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This paper aims to evaluate the value creation of cross-border acquisitions conducted by Chinese firms and determinants that result in the different performance. During the recent decades, the world has witnessed multinational enterprises (MNEs) from emerging economies undertaking aggressive cross-border mergers and acquisitions (M & As). This phenomenon raises great attention in the international business community, and also challenges the traditional understanding in the extant literature.

The authors examine 272 cross-border M & As associated with 48 target countries during the period 1996-2012.

Evidences show that cross-border expansions on average point to negative performance in the short term. The authors also find that prior cross-border M & A experiences, ownership structure of the acquirer (state-owned vs private) and acquirer size positively affect the performance of the acquiring firm.

In addition to contributing to cross-border M & A literature, the findings also provide useful guidance to outward foreign direct investment by firms from emerging economies.

In line with the theory of planned behavior, this study aims to examine the mediating effect of cultural identity and role identity between relational capital and adaptive behavior, and the moderating effect of willingness to learn.

Data were collected from 241 Chinese expatriates in Latin America through a two-wave survey.

The findings indicate that expatriates’ perceived relational capital can promote adaptive behaviors by enhancing their cultural identity and role identity. Willingness to learn positively moderates the indirect effects of relational capital on adaptive behaviors through cultural identity and role identity. For expatriates with a high willingness to learn, the impact of relational capital on their adaptive behaviors through cultural identity and role identity is stronger.

This study extends empirical research on expatriate adaptation. Organizations should promote the accumulation of expatriates’ relational capital while they are working abroad. Meanwhile, willingness to learn should be considered as a criterion when selecting expatriates.

The purpose of this paper is to develop a pertinent design optimization methodology for symmetric designs of a metamaterial (MM) unit.

A cell division mechanism is introduced and used to design a new selecting mechanism in the proposed algorithm, a non-dominated sorting cellular genetic algorithm (NSCGA).

The numerical results on solving standard multi-objective test functions and a prototype MM unit positively demonstrate the advantages of the proposed NSCGA.

A new NSGAII-based optimization algorithm, NSCGA, for multi-objective optimization designs of a MM unit is proposed.

The objective of this study is to improve the food supply chain performance taking into consideration the fundamental concepts of traceability by combining the current frameworks, its principles, its implications and the emerging technologies.

A narrative literature review of already existing empirical research on traceability systems was conducted resulting in 862 relevant papers. Following a step-by-step sampling process, the authors ended up with 46 final samples for the literature review.

The main findings of this study include the various descriptions of the architecture of traceability systems, the different sources enabling this practice, the common desirable attributes, and the enabling technologies for the deployment and implementation of traceability systems. Moreover, several technological solutions are presented, which are currently available for traceability systems, and finally, opportunities for future research are provided.

It provides an insight, which could affect the implementation process of traceability in the food supply chain and consequently the effective management of a food traceability system (FTS). Managers will be able to create a traceability system, which meets users' requirements, thus enhancing the value of products and food companies.

This study contributes to the food supply chain and the traceability systems literature by creating a holistic picture of where something has been and where it should go. It is a starting point for each food company to design and manage its traceability system more effectively.

This study aims to examine whether Chinese firms increase their concerns about analysts’ earnings forecasts following the split-share structure reform (SSR) in 2005, which removed trading restrictions on approximately 70% of the shares of listed firms.

Using data from 2002 to 2019, the authors empirically test the association between meeting or beating analysts’ earnings expectations and the implementation of SSR.

The authors find that firms are more inclined to meet analysts’ earnings expectations after the introduction of SSR. Further analysis shows that firms guide analysts to walk their forecasts down by manipulating third-quarter earnings, suggesting enhanced value relevance between analysts’ forecasts and third-quarter earnings management in the postreform period.

The findings reveal an undesirable side effect of SSR and suggest that policymakers and regulators should consider and carefully manage the complex relationships between firms and analysts.

In contrast to prior studies that predominantly focus on the positive effects of the reform, this study reveals the side effects of SSR and provides new evidence on the mechanisms of meeting or beating analysts’ earnings expectations.