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Using the evidence of Chinese outbound mergers and acquisitions (M&As) enacted between 2006 and 2014, this study aims to investigate the role played by home political connections on the cost implications of Chinese multinationals. It also examines whether home political connections – at different levels and of different configurations – impact the operational cost of Chinese multinationals.

The data were analysed using a multivariate regression model. To examine their heterogeneous effect on Chinese multinationals, the political connection data were further split into higher and lower level political connections and in chief executive officer (CEO) and chairperson political connections.

This study implies the negative effect of home political connections on the internationalisation of Chinese multinationals. At the same time, the impact of lower-level political connections is stronger than that of their higher-level counterparts. Moreover, CEO political connections have a stronger effect on the operational costs of Chinese multinationals than their Chairperson equivalents.

By unravelling the “black box” of Chinese internationalisation from the social exchange perspective, through the informal political connection networking ties between Chinese firms and the government, this study advances emerging market multinational theory, contributes to the understanding of the heterogeneous nature of political connections and sheds new light on social exchange theory from the perspective of the emerging phenomenon of Chinese internationalisation.

Building trust is critical in reverse mergers and acquisitions (M&As), attributed to the divergence of governance and culture between the East and the West. This paper aims to explore the barriers and trust-building practices of Chinese managers in reverse M&As in developed countries.

The primary data set of this research contains case studies of two Chinese M&A deals and in-depth interviews with managers and advisories in the Netherlands.

This research finds that the divergences of decision-making structure, communication style and trust orientation generate barriers to the trust building in Chinese reverse M&As. The third-party advisory participation helps to build cognition-based trust of acquired company managers on Chinese acquiring company managers through providing information and explanation, fitting Chinese buyers in the Western M&A procedure and offering communication. It also helps to build affect-based trust through bridging the divergence of trust orientation and filling the cultural voids. Meanwhile, the invisible integration helps to build cognition-based trust through maintaining the core business, offering great help to acquired companies for their business expansion and selecting the business collaboration areas in the long term. It also helps to build affect-based trust through granting a high degree of governance independence and enabling a balanced status in acquired companies.

This research unveils the “black box” of Chinese reverse M&As from an inter-personal trust perspective and advances the nuanced understanding of trust and trust-building practices in Chinese reverse M&As. It also provides practical tools for both Chinese companies and acquired companies in developed countries.

The study aims to examine the effects of guanxi and harmonious leadership on acquisition performance and the role of sociocultural integration as a mediating mechanism impacting the above links, with a focus on Chinese cross-border acquisitions in The Netherlands.

Data were collected through survey questionnaire with 91 respondents who work in Dutch-acquired companies. Regression analysis was used for exploring the relationship.

The study finds that both guanxi and harmonious leadership are positive to acquisition performance, and sociocultural integration represents a significant mediating mechanism by which guanxi and harmonious leadership can result in improved acquisition performance.

This study contributes to culture research by emphasizing the clarification of specific Chinese cultural values and cultural practices in cross-border acquisitions and examining the role of guanxi and harmonious leadership in acquisition performance. Meanwhile, this study helps to unveil Chinese cross-border acquisitions in The Netherlands by examining the mediating force – sociocultural integration.

The purpose of this paper is to unpack the black box of post-merger and acquisition (M&A) integration of reverse M&A by Chinese multinational enterprises (MNEs).

This research adopts multiple cases of Chinese reverse M&A. Data are collected using the approaches of in-depth interviews, storytelling and narratives.

This research identifies various antecedents underlying Chinese post-M&A integration, such as asymmetries in resources, capabilities, vision and status between Chinese MNEs and acquired firms. The post-M&A integration process of Chinese reverse M&A consists of a top-down effortless integration initiated by Chinese MNEs with both benefits and problems, and a bottom-up reverse integration conducted by acquired firms.

By linking the pre-M&A phase and the post-M&A phase, this research builds a new model of post-M&A integration of Chinese reverse M&A from an indigenous Wu Wei paradigm. The new model counterpoises extant literature, shifting from the task and efficiency-focussed view to the people and harmony-focussed view.

Depression has become one of the most serious and prevalent mental health problems worldwide. The rise and popularity of social networks such as microblogs provides a wealth of psychological data for early depression detection. Language use patterns reflect emotional states and psychological traits. Differences in language use between depressed and general users may help predict and diagnose early depression. Existing work focuses on depression detection using users' social textual emotion expressions, with less psychology-related knowledge.

In this paper, we propose an RNN-capsule-based depression detection method for microblog users that improves depression detection accuracy in social texts by combining textual emotional information with knowledge related to depression pathology. Specifically, we design a multi-classification RNN capsule that enhances emotion expression features in utterances and improves classification performance of depression-related emotional features. Based on user emotion annotations over time, we use integrated learning to detect depression in a user’s social text by combining the analysis results with components such as emotion change vector, emotion causality analysis, depression lexicon and the presence of surprising emotions.

In our experiments, we test the accuracy of RNN capsules for emotion classification tasks and then validate the effectiveness of different depression detection components. Finally, we achieved 83% depression detection accuracy on real datasets.

The paper overcomes the limitations of social text-based depression detection by incorporating more psychological background knowledge to enhance the early detection success rate of depression.

Despite the growing research exploring the possibility and feasibility of financing socially oriented projects through crowdfunding, relatively little research examines which crowdfunding model is better to serve such purpose. The purpose of this paper is to offer novel insights to mitigate this research gap.

