Biomedical Engineering Reference
In-Depth Information
Table 16.1 Utilization of social media platforms by top 20 pharmaceutical companies
Physician
or patient
community
Revenue
(million)
Facebook
page
Rank Company
Blog
Youtube
Twitter
Top 20 pharmaceutical companies based on 2010 revenues
1
Pfizer
$58,523
Ye s
Ye s
Ye s
Ye s
No
2
Novartis
$44,420
No
Ye s
Ye s
Ye s
Ye s
3
Merck & Co.
$39,811
No
Ye s
Ye s
Ye s
Ye s
4
Sanofi
$37,403
No
Ye s
Ye s
Ye s
No
5 GlaxoSmithKline
$36,156
Ye s
Ye s
Ye s
Ye s
No
6 AstraZeneca
$32,515
Ye s
Ye s
Ye s
Ye s
Ye s
7 Johnson & Johnson $22,396
Ye s
Ye s
Ye s
Ye s
Ye s
8 Eli Lilly & Co.
$21,685
Ye s
Ye s
Ye s
Ye s
No
9 Abbott Laboratories $19,894
No
Ye s
Ye s
Ye s
No
10
Bristol-Myers Squibb
$19,484
Ye s
No
Ye s
Ye s
Ye s
11
Teva
$16,121
No
Ye s
Ye s
Ye s
Ye s
12
Takeda Pharma
$14,829
No
No
Ye s
No
No
13
Bayer Schering
$14,485
No
Ye s
Ye s
Ye s
Ye s
14
Boehringer-Ingelheim
$12,883
No
Ye s
Ye s
Ye s
No
15
Astellas
$11,161
No
Ye s
Ye s
Ye s
No
16 Daiichi-Sankyo
$10,794
No
No
Ye s
Ye s
No
17
EISAI
$8,542
No
No
Ye s
Ye s
No
18
Otsuka Pharmaceutical
$8,440
No
No
Ye s
No
No
19
Gilead Sciences
$7,390
No
No
Ye s
Ye s
Ye s
20
Mylan
$5,404
No
No
Ye s
No
No
Source : Revenue figures are from ContractPharma.com
firm sales in offline settings (Arndt 1967 ; Coleman et al. 1966 ). WOM is impactful
because consumers are more likely to trust information from their peers than from
advertising. The more similar the sender and the receiver are to each other, the more
persuasive WOM is (Kruglansk and Mayseless 1990 ).
With the rise of social networks and social media, researchers have shifted the
context of study for WOM from offline settings to online settings where WOM
operates through social networks and social media. WOM in social media differs
from the general WOM in offline setting in three important aspects. First, WOM in
social media is much more accessible and scalable than the general WOM in offline
settings. WOM in the form of user-generated contents created by users of social
media are exposed to an enormous audience—all other network members or even
all Internet users. In contrast, offline WOM is only confined to parties involved in
the interpersonal communication. For example, A can tell B about A's usage experi-
ence of a product, and that general WOM can only have impact on B's evaluation
about the discussed product. If A goes online and posts a review about that product
on a popular online review site like Amazon.com, then the same piece of WOM
information can be viewed by millions of others and therefore could have a much
stronger impact than it could offline.
 
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