Samsung and Volkswagen Crisis Communication
in Facebook and Twitter
A Comparative Study
Boyang Zhang
1,2
, Jari Veijalainen
1
and Denis Kotkov
1
1
Faculty of Information Technology, FI-40014 Unversity of Jyvaskyla, Jyvaskyla, Finland
2
Laboratory of Inductrial and Information Management, FI-33101 Tampere University of Technology, Tampere, Finland
Keywords: Crisis Communication Strategies, Volkswagen Emission Crisis, Samsung Galaxy Note 7 Crisis, Samsung
Washing Machine Crisis, Twitter, Facebook, Sentiment Analysis, SCCT.
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 communication 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.
1 INTRODUCTION
Since September 2015 at least two major crises have
emerged where major industrial companies
producing consumer products have been involved.
Volkswagen crisis became public on Sept. 18, 2015
when US Environment Protection Agency (EPA)
published its findings concerning cheating software
in certain VW diesel engines (for instance, of type
EA189) and required actions from Volkswagen
Group in the USA to rectify the situation. The
financial losses to Volkswagen due to the crisis have
been estimated to 18,2 bn euro and it will cut 30000
jobs (Times, 2016). It also withdraws from WRC
class (WRC, 2016) to cut costs, after it has won
world championships several times. The damages to
the reputation of the company have been substantial.
We have described the main events until June 2016
in (Zhang et al., 2016), where we also analysed the
crisis communication of the company in social
media around the issue.
Another somewhat similar crisis broke in
August-September 2016, when it turned out that the
new smartphone model Galaxy Note7 manufactured
by Samsung might catch fire or even explode
because of battery problems. This happened in a few
days and weeks after the model was introduced to
the market in the USA and elsewhere in August-
September 2016. In Oct. 2016, Samsung stopped
producing the troubled phone model and ran recall
programs in the markets where the phone had been
sold. Some estimates state that financial losses due
to the failed phone could be as high as 10 billion US
dollars (Mullen and Thompson, 2016). Damages to
the reputation of the company have been estimated
to be high as well.
312
Zhang, B., Veijalainen, J. and Kotkov, D.
Samsung and Volkswagen Crisis Communication in Facebook and Twitter - A Comparative Study.
DOI: 10.5220/0006301403120323
In Proceedings of the 13th International Conference on Web Information Systems and Technologies (WEBIST 2017), pages 312-323
ISBN: 978-989-758-246-2
Copyright © 2017 by SCITEPRESS Science and Technology Publications, Lda. All rights reserved
In the social media era, organizations encounter
several challenges from public relations and
societies. In the presence of social media, continuous
monitoring is necessary, as social media has a
significant influence on the reputation and even
survival of organizations. This research provides
insights on the crisis communication strategies of the
two companies, VW and Samsung, as observed in
Twitter and Facebook communications on the
accounts controlled by them and on other accounts
controlled by ordinary users, various media and
other stakeholders.
In this paper, we answer the following research
questions:
1. What were the crisis response strategies of VW
compared to Samsung?
1.1 What kind of compensation measures did the
companies perform?
1.2 How quickly did companies reply to their
customers’ messages online?
1.3. What crisis communication strategies did these
companies possibly use?
2. What kind of customer feedback did companies
want to conceal (in order to protect their reputation)?
How many messages have they removed from their
FB accounts?
2 THEORETICAL FRAMEWORK
The scholarly discussion on crisis communication
has paid considerable attention to focal
organizations. In general, response strategies are
built based on various crisis types. According to
Meng (1992) a trigger event related to performance
in public relations, for example caused by unethical
action, can function as a catalyst to activate a crisis.
CSR challenges are crises when expectations
created are not delivered by an organization and can
thus result in a reputational crisis (Friederike Schultz
and Stefan Wehmeier, 2010; Timothy Coombs and
Sherry Holladay, 2015). The concept of para-crisis,
a crisis primarily existing in web discussions,
illustrates new ways of crises to manifest themselves
fast, making lack of responsibility in organizational
behavior widely known among the public (Coombs
and Holladay, 2012).
The Situational Crisis Communication Theory
(SCCT) (Coombs, 2007) is utilized in the sequel
while seeking answers to the research questions.
In order to accommodate various crisis types,
Situational Crisis Communication Theory (SCCT)
was developed by Coombs (2007) as a mechanism
to guide the response strategies. Its components are
shown in Figure 1. As an evidence-based framework,
SCCT theory is supposed to provide specific
response strategies in various crisis situations.
Figure 1: Components of SCCT theory (Coombs, 2007).
