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Social and Behavioral Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Business Administration, Management, and Operations

2020

Risk management

Articles 1 - 2 of 2

Full-Text Articles in Social and Behavioral Sciences

Risk Management In The Indonesian Archival Institution, Dyah Srirahayu, Endang Fitriyah Mannan, Ria Triwastuti Jan 2020

Risk Management In The Indonesian Archival Institution, Dyah Srirahayu, Endang Fitriyah Mannan, Ria Triwastuti

Library Philosophy and Practice (e-journal)

An archival institution is one of the institutions that functions as an organization that does not have a priceless archive rescue organization. Like other organizations, archival institutions also experience risks that will affect their operational processes or important records they manage. The purpose of risk management is to minimize the failure received by the institution due to existing risks. This study is to understand how the conditions of risk management in archival institutions, the risks they face and the impacts that occur. This study also aims to map risks in archival institutions ranging from mild to severe impacts, so that …


Shipbuilding Supply Chain Framework And Digital Transformation: A Project Portfolios Risk Evaluation, Rafael Diaz, Katherine Smith, Rafael Landaeta, Antonio Padovano Jan 2020

Shipbuilding Supply Chain Framework And Digital Transformation: A Project Portfolios Risk Evaluation, Rafael Diaz, Katherine Smith, Rafael Landaeta, Antonio Padovano

VMASC Publications

Program portfolio managers in digital transformation programs have a need for knowledge that can guide decisions related to the alignment of program investments with the sustainability and strategic objectives of the organization. The purpose of this research is to illustrate the utility of a framework capable of clarifying the cost-benefit tradeoffs stemming from assessing digitalization program investment risks in the military shipbuilding sector. Our approach uses Artificial Neural Network to quantify benefits and risks per project while employing scenario analysis to quantify the effects of operational constraints. A Monte Carlo model is used to generate data samples that support the …