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To address the problem that the current train operation mode that train selects one of several offline pre-generated control schemes before the departure and operates following the scheme after the departure, energy-saving performance of the whole metro system cannot be guaranteed.

A cooperative train control framework is formulated to regulate a novel train operation mode. The classic train four-phase control strategy is improved for generating specific energy-efficient control schemes for each train. An improved brute force (BF) algorithm with a two-layer searching idea is designed to solve the optimisation model of energy-efficient train control schemes.

Case studies on the actual metro line in Guangzhou, China verify the effectiveness of the proposed train control methods compared with four-phase control strategy under different kinds of train operation scenarios and calculation parameters. The verification on the computation efficiency as well as accuracy of the proposed algorithm indicates that it meets the requirement of online optimisation.

Most existing studies optimised energy-efficient train timetable or train control strategies through an offline process, which has a defect in coping with the disturbance or delays effectively and promptly during real-time train operation. This paper studies an online optimisation of cooperative train control based on the rolling optimisation idea, where energy-efficient train operation can be realised once train running time is determined, thus mitigating the impact of unpredictable operation situations on the energy-saving performance of trains.

The purpose of this paper is to introduce the special issue on “Entrepreneurial migration: characteristics, causes and effects”.

Literature review.

Studies on immigrant entrepreneurship have become increasingly popular and the importance of social context and social connections has been recognized by scholars. However, research on their effects on immigrant entrepreneurship has been rather limited. This special issue explains the essential steps of the entrepreneurial process by immigrants (i.e. host country choice, entrepreneurial engagement, new venture creation, business network development and corporate political activities) and discusses the effects of immigrant entrepreneurs on their host countries.

The paper presents a review of literature on entrepreneurial migration and social impacts.

This paper investigates the policy changes made towards infrastructure public–private partnerships (PPPs). The purpose of this study is to empirically identify the policy risks associated with the development of PPPs and to assess their impacts on the projects.

A case study of the policy changes that have been implemented for PPPs in China over the past seven years has been undertaken and is presented in this study. The causal loop diagrams are applied to assess and illustrate the potential impacts of the risks as a result of such changes on PPPs.

A sequence of the policy risks, which relate to PPP risk allocation, contract management and implementation, payment and abatement mechanisms and financing, has been identified. It is also found that the identified risks will generate significant but negative impacts on PPPs, leading to an ineffective project delivery, low revenue, poor service quality and even contract breach.

This research provides the private-sector entities that will embark on PPPs with an insight into managing and controlling policy risks over the project's lifecycle.

PPPs have been critical for infrastructure development worldwide. Nevertheless, they have been a controversy, as many of them were subjected to poor outputs. Consequently, a variety of political mechanisms has been implemented to enhance the governance for PPPs. Policy can bring not only benefits but also risks and, however, policy risks of PPPs with a particular assessment for their potential impacts have received limited attention. Therefore, the study presented in this paper will contribute to the identification and assessment of policy risks within the context of PPPs.

The collaborative filtering algorithm is a classical and widely used approach in product recommendation systems. However, the existing algorithms rely mostly on common ratings of items and do not consider temporal information about items or user interests. To solve this problem, this study proposes a new user-item composite filtering (UICF) recommendation framework by leveraging temporal semantics.

The UICF framework fully utilizes the time information of item ratings for measuring the similarity of items and takes into account the short-term and long-term interest decay for computing users’ latest interest degrees. For an item to be probably recommended to a user, the interest degrees of the user on all the historically rated items are weighted by their similarities with the item to be recommended and then added up to predict the recommendation degree.

Comprehensive experiments on the MovieLens and KuaiRec datasets for user movie recommendation were conducted to evaluate the performance of the proposed UICF framework. Experimental results show that the UICF outperformed three well-known recommendation algorithms Item-Based Collaborative Filtering (IBCF), User-Based Collaborative Filtering (UBCF) and User-Popularity Composite Filtering (UPCF) in the root mean square error (RMSE), mean absolute error (MAE) and F1 metrics, especially yielding an average decrease of 11.9% in MAE.

A UICF recommendation framework is proposed that combines a time-aware item similarity model and a time-wise user interest degree model. It overcomes the limitations of common rating items and utilizes temporal information in item ratings and user interests effectively, resulting in more accurate and personalized recommendations.

The unprecedented SARS-CoV-2 (COVID-19) pandemic has further constrained the budgets of governments worldwide for delivering their much-needed infrastructure. Consequently, public-private partnerships (PPPs), with the private sector's investment and ingenuity, would appear to be an increasingly popular alternative. Value for money (VfM) has become the major criterion for evaluating PPPs against the traditional public sector procurement and, however, is plagued with controversy. Hence, it is important that governments compare and contrast their practice with similar and disparate bodies to engender best practice. This paper, therefore, aims to understand governments' assessment context and provide a cross-continental comparison of their VfM assessment.

Faced with different domestic contexts (e.g. aging infrastructure, population growth, and competing demands on finance), governments tend to place different emphases when undertaking the VfM assessment. In line with the theory of boundary spanning, a cross-continental comparison is conducted between three of the most noticeable PPP markets (i.e. the United Kingdom, Australia and China) about their VfM assessment. The institutional level is interpreted by a social, economic and political framework, and the methodological level is elucidated through a qualitative and quantitative VfM assessment.

