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Plug-and-Play Capabilities

Secure Technologies, Staff, and Processes on Demand to Support Innovation

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The Innovation Butterfly

Part of the book series: Understanding Complex Systems ((UCS))

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Abstract

As we described earlier, the SROM cycle can be used to shape the customer needs and to exploit the innovation butterflies, thus setting the scene for successful maneuver-driven competition. In the last chapter, we described how modularizing capability risk across the innovation portfolio enables a faster tempo for the SROM cycle, which increases the chances that an innovation firm can shape the innovation system to its own benefit. We now describe how common processes and tools, such as talent management, workforce planning, shared business processes, and information management systems can also help accomplish these ambitions. We also note that implementing such “processes” can turn out to be a double-edged sword—some view this to be a straightjacket that crimps the creative process.

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Notes

  1. 1.

    Wheatley, M.J.: Leadership and the New Science: Order in a Chaotic World, p. 68. Barrett-Koehler, San Francisco (1994).

  2. 2.

     The evolution of processes and staffing in innovation settings cannot studied without explicit attention to knowledge creation and management issues. We have elected not to address these issues explicitly for brevity. For formal studies in this domain, see:

    • •Anderson, E.G.: Managing the impact of high market growth and learning on knowledge worker productivity and service quality. Eur. J. Oper. Res. 134(3), 508–524 (2001).

    • •Carrillo, J., Gaimon, C.: Managing knowledge-based resource capabilities under uncertainty. Manage. Sci. 50(11):1504–1518 (2004).

    • •Ozkan, G., Gaimon, C., Kavadias, S.: Knowledge Management Strategies for Product and Process Design Teams. ssrn.com/abstract  =  1520771 (2009).

  3. 3.

    For a discussion of integration issues, see:

    • •Parker, G.G., Anderson, E.G.: From buyer to integrator: the transformation of the supply chain manager in the vertically disintegrating firm. Prod. Oper. Manage. 11(1), 75–91 (2002).

    For a discussion of interruptions during distributed development, see:

    • •Anderson, E., Davis-Blake, A., Erzurumlu, S., Joglekar, N., Parker, G.: Managing Distributed Product Development across Organizational Boundaries, Chapter 10. In: Loch, C., Kavadias, S. (eds.) The Handbook of New Product Development Management, Butterworth–Heineman, Oxford (2008).

  4. 4.

    Young, M.B.: Strategic Workforce Planning in Global Organizations, Research Report. The Conference Board (2010).

  5. 5.

    Shankaranarayan, G., Joglekar, N.R., Anderson, E.G.: Managing Accuracy of Project Data in a Distributed Project Setting. Proceedings of ICIQ, Little Rock, AR (2010).

  6. 6.

    Verzuh, E.: The Fast Forward MBA in Project Management, 2nd edn. Wiley, New York (2005).

  7. 7.

    Yassine, A., Joglekar, N., Braha, D., Eppinger, S., Whitney, D.: Information hiding in product development: the design churn effect. Res. Eng. Des. 14, 145–161 (2003).

  8. 8.

    Ford, D, Sterman, J.: The Liar’s club: concealing rework in concurrent development. Concurr. Eng. Res. Appl. 11(3):211–219 (2003).

  9. 9.

    Wheelwright, S., Clark, K.: Revolutionizing Product Development: Quantum (1992).

    Leaps in Speed, Efficiency, and Quality. The Free Press, New York.

  10. 10.

    Shankaranarayan, G., Joglekar, N.R., Anderson, E.G.: Managing Accuracy of Project Data in a Distributed Project Setting. Proceedings of ICIQ, Little Rock, AR (2010)

  11. 11.

    For the impact of Boston’s Big Dig project on rework and delays, see:

    • •Review Begins After Big Dig Tunnel Collapse. CNN.com. 2006-07-12. http://edition.cnn.com/2006/US/07/12/bigdigdeath.ap/index.html. Accessed 25 Jul 25.

    • •Big Dig’s red ink engulfs state, Boston Globe, July 17, 2008. This article indicates that, in all, the project will cost an additional $7 billion in interest, bringing the total to a staggering $22 billion, according to a Globe review of hundreds of pages of state documents. It will not be paid off until 2038.

  12. 12.

    See, for instance: http://web.mit.edu/tdqm/www/about.shtml.

  13. 13.

    From aircraft.wikia.com/wiki/Boeing_777.

  14. 14.

    In many industries the use of IS tools is much more widespread for technical problem solving than for coordinating distributed efforts. The use of automated collaboration tools results in a higher quality product (Joglekar and Whitney 1999) analogous to the information system productivity paradox (Brynjolfson and Hitt 1998): productivity gains are offset by a firm’s tendency to deliver higher quality goods. Allied ideas are explored by Bardhan et al (2007) and Nambisan (2009).

    • •Brynjolfsson, E., Hitt, L. Paradox Lost? Firm-level evidence on the returns to information systems spending. In: Willcocks, L., Lester, S. (eds.) Beyond the IT Productivity Paradox: Assessment Issues. McGraw Hill, Maidenhead (1998). Reprinted from Management Science, 1996.

    • •Joglekar, N.R., Whitney, D.E.: Automation Usage Pattern during Complex Electro Mechanical Product Development. MIT Center for Technology Policy and Industrial Development Report, prepared under contract for the US Air Force Research Laboratory (US-AFRL) (1999).

    • •Bardhan, I.R., Krishnan, V., Lin, S.: Project performance and the enabling role of information technology: an exploratory study on the role of alignment. Manuf. Serv. Oper. Manage 9(14), 579–595 (2007).

    • •Nambisan, S.: Information Technology and Product Development. Springer (2009).

  15. 15.

    Thomke, S.: Capturing the real value of innovation tools. MIT Sloan Manage. Rev. 47(2), (2006).

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Anderson, E.G., Joglekar, N.R. (2012). Plug-and-Play Capabilities. In: The Innovation Butterfly. Understanding Complex Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-3131-2_7

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  • DOI: https://doi.org/10.1007/978-1-4614-3131-2_7

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  • Publisher Name: Springer, New York, NY

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