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 and one of the risks is that the products will no longer be in demand or have been overtaken by more advanced technologies. In several cases, the authors have seen these programmes fail, because the intended targets of the programmes did not apply to use the programme funds (poorly targeted programme), or they did not use the programme properly or the programmes technology goals were no longer commercially viable. An integrated programme involving foresight, 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 programmes use so that any problems can be corrected early. The dashboard uses advanced analytics to assess programme applications and programme inquiries to assess whether the programme is being used properly and via an integrated intelligence and foresight process 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.
Keywords
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Table 11.1 was developed by Jack Smith and Dr. Saritas as a contribution to the 2008 European Commission’s Future Technologies Assessment Conference overview report on the Big Picture Survey.
References
Ashton WB, Klavans RA (1997) Keeping abreast of science and technology: technical intelligence for business. Battelle, Columbus
Bergeron P (2000) Government approaches to foster competitive intelligence practice in SMEs: a comparative study of eight governments. Proc Annu Meet Am Soc Inf Sci 37:301–308
Bonthous J (1995) Understanding intelligence across cultures. Compet Intell Rev 4(Summer/Fall):12–19
Calof J, Skinner B (1999) Government’s role in competitive intelligence: what’s happening in Canada? Compet Intell Mag 2(2):20–23
Calof J, Smith J (2010) The integrative domain of foresight and competitive intelligence and its impact on R&D management. R&D Manag 40(1):31–39
Calof J, Richards G, Smith J (2015) Foresight, competitive intelligence and business analytics—tools for making industrial programmes more efficient. Foresight-Russia 9(1):68–81
Davenport T, Harris J, Morrison R (2010) Analytics at work: smarter decisions, better results. Harvard Business School Press, Boston
Du Toit ASA (2013) Comparative study of competitive intelligence practices between two retail banks in Brazil and South Africa. J IntellStud Bus 2:30–39
Fehringer D, Hohhof B, Johnson T (2006) State of the art competitive intelligence. Competitive Intelligence Foundation, San Antonio
Fleisher CS, Bensoussan B (2002) Strategic and competitive analysis: methods and techniques for analyzing business competition. Prentice Hall, Upper Saddle River, NJ
For-Learn (2014) Excerpt from online foresight guide. http://forlearn.jrc.ec.europa.eu/guide/9_key-terms/foresight.htm. Accessed 8 Aug 2015
Fruchet G (2009) Effective practices for implementing CTI in large R&D organizations in competitive technical intelligence. In: Ashton R, Hohhof B (eds) The competitive technical intelligence book, vol 4. Competitive Intelligence Foundation, San Antonio, TX, pp 37–54
Gilad B (1998) Business blindspots. Irwin Professional Publishing, New York
Global Intelligence Alliance (2011) Market intelligence in global organization: survey findings in 2011. GIA White Paper
Global Intelligence Alliance (2013) The state of market intelligence in 2013. GIA White Paper
Juhari A, Stephens D (2006) Tracing the origins of competitive intelligence throughout history. Compet Intell Rev 3(4):61–82
Kahaner L (1997) Competitive intelligence: how to gather, analyze, and use information to move your business to the top. Simon and Schuster, New York
Office of the Director of National Intelligence (2014) Foresight and understanding from scientific exposition (FUSE). http://www.iarpa.gov/index.php/research-programs/fuse. Accessed 9 Aug 2015
Parker D (2000) Can government CI bolster regional competitiveness? Compet Intell Rev 11(4):57–64
Popper R (2008) How are foresight methods selected? Foresight 10(6):62–89
Provost F, Fawcett T (2013) Data science for business: what you need to know about data mining and data-analytic thinking. O’Reilly Media, Sebastopol
Salvador M, Rodriguez R, Casanova LFS (2013) Applying competitive intelligence: the case of thermoplastics elastomers. J Intell Stud Bus 3:47–53
Saritas O, Smith J (2008) The big picture- trends, drivers, wild cards and weak signals. In: Third international Seville seminar on future oriented technology analysis, Seville, Spain, 16–17 Oct 2008
SCIP (2014) FAQ. www.scip.org/re_pdfs/1395928684_pdf_FrequentlyAskedQuestions.pdf. Accessed 9 Aug 2015
Small H, Boyack KW, Klavans R (2014) Identifying emerging topics in science and technology. Res Policy 43(8):1450–1467
Smith JE, Saritas O (2011) Science and technology foresight baker’s dozen: a pocket primer of comparative and combined foresight methods. Foresight 13(2):79–96
Wolfe J (2005) Safer and guilt-free nano foods. Forbes Magazine 8/09/2005. www.forbes.com/2005/08/09/nanotechnology-kraft-hershey-cz_jw_0810soapbox_inl.html. Accessed 9 Aug 2015
Wright S, Calof JL (2006) The quest for competitive business and marketing intelligence: a country comparison of current practices. Eur J Mark 40(5/6):453–465
Xu K, Liao SS, Ki J, Song Y (2011) Mining comparative opinions from customer reviews for competitive intelligence. Decis Support Syst 50(4):743–754
Acknowledgement
The paper is a revised and developed version of a previously published paper by Calof J. et al. (2015) Foresight, Competitive Intelligence and Business Analytics—Tools for Making Industrial Programmes More Efficient. Foresight-Russia, vol. 9, no 1, pp. 68–81. DOI: 10.17323/1995-459X.2015.1.68.81 with permission from Foresight-Russia journal (http://foresight-journal.hse.ru/en/).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Calof, J., Richards, G., Smith, J. (2016). Foresight, Competitive Intelligence and Business Analytics for Developing and Running Better Programmes. In: Gokhberg, L., Meissner, D., Sokolov, A. (eds) Deploying Foresight for Policy and Strategy Makers. Science, Technology and Innovation Studies. Springer, Cham. https://doi.org/10.1007/978-3-319-25628-3_11
Download citation
DOI: https://doi.org/10.1007/978-3-319-25628-3_11
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-25626-9
Online ISBN: 978-3-319-25628-3
eBook Packages: Economics and FinanceEconomics and Finance (R0)