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Many supply contracts are employed in practice to improve the performance of supply chains. But there is a lack of research that can offer guidance to practitioners in choosing the best supply contract among a group of popular contracts. This paper aims to fill this gap by developing an intelligent rule‐based supply contract design system for choosing the best contract and its parameters from a supplier's point of view.

The approach used in this paper is based on the comparison of several supply contracts that are encountered in supply chain practice. The paper aims at identifying the conditions under which one supply contract outperforms another from the supplier's perspective. To facilitate the implementation of the decision‐making rules that are developed in this research, an intelligent decision support system is developed.

Six popular contracts are analysed; returns policy (RP), quantity discount (QD), target rebate (TR), backup agreement (BA), quantity flexibility (QF), and quantity commitment (QC). The main findings are: QD contracts generate larger expected profits for the supplier than TR contracts do when the demand is exogenous, an RP contract is better than a QD contract when the wholesale profit margin is sufficiently large and that the optimal QC contract always provides a higher expected service level than BA and QF contracts.

The paper presents an approach for developing an intelligent supply contract design system that can offer guidance to practitioners in choosing the best supply contract for a particular supplier.

To realize stable and precise localization in the dynamic environments, the authors propose a fast and robust visual odometry (VO) approach with a low-cost Inertial Measurement Unit (IMU) in this study.

The proposed VO incorporates the direct method with the indirect method to track the features and to optimize the camera pose. It initializes the positions of tracked pixels with the IMU information. Besides, the tracked pixels are refined by minimizing the photometric errors. Due to the small convergence radius of the indirect method, the dynamic pixels are rejected. Subsequently, the camera pose is optimized by minimizing the reprojection errors. The frames with little dynamic information are selected to create keyframes. Finally, the local bundle adjustment is performed to refine the poses of the keyframes and the positions of 3-D points.

The proposed VO approach is evaluated experimentally in dynamic environments with various motion types, suggesting that the proposed approach achieves more accurate and stable location than the conventional approach. Moreover, the proposed VO approach works well in the environments with the motion blur.

The proposed approach fuses the indirect method and the direct method with the IMU information, which improves the localization in dynamic environments significantly.

This special issue reveals how lesson study in China continues to serve as a powerful platform to support change in teaching. The papers included in this issue explore how university faculty members and researchers support teachers to cross boundaries resulting from the introduction of key competencies-based (hexin suyang 核心素养) curriculum reform (KCR).

The theme of continuity and change is examined against the backdrop of Chinese lesson study's (CLS's) consistent supporting role in enabling curriculum reform. These analyses make use of concepts involved in understanding boundary crossing, such as using boundary objects and their roles, to help make sense of the new theories, tools, and resources as well as relationships engendered in responding to the reform's demand. While recognizing the continuity at play in Chinese LS, the authors use the lens of learning at the boundary of research-practice partnerships (RPPs) (Farrell et al., 2022) to contemplate the future of CLS.

The papers touch on three major themes: (1) the role of university-school partnerships in meeting the new demands of key competencies reform; (2) resourceful tools, strategies and structures to support boundary crossing for teachers; and (3) roles and relationships for mutual learning in university-school partnerships. Together these three themes, considered across the papers in this issue, point to the need to redefine CLS to engender versatility and hybridity and to enlist mutual learning relationships in future university-school partnerships. Such redefinition positions lesson study to both continue and change.

The papers in this issue are expected to promote mutualist learning in future CLS research-practice partnerships. To do so, research needs to move from focusing on change of a single case teacher to clarifying what experts and teachers each learn from the LS and from each other. Attention also needs to focus on the collaborative discourse and ways such discourse is able to promote mutual learning, emotional support in facing change as well as critical and constructive problem solving.

Practically, to better support boundary crossing, this special issue encourages academics and teachers to identify and work around boundary objects and their enabling features to enhance knowledge and identity of both university and teacher participants for more effective research-practice partnerships.

