{"title":"Developing operational understanding of service quality through a simulation environment","authors":"Rogelio Oliva, Michael Bean","doi":"10.1108/09564230810869711","DOIUrl":null,"url":null,"abstract":"Purpose – The purpose of this paper is to articulate the challenges of learning and improving in service delivery systems – that present managers with imperfect information, confounded variables, and tightly coupled interactions between operational and psychological factors – and present a simulator to assist managers to overcome these challenges.Design/methodology/approach – After reviewing the literature on “learning from simulations” and the main challenges of learning in a service environment, the paper presents the assumptions underlying the service quality management simulator, its interface, and protocols to use it that have proven effective.Findings – It is possible to assist managers to develop operational understanding – what to do, when and how much of it to do – about the drivers of service quality using a simulation environment.Research limitations/implications – In its present form, the simulator only takes a functional definition of service quality and captures the relationships in a busine...","PeriodicalId":102812,"journal":{"name":"International Journal of Service Industry Management","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Service Industry Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/09564230810869711","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 24
Abstract
Purpose – The purpose of this paper is to articulate the challenges of learning and improving in service delivery systems – that present managers with imperfect information, confounded variables, and tightly coupled interactions between operational and psychological factors – and present a simulator to assist managers to overcome these challenges.Design/methodology/approach – After reviewing the literature on “learning from simulations” and the main challenges of learning in a service environment, the paper presents the assumptions underlying the service quality management simulator, its interface, and protocols to use it that have proven effective.Findings – It is possible to assist managers to develop operational understanding – what to do, when and how much of it to do – about the drivers of service quality using a simulation environment.Research limitations/implications – In its present form, the simulator only takes a functional definition of service quality and captures the relationships in a busine...