Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
The environmental and social aspects are becoming increasingly important for enterprises. A very important matter is also achieving the high level of innovation for gaining competitive advantage. The way to reconcile these aspirations seems to be a development path called sustainable innovation. The aim of the article is to identify the concept of sustainable innovation in the context of modern enterprises and to propose the method of supporting it using an algorithmic approach.
Czasopismo
Rocznik
Tom
Strony
32--40
Opis fizyczny
Bibliogr. 15 poz., rys.
Twórcy
autor
- University of Economics in Katowice 1 Maja street 50, Katowice, 40-287, Poland
Bibliografia
- Aagaard A., Lindgren P. (2015), The Opportunities and Challenges of Persuasive Technology in Creating Sustainable Innovation, “Wireless Personal Communications” No. 81, p. 1511-1529
- Bekmezci M. (2015), Companies’ profitable way of fulfilling duties towards humanity and environment by sustainable innovation, “Procedia-Social and Behavioral Sciences” No. 181, p. 228-240
- Berthold M. (2012), Towards Bisociative Knowledge Discovery, in: G.J. Williams, S.J. Simoff (eds), Data Mining, Lecture Notes in Computer Science No. 3755, Berlin-Heidelberg
- Boschetti A., Massaron L. (2017), Python. Podstawy nauki o danych, Gliwice
- Jacomy M. et al. (2012), ForceAtlas2, A Continuous Graph Layout Algorithm for Handy Network Visualization, medialab.sciences-po.fr/publications/Jacomy_Heymann_Venturini_ForceAtlas2.pdf [02-10-2017]
- Jastrzębska E. (2017), The responsible consumer as an answer to new sustainable development challenges, “Ekonomia i Środowisko” No. 60, p. 198-206
- Ketata I., Sofka W., Grimpe Ch. (2014), The role of internal capabilities and firm’s environment for sustainable innovation: evidence for Germany, “R&D Management” No. 45, p. 60-70
- Kötter T., Berthold M. (2012), From Information Networks to Bisociative Information Networks, in: M. Berthold (ed.), Bisociative Knowledge Discovery, Lecture Notes in Computer Science No. 7250, p. 33-50
- Lee H., Sohn I. (2016), Big Data w przemyśle, Warszawa
- Maxwell I. (2009), Managing Sustainable Innovation. The Driver for Global Growth, New York
- Raymond B., Belbin L. (2006), Visualisation and Exploration of Scientific Data Using Graphs, in: G.J. Williams, S.J. Simoff (eds.) Data Mining, Lecture Notes in Computer Science No. 3755, Berlin-Heidelberg
- Schaltegger S., Wagner M. (2010), Sustainable Entrepreneurship and Sustainability Innovation: Categories and Interactions, “Business Strategy and the Environment” No. 20, p. 222-237
- Seidel S. et al. (2017), Design principles for sensemaking support systems in environmental sustainability transformations, “European Journal of Information Systems”, https://doi.org/10.1057/s41303-017-0039-0.
- Toivonen H., Gross O. (2015), Data mining and machine learning in computational creativity, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery No. 5, p. 265-275
- Wang Ch., Tao J. (2016), Graphs in Scientific Visualization: A Survey, “Computer Graphics Forum” No. 36, p. 263-287
Typ dokumentu
Bibliografia
Identyfikator YADDA
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