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Computational modeling for what-is, what-might-be, and what-should-be studies-and triangulation

Publication ,  Journal Article
Burton, RM; Obel, B
Published in: Organization Science
September 1, 2011

In this essay, we examine what-is, what-might-be, and what-should-be computational models where the purpose is to explore new concepts, ideas, boundaries, and limitations going beyond what we know at the moment. Computational models complement well with other approaches: ethnographies, field studies, human subject lab studies, and surveys in novel triangulations. Triangulation of two or more complementary approaches permits us to broaden and deepen our understanding and insights. © 2011 INFORMS.

Duke Scholars

Published In

Organization Science

DOI

EISSN

1526-5455

ISSN

1047-7039

Publication Date

September 1, 2011

Volume

22

Issue

5

Start / End Page

1195 / 1202

Related Subject Headings

  • Business & Management
  • 3507 Strategy, management and organisational behaviour
  • 3505 Human resources and industrial relations
  • 1505 Marketing
  • 1503 Business and Management
 

Citation

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ICMJE
MLA
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Burton, R. M., & Obel, B. (2011). Computational modeling for what-is, what-might-be, and what-should-be studies-and triangulation. Organization Science, 22(5), 1195–1202. https://doi.org/10.1287/orsc.1100.0635
Burton, R. M., and B. Obel. “Computational modeling for what-is, what-might-be, and what-should-be studies-and triangulation.” Organization Science 22, no. 5 (September 1, 2011): 1195–1202. https://doi.org/10.1287/orsc.1100.0635.
Burton RM, Obel B. Computational modeling for what-is, what-might-be, and what-should-be studies-and triangulation. Organization Science. 2011 Sep 1;22(5):1195–202.
Burton, R. M., and B. Obel. “Computational modeling for what-is, what-might-be, and what-should-be studies-and triangulation.” Organization Science, vol. 22, no. 5, Sept. 2011, pp. 1195–202. Scopus, doi:10.1287/orsc.1100.0635.
Burton RM, Obel B. Computational modeling for what-is, what-might-be, and what-should-be studies-and triangulation. Organization Science. 2011 Sep 1;22(5):1195–1202.

Published In

Organization Science

DOI

EISSN

1526-5455

ISSN

1047-7039

Publication Date

September 1, 2011

Volume

22

Issue

5

Start / End Page

1195 / 1202

Related Subject Headings

  • Business & Management
  • 3507 Strategy, management and organisational behaviour
  • 3505 Human resources and industrial relations
  • 1505 Marketing
  • 1503 Business and Management