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The central debate on pollution havens concerns whether the level of environmental regulation in developing countries influences foreign investment location decisions. Most empirical studies are based on aggregate data, while micro-level evidence is relatively lacking in the literature. To fill this research gap, this paper tests for the existence of intracountry pollution havens in China by estimating the determinants of foreign investment flows based on a large firm-level panel dataset. Evidence from this study supports the existence of pollution havens within China in certain industries. However, the sensitivity of foreign investment to environmental regulation varies significantly across industries with different pollution characteristics. Furthermore, when the impact of government subsidies on foreign investment is accounted for, the results show that subsidies can compensate for pollution treatment costs in provinces with stricter environmental regulation.

Succeeding in export markets remains a challenging task for small and medium enterprises (SMEs) operating in developing countries. Empirical studies from these regions on SMEs’ internationalisation remain scarce bringing contrasting evidence to those emerging from developed countries. To increase understanding on these issues, the present study adopts a novel fuzzy-set comparative analysis technique to investigate the combination(s) of different resource factors driving Algerian SMEs’ export performance. Using a sample of 103 exporters, the study identifies two distinct resource configurations likely to boost SMEs export performance. The present study holds important implications for the internationalisation literature and the export promotion organisations in developing countries.

The new Silk Road provides cross-border-e-commerce firms with an opportunity to widen their markets. Under this circumstance, the preference recognition of countries and inventory allocation among overseas warehouses both become critical issues to solve. Three Chinese smartphone brands, including HTC, Huawei, and MI, are selected in this chapter for their relatively enormous sales. DHgate and AliExpress websites are chosen as platforms to analyze the sales for data availability. This chapter first depicts key features of the sales and then, based on which, divide countries into several groups according to their preference for phones by cluster analysis. Then, based on the results of cluster analysis, this chapter further models the inventory assignment among the seven major overseas warehouses that were built by AliExpress in 2015. The results show that the HTC seems to be pursuing the “high value with high price” strategy, while the other two companies seem to be pursuing a hybrid strategy of “low-price” strategy and “high value with low price” strategy. This chapter also provides an assignment pattern of inventory among the overseas warehouses based on the real data of sales and costs.

This chapter offers a comprehensive review the literature on authentic leadership (AL). The authors employ a bibliometric approach to identify, classify, visualise and synthesise relevant scholarly publications and the work of a core group of interdisciplinary scholars who are key contributors to the research on AL. They review 264 journal articles, adopting a clustering technique to assess the central themes of AL scholarship. They identify five distinct thematic clusters: authenticity in the context of leadership; structure of AL; social perspectives on AL; dynamism of AL; and value perceptions of AL. Velt and Sinkovics assert that these clusters will help scholars of AL to understand the dominant streams in the literature and provide a foundation for future research.

The export entry behaviour of small and medium-sized enterprises (SMEs) is a complex behaviour that requires specific tools for a holistic investigation. Thus far, there are inconclusive findings in the literature on key predictors of export behaviour, which may be explained by methodological limitations. In this chapter, using a novel fuzzy-set qualitative comparative analysis for its ability to capture complex causality, the authors study the impact of managerial attributes and collaborative behaviours on SMEs’ export propensity. The analysis is based on a sample of 80 SMEs operating in the emerging country context of Turkey. Participants were selected using a non-probability sampling approach. For export propensity, it is found that no single driver is sufficient to facilitate SMEs’ export entry. Rather, a combination of managerial attributes including export knowledge, international orientation, entrepreneurial orientation and export perception is more likely to lead to export entry. Alternatively, the lack of some of these attributes could be offset by the presence of collaborative activities. Specifically, the shortage of export knowledge, international orientation and entrepreneurial orientation at any rate could be mitigated by collaborative activities. These findings hold important implications for SMEs and export promotion organisations in similar emerging contexts.

With the advance of the Silk Road Initiative proposed by China, it has been a focus of China government to develop strategic emerging industries. The development of strategic emerging industries needs the support of competitive intelligence on many aspects such as strategical planning, policy making, industrial structure adjustment, and technology innovation. However, so far there are few studies toward the competitive intelligence systems for strategic emerging industries. In this article, we focus on a number of issues related to the competitive intelligence for strategic emerging industries in China. First, we conduct a strengths, weaknesses, opportunities, and threats analysis on the situations of strategic emerging industries in China, based on which the necessity of building a competitive intelligence (CI) service system for strategic emerging industries is discussed. Next, the authors present a framework of a CI service system for strategic emerging industries in China. The principles, components, working process, and product forms are deeply described. The CI service system proposed in this article consists of a cooperation network platform, three layered organizations, and three systems, which integrates organizations, information, people, network, and service platforms into an ecosystem to offer competitive intelligence supports for government, industry, and enterprises. Finally, the authors discuss a case study of the proposed CI service system for the new energy automobile industry.

Big data have rapidly developed as a viable solution to many problems faced in engineering industries. Specifically, in the industry of water resource engineering, where there is a tremendous amount of data, various big data techniques could be applied to achieve innovative and efficient solutions for the industry. This study reviewed the proposal of big data as potential approaches to solve various difficulties encountered in managing water resources and related applications in Malaysia. The advantages and disadvantages of big data applications have also been discussed along with a brief literature review and some examples of case studies.