Total Quality Management Development (TQM) of Service Division, Infantry Center, Thanarat Barracks

Abstract

                This research aimed to study: (1) to study level total quality management (TQM) of infantry center service division, Thanarat barracks (2) to study of factors for organizational development 7 factors (7s) of infantry center service division, Thanarat barracks and (3) to study of factors for organizational development 7 factors (7s) there is a relationship with the total quality management (TQM) development of infantry center service division, Thanarat barracks. The sample group was selected from the personnel of infantry center service division. The sample comprised of 154 people. Data were treated and analyzed by using descriptive and Inferential Statistics methods, which were percentage, mean, standard deviation and Multiple Regression Analysis.
                Findings:
                1. Total quality management development of infantry center service division, Thanarat barracks, when considered in each aspect it was found that was at high level in all aspect, are focus on the internal and external personnel, organization management, performance measurement, continuous quality improvement, and personnel participation respectively.
                2. Factors of organizational development 7 factors (7s) of infantry center service division, Thanarat barracks as a whole was at high level. When considered in each aspect it was found that was at high level in all aspect, are strategy, skill, format, system, structure, shared values, and personnel respectively.
                3. Factors for organizational development 7 factors (7s), includes format and shared values there is a relationship with the total quality management development have statistically significant at the level of 0.001, skill had relationships with statistically significant at the level of 0.05, structure and system have causal relationship statistically significant at the level of 0.05. The equation of the multiple regression analysis is
                 Ŷ = 0.296* + 0.070x₁+ 0.115 x₂ *+ 0.135 x₃ *+ 0.165 x₅ **+ 0.192 x₆ **+ 0.185 x₇ **

Article history: Received 13 May 2020
                            Revised 28 June 2020
                            Accepted 30 June 2020
                            SIMILARITY INDEX = 1.15 %