Foresight, Competitive Intelligence and Business Analytics — Tools for Making Industrial Programmes More Efficient
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 mor...
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| Format: | Article |
| Language: | English |
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National Research University Higher School of Economics
2015-03-01
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| Series: | Foresight and STI Governance |
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| Online Access: | https://foresight-journal.hse.ru/article/view/19340 |
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| author | Jonathan Calof Gregory Richards Jack Smith |
| author_facet | Jonathan Calof Gregory Richards Jack Smith |
| author_sort | Jonathan Calof |
| collection | DOAJ |
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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.
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| format | Article |
| id | doaj-art-0d8a82ede67b4b61b59040dd136416e9 |
| institution | Kabale University |
| issn | 2500-2597 |
| language | English |
| publishDate | 2015-03-01 |
| publisher | National Research University Higher School of Economics |
| record_format | Article |
| series | Foresight and STI Governance |
| spelling | doaj-art-0d8a82ede67b4b61b59040dd136416e92025-08-20T03:50:17ZengNational Research University Higher School of EconomicsForesight and STI Governance2500-25972015-03-019110.17323/1995-459X.2015.1.68.81Foresight, Competitive Intelligence and Business Analytics — Tools for Making Industrial Programmes More EfficientJonathan Calof0Gregory Richards1Jack Smith2HSE University; Telfer School of Management, University of Ottawa, 55 Laurier Avenue East, Ottawa, ON K1N 6N5, Canada Telfer School of Management, University of Ottawa, 55 Laurier Avenue East, Ottawa, ON K1N 6N5, Canada Telfer School of Management, University of Ottawa, 55 Laurier Avenue East, Ottawa, ON K1N 6N5, Canada 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. https://foresight-journal.hse.ru/article/view/19340foresightcompetitive intelligencebusiness analyticsstate programmesprofilingmonitoring |
| spellingShingle | Jonathan Calof Gregory Richards Jack Smith Foresight, Competitive Intelligence and Business Analytics — Tools for Making Industrial Programmes More Efficient Foresight and STI Governance foresight competitive intelligence business analytics state programmes profiling monitoring |
| title | Foresight, Competitive Intelligence and Business Analytics — Tools for Making Industrial Programmes More Efficient |
| title_full | Foresight, Competitive Intelligence and Business Analytics — Tools for Making Industrial Programmes More Efficient |
| title_fullStr | Foresight, Competitive Intelligence and Business Analytics — Tools for Making Industrial Programmes More Efficient |
| title_full_unstemmed | Foresight, Competitive Intelligence and Business Analytics — Tools for Making Industrial Programmes More Efficient |
| title_short | Foresight, Competitive Intelligence and Business Analytics — Tools for Making Industrial Programmes More Efficient |
| title_sort | foresight competitive intelligence and business analytics tools for making industrial programmes more efficient |
| topic | foresight competitive intelligence business analytics state programmes profiling monitoring |
| url | https://foresight-journal.hse.ru/article/view/19340 |
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