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Item type:Publication, Situation of trust in grounded theory versus structural equation modeling: A comparative bibliometric study for management(Universidad Nacional Autónoma de Mexico, 2020-01-01)Los paradigmas cuantitativo y cualitativo son utilizados por millones de investigadores, pero no se conoce el nivel de confianza depositado en cada uno de ellos. El objetivo del artículo bibliométrico es estudiar a la teoría fundamentada versus la modelación de ecuaciones estructurales para determinar en cuál de las dos metodologías confía más la comunidad científica. A través de estadística descriptiva y regresional, los hallazgos más relevantes consisten en que, si bien la comunidad científica confía ligeramente más en el paradigma cuantitativo que en el cualitativo, esta situación tendería a revertirse para 2022, dando un giro hacia el cualitativo. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Moral expansiveness around the world: the role of societal factors across 36 countries(SAGE Publishing, 2022-07-04)What are the things that we think matter morally, and how do societal factors influence this? To date, research has explored several individual-level and historical factors that influence the size of our ‘moral circles.' There has, however, been less attention focused on which societal factors play a role. We present the first multi-national exploration of moral expansiveness—that is, the size of people’s moral circles across countries. We found low generalized trust, greater perceptions of a breakdown in the social fabric of society, and greater perceived economic inequality were associated with smaller moral circles. Generalized trust also helped explain the effects of perceived inequality on lower levels of moral inclusiveness. Other inequality indicators (i.e., Gini coefficients) were, however, unrelated to moral expansiveness. These findings suggest that societal factors, especially those associated with generalized trust, may influence the size of our moral circles. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Understanding online repurchase intention among young Colombian consumers: A relationship-based approach(Elsevier BV, 2025-12-01)E-commerce has rapidly evolved into a dominant force in Latin American markets, reshaping how young consumers engage with digital platforms. Despite this growth, empirical models explaining repurchase intention remain limited and theoretically fragmented. This study addresses this gap by applying the Theory of Planned Behavior (TPB) to examine how customer experience, satisfaction, trust, and word of mouth (WOM) influence online repurchase intention among Colombian university students—a digitally mature yet understudied segment. Using a cross-sectional survey of 283 participants and covariance-based structural equation modeling (CB-SEM), the study tests a relational model comprising eight hypotheses. Findings confirm that satisfaction is the strongest predictor of repurchase intention and acts as a key mediator between experience, trust, and WOM. Additionally, customer experience directly shapes satisfaction and WOM, and WOM enhances trust. However, trust does not directly influence repurchase intention. The study advances theoretical understanding by refining TPB in a digital Latin American context and offers actionable insights for e-retailers aiming to strengthen loyalty through experiential and socially reinforced strategies.4 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Introducing the cognitive-emotional technology acceptance model (CETAM): preliminary evidence from banking chatbot users(Emerald Publishing Limited, 2026-01-01)This study proposes and validates the Cognitive-Emotional Technology Acceptance Model (CETAM), a framework that integrates cognitive, emotional and behavioral factors to explain the adoption of banking chatbots. Design/methodology/approach An online survey was conducted with 231 banking chatbot users across six Latin American countries. A multi-method SEM approach was employed: partial least squares-structural equation modeling (PLS-SEM) (SmartPLS 4.0) for predictive evaluation (R2, Q2, f2, 5000-resample bootstrap) and covariance-based (CB-SEM) [Jeffreys's Amazing Statistics Program/Maximum Likelihood Robust (JASP/MLR)] for confirmatory fit assessment [Comparative Fit Index (CFI), Tucker–Lewis Index (TLI), Root Mean Square Error of Approximation (RMSEA), Standardized Root Mean Square Residual (SRMR)]. Psychometric validation confirmed reliability (a, CR > 0.70), convergent validity (average variance extracted (AVE) >0.50) and discriminant validity (heterotrait-monotrait (HTMT) <0.85, Fornell–Larcker). Common method bias/variance (CMB/CMV) was assessed via Harman's single-factor test (first factor: 49.15% < 50% threshold; Bozionelos and Simmering, 2022). Mediation effects were tested using bias-corrected bootstrap confidence intervals. Findings An online survey was conducted with 231 users of banking chatbots in six Latin American countries. The study employed a multi-method SEM approach: PLS-SEM (SmartPLS 4.0) for predictive evaluation (R2, Q2, f2, bootstrap routes with 5,000 resamples) and CB-SEM (JASP/MLR) for confirmatory theoretical testing and overall fit assessment (CFI, TLI, RMSEA, SRMR). Rigorous psychometric validation ensured reliability (a, CR > 0.70), convergent validity (AVE >0.50) and discriminant validity (HTMT <0.85, Fornell-Larcker criterion). CMB/CMV were assessed via Harman's single-factor test, with the first unrotated factor accounting for 49.15% of total variance, below the recommended 50% threshold. Mediation effects were examined using bootstrap with bias correction and confidence intervals. Research limitations/implications While the CETAM demonstrates strong explanatory power for banking chatbots, its generalizability to other financial technologies requires further testing. The model may be more applicable to high-risk financial decisions than to routine transactions. Future research should incorporate more differentiated emotional states beyond trust, employ experimental designs to map cognitive-emotional causal pathways and test the model with balanced, multinational samples to examine actual technology use within the cognitive-emotional-behavioral process. Practical implications The CETAM provides banking institutions with a structured implementation framework that prioritizes interventions according to their psychological impact. Banking institutions should prioritize building trust and omnichannel access when implementing chatbots, as these factors show the greatest psychological impact. Structural safeguards should follow, while traditional usability features are secondary. This suggests a strategic reorientation: first establish emotional trust and contextual reliability, and then introduce functional benefits within this secure framework. Marketing and onboarding messages should reflect the CETAM cognitive-emotional sequence – addressing security and accessibility concerns before highlighting usability – to align with customers' psychological adoption process. Originality/value This study presents CETAM, an integrated framework that systematically combines cognitive, emotional and behavioral factors to explain the adoption of banking chatbots. Through validation using a multi-method SEM approach, it demonstrates the primacy of trust as an emotional factor preceding chatbot usage intentions. The CETAM's theoretical innovation lies not merely in adding emotional constructs to existing models but in reconceptualizing the acceptance process itself as a sequential cognitive-emotional cascade, coherent with Lazarus's (1991) proposition that cognitive appraisals serve as the foundation for emotional and behavioral responses.