ACCOUNTING AND ANALYTICAL PROVISION OF MANAGEMENT IN THE TIMES OF INFORMATION THINKING
The article is devoted to solving topical issues concerning modern trends of development of new type of thinking as an ideology of continuous changes due to technological reorientation of society, economy and accounting. The substantive content of the essence of informational thinking has been worked out, which made it possible to substantiate its features, which caused by the generation and dissemination of technological and intellectual innovations in the processes of processing, transmission and storage of information. The key parameters and limitations of the development of informational thinking were characterized, which allowed to structure the factors of modification of information processes. The modification of the principles are made, which should promote the innovative direction of the transformation of thinking as a new ideology of information processing without the use of templates and the rejection of traditional statements. The communication component of the project of change is substantiated as a priority parameter for the formation of a plan for further actions that defining a new logic of changes and transformations for business. The conceptual model of the development of project of changes are formed, in which takes into account the parameters of innovation in the formation of knowledge and the expansion of professional competencies, which in the integrated set give a universal formula for business development.
AI in the UK: ready, willing and able? URL: https://publications.parliament.uk/pa/ld201719/ldselect/ldai/100/100.pdf.
Appelo, J. (2011). Management 3.0: Leading Agile Developers, Developing Agile Leaders / Addison-Wesley Professional; 1st Edition, 464 p.
Artificial Intelligence Innovation Report (2018). URL: https://www2.deloitte.com/content/dam/Deloitte/de/Documents/Innovation/Artificial-Intelligence-Innovation-Report-2018-Deloitte.pdf.
Berger, J. (2016). Invisible Influence: The Hidden Forces that Shape Behavior / Simon & Schuster; 1st Edition, 272 p.
Bolman, L. G. & Deal, T. E. (2003). Reframing Organizations: Artistry, Choice, and Leadership / Jossey-Bass; 3rd Edition, 512 p.
Curzon, P. & Mcowan, P. W. (2017). Power Of Computational Thinking, The: Games, Magic And Puzzles To Help You Become A Computational Thinker / WSPC (Europe), 232 p.
Dyer, J., Gregersen, H. & Christensen, C. M. (2011). The Innovator's DNA: Mastering the Five Skills of Disruptive Innovators / Harvard Business Review Press; 1st Edition, 304 p.
Jean-G. G. (2018). Artificial Intelligence. The promises and the threats. July-September URL: http://unesdoc.unesco.org/images/0026/002652/265211e.pdf.
Johnson, B. (2014). Polarity Management: Identifying and Managing Unsolvable Problems / H R D Press, 288 p.
Kahneman, D. (2013). Thinking, Fast and Slow / Farrar, Straus and Giroux; 1st Edition, 499 p.
Kiernan, M. J. (1997). Get Innovative or Get Dead!: Building Competitive Companies for the 21st Century / Random House Business Books, 244 p.
O'Connor, J. (1997). The Art of Systems Thinking: Essential Skills for Creativity and Problem Solving / Thorsons, 288 p.
The future of the world: a forecast up to the year 2099. Retrieved from: http://earth-chronicles.com/science/the-future-of-the-world-a-forecast-up-to-theyear-2099.html.
The rise of artificial intelligence: future outlook and emerging risks. Allianz global corporate & specialty. March 2018. URL: https://www.agcs.allianz.com/assets/Insights/Artificial%20Intelligence/Artificial_Intelligence_Outlook_and_Risks.pdf.
AI Predictions 8 insights to shape business strategy. URL: https://www.pwc.es/es/home/assets/ai-predictions-2018-report.pdf.