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The purpose of this paper is to focus on emerging market companies that internationalize into advanced economies by means of acquisitions and to investigate brand management during post-acquisition integration from a multi-level perspective and to identify how a brand management strategy can be constructed. It takes into account the influences of country-of-origin image, corporate brand and brand portfolio to obtain a granular view of post-acquisition brand management.

A multiple case study approach was adopted. By using case studies and storytelling qualitative research methods, the empirical setting was related to the acquisitions undertaken by Chinese companies in Germany.

The authors identified three mechanisms for brand management in the post-acquisition integration of emerging market companies – namely, transferring, dynamically redeploying and categorizing – that underpin the interconnection and combined influence of country-of-origin image at the national level, corporate brand at the organizational level and brand portfolio at the product level.

Brand has been viewed as a strategic asset in Chinese cross-border mergers and acquisitions (M&As). Brand management is a dynamic process that involves learning and interaction between the acquirer and target. The research offers a practical guideline for both acquirers and targets in managing brand in the context of acquisitions undertaken by emerging market companies in advanced economies.

The findings provide important insights into the brand management strategies adopted in Chinese cross-border M&As in particular, and emerging market companies venturing into advanced economies in general. The interlinking of country, company and product levels introduces new ideas to the brand literature related to acquisitions, and the setting of Chinese companies acquiring German ones constitutes an important contribution to the understanding of the different ways in which companies from emerging economies may pursue branding strategies in the context of cross-border M&As.

The collaborative filtering algorithm is a classical and widely used approach in product recommendation systems. However, the existing algorithms rely mostly on common ratings of items and do not consider temporal information about items or user interests. To solve this problem, this study proposes a new user-item composite filtering (UICF) recommendation framework by leveraging temporal semantics.

The UICF framework fully utilizes the time information of item ratings for measuring the similarity of items and takes into account the short-term and long-term interest decay for computing users’ latest interest degrees. For an item to be probably recommended to a user, the interest degrees of the user on all the historically rated items are weighted by their similarities with the item to be recommended and then added up to predict the recommendation degree.

Comprehensive experiments on the MovieLens and KuaiRec datasets for user movie recommendation were conducted to evaluate the performance of the proposed UICF framework. Experimental results show that the UICF outperformed three well-known recommendation algorithms Item-Based Collaborative Filtering (IBCF), User-Based Collaborative Filtering (UBCF) and User-Popularity Composite Filtering (UPCF) in the root mean square error (RMSE), mean absolute error (MAE) and F1 metrics, especially yielding an average decrease of 11.9% in MAE.

A UICF recommendation framework is proposed that combines a time-aware item similarity model and a time-wise user interest degree model. It overcomes the limitations of common rating items and utilizes temporal information in item ratings and user interests effectively, resulting in more accurate and personalized recommendations.

The purpose of this paper is to provide a nuanced understanding of international marketing agility by connecting organizational capability literature with that of standardization and adaptation. The focus of the research is to clarify whether managing the tension between product standardization and service customization generates an extra premium in international markets.

Two disaggregated Chinese data sets, the Annual Survey of Industrial Enterprises and the China Customs Database, are used for developing an econometric model. Export quality improvement is the outcome variable in reflecting the effect of international marketing agility on performance.

International marketing agility is reached through upstream FDI intensity, particularly in the context of service FDI. Manufacturing sectors with higher service intensity have more agility, being more likely to generate export quality.

This study makes three theoretical contributions by clarifying the concept of international marketing agility as an organizational capability generated by manufacturing standardization and service customization; investigating the influence of upstream FDI intensity for export quality while taking into account the industry contexts; and obtaining an enhanced understanding of the service intensity of manufacturing firms on export quality.

The authors offer a nuanced and contextualized understanding of international marketing agility and explore the complex relationships between FDI, service intensity and export quality.

The study aims to examine the effects of guanxi and harmonious leadership on acquisition performance and the role of sociocultural integration as a mediating mechanism impacting the above links, with a focus on Chinese cross-border acquisitions in The Netherlands.

Data were collected through survey questionnaire with 91 respondents who work in Dutch-acquired companies. Regression analysis was used for exploring the relationship.

