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The purpose of this paper is to provide an effective solution method for the truck and trailer routing problem (TTRP) which is one of the important NP-hard combinatorial optimization problems owing to its multiple real-world applications. It is a generalization of the famous vehicle routing problem (VRP), involving a group of geographically scattered customers served by the vehicle fleet including trucks and trailers.

The meta-heuristic solution approach based on bat algorithm (BA) in which a local search procedure performed by five different neighborhood structures is developed. Moreover, a self-adaptive (SA) tuning strategy to preserve the swarm diversity is implemented. The effectiveness of the proposed SA-BA is investigated by an experiment conducted on 21 benchmark problems that are well known in the literature.

Computational results indicate that the proposed SA-BA algorithm is computationally efficient through comparison with other existing algorithms found from the literature according to solution quality. As for the actual computational time, the SA-BA algorithm outperforms others. However, the scaled computational time of the SA-BA algorithm underperforms the other algorithms.

In this work the authors show that the proposed SA-BA is effective as a method for the TTRP problem. To the authors’ knowledge, the BA has not been applied previously, as in this work, to solve the TTRP problem.

Steered by upper echelon theory, this study aims to scrutinize the prevalence of project manager demographic factors (age, education and experience) in project sustainability management and project performance.

We used a sample of 209 project managers/supervisor/team leaders who were working in the projects of the China-Pakistan Economic Corridor (CPEC).

The results indicate that project manager demographic factors have a significant influence on project performance (except experience) and project sustainability management. Moreover, project sustainability management partially mediates the relationship between age, education and project performance while it fully mediates the path between experience and project performance.

The research recommends senior, high educated and experienced managers for CPEC who promote sustainability and gain high project performance.

A number of studies have been carried out to assess the relationship between top managers’ attributes and environmental activities. However, so far, none of the studies has paid attention to the CPEC and projects working in Pakistan.

Environmental turbulence represents a double-edged sword, simultaneously fueling and hindering a firm’s entrepreneurial orientation (EO). Drawing on the theories of EO and network relationships, this study aims to develop and test a conceptual model that provides a nuanced account of the relationship between environmental turbulence and firm EO.

Data for this study were collected using a survey of high-technology firms in Hsinchu Science Park (HSP) in Taiwan. Questionnaires were mailed to 297 high-technology firms in the semiconductor, photoelectric and communication industries within HSP. Completed questionnaires were received from 94 firms, which included responses from 94 research and development managers and 462 employees.

The results reveal that the degree of environmental turbulence exhibits an inverted U-shaped relationship with a firm’s EO. Moreover, this relationship is positively moderated by network relationships between firms, but negatively moderated by organizational inertia.

The empirical and conceptual findings have important implications for understanding EO, because the findings explain causal relationships that transform a firm’s interactive and inner control capabilities into firm-level results.

Increasing academic communities and practitioners begin to explore a novel method to reduce environmental pollution and realize green logistics delivery. Additionally, China's Statistical Yearbook shows that the number of private cars has reached 165 million in China. Under this background, this study proposes a green delivery method by the combination of sharing vehicle (private cars) and IoT (Internet of things) from the perspective of vehicle energy efficiency and aims to improve the energy efficiency of social vehicles and provides more convenient delivery services.

This study builds an IoT architecture consisting of customer data layer, information collection layer, cloud optimization layer and delivery task execution layer. Especially in the IoT architecture, a clustering analysis method is used to determine the critical value of customers' classification and shared delivery, a routing optimization method is used to solve the initial solution in could layer and shared technology is used in the implementation of shared delivery.

The results show that the delivery method considering shared vehicles has a positive effect on improving the energy utilization of vehicles. But if all of delivery tasks are performed by the shared vehicle, the application effect may be counterproductive, such as delivery cost increases and energy efficiency decreases. This study provides a good reference for the implementation of green intelligent delivery business, which has a positive effect on the improvement of logistics operation efficiency.

This study designs a novel method to solve the green and shared delivery issues under the IoT environment, which integrates the IoT architecture. The proposed methodology is applied in a real case in China.

The present study aims to develop a vortex method capable for solving the complex vortical flows past the moving/deforming bodies.

To achieve such a goal, some innovative work is conducted on the basis of vortex-in-cell (VIC) method that uses the improved semi-Lagrangian scheme. The penalization technique is incorporated with the VIC, which makes the complex boundaries of moving/deforming bodies readily treated. Iterative algorithm is further proposed for the penalization and used to solve the Poisson equation, which enhances the vorticity solution accuracy at the body boundary.

