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The online crowdsourcing has been widely applied in the practice. The purpose of this paper is to investigate the all-pay auction contest in crowdsourcing, wherein a seeker posts a task online and the solvers decide whether to participate in the contest and in what extent to spend efforts on their submissions.

The authors specifically consider two classic contest formats: simultaneous contest and sequential contest, depending on whether the solver can observe the prior solvers’ submissions before making her own effort investment decision or not. They derive both seeker’s and solver’s equilibrium decisions and payoffs under different contest formats, and show that they vary significantly according to the number and the average skill level of solvers.

The results show that a solver would always invest more on her submission under simultaneous contest than under sequential contest, as she cannot confirm how other solvers’ submissions would be. This subsequently intensifies the market competition and brings down a solver’s average payoff under simultaneous contest. Although the simultaneous contest gives rise to a higher expected highest quality of all submissions, it also requires the seeker to spend more search cost to identify the best submission. Therefore, when the number of solvers is high or the average skill level is low, the seeker prefers sequential contest to simultaneous contest. The results also show an analogous preference over two formats for the platform.

This paper investigates two formats of all-pay auction contest in crowdsourcing and evaluates them from the perspective of solvers, seekers and platforms, respectively. The research offers many interesting insights which do not only explain the incentive mechanisms for solvers under different contest formats, but also make meaningful contributions to the seeker’s or the platform’s adoption strategies between two alternative contest formats in crowdsourcing practice.

The purpose of this paper is to investigate the management of the logistics-manufacturing interface between the manufacturer and its logistics service provider from the perspective of the service-dominant (S-D) logic.

The approach adopted is that of abductive reasoning through case study: data are primarily gleaned from semi-structured in-depth interviews. Field visits and secondary documentation are used to ensure data validity.

The results show that the interface can be categorized into three levels: design interface between products and logistic services, process interface between manufacturing processes and service-offering processes, and information interface between manufacturing information systems and logistics information systems. The results also indicate that ten foundational premises of S-D logic, especially service-focussed, customer-oriented and rational views can be applied in defining and managing these interfaces.

This research contributes not only to the theory of S-D logic and managing interface, but also provides managers with guidelines of applying S-D logic to build a service-focussed, customer-oriented and relational logic to effectively manage the logistics-manufacturing interface. However, the research is limited to the context of automotive and logistics industries.

Three levels of logistics-manufacturing interface, including design, process and information are identified, and S-D logic is applied to identify and manage the interface.

The main purpose of this paper is to investigate the current manufacturing strategies and practices of bus manufacturers in China, and to propose a framework of manufacturing strategies for time‐based competitive advantages.

The conceptual research framework is devised from a review of the literature, and case studies are used to investigate the manufacturing strategies and practices in place in the case companies. Data are collected through semi‐structured interviews and secondary documentation.

The results show that, with over‐capacity in the Chinese bus manufacturing industry, success is no longer determined by high productivity or low price; a quick response to the customers' tailored demands is essential in a climate of fierce competition. The suggested best practices for time‐based competitive advantages comprise building technical centers and post‐doctoral research stations, applying modularity logic, adopting radio frequency identification (RFID), and optimizing processes by, for example, involving customers and integrating inbound and outbound logistics.

The research results are limited within the context of the bus manufacturing industry in China.

The research results help both the practitioners and the researchers gain a better understanding of the practices of Chinese bus manufacturers from the perspective of time‐based competitive advantage. The proposed strategies and best practices have the potential to improve the manufacturing performance of this type of manufacturer.

This paper shows the big picture of manufacturing strategy and practice of bus manufacturers in the Chinese automobile industry. Furthermore, it presents a manufacturing strategy framework with best practice guidance to gain a time‐based competitive advantage.

The purpose of this paper is to explore the quality factors influencing customer satisfaction in the electronic commerce (e-commerce) context using a triadic view of customer-e-retailer-third-party logistics provider, and to investigate the impacts of service quality on customer satisfaction and loyalty in the e-retailing supply chain.

A literature review is used to determine the conceptual model and develop the measurement scales. Data are collected through a web survey mainly conducted in China. Structural equation modeling is used to analyze the collected data and test the research hypotheses.

