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The environment of international business (IB) and the capabilities of emerging market multinational enterprises (EMNEs) as well as their home countries have changed significantly, leading to some new features of liability of origin (LOR). This paper aims to extend the LOR literature by particularly focusing on the LOR of Chinese multinational enterprises (MNEs) and by taking into account the heterogeneity among industries and across individual MNEs.

Based on the stereotype content model and organizational legitimacy perspective, this study explores how LOR influences Chinese MNEs’ cross-border acquisition completions. Several hypotheses were tested by using a binary logistic regression model with panel data techniques based on data of 780 Chinese MNEs’ acquisition deals between 2008 and 2018.

The results of this study show that when the competence dimension of China’s LOR is perceived as high in the host country, Chinese MNEs are less likely to complete cross-border acquisitions. Moreover, deals are less likely to be completed when the warmth dimension of China’s LOR is perceived to be low. Global experience and the foreign-listed status of individual Chinese MNEs can alter the relationship between the LOR and deal completions.

This study advances and enriches the LOR research. It shows that a high level of competence in the home country has led to LOR for Chinese MNEs rather than the low level of competence proposed by existing LOR studies; and the LOR for Chinese MNEs is also determined by the perceived low level of warmth in the home country resulting from the geopolitical conflicts between two countries. In addition, the LOR suffered by EMNEs could vary based on certain industry- and firm-level characteristics. The findings of this study provide important practical implications for emerging economy governments and for firms intending to go abroad.

With the great changes brought by information technology, there is also a challenge for the elderly's acceptance. This study aimed to determine the antecedents of elderly people's usage intention of financial artificial intelligent customer service (FAICS) and to examine the relationships between various factors and thus to help them better adapt to the digital age.

A mixed method, including the qualitative and quantitative study, was utilized to explore answers of the research questions. As the qualitative study, the authors used semi-structured interviews and data coding to uncover the influencing factors. As the quantitative study, the authors collected data through questionnaires and tested hypotheses using structural equation modeling.

The results of data analysis from interviews and questionnaires suggested that perceived anthropomorphism and virtual identity of elderly users have a positive impact on their perceived ease of use, and the perceived intelligence of elderly users positively influences their perceived ease of use, satisfaction and perceived usefulness. Additionally, the elderly's cognition age can moderate the effects of perceived usefulness and satisfaction on their usage intention of FAICS.

This study contributes to the literature by taking the elderly group as the research participants and combining those influencing factors with technology acceptance model and information systems success model. The findings provide a basis for accelerating the promotion of FAICS and help address the problem that the elderly have difficulty adapting to a new technology.

Because of the COVID-19, the digital transformation of global hospitality and tourism speeds up. This paper aims to provide comprehensive frame of the digital transformation for further hospitality and tourism research.

Through conducting a critical review of the impact of COVID-19, the current situation about the application of digital technology and digital transformation in hospitality and travel, this study used a qualitative approach to present the viewpoints.

This research presents a theoretical research framework for the hospitality and tourism about digital transformation, including possible directions, contexts and methods. It highlights the importance of digital transformation, and further proposing specific research topics.

This research brings valuable implications and guidance for future research from the aspects of key research streams, research context and methodological approaches in hospitality and tourism about digital transformation.

This paper supplies existing critical reviewed research through paying attention to the digital transformation approach in hospitality and tourism, providing research guidance technically to the industry of hotels and travel.

Through three case studies, the authors aim to examine how Confucian humanistic philosophy can be applied to leadership practices and show how it is possible to practice humanistic leadership in the Chinese context.

The authors use case studies of three exemplary humanistic leaders and the companies they lead to describe their leadership practices and influence on others and their companies.

The authors identify three common elements that connect their observations to an emerging scholarly conceptualization of humanistic leadership and develop a framework of Confucian humanistic leadership consisting of five attributes. The cases the authors studied suggest that the five attributes should be understood as being mutually reinforcing and acting in concert, rather than each acting independently of the others. The authors found that there is inherent consistency and connection between the core values of Confucianism and humanistic leadership.

