Leimstoll, Uwe

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Leimstoll
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Uwe
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Leimstoll, Uwe

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2006 - 20084
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Autor:in: Risch, Daniel × Dateien dazu vorhanden?: Ja ×

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  • Vorschaubild
    Publikation
    Personalisierungsfunktionen im E-Commerce: Eine Systematisierung mit Beispielen
    (Fachhochschule Nordwestschweiz FHNW, Hochschule für Wirtschaft, Institut für Wirtschaftsinformatik, 2008) Alioski, Adrian; Leimstoll, Uwe; Risch, Daniel
    Dieser Arbeitsbericht strukturiert und beschreibt eine Vielzahl an Personalisierungsfunktionen, wie sie insbesondere in B2B- und B2C-Onlineshops zum Einsatz kommen können. Die Funktionen wurden im Rahmen der PersECA-Projekte (Personalisierung von E-Commerce-Applikationen) zusammengetragen und in einer "Personalisierungslandkarte" systematisiert. Dieser Arbeitsbericht entstand im Rahmen des Forschungsprojekts PersECA II (Personalisierung von E-Commerce-Appplikationen) der Fachhochschule Nordwestschweiz FHNW. Der KTI/CTI (Kommission für Technologie und Innovation am Bundesamt für Berufsbildung und Technologie - BBT) danken wir für die finanzielle Unterstützung des Projekts.
    05 - Forschungs- oder Arbeitsbericht
  • Vorschaubild
    Publikation
    The Personalization Map, An Application-Oriented Overview of Personalization Functions
    (GITO, 22.06.2006) Risch, Daniel; Schubert, Petra; Leimstoll, Uwe [in: Customer Interaction and Customer Integration]
    Personalization is an interdisciplinary topic that has been discussed in the literature of marketing and information systems as well as in other research areas. In this paper we present findings from a longitudinal research project on personalization of e-commerce systems. The findings were taken from interviews and software development projects with company partners.Our discussion focuses on the Personalization Map. The map provides an extensive overview on personalization functions that can be used to individualize and improve human-computer-interaction both in B2C and B2B e-commerce environments. In a first step, the functions are classified according to their order of appearance in the buying process. In a second step they are grouped into subcategories. There is no single strategy for selecting successful personalization functions as the suitability varies depending on the industry and the goods sold.
    04A - Beitrag Sammelband
  • Vorschaubild
    Publikation
    Personalization Beyond Recommender Systems
    (Springer, 2006) Schubert, Petra; Leimstoll, Uwe; Risch, Daniel [in: IFIP International Federation for Information Processing]
    Personalization is an interdisciplinary topic that has been discussed in the literature of marketing and information systems as well as in other research areas. In this paper we present findings from a longitudinal research project on personalization of e-commerce systems. The findings were taken from interviews and software development projects with company partners (action research). The main contribution described in this paper is the Personalization Map. The map provides an extensive overview on personalization functions that can be used to individualize and improve human-computer-interaction both in B2C and B2B e-commerce environments. In a first step, the functions are classified according to their order of appearance in the buying process. In a second step they are grouped into subcategories. There is no single strategy for selecting successful personalization functions as the suitability varies depending on the industry and the goods sold.
    04B - Beitrag Konferenzschrift
  • Vorschaubild
    Publikation
    Classification of Personalization Functions for E-Commerce Applications
    (2006) Risch, Daniel; Schubert, Petra; Leimstoll, Uwe [in: CollECTeR 2006 Workshop Conference Proceedings]
    Personalization is an interdisciplinary topic that has been discussed in the literature of marketing and information systems as well as in other research areas. In this paper we present findings from a longitudinal research project on personalization of e-commerce systems. The findings were taken from interviews and software development projects with company partners (action research). In a first step personalization functions are classified according to their order of appearance along the buying process. In a second step they are grouped into subcategories. There is no single strategy for selecting successful personalization functions as the suitability varies depending on parameters like industry, number of customers or product range. The main contribution described in this paper is a classification framework for existing and emerging personalization functions for e-ecommerce applications.
    04B - Beitrag Konferenzschrift