Internati
o
nal
Journal of Ele
c
trical
and Computer
Engineering
(IJE
CE)
V
o
l.
6, N
o
. 5
,
O
c
tob
e
r
201
6, p
p
. 2
447
~245
3
I
S
SN
: 208
8-8
7
0
8
,
D
O
I
:
10.115
91
/ij
ece.v6
i
5.1
055
6
2
447
Jo
urn
a
l
h
o
me
pa
ge
: h
ttp
://iaesjo
u
r
na
l.com/
o
n
lin
e/ind
e
x.ph
p
/
IJECE
Social Media Success for Know
ledge Sharing: Instrument
Content Validation
Seti
aw
an Asse
ga
ff
1
, K
u
rniabudi
2
, Hendri
2
1
Information
S
y
stem Postgradute Program, Di
n
a
mika Bangsa Computer
College,
Indonesia
2
Departement o
f
Computer
Science, Dinamika B
a
ngsa
Computer
College, Indones
i
a
Article Info
A
B
STRAC
T
Article histo
r
y:
Received
Mar 21, 2016
Rev
i
sed
Ju
l 11
,
20
16
Accepte
d
J
u
l 27, 2016
Knowledge sharing is important ac
tivity
for
create a n
e
w
knowledge.
Information tech
nolog
y
today
br
ings
big oppurtubity
for people in conduct
knowledge sharing. This m
e
dia provides effective and
com
p
etiti
v
e
techno
log
y
tool
for knowledge s
h
aring.
The
aim
e
d of this stud
y
is to report
the on
proc
es
s
res
earch
th
at
in
ves
tigat
es
th
e s
u
cces
s
of s
o
cia
l
m
e
dia for
sharing knowled
g
e among scholars in Indone
sia. This stud
y
fo
cu
s to discuss
the ins
t
rum
e
nt d
e
velopm
ent s
t
ag
es
from
the res
e
arch es
pe
ci
all
y
dis
c
us
s
how
conten
t valid
ity conduct for in
instru
ment valid
ation progress.
Method for
conten
t validation progress was adopti
ng from
Beck and Gale
approach
in
nursing area. This stud
y
resulted in
a validated instrume
nt f
r
om content
valid
ation
appro
ach.
Keyword:
Social Media
K
now
ledg
e Shar
ing
IS Success
Model
Co
n
t
en
t Valid
atio
n
Academ
ic
Copyright ©
201
6 Institut
e
o
f
Ad
vanced
Engin
eer
ing and S
c
i
e
nce.
All rights re
se
rve
d
.
Co
rresp
ond
i
ng
Autho
r
:
Set
i
a
wan Asse
gaf
f
,
In
fo
rm
ation Sy
stem
Postg
r
ad
u
a
te Pr
og
ram
,
Di
nam
i
ka B
a
n
g
sa C
o
m
put
er
C
o
l
l
e
ge,
Jl
. Jen
d
.
S
udi
r
m
an, T
h
eh
o
k
,
Jam
b
i
,
36
13
8,
In
d
onesi
a.
Em
a
il: setiawa
n
a
sseg
a
ffl@stik
o
m
-db
.
ac.i
d
1.
INTRODUCTION
Knowledge Sharing (KS) is regarde
d
as a process that is vi
tal in an
organi
zation, this is because KS
i
s
t
h
e fo
un
dat
i
on
of t
h
e
bi
r
t
h of
new i
d
e
a
s, a fo
rum
for t
h
e
de
vel
o
pm
ent
of b
u
si
ness i
n
n
ovat
i
o
n an
d
im
pl
em
ent
a
t
i
o
n of a l
ear
ni
n
g
proce
ss f
o
r w
o
r
k
er
s [1]
-
[
5]
.
No
na
ka (1
9
9
4
)
defi
nes
KS as
an act
i
v
i
t
y
desi
gne
d
to
h
e
lp p
e
op
le work
tog
e
th
er, facilitatin
g
t
h
e ex
ch
ang
e
of kno
wled
g
e
between
em
p
l
oyees, in
creasi
n
g
th
e
learn
i
ng
cap
acity o
f
th
e o
r
g
a
n
i
zatio
n
,
thereb
y in
creas
ing
th
e ab
ility o
f
peo
p
l
e and
org
a
n
i
zatio
n
s
reach th
eir
goal
s
. Fu
rt
he
r
m
ore KS i
s
be
l
i
e
ved t
o
i
m
prove t
h
e o
r
ga
ni
zat
i
on'
s val
u
es
due t
o
di
ssem
i
nat
i
on
of
kn
o
w
l
e
d
g
e
am
ong
em
pl
oy
ees [
3
]
.
The exam
ples of sim
p
lest KS activities are
the wi
llingness
of
an em
ployee to establish
comm
unication
with
his coll
eague
s, a
n
d ac
tively cons
ult to
learn
from
the
m
. KS ca
n ta
ke
place either at the
lev
e
l o
f
th
e indiv
i
d
u
a
l or
or
g
a
n
i
zatio
n
.
