Abstract
The high uncertainty of creating business models demands entrepreneurs to re-evaluate and continuously adapt them. Therefore, incubators offer validation services. However, systematic, and scalable information systems to enable interaction with a crowd of potential customers, investors, or other stakeholders and entrepreneurs do not exist. Our aim is thus to develop tentative design principles for crowd-based business model validation (CBMV) systems. Such systems should support entrepreneurs to reduce the uncertainty about the validity of their business model. Thus, we apply a theory-driven design approach based on knowledge drawn from literature and complemented by empirical insights. For developing such information systems, we combine the concept of crowdsourcing with findings from research on decision support systems to propose theory-grounded design principles for a CBMV system. The identified design principles describe a potential solution to a problem that previous research proved as viable.
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References
Andries, P., Debackere, K.: Adaptation and performance in new businesses: understanding the moderating effects of independence and industry. Small Bus. Econ. 29, 81–99 (2007)
Blank, S.: Why the lean start-up changes everything. Harv. Bus.Rev. 91, 63–72 (2013)
Ebel, P.A., Bretschneider, U., Leimeister, J.M.: Can the crowd do the job? Exploring the effects of integrating customers into a company’s business model innovation. Int. J. Innov. Manag. 20, 1650071 (2016)
Al-Debei, M.M., Avison, D.: Developing a unified framework of the business model concept. Eur. J. Inf. Syst. 19, 359–376 (2010)
Osterwalder, A., Pigneur, Y.: Business Model Generation: A Handbook for Visionaries, Game Changers, and Challengers. Wiley, Hoboken (2010)
Veit, D., Clemons, E., Benlian, A., Buxmann, P., Hess, T., Kundisch, D., Leimeister, J.M., Loos, P., Spann, M.: Business models. Bus. Inf. Syst. Eng. 6, 45–53 (2014)
Hevner, S., March, P., Park, J.J., Ram, S.: Design science research in information systems. Manag. Inf. Syst. Q. 28, 75–105 (2004)
Peffers, K., Tuunanen, T., Rothenberger, M.A., Chatterjee, S.: A design science research methodology for information systems research. J. Manag. Inf. Syst. 24, 45–77 (2007)
Vaishnavi, V., Kuechler, W.: Design research in information systems (2004)
Zott, C., Amit, R., Massa, L.: The business model: recent developments and future research. J. Manag. 37, 1019–1042 (2011)
Bharadwaj, A., El Sawy, O.A., Pavlou, P.A., Venkatraman, N.: Digital business strategy: toward a next generation of insights. MIS Q. 37, 471–482 (2013)
Morris, M., Schindehutte, M., Allen, J.: The entrepreneur’s business model: toward a unified perspective. J. Bus. Res. 58, 726–735 (2005)
Teece, D.J.: Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance. Strateg. Manag. J. 28, 1319–1350 (2007)
Demil, B., Lecocq, X., Ricart, J.E., Zott, C.: Introduction to the SEJ special issue on business models: business models within the domain of strategic entrepreneurship. Strateg. Entrep. J. 9, 1–11 (2015)
Alvarez, S.A., Barney, J.B., Anderson, P.: Forming and exploiting opportunities: the implications of discovery and creation processes for entrepreneurial and organizational research. Org. Sci. 24, 301–317 (2013)
Alvarez, S.A., Barney, J.B.: Discovery and creation: alternative theories of entrepreneurial action. Strateg. Entrep. J. 1, 11–26 (2007)
Alvarez, S.A., Barney, J.B.: Entrepreneurship and epistemology: the philosophical underpinnings of the study of entrepreneurial opportunities. Acad. Manag. Ann. 4, 557–583 (2010)
Blohm, I., Riedl, C., Füller, J., Leimeister, J.M.: Rate or trade? Identifying winning ideas in open idea sourcing. Inf. Syst. Res. 27, 27–48 (2016)
