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8/13/2019 1. Knowledge Management
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1. Introduction in KnowledgeManagement
Ion Voicu Sucală – PhD
Technical University of Cluj-Napoca, Romania
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23 Novemer 2!"3 #no$le%&e 'ana&ement Cours2
Objectives
to outline the context, to deine the conce!t.
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"ontext
#lobali$ation and com!etition - many or&ani(ationsrely on )no$le%&e to create their strate&ic a%vanta&e*
+ith availale )no$le%&e $i%ely %isperse% an%
fra&mente%, or&ani(ations often $aste valuale time
an% resources in reinventin& the $heel or failin& to
access the hi&hest uality )no$le%&e an% e.pertise
that is availale*
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"ontext
0 stu%y ma%e in four %ifferent or&ani(ations – U*1*
Defense ntelli&ence 0&ency, the testin& service T1,the %ru& company Novartis an% the research institute
4attelle sho$s the %nowledge wor%ers& time s!ent5
- 1',() searchin& for )no$le%&e,
- *,() sche%ulin& meetin&s $ith e.perts,- +,) elicitin& )no$le%&e from e.perts,
- -,/) a%aptin& &aine% )no$le%&e*
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"ontext
Successul Innovation – companies applyin&)no$le%&e mana&ement metho%s have foun% that
throu&h )no$le%&e net$or)in& they can create ne$
pro%ucts an% services faster an% etter*
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"ontext
+ith stoc)s tra%in& on the international mar)et at an
avera&e of si. times their companies material $orth
8'icrosoft at "6 to "9, the usiness community is )eenly
a$are that its value is more %eeply eme%%e% in $hat it
knows, not $hat it owns*
0n estimate% 80 percent of the )no$le%&e asset isnto$ne%* ts not in computers: its not in file cainets – its
;rente%
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"ontext
Companies ha% spent illions of %ollars installin&
information technolo&y an% %evelopin& communicationnet$or)s that $oul% meet the challen&e of the
nformation 0&e* They too $ere %isappointe% in the
outcome* Computers an% file cainets ecame cho)e%
$ith unuse% %ata an% information $hich $ere rarelyaccesse% y $or)ers $ho $ere uncertain aout their
roles an% over$helme% y the enormity of it all*
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"ontext
t is estimate% that =! to >! percent of $hat the$or)ers )no$ is hi%%en* +e %ont )no$ $hat $e
)no$ an% $e %ont )no$ $ho )no$s it*
in the n%ustrial 0&e if an or&ani(ation %i%nt )no$
$hat its tan&ile assets $ere or $ho ha% them, it$as li)ely hea%e% for an)ruptcy
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"ontext
@or most of their professional lives, the $or)ers have fit
themselves comfortaly into professional pi&eonholes$here they %o their est to meet the performance
stan%ar%s of narro$ly %efine% jo %escriptions* They
have left the ;i& pictureA up to the ;front office; an%
ta)en comfort in the fact that their jos are secure aslon& as they %o their assi&ne% tas)s an% )eep their
noses out of other peoples usiness*
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"ontext
@urther, $or)ers have assume% that the more the0%now the more secure their jobs are* This culture
%iscoura&es out-of-the-o. thin)in& an% aets
)no$le%&e hoar%in&*
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Momentum o Knowledge Management
The last fe$ years have seen a rapi%ly &ro$in&
interest in the topic of )no$le%&e mana&ement*Bevera&in& #no$le%&e for 1ustainale 0%vanta&e
$as the title of one of the first conferences 8in
"??69 that rou&ht )no$le%&e mana&ement onto
the mana&ement a&en%a*
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Momentum o Knowledge Management
@rom "??= a sur&e of oo)s, ma&a(ines an%
$esites have come onto the scene* To%ay most
lar&e or&ani(ations have some form of )no$le%&e
mana&ement initiative* 'any companies have
create% )no$le%&e teams an% appointe% C#s
8Chief #no$le%&e fficers9* #no$le%&e is firmly onthe strate&ic a&en%a*
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2hat is %nowledge3
Inormation is not %nowledge 4 That ecame
painfully clear %urin& the nformation 0&e $henor&ani(ations investe% heavily in information
technolo&y only to fin% themselves %ro$nin& in vast
in-house caches of meanin&less an% unuse% %ata*
No$ they are inun%ate% e.ternally $ith even moreme&a-tons of information, unfiltere% on-line*
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2hat is %nowledge3
Inormation is data 4 #no$le%&e has to %o $ith theprocess of un%erstan%in&, learnin& an% applyin&
information*
learning how is not li)e learning that
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2hat is %nowledge3
Knowledge is !eo!le5based 4 its information thathas een processe%, analy(e%, %istille% an%
pac)a&e% y the human min%*
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2hat is %nowledge3
Knowledge is hidden – in a top-%o$n an%fra&mente% or&ani(ational structure*
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2hat is %nowledge3
Knowledge is the result of learnin&, theinternali(ation of information an% e.perience*
#no$le%&e coul% e tacit or e.plicit*
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2hat is %nowledge3
6acit %nowledge 4 the personal )no$le%&e resi%ent$ithin the min%, ehavior an% perceptions of in%ivi%ual
memers of the or&ani(ation* ntuitive, e.periential,
ju%&mental an% conte.t sensitive, it may e %ifficult to
articulate*
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2hat is %nowledge3
7x!licit %nowledge – is the formal, recor%e%, or systematic )no$le%&e in the form
of scientific formulae, proce%ures, rules, or&ani(ational
archives, principles, etc*, an% can easily e accesse%,
transmitte%, or store% in computer files or har% copy*
– is co%ifie% an% articulate%* – is the capture% an% catalo&e% information an% is ma%e rea%y
for people to use
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(. "once!ts and !rocesses
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Objectives
to introduce related conce!ts, to describe the !rocesses.
