Detaljhandelns användande av frontlinjepersonalen, som betydelsefull faktor för kundrelationer och skapande av intäkt

Syftet med denna studie var att komma fram till om kedjeföretag inom detaljhandeln intagit ett serviceperspektiv, där fokus ligger på relationer. Detta genom att undersöka hur aktörerna använder sin frontlinjepersonal. En kvalitativ flerfallstudie har genomförts där tre kedjeföretag bidragit med information rörande transaktions- eller relationsorienterad försäljning, medarbetarskap och betraktande av frontlinjepersonalen. Utgångspunkten för analys av fallstudierna har varit två intervjuer per företag. Dels med butikens högste chef samt med en medarbetare. Det teoretiska ramverket i denna studie rörande medarbetarskap, skapande av värde/nytta för kund samt intern marknadsföring som möjliggör att kund upplever hög tjänstekvalité, signalerar ett tankesätt inom ett serviceperspektiv och används för att svara på syftet. Huruvida kedjeföretagen intagit ett serviceperspektiv fullt ut, är inte möjligt att konkludera i denna småskaliga forskningsuppsats. Vidare forskning är nödvändig. Resultatet från de undersökta företagen i denna studie visar på tendenser till att utveckla ett serviceperspektiv med fokus på goda kundrelationer, vilket är det som skall ge framgång. De undersökta kedjeföretagen skiljer sig dock åt vad gäller intagandet av ett serviceperspektiv. Exempelvis förlitar sig ett företag alltjämt till lågt pris och produktens egenskaper som primära faktorer för intäktsskapande, medan andra premierar det personliga mötet.

Optimal retail location and CO2 emissions

In this paper, the p-median model is used to find the location of retail stores that minimizes CO2 emissions from consumer travel. The optimal location is then compared with the existing retail location,and the excess CO2 emissions compared with the optimal solution is calculated. The results show that by using the environmentally optimal location, CO2 emissions from consumer travel could be reduced by approximately 25percent. 

An empirical test of the gravity p-median model

A customer is presumed to gravitate to a facility by the distance to it and the attractiveness of it. However regarding the location of the facility, the presumption is that the customer opts for the shortest route to the nearest facility.This paradox was recently solved by the introduction of the gravity p-median model. The model is yet to be implemented and tested empirically. We implemented the model in an empirical problem of locating locksmiths, vehicle inspections, and retail stores ofv ehicle spare-parts, and we compared the solutions with those of the p-median model. We found the gravity p-median model to be of limited use for the problem of locating facilities as it either gives solutions similar to the p-median model, or it gives unstable solutions due to a non-concave objective function.

Measuring CO2 emissions induced by online and brick-and-mortar retailing

We develop a method for empirically measuring the difference in carbon footprint between traditional and online retailing (“e-tailing”) from entry point to a geographical area to consumer residence. The method only requires data on the locations of brick-and-mortar stores, online delivery points, and residences of the region’s population, and on the goods transportation networks in the studied region. Such data are readily available in most countries, so the method is not country or region specific. The method has been evaluated using data from the Dalecarlia region in Sweden, and is shown to be robust to all assumptions made. In our empirical example, the results indicate that the average distance from consumer residence to a brick-and-mortar retailer is 48.54 km in the studied region, while the average distance to an online delivery point is 6.7 km. The results also indicate that e-tailing increases the average distance traveled from the regional entry point to the delivery point from 47.15 km for a brick-and-mortar store to 122.75 km for the online delivery points. However, as professional carriers transport the products in bulk to stores or online delivery points, which is more efficient than consumers’ transporting the products to their residences, the results indicate that consumers switching from traditional to e-tailing on average reduce their CO2 footprints by 84% when buying standard consumer electronics products. 

Measuring CO2 emissions induced by online and brick-and-mortar retailing

We develop a method for empirically measuring the difference in carbon footprint between traditional and online retailing (“e-tailing”) from entry point to a geographical area to consumer residence. The method only requires data on the locations of brick-and-mortar stores, online delivery points, and residences of the region’s population, and on the goods transportation networks in the studied region. Such data are readily available in most countries, so the method is not country or region specific. The method has been evaluated using data from the Dalecarlia region in Sweden, and is shown to be robust to all assumptions made. In our empirical example, the results indicate that the average distance from consumer residence to a brick-and-mortar retailer is 48.54 km in the studied region, while the average distance to an online delivery point is 6.7 km. The results also indicate that e-tailing increases the average distance traveled from the regional entry point to the delivery point from 47.15 km for a brick-and-mortar store to 122.75 km for the online delivery points. However, as professional carriers transport the products in bulk to stores or online delivery points, which is more efficient than consumers’ transporting the products to their residences, the results indicate that consumers switching from traditional to e-tailing on average reduce their CO2 footprints by 84% when buying standard consumer electronics products. 

To what extent are CO2 emissions from intra-urban shopping trips by cars affected by drivers’ travel behaviour and store location?