The study finds that both guanxi and harmonious leadership are positive to acquisition performance, and sociocultural integration represents a significant mediating mechanism by which guanxi and harmonious leadership can result in improved acquisition performance.

This study contributes to culture research by emphasizing the clarification of specific Chinese cultural values and cultural practices in cross-border acquisitions and examining the role of guanxi and harmonious leadership in acquisition performance. Meanwhile, this study helps to unveil Chinese cross-border acquisitions in The Netherlands by examining the mediating force – sociocultural integration.

This study aims to elaborate on the microencapsulation of the plant extract (PE, from Camellia sinensis leaf, clover flower and cocoa flower) and the preparation of a slow-release lining fabric loading the PE microcapsule.

PE was microencapsulated into polyvinyl alcohol (PVA) shells through interfacial polymerization. The morphology, thermal stability, slow-release property and drug loading ratio of the PVA/PE microcapsules were characterized to ensure the availability in coating finishing. To find the optimum parameters, the composite fabrics were prepared from non-woven fabrics coated by calcium alginate hydrogel, which glued mass fractions of microcapsules and dried in different ways. To evaluate the effectiveness, a lipase enzyme activity test was conducted.

Under optimal conditions, the PVA/PE microcapsules with smooth surface have an average particle size of 14.5 um, and they are expected to reach a loading ratio of 38.5 per cent while remaining stable under 220°C. Given a microcapsule of 4 per cent (of the mass), the composite fabric has a good hand feeling, being prepared through calcium chloride coating. It is shown that the inhibition ratios of the microcapsules and composite fabrics on lipase are 31.3 and 21.0 per cent, respectively.

The composite fabric could be prepared through the other finishing methods such as padding and printing. In addition, the release mechanism of the composite could be studied.

This study provided a simple and effective way to prolong the duration of PE. This way was conductive to protect environmental sensitive PEs from being destroyed in compositing processes.

Preparing composite fabrics for transdermal delivery system was novel and other kind of plant extracts could be used in this way.

This chapter focuses on the Chinese cross-border merger and acquisition (M&A) amid the rising trend of multinational companies from emerging economies. Based on a systematic review of published papers in top international business/strategy/organization journals on Chinese overseas M&A, we offer a tentative multilevel framework to consolidate the past achievement, consider contemporary debates, so as to direct future research efforts. We suggest that Chinese overseas M&A research should emphasize on a process perspective ranging from pre-acquisition to post-acquisition. In addition, qualitative research and methodological pluralism should be embraced to achieve this goal due to the nature of this emerging field of Chinese cross-border M&A. By allocating the extant literature into the multilevel framework, we articulate the demand and identify several potential topics for scholarly inquiry in the future in order to gain a nuanced understanding of this important phenomenon of Chinese cross-border M&A for both China and the rest of the world.

The purpose of this study is to investigate the relationship between unexpected financial slack and small- and medium-sized enterprises’ (SMEs) diversification and growth performance.

Using the phenomenon of IPO over-financed in China as the empirical context, the authors constructed a firm-level measure of unexpected financial slack based on over-financed capital resources and extended the nascent inquiry on unexpected slack.

The authors proposed and tested that, with unexpected slack obtained from IPO over-financed, SMEs did not engage in diversification until slack was extraordinarily high (a curvilinear relationship). And in such cases, SMEs preferred geographic diversification rather than industry diversification. Moreover, SMEs were able to sustain growth performance both in the short term and in the long term.

This study had important implications for regulators and managers. The findings of this study suggested that proper regulations on usage of over-financed capital helped SMEs’ sustain their growth performance. Regulatory policies could curb managers from cognitive biases to behave more prudently and deploy the resources more consciously. However, with sufficient resources, managers should also consider more explorative growth drivers such as diversification.

This study joined the efforts of extending the antecedents of slack formation from internal managerial behaviors to external uncertain factors. As the first study to explore the role of unexpected slack at firm level, the results of this study shed more light on the effects of unexpected slack resources.

This paper aims to investigate the influence of over-allocation and under-allocation of family board seats on the corporate investment efficiency.

