Ecosystem Effects of the Industrial Internet of Things on Manufacturing Companies

The Industrial Internet of Things (IIoT) represents a novel, future-oriented paradigm of industrial value creation, which facilitates the creation of networks across and within manufacturing companies. Consequently, the IIoT is associated with an adjusted characterization of respective business ecosystems. As current research has primarily focused on the IIoT’s technical fundamentals, economic research is still in its infancy. This article aims at examining the effects of IIoT on manufacturing companies’ business ecosystems by applying a mixed-method approach. Thus, we carried out a quantitative survey among 198 German manufacturers from several industries based on insights of 15 expert interviews. This study contributes to the sparse body of scientific IIoT literature from an economic perspective by revealing that IIoT adoption is associated with greater openness of manufacturers toward participants of all analyzed ecosystem dimensions, i.e., customers, suppliers, organizations external to the own industry, and research institutions. Moreover, an intensified ecosystem integration is expected over time.

Ecosystem Effects of the Industrial Internet of Things on Manufacturing Companies

The Industrial Internet of Things (IIoT) represents a novel, future-oriented paradigm of industrial value creation, which facilitates the creation of networks across and within manufacturing companies. Consequently, the IIoT is associated with an adjusted characterization of respective business ecosystems. As current research has primarily focused on the IIoT’s technical fundamentals, economic research is still in its infancy. This article aims at examining the effects of IIoT on manufacturing companies’ business ecosystems by applying a mixed-method approach. Thus, we carried out a quantitative survey among 198 German manufacturers from several industries based on insights of 15 expert interviews. This study contributes to the sparse body of scientific IIoT literature from an economic perspective by revealing that IIoT adoption is associated with greater openness of manufacturers toward participants of all analyzed ecosystem dimensions, i.e., customers, suppliers, organizations external to the own industry, and research institutions. Moreover, an intensified ecosystem integration is expected over time.

