Divergent effects of transformational leadership on safety compliance: A dual-path moderated mediation model.

Research on the relationship between transformational leadership and safety compliance has yielded equivocal results. This study investigates how and when transformational leadership produces divergent effects on safety compliance. Using a time-lagged research design, we collect data from a sample of 309 employees in the Chinese construction industry to examine the hypothesized relationship. We find that transformational leadership positively affects safety compliance through employees' felt obligation toward their leader. However, transformational leadership also negatively impacts safety compliance through safety risk tolerance. We further show that employees' perception of the safety climate plays a contingent role in the above processes. Specifically, a high-level perceived safety climate strengthens the positive indirect effect of transformational leadership on safety compliance through felt obligation, while a low-level perceived safety climate strengthens the negative indirect effect of transformational leadership on safety compliance through safety risk tolerance. The theoretical and practical implications of the findings are also discussed.

Fine-Scale Monitoring of Industrial Land and Its Intra-Structure Using Remote Sensing Images and POIs in the Hangzhou Bay Urban Agglomeration, China.

China has experienced rapid industrial land growth over last three decades, which has brought about diverse social and environmental issues. Hence, it is extremely significant to monitor industrial land and intra-structure dynamics for industrial land management and industry transformation, but it is still a challenging task to effectively distinguish the internal structure of industrial land at a fine scale. In this study, we proposed a new framework for sensing the industrial land and intra-structure across the urban agglomeration around Hangzhou Bay (UAHB) during 2010-2015 through data on points of interest (POIs) and Google Earth (GE) images. The industrial intra-structure was identified via an analysis of industrial POI text information by employing natural language processing and four different machine learning algorithms, and the industrial parcels were photo-interpreted based on Google Earth. Moreover, the spatial pattern of the industrial land and intra-structure was characterized using kernel density estimation. The classification results showed that among the four models, the support vector machine (SVM) achieved the best predictive ability with an overall accuracy of 84.5%. It was found that the UAHB contains a huge amount of industrial land: the total area of industrial land rose from 112,766.9 ha in 2010 to 132,124.2 ha in 2015. Scores of industrial clusters have occurred in the urban-rural fringes and the coastal zone. The intra-structure was mostly traditional labor-intensive industry, and each city had formed own industrial characteristics. New industries such as the electronic information industry are highly encouraged to build in the core city of Hangzhou and the subcore city of Ningbo. Furthermore, the industrial renewal projects were also found particularly in the core area of each city in the UAHB. The integration of POIs and GE images enabled us to map industrial land use at high spatial resolution on a large scale. Our findings can provide a detailed industrial spatial layout and enable us to better understand the process of urban industrial dynamics, thus highlighting the implications for sustainable industrial land management and policy making at the urban-agglomeration level.

How Do Different Types of Entrepreneurial Networks and Decision-Making Influence the Identification of Entrepreneurial Opportunities?

Entrepreneurial networks are important for the identification of entrepreneurial opportunities and development in the context of social media. This exploratory research investigates the relationships in entrepreneurial networks, by considering decision-making, and entrepreneurial opportunities, and focusing on the role of decision-making in the relationship between entrepreneurial networks and entrepreneurial opportunities. Using data from 512 Chinese entrepreneurial firms, hierarchical regression analyses and structural equation modeling are employed to create a mediation model that links entrepreneurial networks to entrepreneurial opportunities through decision-making. Our findings are as follows: (1) heterogeneous networks are positively related to innovative opportunities, and homogeneous networks are positively related to imitative opportunities; (2) heterogeneous networks positively affect non-linear decision-making (non-linear DM) while homogeneous networks positively influence linear decision-making (linear DM); (3) positive relationships exist between non-linear DM and innovative opportunities and between linear DM and imitative opportunities; and (4) non-linear DM fully mediates between heterogeneous networks and innovative opportunities, and linear DM partially mediates between homogeneous networks and imitative opportunities. This paper contributes to literature on entrepreneurship by broadening understanding of the mechanisms of entrepreneurial opportunity formation in emerging markets and provides important insights for entrepreneurs and policymakers.

The Role of Extraversion and Openness on Host Country Nationals' Task Performance and Contextual Performance at Work.

PURPOSE: This study answer calls for research on host country nationals (HCNs) by examining factors that may influence HCN task performance and contextual performance during work with their self-initiated expatriate (SIE) colleagues. PARTICIPANTS AND METHODS: Data on personality traits (extraversion, openness), socialization self-efficacy, and frequency of interaction, task, and contextual performance were collected by surveying 373 Chinese HCNs. The first author recruited the HCNs through SIEs working and living in China. SIEs who participated in this project provided the email addresses of HCNs with whom they worked. RESULTS: The frequency of interactions fully mediated the relationship between (a) extraversion with task and contextual performance and (b) openness with task and contextual performance. Only socialization self-efficacy moderated the mediating effects of extraversion on task performance via the frequency of interaction; it also moderated the mediating effects of openness on contextual performance via the frequency of interactions, but not in the hypothesized direction. CONCLUSION: This study investigated the neglected stakeholder in the expatriation process, namely, HCNs, and what factors may impact HCNs' performance during work and collaboration with their SIE colleagues.