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Customer Surveys as a Quantitative Evaluation Tool for Digital BMI

  • Jan F. TeschEmail author
  • Miriam Lehmbrink
  • Gerrit Remané
  • Lutz M. Kolbe
Chapter
Part of the Progress in IS book series (PROIS)

Abstract

Business model innovation (BMI) in the digital era is subject to more complex value chain networks and ecosystems which leads to an increased amount of uncertainties to deal with. Hence, well-established evaluation tools are questioned in this context. This paper examines quantitative evaluation tools and explores their role with a single case study of a company from the technology sector. Thereby, a methodological approach to incorporate conjoint analysis—exemplary to quantitative evaluation tools—is elaborated. Within the single case study, the methodological approach is applied to evaluate strategic options in a strategic stage of a digital BMI project. As a contribution to research, the paper at hand shows how quantitative evaluation tools have a tremendous impact on the development of a superior business model as a competitive advantage.

Keywords

Business model innovation Evaluation Conjoint analysis Digitalization Internet of Things (IoT)  

References

  1. Abdelkafi, N., Makhotin, S., & Posselt, T. (2013). Business model innovations for electric mobility—What can be learned from existing business model patterns? International Journal of Innovation Management, 17(1), 1–41.Google Scholar
  2. Abu-Assab, S. (2012). Integration of preference analysis methods into quality function deployment: A focus on elderly people (1st ed.). Wiesbaden: Gabler Verlag.Google Scholar
  3. Amit, R., & Zott, C. (2012). Creating value through business model innovation. MIT Sloan Management Review, 53(3), 41–49.Google Scholar
  4. Amshoff, B., Dülme, C., Echterfeld, J., & Gausemeier, J. (2015). Business model patterns for disruptive technologies. International Journal of Innovation Management, 1–22.Google Scholar
  5. Andersson, P., & Mattsson, L.-G. (2015). Service innovations enabled by the “internet of things”. IMP Journal, 9(1), 85–106.Google Scholar
  6. Archos. (2015). ARCHOS smart home Starter Pack. Available at: http://www.archos.com/de/store/index.html?pn=502660&fam_id=connected_home. Accessed July 15, 2015.
  7. Arning, K., & Ziefle, M. (2015). “Get that Camera Out of My House!” conjoint measurement of preferences for video-based healthcare monitoring systems in private and public places. In A. Geissbühler, J. Demongeot, M. Mokhtari, B. Abdulrazak, & H. Aloulou (Eds.), Inclusive Smart Cities and e-Health: Proceedings of the 13th International Conference on Smart Homes and Health Telematics (ICOST 2015), Lecture Notes in Computer Science, Vol. 9102, 1st Edn, Springer International Publishing, Geneva, Switzerland, pp. 152–164.Google Scholar
  8. Arnold, C., Kiel, D., & Voigt, K.-I. (2016). How the industrial internet of things changes business models in different manufacturing industries. International Journal of Innovation Management, 20(08), 1640015.Google Scholar
  9. Atzori, L., Iera, A., & Morabito, G. (2010). The internet of things: A survey. Computer Networks, 54(15), 2787–2805.Google Scholar
  10. Atzori, L., Iera, A., & Morabito, G. (2014). From “smart objects” to “social objects”: The next evolutionary step of the internet of things. Communications Magazine IEEE, 52(1), 97–105.Google Scholar
  11. Backhaus, K., Becker, J., Beverungen, D., Frohs, M., Mueller, O., & Weddeling, M. (2010). Incorporating willingness-to-pay data into online recommendations for value-added services, Pretoria, South Africa. June 7–9, 2010. Available at: http://aisel.aisnet.org/ecis2010/119.
