This study investigates which values of an employee-friendly (EF) corporate culture are the most important predictors of firm value and operating performance using a novel social media dataset of approximately 250,000 crowdsourced employee reviews of 18 different characteristics of a firm’s...

We examine the predictive value of board gender diversity on workplace diversity and the relative importance of various board and firm characteristics in predicting diversity. With a novel machine learning approach, we measure three workplace diversity variables using a social media data set of...

This paper explores the possibilities of machine learning (ML) methods in management accounting research and showcases one future avenue in practice by applying ML-based textual literature review to ML/AI research in accounting. The review reveals that machine learning methods in management...

The purpose of this paper is to develop and validate a text-based measure of innovation using textual analysis of 10-K filings. We hypothesize that the text-based innovation measure is associated with innovation outcomes and can be used to measure innovation for companies without patents and...