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This paper investigates the ways digital media applications in rural areas have transformed the influence of social networks (SN) on farmers' adoption of various climate change mitigation measures (CCMM), and explores the key mechanisms behind this transformation.

The study analyzes data from 1,002 farmers’ surveys. First, a logit model is used to measure the impact of SN on the adoption of different types of CCMM. Then, the interaction term between digital media usage (DMU) and SN is introduced to analyze the moderating effect of digital media on the impact of SN. Finally, a conditional process model is used to explore the mediating mechanism of agricultural socialization services (ASS) and the validity of information acquisition (VIA).

The results reveal that: (1) SN significantly promotes the adoption of CCMM and the marginal effect of this impact varies with different kinds of technologies. (2) DMU reinforces the effectiveness of SN in promoting farmers' adoption of CCMM. (3) The key mechanisms of the process in (2) are the ASS and the VIA.

This study shows that in the context of DMU, SN’s promotion effect on farmers' adoption of CCMM is strengthened.

The purpose of this paper is to propose a method that can calculate the transportation infrastructure network service capacity enhancement given by planned transportation infrastructure projects construction. Managers can sequence projects more rationally to maximize the construction effectiveness of infrastructure investments.

This paper designed a computational network simulation software to generate topological networks based on established rules. Based on the topological networks, the software simulated the movement path of users and calculated the average travel time. This software allows the adjustment of parameters to suit different research objectives. The average travel time is used as an evaluation index to determine the most appropriate construction sequence.

In this paper, the transportation infrastructure network of Sichuan Province in China was used to demonstrate this software. The average travel time of the existing transportation network in Sichuan Province was calculated as 211 min using this software. The high-speed railways from Leshan to Xichang and from Xichang to Yibin had the greatest influence on shortening the average travel time. This paper also measured the changes in the average travel time under two strategies: shortening the maximum and minimum priorities. All the transportation network optimisation plans for Sichuan Province will be somewhere between these two strategies.

The contribution of this research are three aspects: First, a complex network analysis method that can take into account the differences of node elements is proposed. Second, it provides an effective tool for decision makers to plan transportation infrastructure construction. Third, the construction sequence of transportation infrastructure development plan can effect the infrastructure investment effectiveness.

This study aims to identify the factors influencing Chinese outbound tourists’ perceptions of safety in Thailand. A media coverage analysis compares the safety perceptions of visitors and non-visitors.

A mixed-methods approach was adopted. Based on a content analysis of 204 news items related to safety incidents in Thailand, this paper divides the factors of safety perception into four dimensions. The quantitative data were gathered by self-administered questionnaires from 370 visitors who have previously visited Thailand and 407 potential visitors yet to visit Thailand.

The results demonstrated significant differences in the safety perceptions of visitors and non-visitors, indicating non-visitors’ fear of uncertainty and intolerance of the exotic. The study also confirmed social-demographic characteristics influence destination safety perceptions. For non-visitors, safety issues tend to have a negative influence on future visit intention, but those with previous travel experience have less concerns.

The findings provide valuable insights to industry practice. More publicity campaigns within the Chinese media may reduce the spillover effects of crisis events and correct the potentially inaccurate images of disease and terrorism risk. Thai government is suggested to develop the Chinese inbound market, improve the quality of tourism infrastructure and standardisation and efficiency of tourism services.

The media plays a significant role in destination image, tourist decision-making and safety measures imposed by governments. This study identified the factors influencing Chinese outbound tourists’ perceptions of safety in Thailand through an analysis of media coverage. The study provides a better understanding of the differences in safety perceptions between visitors and non-visitors to Thailand. The segmentation of visitors and non-visitors also may help destination managers to cater to differing expectations of safety.

