Abstract

The author teams in this Point-Counterpoint (PCP) put forward contrasting views regarding the benefits – or otherwise – of using commercially generated corporate ‘big data’ algorithms to inform scholarly research. In this editorial, I reflect on the lines of reasoning for, and against, whether such data offers a reliable means of building new theory. Are academics who refuse to mine and analyse corporately owned big data taking sensible steps to manage scholarly integrity? Or are they Luddites? I invite readers to consider these timely and provocative PCP articles and to consider the implications, for management studies, of the key arguments presented.