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Using web analytics data: A participatory design model for individual web traffic report development

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

Abstract

Web Analytics (WA) tools offer an increasing amount of analysis options. This amount of possible data overwhelm business users who are not familiar with WA and therefore the potential of WA is not fully exploited. We address this demand of individual information needs with the development of an indicator selection process. By using participatory design methods future users from different business units are involved in order to adopt WA into their workspace through building individual WA reports. The developed iterative model consists of five main steps. After the presentation of the developed model, we demonstrate the applicability in a case study at an industrial company. The case study shows a greater adoption by the different users, as the dashboards are individually tailored to them.

Original languageEnglish
Title of host publicationAMCIS 2019 Proceedings. 21.
Subtitle of host publicationADOPTION AND DIFFUSION OF INFORMATION TECHNOLOGY (SIGADIT)
Publication statusPublished - 2019
Event25th Americas Conference on Information Systems, AMCIS 2019 - Cancun, Mexico
Duration: 15 Aug 2019 → 17 Aug 2019

Conference

Conference25th Americas Conference on Information Systems, AMCIS 2019
Country/TerritoryMexico
CityCancun
Period15 Aug 2019 → 17 Aug 2019

Keywords

  • Individual technology Adoption
  • Participatory design
  • Web analytics key performance indicators
  • Web traffic report development

ASJC Scopus subject areas

  • Information Systems

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