Title: Sentiment analysis on organisational resilience

Authors: Tiffany Maldonado; Ray Qing Cao; Lila L. Carden

Addresses: Department of Management and Insurance and Risk Management, Marilyn Davies College of Business, University of Houston – Downtown, One Main Street, Houston, Texas 77002, USA ' Department of General Business, Marketing, and Supply Chain Management, Marilyn Davies College of Business, University of Houston – Downtown, One Main Street, Houston, Texas 77002, USA ' Department of Construction Management, College of Technology, University of Houston, 4730 Calhoun Road #300, Houston, TX 77204-4021, USA

Abstract: By applying a sentiment analysis, we examine how firms can achieve organisational resilience by focusing on two different operational strategies in their responses to adverse events: anticipatory responses or reactionary responses. We examined 210 firms and found that firms that focus on an anticipatory strategy of investing in corporate social responsibility benefited from increased organisational resilience. We also found that firms that focus on a reactionary focus of risk management practice in their daily operations also benefited from increased organisational resilience. Furthermore, our study revealed that firms that focus on the economic and environmental aspects of corporate social responsibility and the risk assessment process benefited from higher levels of organisational resilience.

Keywords: sentiment analysis; texting mining; big data; data analytics; organisational resilience; corporate social responsibility.

DOI: 10.1504/IJDS.2019.100330

International Journal of Data Science, 2019 Vol.4 No.2, pp.142 - 161

Received: 29 Apr 2018
Accepted: 10 Oct 2018
Published online: 26 Jun 2019 *

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