, on average, 11% in the entry municipalities. In addition, we do not find any significant impact on retail revenues in the city centers of the entry municipalities. However, we do find that retail firms within 1 km of the IKEA experience increases in revenues of about 26%, which indicates large spillover effects in the area nearby the entry site. As expected, this impact decreases as we expand the buffer zone: firms located between 0-2 km experiences a 14% increase and firms in 2-5 km experiences an increase of 10%. We do not find any significant impacts on retail employment.

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Este trabajo se encuentra bajo la licencia Creative Commons Attribution 3.0.

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This ranks private, public and foreign-affiliated companies by the number of employees on their South Carolina payrolls as of July 1, 2008, and then compares the progress of participating companies from year to year. The South Carolina Big 50 includes financial institutions, insurance companies, retailers, retail establishments, hospitals and healthcare organizations. The South Carolina Big 50, however, does exclude government agencies and organizations. The top company remained the same as in the 2007 issue, with Wal-Mart Stores Inc. continuing to be ranked No. 1. BI-LO LLC and Palmetto Health moved from No. 3 and No. 4 to No. 2 and No. 3 respectively.

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In this computerized, globalised and internet world our computer collects various types of information’s about every human being and stores them in files secreted deep on its hard drive. Files like cache, browser history and other temporary Internet files can be used to store sensitive information like logins and passwords, names addresses, and even credit card numbers. Now, a hacker can get at this information by wrong means and share with someone else or can install some nasty software on your computer that will extract your sensitive and secret information. Identity Theft posses a very serious problem to everyone today. If you have a driver’s license, a bank account, a computer, ration card number, PAN card number, ATM card or simply a social security number you are more than at risk, you are a target. Whether you are new to the idea of ID Theft, or you have some unanswered questions, we’ve compiled a quick refresher list below that should bring you up to speed. Identity theft is a term used to refer to fraud that involves pretending to be someone else in order to steal money or get other benefits. Identity theft is a serious crime, which is increasing at tremendous rate all over the world after the Internet evolution. There is widespread agreement that identity theft causes financial damage to consumers, lending institutions, retail establishments, and the economy as a whole. Surprisingly, there is little good public information available about the scope of the crime and the actual damages it inflicts. Accounts of identity theft in recent mass media and in film or literature have centered on the exploits of 'hackers' - variously lauded or reviled - who are depicted as cleverly subverting corporate firewalls or other data protection defenses to gain unauthorized access to credit card details, personnel records and other information. Reality is more complicated, with electronic identity fraud taking a range of forms. The impact of those forms is not necessarily quantifiable as a financial loss; it can involve intangible damage to reputation, time spent dealing with disinformation and exclusion from particular services because a stolen name has been used improperly. Overall we can consider electronic networks as an enabler for identity theft, with the thief for example gaining information online for action offline and the basis for theft or other injury online. As Fisher pointed out "These new forms of hightech identity and securities fraud pose serious risks to investors and brokerage firms across the globe," I am a victim of identity theft. Being a victim of identity theft I felt the need for creating an awareness among the computer and internet users particularly youngsters in India. Nearly 70 per cent of Indian‘s population are living in villages. Government of India already started providing computer and internet facilities even to the remote villages through various rural development and rural upliftment programmes. Highly educated people, established companies, world famous financial institutions are becoming victim of identity theft. The question here is how vulnerable the illiterate and innocent rural people are if they suddenly exposed to a new device through which some one can extract and exploit their personal data without their knowledge? In this research work an attempt has been made to bring out the real problems associated with Identity theft in developed countries from an economist point of view.

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The growth parameters (growth rate, mu and lag time, lambda) of three different strains each of Salmonella enterica and Listeria monocytogenes in minimally processed lettuce (MPL) and their changes as a function of temperature were modeled. MPL were packed under modified atmosphere (5% O-2, 15% CO2 and 80% N-2), stored at 7-30 degrees C and samples collected at different time intervals were enumerated for S. enterica and L monocytogenes. Growth curves and equations describing the relationship between mu and lambda as a function of temperature were constructed using the DMFit Excel add-in and through linear regression, respectively. The predicted growth parameters for the pathogens observed in this study were compared to ComBase, Pathogen modeling program (PMP) and data from the literature. High R-2 values (0.97 and 0.93) were observed for average growth curves of different strains of pathogens grown on MPL Secondary models of mu and lambda for both pathogens followed a linear trend with high R2 values (>0.90). Root mean square error (RMSE) showed that the models obtained are accurate and suitable for modeling the growth of S. enterica and L monocytogenes in MP lettuce. The current study provides growth models for these foodborne pathogens that can be used in microbial risk assessment. (C) 2011 Elsevier Ltd. All rights reserved.