Kornish, L.J., Ulrich, K.T.: The importance of the raw idea in innovation: Testing the sow’s ear hypothesis. J. Mark. Res. 51, 14–26 (2014)
Leimeister, J.M., Huber, M., Bretschneider, U., Krcmar, H.: Leveraging crowdsourcing: activation-supporting components for IT-based ideas competition. J. Manag. Inf. Syst. 26, 197–224 (2009)
Toubia, O., Florès, L.: Adaptive idea screening using consumers. Mark. Sci. 26, 342–360 (2007)
Klein, M., Garcia, A.C.B.: High-speed idea filtering with the bag of lemons. Decis. Support Syst. 78, 39–50 (2015)
Magnusson, P.R., Wästlund, E., Netz, J.: Exploring users’ appropriateness as a proxy for experts when screening new product/service ideas. J. Prod. Innov. Manag. 33, 4–18 (2016)
Soukhoroukova, A., Spann, M., Skiera, B.: Sourcing, filtering, and evaluating new product ideas: an empirical exploration of the performance of idea markets. J. Prod. Innov. Manag. 29, 100–112 (2012)
Di Gangi, P.M., Wasko, M.: Steal my idea! Organizational adoption of user innovations from a user innovation community: a case study of Dell IdeaStorm. Decis. Support Syst. 48, 303–312 (2009)
Di Gangi, P.M., Wasko, M.M., Hooker, R.E.: Getting customers’ ideas work for you: learning from Dell how to succeed with online user innovation communities. MIS Q. Exec. 9 (2010)
Riedl, C., Blohm, I., Leimeister, J.M., Krcmar, H.: The effect of rating scales on decision quality and user attitudes in online innovation communities. Int. J. Electr. Commer. 17, 7–36 (2013)
Goerzen, T., Kundisch, D.: Can the Crowd Substitute Experts in Evaluation of Creative Ideas? An Experimental Study Using Business Models (2016)
March, S.T., Smith, G.F.: Design and natural science research on information technology. Decis. Support Syst. 15, 251–266 (1995)
Briggs, R.O.: On theory-driven design and deployment of collaboration systems. Int. J. Hum.-Comput. Stud. 64, 573–582 (2006)
Gregor, S., Jones, D.: The anatomy of a design theory. J. Assoc. Inf. Syst. 8, 312 (2007)
Sarasvathy, S.D.: Causation and effectuation: toward a theoretical shift from economic inevitability to entrepreneurial contingency. Acad. Manag. Rev. 26, 243–263 (2001)
Tocher, N., Oswald, S.L., Hall, D.J.: Proposing social resources as the fundamental catalyst toward opportunity creation. Strateg. Entrep. J. 9, 119–135 (2015)
Ojala, A.: Business models and opportunity creation: how IT entrepreneurs create and develop business models under uncertainty. Inf. Syst. J. 26, 451–476 (2016)
Wood, M.S., McKinley, W.: The production of entrepreneurial opportunity: a constructivist perspective. Strateg. Entrep. J. 4, 66–84 (2010)
Nambisan, S., Zahra, S.A.: The role of demand-side narratives in opportunity formation and enactment. J. Bus. Ventur. Insights 5, 70–75 (2016)
Gioia, D.A., Chittipeddi, K.: Sensemaking and sensegiving in strategic change initiation. Strateg. Manag. J. 12, 433–448 (1991)
Eggers, J.P., Kaplan, S.: Cognition and capabilities: a multi-level perspective. Acad. Manag. Ann. 7, 295–340 (2013)
Dimov, D.: Grappling with the unbearable elusiveness of entrepreneurial opportunities. Entrep. Theory Pract. 35, 57–81 (2011)
Zott, C., Huy, Q.N.: How entrepreneurs use symbolic management to acquire resources. Adm. Sci. Q. 52, 70–105 (2007)
Huy, Q.N.: Time, temporal capability, and planned change. Acad. Manag. Rev. 26, 601–623 (2001)
Arazy, O., Kumar, N., Shapira, B.: A theory-driven design framework for social recommender systems. J. Assoc. Inf. Syst. 11, 455 (2010)
John, T.: Supporting Business Model Idea Generation Through Machine-generated Ideas: A Design Theory (2016)
Amabile, T.: Creativity in Context. Westview Press, Boulder (1996)
Ozer, M.: The roles of product lead-users and product experts in new product evaluation. Res. Policy 38, 1340–1349 (2009)