Organizational reputation refers to the reputation of
the organisation among the stakeholders and its
maintenance during a crisis. According to (Coombs,
2007), three factors in the crisis situation shape the
threat to the reputation of the organization. These are
initial Crisis responsibility (attribution), Crisis
history, and Prior relational reputation. Crisis
responsibility concerns the question, to which extent
the focal organization can be deemed responsible for
the crisis and possible (lethal) injuries for the people,
losses of property, product failures, etc. Crisis
Response Strategies refer to the strategies of the
focal organization that it can apply during the crisis.
An important part are of this component are the
crisis communication strategies towards
stakeholders, including employees, customers,
authorities, traditional media and social media
audiences. Other means include e.g. financial
compensations for customers who have experienced
financial losses, injuries, etc. Providing
compensation in the case of product or services
failure indicates positive intentions of the focal
organization, whereas apology uttered towards
stakeholders show that the organization is taking
responsibility for its actions and failures.
Emotions refer to the emotions of stakeholders
raised by the crisis and Behavioural intentions refer
to the behaviour of stakeholders directly or
indirectly towards the focal organisation. The arrows
in Fig.1 describe causal and other relationships
between the components (see (Coombs, 2007) for
further information).
Samsung and Volkswagen Crisis Communication in Facebook and Twitter - A Comparative Study
313
An organisation can be involved in a crisis at
least in three major ways: it can be a victim (victim
cluster in (Coombs, 2007)); be involved in various
unintentional accidents (accidental cluster), and be
involved in events that could have been prevented
by the organisation (preventable cluster). A typical
instance of the first cluster is an earthquake or
terrorist attack that damages organization’s
infrastructure. Technical-error accidents are typical
instances of the unintentional accidents. In the last
cluster an organization knowingly placed people at
risk, took inappropriate actions or violated
law/regulation. Volkswagen case clearly belongs to
this cluster, whereas Samsung’s cases would belong
more to the accidental cluster.
A crisis evolves during a certain period of time.
(Dougall, 2008), in agreement with Meng (1992)
mentions five crisis stages: early; emerging; current;
crisis; dormant. Stages follow each other in time
with growing intensity until the crisis falls into a
dormant stage. Simultaneously, issues become less
controllable by the focal organizations. Social media
provides a fertile ground for the spread of issues.
The process can be regarded as an issue contagion
process (Coombs, 2002). Therefore, social media
can fast turn an issue from an early to crisis stage
with a simultaneous high media attention. From the
organizational perspective, before an issues reaches
a crisis stage, response strategies could be utilized to
prevent the further spread of an issue (Dougall,
2008). This activity can also be called preventing the
crisis. An example might be that the sales of a
product or service are halted. The strategies applied
before an issue turns into a crisis can prevent it from
reaching the full crisis stage and thus decrease
reputational and financial losses. Alternatively,
neglecting para-crisis could cause giant financial
losses and require longtime recovery.
3 CASE STUDY DESCRIPTIONS
In this section, we compare the two crises and crisis
(communication) strategies the companies used. To
answer our research questions, we provide analysis
of the content the companies and stakeholders
published in and removed from the social media, in
our case Twitter and Facebook platforms.
3.1 Case Description: Samsung Galaxy
Note7 and Washing Machine Crisis
The global sales of Samsung Galaxy Note7
smartphones started in August 2016. Soon after the
devices were taken into use by customers, there were
multiple reports that the phone had overheated,
caught fire, or even exploded in August-September
2016. The company admitted the problem on Sept.
2, 2016. Samsung first explained that the defect
batteries were the cause for this problem. The first
solution was to replace the batteries leading to a
recall of 2.6 million Note7 smartphones. The formal
recall announcement in the US was issued on Sept.
15, 2016. After the recall and battery replacement
the same problem still persisted. The company
decided to stop manufacturing and selling Note7 on
Oct. 11, 2016. The phone was made non-operational
on Dec. 19, 2016 (Wiggers, 2016) by a software
update. The recall crisis has exerted fluctuations in
the stock market. Samsung’s shares lost $18 bn
value in October 2016. The public begins to pay
attention to how Samsung resolves the quality
control problems and crisis responses. Table 1 below
contains the main phases of the Samsung Galaxy
Note7 crisis.
Another problem, this time with the Samsung
washing machines, also emerged during autumn
2016. On Nov. 4, 2016 the company announced a
recall of 2.8 million machines that vibrated strongly
and partially disintegrated. 34 washing machine
models have been affected (Stieg, 2016). On Nov. 7,
2016 Samsung published apologizes in major US
newspapers (Washington Post, the New York Times
and the Wall Street Journal) for the troubled Note7
and the malfunctioning washing machines (Herald,
2016). The apology was signed by Gregory Lee, the
president and CEO of Samsung Electronics North
America. In the text Samsung promises to find out
what went wrong with Note7 and the washing
machines and publish the findings. For Note7 the
findings were published in January 2017. The design
of the batteries and their fitting have evidently been
the source of the problem (Pierre, 2017), whereas
the phone design has otherwise been intact.
