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This paper aims to explore how the establishment modes used by emerging economy multinational corporations (EE-MNCs) influence their subsequent experiences of liability of origin (LOO) in developed economies based on the causal-model theory of categorization.

Taking Chinese listed firms' direct investments in developed economies as the sample, this paper utilizes Heckman (1979)'s self-selection model to examine the effect of establishment modes. Besides, when checking the robustness, subsample analyses and 2SLS regressions are used to rule out the alternative explanation associated with LOO mitigation.

EE-MNCs that enter a developed economy by greenfield investment experience heightened LOO while entries using M&A are associated with the mitigated liability. When EEMNCs enter a more institutionally distant developed country, the establishment modes will be more determinant of their subsequent experiences of this liability. Moreover, the effect of establishment modes can recede when EE-MNCs have established their presence in a developed country for a longer time.

This paper utilizes the causal-model theory of categorization to articulate the underlying mechanisms through which the country-of-origin cue is weakened by the cue transmitted by M&A. It further considers the context-saliency of the cue of M&A and clarifies boundary conditions for the effectiveness of this establishment mode to mitigate LOO.

The purpose of this paper is to investigate the role of cross-listing in overcoming liability of origin (LOO) facing emerging economy corporations (EECs).

This paper takes Chinese firms' cross-listing in Hong Kong and the firms' establishment of international joint ventures (IJVs) with foreign partners as the research setting. This is an empirical study using Heckman's self-selection model as the primary econometric technique and two-stage least square (2SLS) regressions as the supplementary estimation procedure.

Cross-listing in developed economies can serve as a signal for EECs to overcome the LOO. In addition, the regional institutional voids of emerging economies (EEs) and state ownership are prominent boundary conditions shaping this effect.

Only Chinese firms and the firms' cross-listing in Hong Kong are considered for the empirical context as a result of data availability.

This paper provides a practical solution for EECs whose internationalisation tends to be hindered by the LOO.

This study is of high importance in that it centres on a distinctive and challenging problem faced with EECs—the LOO. Besides, it ascribes this liability to a matter of information asymmetries and explores how cross-listing can serve as a signal to cope with this challenge.

The primary aim of this article is to develop an understanding that resolves and integrates the conflicting findings with regard to the effects of platform-owner entry on the innovation of individual complementors.

Drawing on the platform ecosystem literature and the profiting from innovation (PFI) framework, this study presents a conceptual model that articulates how developers' marketing capabilities and the size of platform's installed base are two key moderators that explain the conflicting results between platform-owner entry and complementor innovations.

This article theorizes that platform owners' entry stimulates developers' innovations when the size of platform's installed base is large or when developers' marketing capabilities are strong while the entry can discourage innovations otherwise.

By proposing the conceptual model, this article makes important theoretical contributions to the rising literature on platform governance and complementor innovations. It lays a foundation for future research exploring the implications of platform-owner entry.

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.

Planning for underground spaces has become an effective way to use central areas in cities given the steady economic growth in China. The development of underground spaces in mountainous cities has satisfied the needs of the diversification of the city commercial areas and pedestrian movement. Safety issues exist because these underground spaces were originally used for civil air defense. This study was based on the underground commercial street in Chongqing, which is a typical mountainous city. Based on the results of combined fieldwork and survey, this paper summarized current safety issues, which include the not-fully-open exit, the imbalanced exit location, blocked evacuation routes, and the poor awareness of the potential safety issues. This paper proposed a framework of the safety factors for the underground space and synopsized prevention strategies that are specific to potential disasters in the underground environment. The framework comprises ensuring that the exits are fully open, the underground corridors are kept unblocked, the open space on the street is increased for disaster prevention, and equipment security is maintained and managed. At last, This paper summarized disaster prevention strategies, which include ensuring unimpeded exits, balancing the locations of the exits, avoiding blocks, increasing the disaster prevention square area in the underground space, maintaining and managing the security of the equipment.

The purpose of this manuscript is to analyze the fusion micro-zone generated by typical rough surfaces and investigate the factors of thermal effects on the tribological performance of surface asperities and its results verified by the experiment.

A three-dimensional fractal rough surfaces sliding contact model has been developed, which takes into account temperature rise and distribution. The finite-element method, Green's function method, thermal conduct theory and contact mechanics are used as the solution methods.

The results yield insights into the effects of the sliding velocity, thermal properties of the material, normal load and surface roughness on the temperature rise of the sliding contact surface. It allows the specification of working conductions' properties to reduce fusion.

The model is developed and described by using the features of the contact between one flat surface and one rough surface with varied topographies. It can be easily applied for solving the sliding contact problems with different working conditions and specified for designing the surface accuracy in the severe working condition.

The aim of this work is to research and design an expert diagnosis system for rail vehicle driven by data mechanism models.