K
S
ind
i
v
i
du
al lev
e
l th
rou
g
h
d
i
alogue b
e
tw
een
ind
i
v
i
du
als in
tend
ed
to
make em
ployees work
better, faster
and m
o
re efficiently
.
Wh
ile at th
e org
a
n
i
zation
a
l lev
e
l,
KS
refers
to
how
or
ga
ni
zat
i
ons
t
o
capt
u
re, d
o
cum
e
nt
, or
ga
ni
ze, re
use, a
nd t
r
a
n
s
f
er t
h
e k
n
o
w
l
e
d
g
e
/
experi
e
n
ce base
d
knowledge is
orga
nized, and m
a
ke knowle
dge
availa
bl
e
and accessible
to all m
e
m
b
e
r
s
of the
orga
nization
with
in
th
e
co
m
p
an
y.
Du
e to
t
h
e ro
le of su
p
e
rv
iso
r
s is
s
o
i
m
port
a
nt
i
n
an
or
ga
ni
zat
i
on;
t
h
e o
r
gani
zat
i
o
n t
r
y
i
n
g
to
KS can
run
well. Prev
iou
s
research
h
a
s iden
tified
th
at
or
gani
zat
i
o
ns t
h
a
t
successf
ul
l
y
pr
om
ot
e KS cul
t
u
r
e
not
onl
y
beca
u
s
e t
h
e o
r
ga
ni
za
t
i
on su
ccessf
ul
l
y
sy
nergi
ze ut
i
l
i
zat
i
on of
kn
o
w
l
e
d
g
e i
n
i
t
s
b
u
si
ness
st
rat
e
g
y
,
but
also
h
o
w th
e org
a
n
i
zatio
n
is ab
le to
in
terv
en
e/ ch
ang
i
ng
th
e attitu
d
e
s and
b
e
h
a
v
i
o
r
of workers to
b
e
willing
an
d con
s
isten
t
l
y
p
a
rticip
ating
in
KS.
Cu
rren
tly, th
e d
e
v
e
l
o
p
m
en
t o
f
in
fo
rm
atio
n
tech
no
log
y
h
a
s
p
r
ov
id
ed
m
a
n
y
n
e
w opp
ortun
ities so
th
at
the excha
n
ge of knowledge ca
n be acco
m
p
lished e
v
en if c
o
nstraine
d by di
stance, tim
e
and place [6]. Through
Evaluation Warning : The document was created with Spire.PDF for Python.
I
S
SN
:
2
088
-87
08
I
J
ECE
Vo
l. 6
,
N
o
. 5
,
O
c
tob
e
r
20
16
:
244
7
–
24
53
2
448
a vari
et
y
of ap
pl
i
cat
i
ons an
d
new t
ech
n
o
l
o
g
i
es of i
n
f
o
rm
ati
on t
ech
n
o
l
o
gy
can be use
d
a
s
a sol
u
t
i
o
n fo
r t
h
e
abo
v
e
pr
obl
em
s. O
n
e p
r
om
i
s
ing t
e
c
h
n
o
l
o
gy
i
s
by
usi
n
g so
c
i
al
m
e
dia facilities. W
i
t
h
all its social
m
e
dia can
b
e
u
tilized
as m
u
ch
as a virtu
a
l too
l
th
at
can
h
e
lp
i
n
co
mm
u
n
i
catio
n
,
i
n
teraction
,
and
co
llab
o
ratio
n
o
r
virtually [7]-[9]. Features s
u
c
h
as chat feature, F
ace
bo
o
k
wal
l
,
shari
n
g d
o
cum
e
nt
s, an
d
vi
deo c
o
nfe
r
e
n
ci
n
g
are s
o
m
e
of the
facilities that can
be
utilized in the
sha
r
ing
of knowle
d
ge a
m
ong m
e
m
b
ers of a
group in
social
m
e
di
a. Not
o
n
l
y
i
n
t
e
rm
s of f
eat
ures, t
h
e am
ou
nt
o
f
use o
f
a l
a
rge s
o
ci
al
m
e
di
a i
s
al
so a t
r
em
endous
p
o
t
e
nt
i
a
l
[7]
.
Research i
n
the field of soci
al
m
e
dia and
KS that
has d
one t
h
i
s
t
i
m
e
incl
u
d
es c
once
p
t
u
al
m
odel
s
,
case studies, e
m
pirical studies (e.g.,
[
10]
-
[
16]
One
o
f
t
h
e st
udi
es
rel
a
t
e
d t
o
t
h
e s
o
ci
al
m
e
di
a and
KS
by
Raz
m
erita et al. (2009)). Th
ey
argue that there are pr
inciple
s
in comm
on between s
o
cial media and KS
[14].