The results verify the proposed service quality framework, consisting of two dimensions (electronic service (e-service) quality and logistics service quality), in the e-commerce context. The results indicate that e-service quality and logistics service quality are strongly linked to customer satisfaction; that is, with e-service and logistics service, respectively. e-Service quality positively impacts customer satisfaction with logistics services, but logistics service quality negatively impacts customer satisfaction with e-services. Moreover, customer satisfaction with e-services is positively associated with customer loyalty for both e-services and logistics services. However, customer satisfaction with logistics services has no direct impact on related customer loyalty, and negatively impacts customer loyalty with e-services.

The survey focusses only on China; future data should verify whether different cultural backgrounds will impact the research results.

The results show that e-retailers should not only focus on e-service quality, but also logistics service quality, which is critical to the success of e-commerce.

A two-dimensional (e-service and logistics) service quality framework is proposed and empirically assessed in the context of the e-retailing supply chain. These impacts of the path of service quality on customer satisfaction and loyalty are highlighted.

The purpose of this paper is aimed at understanding and identifying the context, capability requirements, and configurations (3Cs) of modular supply networks in the Chinese automotive industry.

In an attempt to specify the main elements of modular supply networks, a case study and 3C framework approach analyze different network contexts. The framework considers not only the capabilities of product design, production, inbound logistics, and information sharing, but also the configuration of the role structure, process structure, and information structure that helps achieve these capabilities.

This paper analyzes two types of modular supply network, directly reflecting the degrees of involvement in the modularity logic of the module supplier and the automaker, which largely depend on their corporate strategy toward technology innovation. In a fully integrated module supply network, the module supplier needs sufficient capability for upstream supply network integration and modularization, whereas in the partly integrated module supply network, a third‐party logistics provider plays an important role with regard to production capability.

This paper investigates four modules. The practical tools for configuring the modular supply network can be specified in more detail in further research.

The 3C framework described herein contributes to theory in the fields of supply chain management and modularity, and it assists in further expanding the theory of SCM.

The purpose of this paper is to study the effects of team trust and individual trust on cooperative performance and to examine the role of relationship commitment.

Statistical analysis on questionnaire data from 245 team members was used to assess relationship between trust, relationship commitment and cooperative performance.

The results show that both the team trust and the individual trust are positively correlated with cooperative performance. The indirect effect of team trust on cooperative performance mediated by relationship commitment is significantly greater than its direct effect. However, the indirect effect of individual trust on cooperative performance mediated by relationship commitment is significantly less than its direct effect.

Previous researches about the trust between teams focused on the team trust which did not match with the reality, especially in China, a country that thinks highly of interpersonal relationship. The paper first considers the effects of both the team trust and the individual trust on cooperative performance and compares these effects with the effects mediated by relationship commitment.

Because of the complexity of relationship between surface tension and its decisive factors, such as temperature, concentration, electronic density, molar atomic volume and electro-negativity, a reasonable predicting model of surface tension of Sn-based solder alloys has not been developed yet. The paper aims to address the surface tension issue that has to be considered if the new lead free solder will be applied for electronics.

Using an artificial neural network (ANN) model with back-propagation (BP) algorithm, the surface tension for Sn-based binary solder alloys was simulated, and the comparison between the simulating results and data from experiments and literatures was analyzed as well. In addition, the relationship between surface tension and its decisive factors would be discussed based on the ANN and orthogonal design methods.

It is shown that the predicting model of surface tension of Sn-based solder alloys is constructed according to the BP–ANN theory, and the predicted value from the BP–ANN is in excellent agreement with the experimental results. The surface tension of Sn-based solders is determined by five factors, i.e. temperature, concentration, electronic density, molar atomic volume and electro-negativity. Among of the factors, molar atomic volume is major factor, and the order of degree of influence on surface tension is molar atomic volume > electro-negativity > electronic > density > concentration > temperature. Moreover, a simply reasonable equation is proposed to estimate the surface tension for Sn-based solders.

The five decisive factors of surface tension for Sn-based binary solder alloys have been analyzed theoretically, and a reasonable model of surface tension for Sn-based binary solder alloys is proposed as well. It is shown that ANN theory will be applied well to simulate the surface tension of Sn-based lead free solder.

On the basis of behavioural agency theory and resource-based view, this study investigates the influence of family firm birth mode (i.e. indirect-established or direct-established), family entering time on R&D investment and the moderating role of the family entering time on the relationship between birth mode and R&D investment.

