Logistics business management of provider in Thailand with smart logistics

The objective of this study is to validate the model fitness in Thailand for logistics business management related to the adoption of Smart Logistics (SLAPR) and its influence, in respect of service providers, thus coming up with a decision-making plan. The quantitative research was employed in the process, and the sample size is six large logistics service providers, 400 respondents in Thailand. The research instrument consisted of a five-section questionnaire with a total number of questions of 108. A number of statistical methods were employed for data analysis, including the usage of structural equation modeling (SEM). The model consists of four constructs: Smart Logistics: Administration and Management (SLA), Smart Logistics: People Management (SLP), Smart Logistics: Rooms and Working Space Management (SLR), and Performance (PSH). The model fits satisfactorily and is therefore appropriate for strategic use in large logistics firms in Thailand engaged in the provision of international logistics services including maritime and air freight, dangerous goods transportation, port services for exports, warehouse renting services, customs clearance, and supply chain management from upstream to downstream. This study identifies the performance outcomes: reducing errors, cost reduction, reducing complexity, labor reduction, and operational efficiency improvement. PSH is directly influenced by the SLA construct with a direct effect (DE) value of 0.82. The results of the above results explained that company executives have to implement Smart Logistics as soon as possible so that results are achievable in one year.