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 …

“Hasta la vista, baby”–will machine learning terminate human literature reviews in entrepreneurship?

S Robledo, AM Grisales Aguirre… - Journal of Small …, 2023 - Taylor & Francis
Can, and should, artificial intelligence (AI) and its machine learning (ML) variant be applied
to study scholarly literature? With AI and ML rapidly disrupting industries, we investigate how …

Building supply-chain resilience: an artificial intelligence-based technique and decision-making framework

A Belhadi, S Kamble, S Fosso Wamba… - International Journal of …, 2022 - Taylor & Francis
Artificial Intelligence (AI) offers a promising solution for building and promoting more resilient
supply chains. However, the literature is highly dispersed regarding the application of AI in …

Mapping green innovation with machine learning: Evidence from China

F Liu, R Wang, M Fang - Technological Forecasting and Social Change, 2024 - Elsevier
Achieving green innovation to eliminate the environmental impact of economic activities has
been an important task for firms across industries. This study uses the resource-based view …

Blockchain propels tourism industry—an attempt to explore topics and information in smart tourism management through text mining and machine learning

V Puri, S Mondal, S Das, VG Vrana - Informatics, 2023 - mdpi.com
Blockchain and immersive technology are the pioneers in bringing digitalization to tourism,
and researchers worldwide are exploring many facets of these techniques. This paper …

Exploring the resources, competencies, and capabilities needed for successful machine learning projects in digital marketing

M Blomster, T Koivumäki - Information systems and e-business …, 2022 - Springer
This study aimed to explore the organizational resources, competencies, and capabilities
needed for the successful implementation of machine learning development projects for …

Structural review of relics tourism by text mining and machine learning

S Das, S Mondal, V Puri, V Vrana - Journal of Tourism, Heritage & …, 2022 - papers.ssrn.com
Purpose: The objective of the paper is to find trends of research in relic tourism-related
topics. Specifically, this paper uncovers all published studies having latent issues with the …

Lean manufacturing soft sensors for automotive industries

R Sekhar, N Solke, P Shah - Applied System Innovation, 2023 - mdpi.com
Lean and flexible manufacturing is a matter of necessity for the automotive industries today.
Rising consumer expectations, higher raw material and processing costs, and dynamic …

Machine learning-based predictive modeling and control of lean manufacturing in automotive parts manufacturing industry

NS Solke, P Shah, R Sekhar, TP Singh - Global Journal of Flexible …, 2022 - Springer
The auto industry is critically dependent on lean and flexible manufacturing systems to
sustain in today's dynamic and price sensitive markets. In the current work, a machine …

Herding behavior in supplier innovation crowdfunding: Evidence from Kickstarter

X Tian, Y Song, C Luo, X Zhou, B Lev - International Journal of Production …, 2021 - Elsevier
Despite a growing body of research that has investigated the impacts of social effect on the
amount pledged in crowdfunding, some questions remain unclear. How does herding …