The aim of this (dissertation) thesis is to create a modern e-commerce/ e-business model that takes in account the needs of clients and includes their demands into e-commerce/ e-business strategic management of the company. By using the MATLAB software is created the model which represents an e-commerce/ e-business economic model. In this case tries the company - with the help of feedback - to bring its output to the client as much as possible. The solution of these problems is an application on the model where dynamic interactions of clent´s strategies and newly created e-commerce / e-business strategies are investigated.

Studies are focused on methods for better recognition of internet shop customers. General this method is called Customer Intelligence. It contains means of increase of customers valuation for a society. It is based on exploitation of accumulated data about customer which helps to get necessary information. A main target of Studies is to create system of Customer Intelligence addapted to society needs. For internet seller it is necessary to include a web analytics into the system too. In a theoretical part there is an explanation of attitude and significance of Customer Intelligence in terms of informational company system. Furthermore there is taken a customer value. It is proceeded from basic means of customer valuation assesment via customers lifelong value for society to means of customer scoring A practical part of Studies is devoted to performed analyses of customer data which are the main details for execution of Customer Intelligence. There is explained how this obtained information will be used. In a conclusion there is descirbed a technical realization and problems which had to be necessarily solved during the implementation.

Univ., Diss. u.d.T.: Lihotzky, Nikolai: Kundenbindungsmanagement im B2C Electronic Business--Witten/Herdecke, 2002.

Thesis (MTech (Information Technology))--Cape Peninsula University of Technology, 2007 / Over a period spanning approximately twenty five years Information Systems (IS) researchers have been plagued by the problem of how to evaluate IS effectiveness or success. After the advent of the World Wide Web (WWW) in the 1990s, questions have arisen regarding the relevance of previously established evaluation approaches to the evaluation of web-based IS. Subsequently, firms have invested billions of dollars anually in information systems but the lack of appropriate frameworks for evaluating their effectiveness made it difficult to determine the return on IS investment. In a period spanning 20 years IS researchers proposed a diverse number of approaches e.g. the communications research of Shannon and Weaver (1949) and the information "influence theory" of Mason (1978). These were subsequently incorporated into a single model in 1992, called the IS Success Model (Delone & McLean, 1992). The principal objective of this research project was to develop a generic methodology for web-based Information Systems (IS) success evaluation from a multi-stakeholder perspective for specific IS contexts. The Delone and McLean IS Success Model (Delone and McLean, 1992) provides an underpinning framework for measuring IS effectiveness. In the latter 1990's the concept of service-quality was introduced into the IS effectiveness literature. In their updated IS Success Model, Delone and McLean (2003) then included service quality as key measure in the evaluation of IS success. Consequently this research project focused on how service quality concepts could be applied as a measure of IS effectiveness within e-commerce. A 3-pronged approach to IS evaluation was proposed viz. identification of generic stakeholder groups such as e-Customer, sponsoring manager, internal users etc.; identification of the context of the IS evaluation for each stakeholder i.e. what is the main function and context of operation of the IS; and lastly identification of stakeholder specific e-SQ criteria. The study demonstrates that the success of IS deployed within online environments, could be evaluated and measured differently by each stakeholder for the various e-Service Quality (e-SQ) dimensions within a particular IS context. The study presents the results of an investigation into a web-based IS at a national telecommunications company in South Africa which was evaluated using e-Service Quality (e-SQ) constructs. The study demonstrates the operationalisation of an e-SQ instrument for the purposes of evaluating IS effectiveness amongst multi-stakeholders. Evidence is provided that measuring attitudes of different stakeholders provides a more holistic perspective of IS success. The primary conclusion reached is that by using a step-by-step methodology of IS success measurement, the objective of establishing whether companies have received a return on web-based IS investment, can be achieved. Furthermore, the outcomes of the study has contributed to existing literature on IS effectiveness measurement. In particular, it will add to the existing body of knowledge regarding the use of e-SQ instrument to evaluate multi-stakeholder perceptions.