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  • 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(8), 1640015-1-1640015-25.
  • Atzori, L., Iera, A., & Morabito, G. (2010). The Internet of Things: A survey. Computer Networks, 54(15), 2787-2805.
  • Bauer, W., Schlund, S., Marrenbach, D., & Ganschar, O. (2014). Industrie 4.0 – Volkswirtschaftliches Potenzial für Deutschland. BITKOM & Fraunhofer IAO: Berlin & Stuttgart.
  • Berman, S., & Korsten, P. (2014). Leading in the connected era. Strategy & Leadership, 42(1), 37–46.
  • Bonekamp, L., & Sure, M., (2015). Consequences of Industry 4.0 on Human Labour and Work Organisation. Journal of Business and Media Psychology, 6(1), 33-40.
  • Brettel, M., Friederichsen, N., Keller, M., & Rosenberg, M. (2014). How Virtualization, Decentralization and Network Building Change the Manufacturing Landscape: An Industry 4.0 Perspective. International Journal of Mechanical, Aerospace, Industrial and Mechatronics Engineering, 8(1), 37-44.
  • Breznitz, D. (2014). Why Germany Dominates the U.S. in Innovation. Available at https://hbr.org/2014/05/why-germany-dominates-the-u-s-in-innovation.
  • Cooper, D. R., & Schindler, P. S. (1998). Business Research Methods. Burr Ridge, IL: Irwin/McGraw-Hill.
  • Creswell, J. W. & Plano Clark, V. L. (2011). Designing and Conducting Mixed Methods Research. Los Angeles, CA: Sage.
  • Dais, S. (2014). Industrie 4.0 – Anstoß, Vision, Vorgehen. In Bauernhansl, T., ten Hompel, M. & Vogel-Heuser, B. (Eds.), Industrie 4.0 in Produktion, Automatisierung und Logistik – Anwendung, Technologien, Migration (pp. 625-634). Wiesbaden: Springer.
  • Eloranta, V., & Turunen, T. (2016). Platforms in service-driven manufacturing. Leveraging complexity by connecting, sharing, and integrating. Industrial Marketing Management, 55, 178–186.
  • Engelken, M., Römer, B., Drescher, M., & Welpe, I. (2016). Transforming the energy system: Why municipalities strive for energy self-sufficiency. Energy Policy, 89, 365-377.
  • Federal Bureau of Statistics. (2016). Statistisches Jahrbuch 2016. Wiesbaden, Germany: Federal Bureau of Statistics.
  • Fowler, F. J. (1993). Survey Research Methods (2nd. ed.). Thousand Oaks: Sage.
  • Geisberger, E. & Broy, M. (2012). agendaCPS (acatech STUDIE). Heidelberg: Springer.
  • Frazzon, E. M., Hartmann, J., Makuschewitz, T., & Scholz-Reiter, B. (2013). Towards Socio-Cyber-Physical Systems in Production Networks, Procedia CIRP, 7, 49-54.
  • Gioia, D. A., Corley, K. G., & Hamilton, A. L. (2013). Seeking Qualitative Rigor in Inductive Research: Notes on the Gioia Methodology. Organizational Research Methods, 16(1), 15-31.
  • Graebner, M. E. & Eisenhardt, K. M. (2004). The seller’s side of the story: acquisition as courtship and governance as syndicate in entrepreneurial firms. Administrative Science Quarterly, 49(3), 366–403.
  • Iansiti, M. & Levien, R. (2004). The Keystone Advantage: What the New Dynamics of Business Ecosystems Mean for Strategy, Innovation, and Sustainability. Boston: Harvard Business Press.
  • Johnson, R. B. & Onwuegbuzie, A. J. (2004). Mixed Methods Research: A Paradigm Whose Time Has Come. Educational Researcher, 33(7), 14-26.
  • Kelley, D. J., Peters, L., & O'Connor, G. C. (2009). Intra-organizational networking for innovation-based corporate entrepreneurship. Journal of Business Venturing, 24(3), 221-235.
  • Kiel, D., Arnold, C., Collisi, M., & Voigt, K.-I. (2016). The Impact of the Industrial Internet of Things on Established Business Models. In Proc. Int. Conf. Association for Management of Technology IAMOT 2016 (673-695). Orlando, FL.
  • Kurniawan, S. (2008). Older people and mobile phones: A multi-method investigation. International Journal of Human-Computer Studies, 66(12), 889-901.
  • Mazhelis, O., Luoma, E., & Warma, H. (2012). Defining an internet-of-things ecosystem. In Andreev, S., Balandin, S., & Koucheryavy, Y. (Eds.), Internet of Things, Smart Spaces, and Next Generation Networking (pp. 1-14). Berlin, Heidelberg: Springer.
  • Miles, M. B. & Huberman, M. A. (1994). Qualitative Data Analysis. Thousand Oaks: Sage.
  • Moore, J. F. (1997). The death of competiton. Leadership and strategy in the age of business ecosystems. New York, NY: HarperBusiness.
  • Müller, J. W. (2000). Possible Advantages of a Robust Evaluation of Comparisons. Journal of Research of the National Institute of Standards and Technology, 105(4), 551-555.
  • Nagar, B. & Raj, T. (2013). An analytical case study of an advanced manufacturing system for evaluating the impact of human enablers in its performance. Journal of Advances in Management Research, 10(1), 85-99.
  • Obermaier, R. (2016). Industrie 4.0 als unternehmerische Gestaltungsaufgabe. Betriebswirtschaftliche, technische und rechtliche Herausforderungen. Wiesbaden: Springer Gabler.
  • Peltoniemi, M. & Vuori, E. (2004). Business ecosystem as the new approach to complex adaptive business environments. Proceedings of eBusiness research forum, 18, 267-281.
  • Ramsey, E., Ibbotson, P. & McCole, P. (2008). Factors that impact technology innovation adoption among Irish professional service sector. International Journal of Innovation Management, 12(4), 629-654.
  • Venkatesh, V., Brown, S. A., & Bala, H. (2013). Bridging the qualitative-quantitative divide: guidelines for conducting mixed methods research in information systems. MIS Quarterly, 37, 21-54.
  • Vowles N., Thirkell, P., & Sinha, A. (2011). Different determinants at different times: B2B adoption of a eadical innovation. Journal of Business Research, 64(11), 1162-1168.
  • Weill, P. & Woerner, S. L. (2015). Thriving in an Increasing Digital Ecosystem. MIT Sloan Management Review, 45(4), 27-34.