Forthcoming and Online First Articles

International Journal of Chinese Culture and Management

International Journal of Chinese Culture and Management (IJCCM)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Chinese Culture and Management (4 papers in press)

Regular Issues

  • UAV aided fruit picking strategy for emergency harvesting   Order a copy of this article
    by Shuping Pang, Jun Yang, Guilu Lu, Xuan Wang, Yunpeng Wang, Junhao Geng, Huibo Bi 
    Abstract: The COVID-19 pandemic has introduced a new type of emergency situation which features the long lasting nature and rigid restrictions in human activities. In agriculture, the pandemic has severely restricted the fruit harvesting activities due to their labour-intensive characteristic. Hence, in this paper, we proposes an unmanned aerial vehicles aided approach to speed up the fruit picking process in both normal and emergency situations (such as the current COVID-19 pandemic or extreme weather conditions). The fruit picking process is modelled as an assignment problem and the time cost in both travelling and picking actions is taken into consideration. The simulation results show that the proposed algorithm remarkably improves the efficiency of the fruit picking process.
    Keywords: fruit harvesting; unmanned aerial vehicles; assignment problem; simulation of urban mobility; SUMO.
    DOI: 10.1504/IJCCM.2022.10049571
  • Designing of intersection driving behaviours based on reward points in congestion-induced emergency situations   Order a copy of this article
    by Dexian Zeng, Wen-Long Shang, Huibo Bi 
    Abstract: With the ubiquity of portable smart devices, the perception, calculation, and communication capabilities of drivers have been greatly improved, and they have gradually changed from the pure service object of the transportation system to co-decision-makers. Therefore, this paper proposes an intersection-targeted driving behaviour optimisation mechanism by encouraging drivers to conduct the traffic flow ratio changing tasks in exchange for reward points. We first formalise compliance rate-reward value functions by using a number of questionnaire-based surveys. Then we employ a reinforcement learning model to optimise the traffic flow ratios at intersections of a road network, and publish reward gaining tasks to dynamically optimise the traffic flow ratios based on the current traffic flow ratios and the number of vehicles at the intersections. The experimental results show that the introduction of points-based rewards can effectively improve the traffic efficiency at intersections.
    Keywords: points based reward; driving behaviour optimisation; reinforcement learning; Simulation of Urban MObility; SUMO.
    DOI: 10.1504/IJCCM.2022.10051068
  • A mobile application enabled emergency routing algorithm for large-scale events   Order a copy of this article
    by Wenhao Li, Kang Kai, Huibo Bi, Yanyan Chen 
    Abstract: Scenic spots have gradually become the research hotspot of passenger flow optimisation because of the diversity of passenger flow aggregation, the complexity of passenger flow temporal and spatial characteristics, the frequent occurrence of congestion events, and the weak resilience in emergencies. Since one of the main reasons for traffic congestion and safety issue in scenic spots is the concentrations on popular routes and attractions, especially in emergency situations. Therefore, the passenger flows can be optimised due to the fact that different people could have different needs in route selections. Thus, this paper designs a path selection and destination guidance algorithm based on random neural networks to provide safe routes in emergencies during large-scale sporting events. This algorithm selects different types of paths for different types of personnel, and can recommend destinations according to environmental conditions and personnel needs. In addition, a mobile application based scenic spot service system is established to conduct path planning, scenic spot guidance and emergency services for different types of personal.
    Keywords: random neural networks; route planning; destination guidance; emergency navigation.

  • Chopsticks philosophy: Confucianism on the work ethic of East Asian nations   Order a copy of this article
    by Yusida Lusiana, Dyah Tjaturrini, Nunung Supriadi, Heri Widodo 
    Abstract: Chopsticks are one of the tableware of the cultural characteristics of the East Asian people to communicate the work ethic they have through the philosophy of life behind the pair of sticks. Through the literature study method, this paper discusses how the business ethic of the East Asian Nation can be explored through culinary culture with chopsticks as the medium. The results show that the physical characteristics of chopsticks are based on the teachings of Confucius, namely: 1) chopsticks come in sets of two that representing Tai Chi, yin-yang, Confucian virtue's benevolence (Ren) concepts; 2) similarity in shape, length, symbolises harmony, equality and teamwork; 3) chopsticks shape is timeless is a reflection of loyalty and filial piety as the core ethical values of Confucianism. Confucianism through chopsticks emphasises the importance of benevolence and gentleness in business, as a result urging us not to compromise our partners for our own goals.
    Keywords: chopsticks cultural sphere; Confucianism; East Asian nation; work ethic.