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The purpose of this study is to investigate the relationships between exploratory/exploitative innovation and employee creativity in the Chinese context and how these two relationships can be moderated by an important cultural dimension – collectivism.

A theoretical framework was developed to explore the relationships between exploratory/exploitative innovation, employee creativity and collectivism. Data were collected by sending out surveys to managers and employees in various industries in mainland China. Hypotheses were tested using hierarchical regressions.

The results show that both exploratory innovation and exploitative innovation are positively related to employee creativity. Furthermore, collectivism negatively moderates the effects of both types of innovation on employee creativity, despite its positive main effect.

This study explores the relationship between organizational innovation and individual employee creativity in the Chinese context. This paper empirically analyzes the moderating effect of collectivism in the relationship between organizational innovation and employee creativity. It also indicates the factors inherent in Chinese culture that influence innovation and gives explanations from education, subordinate relation, etc.

The purpose of this paper is to focus on how the three elements of paternalistic leadership – authoritarianism, benevolence and moral leadership – affect organizational innovation – both explorative and exploitative innovation – in Chinese enterprises. It also examines the moderating effect of environmental dynamism on the relationship between paternalistic leadership and organizational innovation.

Data on 190 superior–subordinate dyads are collected using questionnaire surveys. The supervisors are recruited from the MBA program in a famous university in the city of Hefei, China, who are also asked to distribute subordinate questionnaires to their subordinates. The hierarchical regression analysis is conducted to test the hypotheses by using SPSS 22.0.

The analysis of 190 superior–subordinate dyads shows that benevolent and authoritarian leadership is positively related to exploratory innovation, while moral leadership has no significant impact on exploratory innovation. The results also reveal that all three elements of paternalistic leadership is, in general, positively correlated with exploitative innovation. Furthermore, environmental dynamism moderates the relationship between paternalistic leadership and innovation. In a dynamic environment, moral leadership has a stronger positive effect on innovation, but only on exploratory innovation; whereas authoritarian leadership exerts more detrimental effects on both exploratory and exploitative innovation.

The current work contributes to understanding the relationship between paternalistic leadership and innovation in the Chinese cultural context by examining the effects of the three elements of paternalistic leadership separately and by showing how these effects can be moderated by environmental dynamism.

The purpose of this paper is to propose a grey clustering evaluation model based on analytic hierarchy process (AHP) and interval grey number (IGN) to solve the clustering evaluation problem with IGNs.

First, the centre-point triangular whitenisation weight function with real numbers is built, and then by using interval mean function, the whitenisation weight function is extended to IGNs. The weights of evaluation indexes are determined by AHP. Finally, this model is used to evaluate the flight safety of a Chinese airline. The results indicate that the model is effective and reasonable.

When IGN meets certain conditions, the centre-point triangular whitenisation weight function based on IGN is not multiple-cross and it is normative. It provides a certain standard and basis for obtaining the effective evaluation indexes and determining the scientific evaluation of the grey class.

The traditional grey clustering model is extended to the field of IGN. It can make full use of all the information of the IGN, so the result of the evaluation is more objective and reasonable, which provides supports for solving practical problems.

Flights are often delayed owing to emergencies. This paper proposes a cooperative slot secondary assignment (CSSA) model based on a collaborative decision-making (CDM) mechanism, and the operation mode of flight waves designs an improved intelligent algorithm to solve the optimal flight plan and minimize the total delay of passenger time.

Taking passenger delays, transfer delays and flight cancellation delays into account comprehensively, the total delay time is minimized as the objective function. The model is verified by a linear solver and compared with the first come first service (FCFS) method to prove the effectiveness of the method. An improved adaptive partheno-genetic algorithm (IAPGA) using hierarchical serial number coding was designed, combining elite and roulette strategies to find pareto solutions.

Comparing and analyzing the experimental results of various scale examples, the optimization model in this paper is greatly optimized compared to the FCFS method in terms of total delay time, and the IAPGA algorithm is better than the algorithm before in terms of solution performance and solution set quality.

Based on the actual situation, this paper considers the operation mode of flight waves. In addition, the flight plan solved by the model can be guaranteed in terms of feasibility and effectiveness, which can provide airlines with reasonable decision-making opinions when reassigning slot resources.

With respect to the multiple-attribute decision-making problem with subjective preference for a certain attribute whose weight-value range have been given over other attributes whose weight values are unknown, a method based on the mean value of the grey number is proposed to analyse the decision-making problem. This method is used to choose a supply-chain partner under the condition that the decision makers have a preference for a certain attribute of various alternatives. The paper aims to discuss these issues.

