The rapid advancement of the Internet of Vehicles (IoV) necessitates robust solutions that balance user privacy with efficient service delivery, particularly for personalized charging station recommendations. This paper proposes a lightweight anonymous authentication and secure computing service integration scheme based on distributed center architecture. By leveraging a distributed dual-cloud architecture, the scheme ensures secure and traceable anonymous authentication while facilitating efficient vehicle-to-service communication. Vehicle users encrypt their preference data, which is processed using matrix factorization and secure multi-party computation to deliver accurate, privacy-preserving charging station recommendations. The quick reconnection mechanism we established reduces re-authentication time costs by roughly 53 percent, while the dual-server architecture supports privacy computing for vehicles after authentication. The framework integrates multi-source heterogeneous data, such as real-time traffic and charging station status, to enhance recommendation accuracy and timeliness. Experimental results demonstrate that the proposed approach achieves strong anonymity, traceability, and low-latency performance, offering a practical and scalable solution for secure, intelligent IoV services.
Against the backdrop of global climate change and rising uncertainty, the resilience of urban agglomerations, as the core of regional development, is critical to national security. This study investigates the spatiotemporal evolution and driving mechanisms of urban resilience in 136 counties of the Shandong Peninsula urban agglomeration from 2010 to 2022. We constructed an urban resilience evaluation system and employed methods such as the entropy-weighted TOPSIS model, kernel density estimation. The main findings are: (1) Urban resilience showed a fluctuating upward trend, with a moderating growth rate. Development across dimensions is imbalanced; the economic dimension is the primary contributor, while the ecological dimension has recently shown rapid growth. (2) Spatially, resilience exhibits a gradient differentiation pattern of “higher in the east and north, and lower in the west and south”, forming four high-resilience county clusters with strong spillover effects. The level of coupling and coordination among the various subsystems of urban resilience has steadily improved. Positive spatial autocorrelation is significant, with clusters being predominantly “high-high” (expanding) and “low-low” (stable). (3) The dynamic evolution of urban resilience shows path dependence and club convergence. The transitions of urban resilience are stable and gradual, with few leapfrog breakthroughs. A significant spatial spillover effect exists: “high-level neighborhoods promote upward mobility in resilience levels, while low-level neighborhoods reinforce development lock-in”. (4) Spatiotemporal differentiation is driven by multiple factors. Economic vitality is dominant, while the natural environment, urban scale and people’s living standards are key supports. Factor interactions are predominantly enhancing, especially those involving economic vitality. The effects of different factors varied substantially across time and space. These findings provide empirical support for optimizing urban planning, helping the western counties of the study area break free from the “low-low” lock-in and promoting coordinated regional resilience improvement.
PurposeGreen intellectual capital (GIC) is acknowledged for its contribution to sustainability and firm performance; its effect on green cost competitive advantage (GCCA) and green differentiation competitive advantage (GDCA) remains underexplored within the environmental management literature. To address this research gap, this study applies social capital theory (SCT) to develop and test a moderated and mediation model examining the pathways and contingencies through which GIC influences GCCA and GDCA.Design/methodology/approachThe data set of 456 respondents from the Pakistani hotel sector has been collected using a simple random sampling technique. We analyzed regression, moderation and mediation analyses using PLS-SEM.FindingsThe findings reveal that GIC significantly enhances both GCCA and GDCA. Green innovation (GI) partially mediates these relationships, while knowledge spillover (KOF) moderates the effects of GIC on both GI and GCA.Originality/valueOur study advances the literature on intellectual capital and environmental management by elucidating the strategic role of GIC in achieving green competitive advantage and by identifying the underlying GI as mediating, and KOF as moderating mechanisms that facilitate this effect.
Whether and how environmental regulation affects ecological security remains a subject of academic debate, particularly concerning the largely unexplored contingent role of energy ecological efficiency (EEE). This study addresses two primary research questions: (1) How significantly does environmental regulation impact regional ecological security, and through what mechanism does this relationship operate? (2) How does energy ecological efficiency (EEE) precisely moderate this relationship? Utilizing panel data from 13 prefecture-level cities in Jiangsu Province, China (2008–2020), we evaluate ecological environment quality (EQ) and ecological security (ES) using a hybrid approach of TOPSIS, AHP, and grey relational analysis. EEE is evaluated via a super-SBM DEA model, and empirical testing is conducted using a two-way fixed-effects model. The results demonstrate that while environmental regulation contributes positively to ecological security, this effect is primarily indirect, transmitted through significant improvements in ecological environment quality. Furthermore, EEE serves as a positive moderator between environmental regulation and EQ, suggesting that regulatory efficacy is dependent upon the level of regional energy–economic–ecological coordination. These findings, which remain robust across multiple sensitivity tests and endogeneity checks, clarify the internal mechanisms linking regulation to security. The identification of EEE as a critical enabling factor provides significant policy implications for regions seeking to coordinate export-led growth with ecological sustainability.
PurposeThis research explores the effect of role breadth self-efficacy and role ambiguity as mediating variables between electronic performance monitoring and leadership effectiveness by integrating the theory of substitutes for leadership and role theory. Additionally, it examines the moderating effect of benevolent leadership on the relationship between electronic performance monitoring and leadership effectiveness.Design/methodology/approachTo address this gap in the literature and provide insights into the effects of electronic monitoring on leadership effectiveness, we develop a model illustrating the influence mechanism of electronic performance monitoring on leadership effectiveness by incorporating the theory of substitutes for leadership and role theory.FindingsEmploying a cross-lagged methodological approach, our study examined a sample of 412 team leaders and revealed that electronic performance monitoring indirectly influences leadership effectiveness through its impact on both role breadth self-efficacy and role ambiguity. Additionally, benevolent leadership moderates the relationships between electronic performance monitoring and role breadth self-efficacy/role ambiguity and moderates the relationship between electronic performance monitoring and leadership effectiveness by moderating the mediating effect of role breadth self-efficacy/role ambiguity.Originality/valueIn the context of a progressively digitalized work environment, there remains a deficiency in comprehension surrounding the impact of electronic performance monitoring on leadership effectiveness.
