Please use this identifier to cite or link to this item: https://repository.iimb.ac.in/handle/2074/10355
Title: Applications of uncertainty-based mental models in organizational learning: A case study in the indian automobile industry
Authors: Srinivas, V 
Shekar, B 
Keywords: Bayesian belief networks;Belief revision;Cognitive maps;Mental models;Organizational learning;Probabilistic networks;Stochastic simulation
Issue Date: 1997
Publisher: Elsevier Ltd
Abstract: This paper, we discuss the applicability of qualitative and quantitative reasoning techniques to study the process of Organizational Learning. We have used cognitive maps of a company (for the past five years) taken from the Indian automobile industry to understand the Organizational Learning process. We have conducted stochastic simulation experiment on an uncertainty-based cognitive map (the latest year). We generated scenarios for the future and analysed each scenario with respect to data obtained from the past fiveyears cognitive maps, in light of the theory on Organizational Learning. © 1997 Elsevter Science Ltd.
URI: http://repository.iimb.ac.in/handle/2074/10355
DOI: 10.1016/S0959-8022(97)80164-6
Appears in Collections:1990-1999

Files in This Item:
File SizeFormat 
Srinivas_AMIT_1997_Vol.7_Iss.2.pdf2.03 MBAdobe PDFView/Open    Request a copy
Show full item record

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.