First, the middle value of the preferred attribute’s weight-value range is supposed to be its weight value according to the content of the mean value of the grey number. Second, to reflect the decision maker’s subjective preference information, an improved optimisation model that requests the minimum deviation between the actual and expected numerical value of each attribute is constructed to assess the attributes’ weights. Third, the correlated degree and the correlation matrix, which are determined by the weight values of all attributes, are used to rank all the alternatives.

This paper provides a method for making a decision when decision makers have a preference for a certain attribute from an array of various alternatives, and the range of the certain attribute’s weight value is given but the weight value of the other attributes is unknown. When applied to supply-chain partner selection, this method proves feasible and effective.

This method is feasible and effective when applied to supply-chain partner selection, and can be applied to other kinds of decision-making problems. This means it has significant theoretical importance and extensive practical value.

Based on the mean value of the grey number, an optimisation model is built to determine the importance degree of each attribute, then the correlated degree of each alternative is combined to rank all the alternatives. This method can suit the decision makers’ subjective preference for a certain attribute well.

The purpose of this paper is to design intelligent robots operating in such dynamic environments like the RoboCup Middle-Size League (MSL). In the RoboCup MSL, two teams of five autonomous robots play on an 18- × 12-m field. Equipped with sensors and on-board computers, each robot should be able to perceive the environment, make decision and control itself to play the soccer game autonomously.

This paper presents the design of our soccer robots, participating in RoboCup MSL. The mechanical platform, electrical architecture and software framework are discussed separately. The mechanical platform is designed modularly, so easy maintainability is achieved; the electronic architecture is built on industrial standards using PC-based control technique, which results in high robustness and reliability during the intensive and fierce MSL games; the software is developed upon the open-source Robot Operating System (ROS); thus, the advantages of ROS such as modularity, portability and expansibility are inherited.

Based on this paper and the open-source hardware and software, the MSL robots can be re-developed easily to participate in the RoboCup MSL. The robots can also be used in other research and education fields, especially for multi-robot systems and distributed artificial intelligence. Furthermore, the main designing ideas proposed in the paper, i.e. using a modular mechanical structure, an industrial electronic system and ROS-based software, provide a common solution for designing general intelligent robots.

The methodology of the intelligent robot design for highly competitive and dynamic RoboCup MSL environments is proposed.

This article aims to explore the connections between tacit knowledge management and the capacity to create new products and services for stimulating organizational performance.

This research utilizes a questionnaire-based study and 378 questionnaires gathered from different provinces of China between August and October 2022. The SmartPLS technique was used to evaluate the regression and mediation analysis on lower-order and higher-order components of the research hypotheses behind the model.

This investigation's results indicate that the tacit knowledge management process (TKMP) significantly drives product and service innovation and impacts organizational performance (ORP). According to the results, TKMP did not directly influence ORP and product innovation to mediate between Tacit knowledge and organizational performance.

Future research should concentrate on different combinations of influences on innovation and other consequences of introducing innovation into businesses. Moreover, researchers may add moderators to innovation and organizational performance.

This study assists managers in how tacit knowledge management affects organisational performance by examining product/service innovation capabilities. Product innovation also mediates between tacit knowledge and organizational performance. Service innovation improves organizational performance, prioritizing knowledge creation, sharing and retention to increase innovation and organizational success.

This study contributes to the literature on tacit knowledge management, innovation capability and organizational performance by concentrating on the tacit knowledge process and using the resource-based view. This study gives a solid theoretical and practical basis for understanding the component interactions.

The purpose of this paper is to provide a micro historical account of the work of a key Chinese educational reformer, Tao Xingzhi (1891–1946), who transformed educational ideas from John Dewey to effect social and cultural change in 1920s–1940s China.

This paper examines English and Chinese language sources, including Tao’s poetry, to present a fresh analysis of Tao’s epistemological life history. It draws upon transnational historical approaches to chart the multidirectional circulation of progressive education philosophies around the globe. It also explores some conceptual dimensions of Chinese historical thinking and historiographical strategies.

Tao Xingzhi engaged in critical intercultural knowledge exchange in implementing educational reforms in China. He blended and critiqued Chinese and Deweyian educational philosophies to create unique educational reform, which involved reversing some of Dewey’s approaches as well as adapting others.

This paper foregrounds Tao Xingzhi’s agency in transforming some of Dewey’s ideas in the Chinese context and challenges studies that adopt an “impact-response” approach to Tao’s contribution, which suggest a one-way flow of knowledge from a “modern” West to a “traditional” China. It brings hitherto unexplored Chinese language sources to an English-speaking audience, particularly Tao’s poetry, to gain new historical insights into Tao’s educational reforms. It contributes to transnational understandings of the multidirectional flows of knowledge about Progressive educational philosophies around the world.