3.2 Case Description: Volkswagen
The Volkswagen emission scandal has been
followed in Zhang, Veijalainen and Kotkov (2016)
from Sept. 2015 to June 2016. In this context we
present results based on a continued data collection
from Twitter and Facebook and also present
sentiment analysis results. There is a detailed
chronology of events (in German) until the
beginning of Nov. 2016 at (NDR, 2016a). We leave
out the details for brevity.
Traditional media has played an important role in
both, but social media has also spread correct and
WEBIST 2017 - 13th International Conference on Web Information Systems and Technologies
314
not-so-correct information. In the sequel we will
mostly concentrate on the crisis communication
strategy of the companies at Twitter and Facebook.
Table 1: Samsung Galaxy Note7/Washing machine crises
story line.
Date
Issues
2 Aug
2016
The launch of Samsung Galaxy Note7 at a
media event in New York
19 Aug
The release of the Samsung Galaxy Note7 in 10
markets including U.S. and South Korea.
31 Aug
Shipment delayed by Samsung with quality
control problems.
1 Sep
Media reports reported Samsung was going to
launch the recall, and the starting of sales in
China.
9 Sep
Consumer Product Safety Commission of U.S
suggested to customers stop using Note7
15 Sep
Consumer Product Safety Commission of U.S.
officially publish the info about 1 million Note7
recall.
19 Sep
In Chinese market, Samsung announced that the
cause of the fire was external heating.
29 Sep
Samsung announced that over 1 million users
worldwide were using Note7 with safe battery.
1 Oct
The resuming of sales on new Note7s in South
Korea.
6 Oct
An U.S aeroplane was evacuated because of
smoke from Note7 on board.
10 Oct
Samsung adjusted the shipment of Note7 for
inspection.
11 Oct
Samsung permanently ended production and
sales of Note7 after it failed to fix the problems
on defective devices.
14 Oct
The department of transportation and Federal
Aviation Administration of U.S. officially
banned Note7 from all U.S. flights.
18 Oct
Samsung launched a roll out airport exchange
program to allow Galaxy Note7 owners to swap
their phones before a flight.
27 Oct
Samsung’s investigation states that it is
essentially a quality control problem.
29 Oct
Samsung held a media conference in China and
let the personnel kneel down to show the
gratitude.
4 Nov
Nearly 85% of the Note7 phone had been
replaced through the exchange program in U.S.
4 Nov.
Samsung announced a recall of 2.8 million
washing machines
7 Nov
Samsung published apologizes in major US
newspapers (Washington Post, the New York
Times and the Wall Street Journal) for the
troubled Note7 phone and the malfunctioning
washing machines
19 Dec.
Note7 phones will be inactivated
23 Jan.
2017
A report is released detailing reasons for Note7
problems
4 TWITTER AND FB DATA
COLLECTIONS AND
ANALYSIS
To answer research questions, we collected data
related to both crises from Twitter and Facebook.
We also applied sentiment analysis to the collected
data and analysed the obtained results. We also
studied traditional media analyses to answer the
research questions.
4.1 Twitter Data Collections and
Analysis for Samsung
From 15 September to 8 November 2016, there are
1081212 tweets collected which are related to
Samsung crises, the selection attribute for the
language is ‘en’, i.e. English. . Our data set
contained tweets also in other European and Asian
languages, but we decided to concentrate on the
English tweets. Based on the collection, sentiment
and topic analysis of the tweets is built with R-studio.
Figure 2: Sentiment analysis of collected tweets for
Samsung.
Another Twitter dataset was collected on Sept. 24,
2016 and on Nov. 11, 2016. The target accounts
where verified Twitter accounts controlled by
Samsung. These included @SamsungMobileUS,
@SamsungUS, @SamsungMobile, @SamsungUK,
@SamsungMobileME that tweet mostly or
exclusively in English, but there were also accounts
tweeting in other languages, like Korean. The
collection consisted of about 21000 tweets. The
oldest was sent on July 20, 2012 and the latest on
Nov. 10, 2016. About 12000 tweets were replies to
earlier tweets of customers. Among those 2617
0
20000
40000
60000
80000
100000
120000
negative neutral positive
Samsung and Volkswagen Crisis Communication in Facebook and Twitter - A Comparative Study
315
tweets were generated by a Samsung controlled
account above as a reply in English since Aug. 1,
2016. We could collect 1618 of the original tweets
Samsung had replied to between Aug.1, 2016 and
Nov. 10, 2016. This means that we could recover
only about 62% of the latter tweets sent to some
Samsung verified account. Those 1618 tweets with
both the tweet text and the reply to it by Samsung
along the timestamps and screennames are of
interest in this context.
