Yi Lu

Existing research on civilian rescue teams (CRTs) has predominantly focused on their roles in and contributions to disaster governance, with comparatively limited attention paid to their own development and organisational capacity building (OCB). Strengthening OCB is essential for CRT development through the integration of internal resources and external support. Drawing on resource dependence theory and the resource‐based view, this study develops an integrated theoretical framework to examine OCB in CRTs. Using descriptive statistics and fuzzy‐set qualitative comparative analysis (fsQCA), the study analyses data from 816 teams across China through a national survey. The findings yield two key insights. First, the descriptive analysis documents substantial variation in the geographical distribution, organisational scale, and network integration of CRTs, providing the empirical context for examining their heterogeneous capacity building configurations. Second, and more significantly, the fsQCA results show that high OCB arises from configurations of internal and external resources. Some conditions are substitutable, whereas professional competence remains the core condition for absorbing and converting external resources into OCB. This research contributes to the literature on OCB in disaster management and offers practical implications for strengthening the development of CRTs.

Global supply chains face increasingly frequent disruptions, which require organizations to strengthen supply chain resilience (SCR). Drawing on Organizational Information Processing Theory (OIPT), this study examines how digital transformation and organizational learning combine to enhance SCR. Using data from 61 Chinese high-technology firms, fuzzy-set qualitative comparative analysis (fsQCA) identifies two pathways to high SCR. The first is an ambidextrous learning-driven pathway. Exploitative and exploratory learning jointly help firms refine existing routines and develop adaptive responses to disruption-induced uncertainty. The second is a digitally driven pathway. Digital strategic planning and digital ecosystem coordination help firms structure disruption-related information and coordinate responses across supply chain partners. The configurations for non-high SCR further show that exploratory learning is important for interpreting unfamiliar signals and generating adaptive responses. These findings extend OIPT by showing that SCR emerges from distinct forms of fit between information processing requirements and organizational capabilities. They therefore provide a configurational explanation of resilience formation under uncertainty.

Under the global sustainable development agenda, urban ecological resilience serves as a key indicator of park city. This study established a framework of “Retrospective Evaluation–Prospective Simulation–Zoning Control”. The study chose Chengdu and analyzed land-use changes occurring at three-year intervals from 1999 to 2023. A defense–adaptability–recovery framework was applied to assess urban ecological resilience (UER). The study further simulated land use and urban ecological resilience patterns for 2035 under three scenarios, including natural development, ecological conservation, and park city development scenarios. Finally, it coupled UER with land development intensity to delineate ecological zones and propose differentiated strategies. The results showed that (1) historical UER declined then rose, with low UER concentrated in built-up areas and relatively low UER accounting for the largest share. (2) The park city development scenario yielded the highest UER, but showed limited improvement in existing low-resilience built-up areas. (3) Zoning patterns across scenarios were highly similar, dominated by Potential Development Zones. This study identifies the optimal scenario for enhancing UER and offers zoning strategies that can inform park city development in other cities.

Supply chain resilience (SCR) is increasingly important as firms face recurrent disruptions. This paper examines whether diversity in the top management team (TMT) improves firm-level SCR and why, using panel data for Chinese A-share firms (2011–2023) with controls for industry and year effects. We find that greater TMT heterogeneity is positively associated with SCR, and the baseline model explains of the variance in SCR. Mechanism tests indicate that heterogeneous TMTs promote digital transformation, which partially mediates the effect; environmental uncertainty attenuates the benefit, while higher innovation quality amplifies it. grounded in upper echelons theory (UET), the study shows that TMT heterogeneity has a specific impact on SCR, thereby applying the theory to the SCR context. The results are robust to endogeneity checks and alternative specifications, offering actionable implications for managers seeking resilience.

Multi‐hazard early warning systems (MHEWS) play a pivotal role in reducing disaster risks and significantly enhancing community resilience. However, despite their widespread implementation, the effectiveness of MHEWS is constrained by challenges in warning dissemination and communication (WDC). To address this limitation, this study developed and validated a broadly applicable instrument for assessing the effectiveness of WDC—the warning response index (WRI). Using data from two surveys ( n = 1580), we examined the internal consistency, dimensional structure, and predictive validity of the WRI. The results show that (1) the WRI demonstrates a stable multidimensional structure and high reliability and validity across multiple hazard types; (2) the translation of intentions into concrete protective actions is relatively weak, particularly under extreme weather conditions; (3) conventional measures of warning response intention primarily capture individuals' cognitive evaluation and information processing, and therefore fail to adequately capture the intention–action gap; (4) compared with unidimensional measure, the WRI more effectively predicts the overall effectiveness of WDC. We argue that future research should pay greater attention to the intention–action gap and that targeted WDC strategies should be optimized based on the characteristics of both warning messages and recipients.

The rapid growth of digital technology has fundamentally reshaped the entrepreneurial landscape, giving rise to complex digital entrepreneurial ecosystem. While digital entrepreneurship is often presented as a means of empowering women, its actual impact remains debated. By integrating social role theory (SRT), this study constructs and applies an integrated Gender–Technology–Entrepreneurship (GTE) framework. Through a grounded theory (GT) analysis of in-depth interviews with seven Chinese women digital entrepreneurs, this study examines the dual role of digital technology in simultaneously enabling and constraining their enterprises. Our findings reveal that digital technology functions as both an empowerment amplifier and a constraint mechanism. We further identify digital private domain entrepreneurship (DPDE) as a strategic adaptation. It involves constructing sustainable sub-ecosystems by leveraging privatized user relationships and emotional capital. This study contributes to a nuanced understanding of the dynamic interplay between gender, technology, and entrepreneurship. It also offers practical insights for entrepreneurs and policymakers aiming to foster sustainable digital ecosystems.