Social Media has shown a positive ro
le in
KS. Som
e
researche
r
s ha
ve
successfully identif
ied the be
nefits
obt
ai
ne
d t
h
r
o
u
gh t
h
e u
s
e o
f
s
o
ci
al
m
e
di
a i
n
KS [
1
7]
. H
o
w
e
ver
,
al
t
h
o
u
gh
t
h
e p
r
i
n
ci
pl
e
b
e
l
i
e
ved s
o
ci
al
m
e
di
a
synergy wit
h
KS
but re
searc
h
ers
also
found the c
o
nstraints
face
d i
n
the
i
m
ple
m
entation of s
o
cial m
e
dia in
KS
[1
8]
. K
S
i
n
soc
i
al
m
e
di
a can be ac
hi
eve
d
t
h
ro
u
gh a
va
ri
et
y
of t
ool
s t
h
at
al
l
o
ws
fo
r c
r
eat
i
n
g
,
c
odi
fy
,
o
r
g
a
ni
ze
,
and s
h
are knowledge,
but als
o
to soci
al
i
ze and i
m
pro
v
e pe
r
s
on
al
net
w
or
k
and c
o
l
l
a
b
o
rat
e
i
n
or
der t
o
or
gani
ze
and create
ne
w knowledge
[14]
.
Raz
m
erita e
t
al
., 20
09
, pro
p
o
s
es
m
u
ltip
le
tech
no
log
i
es in
social
med
i
a th
at
can
b
e
u
s
ed
in
o
p
timizin
g
k
nowledg
e sh
aring
,
n
a
m
e
ly
:
Pers
onal
we
bp
ages i
s
a
t
o
ol
t
h
at
can
i
m
prov
e t
h
e
or
ga
ni
zat
i
on a
n
d
prese
n
t
a
t
i
on
of
i
n
f
o
rm
at
i
on a
n
d
s
h
ari
n
g
with
th
e co
mmu
n
ity.
Perso
n
l
aized search too
l
s prov
id
e t
h
e
facilit
y to
search
fo
r
an
d sh
are i
n
fo
rmatio
n
.
Soci
al
b
o
okm
arki
ng
t
o
ol
t
h
at
al
l
o
ws c
o
m
m
uni
t
y
m
e
m
b
ers t
o
sha
r
e
b
o
o
k
m
a
rks
of i
n
t
e
rest
am
ong
t
h
e
me
m
b
er
s
.
Peso
nal
i
zed l
i
v
e di
scussi
on
fo
rum
i
s
a t
ool
t
h
at
can gui
de i
n
anal
y
z
i
ng, e
v
a
l
uat
i
ng,
di
spl
a
y
i
ng an
d s
h
ari
n
g
i
n
f
o
rm
at
i
on a
m
ong m
e
m
b
ers k
o
m
u
i
n
t
a
s.
Virtu
a
l
Worl
d
is a too
l
th
at enco
urag
es co
mm
unity
me
m
b
ers to share t
h
eir
knowle
dge.
Blo
g
s
an
d
wikis are th
e too
l
s an
d
supp
ort fo
r ed
itin
g,
v
i
ewing
,
o
r
g
a
n
i
zin
g
i
n
fo
rm
atio
n
o
r
k
nowledg
e b
y
i
ndi
vi
dual
s
o
r
col
l
a
bo
rat
e
wi
t
h
ot
he
rs.
The t
o
ol
s i
n
t
h
e up
per
part
o
f
t
h
e t
echnol
og
y
and soci
al
m
e
di
a servi
ces t
h
at
can be an
opt
i
o
n f
o
r
us
in
op
timizin
g
t
h
e activ
ity of i
n
d
i
v
i
du
al am
o
n
g
sh
are
kn
owled
g
e
with
fello
w co
mm
u
n
ity
m
e
m
b
ers. Un
l
i
k
e
th
e
t
r
adi
t
i
onal
t
o
ol
s fo
r k
n
o
wl
e
d
ge sha
r
i
n
g, s
o
ci
al
m
e
di
a-bas
e
d t
ech
nol
ogy
servi
ces s
u
pp
ort
i
n
g t
h
e
pr
o
cess of
in
teractio
n, co
l
l
ab
oratio
n
m
o
re in
teractiv
e and
in
ten
s
i
v
e,
thu
s
en
ab
ling
th
e sh
aring
of kn
owledg
e th
at is
rich
er
in
con
t
en
t an
d
m
o
r
e
in
tensive. So
cial m
e
d
i
a w
ith
all its f
eatu
r
e h
a
s
g
i
v
e
a b
i
g
o
ppor
tun
ity to
b
e
u
s
e as
effective
KS tool.
Howe
ver i
n
the co
n
t
ex
t of
I
ndo
n
e
sia
p
e
o
p
le, w
e
d
o
no
t
kn
ow
yet how
su
ccess so
cial
med
i
a
play a role as
effective t
ool
for
kn
ow
ledg
e
sh
ar
i
n
g. Th
roug
h
t
h
is stud
y
w
e
wou
k
d
lik
e to
inv
e
stig
ate h
o
w
success
f
of s
o
cial
m
e
dia utilizati
on in the excha
n
ge of
knowledge am
ong
user
who uses social
m
e
dia in
In
d
onesi
a.
To ac
hive t
h
e
researc
h
object
ive we
nee
d
to de
ve
lop
ap
pr
op
r
i
ate in
st
r
u
m
e
n
t
.Th
i
s stud
y uses th
e
IS
Success M
o
de
l
of DeLo
ne
and M
c
Lea
n
(2
0
0
1
)
as t
h
e basi
c conce
p
t
t
o
devel
o
p researc
h
m
odel
and
instrum
e
nt IS
Success
.
