ตัวแบบการจัดการเครือข่ายเพื่อความอยู่ดีมีสุขของผู้สูงอายุในภาคใต้

Abstract

The study on Model of Network Management for Elderly Well-Being, Southern Thailand aims to 1) identify factors influencing network performance in elderly services, southern Thailand; and 2) develop a structural equation model of network management in elderly services, southern Thailand. Concerning this study, unit of analysis at an organization level was employed. The research design was quantitative research. The sample consisted of 556 elderly service providers selected by multi-stage sampling. Data were collected using a questionnaire. SPSS Version 16 and LISREL Version 8.8 were also used to analyse data. The variables in model consisted of 7 latent variables: antecedents, administration, governance, autonomy, mutuality, trust, and network performance; with 26 observed variables. The major findings were as follow: The structural equation model of network management in elderly services, southern Thailand had a good fit with the empirical data (x*=767.53, df=279, RMSEA=0.064, CFI=0.98, SRMR=0.058). Network performance in elderly services had comprehensive five-dimensional concepts: goal achievement, social capital, share meaning, network interaction, and power distribution. Trust had the highest positive direct effects on network performance, followed by mutuality, governance, and administration with the standardized path coefficients of 0.41 0.26 0.19 and 0.18 respectively. Autonomy had negative direct effects on network performance with effect sizes -0.08. While antecedents had indirect effect on network performance with effect sizes 0.29, which trust as a mediator. Besides, the administration, trust, and autonomy also had positive indirect effect on network performance with effect sizes 0.53 0.22 and 0.09 respectively. The study on Model of Network Management for Elderly Well-Being, Southern Thailand aims to 1) identify factors influencing network performance in elderly services, southern Thailand; and 2) develop a structural equation model of network management in elderly services, southern Thailand. Concerning this study, unit of analysis at an organization level was employed. The research design was quantitative research. The sample consisted of 556 elderly service providers selected by multi-stage sampling. Data were collected using a questionnaire. SPSS Version 16 and LISREL Version 8.8 were also used to analyse data. The variables in model consisted of 7 latent variables: antecedents, administration, governance, autonomy, mutuality, trust, and network performance; with 26 observed variables. The major findings were as follow: The structural equation model of network management in elderly services, southern Thailand had a good fit with the empirical data (x*=767.53, df=279, RMSEA=0.064, CFI=0.98, SRMR=0.058). Network performance in elderly services had comprehensive five-dimensional concepts: goal achievement, social capital, share meaning, network interaction, and power distribution. Trust had the highest positive direct effects on network performance, followed by mutuality, governance, and administration with the standardized path coefficients of 0.41 0.26 0.19 and 0.18 respectively. Autonomy had negative direct effects on network performance with effect sizes -0.08. While antecedents had indirect effect on network performance with effect sizes 0.29, which trust as a mediator. Besides, the administration, trust, and autonomy also had positive indirect effect on network performance with effect sizes 0.53 0.22 and 0.09 respectively.