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Developing a decision support system for business model design

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Abstract

Software vendors increasingly offer web-based services (SaaS) at a subscription fee. Because they need a network of service partners to generate customer value, SaaS providers have to focus on business model (BM) design. In this study, a decision support system (DSS) is developed to help SaaS in this process, based on a design approach consisting of a design process that is guided by various design methods. The outcome of the design process is a computer-based tool that takes important BM evaluation criteria, such as critical design issues and success factors, into account, by integrating market analysis based on conjoint analysis, providing alternative designs for business models involving companies working together in a value network offering e-services, and including a multi-criteria decision analysis, based on AHP, that can be used to select the business model of the core services and identify the implications for the business model of all the actors involved in the network. The DSS is discussed in an illustrative case. The execution of the design process provides insight into how BM design processes can be improved and formalized. The BM decision-making tool illustrates the importance of modularity, i.e. the BM-DSS can be divided into several independent sub-components, while at the same time maintaining its usefulness within an organizational network context.

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References

  • Afuah, A., & Tucci, C. (2003). Internet business models and strategies: text and cases (Second Edition ed.). McGraw-Hill Higher Education.

  • Allee, V. (2000). Reconfiguring the value network. Journal of Business Strategy, 21(4), 36–39.

    Article  Google Scholar 

  • Alter, S. (1976). Computer aided decision making in organizations: a decision support systems typology. Working paper (Sloan School of Management) 855–76.

  • Amihud, Y. and Kamin, J. (1979). Revenue vs. Profit Maximization: Differences in Behavior by the Type-of-Control and by Market Power. Southern Economic Journal, (45), 838–846.

    Article  Google Scholar 

  • Amit, R., & Zott, C. (2001). Value creation in e-business. Strategic Management Journal, 22(6–7), 493–520.

    Article  Google Scholar 

  • Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R. H., Konwinski, A., Lee, G., Patterson, D. A., Rabkin, A., & Stoica, I. (2009). Above the clouds: a Berkeley view of cloud computing. Berkeley: EECS Department, University of California.

    Google Scholar 

  • Ayalew, Y. (2001). Spreadsheet testing using interval analysis. Klagenfurt University.

  • Baumol, W. (1958). On the theory of oligopoly. Economica, 25(99), 187–198.

    Article  Google Scholar 

  • Baumol, W. (1962). On the theory of expansion of the firm. The American Economic Review, 52(5), 1078–1087.

    Google Scholar 

  • Belton, V., & Stewart, T. (2002). Multiple criteria decision analysis: an integrated approach. Springer.

  • Bouwman, H., & De Reuver, M. (2010). Design theory and empirical research: a practical illustration regarding mobile service design. TUDelft working paper.

  • Bouwman, H., De Reuver, M., Solaimani, S., Daas, D., Haaker, T., Janssen, W., Iske, P., & Walenkamp, B. (2012). Business models, tooling and research agenda. In R. Clark, A. Pucihar, & J. Gricar (Eds.), The first 25 years of the bled conference. Kraj: Moderna organizacija.

    Google Scholar 

  • Bouwman, H., Haaker, T., & De Vos, H. (2008). Mobile service innovation and business models. Heidelberg: Springer.

    Book  Google Scholar 

  • Bouwman, H., & van den Ham, E. (2004). Business models and eMetrics, a state of the art. In B. Preissl, H. Bouwman, & C. Steinfield (Eds.), E-life after the Dot.com bust (pp. 65–82). Berlin: Physica Verlag.

    Google Scholar 

  • Bullen, C., & Rockart, J. (1981). A primer on critical success factors. Working papers.

  • Cusumano, M. (2008). The changing software business: moving from products to services. IEEE Computer, 41(1), 20–27.

    Article  Google Scholar 

  • Daas, D. (2010). Optimal bundling and pricing of multi-service bundles from a value-based perspective: a software-as-a-service case. TU Delft working paper.

  • Daas, D., Bouwman H., Hurkmans T., & Overbeek S. (Under review). Optimal bundling and pricing of multi-service bundeles from a value based perspective: a software-as-a-service case.

  • Docters, R., Reopel, M., Sun, J., & Tanny, S. (2003). Winning the profit game: smarter pricing, smarter branding. McGraw-Hill Companies.

  • Dubey, A., & Wagle, D. (2007). Delivering software as a service. The McKinsey Quarterly, 1–12.

