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This study aims to focus on the authority formation process of Chinese enterprise leaders, with the purpose of finding out how an ordinary newly established firm leader develops into a real top leader and achieves the status of legitimacy in a well-known enterprise.

Based on constructivist grounded theory, this paper investigates the formation mechanism of entrepreneurial authority in China by using the rich data of Liu Chuan-zhi’s leader activities.

In the “evolution” path of authority formation, leaders continually consolidate and improve their authority through two classes of exceptional management activities: “emergency rescue” and “promotion activities”. The successful realization of exceptional management activities benefits from a leader’s management experience accumulation and relationship maintenance with the government. In the “design” path of authority formation, leaders consolidate and improve their authority by exercising their position of power. Leaders’ legitimacy is reflected by making strategic decision and demonstrating discretion of position power. Additionally, passing on an inspiring leader’s thoughts and ideas to an organization’s members is accomplished through the construction of organization culture, institutionalization and convention.

First, the findings are based on only Liu Chuan-zhi’s case. The authors still need more cases to compare and develop the findings and seek theoretical saturation in a broader sense. Second, the qualitative analysis is based on secondary data and future research could consider the introduction of interviews, video and other types of research data.

Under the parallel paths which are “evolution” and “design”, the dynamic leader authority formation model in China is founded.

Understanding user behavior is increasingly critical for information security in the use of smartphones. There is, however, lack of empirical studies about the behavior of smartphone users for information security in China. The purpose of this paper is to present an empirical analysis of the behavior of smartphone users in China in relation to information security.

A review of the related literature is conducted, leading to the development of a questionnaire for investigating the behavior of smartphone users. An online survey of the smartphone users in China is conducted. The collected data are analyzed with the use of descriptive analysis and Pearson’s chi-square test to better understand the behavior of smartphone users on information security.

The paper shows that there are serious concerns about information security in the use of smartphones in China including the ignorance of security information in downloading and using applications, inadequate phone settings, inappropriate enabling of add-on utilities and lack of proper disaster recovery plans. The study also reveals that there is a significant difference between different groups of users on information security in smartphone use.

This paper is based on a purposeful sample of smartphone users in China. It is exploratory in nature.

The paper can lead to a better understanding of the behavior of smartphone users and information security in China and provide relevant government departments and institutions with useful information for developing appropriate strategies and policies and designing specific training programs to improve information security in the smartphone use.

This paper is the first of this kind to collect quantitative data from users in China for better understanding the behavior of smartphone users on information security. It provides insight towards the adoption of various measures for information security from the perspective of smartphone users in China.

Prosocial lending in online crowdfunding has flourished in recent years, and it has become a new way to fundraise for philanthropy. However, there is almost a 70% user attrition rate in crowdfunding. The purpose of this study is to understand what the lender’s lending experience and social connection influence lender retention of online prosocial lending from a self-determination perspective.

Drawing on self-determination theory (SDT), this research utilizes a quantifiable method for factors of the lender's lending experience and social connection. Additionally, the research constructs economic models to explore the impacts of these factors acting as the necessary conditions for basic psychological needs on lender retention, using a large-scale sample of over 380,000 lenders from Kiva.

The results indicate that, from the lender's lending experience aspect, the loan narratives with more profit language in the last lending and the failure of past participation are negatively related to lender retention. Regarding the lender's social connection aspect, their friends or small lending teams are positively related to lender retention, while whether they are invited and lending team size show negative influence. Furthermore, results indicate the moderating effects of the disclosure of lending motivation.

This research explores the mechanism of lender retention of online prosocial lending, providing a self-determination perspective about how previous experience influences long-term lending behavior. The study offers significant implications for the literature on online philanthropy, SDT and user retention of online platforms. At the same time, the study provides an understanding of the effects of different aspects of SDT.

With the development of materials science and technology, composite workpieces are increasingly used. This paper aims to discuss a non-destructive testing (NDT) solution for semi-enclosed composite workpieces. A dual-robot system with one robot that grips an irregular-shaped ultrasonic probe (tool) is established.

According to robotics, this paper defines the orientations of the discrete points coordinate frames in trajectory and proposes an orientation constraint rule between the tool coordinate frame and the scanning trajectory. A four-posture calibration method for calibrating the transformation relationship of the irregular-shaped tool frame relative to the robot flange frame is presented in detail.

Calibration and verification experiments were performed, and good-quality C-scan images were obtained by applying the constraint rule and the calibration method. Experimental results show that the calibration method used to determine the tool centre point (TCP) position is correct, effective and efficient; the TCP orientation constraint rule can ensure the extension pole of the irregular-shaped ultrasonic probe is parallel to the axis of the semi-enclosed cylindrical workpieces; and the ultrasonic transducer axis is perpendicular to the surface of the workpiece.

This paper proposes a constraint method for the posture of an irregular-shaped tool in this scheme. Theoretical foundations for the four-posture calibration method of the irregular-shaped tool for dual-robot-assisted ultrasonic NDT are presented in detail. This strategy has been successfully applied in the NDT experiment of semi-enclosed composite workpieces.

This study aims to investigate how high-speed railway (HSR) development affects urban construction investment (UCI) bond yield spreads based on China’s background.

