Next Article in Journal
A Glucose-Dependent Pharmacokinetic/ Pharmacodynamic Model of ACE Inhibition in Kidney Cells
Next Article in Special Issue
Air-Core-Liquid-Ring (ACLR) Atomization: Influences of Gas Pressure and Atomizer Scale Up on Atomization Efficiency
Previous Article in Journal
High Nitrate and Phosphate Ions Reduction in Modified Low Salinity Fresh Water through Microalgae Cultivation
Previous Article in Special Issue
Response Surface Method in the Optimization of a Rotary Pan-Equipped process for Increased Efficiency of Slow-Release Coated Urea
Article Menu
Issue 3 (March) cover image

Export Article

Open AccessArticle
Processes 2019, 7(3), 130; https://doi.org/10.3390/pr7030130

Determination of KOSGEB Support Models for Small- and Medium-Scale Enterprises by Means of Data Envelopment Analysis and Multi-Criteria Decision Making Methods

1,2
and
3,*
1
Small and Medium Enterprises Development Organization of Turkey, Ankara 06000, Turkey
2
Department of Business Administration, Kırıkkale University, Kırıkkale 71450, Turkey
3
Department of Industrial Engineering, Kırıkkale University, Kırıkkale 71450, Turkey
*
Author to whom correspondence should be addressed.
Received: 13 December 2018 / Revised: 12 February 2019 / Accepted: 18 February 2019 / Published: 2 March 2019
Full-Text   |   PDF [4147 KB, uploaded 2 March 2019]   |  

Abstract

Small- and Medium-Scale Enterprises (SMEs) act as catalysts in the general economy with regard to their added value. Support programs have been designed by the government through the Small and Medium Enterprises Development and Support Administration KOSGEB) and other institutions in order to further the general economic contributions of such enterprises. However, there is no method for using support models according to a productivity and effectiveness principle. This causes serious wastes of both resources and time. In this study, the problem of applying support models to improve the most critical problems of SMEs was discussed. As a place of application, 82 firms registered to the Konya Chamber of Industry were selected for the automotive supplier industry. Firstly, a productivity evaluation of companies was performed by a data envelopment analysis (DEA). Firms were grouped into A, B1, B2, C1, and C2 according to their activity scores. Using an Analytical Hierarchy Process (AHP), the order of KOSGEB support was found using the Technique for Order Preference by Similarity to Ideal Solution method (TOPSIS). Thus, firms will be able to focus on their most pressing problems, as well as enabling the efficient use of resources A: Small- and Medium-Scale Enterprises Improvement and Support Program (KOBIGEL) support model, B1: Logistic support model, B2: KOBIGEL support model, C1: Test analysis and calibration support model, and C2: Test analysis and calibration support model. This means that these support models are required in the first place for group companies.A KOBIGEL support model is the provincial rank for A group companies. View Full-Text
Keywords: data envelopment analysis; SME; KOSGEB; productivity; AHP; TOPSIS data envelopment analysis; SME; KOSGEB; productivity; AHP; TOPSIS
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Sevinç, A.; Eren, T. Determination of KOSGEB Support Models for Small- and Medium-Scale Enterprises by Means of Data Envelopment Analysis and Multi-Criteria Decision Making Methods. Processes 2019, 7, 130.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Processes EISSN 2227-9717 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top