1. A Study of Incentive Mechanisms for Organizational Knowledge Creation Aditi Mukherjee Purdue University

2. 10 Dec 2006, Milwaukee, WIPre-ICIS 2006: SIG-DSS Research Workshop2 Introduction Identify incentive mechanisms for improving organizational learning and knowledge sharing using knowledge management systems –Different types of knowledge (tacit & explicit) –Different knowledge management strategies (codification & personalization) –Different organizational cultures (sharing vs. hoarding)

3. 10 Dec 2006, Milwaukee, WIPre-ICIS 2006: SIG-DSS Research Workshop3 A Model for Organizational Learning Focal MemberLocal NetworkDistant Network Local Interpersonal Learning Distant Interpersonal Learning Organization Code Organization Members Environment Complexity Learning from the code Learning by the code Learning From/By Code Interpersonal Learning

4. 10 Dec 2006, Milwaukee, WIPre-ICIS 2006: SIG-DSS Research Workshop4 A Model for Organizational Learning Culture Individual Learning from Code: p1 Interpersonal Local Learning Rate: p3 Interpersonal Distant Learning Rate: p4 Policies Code Learning Rate: p2 Frequency of code updates: τ Size of local network Size of entire network Environmental Context Environment complexity: m Environment tacitness: q

5. 10 Dec 2006, Milwaukee, WIPre-ICIS 2006: SIG-DSS Research Workshop5 Incentive Mechanisms Universal Contribution –Everybody contributes towards updating the code Filtered Contribution –Periodical updating of code by best performing organization members Communities of Practice –Self organization by members Discussion Forums –Organization wide knowledge sharing

6. Preliminary Analysis & Results

7. 10 Dec 2006, Milwaukee, WIPre-ICIS 2006: SIG-DSS Research Workshop7 Universal Contribution vs. Filtered Contribution Effect of Individual Learning from Code (p1) and Code Learning Rate (p2) TimeCode Knowledge Low p1High p1 Universal Contribution Filtered Contribution

8. 10 Dec 2006, Milwaukee, WIPre-ICIS 2006: SIG-DSS Research Workshop8 Universal Contribution vs. Filtered Contribution Effect of Individual Learning from Code (p1), Code Learning Rate (p2), and Interpersonal Local Learning (p3) High p1, High p3 Low p1, Low p3 High p1, Low p3 Low p1, High p3 Filtered Contribution High p1, High p3 Low p1, Low p3 High p1, Low p3 Low p1, High p3 Universal Contribution Average KnowledgeTime

9. 10 Dec 2006, Milwaukee, WIPre-ICIS 2006: SIG-DSS Research Workshop9 Communities of Practice vs. Discussion Forums Effect of Interpersonal Local Learning Rate (p3) and Distant Learning Rate (p4) on Time Communities of Practice Discussion Forums Time

10. 10 Dec 2006, Milwaukee, WIPre-ICIS 2006: SIG-DSS Research Workshop10 Communities of Practice vs. Discussion Forums Effect of Interpersonal Local Learning Rate (p3) and Distant Learning Rate (p4) on Tacit Knowledge Low p4High p4 Communities of Practice Discussion Forums Low p3High p3 Communities of Practice Discussion Forums Tacit Knowledge

11. 10 Dec 2006, Milwaukee, WIPre-ICIS 2006: SIG-DSS Research Workshop11 Communities of Practice vs. Discussion Forums High p1, High p2 Low p1, Low p2 High p1, Low p2 Low p1, High p2 Discussion Forums Communities of Practice High p1, High p2 Low p1, Low p2 High p1, Low p2 Low p1, High p2 Explicit Knowledge Effect of Individual Learning from Code (p1), Code Learning Rate (p2), Interpersonal Local Learning Rate (p3) and Distant Learning Rate (p4) on Explicit Knowledge

12. 10 Dec 2006, Milwaukee, WIPre-ICIS 2006: SIG-DSS Research Workshop12 Future Research Questions What knowledge management strategies are most suited for dynamic external environments ? What knowledge management strategies are most suited for dynamic organizational environments ? What are the most economically optimal knowledge management strategies for different organization structures and external environments ?