---
res:
  bibo_abstract:
  - 'Information systems (IS) research is increasingly exploring the potential of
    generative artificial intelligence (GenAI), such as large language models (LLMs).
    For design science research (DSR), such technologies foster entirely new vistas
    for the design of IT artifacts that make use of their generative capabilities,
    but also influence DSR methodology. This shift is much more profound than it has
    been discussed so far. To identify existing implications of GenAI for design-oriented
    research in IS, we report results from an integrative literature review of recent
    DSR publications in leading IS outlets. Thereby, we synthesize five major theoretical
    challenges that arise when using GenAI in DSR projects: (1) an obscure composition
    of the artifact, (2) an opaque contextualization of the LLM, (3) a fragile internal
    consistency of the artifact, (4) a rapid erosion of prescriptive knowledge, and
    (5) missing methodological guidance. We investigate these challenges and conceptualize
    a set of three guidelines that inform DSR in the rising era of GenAI. These guidelines
    support researchers in designing and justifying GenAI-related DSR processes and
    in precisely articulating the theoretical grounding of their design decisions
    and evaluation strategies.@eng'
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Philipp
      foaf_name: zur Heiden, Philipp
      foaf_surname: zur Heiden
      foaf_workInfoHomepage: http://www.librecat.org/personId=64394
  - foaf_Person:
      foaf_givenName: Daniel
      foaf_name: Beverungen, Daniel
      foaf_surname: Beverungen
      foaf_workInfoHomepage: http://www.librecat.org/personId=59677
  - foaf_Person:
      foaf_givenName: Christian
      foaf_name: Bartelheimer, Christian
      foaf_surname: Bartelheimer
  - foaf_Person:
      foaf_givenName: Christoph
      foaf_name: Breidbach, Christoph
      foaf_surname: Breidbach
  bibo_doi: 10.1007/978-3-032-28313-9_22
  bibo_volume: 16606
  dct_date: 2026^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/0302-9743
  - http://id.crossref.org/issn/1611-3349
  - http://id.crossref.org/issn/9783032283122
  - http://id.crossref.org/issn/9783032283139
  dct_language: eng
  dct_publisher: Springer Nature Switzerland@
  dct_title: Design Science Research in an Era of Generative AI—Challenges and Theoretical
    Guidelines@
...