174 C. Scheer et al. / <strong>Bus<strong>in</strong>ess</strong> <strong>models</strong> <strong>to</strong> <strong>offer</strong> cus<strong>to</strong>mized <strong>output</strong> <strong>in</strong> <strong>electronic</strong> <strong>commerce</strong>ues. Possible methods for realization <strong>in</strong>clude patternmatch<strong>in</strong>g for design recognition tasks or RGB-ratiosfor characterization of color [28,29].The next step <strong>in</strong> our research activity <strong>in</strong>volves theimplementation of the suggested model <strong>in</strong> the configurationprocess. This will help us <strong>to</strong> approve mentionedcomponents and their coactions <strong>in</strong> the consultation <strong>in</strong>terface.8. SummaryStart<strong>in</strong>g from the basics of user cus<strong>to</strong>mizable productsand services <strong>in</strong> Electronic Commerce and relatedbus<strong>in</strong>ess <strong>models</strong>, the paper describes the extended configurationprocess for specification of cus<strong>to</strong>mer-driven<strong>output</strong>. In addition <strong>to</strong> the approaches <strong>in</strong> literature, anew support component is suggested, that <strong>offer</strong>s <strong>in</strong>dividualadvice with<strong>in</strong> the specification process. Thiscomponent <strong>in</strong>cludes a prediction mechanism, which isable <strong>to</strong> generate likely predictions based on previousconfiguration runs. Thereby we use the strength of objectvalue relations as an <strong>in</strong>dica<strong>to</strong>r for the relevance ofan option value with<strong>in</strong> that context. We comb<strong>in</strong>e this<strong>in</strong>formation with the <strong>in</strong>formation provided by the userhimself <strong>in</strong> order <strong>to</strong> unify the explicitly stated configurationgoal with our prediction. As a result, we areable <strong>to</strong> make likely predictions which are less dependan<strong>to</strong>n both the size of the database and the po<strong>in</strong>t <strong>in</strong>time, when the prediction is requested by the cus<strong>to</strong>mer<strong>in</strong> the configuration step.References[1] C.B. Adair and B.A. Murray, Breakthrough Process Redesign:New Pathways <strong>to</strong> Cus<strong>to</strong>mer Value, AMACOM, New York,1994.[2] R. Agrawal, T. Imiel<strong>in</strong>ski and A. Swami, M<strong>in</strong><strong>in</strong>g AssociationRules between Sets of Items <strong>in</strong> Large Databases, <strong>in</strong>: Proceed<strong>in</strong>gsof the International Conference on Management of Data,Wash<strong>in</strong>g<strong>to</strong>n D.C., 1993.[3] R. Agrawal and J. Shafer, Parallel M<strong>in</strong><strong>in</strong>g of AssociationRules, IEEE Transactions On Knowledge And Data Eng<strong>in</strong>eer<strong>in</strong>g8(6) (1996), 962–969.[4] R. Agrawal and R. Srikant, Fast Algorithms for M<strong>in</strong><strong>in</strong>g AssociationRules, <strong>in</strong>: Proceed<strong>in</strong>gs of the 20th International Conferenceon Very Large Data Bases (VLDB), Kaufmann, M.,1994.[5] Y. Chien and E. George, A Bayesian Model for CollaborativeFilter<strong>in</strong>g, <strong>in</strong>: http://uncerta<strong>in</strong>ty99.microsoft.com/chien.htm(10.11.2002).[6] F. Feldkamp, M. He<strong>in</strong>rich and K.D. Meyer-Gramann, SyDeR- System design for reusability, Artificial Intelligence for Eng<strong>in</strong>eer<strong>in</strong>gDesign, Analysis and Manufactur<strong>in</strong>g 12(4) (1998),373–382.[7] H. Inakoshi, S. Okama<strong>to</strong>, Y. Ohta and N. Yugami, EffectiveDecision Support for Product Configuration by Us<strong>in</strong>g CBR,<strong>in</strong>: The Fourth International Conference on Case-Based Reason<strong>in</strong>g,Vancouver/ Canada, 2001.[8] U. John, Konfiguration und Rekonfiguration mittelsConstra<strong>in</strong>t-basierter Modellierung, Ph.D. Dissertation,Akademische Verlagsgesellschaft Aka, Berl<strong>in</strong>, 2002.[9] J. Lampel and H. M<strong>in</strong>tzberg, Cus<strong>to</strong>miz<strong>in</strong>g Cus<strong>to</strong>mization,Sloan Management Review 38(1) (1996), 21–30.[10] K.J. Lancaster, Consumer Demand: A new Approach,Columbia University Press, New York, 1971.[11] K.J. Lancaster, Modern Consumer Theory, Edward Elgar,Hants, Vermont, 1991.[12] W. L<strong>in</strong>, S. Alvarez and C. Ruiz, Efficient Adaptive-SupportAssociation Rule M<strong>in</strong><strong>in</strong>g for Recommender Systems, <strong>in</strong>:http://citeseer.nj.nec.com/483133.html (22.08.2002).[13] T. Männistö, H. Pel<strong>to</strong>nen and R. Sulonen, View <strong>to</strong> ProductConfiguration Knowledge Modell<strong>in</strong>g and Evolution, <strong>in</strong>: AAAIFall Symposium Series Configuration (Technical Report FS-96-03), Cambrigde, Massachusetts, 1996.