• DocumentCode
    3148565
  • Title

    Towards an Automated Gap Analysis for E-Service Portfolios

  • Author

    May, Norman ; Scholten, Ulrich ; Fischer, Robin

  • Author_Institution
    SAP AG, Walldorf, Germany
  • fYear
    2011
  • fDate
    4-9 July 2011
  • Firstpage
    274
  • Lastpage
    281
  • Abstract
    Intermediaries for e-services continuously gain momentum, powered by a materializing Internet of Services. However, quality of service still exhibits considerable shortcomings, as no structured process to enhance consumer satisfaction is available yet. To improve the match of delivered e-service quality and expected service quality on the consumer side, we develop a portfolio optimization process that integrates both, the consumer´s as well as the intermediary´s perspective. First, we introduce a toolkit for an e-service oriented gap analysis. Thereupon, we identify monitoring points to measure service quality gaps automatically. A subsequent aggregation of measured data into customized feedback information allows for applying the toolkit to continuously optimize e-service portfolios. Instantiated in the AGORA e-service market, we conclude with a report on our recent implementation results.
  • Keywords
    Internet; customer satisfaction; investment; marketing data processing; optimisation; quality of service; AGORA e-service market; Internet of services; automated gap analysis; consumer satisfaction; customized feedback information; e-service portfolios; e-service quality; portfolio optimization process; quality of service; Monitoring; Ontologies; Optimization; Portals; Portfolios; Quality of service; Unified modeling language; control theory; e-services; explicit feedback; gap analysis; implicit; intermediaries; portfolio optimization; quality of service;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services Computing (SCC), 2011 IEEE International Conference on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4577-0863-3
  • Electronic_ISBN
    978-0-7695-4462-5
  • Type

    conf

  • DOI
    10.1109/SCC.2011.93
  • Filename
    6009271