Terwiesch, C., Xu, Y.: Innovation contests, open innovation, and multiagent problem solving. Manag. Sci. 54, 1529–1543 (2008)
Magnusson, P.R.: Exploring the contributions of involving ordinary users in ideation of technology-based services. J. Prod. Innov. Manag. 26, 578–593 (2009)
Lüthje, C.: Characteristics of innovating users in a consumer goods field: an empirical study of sport-related product consumers. Technovation 24, 683–695 (2004)
Geiger, D., Schader, M.: Personalized task recommendation in crowdsourcing information systems—current state of the art. Decis. Support Syst. 65, 3–16 (2014)
Deng, H., King, I., Lyu, M.R.: Enhanced models for expertise retrieval using community-aware strategies. IEEE Trans. Syst. Man Cybern. Part B (Cybern.) 42, 93–106 (2012)
Bailey, D.E., Leonardi, P.M., Barley, S.R.: The lure of the virtual. Org. Sci. 23, 1485–1504 (2012)
Carlile, P.R.: A pragmatic view of knowledge and boundaries: boundary objects in new product development. Org. Sci. 13, 442–455 (2002)
Nonaka, I., von Krogh, G.: Perspective—tacit knowledge and knowledge conversion: controversy and advancement in organizational knowledge creation theory. Org. Sci. 20, 635–652 (2009)
John, T., Kundisch, D.: Creativity Through Cognitive Fit: Theory and Preliminary Evidence in a Business Model Idea Generation Context (2015)
Khatri, V., Vessey, I., Ramesh, V., Clay, P., Park, S.-J.: Understanding conceptual schemas: exploring the role of application and IS domain knowledge. Inf. Syst. Res. 17, 81–99 (2006)
Speier, C., Morris, M.G.: The influence of query interface design on decision-making performance. MIS Q. 397–423 (2003)
Dean, D.L., Hender, J.M., Rodgers, T.L., Santanen, E.L.: Identifying quality, novel, and creative ideas: constructs and scales for idea evaluation. J. Assoc. Inf. Syst. 7 (2006)
Zhao, Y., Zhu, Q.: Evaluation on crowdsourcing research: current status and future direction. Inf. Syst. Front. 16, 417–434 (2014)
Todd, P., Benbasat, I.: Evaluating the impact of DSS, cognitive effort, and incentives on strategy selection. Inf. Syst. Res. 10, 356–374 (1999)
Song, M., Podoynitsyna, K., van der Bij, H., Im Halman, J.: Success factors in new ventures: a meta-analysis. J. Prod. Innov. Manag. 25, 7–27 (2008)
Sengupta, K., Abdel-Hamid, T.K.: Alternative conceptions of feedback in dynamic decision environments: an experimental investigation. Manag. Sci. 39, 411–428 (1993)
Wooten, J.O., Ulrich, K.T.: Idea generation and the role of feedback: evidence from field experiments with innovation tournaments. Product. Oper. Manag. (2016)
Gönül, M.S., Önkal, D., Lawrence, M.: The effects of structural characteristics of explanations on use of a DSS. Decis. Support Syst. 42, 1481–1493 (2006)
Silver, M.S.: Decisional guidance for computer-based decision support. MIS Q. 105–122 (1991)
Silver, M.S.: Decisional guidance. Broadening the scope. Adv. Manag. Inf. Syst. 6, 90–119 (2006)
Mahoney, L.S., Roush, P.B., Bandy, D.: An investigation of the effects of decisional guidance and cognitive ability on decision-making involving uncertainty data. Inf. Org. 13, 85–110 (2003)
Montazemi, A.R., Wang, F., Nainar, S.K., Bart, C.K.: On the effectiveness of decisional guidance. Decis. Support Syst. 18, 181–198 (1996)
Parikh, M., Fazlollahi, B., Verma, S.: The effectiveness of decisional guidance: an empirical evaluation. Decis. Sci. 32, 303–332 (2001)
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Dellermann, D., Lipusch, N., Ebel, P. (2017). Developing Design Principles for a Crowd-Based Business Model Validation System. In: Maedche, A., vom Brocke, J., Hevner, A. (eds) Designing the Digital Transformation. DESRIST 2017. Lecture Notes in Computer Science(), vol 10243. Springer, Cham. https://doi.org/10.1007/978-3-319-59144-5_10
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