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A Hazard Analysis and Critical Control Point (HACCP) system is a plan to reduce the risk of safety hazards in food. The HACCP System identifies potential biological, chemical and physical hazards from the time the food enters the facility to when it is served. The Hazard Analysis identifies critical control points based on the ingredients, raw materials and processes. Control measures are then identified, implemented and monitored to ensure the ongoing safety of the finished products.

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This fact sheet cites SC Regulation 61-25 and lists accredited training programs for the Food Protection Manager Certification Program

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This regulation explains that retail food establishments that prepare sushi rice must take additional measures to ensure the safety of those that consume it. In addition to the standard temperature requirements, sushi rice safety may also be controlled by time or pH standards. The Department of Health and Environmental Control requires one of the following methods be implemented for safe sushi rice production: Maintaining Temperature Control, Use Time as a Public Health Control, Product Assessment (PA) & pH Monitoring, Submit a HACCP Plan to the Department for Review.

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“Quien contamina, paga“, con esta premisa surgió la idea de este Trabajo Fin de Máster, en adelante TFM, cuyo objetivo era identificar medidas alternativas reales para una optimización del proceso actual de gestión de residuos sólidos urbanos ante una sociedad cada vez más superpoblada y con mayores ratios de consumo. Cada español genera anualmente un volumen de 485 Kg de residuos, de los cuales únicamente el 33 % son reciclados y pueden volver a un flujo normal de uso, especialmente preocupante durante los últimos años es el auge de los productos envasados, tanto de bebidas como de alimentos , cuya utilización se ha duplicado en la última década. La motivación de este trabajo Fin de Máster ha sido la de poner de manifiesto que la sostenibilidad con el medioambiente puede ir de la mano de la rentabilidad y del progreso. Durante este TFM se ha estudiado y analizado la viabilidad económica de implantación de un nuevo modelo de depósito, devolución y retorno en el mercado retail español y como con la adopción de este nuevo sistema se pueden lograr beneficios tanto para el propio minorista, como para el medio ambiente con ratios de reciclado superiores al 98%. La preocupación por el medio ambiente empieza a ser una constante entre los consumidores españoles y dicha preocupación comienza a ser influenciadora en las decisiones de compra (productos eco, sostenibilidad…). Nuestra propuesta consiste en dotar a los principales distribuidores del sector retail español de un sistema de depósito, devolución y retorno para envases de bebidas capaz de generar diferenciación, innovación y rentabilidad frente a la competencia. Dicho sistema consiste en pagar un depósito por cada envase de bebida que se adquiera y su correspondiente devolución en la siguiente compra, una vez que se devuelva vacío al establecimiento. Para ello se ha analizado el sector de la distribución en España, especialmente la distribución de bebidas. Se trata de un sector muy competitivo, que presenta varios formatos en función del tamaño del establecimiento (Hipermercados, Supermercados, tiendas tradicionales). Las principales empresas distribuidoras (Carrefour, Mercadona, Alcampo, Eroski, DIA) se encuentran en procesos de cambios estratégicos para lograr atraer a más consumidores hacia sus tiendas, por lo que nuestra propuesta podrá añadir valor a la hora de influenciar en la decisión del lugar de compra. En nuestro caso, nos dirigiremos principalmente a las grandes empresas distribuidoras, Hipermercados de más de 2.500 m2 ,que cuentan con más de 500 puntos de venta y distribución donde existe la posibilidad real de implantar un SDDR. Además se ha realizado un estudio de mercado sobre la influencia de dicho sistema en el consumidor final, donde se ha detectado dos segmentos principales cuya decisión de compra se vería muy influenciada por la implantación de un SDDR, un segmento Sénior, entre 45-54 años, preocupados por el medio ambiente y con poder adquisitivo suficiente como para que el pago del depósito no sea bloqueante, y un segmento Junior, entre 18-24 años, también muy concienciado el medio ambiente, de capacidad económica menor pero qué influye en la decisión de compra de sus progenitores. Para llevar a cabo este plan de negocio será necesario una inversión inicial de 57.000 €, con unas expectativas de recuperación de dicha inversión en el primer año y una TIR del 56%, presentando un VAN de 127.961 € para los 7 años de vida del proyecto. Para dar a conocer a los clientes del Hipermercado los beneficios de utilizar un sistema SDDR, se realizarán campañas de marketing a través de diferentes canales, promociones de apertura, acciones de marketing exteriores y planes de fidelización. La organización e implantación en el Hipermercado será muy sencilla con roles claramente diferenciados, únicamente involucraría a unos 9 recursos definidos y en aproximadamente 3 meses desde el inicio del proyecto ya se podría ofertar dicho servicio a los clientes del Hipermercado. Además se han analizado los principales riesgos a los que se enfrentaría el negocio, ponderándose en una matriz impacto-probabilidad. Se han establecido medidas correctoras en el caso que dicho riesgo aflore. Habrá que tener especialmente precaución con la pérdida de ventas durante el arranque del negocio en el caso que esto ocurra, por lo que se deberá controlar el gasto, fomentar la captación de clientes y mantener un fondo de maniobra lo suficientemente elevado como para absorber dicho riesgo.---ABSTRACT---“Polluters pay”, with this premise this TFM aimed at identifying real alternative measures for optimization of the current process of solid waste management in a crowded society and with greater consumption ratios. Spaniards generates an annual volume of 485 kg of waste; only 33 % are recycled and can return to a normal flow. Specially concern is the increased of packaged product in recent years, mainly drink and food, their use has been duplicated in the last decade. The motivation for this Thesis was to highlight that sustainability, profitability and progress can go together. During this TFM has been studied and analyzed the economic feasibility of implementing a new model of deposit , refund and return in the Spanish retail market and as with the adoption of this new system can achieve benefits for the retailer itself therefore to the environment with ratios above 98% recycled. Concern for the environment is becoming a constant among Spanish consumers , and this concern is becoming influencer in purchasing decisions ( eco, sustainability ... ) . Our proposal is to provide the main distributors of the Spanish retail sector a system of deposit, refund and return for beverage containers capable of generating differentiation, innovation and profitability over the competition. This system is to pay a deposit for each beverage container they purchase and their corresponding return in the next purchase, once they return empty to the establishment. For this we have analyzed the distribution sector in Spain, especially the distribution of beverages. This is a highly competitive industry, which features various formats depending on the size of establishments (hypermarkets, supermarkets, traditional shops). The main distribution companies (Carrefour, Mercadona, Alcampo, Eroski, DIA) are in the process of strategic changes in order to attract more consumers to their stores, so that our approach can add value in influencing the decision of place shopping. In our case, we will go mainly to large distributors, Hypermarkets of over 2,500 m2, which have more than 500 outlets and distribution where there is a real possibility of implementing a SDDR. It has also conducted a market study on the influence of that system on the final consumer, which has detected two main segments whose purchasing decisions would be greatly influenced by the introduction of a SDDR, a Senior segment, 45-54 years concerned about the environment and purchasing power enough that the deposit is not blocking, and a Junior Segment, aged 18-24, also concern with environment, lower economic capacity but what influences the decision purchase of their parents). To carry out this business plan will require an initial investment of 57,000 €, with expectations of recovery of such investment in the first year and an IRR of 56%, with an NPV of € 127,961 for the 7 years of the project . To publicize hypermarket customers the benefits of using a SDDR system, marketing campaigns conducted through different channels, opening promotions, marketing activities and external loyalty schemes. The organization and implementation in the Hypermarket is easy with distinct roles, involve only about 9 resourced and in about 3 months from the start of the project and could offer this service to customers in the hypermarket. We have also analyzed the main risks and established corrective measures to surface that risk . We should take caution with lost sales during startup of the business, such as control spending, customer retention and maintaining enough working capital.

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