---
res:
  bibo_abstract:
  - Data-driven decision making (DDD) refers to organizational decision-making practices
    that emphasize the use of data and statistical analysis instead of relying on
    human judgment only. Various empirical studies provide evidence for the value
    of DDD, both on individual decision maker level and the organizational level.
    Yet, the path from data to value is not always an easy one and various organizational
    and psychological factors mediate and moderate the translation of data-driven
    insights into better decisions and, subsequently, effective business actions.
    The current body of academic literature on DDD lacks prescriptive knowledge on
    how to successfully employ DDD in complex organizational settings. Against this
    background, this paper reports on an action design research study aimed at designing
    and implementing IT artifacts for DDD at one of the largest ship engine manufacturers
    in the world. Our main contribution is a set of design principles highlighting,
    besides decision quality, the importance of model comprehensibility, domain knowledge,
    and actionability of results.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Tiemo
      foaf_name: Thiess, Tiemo
      foaf_surname: Thiess
  - foaf_Person:
      foaf_givenName: Oliver
      foaf_name: Müller, Oliver
      foaf_surname: Müller
      foaf_workInfoHomepage: http://www.librecat.org/personId=72849
  dct_date: 2018^xs_gYear
  dct_language: eng
  dct_title: Towards Design Principles for Data-Driven Decision Making–An Action Design
    Research Project in the Maritime Industry@
...