The sentiment analysis reveals that majority of
all tweets from customers are positive during August
2016. If there are complaints, they mostly concern
the delays in delivery of Note7, or problems in some
other phone models. On Sept. 2, customers begin to
send more frequently tweets about global recall,
especially to SamsungMobileME (i.e. Samsung
Middle-East) and later to SamsungMobileUS etc.,
Samsung accounts begin to refer to the official
statement of Samsung at
https://news.samsung.com/global/statement-on-
galaxy-note7. The tone of the customers is mostly
questioning, “What should I do; when will a
replacement come? “etc. Starting Sept. 2, almost all
tweets concern Note7 recall issues for several weeks
during Sept. 2016. Some tweeters are impatient and
blame Samsung for bad service.
Looking closer, the first tweet concerning the
overheating of Note7 in our data set is from the user
linarhujer from 2016-08-26 20:29:53 and it reads:
'@SamsungUS @SamsungMobileME
@Samsung_Saudi what about the explosion of the
note7 when we charge it?
Please answer https://t.co/rtA96hXCXL'
2 days, 13 hours and 17 minutes later
SamsungMobileME replies:
'@linarhujer @SamsungUS @Samsung_Saudi Hello!
Please send us your contact information immediately.
We hope you are alright!'
Looking at the overall picture of the tweeting
behaviour of the company, the accounts below do
not directly help customers, but relay them to special
technical support or similar departments through a
direct message request. SamsungMobileUS has
replied to customers almost always in 24 hours,
average response time being about hours. Other
accounts have been slower, except SamsungMobile,
but the sample (6 tweets) is very small.
.
Table 2: Samsung reply activity in Twitter 1.8.-
10.11.2016.
Account of Samsung
Nr. of
tweet
pairs
Percentage
of replies in
24 hours
Avg.
resp.
time
SamsungMobileUS
980
98
5h26’
SamsungUS,
86
97
11h55’
SamsungMobile
6
100
0h18’
SamsungUK
410
39
1d20h
SamsungMobileME
136
65
1d9h
Concerning the streaming data set Figure 2, shows
that positive sentiments have prevailed every day.
There is no exception in this collection. As concerns
the sentiment of the customer tweets in Table 2, they
follow similar pattern; positive or neutral sentiment
is stronger than negative one.
When comparing the initial phases of the crisis
of VW in Sept. 2015 and Samsung in Sept. 2016,
Zhang et al. (2016), there were fewer tweets with a
positive sentiment in VW’s case. This raises the
question how response strategies are adapted to
different crisis situations.
In the context of Note7 recall in the U.S market,
Samsung has launched a compensation plan (http://
www.samsung.com/us/note7recall/) which contains
the refund and exchange program. Former Note7
users can choose between several options such as,
dollars bill credit under different conditions.
In the Chinese market, the recall plan was
different in comparison to US market (http://
www.samsung.com/cn/news/product-/galaxy-note-7
-recall-details). It offered less cash compensation,
blanked by the media announcement that the burning
cases were caused by external heating
(http://www.techtimes.com/articles/178492/2016092
0/samsung-note-7-explosions-caused-external-
heating-battery-china.htm). It had been interpreted
by local media as an irresponsible explanation.
Irresponsible behavior without effective measures of
the focal organization can turn an almost crisis into a
real crisis which causes financial and reputational
losses.
On Oct. 11, 2016, Samsung had ended the
production and sales of Note7 permanently after
failing to fix the problems that caused the
overheating and even fire or explosion of the
defective devices. The devices still in the hands of
customers were planned to become inactive and
useless on Dec. 19, 2016, after the last software
update.
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4.2 Twitter Data Collections and
Analysis for VW
There were three different data collections for VW
case. First, the tweets sent from VW controlled
(verified) Twitter accounts were collected as far as it
was possible on Nov. 15, 2015. We found 22
different accounts of this kind. We could collect
circa 18000 English tweets sent from these accounts
since Sept. 18, 2015. About 10400 of these were
replies to earlier tweets. We also collected these
earlier English tweets that were replied to by some
verified VW account during the above period. We
could not collect them all, but only about 6800
tweets, i.e. under 70 %. The rest were either
removed or protected so that they could not be
collected through the REST API of Twitter.
As concerns the replied-to tweets, a scan through
them reveals that the overwhelming majority
consists of complaints regarding bad service or bad
quality of the cars, or both. Roughly 50% of the
complaints are directed towards @VolkswagenIndia,
but also @VolkswagenSA gets similar complaints.
