Research Group Management of MSMEs (GIGMP)

  • Ecuador

Organization profile

Organization profile

Within the lines of research approved by UPS, this group will develop
work on the following lines:
- Popular economy, popular finance and Mypes.
- Entrepreneurship and innovation.
The teachers who make up the research group have and are in doctoral training.
to strengthen these lines of research that conform to the National Development Plan.
The research projects proposed by the research group are aligned to
the objectives, policies and guidelines of the National Plan for Good Living 2013-2017:
Guarantee decent work in all its forms.
Strategic policies and guidelines: 9.1. Promote economic activities that allow the generation and preservation of decent jobs, and contribute to the attainment of full employment prioritizing historically excluded groups.
Promote the transformation of the productive matrix.
Strategic policies and guidelines:
10.1 . Diversify and generate greater added value in national production.
Strategic policies and guidelines:
10.5. Strengthen the popular and solidarity economy -EPS-, and the micro, small and medium enterprises -Mipymes- in the productive structure.
Promote diversified and sustainable business processes within the framework of productive transformation.
Promote public investment and public procurement as strategic elements of the State in the transformation of the matrix.
productive
Ensure the sovereignty and efficiency of strategic sectors for industrial and technological transformation.
Democratize the provision of public telecommunications services and information and communication technologies (ICTs), including broadcasting, television and radio spectrum, and deepen their universal use and access.

Fingerprint Dive into the research topics where Research Group Management of MSMEs (GIGMP) is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.

class schedule Social Sciences
university administration Social Sciences
Neural networks Engineering & Materials Science
Data mining Engineering & Materials Science
mathematical modeling Social Sciences
Recommender systems Engineering & Materials Science
Ecuador Social Sciences
Supply chains Engineering & Materials Science

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Projects 2016 2016

Research Output 2016 2018

  • 4 Citations
  • 2 h-Index
  • 4 Paper
  • 2 Article
2 Citations (Scopus)
Recommender Systems
Recommender systems
Higher Education
Data mining
Data Mining
class schedule
university administration
mathematical modeling
career
teacher
Profitability
Neural networks
Costs
Sales
Competitive intelligence