https://hdl.handle.net/20.500.12724/20529 2026-05-13T08:37:57Z 2026-05-13T08:37:57Z Noreña Chávez, Diego Alonso Chavez Limaylla, Fabbian Romani Torres, Rocio https://hdl.handle.net/20.500.12724/24463 2026-04-24T20:15:38Z 2025-01-01T00:00:00Z

Sustainable project success through entrepreneurial leadership: insights from big data analytics, IPMA, and NCA integration Noreña Chávez, Diego Alonso; Chavez Limaylla, Fabbian; Romani Torres, Rocio the purpose of this study is to investigate the impact of entrepreneurial leadership (El)on project success (ps) through the mediating roles of big data analytics (Bda), teamreflexivity (tr), team innovation culture (tic), and team entrepreneurial passion (tEp).using importance-performance map analysis (ipMa) and necessary condition analysis(nca), this study provides complementary insights beyond traditional partial leastsquares structural equation modeling (pls-sEM), highlighting the relevance of theseadvanced analytical techniques. data were collected from 422 it company executives inperu through a survey-based approach. analyses were conducted using smartpls 4.results show that El significantly and positively influences ps and is also a necessarycondition for achieving high ps levels, underlining its strategic role in project-basedorganizations. Moreover, Bda, tr, tic, and tEp mediate this relationship, reinforcing El’seffect on project outcomes. this study contributes to the literature by clarifying themechanisms through which El drives ps and emphasizing the importance of El init-driven contexts. the integration of ipMa and nca offers methodological innovation,enhancing the understanding of El’s role in project performance and setting thisresearch apart from previous studies.

2025-01-01T00:00:00Z Llosa, Luis Gonzalo Pérez Forero, Fernando J. Tuesta Reátegui, Vicente https://hdl.handle.net/20.500.12724/24454 2026-04-24T20:18:07Z 2025-01-01T00:00:00Z

Uncertainty shocks and financial conditions in Latin-American countries Llosa, Luis Gonzalo; Pérez Forero, Fernando J.; Tuesta Reátegui, Vicente We study the connection between financial conditions and economic uncertainty across five major Latin American countries: Brazil, Chile, Colombia, Mexico, and Peru. Using a Bayesian Threshold Vector Autoregression (BVAR) model with stochastic volatility, our findings reveal that sudden jumps in uncertainty tighten financial conditions, increasing the likelihood of financial distress when the country credit spread exceeds a threshold value. Additionally, we find that uncertainty shocks are recessionary, leading to lower domestic short-term interest rates and a depreciation of domestic currencies against the US dollar. Notably, these effects are more pronounced and persistent during periods of financial distress. Another important finding is the heterogeneity in countries' responses to uncertainty, which reflects significant cross-country differences in economic fundamentals and policy frameworks. Finally, our results suggest that, while uncertainty contributes modestly to overall business cycle volatility, it has a substantial impact on financial variables—a dynamic that becomes significantly amplified during episodes of financial distress.

2025-01-01T00:00:00Z Rodríguez Flores, Marco Antonio https://hdl.handle.net/20.500.12724/23264 2026-04-24T20:12:54Z 2014-01-01T00:00:00Z

Panorama Actual del Arbitraje en la Contratación Estatal Rodríguez Flores, Marco Antonio En el Perú se ha observado un notable crecimiento de los arbitrajes en la última década, y en especial los vinculados a contratación estatal. La legislación actual sobre el particular está colaborado al desarrollo del mismo, el presente texto pretende dar a conocer una aproximación a la mecánica del arbitraje en contratación del estado, su funcionamiento, que tipos de controversias son las que resuelven y algunas estadísticas sobre lo que viene ocurriendo en materia arbitral sobre la especialidad.

2014-01-01T00:00:00Z Vargas Bianchi, Lizardo https://hdl.handle.net/20.500.12724/23240 2026-04-24T20:08:55Z 2025-01-01T00:00:00Z

Pattern matching analysis: Overview of its rationale and application in qualitative research Vargas Bianchi, Lizardo As qualitative research progresses, a precise understanding of the specific techniques that are still underdeveloped in literature is key. This discursive article provides a comprehensive overview of pattern matching analysis, a method that compares theoretical patterns derived from existing theories with empirical data to assess the agreement between theory and observed phenomena. Given the lack of consensus on the procedure for conducting this technique, this review addresses the gap in the qualitative literature. The significance of pattern matching analysis is emphasized because of its capacity to bridge theory and data, allowing refinement or qualitative testing of the theory. This article reviews and highlights the approaches and procedures used for pattern matching. It proposes meaning overlap as a guiding criterion for discerning the congruence between theoretical and empirical patterns. This study presents pattern matching as a versatile and formal method, emphasizing its potential for testing and refining theories in deductive qualitative research.

2025-01-01T00:00:00Z