Unknown

Dataset Information

Assessing the impact of the COVID-19 pandemic on small and medium-sized enterprises performance.


ABSTRACT: This study has several purposes. First, identify indicators contributing to the performance of small and medium-sized enterprises (SMEs) that could be affected by the COVID-19. Second, formulate the framework to measure the level of vulnerability of SMEs. Third, assign the SMEs into several clusters. Data used in this research were collected through web-based closed questionnaires and short telephone interviews. This study used Content Validity Analysis, Analytical Hierarchy Process, Multi-Attribute Value Theory approach, K-means Clustering Analysis, and Discriminant Analysis for data processing. The data processing results indicated that the 44 valid indicators belonging to ten dimensions could be used to measure the level of vulnerability of SMEs whose performance was affected by

SUBMITTER: Susanty A 

PROVIDER: S-EPMC9595116 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature