Incorporating machine learning (ML) components into software products raises new
software-engineering challenges and exacerbates existing ones. Many researchers have …

Haar Cascade is a cost-effective and user-friendly machine learning-based algorithm for
detecting objects in images and videos. Unlike Deep Learning algorithms, which typically …

The competitive intelligence (CI) construct must be scientifically defined, characterised,
empirically validated and accurately measured to grow in science and business. This study …

Purpose Information systems (IS) research in general and health IS studies, in particular, are
prone to a positivity bias–largely focusing on upside gains rather than the potential misuse …

As digital marketing evolves, virtual endorsers have become a key strategy for brands to
attract and connect with consumers. More and more brands are using both brand-owned …

Highlights• Advances knowledge in theoretically underdeveloped applications of AI.•
Empirically grounded evidence of the business value of AI.• New insights to issues related to …

World models is a construct that is used to represent internal models of the world. It is an
important construct for human-artificial intelligence systems, because both natural and …

Purpose Business analytics (BA) is a new frontier of technology development and has
enormous potential for value creation. Information systems research shows ample evidence …

The integration of machine learning (ML), functioning as the core of various artificial
intelligence (AI)-enabled systems in organizations, comes with the assertion that ML models …

Abstract The paper determines Machine Learning (ML) applications of both supervised and
unsupervised types in computerised accounting information systems (CAIS) to improve data …