  • Faber, E., & De Vos, H. (Eds.). (2008). Creating successful ICT-services: practical guidelines based on the STOF method. Enschede, The Netherlands: Telematica Instituut.

  • Gold, N., Mohan, A., Knight, C., & Munro, M. (2004). Understanding service-oriented software. IEEE Software, 21(2), 71–77.

    Article  Google Scholar 

  • Gordijn, J., & Akkermans, J. (2003). Value-based requirements engineering: exploring innovative e-commerce ideas. Requirements Engineering, 8(2), 114–134.

    Article  Google Scholar 

  • Gordijn, J., Yu, E., & van der Raadt, B. (2006). e-Service design using i* and e3value modeling. IEEE Software, 23(3), 26–33.

    Article  Google Scholar 

  • Green, P., & Helsen, K. (1989). Cross-validation assessment of alternatives to individual-level conjoint analysis: a case study. Journal of Marketing Research, 26(3), 346–350.

    Article  Google Scholar 

  • Guiltinan, J. (1987). The price bundling of services: a normative framework. The Journal of Marketing, 51(2), 74–85.

    Article  Google Scholar 

  • Haaker, T., Faber, E., & Bouwman, H. (2006). Balancing customer and network value in business models for mobile services. International Journal of Mobile Communications, 4(6), 645–661.

    Google Scholar 

  • Hamel, G. (2000). Leading the revolution. Boston, MA.

  • Hawkins, R. (2002). Some critical notes to the preliminary BITA results. Paper presented at the Symposium on Business Models for Innovative Mobile Services, Delft, The Netherlands.

  • Herder, P., & Stikkelman, R. (2004). Methanol-based industrial cluster design: a study of design options and the design process. Industrial and Engineering Chemistry Research, 43(14), 3879–3885.

    Article  Google Scholar 

  • Hevner, A., March, S., Park, J., & Ram, S. (2004). Design science in information systems research. Management Information Systems Quarterly, 28(1), 75–106.

    Google Scholar 

  • Holsapple, C., & Whinston, A. (1996). Decision support systems: a knowledge-based approach. Minneapolis/St. Paul: West Publishing Company.

  • Huber, J., Wittink, D., Fiedler, J., & Miller, R. (1993). The effectiveness of alternative preference elicitation procedures in predicting choice. Journal of Marketing Research, 105–114.

  • IDC. (2009). Worldwide software 2009–2013 forecast summary. IDC: Framingham.

  • Jedidi, K., & Zhang, Z. (2002). Augmenting conjoint analysis to estimate consumer reservation price. Management Science, 48(10), 1350–1368.

    Article  Google Scholar 

  • Johnson, S., Menor, L., Roth, A., & Chase, R. (2000). A critical evaluation of the new service development process. New service development: creating memorable experiences, 1–32.

  • Kaplan, S., & Sawhney, M. (2000). B2B E-Commerce hubs: towards a taxonomy of business models. Harvard Business Review, 79(3), 97–100.

    Google Scholar 

  • Keen, P. (1980). Adaptive design for decision support systems. ACM SIGOA Newsletter, 1(4–5), 15–25.

    Article  Google Scholar 

  • Kohli, R., & Mahajan, V. (1991). A reservation-price model for optimal pricing of multiattribute products in conjoint analysis. Journal of Marketing Research, 28, 347–354.

    Article  Google Scholar 

  • Kotler, P. (2000). Marketing management millenium edition (10th ed.). New Jersey: Prentice-Hall.

    Google Scholar 

  • McLeod, R., & Schell, G. (2001). Management information systems. New Jersey: Prentice Hall.

    Google Scholar 

  • Menor, L., Tatikonda, M., & Sampson, S. (2002). New service development: areas for exploitation and exploration. Journal of Operations Management, 20(2), 135–157.

    Article  Google Scholar 

  • Nute, D., Potter, W., Cheng, Z., Dass, M., Glende, A., Maierv, F., Routh, C., Uchiyama, H., Wang, J., Witzig, S., Twery, M., Knopp, P., Thomasma, S., & Rauscher, H. (2005). A method for integrating multiple components in a decision support system. Computers and Electronics in Agriculture, 29(1) 44–59.

    Article  Google Scholar 

  • Orme, B., Alpert, M., & Christensen, E. (1997). Assessing the validity of conjoint analysis–continued.

  • Osterwalder, A. (2004). The business model ontology-a proposition in a design science approach. Academic Dissertation, Universite de Lausanne, Ecole des Hautes Etudes Commerciales.

