Artificial intelligence as an enabler for entrepreneurs: a systematic literature review and an agenda for future research

G Giuggioli, MM Pellegrini - International Journal of Entrepreneurial …, 2023 - emerald.com
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 …

Managerial overreliance on AI-augmented decision-making processes: How the use of AI-based advisory systems shapes choice behavior in R&D investment …

C Keding, P Meissner - Technological Forecasting and Social Change, 2021 - Elsevier
AI-augmented decision-making processes promise to transform strategic decisions around
innovation management. However, despite a growing body of research on algorithmic …

Applying social cognitive theory to placement learning in business firms and students' entrepreneurial intentions

HE Nwosu, PC Obidike, JN Ugwu, CC Udeze… - … International Journal of …, 2022 - Elsevier
Building upon the social cognitive theory, this study examines the environmental and person
factors that influence students' entrepreneurial intentions. Also, it examines the mediating …

An entrepreneurial intention model focussing on higher education

S Tomy, E Pardede - … journal of entrepreneurial behavior & research, 2020 - emerald.com
Purpose Start-up intention among university students is related to the image of
entrepreneurship as a career alternative. University is critical in developing the levels of …

Critical success factors of a design startup business

B Kim, H Kim, Y Jeon - Sustainability, 2018 - mdpi.com
Recent trends of new venture startups have paved the way for the expansion of the design
industry and opened new windows of opportunity for the traditionally small and non …

[HTML][HTML] A machine learning, bias-free approach for predicting business success using Crunchbase data

K Żbikowski, P Antosiuk - Information Processing & Management, 2021 - Elsevier
Predicting the success of a business venture has always been a struggle for both
practitioners and researchers. However, thanks to companies that aggregate data about …

Factors responsible for the success of a start-up: A meta-analytic approach

AK Pasayat, B Bhowmick, R Roy - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article aims to determine factors crucial for the performance of new ventures by
performing a meta-analysis. It evaluates the performance of machine learning and statistical …

How to succeed in the market? predicting startup success using a machine learning approach

J Kim, H Kim, Y Geum - Technological Forecasting and Social Change, 2023 - Elsevier
Predicting startup success is a critical task for startup entrepreneurs and investors. Previous
studies focused only on the internal conditions of startups and did not extensively consider …

Leveraging deep learning and big data to enhance computing curriculum for industry-relevant skills: A Norwegian case study

MU Hassan, S Alaliyat, R Sarwar, R Nawaz… - Heliyon, 2023 - cell.com
Computer science graduates face a massive gap between industry-relevant skills and those
learned at school. Industry practitioners often counter a huge challenge when moving from …

[HTML][HTML] Hacking the venture industry: An Early-stage Startups Investment framework for data-driven investors

F Corea, G Bertinetti, EM Cervellati - Machine Learning with Applications, 2021 - Elsevier
Investing in early-stage companies is incredibly hard, especially when no data are available
to support the decision process. Venture capitalists often rely on gut feeling or heuristics to …