The research contributes to the leadership literature, specifically the emerging literature on humanistic leadership, by introducing a framework for Confucian humanistic leadership. While much of the extant literature on humanistic leadership has been conceptual, the study shows how it is possible to practice humanistic leadership in the Chinese context by drawing on the foundation provided by Confucian humanistic philosophy. The findings also contribute to humanistic leadership research by providing important insights into specific capabilities that can help put the principles of humanistic leadership into practice, but that have not been considered to date.

Information overload has become ubiquitous during a public health emergency. The research purpose is to examine the role of mixed emotions in the influence of perceived information overload on individuals’ information avoidance intention and the state of fear of missing out.

A mixed-methods approach was used in this study: a qualitative study of 182 semi-structured interviews and a quantitative study of 309 surveys.

The results show that perceived information overload negatively affects peace of mind and positively affects fatigue and fear. Emotions with a low activation level (peace of mind and fatigue) promote emotions with a high activation level (hope and fear), and peace of mind negatively influences fatigue. Additionally, peace of mind negatively affects information avoidance intention, while hope positively affects the state of fear of missing out. These two information processing outcomes are positively impacted by fatigue and fear.

This study extends existing knowledge by uncovering the underlying influence of mixed emotions on individuals’ different information processing outcomes caused by perceived information overload. It provides practical insights for online media platforms and Internet users regarding how to process overwhelming information during a public health emergency.

The rapid urbanization of China brings in large number of migrant workers coming from rural areas. With the perspective of social integration, this study reviews the findings about economic livelihood, social integration and health related to migrant workers since China initiated economic reform. We show that (1) though the economic wellbeing of migrant workers has been improved significantly after they moved to cities, their economic standing is still lower than local residents; (2) though there is progress of social integration between migrant workers and local residents, conflicts and challenges due to the competitions in employment and the sharing of community resource are still commonly found; (3) the disadvantaged status of health is very common among migrant workers and (4) women and the new generation in migration have more disadvantages in the social transition. We suggest that issues of equal rights between migrant workers and local residents should be discussed in the future as more migrant workers intend to stay in cities for long-term.

The methodology is literature reviews based on the current studies about migrant, migration and policy. The first category of literature is the research field on China's migration and urbanization to describe the whole context of migrant workers. The second is research field on detailed issues about migrant workers and the last field is policy issues about the welfare and needs among migrant workers.

We find that (1) though the economic wellbeing of migrant workers has been improved significantly after they moved to cities, their economic standing is still lower than local residents; (2) though there are progress of social integration between migrant workers and local residents, conflicts and challenges due to the competitions in employment and the sharing of community resource are still commonly found; (3) the disadvantaged status of health is very common among migrant workers and (4) women and the new generation in migration face more disadvantages in the social transition.

There are some limitations in the current research: (1) the review focuses on the majority of migrant workers to reveal the general picture about the living, developing and rights among migrant workers, but is still lacking in dealing with some special and disadvantaged groups. (2) More international issues related to migrant workers should be discussed in the future considering that China's labor market is becoming more and more global.

First, the conclusion about the economic and social integration among migrant workers indicates that more equal welfare services, including resident services, commence services, medical services etc. should be included in the municipal managements considering that Chinese cities will be the combination of local residents and migrant residents. Second, the conclusion about the women and children indicates that the future public services targeted at the disadvantaged population should focus on migrant members due to the second generation of migrant workers will be one of the mainstream population in future China's cities.

This study gives general views on migrant workers in current China. The findings in this review conclude the main development and improvements among tens of millions of migrant workers in Chinese cities. Meanwhile, we also conclude that there are still many disadvantaged and marginalized sub-groups in migration who are suffering from less welfares and rights in urban lives. More detailed and equal rights and public services should be considered and implemented in the fast urbanization taking place.

Automated driving systems (ADSs) are being developed to avoid human error and improve driving safety. However, limited focus has been given to the fallback behavior of automated vehicles, which act as a fail-safe mechanism to deal with safety issues resulting from sensor failure. Therefore, this study aims to establish a fallback control approach aimed at driving an automated vehicle to a safe parking lane under perceptive sensor malfunction.

