Khoa, B. T. Improving the Tour Booking Intention in Tourism Through Digitalizing Cultural Intangible Heritage: Evidence from Vietnam. 22-25. https://doi.org/10.1109/ICSH62408.2024.10779947
Bui KhoaCultural intangible heritage digitalization Digital technologies Heritage tourisms Leisure Perceived usefulness regression analysis Subjective norm Technology acceptance model theory of planned behavior Tour booking intention Tourism Viet Nam Vietnamese
Zhu, B., Tian, S. -Q., & Wang, C. -C. Improving the Sustainability Effectiveness of Traditional Arts and Crafts Using Supply-Demand and Ordered Logistic Regression Techniques in Taiyuan, China. 13. https://doi.org/10.3390/su132111725
Bo Zhu Si-Qi Tian Chien-Chih WangCase study Cultural preservation Intangible cultural heritage Policy matching Questionnaire analy-sis Shanxi Statistical techniques Taiyuan art craft production cultural heritage logistics manufacturing regression analysis supply chain management Sustainability
Halkos, G. E., Koundouri, P. C., Aslanidis, P. -S. C., & Plataniotis, A. Evaluating the tangible and intangible parameters of cultural heritage: an economic meta-analysis in a global context. 5, 187. https://doi.org/10.1007/s43621-024-00398-w
George Halkos Phoebe Koundouri Panagiotis-Stavros Aslanidis Angelos PlataniotisBenefit transfer C5 CLIMATE-CHANGE contingent valuation Europe Intangible cultural heritage Meta-regression analysis Q53 Q54 TRAVEL COST METHOD Tangible cultural heritage Value transfer Willingness-To-pay willingness to pay Z1 Z18 cultural heritage environmental economics global economy meta-analysis parameterization regression analysis willingness to pay
Halkos, G. E., Koundouri, P. C., Aslanidis, P. -S. C., & Plataniotis, A. Evaluating the tangible and intangible parameters of cultural heritage: an economic meta-analysis in a global context. 5, 187. https://doi.org/10.1007/s43621-024-00398-w
George Halkos Phoebe Koundouri Panagiotis-Stavros Aslanidis Angelos PlataniotisBenefit transfer C5 CLIMATE-CHANGE contingent valuation Europe Intangible cultural heritage Meta-regression analysis Q53 Q54 TRAVEL COST METHOD Tangible cultural heritage Value transfer Willingness-To-pay willingness to pay Z1 Z18 cultural heritage environmental economics global economy meta-analysis parameterization regression analysis willingness to pay
Shi, M., Zhu, W., Yang, H., & Li, C. (2016). Applying semantic web and big data techniques to construct a balance model referring to stakeholders of tourism intangible cultural heritage. International Journal Of Computer Applications In Technology, 54, 192-200. https://doi.org/10.1504/IJCAT.2016.10000522
Meiyu Shi Wei Zhu Hongji Yang Chen LiBig data Data acquisition Intangible cultural heritages Knowledge representation Pareto principle path analysis Questionnaire design regression analysis Scientific researches semantic web semantic web Social constructions stakeholders Structural equation model Structural equation modeling Structural equations Tourism tourism intangible cultural heritage