The expert diagnosis system utilizes statistical and deep learning methods to model the real-time status and historical data features of rail vehicle. Based on data mechanism models, it predicts the lifespan of key components, evaluates the health status of the vehicle and achieves intelligent monitoring and diagnosis of rail vehicle.

The actual operation effect of this system shows that it has improved the intelligent level of the rail vehicle monitoring system, which helps operators to monitor the operation of vehicle online, predict potential risks and faults of vehicle and ensure the smooth and safe operation of vehicle.

This system improves the efficiency of rail vehicle operation, scheduling and maintenance through intelligent monitoring and diagnosis of rail vehicle.

In response to the world’s rising awareness on sustainability, industry players and policymakers are devoting great efforts to bolster green building developments. Every green building project (GBP) involves numerous stakeholders and potentially incompatible concerns. Despite the associated environmental, economic and social benefits, GBP developments have often confronted managerial barriers which are actually emerged from stakeholders – the actual key determinants of a project. Holistically analyzing the complexity of stakeholders in GBPs is, therefore, crucial to improving GBP management and achieving greater sustainability for all involved. The purpose of this paper is to analyze stakeholder complexity in large GBPs using a holistic framework which integrates both empirical and rationalistic analytical perspectives.

The complexity of stakeholders in GBPs can be considered from three aspects – identifying stakeholders, assessing stakeholder interactions and analyzing stakeholder concerns. The proposed stakeholder analysis framework uses both empirical methods (e.g. interviews and surveys) and rationalistic methods (e.g. chain referral sampling and social network analysis) to analyze GBP stakeholder complexity. Case study of a lab-enabled commercial GBP in Hong Kong was undertaken to illustrate the framework.

The framework enables a holistic, objective and effective stakeholder analysis; leading GBP leaders toward a complete understanding of project stakeholder complexity. The case study findings bring managerial insights to GBP leaders on the general SNA-related stakeholder dynamics and the important stakeholder concerns, of large Hong Kong GBPs. The findings diagnose general connectivity structures of GBP stakeholders, identify influential and peripheral actors in GBP information exchange, and suggest clues to improve their dynamics. In addition, ten key stakeholder concerns were identified, including comprehensive governmental standards and procedures, clear sustainability goals at the outset, effective stakeholder engagement, adequate design flexibility, and a “can-do” attitude of contractors and consultants – which are all vital for successful GBP development. The underlying reasons of these concerns and recommendations to addressing them were also discussed.

Many existing GBP stakeholder studies appear to use a single analytical perspective to assess project stakeholder complexity, but this may not gain a full understanding. The holistic stakeholder analysis framework used herein combines empiricism and rationalism. It helps to bring GBP leaders and implementers toward a more informed project decision making, a more thorough understanding of stakeholder complexity, as well as a more effective engagement of stakeholders.

An earthworm moves by peristaltic crawling which brings a large surface into contact during motions and requires less space than other mechanisms. A peristaltic crawling is suitable for moving in excavated space by an anterior (front) of a robot. Therefore, a peristaltic crawling robot is useful for an underground explorer. The purpose of this paper is to develop a peristaltic crawling robot with several parallel links and compare with motion of an actual earthworm. Then we had some experiments on a plane surface and in a tube, and in vertical perforated dirt.

The proposed robot, which consists of several parallel mechanisms, has four units for being controlled in 3‐DOF. A unit expands in a radial direction when it contracts to increase the friction between the unit and surroundings. Dustproof covering is attached for preventing dirt from getting inside units. Locomotion mechanism is as the same as an actual earthworm's peristaltic crawling. The robot makes an anterior unit contract, and then the contraction propagates towards the posterior (rear). Therefore, it requires no more space than that of an excavation part on the front of the robot.

It was found that three units of robot consists of several parallel mechanisms had wide range of manipulation; four units of robot moves with peristaltic crawling compared with motion of an actual earthworm. It was confirmed that the robot could turn on a plane surface and move upward and downward in a vertical pipe. Finally, the robot could move in vertical perforated dirt faster than in a pipe.

The robot is designed with several parallel links and equipped with dustproof covering. The locomotion of an actual earthworm is videotaped and analysed for comparing with the analysed movements of the robot. It was confirmed the robot could move with peristaltic crawling and turn on a plane surface. In addition, it was confirmed that some experiments were done in a narrow pipe and in vertical perforated dirt.

The purpose of this paper is to apply what can be learned from the emergence of nature tourism to understand some current and future trends of tourism.

This study adopted the evolutionary paradigm for investigation.

The emergence of nature tourism in early medieval China can be attributed to four major factors, including transformation of value orientations, seeking longevity, interest in suburbs and population migration.

Historical studies help understand the current and future trends. When the contributing factors for nature tourism are linked to the contemporary world, it can be found that these factors are still playing a part in shaping tourism trends or patterns in their original or alternative forms. These trends or patterns are worthy of scholarly investigations.

This paper offers a comprehensive understanding of the origins of nature tourism.