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Online influencers are increasingly used by brands around the globe to establish brand communication. This study aims to investigate the characteristics of social media content in terms of presentation style and brand communication among online influencers in China. The authors identified how characteristics of social media posts influence young consumers’ engagement with the posts.

The authors analyzed 1,779 posts from the Sina Weibo accounts of ten top-ranked online influencers by combining traditional content analysis with Web data crawling of audience engagement with social media posts.

Online influencers in China more frequently used photos than videos to communicate with their social media audience. Altogether 8% and 6% of posts carried information about promotion and event, respectively. Posts with promotional incentives as well as event information were more likely to engage audiences. Altogether 22% of the sampled social media posts mentioned brands. Posts with brand information, however, were less likely to engage audiences. Furthermore, having long text is more effective than photos/images in generating likes from social media audiences.

Combining content analysis of social media posts and engagement analytics obtained via Web data crawling, this study is, to the best of the authors’ knowledge, one of the first empirical studies to analyze influencer marketing and young consumers’ reactions to social media in China.

Over the past decade internationalisation by banks from emerging market economies has accelerated. The purpose of this study is to examine the role of government and home country institutions in the international expansion process of Chinese commercial banks (CCBs).

By employing qualitative research method, data was collected via interviews from 30 senior managers based on a sample of 10 CCBs involved in international expansion over the 2001–2013 period.

The study finds that the Chinese government and home institutions play an important role in motivating CCBs’ internationalisation. Evidence from this research illustrates the effect institutional factors have in emerging economy firms’ internationalisation.

The managerial implication of these findings is that CCBs could take great advantage of government policy by developing proper internationalisation strategies and capabilities that would enhance CCBs’ competitiveness in global market. On the institutional front, removal of the institutional constraints imposed on Chinese banking industry is required. Using market-oriented management and regulatory rules rather than imposing administrative restrictions could therefore accelerate CCBs’ adaption and integration in the international market and enhance their competitive power.

This chapter focuses on the influence of the home government on the internationalization of Russian multinational enterprises (MNEs). It views government involvement and political connectedness as a form of informal connections and networks that seriously impact operations in general and internationalization, in particular in the case of Russian multinationals. Using the literature on MNEs from emerging markets and our familiarity with Russian business and political specificities, we develop a set of five propositions devoted to the subject. We further discuss the research and management implications of our analysis.

Public housing in Hong Kong plays an essential role in accommodation supply to people of low income. Access to social resources and rent levels of nearby private residential housing are two critical issues impacting the well-being of residents living in public housing estates. However, previous research has rarely focused on the spatial distribution of public housing estates through exploring these two critical issues. On the other hand, Hong Kong is currently experiencing an urban renewal process. It would be beneficial to consider these critical issues for spatial allocation of public housing in urban renewal decision making. The purpose of this paper is to investigate these two critical issues in relation to the spatial distribution of public housing estates in Kowloon, Hong Kong.

Seven spatial variables were selected to reflect these critical issues. Spatial analysis in Geographic Information System was conducted to process the data required. Multiple logistic regression was employed to analyse the relationships between the spatial location of public housing estates and the seven selected variables.

Based on the analysis results, several problems as well as geographical advantages of the current location of public housing estates were discovered, which can be valuable references for decision making by government authorities for public housing development in the future.

This research is a pilot study on the spatial distribution of public housing estates and the critical influencing factors in Hong Kong, undertaken by applying both spatial analysis and statistical methods. It can help relevant decision makers deal with current problems of public housing location and make informed decisions on where to locate new housing projects in an urban renewal process, which can increase the equal distribution of social resources and improve the well-being of people living in public housing.

The purpose of this paper is to examine how home institutions moderate the influence of internationalization, and the effect this has on the performance of stock-listed Chinese firms.

A sample of 118 stock-listed Chinese firms over the period 2006-2011 was considered, using the panel data method.

The results show that foreign ownership and region-specific marketization help firms reap the performance benefits of internationalization, while state ownership plays an insignificant role.

The findings may not hold for unlisted firms, service firms or firms from other emerging economies.

The study suggests that Chinese managers should take advantage of home country institutions to improve the effects of internationalization on performance.

This research suggests that the analysis of the performance consequences of internationalization should go beyond the nexus between internationalization and performance, and also consider the home institutional factors that may facilitate or constrain the focal relationship.

This paper aims to review the effects of home regulatory institutions on outward foreign direct investment (OFDI) in the context of China and discuss the extent to which they can be extended to other emerging markets. The authors especially compare these empirical studies with theoretical discussions in each category, identify research gaps and suggest future research ideas. Practical implications are discussed.

It focuses specifically on three categories of regulatory institutions, including overall institutional development, liberalization of OFDI policies and state ownership (and its closely approximate forms). Using a systematic review, this paper has reviewed 26 empirical studies (23 quantitative and 3 qualitative studies) published in peer-reviewed journals.

These studies suggest that overall institutional development toward a market economy in general leads to increased OFDI, but this effect is contingent on the stage of such development and the capabilities of Chinese multinationals. Liberalized and supportive OFDI policies also facilitate OFDI activities but only into selective areas. Findings on state ownership have been mixed.

