How AI‐Enabled Drivers Inspire Sustainability‐Oriented Entrepreneurial Intentions: Unraveling the (In)congruent Effects of Perceived Desirability and Feasibility From the Entrepreneurial Event Model Perspective DOI
Cong Doanh Duong

Sustainable Development, Journal Year: 2025, Volume and Issue: unknown

Published: April 4, 2025

ABSTRACT This study aims to examine how generative artificial intelligence adoption and perceived capacities influence sustainability‐oriented entrepreneurial intentions through psychological mechanisms, including desirability feasibility. Despite growing research interest in entrepreneurship, the role of technological enablers, particularly intelligence, shaping has been underexplored. To achieve this objective, an advanced approach—polynomial regression with response surface analysis—was employed test formulated hypotheses using data from 385 participants. The further shows that improve significantly when feasibility are aligned but remain unaffected by misalignment. Generative shown directly indirectly enhance feasibility, highlighting dual as a practical enabler motivator. These findings contribute extent literature indicating technologies foster entrepreneurship. Moreover, these provide valuable insights for policymakers, educators, organizations demonstrating can be leveraged promote sustainable innovation By integrating into education policy frameworks, stakeholders better support development entrepreneurs advance global sustainability goals.

Language: Английский

Integrating artificial intelligence in unmanned vehicles: navigating uncertainties, risks, and the path forward for the fourth industrial revolution DOI Creative Commons
Md Altab Hossin,

Songtao Yin,

Rong Dan

et al.

Humanities and Social Sciences Communications, Journal Year: 2025, Volume and Issue: 12(1)

Published: March 4, 2025

Language: Английский

Citations

0

How AI‐Enabled Drivers Inspire Sustainability‐Oriented Entrepreneurial Intentions: Unraveling the (In)congruent Effects of Perceived Desirability and Feasibility From the Entrepreneurial Event Model Perspective DOI
Cong Doanh Duong

Sustainable Development, Journal Year: 2025, Volume and Issue: unknown

Published: April 4, 2025

ABSTRACT This study aims to examine how generative artificial intelligence adoption and perceived capacities influence sustainability‐oriented entrepreneurial intentions through psychological mechanisms, including desirability feasibility. Despite growing research interest in entrepreneurship, the role of technological enablers, particularly intelligence, shaping has been underexplored. To achieve this objective, an advanced approach—polynomial regression with response surface analysis—was employed test formulated hypotheses using data from 385 participants. The further shows that improve significantly when feasibility are aligned but remain unaffected by misalignment. Generative shown directly indirectly enhance feasibility, highlighting dual as a practical enabler motivator. These findings contribute extent literature indicating technologies foster entrepreneurship. Moreover, these provide valuable insights for policymakers, educators, organizations demonstrating can be leveraged promote sustainable innovation By integrating into education policy frameworks, stakeholders better support development entrepreneurs advance global sustainability goals.

Language: Английский

Citations

0