Skip to main content

Developing Design Principles for a Crowd-Based Business Model Validation System

  • Conference paper
  • First Online:
Designing the Digital Transformation (DESRIST 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10243))

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. 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)

    Article  Google Scholar 

  2. Blank, S.: Why the lean start-up changes everything. Harv. Bus.Rev. 91, 63–72 (2013)

    Google Scholar 

  3. 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)

    Article  Google Scholar 

  4. Al-Debei, M.M., Avison, D.: Developing a unified framework of the business model concept. Eur. J. Inf. Syst. 19, 359–376 (2010)

    Article  Google Scholar 

  5. Osterwalder, A., Pigneur, Y.: Business Model Generation: A Handbook for Visionaries, Game Changers, and Challengers. Wiley, Hoboken (2010)

    Google Scholar 

  6. 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)

    Article  Google Scholar 

  7. Hevner, S., March, P., Park, J.J., Ram, S.: Design science research in information systems. Manag. Inf. Syst. Q. 28, 75–105 (2004)

    Google Scholar 

  8. 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)

    Article  Google Scholar 

  9. Vaishnavi, V., Kuechler, W.: Design research in information systems (2004)

    Google Scholar 

  10. Zott, C., Amit, R., Massa, L.: The business model: recent developments and future research. J. Manag. 37, 1019–1042 (2011)

    Google Scholar 

  11. 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)

    Google Scholar 

  12. Morris, M., Schindehutte, M., Allen, J.: The entrepreneur’s business model: toward a unified perspective. J. Bus. Res. 58, 726–735 (2005)

    Article  Google Scholar 

  13. Teece, D.J.: Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance. Strateg. Manag. J. 28, 1319–1350 (2007)

    Article  Google Scholar 

  14. 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)

    Article  Google Scholar 

  15. 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)

    Article  Google Scholar 

  16. Alvarez, S.A., Barney, J.B.: Discovery and creation: alternative theories of entrepreneurial action. Strateg. Entrep. J. 1, 11–26 (2007)

    Article  Google Scholar 

  17. 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)

    Article  Google Scholar 

  18. 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)

    Article  Google Scholar 

  19. 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)

    Article  Google Scholar 

  20. 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)

    Article  Google Scholar 

  21. Toubia, O., Florès, L.: Adaptive idea screening using consumers. Mark. Sci. 26, 342–360 (2007)

    Article  Google Scholar 

  22. Klein, M., Garcia, A.C.B.: High-speed idea filtering with the bag of lemons. Decis. Support Syst. 78, 39–50 (2015)

    Article  Google Scholar 

  23. 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)

    Article  Google Scholar 

  24. 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)

    Article  Google Scholar 

  25. 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)

    Article  Google Scholar 

  26. 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)

    Google Scholar 

  27. 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)

    Article  Google Scholar 

  28. Goerzen, T., Kundisch, D.: Can the Crowd Substitute Experts in Evaluation of Creative Ideas? An Experimental Study Using Business Models (2016)

    Google Scholar 

  29. March, S.T., Smith, G.F.: Design and natural science research on information technology. Decis. Support Syst. 15, 251–266 (1995)

    Article  Google Scholar 

  30. Briggs, R.O.: On theory-driven design and deployment of collaboration systems. Int. J. Hum.-Comput. Stud. 64, 573–582 (2006)

    Article  Google Scholar 

  31. Gregor, S., Jones, D.: The anatomy of a design theory. J. Assoc. Inf. Syst. 8, 312 (2007)

    Google Scholar 

  32. Sarasvathy, S.D.: Causation and effectuation: toward a theoretical shift from economic inevitability to entrepreneurial contingency. Acad. Manag. Rev. 26, 243–263 (2001)

    Google Scholar 

  33. 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)

    Article  Google Scholar 

  34. Ojala, A.: Business models and opportunity creation: how IT entrepreneurs create and develop business models under uncertainty. Inf. Syst. J. 26, 451–476 (2016)

    Article  Google Scholar 

  35. Wood, M.S., McKinley, W.: The production of entrepreneurial opportunity: a constructivist perspective. Strateg. Entrep. J. 4, 66–84 (2010)

    Article  Google Scholar 

  36. Nambisan, S., Zahra, S.A.: The role of demand-side narratives in opportunity formation and enactment. J. Bus. Ventur. Insights 5, 70–75 (2016)

    Article  Google Scholar 

  37. Gioia, D.A., Chittipeddi, K.: Sensemaking and sensegiving in strategic change initiation. Strateg. Manag. J. 12, 433–448 (1991)

