Resumo em Inglês:

Abstract Purpose This study investigates how Environmental, Social, and Governance (ESG) performance enhances corporate resilience through trade credit mechanisms, considering variations in supplier concentration and industry pollution intensity. Theoretical framework Drawing on stakeholder theory, the study presents the pathway "ESG → Trade Credit → Resilience," showing how responsible governance strengthens stakeholder ties and supports resilience via supply chain financing. Design/methodology/approach Using panel data from 4,375 Chinese A-share listed firms from 2014 to 2023, the study builds a resilience index through entropy weighting. Two-way fixed effects and mediation models are employed to test the mechanisms. Findings ESG performance significantly improves resilience. Trade credit acquisition, provision, and net financing mediate this relationship. The effects are stronger for non-heavy-polluting firms and those with lower supplier concentration. Practical & social implications of research The study highlights trade credit as a financial channel linking ESG to resilience, offering insights for firms, regulators, and investors seeking resilience strategies under uncertainty. Originality/value By integrating ESG, trade credit, and resilience, this research extends resilience and stakeholder theory and introduces a novel heterogeneity perspective.

Resumo em Inglês:

Abstract Purpose This study aims to explore the impact of electronic word-of-mouth (eWOM) credibility on purchase intention, with eWOM adoption and product attitude acting as mediators. Theoretical framework The research links eWOM credibility to consumer purchase intention, using the cognition-affection-behaviour (CAB) model. In this model, eWOM credibility represents the cognitive component, while eWOM adoption and product attitude represent the affective component, with purchase intention reflecting the behavioural component. Design/methodology/approach The study was based on 318 valid responses from Facebook users who completed a self-administered questionnaire. A structural equation model (SEM) was constructed using SmartPLS 4.0. Findings The findings indicate that eWOM credibility is influenced by the homophily of the source, strength of the argument and trustworthiness of the source, which ultimately affect purchase intention. Additionally, the study revealed that eWOM adoption mediates the relationship between eWOM credibility and purchase intention. Practical & social implications of research The research adds depth to our understanding of the factors influencing consumer behaviour. It advances the literature on digital marketing and consumer behaviour by highlighting adoption as a key mechanism through which eWOM credibility translates into behavioural outcomes. The insights presented in the study offer actionable recommendations for improving eWOM. On a social level, by raising awareness of the factors that contribute to eWOM credibility, the study encourages broader conversations around transparency, digital ethics, and consumer empowerment in the online marketplace. Originality/value To the best of the author's knowledge, this is the first study to examine the interaction between eWOM credibility and its determinants (source homophily, argument strength, and source trustworthiness), as well as eWOM adoption and product attitude, within the CAB model framework.

Resumo em Inglês:

Abstract Purpose This study examines the relationship between corporate governance and asset risk estimation models at the aggregate and sector-specific levels. Theoretical framework The European Union promotes best practices in corporate governance, and as a result Spain requires compliance with the Corporate Governance Report and Recommendations. Design/methodology/approach Using accounting information and mandatory public disclosures, the study estimates multiple linear regression models to examine the relationship between the main dimensions of corporate governance (remuneration, monitoring and governance structure) and asset risk. Findings At the cross-sectoral level, the analysis shows that most of the variability in asset risk depends on two control variables (size and membership of the financial sector) and one variable related to corporate governance (the percentage of proprietary directors). The results do not provide statistically significant evidence to support the hypotheses concerning the variables related to corporate governance, which justifies the need for a sectoral analysis. Once intersectoral heterogeneity is eliminated, the presence of blockholders, executive remuneration, the existence of proprietary directors, and the number of board meetings explain a significant proportion of the intrasectoral variability. Practical & social implications of research Regulators can promote governance structures; investors can assess their risk profile based on the size and sector of the firm; and boards of directors can adapt corporate governance to their sector. Originality/value The study uses mandatory public information available since 2018 to examine the link between corporate governance and asset risk, highlighting cross-sectoral heterogeneity and the need for sectoral analysis.

Resumo em Inglês:

Abstract Purpose This study examines the innovation trajectories adopted by a leading organisation and ecosystem orchestrator in order to structure and enable future innovations. Theoretical framework Orchestration theory (network and resource perspectives), ecosystem lenses (knowledge, entrepreneurship and innovation) and open innovation mechanisms explain how a focal incumbent converts science into market value. Design/methodology/approach A qualitative single-case study of the largest private healthcare organization in Latin America was conducted. Semi-structured interviews were conducted iteratively with executives, managers and stakeholders, resulting in a conceptual framework for ecosystem orchestration. Findings The study reveals that the organisation acts as an orchestrator, bridging the gap between research and market-driven innovations. Inbound and outbound open innovation play a crucial role in strategic collaborations. Infrastructure, intellectual property and technology transfer help to mitigate uncertainties and support scalability. Practical & social implications of research We contribute to the understanding of ecosystem orchestration by integrating knowledge, entrepreneurship and innovation. Established organizations can catalyse innovation through open innovation models. The practical contributions for organisations looking to integrate open innovation models include fostering cross-sector collaboration, supporting intrapreneurs, optimising knowledge flow, mitigating risks and accelerating technology commercialisation. As social contributions accelerate the science-to-solution process in healthcare, they improve outcomes and system efficiency. Originality/value This study integrates orchestration and ecosystem perspectives to demonstrate how incumbents can catalyse innovation via inbound and outbound open innovation. It offers a transferable framework for managing the transition from research to market.