Authors:
Boyang Zhang
1
;
Jari Veijalainen
2
and
Denis Kotkov
3
Affiliations:
1
University of Jyvaskyla and Tampere University of Technology, Finland
;
2
University of Jyväskylä, Finland
;
3
University of Jyvaskyla, Finland
Keyword(s):
Crisis Communication Strategies, Volkswagen Emission Crisis, Samsung Galaxy Note 7 Crisis, Samsung Washing Machine Crisis, Twitter, Facebook, Sentiment Analysis, SCCT.
Related
Ontology
Subjects/Areas/Topics:
Social Media Analytics
;
Society, e-Business and e-Government
;
Web Information Systems and Technologies
Abstract:
Since September 2015 at least two major crises have emerged where major industrial companies producing consumer products have been involved. In September 2015 diesel cars manufactured by Volkswagen turned out to be equipped with cheating software that caused NO2 and other emission values to be reduced to acceptable levels while tested from the real, unacceptable values in normal use. In August 2016 reports began to appear that the battery of a new smart phone produced by Samsung, Galaxy Note7, could begin to burn, or even explode, while the device was on. In Nov. 2016 also 34 washing machine models were reported to have caused damages due to disintegration. In all cases, the companies have experienced substantial financial losses, their shares have lost value, and their reputation has suffered among consumers and other stakeholders. In this paper, we study the commonalities and differences in the crisis management strategies of the companies, mostly concentrating on the crisis commun
ication aspects. We draw on Situational Crisis Communication Theory (SCCT). The communication behaviour of the companies and various stakeholders during crisis is performed by investigating the official web sites of the companies and communication in Twitter and Facebook on their own accounts. We also collected streaming data from Twitter where Samsung and the troubled smart phone or washing machines were mentioned. For VW we also collected streaming data where the emission scandal or its ramifications were mentioned and performed several analyses, including sentiment analysis.
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