Delivering the finest products to consumers at the optimal time, in the perfect location, at the right price, and with the highest quality - these are well-known requirements for logistics and transportation. However, in a dynamic context, it is getting more difficult to achieve these needs. There is a transition from traditional to smart supply chains. The highly dynamic logistics market and the complexity of supply chains require new methods, and services. Aspects such as flexibility, adaptability and traceability are becoming more important and can only be accomplished through the integration of new technologies, especially Blockchain and the Internet of Things (IoT), and artificial intelligence( AI). Therefore, this paper aims to conduct a systematic review of the academic literature on Blockchain, IoT and AI in the context of Smart Logistics.
Social media has emerged as a pivotal marketing instrument and a platform that facilitates connections between consumers and businesses. In the intense market competition among peer airlines and high-speed rail services, the effective and efficient use of social media can provide a competitive edge for airlines in China. This paper constructs a partial least squares structural equation modelling (PLS-SEM) and examines the impact of the perceived ease of use of the social media platform, perceived usefulness of information, and marketing strategies on customer perceived value and purchase intention for Chinese airlines using multigroup analysis. The results suggest that social media marketing can positively influence on customers’ purchase intention, and perceived value plays a mediating role between social media marketing and customers’ purchase intention. Perceived usefulness of information is the most important factor contributing to the perceived value of airline products while marketing strategy is the most significant factor that can increase purchase intention. The research indicates a clear need to tailor marketing strategies for passengers based on factors such as gender, income, social media usage, and travel frequency.
We use a DEA analysis to compare the efficiency of the railways of Western and Eastern Europe and find while most railways of Western Europe are on the efficiency frontier, those of Eastern Europe are typically a long way from it. One explanation may be that the reform process only started much later in Eastern Europe than in the West, although it appears that Eastern Europe has largely caught up. Secondly, Eastern Europe suffered a significant loss of traffic after the end of the communist regime, and this may still be resulting in an excess of labour and assets. There is some evidence that this remains the case for labour and freight vehicles. Although the excess of freight vehicles may be largely vehicles out of service, they still contribute to the poor efficiency scores for Eastern Europe. It is also the case that the countries of Eastern Europe suffer some disadvantages in terms of population density. However, we believe that two aspects of policy play an important role in the poorer performance of Eastern European countries compared with Western. Firstly, is the poorer infrastructure quality associated with lower levels of investment. This shows up as less use of electric traction and slower train speeds, resulting in lower productivity of staff and assets. Despite the efforts of the European Commission to overcome this problem, there is still a long way to go. Secondly, is the strong use of public service obligations to maintain high levels of service with relatively low load factors. If it is desired to raise the efficiency of Eastern European railways, governments in Eastern Europe will need to consider whether they are specifying excessively high levels of service.
The prime purpose of this paper was to explore the association among website characteristics (information quality, system quality, perceived security, and visual appearance) and brand love in the airline industry. It also aimed to verify if brand love has a relationship with word of mouth. A questionnaire was utilized for collecting the data from several airline passengers in the UAE. All responses were quantitatively analyzed via PLS-SEM. The findings showed that information quality and system quality positively influence brand love. It was also found that perceived security and visual appearance are positively correlated with brand love. Finally, the analysis verified that brand love has a positive impact on word of mouth. This paper provides valuable implications to the management in the airline industry. Specifically, the results could be useful for marketing practitioners in the industry to devise strategies aimed at minimizing the risks in the online booking context, particularly security aspects to attain greater performance.