The developed method is used to simulate some distinct flows of different boundaries and features: the impulsively started circular cylinder flow represents the one-way coupling; the falling circular cylinder flow and ellipse leaf flow both represent the two-way coupling of moving boundary; the fish-like body flow represents the two-way fluid-structure interaction of deforming boundary. The vortical physics of the above flows are well revealed, and the developed method is proven capable in dealing with the complex fluid-structure interaction problems.

The penalization technique is incorporated with the semi-Lagrangian VIC method, which makes the complex boundaries of moving/deforming bodies readily treated. An iterative algorithm is further proposed for the penalization and used to solve the Poisson equation, which enhances the vorticity solution accuracy at the body boundary. The complex vortical physics of the moving/deforming body flows are well revealed, and the propulsive mechanism of fish-like swimmer is well illustrated with the present method.

Sharing and disseminating debunking information are critical to correcting rumours and controlling disease when dealing with public health crises. This study investigates the factors that influence social media users' debunking information sharing behaviour from the perspective of persuasion. The authors examined the effects of argument adequacy, emotional polarity, and debunker's identity on debunking information sharing behaviour and investigated the moderating effects of rumour content and target.

The model was tested using 150 COVID-19-related rumours and 2,349 original debunking posts on Sina Weibo.

First, debunking information that contains adequate arguments is more likely to be reposted only when the uncertainty of the rumour content is high. Second, using neutral sentiment as a reference, debunking information containing negative sentiment is shared more often regardless of whether the government is the rumour target, and information containing positive sentiment is more likely to be shared only when the rumour target is the government. Finally, debunking information published by government-type accounts is reposted more often and is enhanced when the rumour target is the government.

The study provides a systematic framework for analysing the behaviour of sharing debunking information among social media users. Specifically, it expands the understanding of the factors that influence debunking information sharing behaviour by examining the effects of persuasive cues on debunking information sharing behaviour and the heterogeneity of these effects across various rumour contexts.

The purpose of this paper is to examine the influence of clients' trust, opportunism and adaptation on contractual (non)cooperation with a mediating role of coordination in the construction industry.

A questionnaire was used to collect data from employees of the Pakistani construction industry. Smart partial least square (SmartPLS) has been used for analyzing the data of 270 respondents from construction projects.

The results of the SmartPLS indicate that (1) Trust and contract coordination positively while opportunism negatively influence contractor's contractual cooperation. (2) Contract adaptation and contract coordination positively influence the noncontractual cooperation of the contractor. (3) Moreover, contract coordination positively mediates the relationship between trust and noncontractual cooperation, but negatively mediates the relationship between opportunism and contract adaptation and noncontractual cooperation.

The findings of this research suggest several policy implications for administrative authorities, project managers and policymakers. These authorities need to focus on clients' trust, opportunism and adaptation because these factors significantly influence contract coordination and cooperation in the construction industry. Emphasizing these factors will enable project managers to gain economies of scale and mitigate project failure.

To the best of the authors’ search and knowledge, they did not find any study examining the mediating role of coordination between trust, opportunism, adaptation and cooperation in the construction industry. Hence, the present study advances their understanding in the field of project management and construction business.

With rapid industrialization and urbanization, municipal solid waste (MSW) management has become a serious challenge worldwide, especially in developing countries. The Beijing Municipality is a representative example of many local governments in China that are facing MSW management issues. Although there have been studies in the area of MSW management in the literature, less attention has been devoted to developing a structured framework that identifies and interprets the barriers to MSW management in megacities, especially in Beijing. Therefore, this study focuses on identifying a comprehensive list of barriers affecting the successful implementation of MSW management in Beijing.

Through an extensive review of related literature, 12 barriers are identified and classified into five categories: government, waste, knowledge dissemination, MSW management process and market. Using an integrated approach including the decision-making trial and evaluation laboratory (DEMATEL), maximum mean de-entropy algorithm (MMDE) and interpretive structural modeling (ISM), a conceptual structural model of MSW implementation barriers is constructed to provide insights for industrial decision-makers and policymakers.

The results show that a lack of economic support from the government, imperfect MSW-related laws and regulations, the low education of residents and the lack of publicity of waste recycling knowledge are the main barriers to MSW management in Beijing. Combined with expert opinions, the paper provides suggestions and guidance to municipal authorities and industry practitioners to guide the successful implementation of MSW management.

