This study provides a systematic overview of innovation research strands revolving around
AI. By adopting a Systematic Quantitative Literature Review (SQLR) approach, we retrieved …

Purpose In this study, the authors examine artificial knowledge as a fundamental stream of
knowledge management for sustainable and resilient business models in supply chain …

Research on sustainable entrepreneurship increasingly recognizes the transformative
potential of digital technologies to mitigate and counteract grand environmental and social …

Abstract Technological Forecasting and Social Change (TFSC) is one of the most prominent
journals to focus on the methodologies and practices of technological forecasting and …

Based on an in-depth survey of the literature, the purpose of the paper is to explore data-
driven machine learning and neural network algorithms in the retailing environment. In this …

I draw on a substantial body of theoretical and empirical research on machine learning tools,
algorithms, and techniques in retail business operations. With increasing evidence of online …

The paper aims to explore the various directions that analogue platforms can be used for
environmental management. It is important that proper management is carried out to protect …

In this article, we cumulate previous research findings indicating that shopping by use of
artificial intelligence assistants can shape consumer behavior. We contribute to the literature …

This article reviews and advances existing literature concerning artificial intelligence
decision-making in shopping patterns. In this research, previous findings were cumulated …

This paper aims to review the current literature on entrepreneurial marketing and business
sustainability while explaining various scholars' views on the relationships between these …