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Urban planning is the blueprint for the development of urban construction and the basis for management of a city. The urban planning of China’s high-speed modernization has encountered many bottlenecks, and the gap between the daily living needs of residents and the urban planning objectives has attracted particular attention. Harmonious development between man and nature is necessary to build a harmonious society, and urban planning that is close to the needs of residents and more humanized has become the main goal of urbanization. In this paper, urban planning of Zhuhai City was studied for one year. Zhuhai focuses on building transport hub, industrial layout, and urban development in three major patterns. Many problems in the planning and management of Zhuhai City were encountered in the past, because the plans are only heavy concepts that ignore implementation and lack of comprehensive survey. Based on the concept of communication planning, the main features of the public participation in the urban planning model through modern mass media may be suitable for achieving the objectives and satisfying public needs. Urban planning and decision-making in Zhuhai City in recent years are evaluated by SWOT method. Future plans of Zhuhai City are discussed.

Fixtures and feeders are important components of automated assembly systems: fixtures accurately hold parts and feeders move parts into alignment. These components can fail when part shape varies. Parametric tolerance classes specify how much variation is allowable. In this paper we consider fixturing convex polygonal parts using right‐angle brackets and feeding polygonal parts on conveyor belts using sequences of vertical fences. For both cases, we define new tolerance classes and give algorithms for computing the parameter specifications such that the fixture or feeder will work for all parts in the tolerance class. For fixturing we give an O(1) algorithm to compute the dimensions of rectangular tolerance zones. For feeding we give an O(n²) algorithm to compute the radius of the largest allowable tolerance zone around each vertex. For each, we give an O(n) time algorithm for testing if an n‐sided part is in the tolerance class.

Higher market complexity and increasing competitive intensity are forcing traditional trading companies to change their positions in the goods delivery services supply chain by continuously extending the service business through interaction with customers. However, the existing literature tends to be somewhat vague in defining interaction behaviors with different customers and a service strategy for the service integrator wishing to move along the continuum. The purpose of this paper is to identify service strategies that correspond with specific customer demands.

Using multiple methodologies and data sources, the study highlights three different service strategies including resources supply capability, demand management and strategy fit with buys.

The study finds that these strategies have different impacts on competitiveness for different types of downstream enterprises. For large enterprises, resources supply capability and strategy fit are significant factors – while for small and medium‐sized enterprises, resources supply capability, as well as demand management play an important role to supplier's competitiveness.

Based on the research, the paper draws the conclusion that it is important to understand the buyer's demand and offer the service that the buyer really needs.

Decision-making is one of the key technologies for self-driving cars. The high dependency of previously existing methods on human driving data or rules makes it difficult to model policies for different driving situations.

In this research, a probabilistic decision-making method based on the Markov decision process (MDP) is proposed to deduce the optimal maneuver automatically in a two-lane highway scenario without using any human data. The decision-making issues in a traffic environment are formulated as the MDP by defining basic elements including states, actions and basic models. Transition and reward models are defined by using a complete prediction model of the surrounding cars. An optimal policy was deduced using a dynamic programing method and evaluated under a two-dimensional simulation environment.

Results show that, at the given scenario, the self-driving car maintained safety and efficiency with the proposed policy.

This paper presents a framework used to derive a driving policy for self-driving cars without relying on any human driving data or rules modeled by hand.

This paper aims to recognize whether government policy supervision or social network platform supervision can effectively promote the control of misconducts of web celebrity brand eWOM marketing and to identify the key factors influencing the unhealthy web celebrity marketing environment.

Theoretical research was employed to develop a practical approach for applying evolutionary game theory to eWOM marketing controlling strategies modeling via dynamic visualization, systematic simulation experiments.

Evolutionary game theory combined with dynamic simulation modeling can provide a formal approach to understanding web celebrity brand eWOM marketing decision-making in social media, which can thus support the control of unhealthy web celebrity marketing environment. The results demonstrate that the reasonable control of social platform control costs may be more effective than the government policy on web celebrity fake brand eWOM marketing behaviors.

The study enriches the research on the management and control of eWOM marketing as well as provides guidance for the sustainable development of the web celebrity economy in social media.

This paper traces the incorporation of western educational histories in the development of normal-school curricula during the late Qing Dynasty and the Republic of China (1901–1944). It uses publication networks to show how the study of comparative educational history facilitated the international circulation of knowledge in the teaching profession, and how the “uses” of educational history were shaped by larger geopolitical forces.

This paper analyzes the international exchange of texts between normal schools in China and Japan and, subsequently, between normal schools in China and the United States. A database of 107 publications in the field of western educational history that were adopted in China reveals specific patterns of textual citation, cross-reference, and canon-formation in the field of educational historiography.

With conclusions derived from a combination of social network analysis and clustering analysis, this paper identifies three broad stages in China's development of normal-school curricula in comparative educational history: “Japan as Teacher,” “transitional period” and “America as Teacher.”

Statistical analysis can reveal citation and reference patterns but not readers' understanding of the deeper meaning of texts – in this case, textbooks on the subject of western educational history. In addition, the types of publications analyzed in this study are relatively limited, the articles on the history of education in journals have not become the main objects of this study.

This paper uses both quantitative and qualitative methods to uncover the transnational circulation of knowledge in the field of comparative educational history during its formative period in China.

This paper aims to verify the effect of organizational learning (OL) and two specific aspects of innovation, innovation speed and innovation quality, on competitive advantage.

Structural equation modeling has been applied to test the degree of influence of OL and innovation on two types of competitive advantage (differentiation and low-cost advantage) using data collected from 279 Chinese firms.

The findings show that innovation speed and quality play mediating roles in the relationship between OL and competitive advantage. In general, while innovation speed has greater effects on low-cost competitive advantage, OL and innovation quality have greater effects on differentiation competitive advantage.

This paper offers directors/managers a deeper understanding of the factors necessary to promote competitive advantage in their firms.

This paper offers CEOs/managers a deeper understanding of the necessary factors needed to promote competitive advantage in their firms.

This paper provides practical and theoretical initiatives on innovation and competitive advantage that can be used to promote specific aspects of innovation and build up competitive advantage for relevant organizations.

The purpose of this paper is to combine triboelectric nanogeneration technology with ball bearing structure to achieve energy collection and fault monitoring.

In this paper, according to the rotation mode of ball bearings, the freestanding mode of triboelectric nanogeneration is selected to design and manufacture a novel triboelectric nanogeneration device Rolling Ball Triboelectric Nanogenerator (RB-TENG) which combines rotary energy collection with ball bearing fault self-sensing.

The 10,000s continuous operation experiment of the RB-TENG is carried out to verify its robustness. The accurate feedback relationship between the RB-TENG and rotation velocity can be demonstrated by the fitting comparison between the theoretical and experimental electrical signal periods at a certain time. By comparing the output electrical signals of the normal RB-TENG and the rotor spalling RB-TENG and polytetrafluoroethylene (PTFE) balls with different degrees of wear at 500 r/min, it can be concluded that the RB-TENG has an ideal monitoring effect on the radial clearance distance of bearings. The spalling fault test of the RB-TENG stator inner ring and rotor outer ring is carried out.

Through coupling experiments of rotor spalling fault of the RB-TENG and PTFE balls fault with different degrees of wear, it can be seen that when rotor spalling fault occurs, balls wear has a greater impact on the normal operation of the RB-TENG, and it is easier to identify. The fault self-sensing ability of the RB-TENG can be obtained, which is expected to provide an effective scheme for monitoring the radial wear clearance distance of ball bearings.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-08-2024-0295/