    Article  Google Scholar 

  38. Eggers, J.P., Kaplan, S.: Cognition and capabilities: a multi-level perspective. Acad. Manag. Ann. 7, 295–340 (2013)

    Article  Google Scholar 

  39. Dimov, D.: Grappling with the unbearable elusiveness of entrepreneurial opportunities. Entrep. Theory Pract. 35, 57–81 (2011)

    Article  Google Scholar 

  40. Zott, C., Huy, Q.N.: How entrepreneurs use symbolic management to acquire resources. Adm. Sci. Q. 52, 70–105 (2007)

    Article  Google Scholar 

  41. Huy, Q.N.: Time, temporal capability, and planned change. Acad. Manag. Rev. 26, 601–623 (2001)

    Article  Google Scholar 

  42. Arazy, O., Kumar, N., Shapira, B.: A theory-driven design framework for social recommender systems. J. Assoc. Inf. Syst. 11, 455 (2010)

    Google Scholar 

  43. John, T.: Supporting Business Model Idea Generation Through Machine-generated Ideas: A Design Theory (2016)

    Google Scholar 

  44. Amabile, T.: Creativity in Context. Westview Press, Boulder (1996)

    Google Scholar 

  45. Ozer, M.: The roles of product lead-users and product experts in new product evaluation. Res. Policy 38, 1340–1349 (2009)

    Article  Google Scholar 

  46. Terwiesch, C., Xu, Y.: Innovation contests, open innovation, and multiagent problem solving. Manag. Sci. 54, 1529–1543 (2008)

    Article  Google Scholar 

  47. Magnusson, P.R.: Exploring the contributions of involving ordinary users in ideation of technology-based services. J. Prod. Innov. Manag. 26, 578–593 (2009)

    Article  Google Scholar 

  48. Lüthje, C.: Characteristics of innovating users in a consumer goods field: an empirical study of sport-related product consumers. Technovation 24, 683–695 (2004)

    Article  Google Scholar 

  49. Geiger, D., Schader, M.: Personalized task recommendation in crowdsourcing information systems—current state of the art. Decis. Support Syst. 65, 3–16 (2014)

    Article  Google Scholar 

  50. 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)

    Article  Google Scholar 

  51. Bailey, D.E., Leonardi, P.M., Barley, S.R.: The lure of the virtual. Org. Sci. 23, 1485–1504 (2012)

    Article  Google Scholar 

  52. Carlile, P.R.: A pragmatic view of knowledge and boundaries: boundary objects in new product development. Org. Sci. 13, 442–455 (2002)

    Article  Google Scholar 

  53. 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)

    Article  Google Scholar 

  54. John, T., Kundisch, D.: Creativity Through Cognitive Fit: Theory and Preliminary Evidence in a Business Model Idea Generation Context (2015)

    Google Scholar 

  55. 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)

    Article  Google Scholar 

  56. Speier, C., Morris, M.G.: The influence of query interface design on decision-making performance. MIS Q. 397–423 (2003)

    Google Scholar 

  57. 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)

    Google Scholar 

  58. Zhao, Y., Zhu, Q.: Evaluation on crowdsourcing research: current status and future direction. Inf. Syst. Front. 16, 417–434 (2014)

    Article  Google Scholar 

  59. Todd, P., Benbasat, I.: Evaluating the impact of DSS, cognitive effort, and incentives on strategy selection. Inf. Syst. Res. 10, 356–374 (1999)

    Article  Google Scholar 

  60. 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)

    Article  Google Scholar 

  61. Sengupta, K., Abdel-Hamid, T.K.: Alternative conceptions of feedback in dynamic decision environments: an experimental investigation. Manag. Sci. 39, 411–428 (1993)

    Article  Google Scholar 

  62. Wooten, J.O., Ulrich, K.T.: Idea generation and the role of feedback: evidence from field experiments with innovation tournaments. Product. Oper. Manag. (2016)

    Google Scholar 

  63. 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)

    Article  Google Scholar 

  64. Silver, M.S.: Decisional guidance for computer-based decision support. MIS Q. 105–122 (1991)

    Google Scholar 

  65. Silver, M.S.: Decisional guidance. Broadening the scope. Adv. Manag. Inf. Syst. 6, 90–119 (2006)

    Google Scholar 

  66. 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)

    Article  Google Scholar 

  67. Montazemi, A.R., Wang, F., Nainar, S.K., Bart, C.K.: On the effectiveness of decisional guidance. Decis. Support Syst. 18, 181–198 (1996)

    Article  Google Scholar 

  68. Parikh, M., Fazlollahi, B., Verma, S.: The effectiveness of decisional guidance: an empirical evaluation. Decis. Sci. 32, 303–332 (2001)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Dominik Dellermann .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

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

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-59144-5_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59143-8

  • Online ISBN: 978-3-319-59144-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics