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Container terminal operation is one of the most risky industries. Many of the accidents that occurred were found to be caused by human errors. However, it seems relatively little research has been conducted to examine the influence of leader-member exchange (LMX) relationship on employee safety behavior. Therefore, the purpose of this study is to examine the effects of leader-member exchange and safety climate on employees’ safety organizational citizenship behaviors (SOCB) in the container terminal context based on the social exchange theory.

A structural equation modeling was used with confirmatory factor analysis, and survey data are collected from 265 employees in major container terminals in Taiwan.

Results indicated that LMX is positively associated with safety climate, whereas safety climate positively influences employees’ safety citizenship behavior. Specifically, results indicated that safety climate mediates the effect of LMX on employees’ SOCB.

This study was limited to LMX dimensions adapted from the studies of Li and Liao (2014) and Vidyarthiv et al. (2014). Future research could examine the linkages between LMX, ethical climate, safety performance and supervisor leadership influence. Furthermore, this research focused specifically on employees from the container terminal operators in Taiwan. It would be valuable to collect data from employees from other countries to obtain a balanced view of the relationship between LMX, team-member exchange (TMX), safety climate and employee SOCB in container terminal operations.

This research provides a useful implication for container terminal operators to enhance LMX qualities and employee safety behavior through organizational participation, employee-helping behaviors and informing workers to obey safety rule and regulation.

Given the prevalence of accidents and unsafe behavior in container terminal operations, this research sought to examine the relationships among LMX, safety climate and employee SOCB in the container terminal context. Theoretically, this study highlights the importance of LMX and safety climate in explaining the SOCB of employees.

This study aims to propose a safety marketing stimuli-response model to explain passengers’ safety behavior in the ferry services context.

Structural equation modeling was conducted to examine the impact of safety marketing stimuli on passengers’ safety awareness and behavior by using data obtained from a survey of 316 ferry passengers in Hong Kong.

The authors found that passengers’ perceptions of ferry safety marketing stimuli positively affected their safety awareness and safety awareness positively affected passengers’ safety behaviors. Specifically, they found that safety awareness played a mediating role in the relationship between ferry safety marketing stimuli and passengers’ safety behaviors.

The empirically validated scales can be adapted to practices of safety marketing, while providing helpful information for ferry operators to evaluate their efforts of safety marketing and implications for improvement.

According to the authors' knowledge, this study is one of the first attempts to fill this research gap by empirically validating and theoretically conceptualizing measures of safety marketing stimuli based on the marketing stimulus-response model.

Forecasts of commodity prices are vital issues to market participants and policy makers. Those of corn are of no exception, considering its strategic importance. In the present study, the authors assess the forecast problem for the weekly wholesale price index of yellow corn in China during January 1, 2010–January 10, 2020 period.

The authors employ the nonlinear auto-regressive neural network as the forecast tool and evaluate forecast performance of different model settings over algorithms, delays, hidden neurons and data splitting ratios in arriving at the final model.

The final model is relatively simple and leads to accurate and stable results. Particularly, it generates relative root mean square errors of 1.05%, 1.08% and 1.03% for training, validation and testing, respectively.

Through the analysis, the study shows usefulness of the neural network technique for commodity price forecasts. The results might serve as technical forecasts on a standalone basis or be combined with other fundamental forecasts for perspectives of price trends and corresponding policy analysis.

With the development of social productive forces and the advancement of agricultural practices since the founding of New China, the connotation of agricultural modernization with Chinese characteristics has undergone a process from formation to continuous expansion and deepening.

Its evolution can be roughly divided into four stages: the exploration stage, the formation stage, the establishment stage and the deepening stage. The historical evolution of the connotation of agricultural modernization with Chinese characteristics demonstrates four typical characteristics, namely increasingly scientific logical premise, continuously diversified orientations, increasingly improved core contents and progressively maturing strategies of development.

The achievements of agricultural modernization have laid a solid foundation for China's industrial modernization and the rapid development of the national economy. Meanwhile, the authors have identified through practical exploration a path of agricultural modernization with Chinese characteristics. In recent years, academic research on the connotation of agricultural modernization with Chinese characteristics has gradually heated up, and relevant achievements have emerged constantly.

The Communist Party of China (hereinafter “CPC”) has placed considerable emphasis on agricultural issues and has been committed to promoting agricultural modernization since the founding of New China. Through long-term persistence and unremitting efforts, China has made remarkable achievements in agricultural development: significantly improved agricultural production conditions and agricultural output capacity, constantly optimized agricultural structure and steadily increased the income of farmers.

The study aims to investigate the influence of FinTech (Financial Technology) determinants such as crowdfunding, mobile payment and blockchain as potential facilitators in an entrepreneurial ecosystem for undertaking decisions in Tunisia, as an example of emerging economy.

Quantitative research was carried out with data collection based on a questionnaire that has been sent via email to young Tunisian entrepreneurs (potential or actual). A following regression was calculated on 93 respondents.

Analysis of the data showed that most of the relationships under investigation were confirmed. Statistical tests highlighted that knowledge, availability and access about crowdfunding and blockchain had a positive and significant impact on entrepreneurial intention. Regarding mobile payment, there was a negative and insignificant effect on entrepreneurial intention.

From the evidence of the research, Fintech ecosystems may positively influence the decision to undertake, with relevant implications at institutional, industrial and individual level. More specifically, demonstrating a positive and significant relationship between some main dimensions of FinTech and entrepreneurial intention and emphasizing the contribution of related knowledge to intellectual capital accumulation through entrepreneurial education, this study seems to be unique in examining and verifying this potential effect.

The e-freight program launched by the International Air Transport Association (IATA) has gradually become a standard specification for international air freight operations. This study examined critical factors affecting air freight forwarders’ decision to adopt the IATA e-freight using a technology-organization-environment model with air freight forwarders in Taiwan as the base. Our findings show that ‘information technology (IT) competence’, ‘trading partner pressure’, ‘government policy’ and ‘competitive pressure’ all have significant positive effects on air freight forwarders’ decision to adopt the e-freight and the top three factors among these are ‘government funding’, ‘government’s active promotion’ and ‘government’s requirement of electronic air waybill (e-AWB)’. Finally, this study proposes strategies that can encourage air freight forwarders to decide on e-freight adoption for the information of relevant oK regyawniozradtison International Air Transport Association (IATA); IATA e-freight; Technology organization environment model; Air freight forwarder