  12. Bajaj, A. (1999). Conjoint analysis: A potential methodology For IS Research. In Proceedings of the 5th Americas Conference on Information S ystems (AMCIS 1999), Paper 128, Milwaukee, USA, pp. 689–691.Google Scholar
  13. Balta-Ozkan, N., Davidson, R., Bicket, M., & Whitmarsh, L. (2013). Social barriers to the adoption of smart homes. Energy Policy, 63, 363–374.Google Scholar
  14. Bandyopadhyay, D., & Sen, J. (2011). Internet of things. Applications and challenges in technology and standardization. Wireless Personal Communications, 58(1), 49–69.Google Scholar
  15. Bilgeri, D., Brandt, V., Tesch, J., & Weinberger, M. (2015). The IoT business model builder. Available at: http://www.iot-lab.ch/?page_id=10738.
  16. Bouwman, H., de Reuver, M., Solaimani, S., Daas, D., Haaker, T., Janssen, W., et al. (2012). Business models tooling and a research agenda. In Bled eConference, Vol. 25.Google Scholar
  17. Brocke, J., Simons, A., Niehaves, B., Niehaves, B., Reimer, K., Plattfaut, R., & Cleven, A. (2009). Reconstructing the giant: On the importance of rigour in documenting the literature search process, Verona, Italy. June 8–10, 2009. Available at: http://aisel.aisnet.org/ecis2009/161.
  18. Broll, G., Rukzio, E., Paolucci, M., Wagner, M., Schmidt, A., & Hussmann, H. (2009). Perci. Pervasive service interaction with the internet of things. IEEE Internet Computing, 13(6), 74–81.Google Scholar
  19. Burkhart, T., Krumeich, J., Werth, D., & Loos, P. (2011). Analyzing the business model concept—A comprehensive classification of literature. In ICIS 2011 Proceedings, Shanghai, CHN, No. 12, pp. 1–19.Google Scholar
  20. Casadesus-Masanell, R., & Ricart, J. E. (2010). From strategy to business models and onto tactics. Long Range Planning, 43(2–3), 195–215.Google Scholar
  21. Casadesus-Masanell, R., & Zhu, F. (2013). Business model innovation and competitive imitation. The case of sponsor-based business models. Strategic Management Journal, 34(4), 464–482.Google Scholar
  22. Cavalcante, S. A. (2014). Designing business model change. International Journal of Innovation Management, 18(02), 1–22.Google Scholar
  23. Chesbrough, H. (2010). Business model innovation: opportunities and barriers. Long Range Planning, 43(2–3), 354–363.Google Scholar
  24. Clark, J., French, A., Shim, J.P., St. Louis, R., & Stevens, B. (2015). Sailing the seven seas, a Blue Ocean of the internet of things. Puerto Rico. August 13–15, 2015. available at: http://aisel.aisnet.org/amcis2015/Panels/GeneralPresentations/5.
  25. Cooper, H. M. (1988). Organizing knowledge syntheses. A taxonomy of literature reviews. Knowledge in Society, 1(1), 104–126.Google Scholar
  26. Daas, D., Hurkmans, T., Overbeek, S., & Bouwman, H. (2013). Developing a decision support system for business model design. Electronic Markets, 23(3), 251–265.Google Scholar
  27. De Reuver, M., Bouwman, H., & Haaker, T. (2013). Business model roadmapping: A practical approach to come from an existing to a desired business model. International Journal of Innovation Management, 17(01), 1–18.Google Scholar
  28. Dietz, W. (2012). Grundlagen der Conjoint-Analyse: Varianten, Vorgehensweise, Anwendungen (1st ed.). Saarbrücken: AV Akademikerverlag.Google Scholar
  29. Dlodlo, N., Foko, T., Mvelase, P., & Mathaba, S. (2012). The state of affairs in internet of things research. Electronic Journal Information Systems Evaluation, 15(3), 244–258.Google Scholar
  30. Dohr, A., Modre-Opsrian, R., Drobics, M., Hayn, D., & Schreier, G., (2010) The internet of things for ambient assisted living, pp. 804–809.Google Scholar
  31. Dong, Z., Yian, Z., Wangbao, L., Jianhua, G., & Yunlan, W. (2010). Object service provision in internet of things. Hainan, Chian: Sanya.Google Scholar
  32. Dütschke, E., Paetz, A.-G. (2013). Dynamic electricity pricing—which programs do consumers prefer? Energy Policy, 59, 226–234.  https://doi.org/10.1016/j.enpol.2013.03.025.Google Scholar
  33. El Sawy, O. A., & Pereira, F. (2013). Business modelling in the dynamic digital space: An ecosystem approach, SpringerBriefs in digital spaces. Berlin: Springer.Google Scholar
  34. Eppler, M. J., Hoffmann, F., & Bresciani, S. (2011). New business models through collaborative idea generation. International Journal of Innovation Management, 15(06), 1323–1341.Google Scholar
  35. Fettke, P. (2006). State-of-the-Art des State-of-the-Art. Wirtschaftsinformatik, 48(4), 257–266.Google Scholar
  36. Fleisch, E. (2010). What is the internet of things? An economic perspective. Economics, Management & Financial Markets, 5(2), 125–157.Google Scholar
  37. Fleisch, E., Weinberger, M., & Wortmann, F. (2014). Business models and the internet of things. Available at: http://www.iot-lab.ch/wp-content/uploads/2014/11/EN_Bosch-Lab-White-Paper-GM-im-IOT-1_3.pdf.