The findings of this study can provide a reference for MSW management in other metropolises in China and other developing countries.

This study proposes a hybrid DEMATEL-MMDE-ISM approach to resolve the subjectivity issues of the traditional ISM approach and it analyzes the barriers that hinder MSW management practices in Beijing.

In the last decade, cloud manufacturing (CMfg) has attracted considerable attention from academia and industry worldwide. It is widely accepted that the design and analysis of cloud manufacturing architecture (CMfg-A) are the basis for developing and applying CMfg systems. However, in existing studies, analysis of the status, development process and internal characteristics of CMfg-A is lacking, hindering an understanding of the research hotspots and development trends of CMfg-A. Meanwhile, effective guidance is lacking on the construction of superior CMfg-As. The purpose of this paper is to review the relevant research on CMfg-A via identification of the main layers, elements, relationships, structure and functions of CMfg-A to provide valuable information to scholars and practitioners for further research on key CMfg-A technologies and the construction of CMfg systems with superior performance.

This study systematically reviews the relevant research on CMfg-A across transformation process to internal characteristics by integrating quantitative and qualitative methods. First, the split and reorganization method is used to recognize the main layers of CMfg-A. Then, the transformation process of six main layers is analysed through retrospective analysis, and the similarities and differences in CMfg-A are obtained. Subsequently, based on systematic theory, the elements, relationships, structure and functions of CMfg-A are inductively studied. A 3D printing architecture design case is conducted to discuss the weakness of the previous architecture and demonstrate how to improve it. Finally, the primary current trends and future opportunities are presented.

By analyzing the transformation process of CMfg-A, this study finds that CMfg-A resources are developing from tangible resources into intangible resources and intelligent resources. CMfg-A technology is developing from traditional cloud computing-based technology towards advanced manufacturing technology, and CMfg-A application scope is gradually expanding from traditional manufacturing industry to emerging manufacturing industry. In addition, by analyzing the elements, relationships, structure and functions of CMfg-A, this study finds that CMfg-A is undergoing a new generation of transformation, with trends of integrated development, intelligent development, innovative development and green development. Case study shows that the analysis of the development trend and internal characteristics of the architecture facilitates the design of a more effective architecture.

This paper predominantly focuses on journal articles and some key conference papers published in English and Chinese. The reason for considering Chinese articles is that CMfg was proposed by the Chinese and a lot of Chinese CMfg-A articles have been published in recent years. CMfg is suitable for the development of China’s manufacturing industry because of China’s intelligent manufacturing environment. It is believed that this research has reached a reliable comprehensiveness that can help scholars and practitioners establish new research directions and evaluate their work in CMfg-A.

Prior studies ignore the identification and analysis of development process and internal characteristics for the current development of CMfg-A, including the main layers identification of different CMfg-As and the transformation process analysis of these main layers, and in-depth analysis of the inner essence of CMfg-A (such as its elements, relationships, structure and functions). This study addresses these limitations and provides a comprehensive literature review.

This article examines the effects and implications of the 2019 social movement in Hong Kong and those of the enactment of the National Security Law (NSL) for Hong Kong for one country two systems (OCTS). It further explores how these factors potentially promote or threaten the intrinsic value of OCTS a normative consensus. It also discusses the factors underpinning the rationale of OCTS as a normative consensus and whether this consensus is inviolable and sustainable.

This article uses the concept of selective adaptation, especially the element of complementarity to explainthe legal behaviour of the Peopleʼs Republic of China (PRC) in relation to Hong Kong and to examine the effects and implications of the 2019 social movement in Hong Kong and those of the enactment of the NSL for Hong Kong for OCTS. It further explores how these factors potentially promote or threaten the intrinsic value of OCTS a normative consensus. It also discusses the factors underpinning the rationale of OCTS as a normative consensus and whether this consensus is inviolable and sustainable.

It is still possible and feasible for China and the West to work out a normative consensus to sustain and/or restore the core values of Hong Kong – the rule of law, freedom of expression, and political participation – while accommodating the PRC's political concerns about national sovereignty and security. This intrinsic value of OCTS in terms of seeking complementarity and coexistence between the Western liberal norms of governance and Chinese socialist ideology, should be acknowledged and that the OCTS policy should remain in full force to serve as a normative consensus between China and the West, and the feasibility of this proposed normative consensus rests on the PRC's self-interest.

This is one of the very few original research that applies the paradigm of selective adaptation to explain and understand the legal behaviour and phenomenon in relation to PRC's policy towards Hong Kong.