Organizational resilience is a key aspect for sustaining comparative benefit and performance amidst uncertainties such as pandemics, political volatility, and financial crises. Despite its significance, limited studies have explored the potential sufficient solutions to resilience-enabling constructs, especially in emerging economies. This research combines the Resource-Based View (RBV) and Transaction Cost Economics (TCE) to propose a theoretical framework for understanding and predicting organizational resilience. Using survey data from 348 respondents serving corporate industries in Bangladesh, we employ Necessary Condition Analysis (NCA) and fuzzy set Qualitative Comparative Analysis (fsQCA) to identify causal configurations to predict organizational resilience. The findings reveal five configurations that are sufficient for achieving high resilience and four configurations associated with low resilience, highlighting the nuanced interplay between resources, costs, and adaptability. Specifically, flexibility, response, recovery, benevolence, and commitment must need conditions for achieving organizational resilience in NCA analysis. In fsQCA analysis, flexibility and commitment are core conditions, whereas response and information sharing are peripheral conditions for achieving high organizational resilience. This study strengthens resilient strategies by demonstrating the supplementary contributions of RBV and TCE. This combination offers policymakers actionable insights to develop resilient strategies that enhance organizational adaptability and performance in turbulent times.

Stakeholder trust is central to advancing sustainable development, yet it is increasingly strained as corporate sustainability commitments expand faster than verifiable performance. This study examines how authenticity and transparency in corporate sustainability practices influence the formation and maintenance of stakeholder trust under conditions of scrutiny and institutional accountability. Using longitudinal evidence from European publicly listed firms and incorporating both comparative and contextual analytical perspectives, the research shows that trust grows when organizations communicate candidly, report measurable progress, and reinforce their commitments through credible assurance. Trust is shaped not by the volume of sustainability reporting but by the sincerity and consistency of alignment between commitment and demonstrable action. The findings highlight the role of institutional safeguards that encourage honest disclosure and responsible conduct as firms navigate sustainability transitions. This work advances the understanding of sustainable development governance by clarifying how credible communication and transparent practices can reinforce accountability and strengthen legitimacy. The insights offer practical direction for organizations and policymakers working to foster sustainability cultures grounded in integrity and long-term trust.

The United States is trapped in a fossil fuel infrastructure lock-in, where decades of investment in coal, oil, and gas systems create economic and political resistance to renewable energy transitions, resulting in a renewable energy share (RES) of only 6.8%, compared with 24.5% in the European Union (EU). In addition, the fragmented state–level approach, lacking federal coordination, has created extreme disparities, with a 30-fold gap between leading states, such as Maine (27.55%), and laggards, such as the District of Columbia (0.89%). Therefore, this study examines the long-term determinants and short-term dynamics of renewable energy adoption across 51 US jurisdictions from 1970 to 2023, addressing the income-renewable energy paradox while accounting for cross-sectional dependence (CSD), parameter heterogeneity, and mixed integration orders. Employing advanced econometric techniques, including the cross-sectionally augmented ARDL (CS-ARDL), pooled mean group (PMG), augmented mean group (AMG), and the common correlated effects mean group (CCE-MG) estimators, on a comprehensive dataset of 2754 observations, we investigate the long-run and short-run factors associated with renewable energy transitions in an interconnected federal system. The analysis shows strong CSD and substantial persistence in RES, reflecting integrated energy markets and shared federal policies. Across the main specifications, higher energy prices are positively associated with RES, whereas carbon intensity (CIN) is negatively associated with it. The Mundlak decomposition further suggests that the income-renewable relationship differs across dimensions: Structurally wealthier states tend to exhibit lower average renewable shares, but within-state income changes are weaker and less stable across specifications. Alternative lag structures and heterogeneous factor-augmented estimators broadly support the robustness of the energy price and CIN results, although some coefficients remain specification-sensitive. The results point to the importance of federal-state coordination and state-specific transition strategies in an interconnected energy system. They also suggest that relative energy prices, infrastructure conditions, and structural differences across states are relevant for understanding renewable energy adoption.