Design and implementation of an assurance map at Sonae retail business

The present Working Project aims at studying the topic of assurance mapping in a specific organizational context of a Portuguese retail company. For this purpose, an assurance map framework was designed to support the decision making process of stakeholders, through the delivery of comfort concerning risks, operations and control. In the end, the framework was successfully implemented for the process sourcing of goods in two business units of the company. Although, further implementation of the framework proved not to be feasible during the project’s timespan, it is expected to occur in the near future.

ATTITUDES TOWARD RUSSIAN CUSTOMERS IN THE FINNISH RETAIL TRADE SECTOR – A salesperson’s point of view

The amount of Russian tourists in Finland has increased significantly in the past years. The impact of Russian tourism to the Finnish retail trade sector is enormous, since Russian tourists often spend a lot of money particularly on shopping. Shopping tourism is mainly focused in the near border cities, such as Imatra and Lappeenranta, and in addition in Helsinki metropolitan area. The purpose of this study is to map the attitudes and perceptions of the sales personnel who are working in the Finnish retail trade sector towards Russian customers and to discover which elements affect these attitudes. The theories in this study are based on cultural elements and elements related to sales behavior and performance. Cultural differences between Finland and Russia, cultural distance and cultural intelligence form the cultural aspect of this study. Customer orientation vs. sales orientation (SOCO), adaptive selling, selling skills and job competency, salesperson’s affect and empathy toward customers, and job autonomy form the elements concerning sales behavior and performance. Furthermore, the attitude – behavior link, based on social psychology is addressed. A survey was conducted in two retail trade chains operating in Finland. These retail companies have stores and department stores in different geographical areas in Finland and the survey was conducted in altogether 19 cities. In addition to the theories that were discussed, two expert interviews were conducted in order to get a deeper understanding of the phenomenon at hand. Moreover the interviews helped in the formulation of the hypotheses and the questionnaire design. The questionnaires were sent directly to the stores, where they were placed so that they were available for the sales personnel. Altogether 487 usable responses were collected. The returned questionnaires were analyzed with IBM SPSS 21 statistics program. The results of this study indicated that the attitudes toward Russian customers are more negative compared to other foreign customers. However, the respondents’ attitudes toward and perceptions of Russian customers varied a lot. From the background variables age, education level, length of employment in current workplace, and length of experience in customer service had an effect on the attitudes of the respondents. In addition, the perceptions of Russian customers were more positive in the Eastern Finland compared to Helsinki metropolitan area. The cultural elements; cultural knowledge, cultural distance and cultural intelligence all affected the attitudes of the respondents. From the elements related to sales behavior and performance customer orientation, salesperson’s affect and empathy toward customers, and perceived job autonomy had an effect on the attitudes

Escenarios del retail en Bogotá

Durante los últimos años el principal motor de la industria es el comercio, esta actividad económica de la ciudad ha permitido un trabajo en conjunto con las empresas productoras que conlleva beneficios y rentabilidad para ambos sectores satisfaciendo las necesidades de los habitantes de la capital. La importancia de la planeación estratégica por escenarios en el comercio al por menor permite un acercamiento sistémico que relata la interacción de este con su entorno, brindando herramientas para la toma decisiones por parte de la alta gerencia de las empresas del Retail en la capital basándose en la identificación de variables claves que permiten la generación de escenarios a futuro por medio de hipótesis.

Employer perceptions of skills gaps in retail:issues and implications for UK retailers

Purpose – This paper seeks to identify the skills gaps associated with retail employees in SME and multiple retail companies, and to investigate the potential training and business implications that arise from these skills gaps, from the point of view of retail employers. Design/methodology/approach – Research was conducted within one geographical region and across five counties within the UK. Telephone and face-to-face interviews and focus group workshops were conducted, resulting in responses from 52 retailers. Findings – The key issues and areas of concern to emerge were: the industry image and impact on recruitment and retention; employee and management skills gaps; and barriers to training. Research limitations/implications – The findings highlight the need for UK retail industry to raise the image of the sector, to identify the skills sets for specific roles, and to clarify the retail qualifications and training required delivering these. Originality/value – Succeeds in identifying the skills gaps associated with retail employees in SME and multiple retail companies and in investigating the potential training and business implications arising from these skills gaps.