  38. Fleisch, E., Weinberger, M., & Wortmann, F. (2015). Geschäftsmodelle im Internet der Dinge. Schmalenbachs Zeitschrift für betriebswirtschaftliche Forschung, 67(4), 444–465.Google Scholar
  39. Frankenberger, K., Weiblen, T., Csik, M., & Gassmann, O. (2013). The 4I-framework of business model innovation: A structured view on process phases and challenges. International Journal of Product Development, 18(3/4), 1–18.Google Scholar
  40. Garver, M. S. (2010). Measuring the importance of attributes in logistics research. The International Journal of Logistics Management, 21(1), 22–44.Google Scholar
  41. Gassmann, O., Frankenberger, K., & Csik, M. (2013). The St. Gallen business model navigator. Working Paper, In Working Paper, University of St. Gallen, St. Gallen, SUI, pp. 1–15.Google Scholar
  42. Gassmann, O., Frankenberger, K., & Sauer, R. (2016). Exploring the field of business model innovation. Cham: Springer International Publishing.Google Scholar
  43. Gerpott, T. J., & Paukert, M. (2013). Determinants of willingness to pay for smart meters: An empirical analysis of household customers in Germany. Energy Policy, 61, 483–495.Google Scholar
  44. Gieseking, T. (2009). Gewinnoptimale Preisbestimmung in werbefinanzierten Märkten: Eine conjoint-analytische Untersuchung eines Publikumszeitschriftenmarktes, Gabler Research (1st ed.). Wiesbaden: Gabler.Google Scholar
  45. Giessmann, A., Fritz, A., Caton, S., & Legner, C. (2013). A method for simulating cloud business models: A case study on platform as a service. In Proceedings of the Twenty-First European Conference on Information Systems (ECIS), pp. 1–15.Google Scholar
  46. Giessmann, A., & Stanoevska, K. (2012). Platform as a service–A conjoint study on consumers’ preferences. In Proceedings if the Thirty Third International Conference on Information Systems (ICIS).Google Scholar
  47. Gigaset. (2015). Gigaset elements starter kit. Available at: http://www.gigaset.com/de_de/gigaset-elements/elements-starterkit.html. Accessed July 20, 2015.
  48. Giordano, V., & Fulli, G. (2012). A business case for smart grid technologies: A systemic perspective. Energy Policy, 40, 252–259.Google Scholar
  49. Giusto, D., Iera, A., Morabito, G., & Atzori, L. (2010). The internet of things: 20th Tyrrhenian workshop on digital communications. New York: Springer.Google Scholar
  50. Glova, J., Sabol, T., & Vajda, V. (2014). Business models for the internet of things environment. Procedia Economics and Finance, 15, 1122–1129.Google Scholar
  51. 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
  52. Hagiu, A. (2013). Strategic decisions for multisided platforms. MIT Sloan Management Review, 55(2), 71.Google Scholar
  53. Hagiu, A., & Wright, J. (2015). Multi-sided platforms. Working Paper. International Journal of Industrial Organization, 43, 1–31.Google Scholar
  54. Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis: A global perspective (7th ed.). Upper Saddle River, N.J., London: Pearson Education.Google Scholar
  55. Hann, I.-H., Hui, K.-L., Lee, S.-Y., & Png, I. (2007). Overcoming online information privacy concerns. An information-processing theory approach. Journal of Management Information Systems, 24(2), 13–42.Google Scholar
  56. Harper, R. (Ed.). (2003). Inside the smart home (1st ed.). London: Springer.Google Scholar
  57. Hildebrandt, B., Hanelt, A., Piccinini, E., Kolbe, L., & Nierobisch, T. (2015). The value of is in business model innovation for sustainable mobility services—The case of carsharing, Osnabrück. May 4–6, 2015. Available at: http://aisel.aisnet.org/wi2015/68.
