Strategic Modeling To Improve Services And Operation To Energy Industries' Customers

dc.creatorFroes Lima
dc.creatorCarlos Alberto; Luz
dc.creatorBernardo Marega; Takemoto
dc.creatorSilvia Tamada; Barisson
dc.creatorPaulo
dc.creatorJr.; Terencio Tezzin
dc.creatorRoberto Antonio; Peres
dc.creatorLuciano E. A.; Anarelli
dc.creatorTales Neves; da Silva
dc.creatorAndrea Florencio
dc.date2016
dc.datenov
dc.date2017-11-13T13:54:36Z
dc.date2017-11-13T13:54:36Z
dc.date.accessioned2018-03-29T06:08:03Z
dc.date.available2018-03-29T06:08:03Z
dc.identifierJournal Of Business Research . Elsevier Science Inc, v. 69, p. 4862 - 4869, 2016.
dc.identifier0148-2963
dc.identifier1873-7978
dc.identifierWOS:000383936800024
dc.identifier10.1016/j.jbusres.2016.04.044
dc.identifierhttp://www-sciencedirect-com.ez88.periodicos.capes.gov.br/science/article/pii/S0148296316302077?via%3Dihub
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/329447
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1366472
dc.descriptionContinuous analyses of demanded,services at the energy companies are the shortest path to recognize and anticipate customers' requests, reinforce and manage the communication and operational flows. Energy utilities need to increase their operational efficiency concerning costs and agility to improve useful media and evaluate customers' expectations and requirements. Operational effectiveness must pursue the demands, considering the amount of services that the companies provide at their relationship channels, the communication facilities and the systems' infrastructure. The companies need to organize a huge amount of historical and online data to represent and forecast customers' relationship scenarios. Resources evaluation ensure regional requirements and weather conditions best attendance response, adequately addressing faults at the energy distribution grid, motivate customers to use alternative media and improve relationship channels. Reaching this scenario, big data treatment techniques provide the necessary agility to achieve the monthly/hourly volume of data (millions of registers per month) and permit communication clusters' views. (C) 2016 Elsevier Inc. All rights reserved.
dc.description69
dc.description11
dc.description4862
dc.description4869
dc.languageEnglish
dc.publisherElsevier Science INC
dc.publisherNew York
dc.relationJournal of Business Research
dc.rightsfechado
dc.sourceWOS
dc.subjectCustomers' Attendance
dc.subjectOperational Improvement
dc.subjectCustomers' Demands Anticipation
dc.subjectRelationship
dc.subjectAttendance Strategies
dc.titleStrategic Modeling To Improve Services And Operation To Energy Industries' Customers
dc.typeArtículos de revistas


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