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The purpose of this paper is to discuss motion planning about crossing obstacles and welding trajectory for a new-model mobile obstacle-crossing welding robot system. The robot can cross the obstacle in this way that one of the three adhesion mobile parts is pulled off the ground in turn. An optimal obstacle-crossing approach needs to be studied to improve the welding efficiency.

According to the characteristics of this mobile welding robot, two methods for crossing obstacles are compared. A special method is used for obstacle-crossing and welding. The kinematic model is established. By the optimization method, the optimum parameters for crossing obstacles are calculated. The welding speed when the robot is crossing the obstacle is very important, so its value must be in a certain range. Finally, the tracks of the wheels when the robot is crossing the obstacle are analyzed in order to observe the obstacle-crossing process.

According to the analysis, the maximum speed of the vehicle in the obstacle-crossing is determined. When crossing the obstacle, the robot can do welding simultaneously. The welding speed cannot exceed a certain value. In the obstacle-crossing process, the tracks of the wheels can reflect the process. According to the obtained conclusion, the obstacle-crossing experiments are successfully completed, and the welding effect is good. The results can prove that the proposed method is feasible.

The speed of obstacle-crossing is not very large. It has some relationships with the lifting speed of the wheels, which is determined by the quality of drive motor. More efficient robot must be developed to meet the needs of industrial robot.

Based on the excellent obstacle-crossing and welding capabilities, the robot with the new mechanism has a widely applying prospect in the field of welding and inspecting large equipment.

The obstacle-crossing approach has certain innovation. The way that the robot can maintain continuous welding when crossing the obstacle is of a great significance.

The purpose of this paper is to describe a new solution for wheel‐robot's adhesion and passing‐obstacles mechanism and the optimal design of magnetic adhesion unit with finite element methods. The new mechanism makes the robot have a simpler structure, finer passing obstacles and larger payload capabilities.

After researching literature and analyzing in detail the disadvantages and advantages of magnetic wheel and structure magnet mounted under the chassis of a robot, the structure magnet is selected as the robot's adhesion style. Then the paper introduces the robot's structure and locomotion mechanism, the design of the new mechanism and the optimization of structure parameters for magnetic adhesion unit are described in detail in this paper. The new design can lift the robot's wheel unit and change adhesion force using only a motor.

A prototype of robot has been developed and successful test results prove that the proposed technology is feasible. The climbing robot can overcome 70‐mm high obstacles and has a large enough payload capability while climbing on vertical surfaces.

The new design reduces the number of actuators used in the robot and increases the magnetic adhesion force.

Thanks to the excellent passing‐obstacles and payload capabilities, the climbing robot with the new mechanism has a widely applying prospect in the field of welding and inspecting large equipment.

The lifting mechanism can lift the wheel unit and change magnetic adhesion force using only one motor. This makes the robot have a simple structure as well as the large payload capability.

This study aimed to verify the impact of e-commerce live streaming interactivity on consumer engagement behavior. Specifically, the multiple dimensions of interactivity and tie strength together form a high-level consumer engagement behavior.

Data collection was carried out in the form of a questionnaire survey. Data from 416 respondents were analyzed by structural, followed by further test by fsQCA method.

Perceived controllability, perceived responsiveness and perceived mutuality positively influence tie strength, and tie strength promotes consumer engagement behavior. Moreover, we found a configuration effect between interactivity and tie strength and revealed four configurations that can affect high-level engagement behavior.

First, the SEM results show that the three dimensions of perceived interactivity positively impact tie strength: perceived controllability, perceived responsiveness, and perceived mutuality. And perceived personalization has no positive impact on tie strength. Second, the relevant results show that tie strength positively impacts consumer engagement behavior. Third, we find that the relationship between perceived interactivity and consumer engagement behavior may not be asymmetric, so the alternative combination of causal conditions may produce the same results. The fsQCA results revealed four configurations that can affect the level of consumer engagement behavior. And tie strength is the core condition.

