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dc.contributor.authorNoreña Chávez, Diego Alonso
dc.contributor.authorChavez Limaylla, Fabbian
dc.contributor.authorRomani Torres, Rocio
dc.contributor.otherNoreña Chávez, Diego Alonso
dc.contributor.otherRomani Torres, Rocio
dc.date.accessioned2026-03-02T20:53:06Z
dc.date.available2026-03-02T20:53:06Z
dc.date.issued2025
dc.identifier.issn2331-1975
dc.identifier.urihttps://hdl.handle.net/20.500.12724/24463
dc.description.abstractthe 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.
dc.formathtml
dc.language.isoeng
dc.publisherCogent OA
dc.relation.ispartofurn:issn: 2331-1975
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectPendiente
dc.titleSustainable project success through entrepreneurial leadership: insights from big data analytics, IPMA, and NCA integration
dc.typeinfo:eu-repo/semantics/article
dc.identifier.journalCogent Business and Management
dc.publisher.countryGB
dc.type.otherArtículo (Scopus / Web of Science)
dc.identifier.isni0000000121541816
dc.identifier.wosidWOS:001519662100001
dc.subject.ocdePendiente
dc.identifier.doihttps://doi.org/10.1080/23311975.2025.2520913
dc.identifier.scopusid2-s2.0-105009486790


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