The authors collected 2,990 firm-year observations from family firms listed on A-share in China from 2008 to 2016 in the China Stock Market and Accounting Research database. They used pooled regression for data analysis and Tobit regression for robustness checks.

Indirect-established family firms show more inclined behaviour towards R&D investment than direct-established counterparts. Family entering time positively affects the R&D investment of family firms. Moreover, family entering time plays a significant moderating role in the relationship between family firm birth mode (i.e. indirect-established or direct-established) and R&D investment.

To the best of the authors’ knowledge, this work is a pioneering study that introduced the concept of family firm birth mode (i.e. indirect-established or direct-established) and family entering time. This work is novel because it differentiated family firms according to their birth modes, an approach which is a contribution to the existing literature of family firms. Moreover, the investigation of the moderating role of family entering time has also produced notable results that help understand the impact of family entering time on different types of family firms. The interpretation of outcomes according to behavioural agency theory also produced useful insights for future researchers as well as for policymakers.

Large displacement misalignment under the action of active faults can cause complex three-dimensional deformation in subway tunnels, resulting in severe damage, distortion and misalignment. There is no developed system of fortification and related codes to follow. There are scientific problems and technical challenges in this field that have never been encountered in past research and practices.

This paper adopted a self-designed large-scale active fault dislocation simulation loading system to conduct a similar model test of the tunnel under active fault dislocation based on the open-cut tunnel project of the Urumqi Rail Transit Line 2, which passes through the Jiujiawan normal fault. The test simulated the subway tunnel passing through the normal fault, which is inclined at 60°. This research compared and analyzed the differences in mechanical behavior between two types of lining section: the open-cut double-line box tunnel and the modified double-line box arch tunnel. The structural response and failure characteristics of the open-cut segmented lining of the tunnel under the stick-slip part of the normal fault were studied.

The results indicated that the double-line box arch tunnel improved the shear and longitudinal bending performance. Longitudinal cracks were mainly distributed in the baseplate, wall foot and arch foot, and the crack position was basically consistent with the longitudinal distribution of surrounding rock pressure. This indicated that the longitudinal cracks were due to the large local load of the cross-section of the structure, leading to an excessive local bending moment of the structure, which resulted in large eccentric failure of the lining and formation of longitudinal cracks. Compared with the ordinary box section tunnel, the improved double-line box arch tunnel significantly reduced the destroyed and damage areas of the hanging wall and footwall. The damage area and crack length were reduced by 39 and 59.3%, respectively. This indicates that the improved double-line box arch tunnel had good anti-sliding performance.

This paper adopted a self-designed large-scale active fault dislocation simulation loading system to conduct a similar model test of the tunnel under active fault dislocation. This system increased the similarity ratio of the test model, improved the dislocation loading rate and optimized the simulation scheme of the segmented flexible lining and other key factors affecting the test. It is of great scientific significance and engineering value to investigate the structure of subway tunnels under active fault misalignment, to study its force characteristics and damage modes, and to provide a technical reserve for the design and construction of subway tunnels through active faults.

The purpose of this paper is to explore the variation law between the clay microstructure and macro external force by using soil scanning electron microscope (SEM) images.

First, SEM images of clay were pre-processed by MATLAB, and quantitative statistical parameters such as directional probability entropy, fractal dimension and shape factor are extracted. Second, the distribution force model was proposed, considering that the microscopic parameters of soil particles were independent of each other, and the distribution coefficient was determined according to the analytic hierarchy process (AHP). Then, the fitted formula of quantitative statistical parameters based on the distribution force model was obtained by taking the macroscopic distribution force as independent variable and the microscopic parameters of soil particles as dependent variable. Finally, the correctness of corresponding fitting formula was verified.

The results showed that the change of external consolidation pressure has great influence on the directional probability entropy and fractal dimension, while the shape factor reflecting the regular degree of soil particle shape is less sensitive to the consolidation pressure. The fitting formula has high accuracy, and mostly the R value can reach more than 0.9. All the data have passed the test, which proves that the distribution force model proposed in this paper is rational.

The model can be used to connect the macroscopic stress of soil with the micro-structure deformation of soil particles through mathematical formula, which can provide reference for engineering practice.