This study provides specific solutions for e-retailers and live streaming platforms to promote consumers' participation in engagement behavior in e-commerce live streaming.

This study transforms the linear impact of interactivity on consumer engagement behavior into a configuration effect for the first time, and enriches the live streaming commerce and consumer engagement behavior literature.

Based on the prediction of the consumption of medical materials, the purpose of this paper is to study the applicability of the grey model method to the field and its predicted accuracy.

The ABC classification method is used to classify medical consumables and select the analysis objects. The GM (1,1) model predicts the annual consumption of medical materials. The GM (1,1) modeling of the consumption of the selected medical materials in 2006~2017 was carried out by using the metabolite sequence and the sequence topology subsequence, respectively. The average rolling error and the average rolling accuracy are calculated to evaluate the prediction accuracy of the model.

The ABC classification results show that Class A projects, which account for only 9.79 percent of the total inventory items, occupy most of the inventory funds. Eight varieties with varying purchases and usages and complete historical data were selected for further analysis. The subsequence GM(1,1) model group constructed by two different methods predicts and scans the annual consumption of eight kinds of medical materials, and the rolling precision can reach more than 90 percent.

The metabolic GM (1,1) model is an ideal predictive model that can meet the requirements for a short-term prediction of medical material consumption (Zhang et al., 2014). The GM (1,1) model is more suitable for a short-term prediction of medical material consumption with less data modeling.

The purpose of this paper is to introduce error ellipse into the bootstrap method to improve the reliability of small samples and the credibility of the S-N curve.

Based on the bootstrap method and the reliability of the original samples, two error ellipse models are proposed. The error ellipse model reasonably predicts that the discrete law of expanded virtual samples obeys two-dimensional normal distribution.

By comparing parameters obtained by the bootstrap method, improved bootstrap method (normal distribution) and error ellipse methods, it is found that the error ellipse method achieves the expansion of sampling range and shortens the confidence interval, which improves the accuracy of the estimation of parameters with small samples. Through case analysis, it is proved that the tangent error ellipse method is feasible, and the series of S-N curves is reasonable by the tangent error ellipse method.

The error ellipse methods can lay a technical foundation for life prediction of products and have a progressive significance for the quality evaluation of products.

Based on resource dependence theory and transaction cost economics this study explores how green customer integration (GCI) affects financial performance via information sharing and opportunistic behavior, and the moderating effects of dependence and trust.

This study develops a theoretical model and tests it using data from two-waved survey data of 206 Chinese manufacturers. The hypotheses were tested using hierarchical linear regression analysis.

The results show that GCI has a significant and positive impact on information sharing, but its impact on opportunistic behavior is insignificant. Notably, information sharing has a significant and positive impact on financial performance, while opportunistic behavior has an insignificant impact on financial performance. In addition, dependence negatively moderates the impact of GCI on information sharing and positively moderates the impact of GCI on opportunistic behavior. Trust negatively moderates the impact of GCI on opportunistic behavior.

Although GCI has received widespread attention, how it affects a firm's performance remains unclear. Most previous studies have focused only on its bright side and ignored its dark side. This study highlights how GCI affects financial performance through information sharing and opportunistic behavior, and the moderating effects of dependence and trust. This enriches the understanding of how and under what conditions GCI affects a firm's performance.

The purpose of this paper is to explore the impact of mobile social media functions on explicit and implicit knowledge sharing under the “Guanxi” system based on the framework of stimulus–organism–response (SOR).

Combined with Guanxi theory, this paper designs an experiment to collect data from the new product development (NPD) teams.

Interestingly, the results show that the effect of social media communication function on employees is greater than the impact of collaboration on employees. Specifically, on the one hand, the more employees communicate in social media, the better their feelings will be, the less they will share knowledge. On the other hand, the collaboration function has a significantly negative impact on the psychological factors of employees. Excessively close cooperation and contact may instead create a contradiction between the employees, which is not conducive to the occurrence of knowledge sharing.