  58. Honeywell. (2015). EVOHOME von Honeywell. Available at: http://smart-home-geraete.de/smart-home-anbieter-vergleich/evohome-von-honeywell/. Accessed July 20, 2015.
  59. Howard, S., Kjeldskov, J., & Skov, M. B. (2007). Pervasive computing in the domestic space. Personal and Ubiquitous Computing, 11(5), 329–333.Google Scholar
  60. Johnson, R. M. (1974). Trade-off analysis of consumer values. Journal of Marketing Research, 11(2), 121–127.Google Scholar
  61. Känzig, J., Heinzle, S. L., & Wüstenhagen, R. (2013). Whatever the customer wants, the customer gets? Exploring the gap between consumer preferences and default electricity products in Germany. Energy Policy, 53, 311–322.Google Scholar
  62. Kaufmann, S., Künzel, K., & Loock, M. (2013). Customer value of smart metering: Explorative evidence from a choice-based conjoint study in Switzerland. Energy Policy, 53, 229–239.Google Scholar
  63. Kees, A., Oberlaender, A. M., Roeglinger, M., & Rosemann, M. (2015). Understanding the Internet of Things: A Conceptualisation of Business-to-Thing (B2T) Interactions. In ECIS 2015 Proceedings, Muenster, GER, No. 92, pp. 1–15.Google Scholar
  64. Kossahl, J., Kranz, J., Opitz, N., & Kolbe, L. (2012). A perception-based model for smart grid adoption of distribution system operators—An empirical analysis. Seattle, Washington, August 9–12, 2012. Available at: http://aisel.aisnet.org/amcis2012/proceedings/Posters/52.
  65. Krasnova, H., Hildebrand, T., & Guenther, O. (2009). Investigating the value of privacy in online social networks: Conjoint analysis, Milan, Italy. December 15–18, 2009. Available at: http://aisel.aisnet.org/icis2009/173.
  66. Laudien, S.M. and Daxböck, B. (2016a). Business model innovation processes of average market players. A qualitative-empirical analysis. R&D Management.Google Scholar
  67. Laudien, S. M., & Daxböck, B. (2016b). The influence of the industrial internet of things on business model design: A qualitative-empirical analysis. International Journal of Innovation Management, 20(08), 1640014.Google Scholar
  68. Loebbecke, C., & Picot, A. (2015). Reflections on societal and business model transformation arising from digitization and big data analytics: A research agenda. The Journal of Strategic Information Systems, 24(3), 149–157.  https://doi.org/10.1016/j.jsis.2015.08.002.Google Scholar
  69. Lee, I., & Lee, K. (2015). The internet of things (IoT). Applications, investments, and challenges for enterprises. Business Horizons, 58(4), 431–440.Google Scholar
  70. Lewis, S. C. (2011). Energy in the smart home. In R. Harper (Ed.), The connected home: The future of domestic life (pp. 281–300). London: Springer, London.Google Scholar
  71. Luce, R., & Tukey, J. W. (1964). Simultaneous conjoint measurement. A new type of fundamental measurement. Journal of Mathematical Psychology, 1(1), 1–27.Google Scholar
  72. Mayer, P., Volland, D., Thiesse, F., & Fleisch, E. (2011). User acceptance of ‘Smart Products’: An empirical investigation, Zurich, Switzerland. February 16–18, 2011. Available at: http://aisel.aisnet.org/wi2011/9.
