Sustainable project success through entrepreneurial leadership: insights from big data analytics, IPMA, and NCA integration

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), team reflexivity (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 least squares structural equation modeling (PLS-SEM), highlighting the relevance of these advanced analytical techniques. Data were collected from 422 IT company executives in Peru through a survey-based approach. Analyses were conducted using SmartPLS 4. Results show that EL significantly and positively influences PS and is also a necessary condition for achieving high PS levels, underlining its strategic role in project-based organizations. Moreover, BDA, TR, TIC, and TEP mediate this relationship, reinforcing EL’s effect on project outcomes. This study contributes to the literature by clarifying the mechanisms through which EL drives PS and emphasizing the importance of EL in IT-driven contexts. The integration of IPMA and NCA offers methodological innovation, enhancing the understanding of EL’s role in project performance and setting this research apart from previous studies.

Authors

Institutions

Publication Details

Journal
Cogent Business & Management
Published
2025-06-28
DOI
https://doi.org/10.1080/23311975.2025.2520913
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sustainable project success through entrepreneurial leadership: insights from big data analytics, IPMA, and NCA integration

Diego Norena-Chávez, Rocio Romani-Torres, Fabbian Chavez-Limaylla
Cogent Business & Management
Big Data and Business Intelligence
article

Sustainable project success through entrepreneurial leadership: insights from big data analytics, IPMA, and NCA integration

Diego Norena-Chávez, Rocio Romani-Torres, Fabbian Chavez-Limaylla
article en

Abstract

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), team reflexivity (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 least squares structural equation modeling (PLS-SEM), highlighting the relevance of these advanced analytical techniques. Data were collected from 422 IT company executives in Peru through a survey-based approach. Analyses were conducted using SmartPLS 4. Results show that EL significantly and positively influences PS and is also a necessary condition for achieving high PS levels, underlining its strategic role in project-based organizations. Moreover, BDA, TR, TIC, and TEP mediate this relationship, reinforcing EL’s effect on project outcomes. This study contributes to the literature by clarifying the mechanisms through which EL drives PS and emphasizing the importance of EL in IT-driven contexts. The integration of IPMA and NCA offers methodological innovation, enhancing the understanding of EL’s role in project performance and setting this research apart from previous studies.

Cogent Business & ManagementVol. 12(1)
Universidad de Lima (PE), Universidad de Navarra (ES)
Decent work and economic growth
Openalex Percentile: Top 74%
Big Data and Business Intelligence
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.