TY - GEN
T1 - Innovative profile of 176 companies in the regions of Antioquia, Santander, Risaralda and Quindio Colombia
AU - Sanchez, Daniel I.
AU - Escobar, Juan C.
AU - Zartha, Jhon W.S.
AU - Ávalos, Andrés F.P.
AU - Mendez, Katia
AU - Gomez, Daniel H.
AU - Coy, David
AU - Alzate, Bibiana A.
AU - Medina, José G.H.
PY - 2013
Y1 - 2013
N2 - This paper shows the key factors that influence the development of innovation in Colombian companies of the departments of Antioquia, Quindío, Risaralda and Santander. Taking as input the innovative profile of the methodological tool, developed by the research group in 'Policy and Management of Technology' from The Pontificia Bolivariana University: 'Technology Management Methodology for Project' (MGT), applied to 176 companies. This approach was conducted through a series of tests of hypotheses focused on measuring variables like, 'diffusion of innovation', 'know-how', 'competitive technical intelligence', 'employees with technology training' and 'experimental development budget for R & D + I', among other. According to these approaches, the states of the innovation, key factors to the analyzed firms in each region, were validated. Statistical models, critical z and percentage distribution, were used to validate the hypotheses, by means of which it was possible to identify weak key factors and opportunities in the various departments analyzed.
AB - This paper shows the key factors that influence the development of innovation in Colombian companies of the departments of Antioquia, Quindío, Risaralda and Santander. Taking as input the innovative profile of the methodological tool, developed by the research group in 'Policy and Management of Technology' from The Pontificia Bolivariana University: 'Technology Management Methodology for Project' (MGT), applied to 176 companies. This approach was conducted through a series of tests of hypotheses focused on measuring variables like, 'diffusion of innovation', 'know-how', 'competitive technical intelligence', 'employees with technology training' and 'experimental development budget for R & D + I', among other. According to these approaches, the states of the innovation, key factors to the analyzed firms in each region, were validated. Statistical models, critical z and percentage distribution, were used to validate the hypotheses, by means of which it was possible to identify weak key factors and opportunities in the various departments analyzed.
UR - http://www.scopus.com/inward/record.url?scp=84890836270&partnerID=8YFLogxK
M3 - Ponencia publicada en las memorias del evento con ISBN
AN - SCOPUS:84890836270
SN - 9781890843274
T3 - 2013 Proceedings of PICMET 2013: Technology Management in the IT-Driven Services
SP - 745
EP - 751
BT - 2013 Proceedings of PICMET 2013
T2 - 2013 Portland International Conference on Management of Engineering and Technology, PICMET 2013
Y2 - 28 July 2013 through 1 August 2013
ER -