Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Konstantinos Trantopoulos"'
Publikováno v:
Scopus-Elsevier
Prior information systems research highlights the vital role of information technology (IT) for innovation in firms. At the same time, innovation literature has shown that accessing and integrating knowledge from sources that reside outside the firm,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::332d8d99b53cc611806c5fbb412b0fa1
https://doi.org/10.25300/misq/2017/41.1.15
https://doi.org/10.25300/misq/2017/41.1.15
Autor:
Konstantinos Trantopoulos, Shiko M. Ben-Menahem, Martin Wörter, Martin W. Wallin, Georg von Krogh
Publikováno v:
None
While modern information and communication technology (ICT) has become a core element of globally dispersed business activities, there is still a dearth of theorizing and empirical evidence of its ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9370fc4772d92e3ce87582982190559
https://research.vu.nl/en/publications/1e2fc1fd-abaf-428f-95ee-52e45a3ad134
https://research.vu.nl/en/publications/1e2fc1fd-abaf-428f-95ee-52e45a3ad134
Publikováno v:
Environmental sciencetechnology. 45(15)
Toward Sustainability of Complex Urban Systems through Techno-Social Reality Mining Konstantinos Trantopoulos,* Markus Schl€apfer,* and Dirk Helbing* ETH Risk Center, ETH Zurich, 8092 Zurich, Switzerland Senseable City Laboratory, MIT, Cambridge, M
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::deca0d4779ae8728a2254c8f13c68168
https://pubmed.ncbi.nlm.nih.gov/21744879
https://pubmed.ncbi.nlm.nih.gov/21744879
We study the splitting of regular square lattices subject to stochastic intermittent flows. Various flow patterns are produced by different groupings of the nodes, based on their random alternation between two possible states. The resulting flows on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cc5d92dbc94b2486c54338fc81cce96
http://arxiv.org/abs/1001.2251
http://arxiv.org/abs/1001.2251
Publikováno v:
Journal of Statistical Mechanics: Theory and Experiment. 2014:P02019
Dynamical processes on complex networks such as information exchange, innovation diffusion, cascades in financial networks or epidemic spreading are highly affected by their underlying topologies as characterized by, for instance, degree–degree cor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98d2bbef7b2e8c05c06defb61eeadbac
https://doi.org/10.1088/1742-5468/2014/02/p02019
https://doi.org/10.1088/1742-5468/2014/02/p02019