S
Sasanka Sekhar Chanda
Researcher at Indian Institute of Management Indore
Publications - 17
Citations - 50
Sasanka Sekhar Chanda is an academic researcher from Indian Institute of Management Indore. The author has contributed to research in topics: Organizational learning & Computer science. The author has an hindex of 4, co-authored 15 publications receiving 43 citations.
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Optimal exploration and exploitation: the managerial intentionality perspective
TL;DR: This study investigates organizational outcomes when such predictions are not possible and managers intentionally focus their firm on either exploratory or exploitative innovation, and finds that multiple exploration–exploitation combinations lead to equivalent, maximum organizational knowledge.
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Inferring final organizational outcomes from intermediate outcomes of exploration and exploitation: the complexity link
TL;DR: It is argued that the probability of correctly fashioning the subset of key elements in the intermediate output may be a good measure of the likelihood of organizational success, and uses March’s iconic computational simulation model to demonstrate this principle.
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Learning from Project Failure: Globalization Lessons for an MNC
TL;DR: In this article, a multinational corporation's (MNC) failure in implementing a firmwide information technology system (ITS) project was studied. But since the HQ personnel lacked nuanced understanding of the micro issues in the subsidiaries, their design efforts turned out to be inadequate.
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Replicating agent-based models: Revisiting March’s exploration–exploitation study:
TL;DR: A two-step method of model verification is suggested—beginning with replicating the model from the published description, then turning to the program code of the original implemented model to account for divergent results.
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Back to the basics: reconciling the continuum and orthogonal conceptions of exploration and exploitation
TL;DR: It is demonstrated that the continuum conception concerns leveraging an organization’s internal knowledge heterogeneity where managers use their prior knowledge and experiences to formulate actions to attain the maximum possible extent of organizational knowledge at equilibrium.