In Their Words: Classifying Organizational Reliability from Employee Speech
Document Type
Article
Publication Date
2017
Keywords
high-reliability organisations, HRO, reliability, text mining, text analytics, classification, operational reliability, STAR', high impact failure, efficiency
Digital Object Identifier (DOI)
https://doi.org/10.1504/IJBE.2017.10005656
Abstract
The need for reliability is critical in certain organizations where technology failures lead to catastrophic loss of life or damage to the environment. Many other organizations may also be reliability-seeking. Each business discipline has its own language and we propose that these business languages incorporate specific vocabulary that represents their organizational culture and business goals. The way employees speak about their jobs should reflect this business and business culture language. Examining the ways employees speak about their jobs may offer insights into the business culture and goals of an organization. A heuristic text analytic classification method called STAR’ is developed to predict an organization’s culture with respect to reliability based on employee interviews.
Was this content written or created while at USF?
Yes
Citation / Publisher Attribution
International Journal of Business Environment, v. 9, no. 1, p. 18-33
Scholar Commons Citation
Walczak, Steven and Sullivan, John J., "In Their Words: Classifying Organizational Reliability from Employee Speech" (2017). School of Information Faculty Publications. 338.
https://digitalcommons.usf.edu/si_facpub/338