This review offers a full picture of empirical evidence on how multiple levels of regulatory institutions affect OFDI from China. In this way, the authors can identify the research gaps between theoretical discussions on home institutions and OFDI and empirical evidence. Thus, they make suggestions for future directions of studies.

The purpose of this paper is to explore the social responsibility performance’s current situation, influencing factors and mechanisms of multinational companies (MNCs) in China. The paper is based on the MNC’s social responsibility performance factors to find some relevant reasons for unsatisfied performance and on the multiple perspectives such as institutional distance and stakeholders, to provide feasible solutions for MNCs to assume civic responsibility and the high-quality development of the host country.

The study uses general literature review and empirical analysis to analyze the way and degree of various factors which are affecting the social responsibility of MNC in China, and supplements the deficiencies of previous studies.

The paper reveals the influencing factors and mechanisms of MNCs’ social responsibility in China through the regression results. In addition, based on Research Report on Corporate Social Responsibility of China (Huang et al., 2013/2019), the paper also summarizes the performance and dynamic changes of MNCs social responsibility in the Chinese market in the past decade.

The paper enriches research on the social responsibility of MNCs in the background of non-western countries, dynamically describes the performance of MNCs’ responsibilities in a 10-year span and solves the problem of inconsistent research conclusions caused by too long time span. The paper also creates the “local enterprise responsibility level” to quantify the development of the host country’s responsibility, and identifies the “responsibility demonstration effect” of state-owned enterprises and private enterprises.

The purpose of this paper is to design a unified operational design domain (ODD) monitoring framework for mitigating Safety of the Intended Functionality (SOTIF) risks triggered by vehicles exceeding ODD boundaries in complex traffic scenarios.

A unified model of ODD monitoring is constructed, which consists of three modules: weather condition monitoring for unusual weather conditions, such as rain, snow and fog; vehicle behavior monitoring for abnormal vehicle behavior, such as traffic rule violations; and road condition monitoring for abnormal road conditions, such as road defects, unexpected obstacles and slippery roads. Additionally, the applications of the proposed unified ODD monitoring framework are demonstrated. The practicability and effectiveness of the proposed unified ODD monitoring framework for mitigating SOTIF risk are verified in the applications.

First, the application of weather condition monitoring demonstrates that the autonomous vehicle can make a safe decision based on the performance degradation of Lidar on rainy days using the proposed monitoring framework. Second, the application of vehicle behavior monitoring demonstrates that the autonomous vehicle can properly adhere to traffic rules using the proposed monitoring framework. Third, the application of road condition monitoring demonstrates that the proposed unified ODD monitoring framework enables the ego vehicle to successfully monitor and avoid road defects.

The value of this paper is that the proposed unified ODD monitoring framework establishes a new foundation for monitoring and mitigating SOTIF risks in complex traffic environments.

This research proposes an innovative fault-tolerant media content list management technology applied to the smart robot domain.

A fault tolerant Content List Management Unit (CLMU) for real-time streaming systems focusing on smart robot claw machines is proposed to synchronize and manage the hyperlink stored on media servers. The fault-tolerant mechanism is realized by the self-healing method. A media server allows exchanging the hyperlink within the network through the CLMU mechanism.

Internet users can access the current multimedia information, and the multimedia information list can be rearranged appropriately. Furthermore, the service of the proposed multimedia system should be uninterrupted even when the master media server fails. Therefore, one of the slave media servers enables the Content List Service (CLS) of the proposed CLMU and replaces the defunct master media server.

The recovery time is less than 1.5 seconds. The multimedia transmission is not interrupted while any one of the media servers keeps functioning. The proposed method can serve to stabilize the system of media servers in a smart robot domain.

The purpose of this paper is to probe the recursive identification of piecewise affine Hammerstein models directly by using input-output data. To explain the identification process of a parametric piecewise affine nonlinear function, the authors prove that the inverse function corresponding to the given piecewise affine nonlinear function is also an equivalent piecewise affine form. Based on this equivalent property, during the detailed identification process with respect to piecewise affine function and linear dynamical system, three recursive least squares methods are proposed to identify those unknown parameters under the probabilistic description or bounded property of noise.

First, the basic recursive least squares method is used to identify those unknown parameters under the probabilistic description of noise. Second, multi-innovation recursive least squares method is proposed to improve the efficiency lacked in basic recursive least squares method. Third, to relax the strict probabilistic description on noise, the authors provide a projection algorithm with a dead zone in the presence of bounded noise and analyze its two properties.

Based on complex mathematical derivation, the inverse function of a given piecewise affine nonlinear function is also an equivalent piecewise affine form. As the least squares method is suited under one condition that the considered noise may be a zero mean random signal, a projection algorithm with a dead zone in the presence of bounded noise can enhance the robustness in the parameter update equation.

To the best knowledge of the authors, this is the first attempt at identifying piecewise affine Hammerstein models, which combine a piecewise affine function and a linear dynamical system. In the presence of bounded noise, the modified recursive least squares methods are efficient in identifying two kinds of unknown parameters, so that the common set membership method can be replaced by the proposed methods.