Modeling and Prediction of Monetary and Non-monetary Business Values

In existing business model frameworks little attention is paid to a thorough understanding of the perceived customer value of a business' offering as compared to competing offers. In this paper, we propose to use utility theory in combination with e3value models to address this issue. An actor's joint utility function specifies how much value the actor attaches to a given product or service's different qualities. Competing value offerings map to different points on the customer utility function, since they provide certain quantities of each quality. Since the customer can be expected to exhibit a utility maximizing behavior, his/her choices between offerings can be predicted. Thus, given the proposed utility extension, it becomes possible to quantitatively reason about the relative customer value of an offering compared to those of the competition. This, in turn, allows the optimization of price, the key ingredient in any business model.

[1]  R. M. Adelson,et al.  Utility Theory for Decision Making , 1971 .

[2]  Jaap Gordijn,et al.  Value-based requirements engineering: exploring innovative e-commerce ideas , 2003, Requirements Engineering.

[3]  Jaap Gordijn,et al.  Designing and evaluating e-business models , 2001 .

[4]  R. L. Keeney,et al.  Decisions with Multiple Objectives: Preferences and Value Trade-Offs , 1977, IEEE Transactions on Systems, Man, and Cybernetics.

[5]  Alan R. Hevner,et al.  Design Science in Information Systems Research , 2004, MIS Q..

[6]  Lenos Trigeorgis,et al.  A market utility approach to investment valuation , 1994 .

[7]  Alan R. Hevner,et al.  Design Research in Information Systems , 2010 .

[8]  Oliver Schilke,et al.  Strategic development of business models: Implications of the web 2.0 for creating value on the internet , 2010 .

[9]  Y. R. Storch Rudall,et al.  Business Model Generation , 2012 .

[10]  William E. McCarthy,et al.  An ontological analysis of the economic primitives of the extended-REA enterprise information architecture , 2002, Int. J. Account. Inf. Syst..

[11]  Alexander Osterwalder,et al.  The business model ontology a proposition in a design science approach , 2004 .

[12]  G. T. Lumpkin,et al.  E-Business strategies and internet business models: How the internet adds value , 2004 .

[14]  Gregory W. Fischer,et al.  Experimental Applications of Multi-Attribute Utility Models , 1975 .

[15]  Charles S. Tapiero,et al.  Risk Finance and Asset Pricing: Value, Measurements, and Markets , 2010 .

[16]  Maria-Eugenia Iacob,et al.  The MOF perspective on business modelling , 2012, BMSD 2012.

[17]  Jonas Hedman,et al.  The business model concept: theoretical underpinnings and empirical illustrations , 2003, Eur. J. Inf. Syst..

[18]  Ralph L Keeney,et al.  A Value Model for Evaluating Homeland Security Decisions , 2011, Risk analysis : an official publication of the Society for Risk Analysis.

[19]  Samir Chatterjee,et al.  A Design Science Research Methodology for Information Systems Research , 2008 .

[20]  George M. Giaglis,et al.  A research framework for analysing eBusiness models , 2004, Eur. J. Inf. Syst..

[21]  Ernesto Damiani,et al.  Representing Immaterial Value in Business Model , 2010, 2010 14th IEEE International Enterprise Distributed Object Computing Conference Workshops.

[22]  M. Porter Competitive Advantage: Creating and Sustaining Superior Performance , 1985 .

[23]  Bertrand Moingeon,et al.  Building Social Business Models: Lessons from the Grameen Experience , 2010 .

[24]  Michael H. Morris,et al.  The entrepreneur's business model: toward a unified perspective , 2005 .

[25]  Laureano F. Escudero,et al.  On expected utility for financial insurance portfolios with stochastic dependencies , 2010, Eur. J. Oper. Res..

[26]  Ralph L. Keeney,et al.  Multiplicative Utility Functions , 1974, Oper. Res..

[27]  W. Kim,et al.  Knowing a winning business idea when you see one. , 2000, Harvard business review.

[28]  Xavier Lecocq,et al.  Business Model Evolution: In Search of Dynamic Consistency , 2010 .

[29]  Tomohiro Hayashida,et al.  Multiattribute utility analysis for policy selection and financing for the preservation of the forest , 2010, Eur. J. Oper. Res..