AU-GSB e-JOURNAL
A Causal Model of Factors Influencing Hospital Decisions to Use Wastewater Treatment Pond Maintenance Services in The Bangkok Metropolitan Area
Par Khemanit Ruaybaramee et Pichaya Uthairat.
Contenu en anglais
Résumé
Research Objective: This article aimed to examine (1) the levels of service quality, 7Ps marketing mix, trust, and decision-making regarding wastewater treatment pond maintenance services among hospitals in the Bangkok Metropolitan Area and its surrounding area, (2) to develop and validate a causal model of decision-making for wastewater treatment pond maintenance services, and (3) to examine the influence of service quality, 7Ps marketing mix, and trust on hospital decision-making to use wastewater treatment pond maintenance services. Research design, data and methodology: The sample consisted of 300 personnel who were responsible for or involved in decision-making regarding wastewater treatment pond maintenance services in hospitals in Bangkok and surrounding areas. They were selected by purposive sampling. The instrument for collecting data was a structured questionnaire. Data were analyzed using descriptive statistics and structural equation modeling. Results: 1) The Respondents rated service quality, 7Ps marketing mix, trust, and decision-making at a high level overall. The proposed causal model demonstrated a good fit with the empirical data, showing that the measurement and structural models were proper and consistent with the theoretical framework. 2) The model proved acceptable; goodness-of-fit indices (χ²/df = 2.221, CFI = 0.973, GFI = 0.935, RMSEA = 0.064, RMR = 0.015), and the independent variables explained 72% of the variance in trust and 84% of the variance in decision-making. 3) The 7Ps marketing mix had the strongest total effect on decision-making, followed by trust and service quality. Trust significantly mediated the relationship between service quality, 7Ps marketing mix, and decision-making, confirming its crucial role as a key intervening variable in hospital service selection decisions.