  73. Miorandi, D., Sicari, S., de Pellegrini, F., & Chlamtac, I. (2012). Internet of things: Vision, applications and research challenges. Ad Hoc Networks, 10(7), 1497–1516.Google Scholar
  74. Mobilcom Debitel. (2015). Smarthome Sicherheit Starterpaket.Google Scholar
  75. Nikou, S., Bowman, H., & de Reuver, M. (2013). Do consumers care about mobile service platforms? A conjoint analysis on consumer preference for mobile platforms, Berlin, Germany. June 10–13, 2014. Available at: http://aisel.aisnet.org/icmb2012/4.
  76. Orme, B. K. (2006). Getting started with conjoint analysis: Strategies for product design and pricing research (1st ed.). LLC, Madison, WI: Research Publishers.Google Scholar
  77. Orme, B. K. (2010). Getting started with conjoint analysis: Strategies for product design and pricing research. Chicago: Research Publishers.Google Scholar
  78. Osterwalder, A., Pigneur, Y., & Clark, T. (2010). Business model generation: A handbook for visionaries, game changers, and challengers (1st ed.). Hoboken, NJ: Wiley Inc.Google Scholar
  79. Paetz, A.-G., Dütschke, E., & Fichtner, W. (2012). Smart homes as a means to sustainable energy consumption. A study of consumer perceptions. Journal of Consumer Policy, 35(1), 23–41.Google Scholar
  80. Parks Associates. (2014). Smart home ecosystem: IOT and consumers. Dallas, United States of America: Parks Associates.Google Scholar
  81. Peffers, K., Tuunanen, T., Rothenberger, M. A., & Chatterjee, S. (2007). A design science research methodology for information systems research. Journal of Management Information Systems, 24(3), 45–77.Google Scholar
  82. Pepermans, G. (2014). Valuing smart meters. Energy Economics, 45, 280–294.Google Scholar
  83. Perera, C., Liu, C. H., & Jayawardena, S. (2015). The emerging internet of things marketplace from an industrial perspective. A survey. IEEE Transactions on Emerging Topics in Computing, 3, 585–598.Google Scholar
  84. Poortinga, W., Steg, L., Vlek, C., & Wiersma, G. (2003). Household preferences for energy-saving measures: A conjoint analysis. Journal of Economic Psychology, 24(1), 49–64.  https://doi.org/10.1016/S0167-4870(02)00154-X.Google Scholar
  85. Porter, M. E., & Heppelmann, J. E. (2014). How smart, connected products are transforming competition. Harvard Business Review, 92(11), 11–64.Google Scholar
  86. Quivicon. (2015). Smart Home Shop. Alles aus einer Handy. Available at: https://www.smarthome.de/shop/alle_geraete. Accessed July 25, 2015.
  87. Remane, G., Hanelt, A., Tesch, J., & Kolbe, L. M. (2017). The business model pattern database. A tool for systematic business model innovation. International Journal of Innovation Management, 21(1), 1750004-1–1750004-61.Google Scholar
  88. Ries, E. (2011). The lean startup: How constant innovation creates radically successful businesses. London: Portfolio Penguin.Google Scholar
  89. RWE. (2015). RWE SmartHome Starterpaket. Available at: https://www.rwe-smartstore.de/SmarthomeCatalog/RWE-SmartHome-Starterpaket-zid10188888. Accessed 20 July 2015.
  90. Sawtooth. (2009). Which conjoint method should i use? Research paper series. Available at: https://www.sawtoothsoftware.com/download/techpap/whichmth.pdf.
  91. Sawtooth. (2013). The CBC System for Choice-Based Conjoint Analysis: Version 8, Technical Paper Series, p. 27. Available at: https://sawtoothsoftware.com/download/techpap/cbctech.pdf.
