Preface |
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15 | (6) |
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21 | (58) |
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Introduction to Knowledge Management |
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23 | (22) |
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23 | (1) |
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Knowledge: a strategic value for the firm |
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23 | (1) |
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23 | (1) |
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KM: a new and complex approach |
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24 | (1) |
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The two types of approaches to KM |
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24 | (7) |
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25 | (1) |
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Tacit knowledge elicitation |
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25 | (1) |
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26 | (1) |
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Supporting technologies for explicit (elicited) KM |
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27 | (1) |
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27 | (1) |
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The functioning modes of knowledge communities |
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28 | (1) |
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Knowledge community supervision |
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29 | (1) |
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Supporting technologies for knowledge communities |
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30 | (1) |
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The key factors of success in KM processes |
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31 | (4) |
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31 | (2) |
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33 | (1) |
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The federation of KM projects |
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33 | (1) |
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34 | (1) |
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34 | (1) |
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KM: an action for continuous progress |
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35 | (6) |
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36 | (1) |
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The repository of KM processes |
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37 | (2) |
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39 | (2) |
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Piloting processes and actions |
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41 | (1) |
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41 | (1) |
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42 | (3) |
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Can One Identify and Measure the Intangible Capital of the Enterprise? |
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45 | (20) |
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The intangible capital: an essential and elusive concept |
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47 | (7) |
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Immaterial measurement: a theoretical enigma? |
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54 | (8) |
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62 | (1) |
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63 | (2) |
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Complexity Theory: Dynamics and Non-Linearity are the Only Reason for Knowledge Management to Exist |
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65 | (14) |
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65 | (1) |
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66 | (2) |
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68 | (5) |
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What should be understood by KM: the corporate view |
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73 | (2) |
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Research perspective on KM |
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75 | (2) |
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77 | (2) |
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79 | (102) |
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Value Creation through Intangibles: Emerging Good Practice |
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81 | (22) |
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81 | (2) |
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83 | (1) |
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Dispensing with the mystery |
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84 | (4) |
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Value creation in the 21st century |
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88 | (2) |
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88 | (2) |
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90 | (1) |
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Evidence of good practice |
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90 | (9) |
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91 | (1) |
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91 | (1) |
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92 | (1) |
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93 | (1) |
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93 | (1) |
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The UK Fire & Rescue Service |
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94 | (1) |
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95 | (1) |
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95 | (1) |
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96 | (1) |
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Theme 4: reporting intellectual capital |
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97 | (1) |
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Austrian Research Centers (ARC) |
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97 | (1) |
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98 | (1) |
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99 | (1) |
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100 | (1) |
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101 | (2) |
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Learning-by-Doing Knowledge Externalization: From Boundary Objects to the Emergence of Tacit Knowledge |
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103 | (12) |
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104 | (1) |
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A process of externalization: knowledge strategy at Power Corp |
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105 | (3) |
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Mapping as a knowledge audit and mapping as scenario planning |
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107 | (1) |
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Criticality assessment scales as decision rules |
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107 | (1) |
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Modeling as a learning tool, as co-creation of knowledge |
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107 | (1) |
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Plans as road maps addressing more specifically the need for tacitness |
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108 | (1) |
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The tacit output of externalization: the importance of boundary objects |
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108 | (3) |
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Externalization creates critical boundary objects |
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109 | (1) |
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Refining the classical definition of tacit knowledge |
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109 | (1) |
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110 | (1) |
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110 | (1) |
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110 | (1) |
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111 | (1) |
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Conclusions and lessons learned |
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111 | (1) |
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112 | (3) |
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Approaches and Methods for Valuing Knowledge Management Performance |
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115 | (16) |
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KM performance: the aims of an evaluation |
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116 | (3) |
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The knowledge-based view: a theoretical relation between KM and organizational performance |
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116 | (1) |
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What is performance for KM? |
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117 | (1) |
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118 | (1) |
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Method of research and inquiry |
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119 | (1) |
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Macro-organizational approaches to valuing KM performance |
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119 | (3) |
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The competitive performance of KM |
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120 | (1) |
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The financial performance of KM |
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121 | (1) |
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Micro-organizational approaches to valuing KM performance |
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122 | (2) |