Transportation is seen as one of the major sources of CO2 pollutants nowadays. The impact of increased transport in retailing should not be underestimated. Most previous studies have focused on transportation and underlying trips, in general, while very few studies have addressed the specific affects that, for instance, intra-city shopping trips generate. Furthermore, most of the existing methods used to estimate emission are based on macro-data designed to generate national or regional inventory projections. There is a lack of studies using micro-data based methods that are able to distinguish between driver behaviour and the locational effects induced by shopping trips, which is an important precondition for energy efficient urban planning. The aim of this study is to implement a micro-data method to estimate and compare CO2 emission induced by intra-urban car travelling to a retail destination of durable goods (DG), and non-durable goods (NDG). We estimate the emissions from aspects of travel behaviour and store location. The study is conducted by means of a case study in the city of Borlänge, where GPS tracking data on intra-urban car travel is collected from 250 households. We find that a behavioural change during a trip towards a CO2 optimal travelling by car has the potential to decrease emission to 36% (DG), and to 25% (NDG) of the emissions induced by car-travelling shopping trips today. There is also a potential of reducing CO2 emissions induced by intra-urban shopping trips due to poor location by 54%, and if the consumer selected the closest of 8 existing stores, the CO2 emissions would be reduced by 37% of the current emission induced by NDG shopping trips.

Testing the gravity p-median model empirically

Regarding the location of a facility, the presumption in the widely used p-median model is that the customer opts for the shortest route to the nearest facility. However, this assumption is problematic on free markets since the customer is presumed to gravitate to a facility by the distance to and the attractiveness of it. The recently introduced gravity p-median model offers an extension to the p-median model that account for this. The model is therefore potentially interesting, although it has not yet been implemented and tested empirically. In this paper, we have implemented the model in an empirical problem of locating vehicle inspections, locksmiths, and retail stores of vehicle spare-parts for the purpose of investigating its superiority to the p-median model. We found, however, the gravity p-median model to be of limited use for the problem of locating facilities as it either gives solutions similar to the p-median model, or it gives unstable solutions due to a non-concave objective function.

Effects of Alcohol and Training on Exercise Performance and Muscle Recovery Biochemistry in the Brown Anole (Anolis sagrei)

Contrary to previous research, training may improve exercise performance in a lizard, the brown anole. A brief, two-week training period resulted in increased performance speed and distance before exhaustion in trained lizards. Trained lizards were also able to more effectively use leg glycogen stores, however each of these improvements were not found in lizards treated with alcohol. Liver glycogen concentrations were also lower in alcohol-treated lizards, and patterns of liver glycogen concentrations during recovery indicate some hepatic lactate gluconeogenesis.

Using GIS Network Analyst to Identify Suppliers for a Produce Co-op in Waterville, ME

The idea for organizing a cooperative market on Waterville Main Street was proposed by Aime Schwartz in the fall of 2008. The Co-op would entail an open market located on Main Street to provide fresh, local produce and crafts to town locals. Through shorter delivery distances and agreements with local farmers, the co-op theoretically will offer consumers lower prices on produce than can be found in conventional grocery stores, as well as an opportunity to support local agriculture. One of the tasks involved with organizing the Co-op is to source all of the produce from among the hundreds of farmers located in Maine. The purpose of this project is to show how Geographic Information System (GIS) tools can be used to help the Co-op and other businesses a) site nearby farms that carry desired produce and products, and b) determine which farms are closest to the business site. Using GIS for this purpose will make it easier and more efficient to source produce suppliers, and reduce the workload on business planners. GIS Network Analyst is a tool that provides network-based spatial analysis, and can be used in conjunction with traditional GIS technologies to determine not only the geometric distance between points, but also distance over existing networks (like roads). We used Network Analyst to find the closest produce suppliers to the Co-op for specific produce items, and compute how far they are over existing roads. This will enable business planners to source potential suppliers by distance before contacting individual farmers, allowing for more efficient use of their time and a faster planning process.

Effective Data Management Enables Intelligent Utility Management

Instrumentation and automation plays a vital role to managing the water industry. These systems generate vast amounts of data that must be effectively managed in order to enable intelligent decision making. Time series data management software, commonly known as data historians are used for collecting and managing real-time (time series) information. More advanced software solutions provide a data infrastructure or utility wide Operations Data Management System (ODMS) that stores, manages, calculates, displays, shares, and integrates data from multiple disparate automation and business systems that are used daily in water utilities. These ODMS solutions are proven and have the ability to manage data from smart water meters to the collaboration of data across third party corporations. This paper focuses on practical, utility successes in the water industry where utility managers are leveraging instantaneous access to data from proven, commercial off-the-shelf ODMS solutions to enable better real-time decision making. Successes include saving $650,000 / year in water loss control, safeguarding water quality, saving millions of dollars in energy management and asset management. Immediate opportunities exist to integrate the research being done in academia with these ODMS solutions in the field and to leverage these successes to utilities around the world.