T
h
is
article is
one
part of our com
p
lete researc
h
.
In
t
h
is study we foc
u
s
discuss
on the
p
r
o
cess
o
n
con
t
en
t v
a
lid
ation
fo
r
o
u
r in
stru
m
e
n
t
. Th
e v
a
lid
ate in
stru
m
e
n
t
is critifal a
s
p
ect in
in
formatio
n
syste
m
researc
h
.
2.
R
E
SEARC
H M
ETHOD
Co
n
t
en
t v
a
lid
it
y activ
ity is o
n
e o
f
th
e acti
v
ities wh
ich
is carried
ou
t b
y
o
b
serv
i
n
g all ite
m
(ind
icato
r
)
cont
ai
ne
d i
n
t
h
e i
n
st
r
u
m
e
nt
s t
h
at
ha
ve
bee
n
devel
ope
d a
r
e i
ndi
cat
o
r
s t
h
at
c
r
eat
ed
has
re
pr
esent
e
d
an
d
rel
e
vant
to
th
e to
p
i
c o
f
th
e research
activ
ities o
f
th
is
v
a
lid
ation
is g
e
n
e
rally su
itable fo
r th
e research
dev
e
l
o
p
m
en
t o
f
a
new
i
n
st
r
u
m
e
nt
t
o
be
ap
pl
i
e
d
t
o
resea
r
c
h
[
1
9
]
. Som
e
opi
ni
o
n
s
fr
om
expert
s rel
a
t
e
d t
o
t
h
e
val
i
d
at
i
o
n o
f
c
ont
e
n
t
are as
follows:
(1
)
The l
e
vel
wh
ere an i
n
st
r
u
m
e
nt
devel
o
pe
d i
t
e
m
s
(i
ndi
c
a
t
o
rs
) are s
u
i
t
a
bl
e f
o
r m
easuri
ng c
o
nst
r
uc
t
s
/
vari
a
b
l
e
s m
easure
d
.
[
19]
(2
)
Can whethe
r or not an ite
m
(indicator) i
n
a research
i
n
st
r
u
m
e
nt
prese
n
t
e
d
t
h
e dom
ai
n of
cont
e
n
t
aim
e
d at
a stud
y [2
0
]
Co
n
t
en
t V
a
lid
atio
n
can
b
e
carr
i
ed
ou
t thr
ough
th
e ev
alu
a
tion
cond
u
c
ted
by a tea
m
o
f
exp
e
r
t
s to
t
h
e
in
stru
m
e
n
t
th
at h
a
s b
e
en
d
e
v
e
lop
e
d. In
this activ
ity, th
e tea
m
o
f
ex
p
e
rts will ev
alu
a
te th
e relev
a
nce of
indicators selected by the va
riables m
easured. T
h
e m
a
tr
i
x
was de
vel
o
pi
ng
base o
n
t
h
e researc
h
m
o
del
.
I
n
devel
op
resea
r
ch m
odel
Del
o
ne an
d M
c
l
ean
Success M
o
d
e
l
appl
i
e
d as
b
a
si
s t
h
eo
ry
. D
e
l
one a
n
d
M
c
l
ean I
S
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
ECE
I
S
SN
:
208
8-8
7
0
8
Soci
a
l
Me
di
a
S
u
ccess f
o
r K
n
o
w
l
e
dge
S
hari
n
g:
I
n
st
ru
me
nt
C
ont
e
n
t
Val
i
da
t
i
on (
S
et
i
a
w
a
n
Asseg
a
f
f
)
2
449
Success
Model was e
n
hance
d
by consi
d
er i
m
portant fact
ors in
social m
e
dia and
knowl
e
dge
sha
r
ing t
h
at we
foun
d fro
m
lite
ratu
re rev
i
ew activ
ities. Fi
g
u
re 1
d
e
scrib
e
s ou
r research m
o
d
e
l.
Fi
gu
re
1.
R
e
se
arch
M
o
del
Aft
e
r
devel
op
t
h
e
m
odel
(Fi
g
ure 1
)
,
we d
o
conce
p
t
u
alizatio
n
o
f
all v
a
riab
le in
co
rp
orat
e with
o
u
r
researc
h
m
odel. The c
once
p
tualization
is i
m
portant
proses, because va
riable
will be spe
c
ifies defi
ne to fulfil
l
th
e
n
e
ed
of
th
e r
e
s
e
ar
c
h
.
Tab
l
e 1
.
Variab
le
Defin
ition
an
d
Resources
Variable
Definition
Sources
Syste
m
Qualit
y
Desirable cha
r
act
eristics of
an In
f
o
r
m
ation S
y
ste
m
quality.
[21]
Knowledge/I
nform
a
tion Quality
Desirable cha
r
ac
teristics of the sy
ste
m
outputs
(
knowledge or
info
rm
ation)
[22]
Services
Qualit
y
Quality
of the se
rvice or support
that sy
ste
m
users
receive f
r
o
m
the I
S
organization and IT
Suppor
t per
s
onnel
in gener
a
l or
for
specific I
S
.
