A Methodological Proposal for Managing Operational Risk by Integrating Agility

Eduardo Recabarren-Domínguez, Felipe A. López, Fermín Ferriol, Gustavo Gatica

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Today’s processes are dynamic, in particular how customers purchase products and/or services from financial institutions. Therefore, organizations face the challenge of establishing business strategies focused on the customer and building long-lasting relationships. This implies accelerating the needs of a digital transformation both toward the customer and in internal processes. A framework for risk management, applicable to digital transformation projects, is presented under an agile approach to manage and manage operational risks. Thus, through a methodology based on the application of a set of Scrum best practices, it is integrated into the current risk management tools of a banking institution. The results are scalable and extensible to Financial and Governmental Institutions.

Original languageEnglish
Title of host publicationDevelopments and Advances in Defense and Security - Proceedings of MICRADS 2021
EditorsÁlvaro Rocha, Carlos Hernan Fajardo-Toro, José María Riola Rodríguez
PublisherSpringer Science and Business Media Deutschland GmbH
Pages319-325
Number of pages7
ISBN (Print)9789811648830
DOIs
Publication statusPublished - 2022
EventMultidisciplinary International Conference of Research Applied to Defense and Security, MICRADS 2021 - Cartagena, Colombia
Duration: 17 Aug 202119 Aug 2021

Publication series

NameSmart Innovation, Systems and Technologies
Volume255
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Conference

ConferenceMultidisciplinary International Conference of Research Applied to Defense and Security, MICRADS 2021
Country/TerritoryColombia
CityCartagena
Period17/08/2119/08/21

Keywords

  • Agile methodology
  • Digital transformation
  • Operational risk
  • Risk management
  • Scrum methodology

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Computer Science(all)

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