@UKVolkwagen gets more various questions. Only
a few tweets mention the emission scandal. The first
instance is a side remark in a tweet in Sept. 2015.
Later, during 2016 the recall arrangements are
mentioned more often. As an overview one can state
that English tweets sent towards verified accounts of
VW deal with technical or other problems of
individual customers with their cars and the services
offered by dealers and the sentiment is mostly
negative or at most neutral. This result was
established by scanning through the tweets manually
and reading their contents.
In addition, we collected streaming data since
June 23, 2016 with the Tweepy (www.tweepy.org)
predicate ['vw','VW', 'volkswagen', 'Volkswagen'
'scandal', 'reputation', 'dieselgate','vwgate',
'emission','fraud'] and later (since Nov. 17, 2016)
with ['vw','VW','volkswagen','audi', 'Audi',
'Volkswagen' 'scandal' 'reputation', 'dieselgate',
'vwgate' ,'emission']. The resulting raw data contains
90-95 % irrelevant data. The relevant data has been
selected by running a filter program after the tweets
have been parsed into database tables. This resulted
in about 360000 relevant tweets. These tweets can
be used to characterize the overall sentiment of a
wider public towards VW during the second half of
2016. This is, however, for further stydy.
We looked at the response times of VW in
Twitter. These tell about the attitude of the company
towards their customers concerns and are at the
same time an expression of the communication
strategy. There were 9627 English customer tweets
with a response from @VW (2321), UKVolkswagen
(2579), @volkswagenindia (2090), VWMiddleEast
(105), Volkswagen_NZ (11), VWcanada (288),
Volkswagen_MX (23), VolkswagenNL(15),
vwbelgique(5), VolkswagenSA (2053),
vw_france(5). The oldest reply was sent at 2015-08-
10 11:02:04 and newest at 2016-11-15 12:17:43.
Table 3 shows the response times to the
customer tweets by various accounts of VW. Over
50 per cent of the tweets are replied in 24 hours or
less, but the tail is rather long rendering average
response time of a month in most cases.
Table 3: Volkswagen’s reply activity in Twitter
10.8.2015-15.11.2016 (major English accounts).
Account
Percentage
of replies
in 24 hours
Avg.
resp.
time
VW
58
36 d
UKVolkswagen
80
29 d
volkswagenindia
71
25 d
VolkswagenSA
56
108 d
VWcanada
56
29 d
VWMiddleEast
53
54 d
4.3 Facebook Data Collections and
Analysis
To answer research questions 1 and 2, we collected
posts, comments and replies from Facebook groups
dedicated to Samsung (SamsungMobileUSA, https://
www.facebook.com/SamsungMobileUSA) and
Volkswagen (Volkswagen, https://
www.facebook.com/VW/?brand_redir=DISABLE).
We collected data twice to detect posts, comments
and replies that had been removed from the
mentioned pages.
4.3.1 Samsung FB Data Description
Samsung owns several Facebook pages, such as
Samsung Support, Samsung Mobile and Samsung
US. We chose SamsungMobileUSA, as the page is
related to Note7 and users are very active on this
page compared to other pages. Table 4 summarizes
characteristics of two datasets regarding Samsung.
We finished our first data collection from the
Samsung page on September 23, 2016. This data
collection included posts, comments and replies
published from August 8 till September 22, 2016.
Our second data collection finished on November 2,
2016 and included content posted from August 8 till
October 31, 2016.
Samsung and Volkswagen Crisis Communication in Facebook and Twitter - A Comparative Study
317
Table 4: Samsung FB data collection summary.
Date of
data col-
lection
Nr. of
posts
Nr. of
com-
ments
Nr, of
replies
Nr. of
Samsung
replies
23.9.16
113
81614
37430
1448
02.11.16
25
45299
18931
983
Figure 3: Comments and replies on SamsungMobileUSA
Facebook page.
Figure 4: Replies of Samsung on SamsungMobileUSA
Facebook page.
Figures 3 and 4 demonstrate the numbers of
comments and replies posted at different dates at
SamsungMobileUSA Facebook page (the first data
collection). Replies in Figure 3 include customer
replies and Samsung replies, while replies in Figure
4 include only replies of the company. The first
peaks (around August 2) on both charts corresponds
the release of Note7, the consecutive peaks are
caused by discussions and complaints related to the
Note7 battery problem. The number of replies from
the company changes proportionally, but it is much
lower than the number of replies of the customers;
the more comments and replies overall the more
Samsung replies.
4.3.2 Volkswagen Data Description
Table 5 summarizes characteristics of two datasets
regarding VW. Our first data collection finished on
April 13, 2016 and included content published from
September 17, 2015 till April 12, 2016, while our
second collection finished on November 23, 2016
and included content published from September 17,
2015 till September 24, 2016.