[23]
,
[
2
4
]
Syste
m
Use
Degree and
m
a
nne
r in
which sta
f
f and custom
ers utilize
the capabilities of an IS.
[25]
User Satisfaction
Users’ l
e
vel of
satisfaction with
th
e IS.
[
2
3
]
,[
24
]
I
ndividual
Im
pact
E
x
tent to which I
S
are contributing to the success
of
individ
u
als
[21]
User Chara
c
teristi
c
s
The
characte
r
is
tics of user
who using the sy
stem
.
Under
s
tand the user
char
acter
istic
would help gui
de
decision about t
h
e functio
nality
, des
i
gn and conte
n
t to
include on the sy
stem
.
[23]
,
[
2
4
]
After th
e co
n
c
ep
tu
alizatio
n
pro
s
e is fin
i
sh
ed
, a m
a
trix
fo
r rater was d
e
velo
p
i
ng
. The n
e
x
t
tab
l
es
descri
be
ou
r m
a
trix f
o
r rate
r.
Tab
l
e 2
d
e
scri
b
e
s twelev
e i
n
d
i
cato
r
s t
h
at we d
e
v
e
lop
to
m
easu
r
e Syste
m
Qu
ality Variab
le. Th
e
i
ndi
cat
o
r
s were
ad
opt
e
d
fr
om
pre
v
i
o
us resea
r
ch.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
S
SN
:
2
088
-87
08
I
J
ECE
Vo
l. 6
,
N
o
. 5
,
O
c
tob
e
r
20
16
:
244
7
–
24
53
2
450
Tab
l
e 2
.
Ind
i
acto
rs State
m
en
ts
fo
r System
Qu
ality
Variab
le
I
ndicator
s
Not Relevant
Highly
Relevant
SM
Q1: Social
m
e
d
i
a application shou
ld be
easy to use
(Ease
of
Use)
SMQ2: Social
m
e
d
i
a application should be easy to
learn
(
E
ase of
learning)
SMQ3: Social
m
e
d
i
a should be easily
accessible applicat
ion (Access)
SM
Q4: Social
m
e
d
i
a application shou
ld be
able to
m
e
et t
h
e needs of
users (User
Requir
e
m
e
nt)
SM
Q5: Social
m
e
d
i
a application
m
u
st have
featur
es that
suppor
t in
form
atio
n shar
ing
activity (Syst
e
m
F
eature)
SM
Q6: Social
m
e
d
i
a application
m
u
st be suppor
ted by
a
sy
stem
that is accur
a
te
(
S
y
s
te
m
Accurac
y
)
SMQ7: Social
m
e
d
i
a application should be acce
ssible on various devices
(Flexibility)
Social
m
e
dia
should be reliable applic
ation (Reliability)
SM
Q8: Social
m
e
d
i
a application shou
ld be
ef
f
i
cient when used (Ef
f
i
ciency)
SM
Q9: Social
m
e
d
i
a application shou
ld be
ef
f
ective when used (Ef
f
ective)
SM
Q10: Social
m
e
dia application sho
u
ld be
able to satisfy
user
(
S
ophistication)
SM
Q11: Social
m
e
dia application
m
u
st be integr
ated with other
applications that suppor
t
(
I
n
tegr
ation)
SM
Q12: Social
m
e
dia application sho
u
ld be custo
m
ized
(
C
usto
m
i
zation)
Tab
l
e 3
d
e
scrib
e
s th
irteen
ind
i
cato
r
s t
h
at
we d
e
v
e
lop
t
o
m
easu
r
e Syst
e
m
Qu
ality Variab
le. Th
e
i
ndi
cat
o
r
s were
ad
opt
e
d
fr
om
pre
v
i
o
us resea
r
ch.
Tab
l
e 3
.
Ind
i
cato
rs State
m
en
ts
fo
r Kn
owledge/In
f
orm
a
t
i
o
n
Qu
ality
Variable
I
ndicator
s
Not Relevant
Highly
Relevant
KI1: Inform
ation /
knowledge is deliv
ered in so
cial
m
e
di
a m
u
st
be reliable (Believability
)
KI
2: I
n
form
ation /
knowledge is deliv
er
ed in so
cial
m
e
dia
m
u
st be objectiv
e (
O
bjectivity
)
KI3: Inform
ation /
knowledge is deliv
ered in so
cial
m
e
di
a should be accurate (Ac
c
urac
y
)
KI
4: I
n
form
ation/knowledge pr
esented in social
m
e
dia s
hould be r
e
putable
(
R
eputation)
KI
5: I
n
form
ation/knowledge pr
esented in social
m
e
dia s
hould have the val
u
e of benefits
(
V
alue-
a
dded)
KI
6: I
n
form
ation/knowledge pr
esented in social
m
e
dia s
hould be r
e
levant (
R
elevancy
)
KI
7: I
n
form
ation/knowledge pr
esented in so
cial
m
e
dia s
hould be on sche
d
u
le needs
(Ti
m
elines)
KI
8: I
n
form
ation/knowledge pr
esent
e
d in social
m
e
dia
should be intact (
C
o
m
pleteness)
KI
9: I
n
form
ation/knowledge pr
esented in
social
m
e
dia s
hould be packaged
in
s
m
all a
m
ounts of r
e
lative data
(
A
ppropr
iate am
ount of data)
KI
10: I
n
form
ation
/ knowledge is deliver
ed in
social
m
e
dia should be inter
p
r
e
ted pr
oper
l
y
(Interpret
a
bility)
KI
11: I
n
form
ation
/ knowledge is deliver
ed
in social
m
e
dia should be easily
under
s
tood
(
E
ase of Under
s
tan
d
ing)
KI
12: I
n
form
ation
/ knowledge is deliver
ed
in social
m
e
dia should be pr
es
ented
consistently (Representational consis
tency)
KI
13: I
n
form
ation
/ knowledge is deliver
ed in
social
m
e
dia should be exp
o
s
ed br
iefly
(
C
oncise Repr
esentation)
Tab
l
e 4
d
e
scrib
e
s fiv
e
ind
i
cato
r
s th
at we d
e
v
e
l
o
p
to
measu
r
e System Qu
ality Variab
le. The
i
ndi
cat
o
r
s were
ad
opt
e
d
fr
om
pre
v
i
o
us resea
r
ch.