There are individual institutional characteristics that have shaped the way each country assesses VfM. For the methodological level, we identify that: (1) these global markets use a public sector comparator as the benchmark in VfM assessment; (2) ambiguous qualitative assessment is conducted only against PPPs to strengthen their policy development; (3) Australia's priority is in service provision whereas that of the UK and China is project finance and production; and (4) all markets are seeking an amelioration of existing controversial VfM assessments so that purported VfM relates to project lifecycles. As such, an option framework is proposed to make headway towards a sensible selection of infrastructure procurement approaches in the post COVID-19 era.

This study addresses a current void of enhancing the decision-making process for using PPPs within today's changing environment and then opens up an avenue for future empirical research to examine the option framework and ensuing VfM decisions. Practically, it presents a holistic VfM landscape for public sector procurers that aim to engage with PPPs for their infrastructure interventions.

The purpose of this paper is to integrate the upper echelon theory with signaling theory and examine the impact of top management team (TMT) on the initial public offering (IPO) performance of Chinese firms in the USA.

This study used Security Data Corporation (SDC) that is a central database for foreign IPOs in the USA. The authors identified 142 Chinese firms that issued stocks on the US markets between 2003 and 2014. This study used firm’s final prospectuses to collect data manually.

This study finds that the TMT characteristics such as functional heterogeneity and international exposure convey the positive signal of firm’s legitimacy to the US investors and increase the IPO performance.

This study extends the upper echelon perspective that has previously overlooked the signaling value of TMT characteristics in the foreign IPO studies. The top management plays an important role to the firm’s successful foreign market listing. Since China joined the WTO in 2001, a large number of Chinese firms have started IPOs in the USA, but there is a dearth of research on these firms. This study aims to contribute to the study of international business and management and describes that the TMT functional heterogeneity and international exposure have a significant role in the success of Chinese foreign IPOs.

This study aims to explore the antecedents of bootlegging from the perspective of paradoxical leadership. Based on the theory of planned behavior (TPB), it examines a multiple mediation model with harmonious innovation passion, role breadth self-efficacy and perceived error management culture as mediators, to interpret why paradoxical leadership influences employee bootlegging.

To test the theoretical model, data were collected from 218 full-time employees from enterprises in Chinese cities using a three-wave time-lagged design. Path-analysis and a bootstrapping approach in Mplus7 were used to examine the hypotheses of the theoretical model.

The results show that paradoxical leadership has a positive influence on bootlegging. In the multiple mediation model, the effect paths of harmonious innovation passion and role breadth self-efficacy are significant but there is an insignificant difference in their power, while the effect path of perceived error management culture is insignificant, although it has a significant simple mediating effect and sequential mediating effect.

This study is among the first to show the influence of paradoxical leadership on bootlegging, responding to the research call to use the paradoxical factors to capture the antecedents of innovative behaviors. Second, this study enriches the outcomes of paradoxical leadership, that of bootlegging. Third, this study provides a TPB-based mechanism of how paradoxical leadership promotes bootlegging by increasing employees’ harmonious innovation passion, role breadth self-efficacy and perceived error management culture. This provides a new theoretical perspective to explain the relationship between paradoxical leadership and employee bootlegging. It also responds to the call for exploration of the multiple pathways of leadership.

The original powder commonly used for laser 3D printing is atomized alloy powder. The purpose of this study is to investigate the effect of ball milling (BM) on the structure and performances of the alloy powder and its composite products.

BM powder of Ni-Cr-graphite elements was subjected to laser cladding forming and the effect of BM on the powder structure was studied by X-ray diffraction, metallographic microscopy and scanning electron microscopy. The laser cladding-formed coatings were also tested by reciprocating friction measures and electrochemical corrosion experiment.

The results showed that the grains of laser cladding-formed Cr3C2-NiCr coating of BM powder were more refined compared to the coating of the atomized powder. Moreover, the abrasion resistance and corrosion resistance were slightly improved.

This work offers guidance for new original powder selection for laser 3D printing/powder bed forming/selective laser melting applications.

Integrating social network theory with signaling theory, the purpose of this research is to examine the impact of corporate political connections and executive’s international experience on Chinese firms initial public offerings (IPOs) performance in the USA.

This study used Securities Data Company (SDC) New Issues database to identify all Chinese firms that went public in the USA between 2003 and 2014. Consistent with previous research, IPO firms excluded from the sample include merger or acquisitions, spin-offs and initial stage listed firms. The final sample size is of 142 Chinese foreign IPOs in the US markets.

This study finds that firms with political connections perform significantly poor than firms without political connections. It shows that US stock markets react to the signals of political connections of Chinese foreign IPOs. In response, the Chinese foreign IPOs can signal international work experience of top executives to US investors. The results show that the executives’ international work experience has significant positive relationships on foreign IPO performance of Chinese firms. Moreover, this study finds that the interaction between corporate political connections and international experience pursues positive effects on the performance of foreign IPOs.

This research intends to extend the knowledge of how corporate political connections and international work experience affects the performance of Chinese firms attempting to access US capital markets. To date, scholars have not investigated the influence of corporate political connections on the amount of capital raised by foreign IPOs.