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Key principles for developing industrially relevant strategic technology management toolkits

Author

Listed:
  • Kerr, Clive
  • Farrukh, Clare
  • Phaal, Robert
  • Probert, David

Abstract

When considering the potential uptake and utilization of technology management tools by industry, it must be recognized that companies face the difficult challenges of selecting, adopting and integrating individual tools into a toolkit that must be implemented within their current organizational processes and systems. This situation is compounded by the lack of sound advice on integrating well-founded individual tools into a robust toolkit that has the necessary degree of flexibility such that they can be tailored for application to specific problems faced by individual organizations. As an initial stepping stone to offering a toolkit with empirically proven utility, this paper provides a conceptual foundation to the development of toolkits by outlining an underlying philosophical position based on observations from multiple research and commercial collaborations with industry. This stance is underpinned by a set of operationalized principles that can offer guidance to organizations when deciding upon the appropriate form, functions and features that should be embodied by any potential tool/toolkit. For example, a key objective of any tool is to aid decision-making and a core set of powerful, flexible, scaleable and modular tools should be sufficient to allow users to generate, explore, shape and implement possible solutions across a wide array of strategic issues. From our philosophical stance, the preferred mode of engagement is facilitated workshops with a participatory process that enables multiple perspectives and structures the conversation through visual representations in order to manage the cognitive load in the collaborative environment. The generic form of the tools should be configurable for the given context and utilized in a lightweight manner based on the premise of ‘start small and iterate fast’.

Suggested Citation

  • Kerr, Clive & Farrukh, Clare & Phaal, Robert & Probert, David, 2013. "Key principles for developing industrially relevant strategic technology management toolkits," Technological Forecasting and Social Change, Elsevier, vol. 80(6), pages 1050-1070.
  • Handle: RePEc:eee:tefoso:v:80:y:2013:i:6:p:1050-1070
    DOI: 10.1016/j.techfore.2012.09.006
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    Citations

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    Cited by:

    1. Farrukh, Clare & Holgado, Maria, 2020. "Integrating sustainable value thinking into technology forecasting: A configurable toolset for early stage technology assessment," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    2. Kerr, Clive & Phaal, Robert, 2018. "Directing the technology intelligence activity: An ‘information needs’ template for initiating the search," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 265-276.
    3. Qian Ma & Weiwei Wu & Yexin Liu, 2021. "The Fit between Technology Management and Technological Capability and Its Impact on New Product Development Performance," Sustainability, MDPI, vol. 13(19), pages 1-12, October.
    4. Zhao, S.L. & Cacciolatti, L. & Lee, S.H. & Song, W., 2015. "Regional collaborations and indigenous innovation capabilities in China: A multivariate method for the analysis of regional innovation systems," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 202-220.
    5. Cacciolatti, Luca & Lee, Soo Hee, 2016. "Revisiting the relationship between marketing capabilities and firm performance: The moderating role of market orientation, marketing strategy and organisational power," Journal of Business Research, Elsevier, vol. 69(12), pages 5597-5610.
    6. Dufva, Mikko & Ahlqvist, Toni, 2015. "Knowledge creation dynamics in foresight: A knowledge typology and exploratory method to analyse foresight workshops," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 251-268.
    7. Wield, David & Tait, Joyce & Chataway, Joanna & Mittra, James & Mastroeni, Michele, 2017. "Conceptualising and practising multiple knowledge interactions in the life sciences," Technological Forecasting and Social Change, Elsevier, vol. 116(C), pages 308-315.
    8. Park, Hyunkyu & Phaal, Rob & Ho, Jae-Yun & O'Sullivan, Eoin, 2020. "Twenty years of technology and strategic roadmapping research: A school of thought perspective," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
    9. Kayabay, Kerem & Gökalp, Mert Onuralp & Gökalp, Ebru & Erhan Eren, P. & Koçyiğit, Altan, 2022. "Data science roadmapping: An architectural framework for facilitating transformation towards a data-driven organization," Technological Forecasting and Social Change, Elsevier, vol. 174(C).

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