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Flow is an optimal state of experience that has been studied in various situations, including online environments. In such environments, it has been found to be positively related to exploratory behaviour, revisit and purchase intention, and positive attitude towards web sites. Based on flow theory, this study tests the complete structure of the flow model as it was originally formulated in an online shopping context. The role of the preconditions of flow is elaborated and the effect of web site complexity, an important interface design variable, on flow is examined. Results show that web site complexity affects flow through the mediating effects of the three preconditions of flow. Theoretical and practical implications of this finding are discussed.

After nearly three decades of development, sustainable tourism has been widely recognized in tourism policy practice and tourism research. In recent years, scholars have paid more and more attention to the topic of sustainable tourism policy research. The purpose of this paper is to analyze its development process and extract its research subject framework for reference in future research. This paper uses the systematic review method and the literature co-citation network analysis to classify the theme of sustainable tourism policy research into six categories, including: Sustainable tourism policy stakeholders, sustainable tourism policy implementation, sustainable tourism and climate policy, sustainable tourism indicators and planning, sustainable concepts in tourism policy, and the role of sustainable tourism policy. The development and implementation of sustainable tourism policies are an effective response to global environmental and sustainable development challenges. However, the current sustainable tourism policy is often economic-growth oriented, which has theoretical differences with sustainable development. At the same time, the research focus of scholars is on the impact of policies on the sustainable development of tourism, while the research on the formation process of policies and governance behaviors in the sustainable development of tourism is not enough.

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Social media analysis has shown tremendous potential to understand public's opinion on a wide variety of topics. In this paper, we have mined Twitter to understand the public's perception of the Internet of Things (IoT). We first generated the discussion trends of the IoT from multiple Twitter data sources and validated these trends with Google Trends. We then performed sentiment analysis to gain insights of the public’s attitude towards the IoT. As anticipated, our analysis indicates that the public's perception of the IoT is predominantly positive. Further, through topic modeling, we learned that public tweets discussing the IoT were often focused on business and technology. However, the public has great concerns about privacy and security issues toward the IoT based on the frequent appearance of related terms. Nevertheless, no unexpected perceptions were identified through our analysis. Our analysis was challenged by the limited fraction of tweets relevant to our study. Also, the user demographics of Twitter users may not be strongly representative of the population of the general public.