Information and competitive strategy in a networked economy

>One of the transformative changes over the past decade has been the way networks have enabled the distributed generation of value and how businesses and organizations have managed to capture a portion of this value. This has resulted in a plethora of innovative business ideas and new strategies....

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Bibliographic Details
Main Authors: KAUFFMAN, Robert J., WEBER, Thomas A., WU, D. J.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2012
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Online Access:https://ink.library.smu.edu.sg/sis_research/1753
https://ink.library.smu.edu.sg/context/sis_research/article/2752/viewcontent/Special_Section_Information_and_Competitive_Strategy_in_a_Networked_Economy.pdf
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Institution: Singapore Management University
Language: English
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Summary:>One of the transformative changes over the past decade has been the way networks have enabled the distributed generation of value and how businesses and organizations have managed to capture a portion of this value. This has resulted in a plethora of innovative business ideas and new strategies. The present special section deals with the incentives for distributed content generation; counterintuitive network effects in the security software market, which features an intrinsic negative externality; and the possibility for collaboration between different platforms in a two-sided market. The included papers offer an interesting mix of theoretical and practical insights. All of the contributions are rooted in practical applications and present field observations that are instantiated in a microeconomic model to allow out-of-sample predictions about the mechanisms at hand. Such a data-driven and at the same time model-based approach is ideal to develop counterintuitive insights for competitive strategy; the insights become logical consequences of the assumptions in the model- based analysis. The tools vary from network analysis, structural dynamic estimation techniques and dynamic programming, to game-theoretic modeling.