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The purpose of this paper is to define the concept of guanxi deviant behaviour (GDB) initially on the basis of a theoretical study of guanxi, guanxi behaviour and workplace deviant behaviour and to analyse the influence of GDB and the relationship between GDB and counterproductive work behaviour.

This study collects interview data from 30 enterprise executives, summarises relevant literature from four major databases (two in English and two in Chinese) and applies a grounded theory methodology to refine and further define the core category of GDB, and the main category is interpreted and validated using triangulation.

The three dimensions of GDB are guanxi bribery behaviour, irregular connected transaction behaviour and guanxi allied behaviour. There are links amongst the three dimensions, no dimension has an independent existence and that is not the end of the GDB issue. Generally, the occurrence of a kind of GDB can be construed to be a preparation for the implementation of another kind, and the latter is the real purpose of the perpetrators.

This paper is expected to attract the attention of managers and improve the ability of recognising, preventing and punishing GDB.

This study not only enriches organisational behaviour theory but also enhances the awareness of, and insights into, the negative effects of guanxi.

This paper aims to analyze the inhibitory effect of non-controlling shareholders governance mechanism on the retention of self-interest management, which provides theoretical support and practical basis for standardizing the control transfer behavior of listed companies and improving the governance mechanism of non-controlling shareholders.

Taking A-share listed companies with control transfer from 2000 to 2017 as sample, this paper investigates the strategy, path and retention consequence of the target company’s market selected top management who collude with the new controlling shareholder to avoid the risk of being taken over by control transfer.

This research explores that negative earnings management behavior may reduce the real premium of control transfer after deducting the “shell value”. The lower the real premium of control transfer after deducting the “shell value”, the higher the probability of management retention after control transfer. This paper also reveals that the real premium of control transfer after deducting the “shell value” plays complete mediation role between the negative earnings management behavior of the management and their own retention. The mediation effect of “collusion and price reduction” in the control transfer will be inversely moderated by the governance mechanism of noncontrolling shareholders including the old shareholders of the seller.

This paper not only constitutes a supplement to the existing literature but also provides empirical evidence for standardizing the control transfer behavior of listed companies, and making good use of the old shareholders of the seller to improve corporate governance and alleviate agency conflict after control transfer.

Literature shows that environmental change would profoundly influence residents' emotional ties with their community. This study attempts to further the examination by probing into the relationship between perceived ecological change and place attachment at a small-island destination where tourism has become a heavyweight business and transformed the living quality of locals. The survey questionnaires are distributed to the residents of the study site Kinmen archipelago in Taiwan. The resultant data illustrate that age, occupation, the town of residence, house ownership, and the length of residence moderate the resident's place attachment. Besides, from a result of regression analysis, the perception of rapid community development reveals a positive relationship with the level of place attachment. This study suggests timely strategies enticing younger residents' place attachment along with other managerial actions, helping invigorate the community living.

The purpose of this paper is to provide an overview of China's contemporary banking regulatory system, with particular focus on regulatory control of foreign banks trading in China. The paper addresses three aspects of Chinese banking regulation: what does China regulate; why does China regulate; and how does China regulate. Much of the discussion is concerned with China's regulatory agencies particularly with the role of the CBRC as the principal regulator in China's banking sector.

In the first instance the paper presents an overview of banking regulatory models gained from a review of theoretical literature in the area. Then through a wide ranging review of Chinese publications, both academic and official, the paper seeks to relate the course of regulatory reform in China, both in terms of compliance with orthodox regulatory theory, and the unique regulatory requirements of the Chinese banking system.

The paper recognises that China has embraced the need for banking regulation with the establishment of an institutional structure that is responsive to both banking supervision and government policy. Within that structure the role of the CBRC, the pervasive manner in which that agency operates, and the content of its regulatory output have been identified and critically reviewed.

In its review of the modernization of China's banking regulatory system, the paper achieves originality from the author's research into, and critical reflections on Chinese generated literature, both institutional and academic, which is then communicated in a manner that will be understood by readers familiar with Western banking regulatory theory.

