A Study on the Effect of Quality Management Activities on Business Performance-Focusing on small and medium - sized manufacturing business -

Abstract

Background/Objectives: This study is designed to identify key elements of small businesses through enterprise-wide quality management and establish a direction of consulting to improve management performance

Methods/Statistical analysis: The subjects of the study were small and medium - sized manufacturing business and surveyed by survey method. From October to November 2017, 208 questionnaires were collected and examined, and 179 copies were analyzed excluding 29 copies not belonging to small and medium - sized manufacturing business. validity Analysis and Reliability analysis, regression analysis were performed using SPSS 22.0.

Findings: Factor analysis was performed on six independent variables and two dependent variables. The results were fit to factor analysis with KMO (.864 or higher) and Bartlett (.000).Factor load was removed from 34 factors among 61 factors and loaded with 27 factors. Reliability analysis showed that the reliability of Cronbach's Alpha was over .814.Correlation was significant in the p-value <.01 and correlated in the positive direction. In financial performance, leadership, strategy, customer, measurement / analysis / knowledge management were rejected as t value smaller than ±1.96 and significance level> .05. And, workforce and operations have t value greater than ± 1.96 and adopted as significance level <.05.For small and medium - sized manufacturing business, it can be seen that workforce and operations have a significant impact on profitability, sales and cost competitiveness. Non - financial performance strategy, measurement/analysis/knowledge management was rejected and leadership, customer, workforce, operations was adopted. The results show that leadership, customer, workforce, and operations affect corporate image, work efficiency and employee satisfaction.

Improvements/Applications: Future research will require a study of quality management methods and tools that can reflect the realities of small and medium-sized manufacturing industries.