  • Osterwalder, A., & Pigneur, Y. (2002). An e-business model ontology for modeling e-business. Paper presented at the Proceedings of the 15th Bled Electronic Commerce Conference, Bled.

  • Osterwalder, A., & Pigneur, Y. (2010). Business model generation. Hoboken: Wiley.

    Google Scholar 

  • Owen, C. (1998). Design research: building the knowledge base. Design Studies, 19(1), 9–20.

    Article  Google Scholar 

  • Pateli, A., & Giaglis, G. (2003). A framework for understanding and analysing e-business models.

  • Penttinen, E. (2004). Bundling of information goods, past, present and future. Helsinki School of Economics, Working Papers W-373.

  • Power, D. (2002). Decision support systems: concepts and resources for managers. Westport: Greenwood/Quorum Books.

    Google Scholar 

  • Power, D., & Sharda, R. (2007). Model-driven decision support systems: concepts and research directions. Decision Support Systems, 43(3), 1044–1061.

    Article  Google Scholar 

  • Robinson, S. (1997). Simulation model verification and validation: increasing the users' confidence. Paper presented at the Proceedings of the 29th conference on Winter simulation, Atlanta,

  • Saaty, T. (1986). Axiomatic foundation of the analytic hierarchy process. Management Science, 32(7), 841–855.

    Article  Google Scholar 

  • Sahlman, W. (1997). How to write a great business plan. Harvard Business Review, 75(4), 98.

    Google Scholar 

  • Saltelli, A., Tarantola, S., Campolongo, F., & Ratto, M. (2004). Sensitivity Analysis in Practice: A Guide to Assessing Scientific Model. Chichester: John Wiley * Sons. Ltd.

  • Sargent, R. (2005). Verification and validation of simulation models.

  • Shapiro, C., & Varian, H. (1999). Information rules: a strategic guide to the network economy. Harvard Business School Pr.

  • Shim, J. P., Warkentin, M., Courtney, J. F., Power, D. J., Sharda, R., & Carlsson, C. (2002). Past, present, and future of decision support technology. Decision Support Systems, 33(2), 111–126.

    Article  Google Scholar 

  • Simon, H. (1977). The new science of management decision. Upper Saddle River: Prentice Hall PTR.

    Google Scholar 

  • Simons, L., & Wiegel, W. (2008). AHP’s promises and limitations as decision tool for procedural justice; evaluating AHP for accuracy, efficiency and fair participation. Paper presented at the International Symposium on Quality Function Deployment, ISQFD’08, Being.

  • Sprague, R. (1980). A framework for the development of decision support systems. MIS Quarterly, 4(4), 1–26.

    Article  Google Scholar 

  • Stremersch, S., & Tellis, G. (2002). Strategic bundling of products and prices: a new synthesis for marketing. The Journal of Marketing, 66(1), 55–72.

    Article  Google Scholar 

  • Tellis, G. (1986). Beyond the many faces of price: an integration of pricing strategies. The Journal of Marketing, 50(4), 146–160.

    Article  Google Scholar 

  • Telser, L. (1979). A theory of monopoly of complementary goods. Journal of Business, 52(2), 211–230.

    Article  Google Scholar 

  • Verschuren, P., & Hartog, R. (2005). Evaluation in design-oriented research. Quality and Quantity, 39, 733–762.

    Article  Google Scholar 

  • Weigand, H., Johannesson, P., Andersson, B., Bergholtz, M., Edirisuriya, A., & Ilayperuma, T. (2007). Strategic analysis using value modeling-the c3-value approach.

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Authors and Affiliations

  1. Delft University of Technology, Delft, The Netherlands

    Dave Daas, Sietse Overbeek & Harry Bouwman

  2. Exact International Development N.V, Delft, The Netherlands

    Toine Hurkmans

  3. Information and Communication Technology, Faculty of Technology, Policy and Management, Delft University of Technology, PO Box 5015, 2600 GA, Delft, The Netherlands

    Harry Bouwman

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  1. Dave Daas
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  2. Toine Hurkmans
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  3. Sietse Overbeek
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  4. Harry Bouwman
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Correspondence to Harry Bouwman.

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Responsible Editor: Hans-Dieter Zimmermann

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Daas, D., Hurkmans, T., Overbeek, S. et al. Developing a decision support system for business model design. Electron Markets 23, 251–265 (2013). https://doi.org/10.1007/s12525-012-0115-1

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