Tab
l
e 4
.
Ind
i
cato
rs State
m
en
ts
fo
r Serv
ice Quality
Variab
le
I
ndicator
s
Not Relevant
Highly
Relevant
SQ1: Social
m
e
dia application should
have a
fast r
e
sponse when used (
R
es
ponsive
n
ess)
SQ2: Social
m
e
dia
applications s
houl
d have good accuracy
(Accuracy)
SQ3: Social
m
e
dia application is alway
s
r
unning and op
er
ate pr
oper
l
y
while in use
(Reliability)
SQ4: Social
m
e
dia application develo
per
s
should be sup
por
ted by
a co
m
p
etent team
(Technical Co
m
p
e
t
ence)
SQ5: Social
m
e
dia application develo
per
s
should be sup
por
ted by
staff who em
pathize
with the user
(E
m
p
athy
of per
s
onal Staff)
Tab
l
e 5
d
e
scrib
e
s th
ree indicato
r
s th
at we d
e
v
e
lop
to
measu
r
e System Qu
ality
Variab
le. Th
e
i
ndi
cat
o
r
s were
ad
opt
e
d
fr
om
pre
v
i
o
us resea
r
ch.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
ECE
I
S
SN
:
208
8-8
7
0
8
Soci
a
l
Me
di
a
S
u
ccess f
o
r K
n
o
w
l
e
dge
S
hari
n
g:
I
n
st
ru
me
nt
C
ont
e
n
t
Val
i
da
t
i
on (
S
et
i
a
w
a
n
Asseg
a
f
f
)
2
451
Table 5. Indica
tors State
m
en
t fo
r Sy
stem
Use Va
riable
I
ndicator
s
Not Relevant
Highly
Relevant
SU1: I
use social
m
e
dia to co
m
m
unicat
e knowledge and inform
ation (
C
o
m
m
u
nicate
Knowledge and I
n
form
ation)
SU2: I
use social
m
e
dia to shar
e knowledge
and gener
a
l inform
at
ion (
S
hare Gener
a
l
Knowledge and I
n
form
ation)
SU3: I w
ill use soc
i
al
m
e
dia
to share
sp
ecific knowledg
e and inform
ation;
(Share
Specific Knowledge and I
n
form
ation)
Tab
l
e 6
d
e
scrib
e
s th
ree indicato
r
s th
at we d
e
v
e
lop
to
measu
r
e System Qu
ality
Variab
le. Th
e
i
ndi
cat
o
r
s were
ad
opt
e
d
fr
om
pre
v
i
o
us resea
r
ch.
Tab
l
e 6
.
Ind
i
cato
rs State
m
en
ts
fo
r User
Satisfactio
n
Variab
le
I
ndicator
Not Relevant
Highly
Relevant
US1: I a
m
sa
tisf
i
ed with the Social
m
e
dia app
lication t
h
at I use (gener
al s
a
tisf
action)
US2: I
a
m
satisfied with the
knowledge and inf
o
rm
ation I
got
(
knowledge/inf
o
r
m
ation satisfaction)
US3: I a
m
sa
tisf
i
ed with the f
eatures
av
ailable on Social
m
e
dia
application (Syste
m
f
eature satisf
action)
Tab
l
e
7
d
e
scrib
e
s fou
r
i
n
d
i
cato
r
s t
h
at we d
e
v
e
lop
to
measu
r
e System
Qu
ality Variab
le. Th
e
i
ndi
cat
o
r
s were
ad
opt
e
d
fr
om
pre
v
i
o
us resea
r
ch
Tabl
e 7.
