Journal of Chandrakasemsarn

Logistics Management and Operational Efficiency: Impact of Dual-Track Railways on Transport Business Success in Thailand

2025-07-07T15:14:22+07:00

This research was conducted with aims: 1) to analyze the level of logistics management impacting success of transportation businesses in Thailand, 2) to evaluate operational efficiency of dual-track railway expansion affecting success of transportation businesses, and 3) to develop and validate causal relationship between logistics management and the present operational efficiency of dual-track railway expansion influencing success of transportation businesses in Thailand. The study involved a population of 4,431 companies. Sample size of 300 was determined using the 1:20 variable estimation method and selected via systematic sampling. A questionnaire with an overall reliability of 0.983 was employed for data collection both online and onsite. Data were analyzed using structural equation modeling (SEM).

The following findings could be observed. 1) Level of logistic management influencing transportation business success in Thailand was found to be high. 2) Level of operational efficiency of dual-track railway expansion was found to be high, especially the aspect concerning cost management. 3) Regarding the present development and validation of causal relationship between logistics management and operational efficiency of dual-track railway expansion influencing success of transportation businesses in Thailand, the derived causal model was found to well aligned with empirical data (X2 = 15.268, df = 19, X2/df = 0.804, P = 0.705, RMSEA = 0.000, RMR = 0.022, CFI = 1.00, AGFI = 0.962, GFI = 0.992, TLI = 1.003) with 0.904 coefficient of determination (R² = 0.904). It could thus be observed that the model was accounting for 90.40% of the variance in transportation business success. As logistic management could be found accounting for both direct and indirect impact via dual-track railway efficiency, operators should focus on order management, cost control, and technology adoption to strengthen logistic infrastructure and sustain competitiveness.

The Influence of Organizational Culture and Learning Organizations for Organizational Effectiveness: A Case Study of Wang Thong Subdistrict Administrative Organization, Mueang Kamphaeng Phet District, Kamphaeng Phet Province

2025-09-05T15:47:58+07:00

This research aimed to: 1) examine the levels of perceptions regarding organizational culture, learning organization, and organizational effectiveness of Wang Thong Subdistrict Administrative Organization, Mueang Kamphaeng Phet District, Kamphaeng Phet Province. 2) To examine the influence of organizational culture and learning organization on the organizational effectiveness of the Wang Thong Subdistrict Administrative Organization, Mueang Kamphaeng Phet District, Kamphaeng Phet Province.

This research employed a mixed-methods approach, integrating both quantitative and qualitative research. Quantitative data were collected through questionnaires administered to 66 respondents and analyzed using frequency, percentage, mean, and multiple regression statistics. Qualitative data were obtained from structured interviews with five key informants and analyzed through content analysis by systematically organizing, categorizing, and interpreting relationships to draw meaningful conclusions.

The findings revealed that: (1) the overall organizational culture of Wang Thong Subdistrict Administrative Organization, Mueang Kamphaeng Phet District, Kamphaeng Phet Province, was at a high level. The overall level of the learning organization was also high (μ = 3.71). The overall organizational effectiveness was high (μ = 4.06). 2) organizational culture and learning organization significantly influenced organizational effectiveness at the 0.05 level. In particular, factors such as adaptability and mission-oriented culture, continuous learning, shared vision and empowerment, environmental linkage, and strategic leadership were identified as key factors. Moreover, the qualitative findings corroborated the quantitative results, affirming that organizational culture and learning organization play a crucial role in enhancing organizational effectiveness.

The Development of a Model to Increase the Efficiency of Transport Operations for Safety by Accepting the Use of Innovative Transport Technology

2025-09-03T15:20:04+07:00

Transportation safety remains a critical concern due to ineffective safety management practices and technological implementation constraints. These factors have led to declining transportation quality standards and inadequate systematic problem-solving approaches, directly compromising operational efficiency and safety performance. The objectives of this research are to 1) examine factors influencing road freight transportation improvements for safety enhancement, 2) develop an efficiency enhancement model through innovative transportation technology acceptance, and 3) propose practical operational guidelines aligned with real-world contexts. The study population consisted of 5,582 individuals, from which 400 participants were selected based on a 1:20 variable ratio and through probability sampling. Data collection employed an online questionnaire (reliability coefficient = 0.892), with analysis conducted using inferential statistics and Structural Equation Modeling (SEM).

The findings reveal that technology acceptance (TAM) has a positive direct effect on transportation quality standards (TSQM) and safe transportation efficiency (SME), both directly and indirectly, with TSQM serving as a significant mediating variable. Additionally, safety management (TSM) significantly influences TSQM and SME both directly and indirectly. The model explains 68.80% of the variance in SME, consistent with TAM theory and concepts of quality and safety management. This implies that adopting appropriate technology and management systems helps enhance transportation efficiency and safety sustainably. Therefore, transportation operators should integrate technology usage with effective risk management to develop a quality, safety, and sustainable transportation system suitable for the digital era and business contexts.