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Foresight, Competitive Intelligence and Business Analytics — Tools for Making Industrial Programmes More Efficient

Author

Listed:
  • Jonathan Calof

    (Telfer School of Management, University of Ottawa (Canada))

  • Gregory Richards

    (Telfer School of Management, University of Ottawa (Canada))

  • Jack Smith

    (Telfer School of Management, University of Ottawa (Canada))

Abstract

Creating industrial programmes, especially in technology, is fraught with high levels of uncertainty. These programmes target the development of products that will not be sold for several years; therefore, one of the risks is that the products will no longer be in demand due to the emergence of more advanced technologies. The paper proposes an integrated approach involving the complementary functions of foresight, intelligence and business analytics. The tools of foresight and intelligence are focused on the external environment and enable industry and researchers to, among other things, understand the direction in which markets and technologies are evolving, and profile local industries to determine which policy instruments may be effective in these industries. Signals picked up today through externally focused intelligence studies can be used to confirm conclusions from longer term foresight initiatives such as scenarios, roadmaps and scans, thereby providing the information needed to establish the long-term industrial policy that science and technology related industries require. The authors propose a dashboard for monitoring an industrial programme’s use so that any problems can be corrected early on. The dashboard relies on both information available in open sources and that accessible to a government. Combining foresight, intelligence and business analytics is believed to not only decrease uncertainty and risk but also make it more likely that the policy is implemented by its intended audience and that industry opportunities are identified at an early stage. To illustrate how this approach works in practice, the paper discusses a hypothetical case of a state programme to develop the nutraceuticals industry in Canada.

Suggested Citation

  • Jonathan Calof & Gregory Richards & Jack Smith, 2015. "Foresight, Competitive Intelligence and Business Analytics — Tools for Making Industrial Programmes More Efficient," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 9(1), pages 68-81.
  • Handle: RePEc:hig:fsight:v:9:y:2015:i:1:p:68-81
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    References listed on IDEAS

    as
    1. Small, Henry & Boyack, Kevin W. & Klavans, Richard, 2014. "Identifying emerging topics in science and technology," Research Policy, Elsevier, vol. 43(8), pages 1450-1467.
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    Citations

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    Cited by:

    1. Bradford Ashton, 2020. "Intelligent Technology Scanning: Aims, Content, and Practice," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 14(3), pages 15-29.
    2. Svetlana V. Sibatrova & Konstantin Vishnevskiy, 2016. "Present and Future of the Production: Integrating Lean Management into Corporate Foresight," HSE Working papers WP BRP 66/STI/2016, National Research University Higher School of Economics.
    3. Anna Nikolaevna Schmeleva & Maria Gennadyevna Umnova, 2017. "Enhancement of Academic Research Activity in Higher Education Institutions with the Usage of Foresight Methodology," International Review of Management and Marketing, Econjournals, vol. 7(1), pages 442-451.
    4. Gershman, Mikhail & Bredikhin, Sergey & Vishnevskiy, Konstantin, 2016. "The role of corporate foresight and technology roadmapping in companies' innovation development: The case of Russian state-owned enterprises," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 187-195.
    5. Hakmaoui, Abdelati & Oubrich, Mourad & Calof, Jonathan & El Ghazi, Hamid, 2022. "Towards an anticipatory system incorporating corporate foresight and competitive intelligence in creating knowledge: a longitudinal Moroccan bank case study," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    6. Luminița Hurbean & Florin Militaru & Mihaela Muntean & Doina Danaiata, 2023. "The Impact of Business Intelligence and Analytics Adoption on Decision Making Effectiveness and Managerial Work Performance," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 70(SI), pages 43-54, February.
    7. Madureira, Luís & Popovič, Aleš & Castelli, Mauro, 2021. "Competitive intelligence: A unified view and modular definition," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    8. Murat Sahin & Christophe Bisson, 2021. "A Competitive Intelligence Practices Typology in an Airline Company in Turkey," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(2), pages 899-922, June.
    9. Marisela Rodriguez & Francisco Paredes, 2015. "Technological Landscape and Collaborations in Hybrid Vehicles Industry," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 9(2), pages 6-21.

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    More about this item

    Keywords

    foresight; competitive intelligence; business analytics; state programmes; profiling; monitoring; dashboard;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

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