Objective: This study aimed to investigate the influence of organisational driving forces on transportation practices during the COVID-19 crisis and the effect on the sustainability supply chain performance of Thailand’s logistics service providers. Methods: The study used the explanatory-sequential mixed-method research design technique. The sample included 250 logistics service providers in Thailand. Purposive sampling was used to select the sample. A focus group discussion was conducted with three logistics experts and seven logistics service provider’s top executives, totalling ten key informants. The data gathered was analysed using structural equation modelling to perform a confirmatory factor analysis and path analysis. Results: The results found that organisational driving forces and transportation practices during the COVID-19 crisis have typically affected sustainability supply chain performance. In addition, the mediation effects of transportation practices during the COVID-19 crisis have unveiled partial mediation in the presence of a direct effect. The qualitative study was found to be consistent with the quantitative method findings from the logistics industry-specific contexts. Conclusion: Overall, the results provide support for the contention of the contingency theory. Thailand logistics service providers can use the results to plan the supply chain management works, outline the strategy of the organisation, and develop the business to be more competitive.
The study aims to determine the relationships between the determinants of innovation speed and their impact on innovation performance among Malaysia's manufacturing industry employees. A purposive sampling technique was adopted, and 123 completed survey forms were received for further examination. The findings revealed that, except for autonomy, other determinants such as creativity, self-leadership, innovativeness, risk-taking, and proactiveness significantly impacted innovation speed. In addition, innovation speed significantly influenced the employees' innovation performance. Future research should focus on other factors that may influence the speed of innovation in different industries and how they affect different levels of the organizations. Keywords: Creativity; Innovativeness; Innovation Speed; Performance; Self-leadership eISSN: 2398-4287© 2022. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians/Africans/Arabians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. DOI https://doi.org/10.21834/ebpj.v7iSI9.4316
The objectives of this research are to find the proper measures to improve efficiency of Thai-Lao cross border transportation (R9 route) for Thai shippers and study their performance after implementing the developed measures. This research implements both quantitative and qualitative research, where the population of this research consists of shipper’s groups which transport products via the Thai Lao border located along R9 route. The research tools are questionnaire and structured interview form passed variability and reliability tests. Then the questionnaires are distributed to 3 large size firms (sample size of 316 people) and an in-depth interview with 18 people. This research analyzes gathered data using descriptive analysis, construct validity, structural equation modeling (SEM), path analysis, and content analysis for qualitative data. The analysis results reveal important findings according to each research objective as follows. For the first objective, to improve cross-border transportation, the case study firms should concentrate on three measures as: 1) transportation safety in terms of sound safety control and monitor, increasing rest areas and truck stops including those on pavement or roadside, safety monitoring during transportation, and weather conditions checking; 2) documentation procedure in terms of reducing the procedure steps, IT implementation, and procedure improvement both inbound and outbound; and 3) vehicles management in terms of appropriate resources allocation, facilities availability, and appropriate resources selection. For the second objective, the study of the case study firms’ performance after implementing the developed measures, it reveals benefits in several aspects of 1) cheaper (they can deliver items with lower costs, lower expenses, or lower price than before implementation as well as other competitors); 2) faster (better customers responsiveness, faster delivery and operating than other competitors, and lead time reduction), and 3) better (in operations with less bottlenecks, mistakes, and disruptions manifested in delivery; higher competitiveness and better service quality). To summarize, the implementation of the developed model can help the shippers to increase their capability as well as their competitiveness.
The objective of this study is to examine the role of HRM and supply chain to promote business performance (BP) sustainability in Thai textile firms. Meditating role of employee skills and raw material is examined. Therefore, the relationship between HRM, supply chain, employee skills, raw material and BP sustainability was examined. Population of the study is textile firms of Thailand. Employees of these textile firms were selected as respondents. 300 questionnaires were distributed among the textile firms of Thailand. Results of the study shows the positive role of HRM in BP sustainability. Better practices of HRM have the ability to promote BP sustainability. HRM has a positive role in employee skills development which further enhances BP sustainability. Moreover, supply chains in textile firms also play a major role to promote BP sustainability. Better supply chain increases the availability of raw material which causes BP sustainability.
Aim and Objective:This study aims to minimise the travelling distance, operation cost in terms of fuel consumption, and CO 2 emissions. It introduces the Time-Dependency Pollution-Routing Problem (TDPRP) with the implementation of the time-dependency and emission model, including constraints such as the limitation of vehicle capacity and vehicle's speed during different time periods in Thailand. Furthermore, the time window constraint is applied for representing a more realistic model. The main objective is to minimise the total pollution generated because of transportation. Methods:The Genetic Algorithm (GA) and Tabu Search (TS) methods have been used to generate the optimal solution with a variety of experiments. The best solutions from all the experiments have been compared to the original solution in terms of the quality of the solution and the computation time. Results:The best solution was generated by using the TS method with 30,000 trials. The minimum of the total CO 2 emissions was 183.9846 kilograms produced from all of the vehicles during transportation, nearly half from the current transportation plan, which produced 320.94 kilograms of CO 2 emissions. Conclusion:The proposed model optimised both the route and schedules (multiple time periods) for a number of vehicles, for which the transportation during a fixed congestion period could be predicted to avoid traffic congestion and reduce the CO 2 emission. Future research is suggested to add other specific algorithms as well as constraints in order to make the model more realistic.at about 78% of the emissions from all transport modes [2]. CO 2 emissions are the result of fuel consumption and vehicle speed (travelling time). Transportation is the fastest-growing major contributor to global climate change, accounting for 23% of energy-related carbon dioxide (CO 2 ) emissions. Many experts foresee a three-to five-fold increase in CO 2 emissions from transportation in Asian countries by 2030 compared with emissions in 2000 if no changes are made to investment strategies and policies [3]. Traffic congestion directly affects the vehicle speed and the total time spent on the road. In addition, the fuel consumption rate depends on two factors, which are the speed of the vehicle and the load of the vehicle [4].
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