I
ndi
c
a
t
o
rs St
at
em
en
t
fo
r In
di
vi
dual
Im
pact
Vari
a
b
l
e
I
ndicator
s
Not Relevant
Highly
Relevant
I
I
1
: Social
M
e
dia is one of
m
y
for
u
m
s
in lear
ning (
L
earning)
II2: Social
Media i
n
creases
m
y
awa
r
e
n
ess on certain issues (Awa
reness/ R
ecall)
II3:
Utiliz
ing
social m
e
dia to m
a
ke
decisions
which I take to be
m
o
re effective in
working (Decision Ef
f
ectiveness)
II4: Utiliz
ing social
m
e
dia
m
a
kes
m
e
produc
tive at work (Individual Productivity
)
Act
i
v
i
t
y
i
n
det
e
rm
i
n
i
ng t
h
e re
l
e
vance
of
t
h
es
e can
be
do
ne
by
seve
ral
m
e
tho
d
s.
He
re i
s
a
m
e
t
hod t
h
at
can
b
e
selected in
carrying
o
u
t
an
activ
ity co
nten
t v
a
lid
ation
.
(1
)
Using the ave
r
age value calc
u
lated from
th
e value of
relev
a
n
ce sco
r
e lev
e
l in
d
i
cator in
th
e in
stru
m
e
n
t
assessed by e
x
pert team
s [26]
(2
)
Using
alph
a coefficien
t v
a
l
u
e to
m
easu
r
e th
e su
itab
ility o
f
an
in
d
i
cat
o
r
o
f
th
e lev
e
l o
f
relev
a
n
ce
d
e
n
m
g
a
n
vari
a
b
l
e
s [
2
0]
(3
)
In calcu
latin
g th
e
v
a
lu
e
ko
ov
aria
t of ka
ppa c
o
efficient [19]
In th
is activ
ity, we h
a
v
e
a m
e
th
od
t
h
at is
q
u
i
te a
l
o
t
has
bee
n
a
d
o
p
t
e
d
by
p
r
evi
ous
re
searc
h
ers
.
T
h
i
s
m
e
t
hod i
s
a
m
e
t
h
o
d
t
o
cal
cul
a
t
e
t
h
e ave
r
a
g
e
val
u
e
o
f
t
h
e
a
ssessm
ent
t
e
am
of expe
rt
s
(
m
et
hod
n
o
.
1)
.
In
t
h
i
s
m
e
thod a
fe
w
people
will be
designated as a
m
e
m
b
er of
the expert team
. The e
x
pert tea
m
is pers
ons
who ha
s
k
nowledg
e rel
e
v
a
n
t
to
th
e research
top
i
c an
d
h
a
v
e
g
ood
sk
ills in
si
mila
r research
. The research
in
stru
m
e
n
t
th
en
co
llated
b
y
listin
g
all
th
e q
u
e
stio
n
s
o
f
th
e research
in
stru
m
e
n
t
alo
n
g
with
the co
lu
m
n
v
a
lues th
at
represe
n
t the l
e
vel of
releva
nce of indicators (re
prese
n
ted
b
y
th
e
qu
estion
as /
state
m
e
n
t) and
th
e m
e
asu
r
ed
vari
a
b
l
e
s.
3.
R
E
SU
LTS AN
D ANA
LY
SIS
In this study,
the tea
m
invited three e
xpe
rts to
evaluate the indicators
in each varia
b
le in the
i
n
st
rum
e
nt
t
h
a
t
has bee
n
de
vel
o
ped
.
Sel
e
c
t
i
on o
f
t
h
e t
e
am
of ex
pe
rt
s base
d o
n
t
h
e
fol
l
o
wi
n
g
c
r
i
t
e
ri
a:
Doct
orate le
vel education i
n
C
o
m
puter
Science, ha
ve
experie
n
ce c
o
nducting re
s
earch in the
field
of
Inform
atio
n
Syste
m
s, h
a
s a goo
d track
record in
tern
atio
n
a
l
pu
b
lication
.
A m
a
t
r
i
x
was devel
ope
d as a
m
eans for e
xpe
rt
s t
o
pass
rat
i
ng agai
n
s
t
i
ndi
cat
ors t
h
a
t
have bee
n
cr
eated
f
o
r
each
v
a
r
i
ab
le. Mat
r
ix
is
b
a
sed
on
th
e v
a
r
i
ab
les
used
in
t
h
is study. Th
e item
s
ar
e g
r
ou
p
e
d
b
a
sed
on
the va
riables
measured and then a team
of e
x
perts a
s
k
e
d t
o
assess
t
h
e l
e
vel
o
f
rel
e
vance
ba
sed
on
t
h
e
kn
o
w
l
e
d
g
e an
d
expe
ri
ence t
h
ey
have.
