This doctoral study examines how artificial intelligence is translated from isolated pilot projects into scalable organisational innovation capability within the Spanish pharmaceutical R&D ecosystem, and which organisational, governance and regulatory factors enable or constrain that process. Adopting a socio-technical systems perspective combined with general-purpose technology, dynamic capabilities and AI governance literature, it uses a qualitative design based on semi-structured interviews with 20–30 senior stakeholders from pharmaceutical companies, regulators, industry associations and technology providers. Preliminary observations point to data fragmentation, organisational silos, regulatory uncertainty and limited trust as barriers, and to governance frameworks and integration into decision processes as enablers of scaling.

This research examines socioeconomic factors influencing work-authorized Hispanic/Latino immigrants to settle in St. Louis. Through qualitative interviews, it highlights determinants such as career and educational opportunities, quality of life, and social networks. Challenges like language barriers and decentralized communities are addressed to provide insights into improving immigrant retention and vitality for the region.

Prior research has documented gender- and ethnicity-associated pricing differentials in art auction markets, but has generally treated these dimensions as independent and additive. This paper applies intersectionality theory to test that assumption directly. Drawing on 68,672 auction transactions at Christie's, Sotheby's, and Phillips in New York from 2015 through 2024, representing approximately $31.7 billion in hammer value across 2,631 unique artists, we estimate hedonic pricing models with explicit gender-by-ethnicity interaction terms, race-disaggregated specifications, difference-in-differences models anchored to the #MeToo (2017) and Black Lives Matter (2020) movements, and superstar sensitivity tests using cumulative-revenue thresholds. Four findings emerge. First, the relationship between demographics and price is not additive: a Female × Ethnic Minority interaction of +0.443 (p < 0.001) means the net price gap for women of color relative to white male artists is statistically indistinguishable from zero, even though both single-axis main effects are large and negative. Second, 27 superstar artists account for 61.3% of total revenue and are 96.2% male and 98.3% white; their exclusion attenuates or reverses the single-axis main effects while the intersectional interaction remains stable. Third, both cultural movements are associated with statistically significant narrowing of demographic price gaps in the immediate post-event period. Fourth, these gains were not equally distributed: women of color received no statistically measurable price improvement following either movement, a pattern consistent with the intersectional invisibility framework. The paper contributes a large-scale empirical demonstration that intersectional non-additivity holds in a major cultural market, establishes superstar sensitivity testing as a necessary protocol in markets with high revenue concentration, and offers practitioner-relevant guidance for collectors, auction specialists, gallery directors, and museum acquisition officers operating in markets where aggregate diversity statistics may obscure the experience of multiply-marginalized groups.

This presentation explores the intersection of geo-politics and business, highlighting key dynamics such as climate change, transformation of technology, and shifting energy resources. It also discusses the challenges and opportunities posed by these dynamics for businesses and business school researchers, offering insights on strategy, supply chain management, and leadership amidst global uncertainties.

This study explores the impact of individual characteristics, such as prior experience and learning preferences, on training methods for geospatial analytics. It highlights tailored training approaches, leveraging both one-on-one and group settings, to enhance employee proficiency. Anchored in the Technology Acceptance Model and Technology-Organization-Environment framework, it integrates learning theories to provide actionable insights for organizations.

Examines training strategies in geospatial analytics, focusing on one-on-one and group training methods, and their impact on proficiency development, leveraging ESRI technologies.

This working paper examines the implementation of community sustainable models such as entrepreneurship, financial empowerment, and workforce development to alleviate poverty in rural communities. It evaluates participants of the Mexico Sustainability Project Inc. and assesses the potential for these models to foster economic growth and well-being.

This research explores the dynamic capabilities required for effective AI implementation, focusing on absorptive capacity, digital mindset, and organizational factors. Using a conceptual model, the study investigates success factors through case studies in multiple sectors and geographies. Data collection includes interviews with mid to senior-level executives and analysis of project documentation.

This study examines how student and experienced job seekers describe and interpret their recruitment experiences. Although these two groups’ recruitment processes differ structurally and temporally, little research has compared how they experience the job search process. Drawing on affective events theory, this study examines whether these differences translate into distinct job-search experiences. Using a qualitative research design, 66 first-person job-search narratives were passively collected from Reddit and analyzed using a reflexive, comparative thematic analysis. Findings reveal that, despite differences in recruitment processes, both student and experienced job seekers report similar experiences. Across both groups, job seekers describe a demanding, often discouraging job-search process resulting in limited employer communication. In response, job seekers adopt adaptive strategies such as applying en-masse to jobs and rely on technological tools to manage the process. These adaptation strategies, in turn, contribute to higher application volumes and reinforce the conditions that shape the job market. Practical implications suggest that organizations should prioritize clear and timely communication throughout the recruitment process to improve the candidate experience and reduce unintended consequences of current hiring practices.

This research investigates tactics for addressing the underrepresentation of women in top management by utilizing personal branding and marketing theories. Through qualitative analysis of interviews, the study highlights methods to help women advance their careers by managing narratives and strengthening their professional visibility.