Development Of Climate Change Information Database And Its Use In Civic Consciousness Enlightenment

GCM outputs such as CMIP3 are available via network access to PCMDI web site. Meteorological researchers are familiar with the usage of the GCM data, but the most of researchers other than meteorology such as agriculture, civil engineering, etc., and general people are not familiar with the GCM. There are some difficulties to use GCM; 1) to download the enormous quantity of data, 2) to understand the GCM methodology, parameters and grids. In order to provide a quick access way to GCM, Climate Change Information Database has been developed. The purpose of the database is to bridge the users and meteorological specialists and to facilitate the understanding the climate changes. The resolution of the data is unified, and climate change amount or factors for each meteorological element are provided from the database. All data in the database are interpolated on the same 80km mesh. Available data are the present-future projections of 27 GCMs, 16 meteorological elements (precipitation, temperature, etc.), 3 emission scenarios (A1B, A2, B1). We showed the summary of this database to residents in Toyama prefecture and measured the effect of showing and grasped the image for the climate change by using the Internet questionary survey. The persons who feel a climate change at the present tend to feel the additional changes in the future. It is important to show the monitoring results of climate change for a citizen and promote the understanding for the climate change that had already occurred. It has been shown that general images for the climate change promote to understand the need of the mitigation, and that it is important to explain about the climate change that might occur in the future even if it did not occur at the present in order to have people recognize widely the need of the adaptation.

Bordering on Disaster?

Borders, the bookstore, provides us with an instructive case study regarding our collective futures. While Amazon and Barnes & Noble made changes that both streamlined and changed their services, Borders followed the “business as usual” model. That led to Chapter 11, the closing of nearly a third of their stores, and a complete restructuring of all that’s left. Not many industry analysts think even this will be enough to keep the company afloat.

A formação de cestas de produtos em situações de compras repetidas : uma verificação empírica sobre a associação entre produtos em dois supermercados de Porto Alegre

Este documento constitui uma dissertação de mestrado, requisito parcial para a obtenção do grau de Mestre em Administração pela Universidade Federal do Rio Grande do Sul. O assunto é uma pesquisa sobre associações de compra do consumidor em situações de compras repetidas, envolvendo uma revisão da bibliografia pertinente ao tema, bem como uma pesquisa descritiva a partir dos dados de dois varejos supermercadistas de Porto Alegre, buscando um melhor entendimento sobre o tema. Os principais produtos da pesquisa são a construção teórica de sustentação à formação das cestas de produtos, a utilização dos dados contidos nos cupons de compra de dois supermercados de Porto Alegre com o objetivo de verificar a existência de associações estáveis ao longo do tempo, bem como uma análise interpretativa dos resultados encontrados. As conclusões da pesquisa são a apresentação e a caracterização das associações estáveis encontradas nas lojas e a comparação entre as mesmas, o que possibilita importantes implicações para o estudo das associações de compra. Além disso, algumas hipóteses são geradas entre as associações e o volume de vendas dos supermercados, que deverão ser objeto de estudos futuros.

Guia de Preservação e Segurança da Biblioteca Nacional

Este Guia de Preservação & Segurança da Biblioteca Nacional para salvaguarda do seu acervo e do seu edifício tem por objetivo apresentar orientações, caminhos e rotas para procedimentos e atitudes relativas as questões desta natureza, importantes e vitais nesta era de tantas incertezas. Como base toma-se o saber adquirido no campo da preservação de bens culturais e no campo da política de segurança adotada para acervos bibliográficos e documentais, para usuários e para os edifícios que os abriga. O caráter interdisciplinar que concerne a estes campos do conhecimento sinaliza para o aprimoramento educacional da população como um todo e para nossa memória cultural. Visa a mudança do papel do homem como crítico da natureza, como agente transformador da realidade e de si próprio.

O varejo de alimentos para consumidores de baixa renda no Brasil

Mesmo se considerarmos que significativa parcela da população mundial pertence à baixa renda, relativamente pouco se tem pesquisado sobre esse segmento de mercado. O principal objetivo deste estudo é investigar o varejo de alimentos para consumidores de baixa renda, no Brasil. O trabalho traz uma retrospectiva dos resultados de algumas pesquisas já realizadas sobre o mercado de baixa renda no Brasil, e também apresenta um referencial conceitual para ajudar a ordenar e compreender o comportamento desse segmento no varejo. Foram analisados três diferentes formatos de varejo de alimentos em uma região da periferia de São Paulo, e como suas respectivas propostas de valor são percebidas pelos seus consumidores. Por meio de visitas a essas às lojas e entrevistas em profundidade e discussões em grupo com esses consumidores, começamos a entender porque os novos formatos varejistas desenvolvidos, por grandes empresas globais, especialmente para o segmento de baixa renda, não conseguem satisfazer adequadamente as necessidades desses consumidores, no Brasil. O posicionamento excessivamente voltado para preço baixo desses formatos não entrega uma proposta de valor que seja percebida de forma favorável por esses consumidores. A pesquisa revela esse aparente paradoxo, pois a loja mais bem avaliada e preferida pela maioria dos clientes pesquisados foi aquela com os preços mais altos. Verificou-se como as características peculiares do comportamento do consumidor de baixa renda determinam a sua percepção de valor. Apesar de externarem um discurso racional e destacarem a relevância do fator preço, percebemos que esses consumidores são extremamente influenciados por aspectos percebidos de forma menos conscientes que a loja apresenta, como a disposição dos produtos, a variedade, a comunicação visual, o atendimento, e o respeito com que a loja trata seus clientes.