Table 5: VW data collection summary.
Date of
the col-
lection
Nr. of
VW
posts
Nr. of
cust. com-
ments
Nr. of
cust.
replies
Nr. of
VW
replies
13.04.16
40
17357
9552
103
23.11.16
39
16723
8488
145
Figure 5: Comments and replies on VW Facebook page.
Figure 6: Comments and replies on VW Facebook page.
Similarly to the Samsung case, Figures 5 and 6
demonstrate numbers of comments and replies
posted at different dates in VW Facebook page (the
first data collection). The number of replies at each
date is proportional to the number of comments at
that date. However, the relative number of VW
0
2000
4000
6000
8000
02-08-2016
05-08-2016
08-08-2016
11-08-2016
14-08-2016
17-08-2016
20-08-2016
23-08-2016
26-08-2016
29-08-2016
01-09-2016
04-09-2016
07-09-2016
10-09-2016
13-09-2016
16-09-2016
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Comments Replies
0
100
200
300
400
02-08-…
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Samsung Replies
0
1000
2000
3000
4000
5000
17-09-2015
01-10-2015
15-10-2015
29-10-2015
12-11-2015
26-11-2015
10-12-2015
24-12-2015
07-01-2016
21-01-2016
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31-03-2016
Comments Replies
0
2
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8
10
17-09-2015
01-10-2015
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29-10-2015
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VW Replies
WEBIST 2017 - 13th International Conference on Web Information Systems and Technologies
318
replies is much lower than that of Samsung. Among
all the collected replies on the VW page 1% (the
absolute value is 103) of replies belong to VW,
while for Samsung this value is 3% (the absolute
value is 1448).
4.3.3 Facebook Response Time Analysis
To answer research question 1.2, we investigated
how quickly companies responded to customers on
Facebook.
Figure 7: Response time distribution on Samsung
Facebook page.
Figure 7 demonstrates the distribution of delays
between customers’ comments and Samsung replies
to them (the second data collection). The distribution
has the following characteristics: mean=5.46 hours,
standard deviation=10.65 hours and median=1.63
hours. Most comments (544) are replied faster than
in 3.7 hours. The quickest reply was published in 22
seconds after the comment, while for the longest
reply this value is 5 days. This shows that Facebook
is considered as a more important channel towards
stakeholders than Twitter, where the responses take
longer to generate.
Figure 8: Response time distribution on VW Facebook
page.
Figure 8 demonstrates the distribution of delays
between customers’ comments and VW replies to
them (the second data collection). The distribution
has the following characteristics: mean=23.57 hours,
standard deviation=21.81 hours and median=27.0
hours. Most comments (55) are replied earlier than
in 27 days. The quickest reply was published in 2.7
hours after the comment, while for the longest reply
this value is 128 days.
The analysis of both distributions suggest that
VW seems to reply to customers’ comments slower
than Samsung due to the minimum, maximum
response times and response time form most
comments, considering that data collection in each
case was conducted in different periods of time after
the crisis. Our second data collection regarding
Samsung was conducted in two months after
Samsung recall, while for the VW this time is 1 year
and 1 month.
4.3.4 Facebook Removed Content Analysis
To answer research question 2, we conducted two
data collections for each company. We then
compared the collected content and detected
removed posts, comments and replies.
Table 6: Removed content.
Company
Nr. of
company
posts
Nr. of cust.
com-ments
Nr. of
cust.
replies
Nr. of
company
replies
Samsung
22 (19%)
52148
(64%)
8243
(22%)
773
(54%)
VW
14 (35%)
2486
(14%)
2008
(23%)
12 (8%)
Table 6 summarizes numbers of removed posts,
comments and replies on Facebook pages of each
company. Posts can only be removed by the owner
of the Facebook page, while comments and replies
of customers could be removed by the owner of the
page or by the author of the content. All posts
removed by Samsung were about Note7, while some
posts removed by VW were related to special offers.
The preliminary analysis of the removed contents
indicates that there were some very negative
comments. Why the companies removed certain
posts and comments and replies is not clear. Perhaps
they have come to the conclusion that removing
them is better for their reputation?
4.3.5 Facebook and Twitter Topic Analysis
Table 7 contains the text modeling results from
0
100
200
300
400
1
13
26
38
50
63
75
87
99
112
Number of replies
Response time in hours
0
5
10
15
20
31
340
648
957
1266
1574
1883
2192
2500
2809
Number of replies
Response time in hours
Samsung and Volkswagen Crisis Communication in Facebook and Twitter - A Comparative Study
319
Facebook and Twitter collection. R-studio was used
to perform the text mining. Reply messages from
SamsungMobilUS were tested and extracted into
topics. The techniques are the same that were used
for the sentiment analysis.