本研究旨在探讨中国赴泰游客和潜在赴泰游客对泰国安全认知的影响因素。本研究通过对媒体报道文本的分析，识别出中国出境游客泰国安全感的影响因素，并进一步对游客与潜在游客在安全感知上的差异进行对比。

本研究采用了混合方法。本文通过对204篇泰国安全事件新闻报道的内容进行分析，将安全感知因素分为四个维度。定量研究数据是从370名有泰国旅游经历的游客和407名没有去过泰国的潜在游客中收集的。

研究结果显示游客与潜在游客在安全认知上有显著差异，体现了潜在访客对异国情调的不确定性和不宽容。本研究也证实了社会人口学特征对两个群体的目的地安全感知都有影响。此外，对于潜在游客来说，大多数安全问题都会对他们未来的访问意图产生负面影响，但对于游客来说，结果则相反。

媒体在目的地形象、旅游决策和政府安全措施方面发挥着重要作用。本研究以媒体报导为分析工具，探讨中国出境游客泰国安全感的影响因素。这项研究有助于更好地了解中国赴泰游客和潜在游客在安全认知方面的差异。游客和潜在游客的细分也有助于目的地管理者满足他们对安全的特定期望。

我们的发现为行业实践提供了有价值的见解。在中国媒体上开展更多的宣传活动，可以减少危机事件的外溢效应，纠正有关疾病和恐怖主义风险的潜在地不准确形象。此外，泰国政府应提高旅游基础设施的质量，提高旅游服务的标准化和效率。

Este estudio identifica los factores que influyen en la seguridad percibida de Tailandia por los turistas emisores chinos, con el análisis de la cobertura de los medios, y además compara las diferencias en las percepciones de seguridad entre visitantes y no visitantes.

Se ha adoptado una metodología mixta. Basado en el análisis de contenido de 204 noticias sobre incidentes de seguridad en Tailandia, este trabajo divide los factores de percepción de seguridad en cuatro dimensiones. Los datos cuantitativos se recopilaron mediante cuestionarios autoadministrados de 370 visitantes que tenían experiencia en viajes a Tailandia y 407 visitantes potenciales que no habían estado en Tailandia.

Los resultados demuestran diferencias significativas en la percepción de seguridad de los visitantes y no visitantes, lo que indica el miedo de los no visitantes a la incertidumbre y la intolerancia de lo exótico. Este estudio también confirma que las características sociodemográficas influyen en la percepción de seguridad del destino de cada grupo. Además, para los no visitantes, la mayoría de las cuestiones de seguridad influyen negativamente en su intención de visita futura, pero para los turistas, los resultados son contrarios.

Los resultados brindan información valiosa para la práctica de la industria. Más campañas publicitarias en los medios chinos podrían reducir los efectos secundarios de los eventos de crisis y corregir las imágenes potencialmente inexactas sobre los riesgos de enfermedades y terrorismo. Además, el gobierno tailandés debería mejorar la calidad de su infraestructura turística y aumentar la estandarización y eficiencia de los servicios turísticos.

Los medios de comunicación juegan un papel importante en la imagen del destino, la toma de decisiones turísticas y las medidas de seguridad de los gobiernos. Este estudio identifica los factores que influyen en la seguridad percibida de Tailandia por parte de los turistas chinos, con el análisis de la cobertura de los medios. El estudio proporciona una mejor comprensión de las diferencias en las percepciones de seguridad entre visitantes y no visitantes de Tailandia. La segmentación de visitantes y no visitantes también ayuda a los gestores de los destinos a satisfacer expectativas específicas de seguridad.

The owners of mega projects typically assemble multiple academic research units and enterprises to form an innovation alliance, which carries out knowledge transfer and knowledge creation targeting technical challenges in the process of engineering construction. Due to high technical and management complexity of mega projects, factors affecting knowledge transfer among innovation subjects are complex and diverse. This study proposes a mixed system dynamics (SD) method to build and simulate the process of knowledge transfer in mega projects innovation and analyzes the driving mechanism that enhances knowledge stock of enterprises and engineering innovation results.

First, this paper proposes a conceptual model for knowledge transfer in mega projects by adopting event analysis of the data gained from investigations and interviews. Then, a qualitative model of knowledge transfer that considers mutual influences of the owner, academic research unit and enterprises is developed. Based on that, mathematical relationship among variables of the qualitative model is determined and a quantitative model of knowledge transfer that considers heterogeneity of knowledge sender is built. Finally, simulation is achieved using Vensim software.

The factors affecting knowledge stock of enterprises are analyzed from three aspects: (1) the individual motives and capability of academic research units and enterprises; (2) the gap between academic research units and enterprises; (3) the heterogeneity of academic research units. The results show that the willingness and capability of knowledge reception by enterprises, specific knowledge transfer context such as relational distance and organization distance between academic research units and enterprises and academic research units with high knowledge stock have key influences on the knowledge stock of enterprises.

Factors affecting knowledge transfer within the alliance of innovation in mega projects and their correlations are highly complicated and difficult to determine. Despite massive investigations and interviews on many long-span bridges in China in this study, it is barely possible to directly obtain accurate data for all variables in the model. Limitations of historical data result in limitations on applications of the proposed model.

By building the mega projects knowledge transfer model and conducting simulation analysis, this paper has generated practical values for the owners of mega projects on fostering, organizing, coordinating and managing of innovations. Especially, this study provides specific strategies and suggestions on selection of innovation subjects, motivation and guaranteed efficiency of knowledge transfer and knowledge creation of academic research units and enterprises.

This study proposes a conceptual model for factors affecting knowledge transfer that applies to innovations in mega project context, which fills the gap in the research of knowledge management in mega project innovations. Additionally, combining with the method of SD, the unique role of owner in knowledge transfer of mega projects and the differences among various knowledge senders and their influences on knowledge stocks of enterprises are thoroughly considered, and the research method of modeling and simulation of knowledge transfer mechanism is supplemented and extended.

Integrating artificial intelligence and quantitative investment has given birth to various agricultural futures price prediction models suitable for nonlinear and non-stationary data. However, traditional models have limitations in testing the spatial transmission relationship in time series, and the actual prediction effect is restricted by the inability to obtain the prices of other variable factors in the future.

To explore the impact of spatiotemporal factors on agricultural prices and achieve the best prediction effect, the authors innovatively propose a price prediction method for China's soybean and palm oil futures prices. First, an improved Granger Causality Test was adopted to explore the spatial transmission relationship in the data; second, the Seasonal and Trend decomposition using Loess model (STL) was employed to decompose the price; then, the Apriori algorithm was applied to test the time spillover effect between data, and CRITIC was used to extract essential features; finally, the N-Beats model was selected as the prediction model for futures prices.

Using the Apriori and STL algorithms, the authors found a spillover effect in agricultural prices, and past trends and seasonal data will impact future prices. Using the improved Granger causality test method to analyze the unidirectional causality relationship between the prices, the authors obtained a spatial effect among the agricultural product prices. By comparison, the N-Beats model based on the spatiotemporal factors shows excellent prediction effects on different prices.

This paper addressed the problem that traditional models can only predict the current prices of different agricultural products on the same date, and traditional spatial models cannot test the characteristics of time series. This result is beneficial to the sustainable development of agriculture and provides necessary numerical and technical support to ensure national agricultural security.

The purpose of this study is to unpack the antecedents and consequences of clickbait prevalence in online media at two different levels, namely, (1) Headline-level: what characteristics of clickbait headlines attract user clicks and (2) Publisher-level: what happens to publishers who create clickbait on a prolonged basis.

To test the proposed conjectures, the authors collected longitudinal data in collaboration with a leading company that operates more than 500 WeChat official accounts in China. This study proposed a text mining framework to extract and quantify clickbait rhetorical features (i.e. hyperbole, insinuation, puzzle, and visual rhetoric). Econometric analysis was employed for empirical validation.

The findings revealed that (1) hyperbole, insinuation, and visual rhetoric entice users to click the baited headlines, (2) there is an inverted U-shaped relationship between the number of clickbait headlines posted by a publisher and its visit traffic, and (3) this non-linear relationship is moderated by the publisher's age.

This research contributes to current literature on clickbait detection and clickbait consequences. Future studies can design more sophisticated methods for extracting rhetorical characteristics and implement in different languages.