Owing to an undetected area resulting from a front sensor malfunction, the proposed ADS first creates virtual vehicles to replace existing vehicles in the undetected area. Afterward, the virtual vehicles are assumed to perform the most hazardous driving behavior toward the host vehicle; an adaptive model predictive control algorithm is then presented to optimize the control task during the fallback procedure, avoiding potential collisions with surrounding vehicles. This fallback approach was tested in typical cases related to car-following and lane changes.

It is confirmed that the host vehicle avoid collision with the surrounding vehicles during the fallback procedure, revealing that the proposed method is effective for the test scenarios.

This study presents a model for the path-planning problem regarding an automated vehicle under perceptive sensor failure, and it proposes an original path-planning approach based on virtual vehicle scheme to improve the safety of an automated vehicle during a fallback procedure. This proposal gives a different view on the fallback safety problem from the normal strategy, in which the mode is switched to manual if a driver is available or the vehicle is instantly stopped.

Propaganda is a prevalent technique used in social media to intentionally express opinions or actions with the aim of manipulating or deceiving users. Existing methods for propaganda detection primarily focus on capturing language features within its content. However, these methods tend to overlook the information presented within the external news environment from which propaganda news originated and spread. This news environment reflects recent mainstream media opinions and public attention and contains language characteristics of non-propaganda news. Therefore, the authors have proposed a graph-based multi-information integration network with an external news environment (abbreviated as G-MINE) for propaganda detection.

G-MINE is proposed to comprise four parts: textual information extraction module, external news environment perception module, multi-information integration module and classifier. Specifically, the external news environment perception module and multi-information integration module extract and integrate the popularity and novelty into the textual information and capture the high-order complementary information between them.

G-MINE achieves state-of-the-art performance on both the TSHP-17, Qprop and the PTC data sets, with an accuracy of 98.24%, 90.59% and 97.44%, respectively.

An external news environment perception module is proposed to capture the popularity and novelty information, and a multi-information integration module is proposed to effectively fuse them with the textual information.

The nonlinear friction disturbance of the moving joint surface of the feed system can lead to the residual vibration of the system, prolong the stability time of the system and reduce the motion precision and machining precision of the machine tool. This paper aims to concern the vibration between joint surfaces caused by nonlinear friction.

The model is established from the micro and macro scale based on the LuGre model. The friction characteristics of the moving joint surface are explored. The friction experiment of GCr15 pin and 45 steel disk is designed and the influence of lubrication condition, speed, acceleration and normal load on friction characteristics are studied.

Among the drive speed, damping and stiffness, the negative gradient effect of friction, which is characterized by the difference of static and dynamic friction coefficient Δµ, is the main cause of friction vibration between moving joint surfaces. Sufficient lubrication, a proper increase of speed and acceleration, a reasonable reduction of normal load can reduce the negative gradient effect, which can weaken the vibration caused by the nonlinear friction and improve the friction characteristics of the moving joint surface.

In the past studies, more attention has been paid to revealing the relationship between the relative speed and friction, while the acceleration is often ignored. The negative gradient effect of friction is improved in this paper by changing the contact conditions. Research findings of this paper effectively improve the friction characteristics of the moving interface and provide the basis for restraining the nonlinear vibration between the moving interfaces.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-11-2019-0476/

The serious friction caused by the fluctuation of friction occurs when start-up and will reduce the positioning accuracy of the servo axes of high precision machine tools, the purpose of this paper is to study the friction fluctuation characteristics of friction coefficients between interfaces under different working conditions.

HT200 and 45# materials were experimentally studied by friction and wear testing machine UMT-3, the variation of friction coefficient under different working conditions (different start-up conditions, the variation of lubrication state area and different roughness) were measured.

The results show that the larger start-up acceleration shortens the pre-sliding time of the interface friction, makes the friction coefficient decrease faster, reduces the mixed lubrication area of the contact surface and makes the contact surface reach the stable lubrication state quickly. It can be concluded that the larger roughness surface will lead to the larger mixed lubrication area, the larger static friction coefficient and the larger drop between static and dynamic friction coefficient and easy to cause friction vibration.

The results reveal the friction fluctuation rule of the metal interface during the different start-up process, which is of guiding significance to reveal the lubrication principle and mechanism of the mechanical interface.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-11-2019-0482/