This bachelor’s thesis is a combined study of applied mathematical statistics and industrial engineering and management implemented to develop an algorithm which creates product combinations based on customer data analysis for eleven AB. Mathematically, generalized linear modelling, combinatorics and conditional probabilities were applied to create sales prediction models, generate potential combinations and calculate the conditional probabilities of the combinations getting purchased. SWOT analysis was used to identify which factors can enhance the sales from an industrial engineering and management perspective. Based on the regression analysis, the study showed that the considered variables, which were sales prices, brands, ratings, purchase countries, purchase months and how new the products are, affected the sales amounts of the products. The algorithm takes a barcode of a product as an input and checks whether if the corresponding product type satisfies the requirements of predicted sales amount and conditional probability. The algorithm then returns a list of possible product combinations that fulfil the recommendations. / Detta kandidatexamensarbete är en kombinerad studie av tillämpad matematisk statistik och industriell ekonomisk implementering för att utveckla en algoritm som skapar produktkombinationer baserad på kunddata analys för eleven AB. I den matematiska delen tillämpades generaliserade linjära modeller, kombinatorik och betingade sannolikheter för att skapa prediktionsmodeller för försäljningsantal, generera potentiella kombinationer och beräkna betingade sannolikheter att kombinationerna bli köpta. SWOT-analys användes för att identifiera vilka faktorer som kan öka försäljningen från ett industriell ekonomiskt perspektiv. Baserat på regressionsanalysen, studien har visat att de betraktade variablerna, som var försäljningspriser, varumärken, försäljningsländer, försäljningsmånader och hur nya produkterna är, påverkade försäljningsantalen på produkterna. Algoritmen tar emot en streckkod av en produkt som inmatning och kontrollerar om den motsvarande produkttypen uppfyller kraven för predikterad försäljningssumma och betingad sannolikhet. Algoritmen returnerar en lista av alla möjliga kombinationer på produkter som uppfyller rekommendationerna.

Creating effective functions in website designs that reduce consumers' anxiety in shopping online is a challenge common to most e-retailers. The present study investigated the roles of online reputation systems and instant chat services in decreasing customer perceived risk and increasing initial trust in unfamiliar e-retailers. Therefore, the reputation system when coupled with live chat service may be an effective external mechanism for providing potential consumers with critical decision making information. The present research focused on examining the respective value of live chat services and reputation systems in reducing potential consumers' perceived risk and simultaneously increasing their initial trust towards an unfamiliar e-retailer. The present research tested an e-retailing trust model based on the consumer decision making process. The model incorporated the following variables: (1) live chat service, and (2) reputation system, and explanatory variables: (1) perceived risk and (2) an initial trust. Customer prediction of purchasing is the response variable. The moderating role of interdependent and independent self-construal on online consumers’ behavior was also examined. Based on the review of literature, the following hypotheses were developed: (H1) Perceived risk associated with an unfamiliar web retailer will vary as a feature of the reputation system feature of a web retailer; where the reputation is positive, perceived risk will decrease. (H2) Perceived risk associated with an unfamiliar web retailer will vary as a feature of the instant chat feature of a web retailer; the mere presence of a live chat feature will decrease perceived risk. (H3) Initial trust associated with an unfamiliar web retailer will vary as a feature of the reputation system feature of a web retailer; where the reputation is viewed as negative, perceived risk will increase. (H4) Initial trust associated with an unfamiliar web retailer will very as a feature of the instant chat feature of a web retailer; the mere absence of a live chat feature will result in an increase in perceived risk. (H5) Purchase Intention will be influenced by the live chat function in the e-retailing website. (H6) Purchase Intention will be influenced by the evaluation system presented in the website. (H7) Purchase Intention will be influenced by the customers' perceived risk. (H8) Purchase intention will be influenced by the customers' initial trust. (H9) There is no interaction effect between the perceived risk and initial trust. (H10) Self-construal will moderate the effects on initial trust and perceived risk. A two by two factorial between-subjects experiment was conducted using a mock retail website design to examine the effect of reputation system and live chat service on customers. The findings demonstrated that the evaluation system significantly influences customers' perceived risk and initial trust, and directly influences customers' purchase intention. Perceived risk and initial trust influence customers' purchase intention independently. For future marketing implications, this research suggests that positive customer reviews, transaction history or other evaluation details in the web presentation is crucial for a starting e-retailer. Although there is no significant direct effect of self-construal on the perceived risk and initial trust, this research demonstrated that female and male have different self-construal and self-construal can be a good mediator to observe its effects on the customers' attitude and behavior. Furthermore, customers' initial trust and perceived risk determine their behavior separately which indicates that customers' initial trust increase doesn’t mean their perceived risk will decrease. / Graduation date: 2012

