Institut für Wirtschaftsinformatik
Dauerhafte URI für die Sammlunghttps://irf.fhnw.ch/handle/11654/66
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5 Ergebnisse
Ergebnisse nach Hochschule und Institut
Publikation Personalisierungsfunktionen im E-Commerce: Eine Systematisierung mit Beispielen(Fachhochschule Nordwestschweiz FHNW, Hochschule für Wirtschaft, Institut für Wirtschaftsinformatik, 2008) Alioski, Adrian; Leimstoll, Uwe; Risch, DanielDieser 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 ArbeitsberichtPublikation Customer Profiles, Personalization and Privacy.(2005) Risch, Daniel; Schubert, Petra"CRM has become a buzzword in almost every company and organization during the last few years. The approach of a customer-centred view is neither new nor supremely innovative. What is it that makes managers and scientists talk about Customer Relationship Management? It is most of all the belief in the potential of computer-based CRM. The possibility of electronically gathering, storing, analyzing and using customer-specific data is rather tempting. On the other hand, users are sometimes not willing to disclose as much information as desired or needed by the vendor to establish and improve CRM. Besides the hesitation of customers to convey personal data, rather strict privacy laws exist ? at least in European countries.",Customer Profiles04B - Beitrag KonferenzschriftPublikation Personalization Beyond Recommender Systems(Springer, 2006) Schubert, Petra; Leimstoll, Uwe; Risch, DanielPersonalization 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 KonferenzschriftPublikation The Effect of Virtual Relationships on E-Shops, A Case-Study-based Approach(2004) Risch, Daniel; Schubert, PetraThe paper presents and applies the methodology and techniques of cross case analysis (CCA). The authors identify patterns of success in the field of e-shops and virtual relationships. The findings are based on six selected case studies following the methodology developed by Eisenhardt [1989]. The case study approach was used for two reasons: First, a large number of case studies was collected over the last years containing knowledge that had not yet been analysed and interpreted. Second, the authors assume that the research field of e-business and ICT is particularly suited for cross case analysis because of the dynamic development and the need to learn from best practice [Klein/Myers 1999].04B - Beitrag KonferenzschriftPublikation Classification of Personalization Functions for E-Commerce Applications(2006) Risch, Daniel; Schubert, Petra; Leimstoll, UwePersonalization 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