Table 7: The most frequent topics.
No
.
Topic 1
Samsung
Topic 2
Samsung
Topic 1
VW
Topic 2
VW
1
Thanks
samsung
pretty
can
2
Galaxynot
galaxynote
check
volkswage
n
3
Smsngusnere
cal
support
point
please
4
Reach
exchange
danisordo
contact
5
Available
please
meeting
details
6
Can
check
warranty
will
7
Get
info
match
wrc
8
New
help
certainly
car
9
Like
hey
half
share
10
satefy
Can
crankandpi
ston
new
Topic Samsung represents the replies of
SamsungMobileUS to users’ comments. Topic VW
represents several accounts that VW group has used
to reply to users. Because the word “galaxynot*” has
appeared both in topic 1 and 2 in the Samsung
stream collection, we assume that Samsung’s
response strategies were focused on the recall of
GalaxyNote7, whereas in the VW group, no specific
car series appears.
5 THE ABOVE CRISES IN THE
LIGHT OF SCCT
What is common to the crises, what different? First,
let us look at the responsibility aspects, i.e
attribution issues. Both companies can be blamed for
the faulty consumer products, so it is clear which
entity to blame for the problems. Volkswagen case
clearly belongs to the Preventable cluster, but
Samsung case belongs more clearly to the
Accidental cluster, although there are features that
would allow it to be classified also to the
Preventable cluster. With a more rigorous quality
control the problems with the shortcut batteries
could have been avoided or detected early enough.
One essential difference is that in the VW case
there was not an immediate safety hazard for the
drivers or owners, but rather, the emissions caused
an environmental hazard and indirectly possible
health problems for a wider population. The
products violated environment norms set in force by
the local authorities. In Samsung’ case, the
overheating, even exploding, phones posed a direct
health threat for the users and an indirect threat for,
for instance, fellow passengers on any flight with an
owner of a Note7. They also violated consumer
safety norms. The major difference is that VW has
deliberately designed and implemented the cheating
software into the car engines; it is not a mistake
some designers or production plants have made. In
Samsung’ case the company first blamed the battery
manufacturer for the overheating and explosions, but
it rather seems that there is a flaw in the phone
design (Mullen and Thompson, 2016). This is
certainly not a deliberate design flaw, but rather a
mistake and points to a flawed quality control inside
the company.
Whereas Samsung has admitted their failure to
meet high quality standards and apologized for the
troubles this has caused for the stakeholders,
especially for the consumers using the products,
Volkswagen’s strategy has been to deny the
problems as long as possible. As discussed in
(Zhang et al., 2016), the NOx emission cheating was
denied by the company almost a year, before the US
environment authorities made it public in Sept. 2015
and the company had to publicly admit the existence
of the cheating software and apologize for the harm
caused to the stakeholders. Later it has been
admitted by persons involved that the cheating
software development was started already in 2006
(NDR, 2016b). The resigned CEO of VW, Martin
Winterkorn, knew about the software evidently since
May 2014 (NDR, 2016b). Since spring 2016 there
have been reports that in some Audi gasoline and
diesel engines there is further cheating software;
some Audi models appear to have allowed the cars
to cheat in carbon-dioxide emissions when tested.
They press the real CO2 values lower in testing
situations, while they are much higher when the car
is in real operation on the road. The cheating
software was found in an Audi car during summer
2016 by California Air Resources Board (CARB).
The issue was published by CARB according
Washington Post (Smith, 2016) relying on Bild am
Sonntag report (in German) from Nov. 4, 2016. So it
seems that the overall strategy of VW is to admit
cheating only if caught. From the chronological
record of events in (NDR, 2016a), it is evident that
the highest management knew about the cheating
software for NOx at the end of August 2015, but
most probably much earlier.
The Samsung case shows similar but also
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different traits. They have claimed in China that the
problem with overheating comes from external
sources. They also launched Note7 in China, while
the recall was announced already in the US and
European markets. On the other hand, the defects of
the Note7 were evident for the consumers, while the
cheating software in VW and Audi cars was not at
all evident for ordinary car owners. Revealing its
existence required sophisticated emission test series.
In both cases various authorities have stepped in and
have played an important role in the development of
the crisis. In the VW case the US environment
protection authorities used their power. In Samsung
case the aviation safety authorities and airlines
prohibited to carry Note7 on board.
Both companies have suffered considerable
financial losses; Samsung perhaps 10 bn dollars,
VW 18 bn dollars. The duration of the crises might
be different. VW crisis still continues after 18
months, whereas Samsung crises might be over in 18
months. The financial losses will still have effect on
the companies for years. How long it takes for the
reputation to recover among consumers remains to
be seen.