Im Social Commerce entwickeln sich die Kunden zu einer bedeutenden Informationsquelle für Unternehmen. Die Kunden nutzen die Kommunikationsplattformen des Web 2.0 (z.B. Twitter), um ihre Meinungen und Erfahrungen über Produkte zu äußern. Diese Diskussionen können sehr wichtig für die Entwicklung von Produkten eines Unternehmens sein. Ein modellbasierter Ansatz soll es einem Unternehmen ermöglichen, die Meinungen zu seinen Produkten in Microblogs zu betrachten. Der erste Schritt dafür ist die Erkennung von Themen in einem spezifischen Kontext. In einem weiteren Schritt müssen die zu den Themen korrespondierenden Einträge bezüglich der geäußerten Meinungen analysiert werden. Für die Erkennung der Themen kommt ein Verfahren zum Einsatz, das auf der Latent Dirichlet Allocation basiert. Das Verfahren identifizierte eventbasierte Themen im Zusammenhang mit den 3D-TV-Anlagen von Sony.

De senaste åren har kantats av en ökad e-handel samt allt högre krav från kunder på leveransalternativ. Paketbox är ett leveransalternativ som ökar alltmer i popularitet men är i Sverige fortfarande under utveckling. Två branscher där de flesta kunder har e-handlat från är apoteksbranschen och modebranschen. Dessutom har dessa branscher haft en tydlig tillväxt de senaste åren. Tidigare forskning om paketbox dock begränsad, framför allt i Sverige. Således är syftet med studien att kartlägga vilka faktorer som är viktiga för kunder vid användning av paketbox som leveransalternativ i Sverige vid e-handel från apoteks- respektive modebranschen. Utifrån detta syfte konstruerades följande två forskningsfrågor: ”Vilka faktorer är viktiga för kunder vid användning av paketbox som leveransalternativ vid e-handel från apoteks- respektive modebranschen?” samt ”Vilka faktorskillnader och -likheter finns det för kunder vid användning av paketbox som leveransalternativ vid e-handel från apoteks- respektive modebranschen?”. I linje med syftet och för att skapa en generaliserbarhet valdes en kvantitativ metod i form av en enkätundersökning. Faktorerna som undersöktes var leveranstid, geografisk bekvämlighet, öppettider, miljömässig hållbarhet, användarvänlighet och undvikande av mänsklig interaktion. Resultaten visar att samtliga faktorer var viktiga för paketboxanvändare men i olika grad. Däremot fanns det faktorskillnader vid paketbox som leveransalternativ vid e-handel från apoteks- respektive modebranschen för två av de sex undersökta faktorerna. Leveranstid visade sig vara viktigare för kunder vid paketbox som leveransalternativ vid e-handel från apoteksbranschen. Miljömässig hållbarhet var däremot viktigare för kunder vid paketbox som leveransalternativ vid e-handel från modebranschen. Således bidrar denna studie med kunskap om vad kunder upplever som viktigt vid paketboxanvändning. Vidare belyser studien att det finns faktorskillnader vid e-handel via paketbox från apoteks- respektive modebranschen. Studiens bidrag öppnar upp för vidare forskning inom ämnet för branschskillnader vid paketboxanvändning och vad det kan bero på. / In recent years, e-commerce as well as customer demands regarding delivery options have increased. The parcel locker is a delivery option that is increasing in popularity, but it is still under development in Sweden. Two industries where most customers have e-shopped from are the pharmacy- and the fashion industries. In addition, these industries have had a distinct growth in recent years. Previous research on parcel lockers is limited, especially in Sweden. Therefore, the purpose of the study is to map which factors are important when using parcel locker as a delivery option in Sweden when e-shopping from the pharmacy and fashion industries. Based on this purpose, the following two research questions were constructed: "What factors are important for customers' use of parcel locker as a delivery option when e-shopping from pharmacy and fashion industries?" and "What factor differences and similarities for customers can be found when using parcel locker as a delivery option when e-shopping from pharmacy and fashion industries?". In line with this purpose and to create a generalizability, a quantitative method was chosen in the form of a survey. Factors examined were delivery time, geographical convenience, opening hours, environmental sustainability, ease of use and avoidance of human interaction. The results show that all factors were important for parcel locker users but to varying degrees. On the other hand, there were factor differences for two of the six factors when customers use parcel locker as a delivery option when e-shopping from the pharmacy and fashion industries. Delivery time proved to be more important for parcel locker users when e-shopping from the pharmacy industry. Environmental sustainability, on the other hand, proved to be more important for parcel locker users when e-shopping from the fashion industry. This study contributes with knowledge of what could be perceived as important when using parcel lockers. Furthermore, this study highlights that there are factor differences when e-shopping via parcel lockers from pharmacy and fashion industries. The study's contribution opens for further research regarding how customer preferences about parcel lockers differ when e-shopping from different industries.