Browsing by Author "Pattanaphong Pothipassa"
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Item Blockchain of things (BoT) innovation for smart tourism(John Wiley and Sons Ltd, 2024) Pannee Suanpang; Pattanaphong Pothipassa; Chompunuch Jittithavorn; C. Jittithavorn; College of Management, University of Phayao, Bangkok, 10330, Thailand; email: chompunuch.ji@up.ac.thThis study aims to (a) develop the innovation of BoT prototype; and (b) provide an effective platform to recommend tourists activity, implement and trials blockchain prototype for booking travel activities, whether booking travel programs, air ticket booking hotel stay visits to attractions and payment of goods and services, and evaluate tourist intention to use BoT. The developed architecture enables the integration of blockchain technology capabilities into IoT technology based on high performance of usability, stability, accuracy, and completeness. The BoT prototype is evaluated by 428 users to support smart tourism. This support is significant and the level includes the BoT functional benefit (security, process, and availability) that is positively related to the intention to adopt BoT, and user benefit (trust, usability) is also positive related with intention to adopt BoT. This study significantly contributes to revolutionizing the tourism industry by implementing BOT in smart tourism destinations to gain competitive advantage. © 2024 John Wiley & Sons Ltd.Item Extensible Metaverse Implication for a Smart Tourism City(MDPI, 2022) Pannee Suanpang; Chawalin Niamsorn; Pattanaphong Pothipassa; Thinnagorn Chunhapataragul; Titiya Netwong; Kittisak Jermsittiparsert; P. Suanpang; Faculty of Science & Technology, Suan Dusit University, Bangkok, 10300, Thailand; email: pannee_sua@dusit.ac.thThe metaverse is an innovation that has created the recent phenomenon of new tourism experiences from a virtual reality of a smart tourism destination. However, the existing metaverse platform demonstrated that the technology is still difficult to develop, as the service provider did not disclose the internal mechanisms to developers, and it was a closed system, which could not use or share the userÕs data across platforms. The aim of this paper was to design and develop an open metaverse platform called the Òextensible metaverseÓ, which would allow new developers to independently develop the capabilities of the metaverse system. The acquisition of this new technology was conducted through requirements analysis, then the analysis and design of the new system architecture, followed by the implementation, and the evaluation of the system by the users. The results found that the extended metaverse was divided into three tiers that created labels, characters, and virtual objects. Furthermore, the linking tier combined the 3D elements, and the deployment tier compiled the results of the link to use all three parts by using the Blender program, Godot Engine, and PHP + WebGL as their respective key mechanisms. This system was tested in Suphan Buri province, Thailand, which was evaluated by 428 users. The results of the metaverse satisfaction, created tourism experience, and overall satisfaction of the variation of the satisfaction of using the metaverse were 86.0%, 79.7%, and 92.9%, respectively. The relative Chi-square (_2/df) of 1.253 indicated that the model was suitable. The comparative fit index (CFI) was 0.984, the goodness-of-fit index (GFI) was 0.998, and the model based on the research hypothesis was consistent with the empirical data. The root mean square error of approximation (RMSEA) was 0.024. In conclusion, the extended metaverse is more flexible than other platforms and also creates the userÕs satisfaction and tourism experience in the smart destination to support sustainable tourism. © 2022 by the authors.Item Integrating Generative AI and IoT for Sustainable Smart Tourism Destinations(Multidisciplinary Digital Publishing Institute (MDPI), 2024) Pannee Suanpang; Pattanaphong Pothipassa; P. Suanpang; Department of Information Technology, Faculty of Science & Technology, Suan Dusit University, Bangkok, 10300, Thailand; email: pannee_sua@dusit.ac.thThis paper aims to develop a groundbreaking approach to fostering inclusive smart tourism destinations by integrating generative artificial intelligence (Gen AI) with natural language processing (NLP) and the Internet of Things (IoT) into an intelligent platform that supports tourism decision making and travel planning in smart tourism destinations. The acquisition of this new technology was conducted using Agile methodology through requirements analysis, system architecture analysis and design, implementation, and user evaluation. The results revealed that the synergistic combination of these technologies was organized into three tiers. The system provides information, including place names, images, descriptive text, and an audio option for users to listen to the information, supporting tourists with disabilities. Employing advanced AI algorithms alongside NLP, developed systems capable of generating predictive analytics, personalized recommendations, and conducting real-time, multilingual communication with tourists. This system was implemented and evaluated in Suphan Buri and Ayutthaya, UNESCO World Heritage sites in Thailand, with 416 users participating. The results showed that system satisfaction was influenced by (1) the tourism experience, (2) tourism planning and during-trip factors (attention, interest, and usage), and (3) emotion. The relative Chi-square (_2/df) of 1.154 indicated that the model was suitable. The Comparative Fit Index (CFI) was 0.990, the Goodness-of-Fit Index (GFI) was 0.965, and the model based on the research hypothesis was consistent with the empirical data. This paper contributions significant advancements in the field of smart tourism by demonstrating the integration of Gen AI, NLP, and the IoT and offering practical solutions and theoretical insights that enhance accessibility, personalization, and environmental sustainability in tourism. © 2024 by the authors.Item Integration of Kouprey-Inspired Optimization Algorithms with Smart Energy Nodes for Sustainable Energy Management of Agricultural Orchards(MDPI, 2022) Pannee Suanpang; Pattanaphong Pothipassa; Kittisak Jermsittiparsert; Titiya Netwrong; P. Suanpang; Faculty of Science and Technology, Suan Dusit University, Bangkok, 10300, Thailand; email: pannee_sua@dusit.ac.thEnergy expenditure is now a major cost for agribusiness and community-based tourism in Thailand. Both types of businesses can also generate huge amounts of income for the country each year. This is a result of operators having to share part of their income with utility bills each month. As a result, the net return is lower than the operator should receive. Recognizing the need for energy management for sustainable use in agriculture focusing on durian cultivation in Kantharalak district and community tourism in Sisaket province, this research used a newly developed optimization algorithm called Kouprey-inspired optimization (KIO) to assist energy management in smart agriculture to support community-based tourism. This was initiated with a smart energy node to reduce the energy and labor costs for volcanic durian planting and accommodation in community-based tourist attractions in Sisaket province. The results showed that the combination of the KIO algorithm and smart energy node allowed for efficient management of the volcanic durian orchards and the use of clean energy in combination with traditional electric power for volcanic durian cultivation and community-based tourism. As the research area in Sisaket province had eight hours of solar power per day, this was sufficient for smart agriculture and community-based tourism in the daytime and in the evening. Furthermore, this allowed operators in both the agricultural and tourism sectors to reduce the labor costs of the durian orchard business and community-based tourism by about 30%, and in the energy sector, the costs could be reduced by 50%. As a consequence, this prototype would lead to the expansion and trial in durian orchards in the Eastern Economic Corridor area, which is an important economic area producing durian for export of the country. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.