Integrating multimodal data and machine learning for entrepreneurship research
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley +1 more source
Mapping the conceptual structure of research on open innovation in university-industry collaborations: a bibliometric analysis. [PDF]
Ballesteros-Ballesteros VA +1 more
europepmc +1 more source
Beyond net effects: why fuzzy-set qualitative comparative analysis is the future for modeling social media artrepreneurial success. [PDF]
Susan Mathew M, George A.
europepmc +1 more source
The role of locus of control in shaping graduates' entrepreneurial intentions: the mediating role of self-efficacy. [PDF]
Gebresilase BM +5 more
europepmc +1 more source
Entrepreneurial intention of students: The role of digital tools and personal factors in entrepreneurship education. [PDF]
Spilbergs A, Mavlutova I, Lesinskis K.
europepmc +1 more source
Innovation of entrepreneurship education in auxiliary instruction system for college aesthetic course teaching under BPNN model. [PDF]
Xia J.
europepmc +1 more source
An Empirical Investigation of Entrepreneurial Marketing and the Role of Entrepreneurial Orientation
Pitsamorn Kilenthong
openalex

