Artificial Intelligence (AI) is increasingly adopted by organizations to innovate, and this is
ever more reflected in scholarly work. To illustrate, assess and map research at the …

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

A vast literature supports the notion that green human resource management leads to
superior environmental performance. This study argues that green innovation …

Purpose This study aims to examine the role of big data analytics (BDA) powered by artificial
intelligence (AI) in improving sustainable performance (SP) through green supply chain …

Green innovation is an essential and burning topic for environmental and organizational
performance. Therefore, this research aims to examine the effect of green innovation on …

Using panel data from 37 countries from 1990 to 2019 and applying a quantile regression
approach with panel fixed effects, we investigate the impact of national Environmental …

The environmental pollution and degradation of natural resources issues are worsening with
every passing day and companies need to take immediate action to save the environment …

The use of big data has garnered increasing importance in academic research and
managerial practice thanks to the benefits it can produce in terms of innovation. However …

This study examines direct and indirect effects among stakeholder pressure, green dynamic
capabilities, green innovation, and performance of emerging market small and medium …

The importance of hotel environmental performance has been acknowledged by scholars.
However, the factors that drive hotel environmental performance have not been thoroughly …