Enhancing Performance in Virtual Knowledge Networks: A Community Engineering Approach

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BoD – Books on Demand, 2004 - 264 стор.
With the transformation from an industrial to an information-based society, corporations are required more than ever to utilize all their employees' knowledge to keep up with market demands. Therefore, personal informal networks and communities are becoming the major information resource in addition to the classical handbooks and document management systems containing highly structured information objects. Many technically sophisticated systems for document and content management have been designed to assist knowledge workers in exchanging information and expertise, but in most cases they fail to meet expectations. This book presents one possible solution to assist network organizers in designing informal knowledge networks by introducing a model and a software toolset to improve decision support. The model, based on findings from computational organization theory and social network analysis, extends the existing explanatory research, and allows for developing appropriate strategies of community engineering and anticipating the potential impacts on organizational performance before taking action.
 

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INTRODUCTION 1 1 1 MOTIVATION
1
structure of the thesis
4
formal and informal communication
8
formal and informal networks CrossParkerBorgatti 2002
9
time space taxonomy EllisGibbsRein 1991
12
semantics
15
911 hijackers network neighborhood Krebs 2002
32
misreporting single
35
results of early experiments Shaw 1964
120
SIMULATING KNOWLEDGE
127
relationshipvector
128
problem information need
129
sending requests
130
maximum capacity for requests
131
problemsolving act
132
forwarding calculus
133

misreporting cumulated
36
experimental laboratory setting Leavitt 1951
37
QAP analysis of correlation between communication media
41
pseudonymity
44
Lufthansa casebycase matrix
45
levels of measurement in relational data Scott 2000 47
46
Lufthansa case graph
47
Lufthansa case linked list
48
SDD Intranet Desktop view
55
observed network graphs by communication channel
57
selfassessment of personality traits team aggregate mean values
60
did you find someone to be the leader of your team?
62
measures for the egonetworks across communication channels
63
correspondence of ego and sociocentric betweenness and effective size
64
peertopeer ratings of team performance
65
intra and interteam communication aggregated
66
interaction within and between teams frequencies
67
outward communication ratio externalinternal communication 67 Table 15 betweenness measures for the project teams
68
performance measures
74
team organization and prior know each otherrelations 61 Figure 14 four step community engineering process
80
engineering mechanisms
81
extended community engineering process
82
community engineering matrix
85
Netgraph of communications Henn 1995
87
conceptualization of corporate culture KotterHeskett 1992 5
91
employees rules at Disneyland Van Maanen 1985
93
A CONCEPTIONAL MODEL
96
EQUATIONS
98
traditional vs computational organizational theory research process MongeContractor 2003
100
Lufthansa knowledge network extended
104
density table Lufthansa knowledge network
105
indicators of redundancy Burt 1992
106
the Kula exchange Leigh 2003
109
mutual reciprocity
110
stereotypical network structures Shaw 1964
113
centrality measures for Lufthansa network
117
knowledge quotient KQ
134
search hops quotient
135
types of unavailability
141
exponential and scalefree networks
143
realworld networks AlbertJeongBarabasi 2000
144
degree distribution of email network EbelMielschBornholdt 2003
145
fault and terror tolerance AlbertJeongBarabasi 2000
147
EMPIRICAL EVIDENCE
151
components within email graph
154
email network original network
156
degree of email network original network
160
degree distribution original network
161
effectiveness original network
165
KQ period original network
166
avg KQ period original network
167
efficiency original network
168
sensitivity analysis MC
169
sensitivity analysis Tp
170
sensitivity analysis Z
171
sensitivity analysis P all runs
172
effectiveness closure network
179
efficiency closure network
180
random network
183
effectiveness random network
184
networks summary
185
fault and errortolerance original network
188
fault and errortolerance all runs
189
fault tolerance SHSolutions
190
faulttolerance var durations
191
attacktolerance var durations
192
degree distribution closure network
193
fault and errortolerance closure network
194
degree distribution random network
195
SUMMARY
202
FURTHER RESEARCH 205 REFERENCES
214
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