As a
refe
rence i
n
a
fo
ur
-
poi
nt
rat
i
ng i
s
use
d
by
ado
p
t
i
n
g Li
n
k
e
r
t
scal
e
rat
i
ngs
as
fol
l
o
w
s:
poi
nt
1
=
Very
i
r
rel
e
va
n
t
;
poi
nt
2
=
no
t
rel
e
va
nt
;
3 =
rel
e
va
nt
poi
nt
s;
4 =
ve
ry
rel
e
van
t
poi
nt
s.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
S
SN
:
2
088
-87
08
I
J
ECE
Vo
l. 6
,
N
o
. 5
,
O
c
tob
e
r
20
16
:
244
7
–
24
53
2
452
A
f
ter
a team
o
f
ex
perts co
nduct th
e v
a
lid
ation
,
then
p
e
rfo
rmed
statistical
an
alysis activ
ities u
s
ing
th
e
A
C
P
(
B
eck and
G
a
b
l
e,
2
001
). Th
e
r
e
su
lts
of
th
e calcu
lation
o
f
th
e v
a
l
u
e
is f
r
o
m
th
e analysis u
s
ing
method
AC
P t
h
e
n
sh
o
w
ed t
h
at
of t
h
e
43 i
n
di
cat
o
r
s
deri
ved
fr
om
seven
vari
a
b
l
e
s,
t
h
e 37
AC
P i
n
di
cat
or
has a v
a
l
u
e o
f
1
0
0
%
, and
6
i
n
d
i
cators
h
a
s
a v
a
lu
e
of A
C
P 90
%. Referrin
g
t
o
th
e
op
in
ion
o
f
Po
lit an
d
Beck
(2007
) t
h
at
indicator
has a
value
of at lea
s
t 90%
will be
declare
d
acce
ptable.
It ca
n
be
conclude
d that a
ll indicators we
re
42
decl
a
r
ed
ac
cept
a
bl
e a
n
d c
a
n
be
use
d
f
o
r
t
h
e val
i
d
at
i
o
n
pr
ocess
f
u
rt
her
.
Valid
ity p
r
o
c
ess is on
e of i
m
p
o
r
tan
t
stag
e in
in
form
at
io
n
system
research
[27
]
, th
e ai
m
o
f
th
is
activ
ity is to
en
su
re th
e
research
i
n
stru
m
e
n
t
m
e
e
t
t
h
e i
n
fo
rm
ati
on sy
st
em
st
andart
re
qui
rm
ent
[27]
,
[
2
8
]
.
Sch
o
lar
fr
om
inf
o
rm
ation sy
stem
area rec
o
m
m
e
nded
tha
t
research
er in in
fo
rm
atio
n
syste
m
co
n
s
isten
t
i
n
co
ndu
ct all pr
og
r
e
ss to
ach
i
eve h
i
gh
t
q
u
a
lity r
e
sear
ch in
I
n
f
o
r
m
at
io
n
syst
e
m
ar
ea [2
7
]-[2
9
]
. C
o
n
t
en
t
valid
ity
as o
n
e
of
i
n
st
r
u
m
e
nt
val
i
d
i
t
y
p
r
oces
s i
s
bei
n
g
im
port
a
n
t
activity in
Inform
ati
o
n
System
research area
[27].
4.
CO
NCL
USI
O
N
R
e
sul
t
o
f
t
h
i
s
st
u
d
y
i
s
t
h
e i
n
st
r
u
m
e
nt
whi
c
h
has
val
i
d
at
e by
c
o
nt
ent
val
i
d
i
t
y
pr
oces
s.
Ou
r
ne
xt
ag
end
a
is to
do p
ilo
t st
u
d
y
i
n
o
r
d
e
r to
en
su
re th
e instru
m
e
n
t
m
e
e
t
th
e criteria in
v
a
li
d
ity an
d reliab
ility test.
ACKNOWLE
DGE
M
ENTS
The research i
s
supp
ort
e
d by
M
e
nri
s
t
e
k DIKTI by
Pro
g
ra
m
Hi
bah Kom
p
t
e
si
si
bact
h Fun
d
am
ent
a
l
Research Tahun Anggaran
2016.
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7
0
8
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a
l
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di
a
S
u
ccess f
o
r K
n
o
w
l
e
dge
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hari
n
g:
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n
st
ru
me
nt
C
ont
e
n
t
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i
da
t
i
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S
et
i
a
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n
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a
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BIOGRAP
HI
ES OF
AUTH
ORS
Setiawan Asseg
a
ff was born in
T.Karang
, Indon
esia
. He is PhD Information S
y
stem holder from
Universiti Tekn
ologi Mala
ysia
. His special field
s
of interest incl
uded Knowledge Managem
e
nt
,
Social Med
i
a, Technolog
y
Adop
tion and
Social-
C
ommerce. He
has exper
i
ences
as lecture for
m
o
re then twele
v
e
years
.
His
works
have been
published in national and in
tern
ation
a
l journal
and conf
eren
ces
.
Kurniabudi was born in Ja
mbi,
Indonesia. He received degr
ee from UPI
YPT
K
Padang and
master degree in
Magister of
Inf
o
rmation Techn
o
log
y
from same university
.
His
current research
inter
e
sts include
E-Learning
, Info
rma
tion
s
y
s
t
em, and
Technolo
g
y
Adoption.
Hendri was bor
n in Jambi, Ind
onesia. He
received degr
ee fro
m STI
KOM Dinamika
Bangsa
Jambi in 2009 and master degree in Magister
in
f
o
rmation s
y
stem
from STIKOM
DB of Jambi in
2011. His curr
ent research
inter
e
sts includ
e Web
Development, datab
a
se
, Infor
m
ation s
y
stem,
Online M
a
rk
etin
g, E-
com
m
e
rce,
E-Bus
i
nes
s
.
Evaluation Warning : The document was created with Spire.PDF for Python.