Based on the perspective of altruistic behavior, this paper theoretically analyzes the relationship between the preference of family board seats allocation and corporate investment efficiency, and designs the research. On this basis, we use STATA14.0 as an analysis tool to empirically test the relationship between the preference of family family board seats allocation and corporate investment efficiency, and consider the impact of different governance scenarios.

This study finds that firms with a higher over-allocation degree of family board seats invest more efficiently, evidenced by significantly suppressed over-investment rather than mitigated under-investment. However, we do not find evidence that the higher degree of under-allocation of family board seats contribute to lower corporate investment efficiency. Additionally, this study finds that the positive relationship between the over-allocation degree of family board seats and corporate investment efficiency is more pronounced for firms with higher separation of cash flow rights and control rights, and weaker regional law system environment. Our mechanism discussion shows that the higher over-allocation level of family board seats contributes to the mitigation of agency costs for family firms by reducing the tendency for non-family boards to vote “against board proposals” and the appropriation behavior of the controlling family, and eventually improving corporate investment efficiency.

This paper examines the relationship between the preference of family board seats allocation and corporate investment efficiency from the perspective of altruistic behavior. Unlike previous studies, this paper distinguishes the governance effects arising from over-allocation and under-allocation of family board seats. Additionally, different governance scenarios are incorporated into the decision-making mechanism of the board of family firms, and the influences of the divergence of cash-flow and control rights and a weaker regional law system on the governance effect of the preference of family board seat allocation are analyzed.

The study aims to investigate the impact of industrial robot application on corporate labor cost stickiness and labor investment efficiency in China.

Using the textual analysis to construct firm-level industrial robot application indicators in China, we implement the methodology in Anderson et al. (2003) and Banker and Byzalov (2014) to estimate cost stickiness.

We argue that the industrial robot uses in China would increase firms’ labor adjustment costs by increasing the employment scale and upgrading the employment structure (i.e. by employing more high-skilled and high-educated labor). Consistent with our expectation through the channel of labor adjustment costs, the use of robotics increases firms’ labor cost stickiness. We further find that the positive impact is more significant among labor-intensive industries, and among state-owned enterprises with lower labor adjustment flexibility. We also find that industrial robot uses do not decrease the labor cost stickiness even when robots are more likely to substitute labor. Finally, we find that industrial robot uses significantly facilitate more efficient hiring practices by mitigating overinvestment in labor (i.e. over-hiring).

Against the backdrop of intelligent manufacturing worldwide, our study sheds new insight into the effects of new technologies on corporate labor cost behavior in developing countries. We contribute to scant studies examining how robotics, AI adoption or other automation technologies (e.g. specialized machinery, software, etc.) affect corporate cost behavior.

Previous research has little specific guidance on how to improve large infrastructures’ risk analysis. This paper aims to propose a practical risk analysis framework across the project lifecycle with Bayesian Networks (BNs).

The framework includes three phases. In the qualitative phase, primary risks were identified by literature reviews and interviews; questionnaires were used to determine key risks at each project stage and causal relationships between stage-related risks. In the quantitation, brainstorming and questionnaires, and techniques of ranked nodes/paths, risk map and Bayesian truth serum were adopted. Then, a BN-based risk assessment model was developed, and risk analysis was conducted with AgenaRisk software.

Twenty key risks across the lifecycle were determined: some risks were recurring and different risks emerged at various stages with the construction and feasibility most risky. Results showed that previous stages’ risks significantly amplified subsequent stages’ risks. Based on the causality of stage-related risks, a qualitative model was easily constructed. Ranked nodes/paths facilitated the quantification by requiring less statistical knowledge and fewer parameters than traditional BNs. As articulated by a case, this model yielded very simple and easy-to-understand representations of risks and risk propagation pathways.

Rare research has developed a BN risk assessment model from the perspective of project stages. A structured model, a propagation network among individual risks, stage-related risks, and the final adverse consequence, has been designed. This research provides practitioners with a realistic risk assessment approach and further understanding of dynamic and stage-related risks throughout large infrastructures’ lifecycle. The framework can be modified and used in other real-world risk analysis where risks are complex and develop in stages.