DIGITAL ECOSYSTEMS: NATURAL LIKE TECHNOLOGIES IN THE CORPORATE ENVIRONMENT
Keywords:
digital ecosystems, digital economy, collaborative environment, nature-like technologies.Abstract
The article analyzes the logic of the emergence of the architecture of digital ecosystems as a naturelike technology that allows to solve the key problem of designing and maintaining efficient computing environments by automating the search for new algorithms. The continuity of the main elements and principles of the existence of ecosystems and their digital analogues is considered. The paradigm shift of business functioning from linear value chains to digital ecosystems is analyzed.
References
Chang E. and West M. "Digital Ecosystem - A next generation of the collaborative environment," presented at iiWAS 2006, Yogyakarta, 2006.
Miller S. Aspect-oriented programming takes aim at software complexity. IEEE Computer, 34:18–21, 2001.
Sutter H. The free lunch is over: A fundamental turn toward concurrency in software. Dr. Dobb’s Journal, 2005.
Markoff J. Faster chips are leaving programmers in their dust. Technical report, New York Times, 2007. Available from: http://www.nytimes.com/2007/12/17/technology/17chi p.html.
Lyytinen K.and Y. Yoo. The next wave of nomadic computing: A research agenda for information systems research. Sprouts: Working Papers on Information Systems, 1:1–20, 2001.
McIlraith S., Son C., and Zeng H. Semantic web services. IEEE Intelligent Systems, 16:46–53, 2001
Narayanan S. and McIlraith S. Simulation, verification and automated composition of web services. In international conference on World Wide Web, pages 77–-88. ACM Press, 2002.
Milanovic N. and Malek M. Current solutions for web service composition. IEEE Internet Computing, 8:51–59, 2004.
Curbera F., Duftler M., Khalaf R., Nagy W., Mukhi N. and Weerawarana S. Unraveling the web services web: An introduction to SOAP, WSDL, and UDDI. IEEE Internet Computing, 6:86–93, 2002.
Chang, E., Dillon, T.S. & Hussain, F., 2005, ‘Trust and reputation for service oriented environments- Technologies for building business intelligence and consumer confidence’, John Wiley & Sons, ISBN: 0-470- 01547-0
Tomoya, K. & Shigeki, Y., 2003, 'Application of P2P (peer-to-peer) technology to marketing', Proceedings of the 2003 International Conference on Cyberworlds (CW’03), pp. 1-9.
Roure, D. D., Baker, M. A., Jennings, N. R. & Shadbolt, N. R., 2003, 'The evolution of the grid', in Berman, F., Hey, A. & Fox, G. (eds.), 'Grid Computing - Making the Global Infrastructure a Reality', John Wiley & Sons, Ltd.
Weisman, C. 'The essential guide to RF and wireless', 2nd ed, Prentice Hall PTR, 2002.
Chakraborty T. and Datta S. K. " Application of swarm intelligence in Internet of Things", 2017 IEEE International Symposium on Consumer Electronics (ISCE), Kuala Lumpur, 2017, PP.67-68, doi: 10.1109/ISCE.2017.8355550.
Saka M.P., Doğan E., Aydogdu Ibrahim “Analysis of Swarm Intelligence–Based Algorithms for Constrained Optimization”. Swarm Intelligence and Bio-Inspired Computation Theory and Applications, 2013, Pp 25-48
Iansiti M., Levien R. Strategy as Ecology. Harvard Business Review 82.3. March 2004// https://hbr.org/2004/03/strategy-asecology
Jacobides M. Designing Digital Ecosystems. In Jacobides M. et.al. Platforms and Ecosystems:
Enabling the Digital Economy, Briefing Paper, World Economic Forum.2019 // http://www3.weforum.org/docs/WEF_Digital_Platfor ms_and_Ecosystems_2019.pdf
Gawer, A. 2014. Bridging Differing Perspectives on Technological Platforms: Toward an integrative framework, Research policy, 43(7): 12391249.
Bennett M. What is a digital ecosystem, and how can your business benefit from one?// https://www.telegraph.co.uk/business/ready-andenabled/what-is-adigital-ecosystem/
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.
CC BY-ND
A work licensed in this way allows the following:
1. The freedom to use and perform the work: The licensee must be allowed to make any use, private or public, of the work.
2. The freedom to study the work and apply the information: The licensee must be allowed to examine the work and to use the knowledge gained from the work in any way. The license may not, for example, restrict "reverse engineering."
2. The freedom to redistribute copies: Copies may be sold, swapped or given away for free, in the same form as the original.