Eliciting weights of significance of criteria for a monitoring model of performance of SMEs for successful insolvency administrator's intervention

2Citations
Citations of this article
52Readers
Mendeley users who have this article in their library.

Abstract

Small and medium-sized enterprises (SMEs) are accounted for as a major part of the economy of the EU in terms of part of the population employed, turnover, value-added, etc. Causes of insolvency of SMEs can be different; they are categorized in the paper. A considerable shift from resolving cases of bankruptcy with the sole aim to satisfy creditors' rights to augmenting and enhancing liquidation and reorganization procedures evolved interest of the authors in creating efficient bankruptcy prediction models and, in particular, methodologies for evaluation and monitoring of the performance of SMEs. In the paper, we reviewed several initiatives and instruments created by the EU for supporting SMEs. The paper laid a foundation for creating a more comprehensive methodology for evaluation of the state of a firm undergoing the process of reorganization. A hierarchy structure of criteria for the evaluation of SMEs was used in the paper; methodologies for eliciting weights of importance of criteria from experts and gauging the level of concordance of opinions of experts were applied. Resulting weights of criteria of performance of an insolvent SME were obtained; the importance of the managerial category of criteria was revealed. Prominent features of hierarchy structures and methodology of using the structure for calculating ultimate weights were described and demonstrated. Gauging concordance of opinions of experts revealed a satisfactory level of concordance of opinions of experts; this allowed to prepare the ultimate weights of criteria for multiple criteria evaluation of SMEs for further research.

References Powered by Scopus

On the theory of scales of measurement

2949Citations
N/AReaders
Get full text

Small and medium enterprises across the globe

559Citations
N/AReaders
Get full text

How to analyze Likert and other rating scale data

550Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Predicting the insolvency of smes using technological feasibility assessment information and data mining techniques

10Citations
N/AReaders
Get full text

The State Of International Technology Transfer In The Northern Europe Region: Comparative Analysis By Modern Multiple Criteria Methods

1Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Podviezko, A., Kurschus, R., & Lapinskiene, G. (2019). Eliciting weights of significance of criteria for a monitoring model of performance of SMEs for successful insolvency administrator’s intervention. Sustainability (Switzerland), 11(20). https://doi.org/10.3390/su11205667

Readers over time

‘19‘20‘21‘22‘23‘24‘2505101520

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 11

58%

Professor / Associate Prof. 4

21%

Lecturer / Post doc 3

16%

Researcher 1

5%

Readers' Discipline

Tooltip

Engineering 5

31%

Business, Management and Accounting 5

31%

Economics, Econometrics and Finance 4

25%

Social Sciences 2

13%

Save time finding and organizing research with Mendeley

Sign up for free
0