... to the terms of the CC BY 4.0 licence . Artificial intelligence Digital transformation Eco-innovation Enterprise size European Union Regression analysis Cluster analysis M10 M20 O30 O33 Vedecká Grantová Agentúra MŠVVaŠSR a SAV No. 1/0554/24 http://dx.doi.org/10.13039...

...Muhammad Arshad; Subhan Shahid; Sadia Afzal; Antonin Ricard Purpose This cross-disciplinary study bridges artificial intelligence (AI) and entrepreneurship domains by introducing a mediated moderation model to explore underlying cognitive processes. Leveraging social cognitive theory, the study...

...Heiko Bergmann; Timothé Crelier; Jacob Mayr Purpose While artificial intelligence ( AI ) is a hot topic in public debate and academic discourse, most research is still conceptual with only a few insights into how AI is used in entrepreneurship practice. This study explores empirically how...

...Dave Valliere Purpose A hybrid approach to human–artificial intelligence ( AI) collaboration that is suitable for qualitative research in entrepreneurship is proposed and demonstrated. A two-phase method is presented for analyzing and interpreting qualitative textual data such as may be obtained...

... dimensions, their predictive capacity, and the more complex non-linear relationships. To address the limitations of traditional regression methods in tackling these gaps, we utilize explainable artificial intelligence techniques to examine the dominance and nonlinearity of institutional dimensions...

...Tim P. Joussen; Julia Quiel; Julia Schwaeke; Dominik K. Kanbach; Sascha Kraus Purpose This study investigates how corporate entrepreneurs utilize artificial intelligence (AI) to make decisions under different types of uncertainty, examining AI’s role in facilitating transparency and supporting...

... artificial intelligence support. OR capability was assessed by expert evaluation of identified opportunities. Findings LLMs significantly enhanced OR capability, with greater benefits observed among participants with initially lower OR capabilities. However, proficiency in LLM utilization showed...

...Ignat Kulkov; Julia Kulkova; Daniele Leone; René Rohrbeck; Loick Menvielle Purpose The purpose of this study is to examine the role of artificial intelligence (AI) in transforming the healthcare sector, with a focus on how AI contributes to entrepreneurship and value creation. This study also aims...

...Francesco Schiavone; Maria Cristina Pietronudo; Annamaria Sabetta; Fabian Bernhard Purpose The paper faces artificial intelligence issues in the venture creation process, exploring how artificial intelligence solutions intervene and forge the venture creation process. Drawing on the most recent...

... in the family business by developing a novel theoretical adoption intention model, family business artificial intelligence (FBAI), explaining the adoption intention of AI in the family business. We consider two important theoretical perspectives: digital entrepreneurship and entrepreneurial orientation...

...Santo Raneri; Fabian Lecron; Julie Hermans; François Fouss Purpose Artificial intelligence (AI) has started to receive attention in the field of digital entrepreneurship. However, few studies propose AI-based models aimed at assisting entrepreneurs in their day-to-day operations. In addition...

...Guglielmo Giuggioli; Massimiliano Matteo Pellegrini Purpose While the disruptive potential of artificial intelligence (AI) has been receiving growing consensus with regards to its positive influence on entrepreneurship, there is a clear lack of systematization in academic literature pertaining...

...Ignat Kulkov Purpose Value creation based on artificial intelligence (AI) can significantly change global healthcare. Diagnostics, therapy and drug discovery start-ups are some key forces behind this change. This article aims to study the process of start-ups' value creation within healthcare...

... entrepreneurship. Further, a model, artificial intelligence acceptance and digital entrepreneurship (AIADE) is theorized after formulating some hypotheses. The theorized model has been validated with 476 useable responses. The findings revealed that performance expectancy, openness, social influence...