Intercultural Communication Strategies in Diplomatic Relations: A Case Study of Donald Trump’s First Visit to China

This paper explores the intercultural communication strategies adopted respectively by Chinese President Xi Jinping and United States’ President Donald Trump during the latter’s first state visit to China. Based on Hofstede’s theory of cultural dimensions and Hall’s theory of high-low context, the author makes an analysis of the strategies and concludes that high-low cultures will not constitute the barriers for communications between different countries with different cultures, and further points out that intercultural communication strategies in diplomatic relations, on the one hand, are embodiment of cultural dimensions, and on the other hand, are determined by leader personality, national strength and demand for interest

Assessment of Express Delivery Service Based on SERVQUAL Model

With the rapid development of electronic commerce, the public demand for express delivery is increasing, however, there are still lack of service quality and high service complaint ratein the process of rapid development. Based on the SERVQUAL model, this paper analyzes the current situation of the whole express service industry quality, From five aspects: tangibles, reliability, responsiveness, assurance, empathy , constructs the express service quality model based on the SERVQUAL model, and use the integration of AHP and fuzzy comprehensive evaluation to evaluate the model construction. Finally, this paper takes the express company as an example to make an empirical study, and puts forward the corresponding improvement strategy.The research has an important reference value for the improvement of the service quality of the major express delivery companies

Research on Logistics Service Quality Improvement Based on A-KANO Model: An Application of Express Industry in China

Literatures indicate that service management has become a strategic issue for companies in the new millennium. By improving logistics service quality (LSQ), logistics companies can increase customer satisfaction (CS) and gain market shares. This study aims to establish a logistics service attributes analysis model to extract customer knowledge for logistics service quality improvement based on analytical Kano (A-Kano) model. By the building of Kano quantitative satisfaction index and importance index, an objective classification method and the decision-making rule to improve LSQ are proposed. It can be seen from the results that different value propositions should be given to LSQ attributes among the same Kano classification according to the decision index. At last, the method has been demonstrated by means of a real case application, which refers to a Chinese express company

User Roles in Virtual Community of Crowdsourcing for Innovation: A Case Study of Xiaomi MIUI in China

Crowdsourcing innovation, as a new innovation pattern, helps companies reduce the risks and costs of innovation, which has received widespread attention and practical application. What is critical for improving crowdsourcing innovation performance is to understand the heterogeneity of participating users deeply, guide and motivate users to participate actively. Based on the typical characteristics of crowdsourcing innovation communities, this paper proposes a model integrating social network analysis (SNA) & K-means clustering algorithm to identify participants’ roles and conducting empirical research with Xiaomi MIUI community. The result indicates that users can be divided into nine categories: active user, positive user, negative user, bystander, creative contributor, faithful supporter, tourist, and new participant. In order to provide decision support for enterprises to govern crowdsourcing innovation virtual community effectively and improve innovation performance, this paper analyses the behavioural characteristics of each user role from two dimensions: interaction behaviour and contribution behaviour

Pose Adjusting Simulation of Hydraulic Support Based on Mechanical-Electrical-Hydraulic Coordination

The pose variations of the hydraulic support have significant influence on its performance. And the pose adjusting operations are required to be fast and precise, while they have typical mechanical-electric-hydraulic coordination characteristics which are challenging to simulate. In view of these problems, a method has been proposed in this work for accurately monitoring and controlling the pose of the hydraulic support, and using a suitable multi-software co-simulation model to simulate it. A mathematical model for pose monitoring and control was initially established.A teaching-learning-based optimization algorithm (TLBO) was then introduced to obtain the numerical solution of the nonlinear equations.Finally, a numerical model based on mechanical-electrical-hydraulic co-simulation was established. The model was tested and validated by using different pose signals. The results indicate that the pose controller developed in this paper can control the support pose well (iteration time less than 1 s and cumulative error less than 1.5 mm). Moreover, the multi-software co-simulation approach was effective for describing the complex system. The co-simulation platform proposed in this study can benefit the virtual monitoring technology for hydraulic supports.The research provides theoretical basis and technical guidance for the automation and unmanned control of underground mining

Integrating fuzzy theory into Kano model for classification of service quality elements: a case study of machinery industry in China

Purpose: The purpose of study is to propose and verify a method of service quality elements classification through integrating fuzzy theory into Kano model. The method has the merit of being more effective in processing customers’ psychology of vagueness and uncertainties than traditional Kano model. Design/methodology/approach: In this study, considering the disadvantages of traditional Kano model in service quality elements classification without taking into account customers’ complex consuming psychology, and combining with fuzzy theory which is effective to cope with uncertainty and ambiguity, a new framework of integrating fuzzy theory into Kano model in quality elements classification is proposed. In view of the strong subjectivity of traditional Kano questionnaires, a fuzzy Kano questionnaire considering the evaluators’ multi-feelings is proposed. Furthermore, this study will also develop a mathematical calculation performance according to the classification of fuzzy Kano model. With this method, the accurate mentality can be fully reasonable reflected in some unknown circumstances. Finally, an empirical study in Xuzhou Construction Machinery Group Co., Ltd, the largest manufacturing industry in China, is showed to testify its feasibility and validity. Findings: The calculation results and the application effect show that the proposed model has good performance in classifying customer requirements. With this method, the accurate mentality can be fully reasonable reflected in unknown circumstances and it is more objective than traditional Kano model to classify the service quality elements. Originality/value: This study provides a method to integrate fuzzy theory and Kano model, and develops a framework to classify service quality elements.Peer Reviewe