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Service Model Based on Information Technology Outsourcing for the Reduction of Unfulfilled Orders in an SME of the Peruvian IT Sector

  • Renato Bobadilla
  • , Alejandra Mendez
  • , Gino Viacava
  • , Carlos Raymundo
  • , Javier M. Moguerza
  • Universidad Peruana de Ciencias Aplicadas
  • Universidad Rey Juan Carlos

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

2 Scopus citations

Abstract

In the current market, small- and medium-sized companies (SMEs) face losses due to poor process control. The core activities of information technology (IT) outsourcing service companies are to provide outsourcing services related to technology and information control, which is why it is crucial to work with standardized, efficient processes, to not affect the main process and resources involved. In this document, a case study of an SME is evaluated, related to a deficient billing process, which is not able to fulfill all of its orders. To solve the problem, we propose an IT outsourcing service model, based on the management of processes, knowledge, and change. After the model was validated, it was evidenced that it allowed the integration and finalization of the services provided by the company, increasing the monthly income by 80%.

Original languageEnglish
Title of host publicationAdvances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE International Conference on Human Factors in Artificial Intelligence and Social Computing, the AHFE International Conference on Human Factors, Software, Service and Systems Engineering, and the AHFE International Conference of Human Factors in Energy, 2019
EditorsTareq Ahram
PublisherSpringer Verlag
Pages311-321
Number of pages11
ISBN (Print)9783030204532
DOIs
StatePublished - 2019
EventAHFE International Conference on Human Factors in Artificial Intelligence and Social Computing, the AHFE International Conference on Human Factors, Software, Service and Systems Engineering, and the AHFE International Conference of Human Factors in Energy, 2019 - Washington D.C., United States
Duration: 24 Jul 201928 Jul 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume965
ISSN (Print)2194-5357

Conference

ConferenceAHFE International Conference on Human Factors in Artificial Intelligence and Social Computing, the AHFE International Conference on Human Factors, Software, Service and Systems Engineering, and the AHFE International Conference of Human Factors in Energy, 2019
Country/TerritoryUnited States
CityWashington D.C.
Period24/07/1928/07/19

Keywords

  • 5S management
  • Change management
  • Knowledge management
  • Process management
  • Service models based on IT outsourcing

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