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The process-based approach to the performance of KM |
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122 | (1) |
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The systemic approach to the performance of KM |
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123 | (1) |
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124 | (1) |
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124 | (7) |
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ICIS for Knowledge Management: The Case of the Extended Enterprise |
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131 | (18) |
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131 | (1) |
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132 | (3) |
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Inter-company co-operation and the extended enterprise |
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132 | (1) |
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132 | (3) |
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135 | (3) |
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138 | (6) |
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138 | (1) |
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139 | (1) |
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140 | (1) |
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141 | (1) |
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142 | (1) |
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143 | (1) |
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144 | (1) |
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145 | (1) |
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146 | (1) |
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147 | (1) |
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147 | (2) |
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Knowledge Management and Environment Scanning: A Methodological Guide to Improving Information Gathering |
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149 | (22) |
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149 | (1) |
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Modeling of the interaction process between the corporate knowledge of the firm and its environment |
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150 | (1) |
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151 | (2) |
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Requirements specification for environment scanning |
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151 | (1) |
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Description of the approach |
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151 | (2) |
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153 | (4) |
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154 | (1) |
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Methodological tools for MASK application |
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154 | (1) |
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Classification of the knowledge to be modeled according to the type of environment scanning |
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155 | (2) |
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157 | (1) |
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157 | (8) |
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Construction of a partition |
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159 | (1) |
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Methodological tools for the elaboration of a partition |
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159 | (1) |
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The grid of criteria for the grouping of the models into classes |
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159 | (2) |
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The grid of semantic links |
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161 | (1) |
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Renault case study: an example of grouping by connectivity |
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162 | (1) |
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Extraction and grouping of information into classes |
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162 | (1) |
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163 | (1) |
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Qualitative evaluation grid for the criticality of themes |
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163 | (1) |
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Approach and illustration |
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163 | (1) |
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Construction of the visual synthesis |
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164 | (1) |
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Elaboration of the ``environment scanning focus'' |
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165 | (2) |
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Evaluation of our approach |
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167 | (1) |
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167 | (1) |
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168 | (3) |
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The Concept of ``Ba'' within the Japanese Way of Knowledge Creation |
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171 | (10) |
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172 | (1) |
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``Elementary, my dear Watson!'' |
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173 | (3) |
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The Human Health Care (HHC) program |
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176 | (2) |
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Shaping a new way of functioning for organizations |
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178 | (1) |
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179 | (1) |
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179 | (2) |
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PART 3. Club Workshop Studies |
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181 | (62) |
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The Knowledge Maturity Model |
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183 | (14) |
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183 | (1) |
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Work methodology of the commission on ``Aspects economiques de la gestion des connaissances'' (economic aspects of KM) |
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184 | (2) |
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The Knowledge Maturity Model (KMM) |
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186 | (2) |
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188 | (5) |
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Raising consciousness about KM |
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188 | (2) |
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Evaluation of a community's maturity in terms of KM |
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190 | (1) |
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190 | (2) |
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192 | (1) |
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193 | (1) |
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194 | (1) |
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195 | (2) |
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Knowledge Mapping: A Strategic Entry Point to Knowledge Management |
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197 | (22) |
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Why map corporate knowledge? |
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197 | (2) |
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What knowledge and competencies should be mapped? |
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199 | (3) |
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How is knowledge/competency mapping performed? |
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202 | (7) |
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Defining the mapping goal |
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202 | (1) |
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202 | (1) |
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Conceptual approach to identifying knowledge |
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203 | (1) |
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Process-based approach to identifying knowledge |
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204 | (1) |
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Identifying knowledge using automatic mapping tools |
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205 | (1) |
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Building the areas of the knowledge map |
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205 | (1) |
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Representing knowledge: the area-based mapping model |
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206 | (1) |
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206 | (2) |
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208 | (1) |
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What are the operational uses and mapping tools? |
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209 | (1) |
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Knowledge mapping and criticality study |
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210 | (5) |
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210 | (1) |
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The criticality study as risk assessment |
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210 | (1) |
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Defining critical factors |
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211 | (1) |
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Preparing an assessment schedule and performing the criticality study |
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212 | (1) |
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Calculating area criticality |
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213 | (1) |