Owing to the excellent performance, giant magnetostrictive materials (GMMs) are widely used in many engineering fields. The dynamic Jiles–Atherton (J-A) model, derived from physical mechanism, is often used to describe the hysteresis characteristics of GMM. However, this model, despite cited by many different literature studies, seems not to possess unique expressions, which may cause great trouble to the subsequent application. This paper aims to provide the rational expressions of the dynamic J-A model and propose a numerical computation scheme to obtain the model results with high accuracy and fast speed.

This paper analyzes different published papers and provides a reasonable form of the dynamic J-A model based on functional properties and physical explanations. Then, a numerical computation scheme, combining the Newton method and the explicit Adams method, is designed to solve the modified model. In addition, the error source and transmission path of the numerical solution are investigated, and the influence of model parameters on the calculation error is explored. Finally, some attempts are made to study the influence of numerical scheme parameters on the accuracy and time of the computation process. Subsequently, an optimization procedure is proposed.

A rational form of the dynamic J-A model is concluded in this paper. Using the proposed numerical calculation scheme, the maximum calculation error, while computing the modified model, can remain below 2 A/m under different model parameter combinations, and the computation time is always less than 0.5 s. After optimization, the calculation speed can be enhanced with the computation accuracy guaranteed.

To the best of the authors’ knowledge, this paper is the first one trying to provide a rational form of the dynamic J-A model among different citations. No other research studies focus on designing a detailed computation scheme targeting the fast and accurate calculation of this model as well. And the performance of the proposed calculation method is validated in different conditions.

This paper aims to develop a signal acquisition system of surface electromyography (sEMG) and use the characteristics of (sEMG) signal to interference action pattern.

This paper proposes a fusion method based on combining the coefficient of AR model and wavelet coefficient. It improves the recognition rate of the target action. To overcome the slow convergence speed and local optimum in standard BP network, the study presents a BP algorithm which combine with LM algorithm and PSO algorithm, and it improves the convergence speed and the recognition rate of the target action.

Experiments verify the effectiveness of the system from two aspects the target motion recognition rate and the corresponding reaction speed of the robotic system.

The study developed a signal acquisition system of sEMG and used the characteristics of (sEMG) signal to interference action pattern. The myoelectricity integral values are presented to determine the starting point and end point of target movement, which is more effective than using single sample point amplitude method.

Artificial intelligence (AI) has been widely used as a financial technology (fintech) in the mobile banking (M-banking) domain. However, in the literature, how AI affects users' perceptions of social support and the users' satisfaction and continuance intention (CI) remains unknown. To fill this gap, the two core characteristics of AI, perceived intelligence (PI) and perceived anthropomorphism (PA), are combined with social support theory (SST) (including informational support (IS) and emotional support (ES)) to develop a research model to investigate how PI and PA affect IS and ES, which in turn affect users’ M-banking satisfaction and CI.

This study adopted a random probability sampling method to collect a total of 360 valid responses to verify the proposed model. Partial least squares (PLS) was employed for data analysis.

The results showed that PI and PA both have a significant positive impact on consumers' perception of social support (IS and ES). IS was a direct driver of satisfaction and CI. Surprisingly, although ES was positively associated with satisfaction, the study found that higher levels of ES will decrease CI. This study exposed how AI affects consumers’ satisfaction and CI through SST, and the role of AI in M-banking applications has been further confirmed.

This study expanded the SST to creatively integrate with AI features to reveal the impact of PI and PA on IS and ES, which in turn influence users' M-banking usage.

Due to the importance of quality to customers, this study considers criteria of quality and profit and optimizes both in a multi-echelon cold chain of perishable agricultural products whose quality immediately begins to deteriorate after harvest. The two objectives of the proposed cold chain are to maximize profit and quality. Since postharvest quality loss in the supply chain depends on various decisions and factors, in addition to strategic decisions, the authors consider the temperature setting in refrigerated facilities and transportation vehicles due to the unfixed shelf life of the products which is related to the temperature found by Arrhenius formula.

