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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. Address: 55 Laurier Avenue East, Ottawa, ON K1N 6N5, Canada)

  • Gregory Richards

    (Telfer School of Management, University of Ottawa. Address: 55 Laurier Avenue East, Ottawa, ON K1N 6N5, Canada)

  • Jack Smith

    (Telfer School of Management, University of Ottawa. Address: 55 Laurier Avenue East, Ottawa, ON K1N 6N5, Canada)

Abstract

Creating industrial policy and 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 or will have been overtaken by more advanced technologies. In several cases, the authors have seen these programmes fail because the intended targets of the programme did not apply to use the programme funds (poorly targeted program) or did not use the programme properly. An integrated programme involving foresight, competitive intelligence and business analytics assists in decreasing the probability of the risks and problems described above, resulting in better designed and more successful industrial policy. These techniques can also be used to create a dashboard for monitoring programme use so that any problems can be corrected early on. The dashboard uses advanced analytics to assess programme applications and programme inquiries to assess whether the programme is being used properly. Via an integrated intelligence process, it monitors the external environment to ensure that programme assumptions in terms of what technologies are most appropriate remain valid. The dashboard relies on information available in open sources and available to the government.

Suggested Citation

  • Jonathan Calof & Gregory Richards & Jack Smith, 2015. "Foresight, Competitive Intelligence and Business Analytics — Tools for Making Industrial Programmes More Efficient," Foresight-Russia Форсайт, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 9(1 (eng)), pages 68-81.
    • Handle: RePEc:scn:013126:15724043
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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.

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