Krommuang, Apiwat
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Item type:Publication, How organizational characteristics and employee involvement affect quality management practices in the Thai food industry(2014-01-01); Quality management practices can help an organization thrive in an increasingly competitive global market. Based on a comprehensive literature review, this study identifies organizational characteristics that encourage employee involvement and improve quality management practices. The sample group was comprised of 271 people representing middle management in Thailand's food industry. The variables of employee involvement were intervening latent variables in the relationship. Structural Equation Modeling (SEM) was used to analyse the results which showed that fewer hierarchies of command and decentralized decision making power had a significantly positive affect on quality management practices in organizations. © 2014 Academic Journals Inc. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Structural equation modeling of supply chain management, employee involvement, and employee work performance in thailand's auto parts industry(2021-12-01); The objective of this research was to analyse the structural equation modelling (SEM) of supply chain management, employee involvement, and employee work performance in Thailand's auto parts industry. The sample group included 383 employees operating in the aforementioned industry using SEM processing by the AMOS program as the tool. From the research, the latent variable of supply chain management had a direct positive influence on the latency of employee involvement and employee work performance with statistical significance. Simultaneously, the latency of employee involvement had no direct positive influence on the latency of employee work performance. Therefore, the latency of supply chain management did not indirectly influence the latency of employee work performance through the latency of employee involvement. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Internet of Things (IoT) Application for Management in Automotive Parts Manufacturing(2022-01-01); Automotive parts manufacturing focuses on sustainable development manufacturing capabilities with future technology changes. Internet of Things (IoT) plays an important role in applying internet technology to machines and equipment in manufacturing processes for transformation towards Industry 4.0 as well as creating values added and higher competitive advantage for the sustainability of the industries. This research aims to study factors that influence decision-makers in selecting IoT applications for managing auto parts production and they consist of connectivity, telepresence, intelligence, security, and value including their fifteen sub-factors. In this research, The Fuzzy Analytic Network Process (FANP) is a Multiple Criteria Decision Making (MCDM) technique used to analyze, identify, and prioritize factors in selecting IoT applications for managing production processes. The questionnaire is designed based on the FANP technique to survey the importance of weight for each factor from executives of 88 auto parts manufacturers who authorize as the decision-makers for selecting IoT applications. The results have indicated that telepresence is the most important factor that will assist them in controlling production to guarantee that production capabilities meet the objective and connectivity is the second important factor that must ensure that IoT applications are compatible with their machinery and equipment can be controlled smoothly and precisely. Meanwhile, performance is the most important sub-factor and other subfactors are ranked as functional orientation, data management, control, and compatibility respectively. Therefore, manufacturers can use this research as a criterion for selecting appropriate IoT applications for controlling their manufacturing for sustainable effectiveness. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, How job characteristics and employee involvement affect sustainable quality management practices in the Thai food industry(2015-01-01); This study investigated which employee-related factors affect the application of quality management practices, and the characteristics and dynamics of the relationship between them. This will help business organisations select and design their operating system for their employees. This study used a sample of 271 middle level executives from 74 companies operating in the Thai food industry. The structural equation modelling (SEM) was used to analyse results. Results showed that job characteristics had a positive effect on the application of quality management practices through significant development of employee involvement. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Cost-efficient food loss and waste management using the FANP analysis(2026-01-01); ; This study proposes a structured cost-efficiency framework for managing food loss and waste in the frozen food industry by integrating supply chain analysis with responsibility-based cost concepts. Data collected from key industry stakeholders were used to identify critical factors contributing to food loss and waste across the frozen food supply chain. The fuzzy analytic network process (FANP) incorporated with cost analysis was employed to prioritize these interdependent factors. The results from the FANP show that suppliers and farms, followed by handling and storage. The cost responsibility analysis reveal that 85.47% of total food loss and waste-related costs are controllable, while the weighted cost impact analysis, captures the interaction between factor importance and cost proportion, indicates that factors with the highest weighted cost impacts are predominantly concentrated at the supplier and farm stage. The findings provide clear managerial guidance by identifying priority intervention areas where cost reductions can be achieved most effectively. This study contributes to the literature by linking food loss and waste drivers with controllable cost structures and by demonstrating how FANP can be applied to support cost-efficient and targeted improvement strategies in frozen food supply chains, particularly in emerging food-exporting economies such as Thailand.