por Ming Liu en 14 de marzo de 2026 a las 00:00
The rapid growth of electric vehicles (EVs) is reshaping transport systems and accelerating the sustainable digital transformation of smart mobility. EV battery-swapping, delivered through platform-based, data-driven service networks, offers a low-carbon alternative to conventional refueling and plug-in charging by shortening replenishment time and enabling centralized battery management. However, the behavioral mechanisms driving user adoption of this digitally enabled infrastructure remain insufficiently understood. This study develops a socio-technical system (STS) model in which social and technical drivers influence users’ intention to adopt EV battery-swapping services via the dual mediation of perceived trust and perceived risk. Using a three-stage mixed-methods design that combines a PRISMA-based literature review, expert interviews with user-journey mapping, and a large-scale user survey, the study identifies six social and technical antecedents of EV battery-swapping adoption. Based on 565 valid responses from EV users in the Beijing–Tianjin–Hebei region, partial least squares structural equation modeling and multi-group analysis are employed to test the proposed framework. The results show that all six antecedents significantly affect perceived trust and perceived risk, which in turn mediate their impacts on adoption intention, with notable heterogeneity across income and usage-frequency groups. The findings provide a mechanism-based extension of STS theory for digitally mediated battery-swapping infrastructure by showing how socio-technical conditions shape adoption via trust and risk, and they offer actionable implications for operators and policymakers to build secure, user-centered swapping services within intelligent transport systems.
por Oliver Chika Ike en 14 de marzo de 2026 a las 00:00
Environmental pressure in Nigeria persistently escalates despite several development efforts, prompting questions about the structural factors contributing to the nation’s ecological vulnerability. Considering this, the study employs a time-series research design that synthesizes collective theoretical perspectives to elucidate the interplay between income inequality (GINI), institutional quality (INST), trade in services (TO), and population density (POPd) in shaping Nigeria’s ecological footprint (ECF), utilizing data for the aforementioned variables from 1960 to 2024. The analysis shows time-varying dynamics across pollution regimes using Quantile-on-Quantile Regression (QQR) and Wavelet Quantile Correlation (WQC). The result reveals notable asymmetries across the ECF distribution. GINI and POPd intensify ecological pressure mainly at higher ECF quantiles. While INST serves as a key mitigating factor of ECF, particularly in a long-term pollution scenario. TO exhibits a regime-dependent effect, aligning with the Pollution Haven expectation in poor environments. These findings suggest that environmental outcomes in emerging economies are shaped by structural inequality and institutional strength. Highlighting the necessity of building institutional capacity to decouple inequality that drives ecological degradation. Thus, connecting national strategies with the Sustainable Development Goals (SDGs) 1, 8, 10, 11, 12, 13, 15, 16, and 17. These provide actionable insights into an inclusive and resilient environment.
por Emirhan Yenisehirlioglu en 14 de marzo de 2026 a las 00:00
Energy security has become a strategic priority for ensuring sustainable economic development, particularly for European Union (EU) countries characterized by high external energy dependence. This study investigates the key drivers of energy security risks in selected EU countries over the period 1995–2018, focusing on economic growth, tourism expenditures, technological innovation, renewable energy consumption, and urbanization. The empirical analysis employs panel vector autoregression and a panel error correction model to examine short- and long-run causal dynamics, while the augmented mean group estimator captures cross-country heterogeneity. The findings indicate that economic growth is the primary short-run determinant of energy security risk, whereas all variables exert significant long-run effects. Country-level results reveal common patterns for growth, renewable energy consumption, and urbanization, but heterogeneous impacts for tourism and technological innovation. These results suggest that strengthening renewable energy adoption, promoting innovation, and supporting sustainable urban development can enhance long-term energy resilience. Overall, this study provides policy-relevant insights for designing sustainability-oriented energy strategies aligned with the European Union’s climate transition goals.
por Cheng-Wen Lee en 14 de marzo de 2026 a las 00:00
This study examines how ethical leadership promotes employees’ corporate social responsibility (CSR) engagement in small- and medium-sized enterprises (SMEs) through a sequential mechanism of Trust in leadership and organizational commitment, and whether this process differs across national contexts. Survey data were collected from SME employees in Pakistan (n = 102), India (n = 70), and Taiwan (n = 96). Using a multi-group partial least squares structural equation modeling (PLS-SEM) approach with bootstrapping, we test direct, indirect, sequential mediation, and moderation effects linked to national culture (collectivism) and institutional support. Results show that ethical leadership has a positive direct effect on CSR engagement and an additional indirect effect via Trust in leadership and organizational commitment. The strength of these relationships varies across the three countries, underscoring the importance of cultural and institutional conditions when translating leadership ethics into CSR-oriented behaviors. The findings extend CSR micro foundations in SMEs and offer actionable guidance for leadership development and policy support in emerging and advanced economies.
por Ibrahim Ejdayid Ajbarah Mansour en 14 de marzo de 2026 a las 00:00
This paper addresses the persistent failure of major digital investments to achieve sustained smart technology adoption in developing countries, limiting productivity and business growth. Although existing research identifies institutional weaknesses as a central barrier, it provides limited guidance on how progress can occur within such constraints. To address this gap, the Institutional Framework for Smart Technology Adoption (IFSTA), pronounced Eye-f-sta, is developed as a contingent institutional framework linking digital transformation theory with practical assessment tools. IFSTA argues that adoption success depends not on technology alone, but on strategic alignment with specific institutional contexts. The framework is built around three core pillars, governance architecture, socio-technical infrastructure, and adaptive capacity, and explains how their interactions generate differentiated adoption outcomes across five institutional contexts. Localization is conceptualized as a cross-cutting mediating mechanism through which governance arrangements, standards, platforms, and capabilities are adapted to domestic realities, shaping both current performance and future transformation potential. Three questions guide the analysis: how institutional contexts moderate the impact of infrastructure investment; what complementarities and compensatory mechanisms enable progress under institutional constraints; and how digital investments can be sequenced according to institutional starting points. To operationalize this logic, the Performance–Knowledge Index (PKI) is introduced as a context-sensitive diagnostic tool that identifies binding constraints and supports sequenced intervention design. The study contributes a contingent institutional model, a methodological bridge between diagnosis and implementation, and a structured, actionable framework for advancing sustainable digital adoption in developing economies.