The authors use bi-objective mixed-integer nonlinear programming to design a four-echelon supply chain. The authors integrate the supply chain echelons to detect the sources and factors of quality loss. The four echelons include supply, processing, storage and customer. The decisions, including facility location, assigning nodes of each echelon to corresponding nodes from the adjacent echelon, allocation of vehicles to transport the products from farms to wholesalers, processing selection, and temperature setting in refrigerated facilities, are made in an integrated way. Model verification and validation in the case study are done based on three perishable herbal plants.

The model obtains a 29% profit against a total cost of 71 and 93% of original quality of the crops is maintained, indicating a 7% quality loss. The final quality of 93% is the result of making a US$6m investment in the supply chain, including the procurement of high-quality raw materials; facility establishment; high-speed, high-capacity vehicles; location assignment; processing selection and refrigeration equipment in the storage and transportation systems, helping to maximize both the final quality of the products and the total profit.

The proposed supply chain model should help managers with modeling decisions, especially when it comes to cold chains for agricultural products. The model yields these results – optimal location-allocation decisions for the facilities to minimize distances between the network nodes, which save time and maintain the majority of the products’ original quality; choosing the most appropriate processing method, which reduces the perishability rate; providing high-capacity, high-speed vehicles in the logistics system, which minimizes transportation costs and maximizes the quality; and setting the right temperature in the refrigerated facilities, which mitigates the postharvest decay reaction rate of the products.

Comparison of the results of the present research with those of the traditional chain (obtained through experts) shows that since the designed chain increases the profit as well as the final quality, it has benefits for the main chain stakeholders, which are customers of agricultural products. This study model is expected to have a positive impact on the environment by placing strong emphasis on quality and preventing excessive waste generation and air pollution by imposing a financial penalty on extra demand production.

Since profit and quality of the final product are two important factors in all cultures and communities, the proposed supply chain model can be used in any food industry around the world. Applying the proposed model induces growth in local industries and promotes the culture of prioritizing quality in societies.

To the best of the authors’ knowledge, this is the first research on a bi-objective four-echelon (supply, processing, storage and customer) postharvest supply chain for agricultural products including that integrates transportation logistics and considers the deterioration rate of products as a time-dependent variable at different levels of decision-making.

This study aims to develop a novel theoretical model for predicting the users’ intention to use virtual tools designed for construction risk evaluation. Risk evaluation is a vital objective for construction managers. This paper intends to examine critical factors such as potential benefits, motivation, performance expectancy and rich sources of information that may affect users’ intention to use virtual technology.

A pile training module (PTM) was developed in a virtual environment to analyze the proposed virtual reality-technology acceptance model (VR-TAM) factors. Further, a questionnaire survey was conducted with the participation of 102 construction professionals in China to validate the proposed VR-TAM model and PTM tool. The retrieved data was computed to test the proposed model by using partial least squares structural equation modeling and the significance of the PTM tool in a virtual environment.

The results of this study reveal that high-significance paths represent five relationships between crucial factors affecting users’ intention to use a selected virtual reality (VR) module. Five of seven hypothesis paths were significant with acceptable t-values. By quantitative measurement of high-significance paths, this research has found that each factor under VR-TAM has received significant loadings, with many above the 0.7 threshold mark and others around 0.6. The top factors include “motivation” and “benefits” and have multiplier effects on “intention to use” as the source factors.

The finding of this study presents crucial factors for VR adoption, and the proposed VR-TAM model contributes to the body of knowledge toward managing construction risk using pre-optimization and understanding in a virtual environment. This study supports Chinese construction company managers in effectively using VR technology in their construction projects for risk assessment and management.

This study offered the development of a novel VR-TAM integrated with risk assessment techniques for piling processes. Further, the developed model was analyzed by using a survey of Chinese construction professionals to collect perceptions about the modified theoretical model of VR-TAM.