Exploring Performance Management in China's Family SMEs Based on Structural Equation Modelling and Back-Propagation Neural Network

Kaiyang Sun, Alvin Tan, Ying Wang, Rumintha Wickramasekera

OAI: oai:igi-global.com:301613 • DOI: 10.4018/JGIM.301613

Because of the growing competition and challenges within the global business environment, understanding performance management has become essential to small- and medium-sized enterprises (SMEs) as they have traditionally dominated the Chinese economy. In recognition of the limited studies with a specific focus on Chinese family SMEs, this study modelled and tested performance management by analysing four factors and eighteen indicators using structural equation modelling (SEM) and back-propagation neural network (BPNN). Secondary data from the Chinese Stock Market and Accounting Research (CSMAR) database were collected for this study. The results provide a better understanding of the proposed relationships between these variables through a review of their impact and correlations. This study suggested that four factors, including financial performance, external environment, internal environment, and enterprise development potential, will significantly impact performance management.

Global Information Technology Computer Science and Information Technology IT Research and Theory