Management of operational risk is of prime importance in riskmanagement for commercial banks, and many theoretical and practical studies of operational risk management have been carried out. Conditional value-at-risk (CVaR) models based on the peak value method of extreme value theory are used here tomeasure operational risk. Loss data for commercial banks are used in an empirical analysis. Tes...

OBJECTIVES Systematic reviews on complex interventions like self-management interventions often do not explicitly state an operational definition of the intervention studied, which may impact the review's conclusions. This study aimed to propose an operational definition of self-management interventions and determine its discriminative performance compared with other operational definitions. ...

The business unit level operational risk manager is responsible for measuring, recording, predicting, communicating and controlling operational risks within their organizational units. In support of the risk manager’s role, Bayesian networks have been recommended as a tool for operational risk management. In this research, we describe the development of a Bayesian network model for predicting o...

in vietnam, municipal solid waste (msw) has being become increasing complex due to variety of reasons as the increasing quantity, changing composition of msw, rising public awareness and municipal administration policies among different cities and surrounding communities. there is not currently an efficient management system in place for facilities such as storage, collection, transfer, transpo...

Tactical Management is an area where businesses can pursue competitive advantage. Lately, it has been under-addressed and even ingested by operational and strategic trends in Management and Information Systems. It needs adaptability as managerial way of thinking and acting along with proper information requirements recognition, in order for the person performing the tactical management function...