Title: In their words: classifying organisational reliability from employee speech

Authors: Steven Walczak; John J. Sullivan

Addresses: School of Information, University of South Florida, 4202 E. Fowler Avenue, CIS 1040, Tampa, FL 33620, USA; Florida Center for Cybersecurity, University of South Florida, 4202 E. Fowler Avenue, CIS 1040, Tampa, FL 33620, USA ' School of Information, University of South Florida, 4202 E. Fowler Avenue, CIS 1040, Tampa, FL 33620, USA

Abstract: The need for reliability is critical in certain organisations where technology failures lead to catastrophic loss of life or damage to the environment. Many other organisations 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 organisational 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 organisation. A heuristic text analytic classification method called STAR' is developed to predict an organisation's culture with respect to reliability based on employee interviews.

Keywords: high-reliability organisations; HRO; reliability; text mining; text analytics; classification; operational reliability; STAR'; high impact failure; efficiency.

DOI: 10.1504/IJBE.2017.084704

International Journal of Business Environment, 2017 Vol.9 No.1, pp.18 - 33

Received: 09 Dec 2016
Accepted: 14 Dec 2016

Published online: 21 Jun 2017 *

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