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This study aims to help businesses cope with consumers' no-show behaviour from a multistage perspective. It specifically identifies no-show reasons at each stage of appointment services and proposes the corresponding coping strategies.

By focusing on an outpatient appointment service, we interviewed 921 no-show patients to extract no-show reasons, invited 18 hospital managers to propose coping strategies for these reasons using a Delphi method and evaluated the proposed strategies based on EDAS (Evaluation based on Distance from Average Solution).

The results reveal ten reasons for no-show behaviour (i.e. system service quality, overuse, did not know the appointment, self-judgment, forget, waiting time, lateness, uncontrollable problems, time conflict and service coordination), which have nine coping strategy themes (i.e. prepayment, system intelligence, target, subjective norm, system integration, ease of navigation, reminder, confirmation and cancellation). We classify the ten reasons and nine themes into scheduling, waiting and execution stages of an appointment service.

This study provides a package of coping strategies for no-show behaviour to deal with no-show reasons at each appointment service stage. It also extends the research in pre-service management through appointment services.

This study addresses an important research question regarding how supplier-base concentration affects buyer efficiency. Drawing on the contradicting views of transaction cost theory (TCT) and resource dependence theory (RDT), the authors explore the main effect of supplier-base concentration on buyer efficiency and how this effect is contingent on buyers' characteristics (i.e. research and development (R&D) expenditure and market share).

Based on data collected from the Chinese manufacturing firms listed on National Equities Exchange and Quotations (NEEQ) between 2015 and 2019, the authors use a fixed-effect model as well as a two-stage least squares model to test the predictions.

The authors find that supplier-base concentration has a positive effect on buyer efficiency. In addition, when a buyer has higher levels of R&D expenditure and market share, the positive relationship between supplier-base concentration and buyer efficiency is strengthened.

This study contributes to a better understanding of the effect of supplier-base concentration. First, the authors provide theoretical and empirical evidence of the positive effect of supplier-base concentration on buyer efficiency. Second, the authors reveal the underlying mechanism of how to counter the potential drawbacks and benefit more from supply base reduction by introducing R&D expenditure and market share as contingencies.

The purpose of this paper is to measure the efficiencies of parallel subsystems with shared inputs/outputs. Each subsystem has not only a set of common inputs and outputs, but also some dedicated inputs and outputs as well as some shared inputs and outputs. A more general data envelopment analysis (DEA) approach is proposed to deal with this efficiency evaluation issue. Based on the proposed approach, mechanisms for shared inputs/outputs distribution and efficiency decomposition among sub-units are presented.

To evaluate the efficiency of the parallel systems, this paper proposes a centralized DEA approach by assuming that the same input/output factor in a decision-making unit (DMU) has the same multiplier for all its sub-units. Furthermore, different proportions of shared inputs/outputs are imposed on sub-units within different DMUs in evaluating each DMU’s efficiency. The proposed approach is applied to evaluate the operational efficiencies of 18 railway firms in China.

By using the proposed DEA approach, the efficiencies of the whole DMU and its sub-units can be measured at the same time, and the optimal allocation strategy of shared inputs/outputs can also be obtained. The proposed model is more reasonable and robust for measuring the operational performance of parallel systems with shared inputs and outputs. The efficiency of railway system in China is relatively low, and its inefficiency is largely caused by lower freight transportation performance. Great disparities among firms can be found in the passenger transportation efficiency and freight transportation efficiency.

This study develops the DEA model under the assumption of constant returns to scale, which can be directly extended to a situation with variable returns to scale.

In this paper, the proposed approach is a more effective way to evaluate the efficiencies of parallel systems with shared inputs/outputs. With respect to the application, to improve the overall efficiency of China’s railway system, more efforts should be taken to improve its operational performance of freight transportation. Furthermore, firms’ disparities should also be considered when making these related policies.

The proposed approach can evaluate the whole DMU and its sub-units at the same time. Considering simultaneously the common/dedicated/shared inputs/outputs, the proposed approach is more general than the existing approaches in the literature. In the described approach, the same type of input or output is assumed to have the same weight for all sub-units within one DMU. More importantly, the proposed model imposes different proportions of shared inputs/outputs on different DMUs’ sub-units when measuring the efficiency for each DMU.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Small retailers must overcome various challenges in order to remain competitive. Such operators can improve business performance through strategic integration within an appropriate buying group that permits them to access key additional merchandising information, resources and support.

The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

The purpose of this paper is to develop a new inverse controller for servo‐system position tracking control based on neural network (NN) and model reference adaptive control (MRAC).

First, the model of general servo‐systems is analyzed. Then, a MRAC based on neural network control (NNC) is proposed with mathematical prove of stability. In addition, several simulation cases and experiments are listed to verify the usability of the control scheme.

This scheme consists of an MRAC, an online NN controller and a robust controller in velocity‐loop. For reducing influence which arose from modeling error, unknown model dynamics, parameter variation, and load changes, the NN controller is introduced to counteract the various influence mentioned above dynamically. MRAC, NNC, and robust controller adjust system to track the approximate velocity‐loop reference model. In this way, the position‐loop is not sensitive to the disturbance on velocity‐loop, and the whole velocity‐loop can be treated as a simple linear model when designing the other parts of the system. In addition, a novel inverse control method based on linear velocity signal filter is introduced to this scheme. In this case, the MRAC, NNC, and robust controller perform as an adaptive inverse controller, which keeps the velocity signal tracking the position loop controller output.

