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Since the beginning of the 21st century, China’s outward foreign direct investment (OFDI) is growing steadily and Chinese multinationals (MNCs) are playing an increasingly important role in the global economy. Thus, the number of papers focusing on China’s OFDI and Chinese MNCs has been increasing during the last years. The aim of this chapter is to carry out a review of the empirical papers dealing with Chinese MNCs published between 2002 and 2012 in high-impact international business and management journals.

This chapter reviews 43 empirical papers focusing on Chinese MNCs that were published in nine major scholarly journals between 2002 and 2012.

We report individual and institutional contributions, the theories and methods used, the research topics, and the main findings. We also discuss implications for future research.

Some previous literature reviews have dealt with research on China’s OFDI and Chinese MNCs. Nevertheless, none of the earlier reviews dealt specifically with empirical papers; neither did they provide an analysis of both individual and institutional contributions.

The purpose of this paper is to see whether children’ regulatory fit/nonfit can moderate the implicit influence of in-game advertising.

An experiment was done with 418 children (aged 7–11) from three primary schools in a middle-size city in China that voluntarily took part in the experiment. Children were randomly allocated to the following four conditions: playing a game without any brands (a control group), playing the same game and exposed to a subtle in-game advertising (a test control group), playing the same branded game with regulatory fit (regulatory fit group) and playing the same branded game with regulatory nonfit (regulatory nonfit group).

The results first suggest exposure to in-game advertising makes children more likely to choose it afterward, despite most of them are not aware being exposed to it. The results further suggest children’s regulatory fit does not further increase children’s choice of the focal brand, suggesting linking the focal brand to fun and engaging game experiences is sufficient to influence their brand choice. However, children’s regulatory nonfit attenuates the implicit influence of in-game advertising.

By focusing on children’s game strategy, this research complements the extant literature that only focuses on advertising features and/or game character to document the implicit influence of in-game advertising. In addition, by focusing on regulatory fit/nonfit, this paper provides initial evidence how contextual factors such as children’s game strategy may help them cope with advertising influence built on affect transfer.

The purpose of this study is to introduce the reproducing kernel algorithm for treating classes of time-fractional partial differential equations subject to Robin boundary conditions with parameters derivative arising in fluid flows, fluid dynamics, groundwater hydrology, conservation of energy, heat conduction and electric circuit.

The method provides appropriate representation of the solutions in convergent series formula with accurately computable components. This representation is given in the W(Ω) and H(Ω) inner product spaces, while the computation of the required grid points relies on the R_(y,s) (x, t) and r_(y,s) (x, t) reproducing kernel functions.

Numerical simulation with different order derivatives degree is done including linear and nonlinear terms that are acquired by interrupting the n-term of the exact solutions. Computational results showed that the proposed algorithm is competitive in terms of the quality of the solutions found and is very valid for solving such time-fractional models.

Future work includes the application of the reproducing kernel algorithm to highly nonlinear time-fractional partial differential equations such as those arising in single and multiphase flows. The results will be published in forthcoming papers.

The study included a description of fundamental reproducing kernel algorithm and the concepts of convergence, and error behavior for the reproducing kernel algorithm solvers. Results obtained by the proposed algorithm are found to outperform in terms of accuracy, generality and applicability.

Developing analytical and numerical methods for the solutions of time-fractional partial differential equations is a very important task owing to their practical interest.

This study, for the first time, presents reproducing kernel algorithm for obtaining the numerical solutions of some certain classes of Robin time-fractional partial differential equations. An efficient construction is provided to obtain the numerical solutions for the equations, along with an existence proof of the exact solutions based upon the reproducing kernel theory.

The purpose of this study is to provide insights and guidance for practitioners in terms of ensuring rigorous ethical and moral conduct in artificial intelligence (AI) hiring and implementation.

The research employed two experimental designs and one pilot study to investigate the ethical and moral implications of different levels of AI implementation in the hospitality industry, the intersection of self-congruency and ethical considerations when AI replaces human service providers and the impact of psychological distance associated with AI on individuals' ethical and moral considerations. These research methods included surveys and experimental manipulations to gather and analyze relevant data.

Findings provide valuable insights into the ethical and moral dimensions of AI implementation, the influence of self-congruency on ethical considerations and the role of psychological distance in individuals’ ethical evaluations. They contribute to the development of guidelines and practices for the responsible and ethical implementation of AI in various industries, including the hospitality sector.

The study highlights the importance of exercising rigorous ethical-moral AI hiring and implementation practices to ensure AI principles and enforcement operations in the restaurant industry. It provides practitioners with useful insights into how AI-robotization can improve ethical and moral standards.

The study contributes to the literature by providing insights into the ethical and moral implications of AI service robots in the hospitality industry. Additionally, the study explores the relationship between psychological distance and acceptance of AI-intervened service, which has not been extensively studied in the literature.

The aim of this study is to examine the existing literature on service robots in order to identify prominent themes, assess the present state of service robotics research and highlight the contributions of seminal publications in the business, management and hospitality domain.

This study analysed 332 Scopus papers from 1985 to 2022 using bibliometric techniques like citation and co-citation analysis.

The study findings highlighted that there has been a consistent rise in publications related to service robots. The paper identifies three significant themes in the service robot literature: adoption of service robots in the context of customer service, anthropomorphism and integration of artificial intelligence in robotic service. Furthermore, this study highlights prominent authors, journals, institutions and countries associated with research on service robots and discusses the future research opportunities in this domain.

This study contributes to the service robots’ literature in the hospitality context by compilation of various reference materials using a comprehensive bibliometric analysis. Previous studies do not point out crucial themes in this area, nor do they provide an overview of prominent journals, institutions, authors and trends in this field. Therefore, this study attempts to fill the lacunae.