This study constructs a quasi-natural experiment and adopts regression analyses to empirically examine the relation between HSR development and UCI bond yield spreads. The empirical analysis is based on a Chinese sample of 15,109 bond offering observations from 2008 to 2019.

The results show that HSR development reduces UCI bond yield spreads. Mechanistic analysis shows that HSR development increases land prices and the level of urbanization, which in turn lowers the UCI bond yield spreads. In addition, the impact of HSR development on UCI bond yield spreads is more significant at higher marketization levels and lower degrees of dependence on land finance cities where UCI corporations are located.

The results imply that transportation infrastructure improvement, such as HSR development, helps to enhance the credit of local governments and the solvency of UCI corporations and ultimately reduces the financing cost of UCI bonds.

This paper provides theoretical support and empirical evidence for the impact of transportation infrastructure construction on the implicit debt risks of local governments in China, which enriches the research on the “HSR economy” from a micro perspective and expands the research on the influencing factors of local governments’ debt risk.

The purpose of this chapter is to optimize multi-criteria formulation for green vehicle routing problems by mixed integer programming. This research is about the road freight transportation of a Spanish company of groceries. This company has more power in the north of Spain and hence it was founded there. The data used for the computational experiments are focused in the northern region of Spain. The data have been used to decide the best route in order to obtain a minimization of costs for the company. The problem focused on the distance traveled and the altitude difference; by studying these parameters, the best solution of route transportation has been made. The software used to solve this model is CPLEX solver with AMPL programming language. This has been helpful to obtain the results for the research and some conclusions have been obtained from them.

Purpose — This study proposes an optimal survey design method for multi-day and multi-period panels that maximizes the statistical power of the parameter of interest under the conditions that non-linear changes in response to a policy intervention over time can be expected.

Design/methodology/approach — The proposed method addresses balances among sample size, survey duration for each wave and frequency of observation. Higher-order polynomial changes in the parameter are also addressed, allowing us to calculate optimal sampling designs for non-linear changes in response to a given policy intervention.

Findings — One of the most important findings is that variation structure in the behaviour of interest strongly influences how surveys are designed to maximize statistical power, while the type of policy to be evaluated does not influence it so much. Empirical results done by using German Mobility Panel data indicate that not only are more data collection waves needed, but longer multi-day periods of behavioural observations per wave are needed as well, with the increase in the non-linearity of the changes in response to a policy intervention.

Originality/value — This study extends previous studies on sampling designs for travel diary survey by dealing with statistical relations between sample size, survey duration for each wave, and frequency of observation, and provides the numerical and empirical results to show how the proposed method works.

Industry–university–research cooperation (IURC) is a crucial way to build an innovative country. How to improve the effectiveness of IURC has become an important issue to be solved urgently.

This paper studies the data of industry, university and research activities in various regions of China from 2016 to 2018 and analyzes the impact mechanism of innovation input and open innovation environment on the effectiveness of IURC based on innovation value chain theory.

This research finds that innovative talent input has an inverted U-shaped impact on the effectiveness of IURC. When there are more innovative funds invested, the marginal effect of IURC will decrease. When innovative talent input exceeds a certain value, the open innovation environment can alleviate the positive marginal effect of its decline.

This paper contributes to the literature and provides practical guidelines for improving the efficacy of IURC.

The purpose of this paper is to unveil the efficacy of coaching leadership within Chinese organizations and bolster employees’ work engagement.

The sample data were collected through employing the questionnaire method. The participants consisted of 234 employees and 53 supervisors in Chinese enterprises. Hypothesis testing was conducted using multiple regression analysis and the Bootstrap method.

The coaching leadership exhibited a positive association with employees’ work engagement, psychological safety and self-efficacy. It was observed that employees’ psychological safety and self-efficacy played a dual-mediation role between coaching leadership and work engagement. Additionally, employees with power distance orientation (POD) amplified the positive effects of coaching leadership on psychological safety and self-efficacy.

This study contributes to the literature on coaching leadership and work engagement by elucidating their direct influence, as well as the dual-mediating roles of psychological safety and self-efficacy. Besides, our findings underscore the moderating effect of POD in amplifying the impacts of coaching leadership. However, the nonlongitudinal survey design adopted by our study should be noted for its potential limitations in establishing causality.

The findings demonstrate that coaching leadership, psychological safety and self-efficacy play a crucial role in fostering work engagement. Employees with higher POD are more likely to benefit from coaching leaders.

This study contributes to coaching leadership literature and provides insights into how and when coaching leadership affects work engagement in Chinese organizations.

The purpose of this chapter is to solve multi-objective formulation for traveling salesman and transportation problems. Computations are based on real data for the road freight transportation of a Spanish company. The company was selected because of its importance in Spanish economy and market. This company is important in the whole country; however, it has its higher importance in the northern part of Spain. The requirements for these models are the minimization of total distance and the CO₂ emissions. To achieve this, it is required to know and carry out the minimization of the total distance traveled by the trucks during the deliveries. The deliveries are going to be executed between the different locations, nodes, in the region, and Elorrio, where the depot is situated. The data have been used to decide the best route in order to obtain a minimization of cost for the company. As it was mentioned earlier, the problems are focused on the reduction of the amount of CO₂ emissions and minimization of total distance; by studying different parameters, the best solutions of route transportation have been obtained. The software used to solve these models is CPLEX solver with AMPL programming language.