Factores relevantes para optimizar los servicios públicos de apoyo a los emprendedores y la tasa de supervivencia de las empresas

  1. Manuel Chaves Maza 1
  2. Eugenio M. Frediani Martel 1
  3. José Antonio Ordaz Sanz 1
  1. 1 Universidad Pablo de Olavide

    Universidad Pablo de Olavide

    Sevilla, España

    ROR https://ror.org/02z749649

Innovar: revista de ciencias administrativas y sociales

ISSN: 0121-5051

Year of publication: 2018

Volume: 28

Issue: 69

Pages: 9-24

Type: Article

DOI: 10.15446/INNOVAR.V28N69.71693 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

More publications in: Innovar: revista de ciencias administrativas y sociales


Cited by

  • Scopus Cited by: 3 (24-05-2023)
  • Dialnet Metrics Cited by: 4 (05-06-2023)
  • Dimensions Cited by: 1 (13-04-2023)

SCImago Journal Rank

  • Year 2018
  • SJR Journal Impact: 0.159
  • Best Quartile: Q3
  • Area: Sociology and Political Science Quartile: Q3 Rank in area: 802/1358
  • Area: Accounting Quartile: Q4 Rank in area: 131/166
  • Area: Marketing Quartile: Q4 Rank in area: 146/213
  • Area: Strategy and Management Quartile: Q4 Rank in area: 369/537
  • Area: Public Administration Quartile: Q4 Rank in area: 113/178


  • Social Sciences: B

Scopus CiteScore

  • Year 2018
  • CiteScore of the Journal : 0.5
  • Area: Sociology and Political Science Percentile: 36
  • Area: Public Administration Percentile: 20
  • Area: Marketing Percentile: 20
  • Area: Accounting Percentile: 18
  • Area: Strategy and Management Percentile: 17


(Data updated as of 13-04-2023)
  • Total citations: 1
  • Recent citations: 1


This article deals with issues related to the optimization of support services for entrepreneurs as an alternative to face crisis in developed economies. This work expects to represent an initial step to obtain a useful guidance methodology for any organization supporting entrepreneurship. For this purpose, a literature review on the factors that affect entrepreneurs' survival is presented, as well as the corresponding methodological approaches used to model this phenomenon by means of quantitative analysis techniques. Using data from 2013, we selected a sample of 1,618 entrepreneurs from the European region with the worst unemployment rates in the current decade: Andalusia, in the south of Spain. Our results could be extrapolated to regions with analogous problems. This study verifies how, through multivariate analysis, the factors that influence survival can be better known, allowing to strengthening support services. It is concluded that certain variables related to the type of support service are particularly relevant, such as the "total number of support services in the first months", "passing through a previous pre-incubation process", "being present in any incentive request or employment plan", and others classified as "legal form" or "geographical location".