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Different critically average values |
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213 | (1) |
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214 | (1) |
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Non-discriminating criterion |
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214 | (1) |
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215 | (1) |
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How to manage a mapping project |
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215 | (1) |
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215 | (1) |
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215 | (1) |
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216 | (1) |
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216 | (1) |
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216 | (3) |
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Knowledge Management and Innovation (Innovation Maturity Model) |
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219 | (8) |
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219 | (1) |
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The evolution and path dependence hypothesis |
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220 | (1) |
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221 | (3) |
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221 | (1) |
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The Innovation Maturity Model (IMM) |
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221 | (3) |
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224 | (1) |
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225 | (2) |
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Technology and Knowledge Management (Technology Maturity Model) |
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227 | (16) |
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227 | (1) |
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Knowledge diffusion vehicle |
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228 | (3) |
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The limits of the diffusion of knowledge |
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231 | (4) |
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The need for global vision |
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235 | (1) |
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The Technology Maturity Model (TMM) |
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236 | (1) |
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237 | (2) |
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239 | (3) |
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242 | (1) |
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243 | (50) |
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Once-upon-a-time Knowledge Management at Mann+Hummel Automotive France |
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245 | (12) |
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The increasing importance of knowledge sharing for Mann+Hummel France |
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245 | (1) |
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An approach based on core knowledge cartography |
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246 | (6) |
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What are the needs of the employees? |
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246 | (1) |
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A cartography that allows us to build an action plan |
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247 | (3) |
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Actions from the Nonaka virtuous circle |
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250 | (2) |
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A well appreciated approach |
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252 | (1) |
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Implementation of lessons learned |
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252 | (1) |
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253 | (1) |
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Sharing of explicit knowledge |
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254 | (1) |
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Direct transfer of knowledge |
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255 | (1) |
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KM: an everyday task based on people more than on technology |
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255 | (2) |
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Thales System Engineering Community of Practice: A Knowledge Management Approach |
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257 | (12) |
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257 | (1) |
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The knowledge sharing approach |
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258 | (1) |
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The Systems Engineering Community of practice at Thales |
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259 | (1) |
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Why is there a KM portal dedicated to the Systems Engineering Community? |
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260 | (2) |
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The Systems Engineering portal |
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262 | (3) |
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Functionalities supporting SE community animation and management |
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262 | (1) |
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Functionalities supporting access to SE community people and competencies |
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263 | (1) |
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Functionalities supporting access to documents and other kinds of content |
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263 | (2) |
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265 | (1) |
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The associated support organization |
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265 | (1) |
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266 | (1) |
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267 | (2) |
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Appraising the Knowledge in a Radio-pharmacy Center based on Process Mapping and Knowledge Domain Cartography |
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269 | (12) |
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Antonio Carlos De Oliveira Barroso |
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269 | (1) |
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The importance of knowledge identification and evaluation within organizations |
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270 | (1) |
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270 | (5) |
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History and context of the Radio-pharmacy Center |
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270 | (2) |
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The Center profile and key comments on its knowledge issues |
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272 | (3) |
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275 | (4) |
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275 | (1) |
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Knowledge identification (``enabling knowledge'') |
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275 | (1) |
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Construction of the knowledge cartography |
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276 | (1) |
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277 | (2) |
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Setting up a KM plan of action |
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279 | (1) |
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279 | (2) |
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Case Study: Knowledge Preservation for a Nuclear Reactor |
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281 | (12) |
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281 | (1) |
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282 | (1) |
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282 | (7) |
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282 | (1) |
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Different approaches to the map |
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283 | (1) |
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Identification of knowledge axes |
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284 | (1) |
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Identification of the critical knowledge: approaches |
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285 | (1) |
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Rare or unable of replacement |
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285 | (1) |
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Usefulness for the company |
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285 | (1) |
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286 | (1) |
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286 | (1) |
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Building the knowledge map |
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287 | (1) |
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287 | (2) |
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Technical development: analysis factors |
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289 | (2) |
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Knowledge transfer and capitalization |
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289 | (1) |
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290 | (1) |
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291 | (1) |
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291 | (1) |
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292 | (1) |
The Authors |
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293 | (2) |
Index |
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295 | |