---
_id: '148'
abstract:
- lang: eng
  text: 'Successful business model innovation is impossible without innovative business
    model ideas. When generating such ideas, humans make use of two properties of
    the human cognitive system: First, their ability to build up knowledge (i.e.,
    raw material for new ideas), and second, their ability to flexibly recombine that
    knowledge. While these properties enable humans to generate innovative ideas,
    the amounts of knowledge and cognitive flexibility that humans can possess are
    limited, which in turn limits human idea generation capability. With business
    model idea generators, a new class of information systems is proposed that can
    contribute to alleviating the limits that constrain human idea generation. The
    ideas that such idea generators produce can complement human business model ideas,
    thereby increase the probability for high-quality ideas, and eventually raise
    the odds of successful business model innovation. The contribution is a design
    theory that describes the architecture of the proposed idea generators.'
author:
- first_name: Thomas
  full_name: John, Thomas
  id: '3952'
  last_name: John
citation:
  ama: 'John T. Supporting Business Model Idea Generation Through Machine-generated
    Ideas: A Design Theory. In: <i>Proceedings of the 37th International Conference
    on Information Systems (ICIS), Dublin, Ireland</i>. ; 2016.'
  apa: 'John, T. (2016). Supporting Business Model Idea Generation Through Machine-generated
    Ideas: A Design Theory. In <i>Proceedings of the 37th International Conference
    on Information Systems (ICIS), Dublin, Ireland</i>. Dublin, Ireland.'
  bibtex: '@inproceedings{John_2016, title={Supporting Business Model Idea Generation
    Through Machine-generated Ideas: A Design Theory}, booktitle={Proceedings of the
    37th International Conference on Information Systems (ICIS), Dublin, Ireland},
    author={John, Thomas}, year={2016} }'
  chicago: 'John, Thomas. “Supporting Business Model Idea Generation Through Machine-Generated
    Ideas: A Design Theory.” In <i>Proceedings of the 37th International Conference
    on Information Systems (ICIS), Dublin, Ireland</i>, 2016.'
  ieee: 'T. John, “Supporting Business Model Idea Generation Through Machine-generated
    Ideas: A Design Theory,” in <i>Proceedings of the 37th International Conference
    on Information Systems (ICIS), Dublin, Ireland</i>, Dublin, Ireland, 2016.'
  mla: 'John, Thomas. “Supporting Business Model Idea Generation Through Machine-Generated
    Ideas: A Design Theory.” <i>Proceedings of the 37th International Conference on
    Information Systems (ICIS), Dublin, Ireland</i>, 2016.'
  short: 'T. John, in: Proceedings of the 37th International Conference on Information
    Systems (ICIS), Dublin, Ireland, 2016.'
conference:
  location: Dublin, Ireland
  name: 37th International Conference on Information Systems (ICIS)
date_created: 2017-10-17T12:41:20Z
date_updated: 2022-01-06T06:52:06Z
ddc:
- '040'
department:
- _id: '276'
file:
- access_level: closed
  content_type: application/pdf
  creator: abursig
  date_created: 2018-12-03T15:29:08Z
  date_updated: 2018-12-03T15:29:08Z
  file_id: '5991'
  file_name: Supporting Business Model Idea Generation Through Machine-generat.pdf
  file_size: 1626458
  relation: main_file
  success: 1
file_date_updated: 2018-12-03T15:29:08Z
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- url: http://aisel.aisnet.org/icis2016/DigitalInnovation/Presentations/5/
project:
- _id: '1'
  name: SFB 901
- _id: '17'
  name: SFB 901 - Subprojekt C5
- _id: '4'
  name: SFB 901 - Project Area C
publication: Proceedings of the 37th International Conference on Information Systems
  (ICIS), Dublin, Ireland
status: public
title: 'Supporting Business Model Idea Generation Through Machine-generated Ideas:
  A Design Theory'
type: conference
user_id: '16205'
year: '2016'
...