eTransformation Framework for the Cognitive Systems
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33122
eTransformation Framework for the Cognitive Systems

Authors: Ana Hol

Abstract:

Digital systems are in the Cognitive wave of the eTransformations and are now extensively aimed at meeting the individuals’ demands, both those of customers requiring services and those of service providers. It is also apparent that successful future systems will not just simply open doors to the traditional owners/users to offer and receive services such as Uber, for example, does today, but will in the future require more customized and cognitively enabled infrastructures that will be responsive to the system user’s needs. To be able to identify what is required for such systems this research reviews the historical and the current effects of the eTransformation process by studying: 1. eTransitions of company websites and mobile applications, 2. Emergence of new shared economy business models such as Uber, and 3. New requirements for demand driven, cognitive systems capable of learning and just-in-time decision-making. Based on the analysis, this study proposes a Cognitive eTransformation Framework capable of guiding implementations of new responsive and user aware systems.

Keywords: System implementations, AI supported systems, cognitive systems, eTransformation.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1131339

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 957

References:


[1] Airtasker, 2016, “Terms”, 30. May, 2016: https://www.airtasker.com/terms/.
[2] R. Botsman, and R. Rogers, 2010. "What’s Mine Is Yours," The Rise of Collaborative Consumption, Collins) HarperCollins, London, United Kingdom.
[3] R.P. Bostrom and J.S. Heinen, 1977. “MIS problems and failures: A socio-technical perspective”, MIS Quarterly, Vol. 1, No. 3, pp. 17-32.
[4] M. Castells, 2011. “The Rise of the Network Society: The Information Age: Economy, Society, and Culture”. John Wiley & Sons.
[5] A. Davies, D. Fidler, and M. Gorbis, 2011 “Future Work Skills” Institute for the Future for University of Phoenix Research Institute 30 May, 2017. http://www.iftf.org/uploads/media/SR-1382A_UPRI_future_work_skills_sm.pdf accessed 2 February 2017.
[6] M. Fernando, A. Ginige, and A. Hol, 2016, “Impact of social computing on business outcomes”, Multi Conference on Computer Science and Information Systems, Portugal: Madeira.
[7] K. German, 2007, “Top 10 dot-com Flops”, 20 October, 2007, from http://www.cnet.com/4520-11136_1-6278387-1.html.
[8] A. Hartmans, 2016, “Uber just bought a startup to help launch the company's first artificial intelligence lab” 6 December, 2016, https://www.businessinsider.com/uber-buys-geometric-intelligence-launches-uber-ai-labs-2016-12#oCQIsukRTIme6dTg.99.
[9] A. Hol and A. Ginige, 2011, “A case study approach: eT guide - assisting the eTransformation journey” International Journal On Advances in ICT for Emerging Regions, vol 4, no 3.
[10] A. Hol, 2014, “Context Specific eTransformation Decision Making Framework” in ICIS 2014: International Conference on Information Systems, November, 13-14, 2014, Italy: Venice.
[11] I. Lee, 2016, “Encyclopaedia of E-Commerce Development: Implementation, and Management", Volume 1, IGI Global, Hershey, The Unitised States.
[12] P. Stone, R. Brooks, E. Brynjolfsson, R. Calo, O. Etzioni, G. Hager, J. Hirschberg, S. Kalyanakrishnan, E. Kamar, S. Kraus, K. Leyton-Brown, D. Parkes, W. Press, A. Saxenian, J. Shah, M. Tambe, and A. Teller, “Artificial Intelligence and Life in 2030." One Hundred Year Study on Artificial Intelligence: Report of the 2016 Study Panel, Stanford University, September 2016. http://ai100.stanford.edu/2016-report 2 March, 2017.The United States: Stanford.
[13] Uber, 2017. https://www.uber.com/en-AU/ accessed on 2nd March 2017
[14] A.H. Maslow, Theory of human motivation". Psychological Review. 1943, Vol: 50, Issue: 4, pp 370–96.
[15] Wayback Machine – Internet archives, Review of transport company websites ranging from 2000s to present, https://archive.org/web/ accessed on 2nd March 2017.
[16] W. Wahlster and A. Dengel, 2006, Web 3.0 Convergence of Web 2.0 and the semantic web. Technology Feature Paper, Deutsche Telekom Laboratories, 2006, Edition 2, pages 2-22.