The paper aims to identify the factors that cause prospective tourists’ hesitation to travel. The study also examines whether this relationship is mediated by the tourist perception in Bangladesh. The study is of quantitative design, and the relationships between tourist knowledge, tourist health risk, and destination personality with tourist hesitation were explored using a sample of 322 Bangladeshi prospective tourists. The three relationships were also examined through tourist perception. By using cross-sectional data, the researchers hypothesized that tourist knowledge, tourist health risk, and destination personality have a positive and significant effect on tourist hesitation. Besides, the researchers also hypothesized that tourist perception mediates the relationships between tourist knowledge, tourist health risk, and destination personality with tourist hesitation. In this respect, the Smart PLS 3.0 was employed to analyze the data. The results of the study confirm findings of previous related studies by not only highlighting the importance of tourist perception in shaping tourist hesitation but also indicating the way each dimension of tourism either enhances or inhibits the tourist hesitation. The results of the study also reveal a positive and significant relationship between tourist knowledge and tourist health risk with tourist hesitation. The analysis of data showed no conventional relationship between destination personality and tourist hesitation. Accordingly, this study identified the extent to which tourist perception mediates the relationship between tourist knowledge and destination personality with tourist hesitation. Meanwhile, the results of the study indicate the absence of any mediation role of tourist perception between tourist health risk and tourist hesitation. The study outcomes would encourage the government, policymakers, and tourism managements in creating a tailor-made responsiveness program by building a scenario that could offer more prominent sustainable tourism establishments. Besides, the results may assist stakeholders of tourist destinations in understanding tourist perception and the causes of tourist’s hesitation.

This study focuses on the role of new blockchain technology in the green IoT ecosystem, highlights essential aspects for developing a green IoT ecosystem, and investigates how blockchain technology contributes to a greener IoT environment. Data from 360 Peruvian (Latin American) SME top managers (two informants from each of 180 SMEs) were quantitatively analyzed using Smart PLS 3.0 (SEM) and SPSS V25. The purpose of this study was to look into the direct impact of attitude, knowledge, and perceived ease of use on blockchain technology adoption for green energy usage. These three parameters' indirect effects on perceived feasibility were also evaluated. The investigations demonstrated a positive and significant association between blockchain technology adoption and perceived ease of use for green energy usage. There is no typical link between green energy usage attitudes and blockchain technology adoption. Furthermore, the data revealed that perceived feasibility mediates the impact between attitude and knowledge and blockchain technology adoption for green energy usage.