Based on Social Cognitive Theory, this study examines the relationship between generative artificial intelligence competence and entrepreneurial intention, with entrepreneurial self-efficacy and opportunity recognition as mediators. Despite growing interest in generative AI and entrepreneurship, limited evidence exists regarding how generative AI competence is associated with entrepreneurial intention through these cognitive mechanisms, particularly through their sequential interplay. Using a cross-sectional quantitative design, data were collected from 1135 business students at a private university in Lima, Peru, and analyzed using PLS-SEM. The results indicate positive relationships among generative artificial intelligence competence, entrepreneurial self-efficacy, opportunity recognition, and entrepreneurial intention. Furthermore, the proposed indirect effects were statistically significant, with opportunity recognition representing the strongest indirect pathway. A statistically significant but comparatively small sequential indirect association through entrepreneurial self-efficacy and opportunity recognition was also observed. Overall, the results broaden the application of Social Cognitive Theory by positioning generative AI competence as a technology-specific capability associated with entrepreneurial cognition and intention. From a practical perspective, the findings suggest that university entrepreneurship education could integrate generative AI training with activities focused on identifying and evaluating business opportunities.
This structured narrative review examines how green human capital (GHC) is associated with sustainable organisational performance through capabilities, innovation and contextual conditions. It uses thematic analysis and the Theory–Context–Characteristics–Methodology (TCCM) framework to synthesise 55 purposively selected publications from 2020–2026. Database queries, screening decisions and study-level exclusion records follow the PRISMA 2020 Guidelines to ensure replicability and traceability of corpus selection. The appraisal drew on full texts, abstracts and complete bibliographic metadata, as available for each publication. AI-assisted judgments on these publications underwent independent human verification. These limitations may reduce confidence in coverage, appraisal and interpretation. Within the retained corpus, innovation, human resource management, knowledge, learning and supply-chain practices recur in reported resource–performance relationships. Leadership, culture, institutions and digital capability appear as antecedents or boundary conditions. These patterns are not estimates of causal effects or evidence of field-wide prevalence. The proposed Green Human Capital Conversion Framework organises them into hypotheses for testing. The agenda prioritises a reproducible systematic review, human-verified appraisal, longitudinal and multisource designs, and clearer separation of green and digital competencies.
The relationship between mindfulness and creativity in workplace settings has attracted growing interest, yet empirical research in this area remains fragmented and at an early stage of development. Given this emerging status, the present article offers a critical narrative review aimed at mapping the current evidence and identifying conceptual and methodological gaps to guide future research. A structured literature search, preregistered in PROSPERO (CRD42024627551), was conducted in PubMed, Scopus, and Web of Science up to February 2025, following PRISMA guidelines, and was updated in September 2026 using the same search strategy and eligibility criteria. Five studies met the inclusion criteria. The included studies were heterogeneous in design, intervention characteristics, and outcome assessment, supporting a narrative rather than quantitative synthesis. The findings suggested possible relationships between mindfulness-based interventions and creativity-related outcomes, including creativity and problem solving, as well as related processes such as emotion regulation, working memory, cognitive flexibility, and coping. Building on these findings, the review integrates the available evidence with the broader theoretical literature to outline a preliminary integrative conceptual framework linking cognitive, affective, and motivational processes that may explain how mindfulness relates to creativity at work, while identifying key conceptual and methodological gaps to guide future research.
Drawing on person–environment fit and self-congruity theory, this study examines whether tourism preferences and travel-related outcomes differ across 16 self-reported personality types and evaluates the potential contribution of personality information to offering-level market segmentation. A cross-sectional survey generated 502 valid responses from Thai travellers recruited through online and on-site convenience sampling. Pearson’s chi-square tests examined differences across personality types in interest in 18 tourism offerings, reported travel-expenditure categories, and preferred travel companions. The Benjamini–Hochberg procedure was applied to control the false discovery rate across the tourism-offering tests. Significant associations, with small-to-moderate effect sizes, were identified for selected nature-based offerings, comprising ecotourism, geotourism, agritourism, and astrotourism, and selected special-interest offerings, comprising ethnic tourism, adventure tourism, homestay and farm-stay tourism, and meetings, incentives, conferences, and exhibitions tourism. No significant associations were found for the cultural tourism offerings, travel-expenditure categories, or preferred travel companions. These findings indicate that differences across self-reported personality types are offering-specific and are not consistently evident across broader travel-related outcomes. Voluntarily provided personality information may therefore serve as a supplementary input for initial tourism recommendations when behavioural histories are unavailable. However, the results do not establish individual-level predictive accuracy, incremental recommendation value, or stable personality-based market segments. The study clarifies the conditions under which categorical personality information may contribute to tourism personalisation and provides an exploratory foundation for future research using validated personality measures, multi-item preference scales, and out-of-sample predictive modelling.
This study examines how organizational design, competency management, and workforce planning can be integrated to support coordination and operational capacity in a growing Colombian technology company. Drawing on information processing theory and a competency-based perspective, it adopts a single-case design combining document analysis, functional mapping, aggregated workforce data, and an exploratory survey of 41 employees. The findings identify hierarchical dependence, unclear decision rights, cross-functional frictions, and changing competency priorities. Based on this evidence, the study develops the ON Competency Model and an integrated framework linking structural diagnosis, competency requirements, and workforce planning. It proposes that workforce composition should be determined after clarifying processes, interdependencies, decision rights, and required capabilities. The framework remains to be validated through longitudinal and comparative research.