This paper extends SOR framework by combining Guanxi theory to examine the relationship between social media functions and knowledge sharing behavior (KSB). In practical, companies should pay attention to the frequency of employee using social media when it is introduced for NPD teams to control the negative influence of social media functions on employee KSB.

The purpose of this study is to examine Chinese international students' narrative stories, experiences and racial dynamics while studying in the United States to argue that Chinese international students navigate multi-dimensional transitions and experiences in different stages. This study uses an AsianCrit lens to address the gap in existing research focusing on Chinese international students' narratives and experiences.

Narrative inquiry with a social constructivist paradigm was used to provide an in-depth exploration of Chinese international students' navigation and negotiation in multi-dimensional experiences. Three phases of semi-structured interviews and journal entries were utilized to examine participants' experiences and struggles while studying in the United States. Descriptive coding, deductive coding and restorying were used to analyze and feather narrators' voices and stories for interpretation.

The findings in this qualitative study demonstrate that Chinese international students have unique backgrounds, and their backgrounds shape their multi-dimensional transitions and experiences in the present and the future. The findings address students' nuanced experiences in academic transitions and non-academic transitions with an AsianCrit lens.

The study calls for higher education institutions to promote intercultural and international training for faculty and staff to better understand and support the unique needs of international students.

Using Multiple and Multi-dimensional Transitions theory with an AsianCrit lens helps make sense of the intersection of international student status, geopolitical tensions, racial dynamics and international student experiences.

This paper aims to study the impact of land options on the land transfer behaviour of Chinese city governments.

Based on the institutional environment of Hangzhou, China, the option pricing model is used to measure the option value of the trading plots. The effect of the option value on the land transfer price and the timing of transfers are estimated respectively, using the hedonic price model and the survival analysis models.

The results show that the option value has a significant explanation on land price and timing of land transfers. Under the effect of option value, the positive impact of fiscal pressure on the possibility of land transfer weakens. From the perspective of the annual option premium rate, the option premium is closely related to the real estate cycle. Option premiums are higher during booms but lower during recessions and in new urban areas.

By revealing the distinction of land option premiums in different places and times, this paper provides a reference for city governments seeking a balance between real estate regulation and obtaining more land revenue.

By introducing policy variables that reflect the degree of tightness of real estate regulation and indicators of local government financial pressure, the paper discusses the impact of options on the transfer behaviour of local governments in different situations.

In recent years, with the rapid development of the Internet and e-commerce, the online retail business has grown rapidly. E-commerce platforms can track different click data to understand consumer behavior and demand preferences, so as to make better demand forecasts, and strategically share this information with upstream suppliers. When the platform charges a certain fee for the shared data, the suppliers face the question of whether to purchase demand information. This article aims to analyze the influence of price competition and advertising competition on the suppliers' decisions to purchase information and the online platform for data pricing.

By using static game with incomplete information, this paper explores information-sharing strategies of an online platform with two competitive brand suppliers. The authors use Nash game to analyze the suppliers' purchasing information decision and then obtain the optimal information price of the online platform with information-sharing contract.

This paper shows that demand information sharing benefits both the platform and the suppliers. Without information contracts, the online platform is willing to share demand information with at least one supplier. Especially, when the consumer's sensitivity to advertising is larger and the commission fee charged by the online platform is small, the online platforms will share information with only one supplier. Based on the game outcomes between the suppliers, two pricing strategies for information are proposed under which at least one supplier purchases information. If the consumers are less (more) sensitive to advertising competition, pricing strategy of the online platform induces both suppliers (only one supplier) to purchase information.

At present, most of the information-sharing articles are based on the traditional purchase and sale mode. Based on the background of e-commerce, this paper examines the online platform's information-sharing strategies, which has certain innovation. In addition, the results show that the information-sharing strategy of the online platform is affected by both the price and advertising competitiveness, which provides a new expansion and supplement for the information-sharing literature.