6 CONCLUSIONS
The goal of this research is to analyse the crisis
strategies, especially communication strategies of
VW and Samsung during recent crises. The emission
fraud or cheating crisis of VW started on Sept. 18,
2015, when the US environment authorities made
public the existence of cheating software in certain
VW car engines that detected the test situation and
set the NOx emissions down to an accepted level.
The authorities had been in contact with the car
maker already since 2014, but the company had
mainly tried to deny that there is a general problem
and the issue was kept secret. Later in 2016 it has
admitted that the design of the cheating software had
begun already in 2006. During autumn 2015 further
car engines were found by US authorities to have the
same software installed as those first tested. During
the summer 2016 further software was detected by
US authorities that functioned in a similar way as the
earlier software. Thus, the crisis of VW has had new
sub-issues emerging from time to time and
corresponding peaks in the number of media reports
and social media messages. The crisis has cost VW
over 18 billion euro and losses in reputation. The
former is caused by fines the company has to pay to
the US government and other bodies, recall and
reparation costs of the vehicles, customer packages
and lost market share. VW shares have also lost
value on the stock markets which has made the share
owners angry against the management.
Looking at organizational tweets and replies we
attempted to explain what crisis communication
strategies were used in various situations. Issues
could turn into crises when activators occur, which
could be social media discourse, electronic word of
mouth, or other triggers. Before turning into a real
crisis, effective measures need to be taken to defend
and protect the reputation of the focal organization.
Otherwise, crises can exert an extremely negative
impact on organizations, which may cause financial
and reputational losses. In order to prevent the crises
to emerge, organizations should not underestimate
the power of online communications. Paying enough
attention to early stages of a crisis can safeguard the
functioning of a focal organization which requires
continuous monitoring of public opinions expressed
in social media.
In both these cases the crisis broke because of
deficiencies in the products and social and
traditional media spreading the information about
faulty products. Social media also seemed to follow
and spread the information.
Our hypothesis was that VW followed the crisis
communication strategy that nothing is admitted
before one is caught. In this case only authorities
could reveal the emission cheating. Thus, it is not to
be expected that the company would deny it towards
car owners or other stakeholders while interacting
with them at social media sites. They can only try to
comfort, repair and compensate in monetary terms
the damages for the stakeholders. VW has paid
compensations only to the US WV diesel car
owners, but not for other owners
Long response times to tweets or emails seem to
be a major issue in India, in addition to poor service
quality. These kinds of things are a problem for any
company and tend to cause customers to change to
another product.
In Samsung’s case the company admitted fast
that Note7 devices might be faulty. On the other
hand this was evident and it would not be viable to
try to deny the fact. At the same time also some
washing machine models had issues. The company
published in leading US newspapers an apology on
Nov. 7, 2016. VW also published a video on Sept.
22, 2015, where the CEO apologized for the
wrongdoing, but as far as we know, VW did not
publish apologies in newspapers.
Both companies have removed some posts from
their Facebook pages. Some comments and replies
were also removed. However, Facebook does not
Samsung and Volkswagen Crisis Communication in Facebook and Twitter - A Comparative Study
321
provide information on who removed these
comments and replies. All removed Samsung posts
were about Note7, while VW removed some posts
unrelated to their cars. These related to special
offers. Among removed comments and replies we
found some positive and negative messages. It
seems that the companies did not delete tweets from
their accounts, but our collection frequency was too
coarse in order to give a firm answer; a tweet might
have appeared and disappeared between collections
In both cases we could find positive, but also rather
negative tweet content towards the focal
organisation. On the other hand, the organisations
cannot remove the tweets sent by customers, only
the tweets they themselves sent, so this is
understandable.
The most severe issue for the companies are the
financial losses caused by the crisis. The cost for
VW will be perhaps 18 billion euros and for
Samsung 10 billion euros. VW withdraw from the
WRC class for the year 2017 and lay off 30000
people from its workforce. Perhaps the main positive
result is that VW promised to develop electric cars
and bring them to the market during the next 5-10
years. As far as we could observe, Samsung has not
announced a radically new direction in its consumer
product strategy.
In the future we would look more closely at the
possible relationship of the communication style,
and communication frequency of the companies at
various social media platforms towards the
stakeholders and the simultaneous financial
performance of the companies over time. Perhaps
there is positive or negative correlation. We could
find a small percentage of tweets sent to Samsung
where the customer wrote that he or she will not buy
anymore Samsung phones or any products. The
same is true for VW. Could this information be used
to predict the future sales in some product
categories? Another aspect is a more thorough
sentiment analysis and the relationship between the
social media user sentiment and financial
performance of the company.
ACKNOWLEDGEMENTS
Authors were supported in part by the Academy of
Finland, grant #268078 (MineSocMed).
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