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Strategic flexibility analysis of agrifood nanotechnology skill needs identification

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  • Yawson, Robert M.
  • Greiman, Bradley C.

Abstract

The world is experiencing significant, largely economic and sociotechnical, induced change. These induced changes are meaningful with a function of people taking collective actions around common beliefs. These changes are more than jargon, cliché, and hyperbole, and they are effecting major transformations. These transformations will impact on how human resources are developed, and we need to be able to forecast its effects. In order to produce such forecasts, Human Resource Development needs to become more predictive - to develop the ability to understand how human capital systems and organizations will behave in future. As part of a multi-phase, mixed methods study design based on systems and complexity theories to identify skill needs for the emerging agrifood nanotechnology sector, a strategic flexibility analysis (SFA) was conducted. Strategic Flexibility Framework (SFF) is a scenario analysis tool and its use in this study is based on the idea that Business Leaders, Managers, Educators and Human Resource Development professionals require flexibility to adjust decisions within given constraints. This paper describes the use of strategic flexibility analysis and the qualitative systems approaches as tools for systems research and it implications for human resources development and management.

Suggested Citation

  • Yawson, Robert M. & Greiman, Bradley C., 2017. "Strategic flexibility analysis of agrifood nanotechnology skill needs identification," Technological Forecasting and Social Change, Elsevier, vol. 118(C), pages 184-194.
    • Handle: RePEc:eee:tefoso:v:118:y:2017:i:c:p:184-194
    DOI: 10.1016/j.techfore.2017.02.019
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    References listed on IDEAS

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    1. Yawson, Robert M., 2009. "The ecological system of innovation: A new architectural framework for a functional evidence-based platform for science and innovation policy," MPRA Paper 33179, University Library of Munich, Germany.
    2. Saritas, Ozcan & Nugroho, Yanuar, 2012. "Mapping issues and envisaging futures: An evolutionary scenario approach," Technological Forecasting and Social Change, Elsevier, vol. 79(3), pages 509-529.
    3. Robert M. Yawson, 2015. "The 'wicked problem construct' for organisational leadership and development," International Journal of Business and Systems Research, Inderscience Enterprises Ltd, vol. 9(1), pages 67-85.
    4. Robert Yawson & Jennifer Kuzma, 2010. "Systems Mapping of Consumer Acceptance of Agrifood Nanotechnology," Journal of Consumer Policy, Springer, vol. 33(4), pages 299-322, December.
    5. repec:ilo:ilowps:464283 is not listed on IDEAS
    6. Zanoli, Raffaele & Gambelli, Danilo & Vairo, Daniela, 2012. "Scenarios of the organic food market in Europe," Food Policy, Elsevier, vol. 37(1), pages 41-57.
    7. Giaoutzi, M. & Stratigea, A. & Leeuwen, E.S. van & Nijkamp, P., 2011. "Scenario analysis in foresight: AG2020," Serie Research Memoranda 0037, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
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    Cited by:

    1. Mengmeng Meng & Jiasu Lei & Jie Jiao & Qiuyan Tao, 2020. "How does strategic flexibility affect bricolage: The moderating role of environmental turbulence," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-18, August.

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