A unique data set collected from the largest Chinese crowdfunding platform is used to test the hypotheses. To solve the perceived self-selection problem, the propensity score matching method is adopted in this paper. Based on this approach, the results of similar prosocial campaigns in two different models (pure donation and hybrid donation) are compared.

The empirical results show that the hybrid donation model is negatively associated with the status of success and the extent of success of prosocial campaigns. Specifically, compared to the pure donation model, hybrid donation model leads to a lower probability of success, fewer contributors, a lower funding amount and a lower completion ratio.

The paper contributes to a relatively understudied theme in crowdfunding, namely, donations. It does so by introducing the concepts of pure vs hybrid donation models and investigates the model selection problem in financing social projects through crowdfunding based on cognitive evaluation theory.

Assembly errors of aeroengine rotor must be controlled to improve the aeroengine efficiency. However, current method cannot truly reflect assembly errors of the rotor in working state owing to difficulties in error analysis. Therefore, the purpose of this study is to establish an optimization method for aeroengine rotor stacking assembly.

The assembly structure of aeroengine rotor is featured. Rotor eccentricity is optimized based on Jacobian–Torsor model. Then, an optimization method for assembly work is proposed. The assembly process of the high-pressure compressor rotor and the high-pressure turbine rotor as the rotor core assembly is mainly considered.

An aeroengine rotor is assembled to verify the method. The results show that the predicted eccentricity differed from the measured eccentricity by 6.1%, with a comprehensive error of 8.1%. Thus, the optimization method has certain significance for rotor assembly error analysis and assembly process optimization.

In view of the error analysis in the stacking assembly of aeroengine rotor, an innovative optimization method is proposed. The method provides a novel approach for the aeroengine rotor assembly optimization and is applicable for the assembly of high-pressure compressor rotor and high-pressure turbine rotor as the rotor core assembly.

This study aims to provide a microfluidic blood glucose sensing platform based on integrated interdigitated electrode arrays (IDEAs) on a flexible quartz glass substrate, adhering closely to pertinent electrochemical characterizations.

Sensors are the key elements of the modern electronics era through which all the possible physical quantities can be detected and converted into their equivalent electrical form and processed further. But to make the sensing environment better, various types of innovative architectures are being developed nowadays and among them interdigitated electrodes are quite remarkable in terms of their sensing capability. They are a well-qualified candidate in the field of gas sensing and biosensing, but even their sensitivities are getting saturated due to their physical dimensions. Most of the thin film IDEAs fabricated by conventional optical lithographic techniques do not possess a high surface-to-volume ratio to detect the target specified and that reduces their sensitivity factor. In this context, a classic conductive carbon-based highly sensitive three dimensional (3D) IDEA-enabled biosensing system has been conceived on a transparent and flexible substrate to measure the amount of glucose concentration present in human blood. 3D IDEA possesses a way better capacitive sensing behavior compared to conventional thin film microcapacitive electrodes. To transmit the target biological analyte sample property for the detection purpose to the interdigitated array-based sensing platform, the design of a microfluidic channel is initiated on the same substrate. The complex 3D Inter Digital array structure improves the overall capacitance of the entire sensing platform and the reactive surface area as well. The manufactured integrated device displays a decent value of sensitivity in the order of 5.6 µA mM⁻¹ cm⁻².

Development of a low-cost array-based integrated and highly flexible microfluidic biochip to extract the quantity of glucose present in human blood.

Potential future research opportunities in the realm of integrated miniaturized, low-cost smart biosensing systems may arise from this study.

Elastic rings served as the elastic supporting elements which have been extensively used in the aeroengines for maneuverable planes with high overloading. However, under extreme conditions, the elastic ring contacts the bearing seat, causing elastic ring failure. Therefore, it is necessary to optimize the matching parameters of the elastic ring in order to suppress the occurrence of elastic ring failure under harsh working conditions.

In this paper, a rotor system supported by elastic rings is researched and a multi-objective parameter matching method of elastic ring is proposed, considering the elastic ring failure, rotor system’s frequency forbidden zone and rotor system’s dynamic response. Then, the particle swarm optimization algorithm is used to dynamically constrain the parameter matching space and obtain the ideal solution for the elastic ring parameter matching.

By analyzing the elastic ring’s matching results (different unbalanced forces and disk masses), the relationship between the trend of Pareto front changes and rotor system parameters is studied. In addition, the rotor system’s dynamic characteristics before and after parameter matching are analyzed.

This article provides guidance for the design of elastic rings by matching the parameters of elastic rings.

The main purpose of this study is to examine the direct relationship between police officers' perceived technology utilization and their perception of external procedural injustice, as well as the indirect relationship through perceived self-legitimacy.

This study used survey data collected from 1,944 police officers in a northern Chinese province. Structural equation modeling (SEM) was performed to assess the direct and indirect associations between technology utilization and external procedural injustice.

Technology efficacy was negatively associated with external procedural injustice and positively associated with both self-legitimacy and public-defined legitimacy. Furthermore, officers’ self-perceived legitimacy is negatively associated with their support for procedurally unjust behaviors, while officers’ perception of public-defined legitimacy, unexpectedly, is positively related to their endorsement of procedural injustice. Conversely, technology difficulty was positively related to external procedural injustice and negatively associated with public-defined legitimacy.

The present study represents a first attempt to link technology utilization to external procedural injustice in the policing literature. This study provides needed evidence to support the importance role of technology utilization in shaping police officers’ occupational attitudes toward themselves and the public in an authoritarian country.