This special issue offers a pioneering set of studies that contributes to an in-depth understanding of how CLS is supporting the current competencies-based reform in China. It also provides concrete future directions for research and practice to enhance university-school partnerships' response to reform.

The Government’s investment in infrastructure projects is considerably high, especially in bridge construction projects. Government authorities must establish an initial forecasted budget to have transparency in transactions. Early cost estimating is challenging for Quantity Surveyors due to incomplete project details at the initial stage and the unavailability of standard cost estimating techniques for bridge projects. To mitigate the difficulties in the traditional preliminary cost estimating methods, there is a requirement to develop a new initial cost estimating model which is accurate, user friendly and straightforward. The research was carried out in Sri Lanka, and this paper aims to develop the artificial neural network (ANN) model for an early cost estimate of concrete bridge systems.

The construction cost data of 30 concrete bridge projects which are in Sri Lanka constructed within the past ten years were trained and tested to develop an ANN cost model. Backpropagation technique was used to identify the number of hidden layers, iteration and momentum for optimum neural network architectures.

An ANN cost model was developed, furnishing the best result since it succeeded with around 90% validation accuracy. It created a cost estimation model for the public sector as an accurate, heuristic, flexible and efficient technique.

The research contributes to the current body of knowledge by providing the most accurate early-stage cost estimate for the concrete bridge systems in Sri Lanka. In addition, the research findings would be helpful for stakeholders and policymakers to propose policy recommendations that positively influence the prediction of the most accurate cost estimate for concrete bridge construction projects in Sri Lanka and other developing countries.

This study aims to propose a technique that establishes a mathematical relationship between width and time, and utilizes a derivative method to determine the initial printable time (tint) for mortar suitable for 3D printing. The study conducted experimental tests on the tint, layer strain, and the relationship between filament width and time. These tests involved plain mortar and mortar reinforced with micro-fibers at varying volume fractions. The tint was determined analytically using the derivative method.

This study introduces a technique to accurately determine the initial printable time (tint) and width/height of printed cement mortar. Precise tint determination is essential for ensuring proper filament printing timing and eliminating the need for trial and error.

Results show that the proposed technique accurately determines the tint, as evidenced by the resemblance between expected and actual initial widths. Fiber-reinforced mortar (FRM) has a smaller tint than plain mortar, which decreases with an increasing fiber content. Additionally, FRM displays smaller layer strains compared to plain mortar.

Results show that the proposed technique accurately determines the tint, as evidenced by the resemblance between expected and actual initial widths. FRM exhibits smaller tint and displays smaller layer strains than plain mortar.

This study introduces a novel technique that uses a mathematical relationship to determine the tint and height of cement mortar printing.

Sociology of sport in China has evolved from being an “exotic” subject to a localized subject over the past 35 years. It is closely associated with social changes, sports policy and athletic achievement of China. As a discipline of humanitarian and social sciences of sport, it is taught in virtually all universities with sports majors. There are about 500 scholars specializing in sport sociology in the country. Textbooks written by Chinese and foreign scholars are published. Academic papers on sport sociology are often published in the 15 accredited core sports journals. The most productive authors are from universities and the developed provinces and municipalities. The established research areas of sport sociology are extensive. These include national identity, athlete mobility, Olympic legacy, sport for all, sports industry issues, feminist studies, community sport, sport for the aged and disabled, etc. However, there are few studies with critical analysis and only a few in the areas of sport and religion, sport and race, and deviance in sport in China. Various kinds of financial support at different levels are available in the country. Empirical research is common with literature review, questionnaire, case study, and interview being the most frequently used methods. However, sport sociology is not considered as a major topic but as a research direction and it is not accepted widely by mainstream sociology. The future of sport sociology is promising, but not without challenges.

This study examines the stakeholder perception of the sustainability risks, challenges and benefits arising from managing these risks in the Singapore construction industry.

A questionnaire consisting of 89 risk factors, challenges and benefits, was administered, with 216 responses received from various stakeholders. Regression analyses were used to estimate the relationships between sustainability and business risk factors, challenges and benefits associated with business sustainability practices.