The paper presents a new inverse controller with NNC and MRAC which is practical and flexible.

This paper aims to mainly investigate the role of trust, which is an important informal system, in executive compensation incentives.

Using the data of Chinese A-share private enterprises from 2003 to 2014, the paper estimates the effect that trust has on executive compensation incentives.

Results indicate that trust can significantly enhance the effectiveness of executive compensation incentives. Furthermore, the better the regional trust environment in which companies are located, the more pronounced the effect is. In particular, the effect of trust on executive compensation incentives is only significant when the formal legal system is immature. As companies continue to grow and develop and the formal system becomes perfect, the role of trust weakens. The formal system, including the corporate governance mechanism and perfect legislation, then becomes the key to promoting executive compensation incentives.

This paper provides evidence of the significance of both informal and formal systems. It not only emphasises the important role that the informal system has played in “the mystery of China’s economic growth” but also supports the “ruling the country by law” strategy for the sustainable development of China’s economy.

This paper reveals the relationship between the formal and informal systems, which provides a new perspective on and empirical evidence for the determinants of executive compensation incentives, and it also finds an explanation for the rapid growth of China’s economic development.

Drawing on the resource-based view, this study aims to investigate the conditions under which small- and medium-sized retailers can improve competitive benefits through the lens of brand equity and strategies for competitive advantage in retail buying groups.

This study collected 241 samples from small- and medium-sized supermarket retailers who joined retail buying groups in Japan.

This study offers two key findings. First, the results indicate that a buying group’s brand equity partially mediates the relationship between member retailers’ strategic integration and their buying group benefits. Second, member retailers with a stronger differentiation orientation strengthen the positive impact of strategic integration on the buying group’s brand equity and buying group benefits. The moderating effects of low-cost orientation were not found to be significant.

To highlight the sustainable growth of small- and medium-sized retailers in retail buying groups, which are often ignored in the extant literature, this study offers practical guidance on the importance of a buying group’s brand equity. In addition, based on the findings, this paper postulates that member retailers pursuing differentiation orientation, rather than low-cost orientation, are more beneficial to retail buying groups in terms of relational outcomes and performance consequences.

By conceptualizing brand equity in retail buying groups, this study suggests a novel approach for retail management that investigates how a buying group’s brand equity is linked to strategic integration, strategies for competitive advantage and buying group benefits from the viewpoint of member retailers.

Cement fly ash gravel (CFG) pile composite foundation is an effective and economic foundation treatment approach, which is significant to build foundation, subgrade construction, and so forth. The purpose of this paper is to present a research on the temperature behaviours of high-latitude and low-altitude island permafrost under CFG pile composite foundation treatment.

In the process of CFG pile construction, the temperature of permafrost and pile body was monitored using the temperature sensors. The influence of subgrade height and atmospheric temperature cycle on permafrost temperature was analysed by finite element simulation.

In the process of CFG pile construction, the change curve of pile temperature and the temperature of permafrost beside pile following time can be divided into six stages, and the duration of these stages is at least one month. The temperature variation of permafrost while constructing subgrade in FEM has a good agreement with the results of field temperature monitoring. The height of subgrade not only affects the maximum temperature increase of permafrost and the re-frozen time of permafrost after the construction of CFG pile composite foundation, but also affects the temperature variation amplitude of permafrost during atmospheric temperature cycle.

The research will provide a reference for the design on the CFG pile composite foundation used for island permafrost and guarantee the stability of the structure; thus, it has an important significance.

The purpose of this paper is to examine the efforts of an ethnic Miao migrant worker association to recreate and engage with festivals both in the host society of the Pearl River Delta and back home in Southeastern Guizhou province of Southwest China. It analyzes how and under what conditions the disadvantaged migrant workers collectively demonstrate and assert their cultural identity in festival activities, rekindling and strengthening their ethnic consciousness.

Based on ethnographic field data, this study focuses on the connections between migrant workers’ lives in modern host societies and their traditional culture back home. Special attention is paid to the temporal dynamics of migrant workers’ cultural identity and socio-economic development.

The leaders of the Miao migrants’ association created network linkages to channel the flow of labor, capital and culture between the host society and the migrants’ hometown, and made efforts to secure institutional embeddedness at both ends of the flow. Their use of festivals and related heritage as cultural capital has facilitated the cultivation of network linkages and institutional embeddedness for economic advancement and overcoming ethnic prejudices and institutional disadvantages.

By illustrating how the economic development has been imbricated with culture, this research enhances understanding about the role of network linkage and institutional embeddedness in the flow of labor, capital and culture between host society and home place of migrant communities.

We make use of the Volunteered Geographic Information (VGI) data to extract the total extent of the roads using remote sensing images. VGI data is often provided only as vector data represented by lines and not as full extent. Also, high geolocation accuracy is not guaranteed and it is common to observe misalignment with the target road segments by several pixels on the images. In this work, we use the prior information provided by the VGI and extract the full road extent even if there is significant mis-registration between the VGI and the image. The method consists of image segmentation and traversal of multiple agents along available VGI information. First, we perform image segmentation, and then we traverse through the fragmented road segments using autonomous agents to obtain a complete road map in a semi-automatic way once the seed-points are defined. The road center-line in the VGI guides the process and allows us to discover and extract the full extent of the road network based on the image data. The results demonstrate the validity and good performance of the proposed method for road extraction that reflects the actual road width despite the presence of disturbances such as shadows, cars and trees which shows the efficiency of the fusion of the VGI and satellite images.