  92. Schneider, S., & Spieth, P. (2013). Business model innovation. Towards an integrated future research agenda. International Journal of Innovation Management, 17(01), 1–35.Google Scholar
  93. Singh, D., Tripathi, G., & Jara, A. J. (2014). A survey of internet-of-things: Future vision, architecture, challenges and services. Korea (South): Seoul.Google Scholar
  94. Solaimani, S. (2014). The alignment of business model and business operations within networked-enterprise environments. TU Delft: Delft University of Technology.Google Scholar
  95. Solaimani, S., Bouwman, H., & Reuver, M. (2010). Smart home: Aligning business models and providers processes; A case survey, Brisbane. December 1–3, 2010.Google Scholar
  96. Tado. (2015). Tado. Intelligent climate control. Deine Bestellung. Available at: https://www.tado.com/de/shop/#/heating/cart. Accessed July 22, 2015.
  97. Tahoma. (2015). TaHoma kaufen. Available at: https://www.somfy.de/smart-home/tahoma/tahoma-kaufen. Accessed July 22, 2015.
  98. Teece, D. J. (2010). Business models, business strategy and innovation. Long Range Planning, 43(2–3), 172–194.Google Scholar
  99. Tesch, J. F. (2016). Discovering the role of scenario planning as an evaluation methodology for business models in the era of the internet of things (IoT). In Proceedings of the Twenty-Fourth European Conference on Information Systems (ECIS), vol. 24, pp. 1–25.Google Scholar
  100. Tesch, J. F., & Brillinger, A.-S. (2017). The evaluation aspect of digital business model innovation: A literature review on tools and methodologies. In Proceedings of the Twenty-Fifth European Conference on Information Systems (ECIS), Vol. 25, pp. 2250–2268.Google Scholar
  101. Tesch, J. F., Brillinger, A.-S., & Bilgeri, D. (2017). Internet of things business model innovation and the stage gate process: An exploratory analysis. International Journal of Innovation Management, 21(5), 1740002.Google Scholar
  102. Townsend, D., Knoefel, F., & Goubran, R. (2011). Privacy Versus Autonomy: A Tradeoff Model for Smart Home Monitoring Technologies. Boston, Massachusetts August 30–September 3, 2011.Google Scholar
  103. Veit, D., Clemons, E., Benlian, A., Buxmann, P., Hess, T., Kundisch, D., et al. (2014). Business Models. Business & Information Systems Engineering, 6(1), 45–53.Google Scholar
  104. Vermesan, O., Friess, P., Guillemin, P., Sundmaeker, H., Eisenhauer, M., Moessner, K., et al. (2013). Internet of things strategic research and innovation agenda. In River Publishers series in communication, pp. 7–151.Google Scholar
  105. Webster, J., & Watson, R. T. (2002). Analyzing the past to prepare for the future: Writing a literature review. Management Information Systems Quarterly, 26(2), 13–23.Google Scholar
  106. Westerlund, M., Leminen, S., & Rajahonka, M. (2014). Designing business models for the internet of things. Technology Innovation Management Review, 4(7), 5–14.Google Scholar
  107. Whitmore, A., Agarwal, A., & Da Xu, L. (2015). The internet of things—A survey of topics and trends. Information Systems Frontiers, 17(2), 261–274.Google Scholar
  108. Wilson, C., Hargreaves, T., & Hauxwell-Baldwin, R. (2015). Smart homes and their users. A systematic analysis and key challenges. Personal and Ubiquitous Computing, 19(2), 463–476.Google Scholar
  109. Wirtz, B. W., Schilke, O., & Ullrich, S. (2010). Strategic development of business models: Implications of the Web 2.0 for creating value on the internet. Long Range Planning, 43(2), 272–290.Google Scholar
  110. Zibuschka, J., Nofer, M., & Hinz, O. (2016). Zahlungsbereitschaft für Datenschutzfunktionen intelligenter Assistenten. In Multikonferenz Wirtschaftsinformatik (MKWI), Ilmenau, pp. 1391–1402.Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Jan F. Tesch
    • 1
    Email author
  • Miriam Lehmbrink
    • 1
  • Gerrit Remané
    • 1
  • Lutz M. Kolbe
    • 1
  1. 1.University of GöttingenGöttingenGermany

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