With the increased popularity of the Internet, many studies have shown that stores with hifger customer loyalty usually have higher return. It is, therefore, interesting to build brand and store loyalty for Internet-based electronic stores. The customer loyalty on the Internet is called e-loyalty. Although scholars have paid attentions to the factors that may affect e-loyalty, most of them focus on a certain aspect of e-loyalty. There is a need to put together an integrated framework of e-loyalty. In this study, previous literature related to the topic is reviewed to propose a framework of four influential factors. They are web design, customer service, e-trust and brand building. In order to understand whether different kinds of e-stores would affect the power of different factors, the study uses ¡§store type¡¨ as a moderating variable. An empirial study was conducted to test our model. The results show that major factor that impacts e-satisfaction is e-trust. Web design ranked second; customer service and brand building were the third and the forth, respectively. The effects of four influential factors differ for the different types of e-stores, which indicates the moderating effect of stoer types.

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EXtensible Markup Language, XML, was designed as a markup language for structuring, storing and transporting data on the World Wide Web. The focus of XML is on data content; arbitrary markup is used to describe data. This versatile, self-describing data representation has established XML as the universal data format and the de facto standard for information exchange on the Web. This has gradually given rise to the need for efficient storage and querying of large XML repositories. To that end, we propose a new model for building a native XML store which is based on a generalisation of vertical decomposition. Nodes of a document satisfying the same label-path, are extracted and stored together in a single container, a Stripe. Stripes make use of a labelling scheme allowing us to maintain full structural information. Over this new representation, we introduce various evaluation techniques, which allow us to handle a large fragment of XPath 2.0. We also focus on the optimisation opportunities that arise from our decomposition model during any query evaluation phase. During query validation, we present an input minimisation process that exploits the proposed model for identifying input that is only relevant to the given query, in terms of Stripes. We also define query equivalence rules for query rewriting over our proposed model. Finally, during query optimisation, we deal with whether and under which circumstances certain evaluation algorithms can be replaced by others having lower I/O and/or CPU cost. We propose three storage schemes under our general decomposition technique. The schemes differ in the compression method imposed on the structural part of the XML document. The first storage scheme imposes no compression. The second storage scheme exploits structural regularities of the document to minimise storage and, thus, I/O cost during query evaluation. Finally, the third storage scheme performs structureagnostic compression of the document structure which results in minimised storage, regardless the actual XML structure. We experiment on XML repositories of varying size, recursion and structural regularity. We consider query input size, execution plan size and query response time as metrics for our experimental results. We process query workloads by applying each of the proposed optimisations in isolation and then all of their combinations. In addition, we apply the same execution pipeline for all proposed storage schemes. As a reference to our proposed query evaluation pipeline, we use the current state-of-the-art system for XML query processing. Our results demonstrate that: • Our proposed data model provides the infrastructure for efficiently selecting the parts of the document that are relevant to a given query. • The application of query rewriting, combined with input minimisation, reduces query input size as well as the number of physical operators used. In addition, when evaluation algorithms are specialised to the decomposition method, query response time is further reduced. • Query evaluation performance is largely affected by the storage schemes, which are closely related to the structural properties of the data. The achieved compression ratio greatly affects storage size and therefore, query response times.

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This thesis deals with the in-store marketing and its application in the supermarket Billa ltd. The work is divided into the theoretical and practical part. The theoretical part deals with sales support, which includes in-store marketing. In the practical part I describe the current trends within in-store marketing and the merchandising problems there as well. The practical work is also dedicated to the description of the actual means of in-store marketing in the supermarket Billa ltd. The actual research work is carried out on the basis of survey and field survey of the supermarket. Using the obtained results and their comparison with the supermarket Albert are defined and I evaluated current trends in in-store marketing within the supermarket Billa ltd.

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No / Loyalty, its antecedents, and its consequences have been considered extensively. Store loyalty, in particular e-store loyalty, has not, however, received the same level of attention despite the increase in the number of organisations that sell directly over the Internet. This paper focuses on two antecedents of e-store loyalty, perceived switching barriers and satisfaction, and the way in which they interact. It found that customers do not consider themselves loyal to the e-store they frequent despite being largely satisfied, that the impact of switching barriers varies at different levels of customer satisfaction, and that what customers consider to be a switching barrier differs at different levels of customer satisfaction.