[14] D.L. McGu<strong>in</strong>ness and J.R. Wright, Conceptual Modell<strong>in</strong>g forConfiguration: A Description Logic-based Approach, ArtificialIntelligence for Eng<strong>in</strong>eer<strong>in</strong>g Design, Analysis and Manufactur<strong>in</strong>g12(4) (1998), 333–344.[15] S. Mesihovic and J. Malmqvist, Product Data Management(PDM) System Support for the Eng<strong>in</strong>eer<strong>in</strong>g ConfigurationProcess–A Position Paper–, <strong>in</strong>: Proceed<strong>in</strong>gs of 14th EuropeanConference on Artificial Intelligence (ECAI)–WorkshopConfiguration, Berl<strong>in</strong>, 2000.[16] H. Österle, Enterprise <strong>in</strong> the Information Age, <strong>in</strong>: <strong>Bus<strong>in</strong>ess</strong>Network<strong>in</strong>g: Shap<strong>in</strong>g Enterprise Relationships on the Internet,H. sterle, E. Fleisch and R. Alt, eds, Spr<strong>in</strong>ger, Berl<strong>in</strong> etal., 2000, pp. 17–54.[17] H. Pel<strong>to</strong>nen, T. Männistö, K. Alho and R. Sulonen, ProductConfigurations–An Application for Pro<strong>to</strong>type Object Approach,<strong>in</strong>: Proceed<strong>in</strong>gs of the Eighth European Conferenceon Object-Oriented Programm<strong>in</strong>g (ECOOP), Bolgona, Italy,1994.[18] A. Picot, E<strong>in</strong> neuer Ansatz zur Gestaltung der Leistungstiefe,Zeitschrift für betriebswirtschaftliche Forschung (zfbf) 43(4)(1991), 336–357.[19] F.T. Piller, Mass Cus<strong>to</strong>mization: e<strong>in</strong> wettbewerbsstrategischesKonzept im Informationszeitalter, Ph.D. Dissertation, Vol. 2,DUV/Gabler, Wiesbaden, 2001.[20] B.J.I. P<strong>in</strong>e, Mass Cus<strong>to</strong>mization–The New Frontier <strong>in</strong> <strong>Bus<strong>in</strong>ess</strong>Competition, Harvard <strong>Bus<strong>in</strong>ess</strong> School Press, Bos<strong>to</strong>n,Massachusetts, 1993.[21] B.J.I. P<strong>in</strong>e, B. Vic<strong>to</strong>r and A.C. Boyn<strong>to</strong>n, Mak<strong>in</strong>g Mass Cus<strong>to</strong>mizationwork, Harvard <strong>Bus<strong>in</strong>ess</strong> Review 71(5) (1993), 108–119.[22] J. Rayport, The Truth about Internet <strong>Bus<strong>in</strong>ess</strong> Models,<strong>in</strong>: http://www.strategy-bus<strong>in</strong>ess.com/pdf/099301.pdf(07.06.01).[23] R. Reichwald and B. Dietel, Produktionswirtschaft, <strong>in</strong>: Industriebetriebslehre:Entscheidungen im Industriebetrieb, E.He<strong>in</strong>en, ed., Gabler, Wiesbaden, 1991, pp. 395–622.[24] C. Scheer and P. Loos, Concepts of Cus<strong>to</strong>mer Orientation–Internet <strong>Bus<strong>in</strong>ess</strong> Model for Cus<strong>to</strong>mer-driven Output, <strong>in</strong>: Proceed<strong>in</strong>gsof the 10th European Conference on InformationSystems (ECIS), Information Systems and the Future of theDigital Economy, Gdansk, Poland, 2002.[25] C. Scheer and P. Loos, Kundenschnittstelle zur Spezifikationkundenorientierter Leistungen im Internetvertrieb– FachlicheAnforderungen und <strong>in</strong>formationstechnische Implikationen, <strong>in</strong>:
C. Scheer et al. / <strong>Bus<strong>in</strong>ess</strong> <strong>models</strong> <strong>to</strong> <strong>offer</strong> cus<strong>to</strong>mized <strong>output</strong> <strong>in</strong> <strong>electronic</strong> <strong>commerce</strong> 175E-<strong>Bus<strong>in</strong>ess</strong>–Integration <strong>in</strong>dustrieller ERP-Architekturen, P.Loos and N. Gronau, eds, Cuvillier, Gött<strong>in</strong>gen, 2002, pp. 137–151.[26] L. Terveen and W. Hill, Beyond Recommender Systems:Help<strong>in</strong>g People Help Each Other, <strong>in</strong>: HCI In The New Millennium,J. Carroll, ed., Addison Wesley, Read<strong>in</strong>g, MA, 2001.[27] L. Ungar and D. Foster, Cluster<strong>in</strong>g Methods For CollaborativeFilter<strong>in</strong>g, <strong>in</strong>: Proceed<strong>in</strong>gs of the Workshop on RecommendationSystems, Menlo Park, California, AAAI Press, 1998.[28] R. Veltkamp and M. Haagedorn, State-of-the-art <strong>in</strong> ShapeMatch<strong>in</strong>g, Technical Report, Utrecht University, Utrecht,1999.[29] A.K. Wright, Pattern Match<strong>in</strong>g for Scheme, Report, Rice University,Hous<strong>to</strong>n, 1996.[30] K. Yu, X. Xu, J. Tao, M. Ester and H.-P. Kriegel, Instance SelectionTechniques for Memory-Based Collaborative Filter<strong>in</strong>g,<strong>in</strong>: Second Siam International Conference on Data M<strong>in</strong><strong>in</strong>g,Arl<strong>in</strong>g<strong>to</strong>n/Virg<strong>in</strong>ia, 2002.
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