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2hat are %nowledge assets3
Knowledge assets 4 also calle% intellectual capital,are the human, structural an% customer resources
available to the organization* 0ssets resi%e $ithin
the min%s of memers, customers, an% collea&ues
an% also inclu%e physical structures an% recor%e%
me%ia*
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2hat is Intellectual "a!ital 3
Intellectual "a!ital 4 the intan&ile assets of a
company not normally value% on the alance sheet*
t is rou&hly - ut not e.actly - the %ifference
et$een the mar)et an% oo) value of a company*
t is %ivi%e% into5
– human capital , – customer capital,
– structural capital *
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2hat is Intellectual "a!ital 3
8uman ca!ital 4 the competencies, )no$-ho$,capailities an% e.perience possesse% y
in%ivi%uals*
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2hat is Intellectual "a!ital 3
"ustomer ca!ital 4 a measure of the intan&ilevalue that accrues throu&h customer relationships,
inclu%in& si(e of customer ases, )no$le%&e of
customers an% their nee%s, an% relate% intellectual
property such as ran%s*
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2hat is Intellectual "a!ital 3
Structural ca!ital 4 a measure of the intan&ilevalue of the firm eme%%e% in its processes,
systems an% other non-human elements*
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Knowledge 4 a sustainable advantage
Knowledge – especially conte.t specific, tacit)no$le%&e eme%%e% in comple. or&ani(ational
routines an% %evelope% from e.periences – ten%s
to e unique an% difficult to imitate*
Unli)e many tra%itional resources, it is not easilypurchase% in the mar)et place, in a rea%y-to-use
form*
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"an %nowledge be managed3
Knowledge is lar&ely co&nitive an% hi&hlypersonal, $hile management involves
or&ani(ational processes* 'any )no$le%&e
$or)ers %o not li)e to e mana&e% in the tra%itional
sense*
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"an %nowledge be managed3
.ecutives are no$ confronte% $ith a very seriousimperative – the management of a completely
invisible asset – the )no$le%&e*
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2hat is %nowledge management3
Knowledge management is the explicit an%systematic mana&ement of vital knowledge an%
its associate% processes of creatin&, &atherin&,
or&ani(in&, %iffusion, use an% e.ploitation*
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9!!l0ing %nowledge management
Companies a%opt t$o roa% thrusts in applyin&
)no$le%&e mana&ement5 Sharing e.istin& )no$le%&e etter - ma)in& implicit
)no$le%&e more e.plicit an% puttin& in place
mechanisms to move it more rapi%ly to $here it is
nee%e%: Innovation - ma)in& the transition from i%eas to
commerciali(ation more effective*
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:rocess o %nowledge sharing
Knowledge sharing – is the human ehavior that
%escries the e.chan&e of )no$le%&e* 1harin& an%
learnin& are social activities an% may occur in face-
to-face meetin&s or via aural, $ritten or visual
stimuli* 0t least t$o people are reuire% for sharin&*
1harin& )no$le%&e is a positive activity in anor&ani(ation* Covetin& )no$le%&e is the opposite
of sharin&*
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:rocess o %nowledge creation
Knowledge creation – the process that results inne$ )no$le%&e, or or&ani(es current )no$le%&e in
ne$ $ays ma)in& techniues to use e.istin&
)no$le%&e*
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:rocess o innovation
Innovation – a mi.ture of process an% pro%uctoutputs that inclu%es ne$ or mo%ifie% pro%ucts an%
services, patents, ne$ mar)etin& techniues, ne$
mana&erial tools an% a%ministrative processes,
licenses, an% $i%er Athou&ht lea%ership
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:rocess o %nowledge elicitation
Knowledge elicitation – the process of elicitin&)no$le%&e from a human e.pert in or%er to co%ify it
into some form of e.plicit )no$le%&e ase or rule
ase% computer system 8expert system9*
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eerences
"* 0sh, *, A Short Course in Knowledge Management *
2* Cohen, 1*, Child Development : a study of the growth process, tasca, B, @** Peacoc)
Pulishers, "?="*
3* Covey, 1*R*, The Seven a!its of ighly "ffective #eople: restoring the character ethic ,Ne$ Eor), 1imon F 1chuster, "?>?*
/* Glasser, +*, Schools $ithout %ailure, Ne$ Eor), Harper F Ro$, "?7?*
6* Holt, *, ow Children &earn, Ne$ Eor), Pitman Pulishin& Corp*, "?7?*
7* Dell, Carla, ac)son Grayson, C*r*, 'f (nly $e Knew $hat $e Know: the transfer of
internal )nowledge and !est practice, Ne$ Eor), @ree Press, "??>*
=* Rosener&, '**, "*&earning: strategies for delivering )nowledge in the digital age,
Ne$Eor), 'cGra$-Hill, 2!!"*
>* 1)yrme, D**, Knowledge Management: ma)ing sense of an oxymoron, "??=*?* 1)yrme, D**, KM Terms, 2!!3-2!!>*
"!* 1oo, Christine, Devinney, T*, 'i%&ley, D*, Deerin&, 0nne, Knowledge Management:
#hilosophy, #rocesses, and #itfalls, California 'ana&ement Revie$, //8/9, 2!!2*
""* Iac), '*H* Developing a Knowledge Strategy , California 'ana&ement Revie$, /"839,
"???*
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6han% 0ou;
Ion Voicu Sucală – PhD
Technical University of Cluj-Napoca, Romania