Consequences of interorganizational information systems: An empirical investigation of the effects of EDI use on interorganizational relationships in the retail industry

This dissertation examines the consequences of Electronic Data Interchange (EDI) use on interorganizational relations (IR) in the retail industry. EDI is a type of interorganizational information system that facilitates the exchange of business documents in structured, machine processable form. The research model links EDI use and three IR dimensions--structural, behavioral, and outcome. Based on relevant literature from organizational theory and marketing channels, fourteen hypotheses were proposed for the relationships among EDI use and the three IR dimensions.^ Data were collected through self-administered questionnaires from key informants in 97 retail companies (19% response rate). The hypotheses were tested using multiple regression analysis. The analysis supports the following hypothesis: (a) EDI use is positively related to information intensity and formalization, (b) formalization is positively related to cooperation, (c) information intensity is positively related to cooperation, (d) conflict is negatively related to performance and satisfaction, (e) cooperation is positively related to performance, and (f) performance is positively related to satisfaction. The results support the general premise of the model that the relationship between EDI use and satisfaction among channel members has to be viewed within an interorganizational context.^ Research on EDI is still in a nascent stage. By identifying and testing relevant interorganizational variables, this study offers insights for practitioners managing boundary-spanning activities in organizations using or planning to use EDI. Further, the thesis provides avenues for future research aimed at understanding the consequences of this interorganizational information technology. ^

Waste Not, Want Not: Managing Perishables in Small and Medium Retail Enterprises

Purpose of this paper:
Recent literature indicates that around one third of perishable products finish as waste (Mena et al., 2014): 60% of this waste can be classified as avoidable (EC, 2010) suggesting logistics and operational inefficiencies along the supply chain. In developed countries perishable products are predominantly wasted in wholesale and retail (Gustavsson et al., 2011) due to customer demand uncertainty the errors and delays in the supply chain (Fernie and Sparks, 2014). While research on logistics of large retail supply chains is well documented, research on retail small and medium enterprises’ (SMEs) capabilities to prevent and manage waste of perishable products is in its infancy (c.f. Ellegaard, 2008) and needs further exploration. In our study, we investigate the retail logistics practice of small food retailers, the factors that contribute to perishable products waste and the barriers and opportunities of SMEs in retail logistics to preserve product quality and participate in reverse logistics flows.

Design/methodology/approach:
As research on waste of perishable products for SMEs is scattered, we focus on identifying key variables that contribute to the creation of avoidable waste. Secondly we identify patterns of waste creation at the retail level and its possibilities for value added recovery. We use explorative case studies (Eisenhardt, 1989) and compare four SMEs and one large retailer that operate in a developed market. To get insights into specificities of SMEs that affect retail logistics practice, we select two types of food retailers: specialised (e.g. greengrocers and bakers) and general (e.g. convenience store that sells perishable products as a part of the assortment)

Findings:
Our preliminary findings indicate that there is a difference between large retailers and SME retailers in factors that contribute to the waste creation, as well as opportunities for value added recovery of products. While more factors appear to affect waste creation and management at large retailers, a small number of specific factors appears to affect SMEs. Similarly, large retailers utilise a range of practices to reduce risks of product perishability and short shelf life, manage demand, and manage reverse logistics practices. Retail SMEs on the other hand have limited options to address waste creation and value added recovery. However, our findings show that specialist SMEs could successfully minimize waste and even create possibilities for value added recovery of perishable products. Data indicates that business orientation of the SME, the buyersupplier relationship, and an extent of adoption of lean principles in retail coupled with SME resources, product specific regulations and support from local authorities for waste management or partnerships with other organizations determine extent of successful preservation of a product quality and value added recovery.

Value:
Our contribution to the SCM academic literature is threefold: first, we identify major factors that contribute to the generation waste of perishable products in retail environment; second, we identify possibilities for value added recovery for perishable products and third, we present opportunities and challenges for SME retailers to manage or participate in activities of value added recovery. Our findings contribute to theory by filling a gap in the literature that considers product quality preservation and value added recovery in the context of retail logistics and SMEs.

Research limitations/implications:
Our findings are limited to insights from five case studies of retail companies that operate within a developed market. To improve on generalisability, we intend to increase the number of cases and include data obtained from the suppliers and organizations involved in reverse logistics flows (e.g. local authorities, charities, etc.).

Practical implications:
With this paper, we contribute to the improvement of retail logistics and operations in SMEs which constitute over 99% of business activities in UK (Rhodes, 2015). Our findings will help retail managers and owners to better understand the possibilities for value added recovery, investigate a range of logistics and retail strategies suitable for the specificities of SME environment and, ultimately, improve their profitability and sustainability.

Masculine, feminine or neutral? In-company equal opportunities policies in Irish and French MNC retailing

Several problematic aspects of women's paid employment - e.g. low pay and lack of promotional opportunities - are exacerbated by the segregation of women and men into different occupations. In this article, the potential of in-store equal opportunities policies to break down such gender segregation will be explored, through consideration of the existence and implementation of these policies in twenty-two multinational retail companies in Dublin and Paris. It will be argued that, with one notable exception, the instore equal opportunities policies are effectively neutralized, and furthermore are neutralized in nationally specific ways which can be related to differences between France and Ireland in the organization of labour-market regulation and in women's labour-force participation (LFP). The case-study findings also suggest that the 'country' variable has a stronger effect on the existence and implementation of these policies than the extent of a shop's links to an overseas headquarters. The findings of this study have implications for both the equity of women's incorporation into the paid labour force and understanding of aspects of HRM in branches of multinational companies.

Determination of electricity consumers’ load profiles via weighted evidence accumulation clustering using subsampling

With the electricity market liberalization, the distribution and retail companies are looking for better market strategies based on adequate information upon the consumption patterns of its electricity consumers. A fair insight on the consumers’ behavior will permit the definition of specific contract aspects based on the different consumption patterns. In order to form the different consumers’ classes, and find a set of representative consumption patterns we use electricity consumption data from a utility client’s database and two approaches: Two-step clustering algorithm and the WEACS approach based on evidence accumulation (EAC) for combining partitions in a clustering ensemble. While EAC uses a voting mechanism to produce a co-association matrix based on the pairwise associations obtained from N partitions and where each partition has equal weight in the combination process, the WEACS approach uses subsampling and weights differently the partitions. As a complementary step to the WEACS approach, we combine the partitions obtained in the WEACS approach with the ALL clustering ensemble construction method and we use the Ward Link algorithm to obtain the final data partition. The characterization of the obtained consumers’ clusters was performed using the C5.0 classification algorithm. Experiment results showed that the WEACS approach leads to better results than many other clustering approaches.

Knowledge extraction from medium voltage load diagrams to support the definition of electrical tariffs

With the electricity market liberalization, distribution and retail companies are looking for better market strategies based on adequate information upon the consumption patterns of its electricity customers. In this environment all consumers are free to choose their electricity supplier. A fair insight on the customer´s behaviour will permit the definition of specific contract aspects based on the different consumption patterns. In this paper Data Mining (DM) techniques are applied to electricity consumption data from a utility client’s database. To form the different customer´s classes, and find a set of representative consumption patterns, we have used the Two-Step algorithm which is a hierarchical clustering algorithm. Each consumer class will be represented by its load profile resulting from the clustering operation. Next, to characterize each consumer class a classification model will be constructed with the C5.0 classification algorithm.

An integrated system to support electricity tariff contract definition

This paper presents an integrated system that helps both retail companies and electricity consumers on the definition of the best retail contracts and tariffs. This integrated system is composed by a Decision Support System (DSS) based on a Consumer Characterization Framework (CCF). The CCF is based on data mining techniques, applied to obtain useful knowledge about electricity consumers from large amounts of consumption data. This knowledge is acquired following an innovative and systematic approach able to identify different consumers’ classes, represented by a load profile, and its characterization using decision trees. The framework generates inputs to use in the knowledge base and in the database of the DSS. The rule sets derived from the decision trees are integrated in the knowledge base of the DSS. The load profiles together with the information about contracts and electricity prices form the database of the DSS. This DSS is able to perform the classification of different consumers, present its load profile and test different electricity tariffs and contracts. The final outputs of the DSS are a comparative economic analysis between different contracts and advice about the most economic contract to each consumer class. The presentation of the DSS is completed with an application example using a real data base of consumers from the Portuguese distribution company.

Os retalhistas nas redes sociais : perceção dos consumidores

Dissertação de Mestrado em Ciências Económicas e Empresariais.

Análise e implementação de melhorias no serviço Pós-Venda na área automóvel

No âmbito da unidade curricular de Dissertação/Projeto/Estágio, pertencente ao segundo ano do Mestrado em Engenharia Mecânica – Ramo de Gestão Industrial do Instituto Superior de Engenharia do Porto, o presente trabalho foi desenvolvido no Grupo JAP, Grupo do setor automóvel, desenvolvido especificamente no serviço pós-venda. Numa realidade bastante diferente de outros tempos onde havia grandes margens com a venda de produtos, hoje a realidade é bem diferente. Num contexto de competição global onde as margens são mais reduzidas, o serviço pós-venda, onde o cliente é acompanhado desde da compra até o fim de vida do produto, constitui uma fonte de receitas relevante bem como um diferenciador chave dentre as empresas de revenda automóvel. Por estas razões, são cada vez mais as empresas que seguem a filosofia Lean, orientando toda a sua estrutura produtiva no sentido de atingir zero desperdícios, sem interferir com a qualidade do produto final. A realização deste projeto teve como objetivo o desenvolvimento e adequação de ferramentas de melhoria e apoio ao serviço pós-venda no Grupo. Com a elaboração deste trabalho, pretende-se fazer uma análise a todo o processo do serviço pós-venda, identificando os problemas que ocorrem ao longo do processo e desenvolver um plano de ações de melhoria, utilizando para isso as ferramentas da metodologia Lean. Em primeiro lugar, fez-se uma análise do processo do serviço pós-venda e do serviço do armazém de peças, onde foram identificados alguns pontos de melhoria e recolhidos as primeiras informações para uma análise mais aprofundada de cada problema. Posteriormente, estabeleceu-se um plano de ações para eliminar ou minimizar os desperdícios encontrados no processo, aumentar a produtividade e a qualidade do serviço prestado ao cliente, e procedeu-se à implementação das melhorias. Após a implementação das melhorias, fez-se uma avaliação das mesmas e constatou-se um aumento de produtividade, uma redução de desperdícios e um aumento dos índices de qualidade. Em suma uma melhoria no serviço prestado ao cliente.

Price spike forecasting in a competitive day-ahead energy market

Electricity price forecasting has become an important area of research in the aftermath of the worldwide deregulation of the power industry that launched competitive electricity markets now embracing all market participants including generation and retail companies, transmission network providers, and market managers. Based on the needs of the market, a variety of approaches forecasting day-ahead electricity prices have been proposed over the last decades. However, most of the existing approaches are reasonably effective for normal range prices but disregard price spike events, which are caused by a number of complex factors and occur during periods of market stress. In the early research, price spikes were truncated before application of the forecasting model to reduce the influence of such observations on the estimation of the model parameters; otherwise, a very large forecast error would be generated on price spike occasions. Electricity price spikes, however, are significant for energy market participants to stay competitive in a market. Accurate price spike forecasting is important for generation companies to strategically bid into the market and to optimally manage their assets; for retailer companies, since they cannot pass the spikes onto final customers, and finally, for market managers to provide better management and planning for the energy market. This doctoral thesis aims at deriving a methodology able to accurately predict not only the day-ahead electricity prices within the normal range but also the price spikes. The Finnish day-ahead energy market of Nord Pool Spot is selected as the case market, and its structure is studied in detail. It is almost universally agreed in the forecasting literature that no single method is best in every situation. Since the real-world problems are often complex in nature, no single model is able to capture different patterns equally well. Therefore, a hybrid methodology that enhances the modeling capabilities appears to be a possibly productive strategy for practical use when electricity prices are predicted. The price forecasting methodology is proposed through a hybrid model applied to the price forecasting in the Finnish day-ahead energy market. The iterative search procedure employed within the methodology is developed to tune the model parameters and select the optimal input set of the explanatory variables. The numerical studies show that the proposed methodology has more accurate behavior than all other examined methods most recently applied to case studies of energy markets in different countries. The obtained results can be considered as providing extensive and useful information for participants of the day-ahead energy market, who have limited and uncertain information for price prediction to set up an optimal short-term operation portfolio. Although the focus of this work is primarily on the Finnish price area of Nord Pool Spot, given the result of this work, it is very likely that the same methodology will give good results when forecasting the prices on energy markets of other countries.

Visual Customer Segmentation and Data Exploration with the Self-Organizing Map

Advancements in information technology have made it possible for organizations to gather and store vast amounts of data of their customers. Information stored in databases can be highly valuable for organizations. However, analyzing large databases has proven to be difficult in practice. For companies in the retail industry, customer intelligence can be used to identify profitable customers, their characteristics, and behavior. By clustering customers into homogeneous groups, companies can more effectively manage their customer base and target profitable customer segments. This thesis will study the use of the self-organizing map (SOM) as a method for analyzing large customer datasets, clustering customers, and discovering information about customer behavior. Aim of the thesis is to find out whether the SOM could be a practical tool for retail companies to analyze their customer data.

Fidelização de clientes a livrarias virtuais: um modelo heurístico

The conventional commercial relationship between suppliers and customers has undergone a profound change as a result of the technological advances that have been made in electronic transactions, such as the Internet. These transformations have not been entirely technological in nature, as they have also directly altered marketing activities. Due to a series of factors, companies are increasingly driven by their customer wishes and requirements, with Electronic Commerce being just one of the means of developing and maintaining this type of relationship, called Customer Relations Marketing. The Internet sites available allow companies to obtain information more easily about which aspects are most relevant to their target customer group in terms of their products and services, helping them to increase the value of commercial transactions on offer. The online marketing strategies of electronic retail companies aim to cultivate customer loyalty after the first purchase has been made, so that customers make repeat purchases. Virtual bookstores represent a particularly successful sector in the world of Electronic Commerce. However, to ensure profitability, the business models of these companies need to be based on customer loyalty, as there is stiff competition in this area. This research study seeks to develop a heuristic model, called 4Ps and 1F, for customer loyalty to virtual bookstores. The 4Ps represent one of the most traditional marketing concepts and the F relates to Customer Loyalty. In developing this model the aim is to see how each marketing P influences customer loyalty, thus identifying the factors critical to the success of virtual bookstores retaining customer loyalty.