The findings could aid online media publishers to design attractive headlines and develop clickbait strategies to avoid user churn, and help managers enact appropriate regulations and policies to control clickbait prevalence.

The authors propose a novel text mining framework to quantify rhetoric embedded in clickbait. This study empirically investigates antecedents and consequences of clickbait prevalence through an exploratory study of WeChat in China.

The purpose of this paper is to make objective descriptions on various money‐laundering techniques and to put forward countermeasures in order to combat money laundering more effectively and efficiently.

This paper based on 20 simplified money‐laundering cases, describes various money‐laundering techniques, analyses the reasons why these methods prevail, and points out the future efforts to be made in the fight against money laundering.

As usual, the ways of money laundering include cash smuggling, making use of banks or insurance company, or making use of shell‐company or front‐company. Nowadays, criminals also turn to real estate, lottery, international trade, offshore company to launder money. Sometimes lawyers, accountants are exploited by money launderers. With the wide use of electronic money and internet, criminals prefer to launder money through non‐face to face transactions. The fight against money laundering is the fight between justice and evil. It is of great importance to pierce the secret veil of money laundering so that we can combat money laundering more effectively and efficiently.

This paper prevents a comprehensive description of, and comments on, various money‐laundering techniques and future efforts to be made in the fight against money laundering, which would be beneficial to policy makers, enforcement authorities, and judicial professionals.

Realizing project portfolio benefits (PPBs) is considered a key challenge faced by enterprises. This challenge can largely be attributed to an unclear understanding of the factors influencing PPBs. However, synergistic relationships create complexity for the management of influencing factors. In response to this dilemma, the objective of this study is to quantitatively investigate the factors influencing PPBs while considering the synergistic effect among factors to provide guidelines for benefits management.

Through an integration of the synergy degree of the composite system model and social network analysis (SNA), a refined model is proposed to explore the factors influencing PPBs. First, a list that includes financial and nonfinancial influencing factors is clarified. Then, the corresponding network links, which represent the synergistic relationships among the factors, are innovatively assessed based on the synergy degree of the composite system. Finally, the influencing factor network is analyzed using both individual and overall indicators of SNA.

The resulting evidence demonstrates that four critical influencing factors exist, namely, “project managers,” “purchasers,” “development capacity” and “tangible resources.” These factors are relatively important and should be prioritized. Furthermore, the factors are divided into three subgroups: participant, resource and governmental factors. A general observation from the results is that factors that share the same subgroup are more likely to have a synergistic effect advantage, which leads to an increase in PPBs.

The value of this paper lies in its proposition of a quantitative model that can be used to measure and analyze the factors influencing PPBs with synergy considerations. This research contributes to the body of knowledge on benefits management by linking synergy with PPBs. It presents new insights for managers on how PPBs may be effectively managed and promoted from the perspective of influencing factors.

China has recently introduced a new audit law that aims to increase the scope of audit supervision and raise the standards for preventing risks in auditing national public projects. This paper presents a systematic research study on the causes of audit risks in national public projects and discusses the process by which these causes contribute to the emergence of such risks. Furthermore, the paper investigates the core risk sources in various types of national construction project audit. This paper aims to provide theoretical support for auditors of national construction projects in risk avoidance when conducting audits.

In this study, the authors carefully selected five national public audit projects from China and performed a comprehensive analysis of 85 relevant audit documentation. The textual analysis was conducted using Nvivo12 software, and the grounded theory approach was adopted for generalization purposes.

Based on the research results, the findings suggest that there are five key causes contributing to the audit risk of national construction projects: professional competence, risk awareness, management capacity, level of attention and deliberate fraud. The most critical factor identified is management capability, with 59.93% of the data supporting this view. This conclusion was based on an analysis of state-owned enterprises, administrative organs and public institutions. Building upon this, a framework titled “the mechanism of audit risk factors with management capability as the core” was constructed.

This paper employs qualitative analysis methods to examine national construction projects in China, contributing new literature to the theoretical study of audit risk management. The article also provides practical recommendations for auditors on how to mitigate audit risks and improve the quality of audit services in national project governance.