Analysing the impact of cultural diversity on corporate performance by feeding half-million Glassdoor reviews through a "Latent Dirichlet Allocation topic modeling" machine learning algorithm: "the “bag of words” approach... inductively infers categories... a statistical model that looks for words that tend to co-occur."
Step 1: feed 1 million sentences containing "culture" or its synonyms: Asking "What words occurred around these words?... provided a reliable model of different cultural categories".
These were then used to analyse the complete reviews to determine what people within each company "say about its culture... do employees agree or disagree on what a firm’s culture is?", and compared that with its return on assets.
Findings:
More Stuff I Like
More Stuff tagged innovation , ai , management , machine learning , culture , diversity
See also: Digital Transformation , Change & Project Management , Innovation Strategy , Science&Technology , Business
MyHub.ai saves very few cookies onto your device: we need some to monitor site traffic using Google Analytics, while another protects you from a cross-site request forgeries. Nevertheless, you can disable the usage of cookies by changing the settings of your browser. By browsing our website without changing the browser settings, you grant us permission to store that information on your device. More details in our Privacy Policy.