Diversity regulation for industry 4.0, artificial intelligence and smart cities

Post-modern society sets the complex multi-facet intentional context of the search for harmonic combination between efficiency and humanity. The sociological and economic analysis of the efficiency is built on the basis of the human beings’ competences and motivation. The information and communication technologies (ICT) emphasize the efficiency of data management and of regulation of the information flows. The economic and management are concerning the regulation of the efficiency of business models and of «network» or «chain»’ schemes of the value creation. The diversity at the «end» of this chain, from the demand for customised products and services, requires the diversity at the «beginning» of this businessmodel, from the inventors and innovators until the controlling system inside the enterprise and outside it with the concerns of different stakeholders. The convergence of technologies and of human being lives should be subject for regulation to assure the sustainable development

Keywords: regulation mechanisms, diversity, knowledge transfer, governance, innovative infrastructure, artificial intelligence, post-modernity, information society

References

1. A. Wittenberg. Diversity — польза для всех//DE Magazin Deutschland, 2013, no. 3, pp. 45 (in Russian).

2. W. B. Arthur (1989). Competing technologies, increasing returns, and lock-in by historical events//The Economic Journal, 1989, vol. 99: pp. 116-131.

3. М. Ю. Абабкова. Этические конфликты в маркетинговой и рекламной деятельности//Конфликтология. Т. 1. 2014. С. 136-148.

4. B. J. Pine, J. H. Gilmore (1999). The Experience Economy: Work is Theatre & Every Business a Stage. Harvard Business Press, 1999.

5. M. U. Ababkova, N. N. Pokrovskaia. Communication policies and intellectual property transfer: efficiency and security in the post-modern information society//International Conference «Security issues in the modern societies» (Armenia, Tsahkadzor, 29 September – 2 October 2016). Yerevan: Yerevan State University, 2016. Рр. 93-99.

6. B. Sarwar, G. Karypis, J. Konstan, J. Riedl. Item-Based Collaborative Filtering Recommendation Algorithms//University of Minnesota, Minneapolis, WWW10, Hong Kong, 2001, May 1-5. P. 285-295.

7. D. V. Golohvastov, N. N. Pokrovskaia, S. O. Snisarenko. Institutional Confidence and Economic Intelligence for the Performance at Macro and Micro Networks//Proceedings of The 4th International Conference on Management, Leadership and Governance ICMLG 2016 Host. Reading, UK: Academic Conferences and Publishing International Limited, 2016. – 528 p.

8. M. Granovetter/ Economic Action and Social Structure: The Problem of Embeddedness//The American Journal of Sociology, 1985, 91 (3), 481-510.

9. J. Zhang, X. R. Luo/ Dared to Care: Organizational Vulnerability, Institutional Logics, and MNCs' Social Responsiveness in Emerging Markets//Organization Science orsc. 1120.0813, March 21, 2013.

10. F. W. Taylor. Principles of Scientific Management. Harper & Row, 1911.

11. A. Greenfield. Everyware: The Dawning Age of Ubiquitous Computing. Berkeley, CA, USA: New Riders, 2006.

12. M. Fox, M. Kemp. Interactive Architecture. Princeton Architectural Press, 2009. 256 p.

13. D. Bray. Wetware: A Computer in Every Living Cell. New Haven, London: Yale University Press, 2009. 267 p.

14. K. Kastenhofer. Converging epistemic cultures? A discussion drawing on empirical findings//Innovation: The European Journal of Social Science Research. 20 (4). 2007. P. 359-373.

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