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Understanding Decision-Making in Data Warehousing and Related Decision Support Systems: An Explanatory Study of a Customer Relationship Management Application

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  • John D. Wells

    (Washington State University, USA)

  • Traci J. Hess

    (Washington State University, USA)

Abstract

Many businesses have made or are making significant investments in data warehouses that reportedly support a myriad of decision support systems (DSS). Due to the newness of data warehousing and related DSS (DW-DSS), the nature of the decision support provided to DW-DSS users and the related impact on decision performance have not been investigated in an applied setting. An explanatory case study was undertaken at a financial services organization that implemented a particular type of DW-DSS, a Customer Relationship Management (CRM) system. The DSS-decision performance model has provided some theoretical guidance for this exploration. The case study results show that the decision-making support provided by these systems is limited and that an extended version of the DSS-decision performance model may better describe the factors that influence individual decision-making performance.

Suggested Citation

  • John D. Wells & Traci J. Hess, 2002. "Understanding Decision-Making in Data Warehousing and Related Decision Support Systems: An Explanatory Study of a Customer Relationship Management Application," Information Resources Management Journal (IRMJ), IGI Global, vol. 15(4), pages 16-32, October.
  • Handle: RePEc:igg:rmj000:v:15:y:2002:i:4:p:16-32
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