This paper aims to investigate the effects of deposition time on the structure and anti-corrosion properties of a micro-arc oxidation (MAO)/Al coating on AZ31B Mg alloy.

The study describes the fabrication of the coating via a combined process of MAO with multi-arc ion plating. The structure, composition and corrosion resistance of the coatings were evaluated using scanning electron microscopy, energy dispersive spectroscopy, X-ray diffraction and electrochemical methods.

The Al-layer is tightly deposited with a good mechanical interlock along the rough interface due to the Al diffusion. However, the Al layer reduces the anti-corrosion of MAO-coated Mg alloy because of structural defects such as droplets and cavities, which act as channels for corrosive media infiltration towards the substrate. Fortunately, the Al layer improves the substrate corrosion resistance owing to its passive behaviour, and the corrosion resistance can be enhanced with increasing deposition time. All results indicate that a buffer layer fabricated through the duplex process improves the interfacial compatibility between the hard coating and soft Mg alloys.

An MAO/Al duplex coating was fabricated via a combined process of MAO and physical vapour deposition. MAO/Al duplex coatings exhibit obviously passive behaviours on AZ31 Mg alloy. The structure and corrosion resistance of MAO/Al coatings were investigated.

This paper seeks to provide an understanding of the relationship between the management control policy of emerging economy (EE) firms and the knowledge transfer with the acquired firm, as well as the mechanism by which specific management control policy facilitates knowledge transfer with the acquired firms.

Employing an organizational learning theory, this paper examines the knowledge transfer from acquired firms to acquiring EE firms through multiple-case study of three EE firms.

Based on organizational learning theory and the results of case studies, this paper finds that the cooperation and willingness of employees in the acquired firm and language barriers are the main factors influencing the relationship between management control policy and the parent company’s knowledge transfer process.

This study sheds light on cross-border knowledge transfer to EE firms from an organizational learning perspective and broadens the understanding of post-acquisition knowledge transfer in an emerging market context.

This study suggests that the low-level management control facilitates knowledge transfer from acquired firms. This is especially true when the parent company from the EE has limited learning experience and faces substantial language barriers between itself and its acquired firm.

This paper extends existing research by exploring how low-level control of acquired firms in developed markets facilitates knowledge transfer of EE firms after cross-border acquisition. Future research can extend this line of research by examining the knowledge transfer mechanism of EE firms through qualitative and quantitative methods.

This paper aims to offer a comprehensive description and analysis of electronic reserve services in academic libraries in China. It also seeks to describe possible solutions for libraries to build multi‐functional e‐reserve services in order to face the challenge of the vast expansion in both academia and the economy in modern China.

The paper reviews the recent literature on the practices of e‐reserve services, and analyses the results of the online surveys conducted in the 112 key university libraries in the China 211 Project, especially the top 15 university libraries.

The paper reveals that three‐level (national, regional, and campus‐wide) e‐reserve resource systems have been developed jointly or individually by Chinese academic libraries. Their development, implementation and implications are discussed; existing problems and possible solutions are identified.

The paper provides insights into the recent development of e‐reserving services in Chinese academic libraries, offers useful information about e‐reserving resources for students and faculty, and recommends solutions to libraries for e‐reserve services.

While many studies on institutional environment have primarily focused on the influence of the host country environment, limited insights have been offered on how the different dimensions of home institutions affect firm internationalization. This paper aims to fill this gap by investigating the effects of regulatory institutions at home.

Using country governance quality to proxy quality of regulatory institutions, this study attempts to reveal how regulatory institutions at home facilitate a multinational enterprise's (MNE's) international expansion and why the influence differs in different country clusters. Using hierarchical linear modeling and cluster analysis, proposed hypotheses were tested with a three‐year panel of 511 firms from 38 countries.

The results provide substantial support for the authors' hypotheses that MNEs with high governance quality at home are more engaged in internationalization than those with low governance quality at home. Moreover, differences in institutional effect do exist between country clusters.

This study provides evidence that while country differences exist, governance quality at home can facilitate MNEs' expansion into foreign markets. This finding will help managers of any MNEs to consider country‐level factors and evaluate the governance quality at home before committing resources into foreign operations.

Building on the institutional environment literature, this theory and results make original contributions by underscoring how the consideration of regulatory institutions at home can significantly improve understanding of institutional influence on MNEs. The findings have important implications for both international business researchers and managers of MNEs.

This study aims to examine the impact of cultural values [power distance (PD), uncertainty avoidance (UC), individualism vs collectivism (IC) and time orientation] and users’ perceptions on the adoption of big data analytics (BDA) within the context of the United Arab Emirates (UAE) health-care sector. It uses the unified theory of acceptance and use of technology (UTAUT) model as its theoretical foundation.

A cross-sectional survey involving 256 health-care organization users in major hospitals across the UAE was conducted. Smart partial least squares (PLS) structural equation modeling was used to assess users’ behavioral intentions (BI) to use BDA in the health-care context.

Results indicate that performance expectancy, social influence, facilitating conditions and perceived trust significantly predicted respondents’ BI to use BDA. However, effort expectancy, perceived security and time orientation were found to have insignificant impacts on BI. Interestingly, the remaining cultural values (PD, UC and IC) did not significantly affect the relationship between social influence and BI in the context of BDA adoption in health care.

This study contributes to the literature by examining the role of cultural dimensions in BDA adoption within health-care organizations, particularly in the underrepresented UAE health-care context. Moreover, it extends the application of the UTAUT model to the BDA adoption in health care, providing insights into the factors affecting users’ BIs to use the technology.