Logistics Development and Local Supports: A Case of Pak Bara Port in Thailand

Governments usually use Logistics development to drive economic and trade development at the national and international stage. However, in various cases there are some negative impacts incur from such project in the development area. Such conflict has been discussed widely but seldom in academia. To understand the underlying reason for such conflict, this study aims to develop and examine the logistics on resident supports in the deep-sea port project. We test the model with the case of Pak Bara Deep Sea port on the West Coast of Thailand according the on-going attempt of the government for the project but lacks of supports from the local community. A research model was developed under the concept sustainable development and related studies on logistics impacts and social supports. The model was empirically tested using the Structural Equation Model (SEM) technique to explain the endogenous latent variable (support for the Pak Bara deep-sea port) and logistics impact as one of the exogenous latent variables together with economics, environment, social and culture, technology, and trust). Survey data were collected using self-administrative questionnaires from 310 residents in Satun province, where the project located. The study found that perceived impacts on environment, logistics, and trust in government significantly affect the resident supports. The path analysis shows that logistics aspect affects the resident supports the most. Moreover, the path analysis of each item shows that satisfying in transportation affects the resident supports the most. Contrast to many believe, It was also found that logistics impacts is critical to local residents as well as social impacts, whilst economic and environmental impact are more concerned by outsiders

Supply Chain Design for Senior Tourists in the Lanna Region of Thailand

Tourism is considered an important sector of the world economy nowadays since this industry is a major source of income for many countries including Thailand. The senior tourist market is an interesting tourism market since the market tends to expand continually due to the worlds senior population growth. Moreover, this elderly market is a potential market with high purchasing power and free time for travelling. Therefore, Thailand should prepare readiness to support this emerging market because it could be another major source of export income. The readiness of tourism management and provision of tourism facilities for senior tourists should be taken into consideration. This paper aims to study the supply chain design for senior tourist and mainly focus on the upper Northern area of Thailand (Lanna region) which has tourism resources and services required for senior tourists demand

A Structural Model of Cultural Tourism Supply Chain Collaboration on the R3A Route

This paper aims to evaluate the supply chain collaboration in the cultural tourism on the R3A route, which is starting from Kunming (China) to Luang Namtha (Lao PDR) and to Chiang Rai (Thailand). The Structural Equation Model (SEM) was used to evaluate the key factors that have affected to the collaboration between partners along the route. Data were collected from 200 cultural tourism enterprises via self-administrative questionnaires. The result was found that lack of data sharing is the barriers of collaboration on cultural tourism in R3A route between supply chain partners. Information, commitment, and communication technology are the key factors to promote collaboration sustainability

A Supply Chain Analysis of Incentive Travels: A Case of Thailand

In this paper, we explored supply chain structures and characteristics of the incentive travel industry, which is a special sector of the tourism and hospitality industry. Since the conceptual framework tailor-made for this sector cannot be found, we developed a generic model to outline key players and main operations such as collaborations and relationships between players in the supply chain. Then we verified the model with empirical data collected from the incentive travel industry in Thailand. A focus group discussion was organised to validated and contextualise the proposed framework. Four followed up in-depth interviews with incentive supply chain players in Thailand were conducted. Data were cross-validated using various data sources including private sector, public sector and educational institutes. Findings show that the main players in incentive supply chain are the incentive houses, who plan and design the incentive programme for the corporate considering the return-on-investment (ROI), and destination management companies (DMC), who execute the programme at the destination. Relationships and collaboration between players are vital to the success of incentive program delivery since the incentive travel programmes are considered special events that required tailored made supplies and operations. Finally, potential research arena also discussed with suggested methods