Stakeholders recognise the importance of the emerging sustainability risk factors, and indeed rank these almost on a par with conventional business risk factors. The inherent business risks determine the nature of sustainability risk factors for construction firms, which in turn can affect their business risks and the performance and value creation of firms. However, most stakeholders, while acknowledging that business sustainability practices can provide benefits as well as posing challenges, do not believe that they can derive net benefits from such practices.

Through this perception study, there is an urgent need to turn the existing awareness of the importance of business sustainability (BS) practices into more consistent and solid actions among construction firms in Singapore.

This study’s results imply construction firms to incorporate BS practices more systematically into their business strategies and operations, and to include sustainability risk factors alongside conventional business risks in their risk registers and risk management frameworks.

This study consolidates various variables and constructs of BS matters in the literature and practice into a meaningful framework for the management of BS in the construction industry.

This special issue aims to address the complexities and dynamics in contemporary China’s citizen-making processes, with a focus on the educational dimension.

The four articles in this special issue present citizen-making processes in both educational and cultural arenas. Based on the rich, first-hand data collected inside and outside China, the researchers revealed the dynamics of the educative processes, as the interplay of different mechanisms produces new understandings of citizenship practice.

This special issue sheds light on the rise of new types of citizens, who are emerging at the grassroots level in China, beyond the state’s strict direct regulations, along with the rise of market forces and multicultural communities in Chinese society today. Contributors to this special issue have captured an ongoing change, in that the diversified citizen-making mechanisms are, to a certain extent, mitigating the party-state’s definitive monopoly on forging citizens and are creating new spaces for individuals to develop fresh forms of political subjectivity and citizenship practice. In this sense, we argue for the unpacking of the citizen-making processes in present-day China not only from the lens of state-dominated, top-down initiatives but also from that of participatory, bottom-up initiatives performed by grassroots groups with differentiated socio-economic statuses and cultural traditions.

This special issue can be regarded as a contribution to the growing field of Chinese citizenship studies, which constitutes an integral part of the unfinished project of citizenship after orientalism.

The paper aims to examine the corporate social responsibility (CSR) activity of audit firms.

Using hand-collected data on all Chinese audit firms’ CSR activities from 2007 to 2020, this study constructs two measures to proxy for audit firms’ CSR engagement: a dummy variable to indicate whether an auditor engages in CSR activities in year t and the frequency with which auditors conduct CSR activities in year t. The authors use ordinary least squares regression as a baseline methodology, along with the entropy balancing method and instrumental variable approach to alleviate potential endogeneity concerns.

The baseline results show that socially responsible audit firms provide higher quality audit services than their counterparts. In particular, the authors find that clients audited by socially responsible audit firms are less likely to receive an aggressively clean opinion. Moreover, the findings suggest that CSR activities related to community and employees are more relevant in improving audit quality compared with those related to other dimensions of CSR. Further analyses show that capital markets and audit clients react positively to audit-firm CSR activity. Audit firms engaging in CSR increase their audit inputs in response to risky clients, as compared with their counterparts. Finally, cross-sectional analyses show that the positive relationship is more pronounced for non-Big 4 and non-industry experts and is attenuated by within-firm geographic dispersion. In terms of client characteristics, the positive effect of audit-firm CSR is stronger when their clients face the higher financial risk or have lower CSR awareness than others. Taken together, these findings are consistent with the ethical view of audit-firm CSR engagement.

The study advances investors’ understanding of audit-firm CSR engagement and helps them evaluate the credibility of audited financial reports. Besides, the findings may also help guide the audit firms to conduct more CSR activities and help guide the audit clients to choose CSR audit firms.

To the best of the authors’ knowledge, this study provides the first large-sample evidence by empirically examining the association between audit-firm CSR activity and audit service performance. Besides, this paper also explores audit-firm CSR activity from two competing perspectives, thereby providing a comprehensive understanding of this issue. Finally, this work responds to the call for more CSR research in emerging markets.