THE KNOWLEDGE SOCIETY AT CROSSROADS: THE ROAD MAP AND INCUBATING ROLE OF THE COMPETITIVE INTELLIGENCE, DIGITALISATION AND NEUROSCIENCES
AbstractThe today human being is part of the technological and scientific development dominated by information as a both raw material and base of knowledge.The easy and open accesses to information thrust forward the frontiers of development and communication, enlarge the development's paths and generate amazing changes, faster than ever happened. The way that data bases increase its volume becomes the most actual and complex problem.The ability to extract and process the knowledge and the speed of its processing represent unknown and provocative challenges for business profit and the intelligent society success. Their extraction from the informational noise and the ability to react and rapidly communicate are also important to be accurately customized and harmonised with the social elements.This paper demonstrates the usefulness of neuroscience, neuro-technologies and cognitive computing in finding innovative and customized solutions for solving complex problems in business.The conclusion of our study is that, in order to have an advanced and competitive European Union, it is absolutely necessary to develop innovative solutions for Competitive Intelligence that would include the fundamental elements of neuro-technologies and advanced Artificial Intelligence as Cognitive Business profitable keys.
Cacioppo, J.T. & Petty, R.E. (1985). Physiological responses and advertising effects: is the cup half full or half empty?. Psychol. Market. 2.
DeAngelis, S., (2015), Making sense of cognitive computing. [online] Available: http://insights.wired.com/profiles/blogs/making-sense-of-cognitive-computing#axzz4gWiV0RMQ.
World Bank, (2017), GovData 360 – GCI 4.0: Pillar 3: ICT adoption. [online]. Available: https://govdata360.worldbank.org/indicators/h432dbf3b?country=BRA&indicator=41526&countries
Lee, N., Broderick, A.J. & Chamberlain L. (2007). What is ‘neuromarketing’? A discussion and agenda for future research. International Journal of Psychophysiology 63.
Neurotech Analytics, (2022), Neurotech Companies Report. [online] Available: https://www.neurotech.com/charts.
Petty, R.E. & Cacioppo, J.T. (1983). The role of bodily responses in attitude measurement and change. In: Cacioppo, J.T., Petty, R.E. (Eds.), Social Psychophysiology: A Sourcebook. Guilford Press, New York.
Pop, N.A., Dan-Cristian Dabija, D.C. & Iorga A.M., (2014). Responsabilitatea etică a companiilor de neuromarketing în valorificarea cercetărilor de piaţă – O abordare exploratorie la nivel global, Amfiteatru Economic, 35.
Rossiter, J.R., Silberstein, R.B., Harris, P.G. & Nield, G.A. (2001). Brain-imaging detection of visual scene encoding in long-term memory for TV commercials. J. Advert. Res. 41.
Tversky, A. & Kahneman, D., (1974). Judgment under Uncertainty: Heuristics and Biases Science, New Series, Vol. 185, No. 4157., pp. 1124-1131.
Waltz, E. (2003). Knowledge Management in the Intelligence Enterprise, Boston: Artech House Information Warfare Library.
World Economic Forum – The Global Competitiveness Report 2019. [online]. Available: http://www3.weforum.org/docs/WEF_TheGlobalCompetitivenessReport2019.pdf
Young, C., (2002). Brain waves, picture sorts®, and branding moments. J. Advert. Res. 42
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