{"title":"通过模拟环境开发对服务质量的操作性理解","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":"{\"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}","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}
Developing operational understanding of service quality through a simulation environment
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...