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How controls influence organizational information processing: insights from a computational modeling investigation

Publication ,  Journal Article
Long, CP; Sitkin, SB; Cardinal, LB; Burton, RM
Published in: Computational and Mathematical Organization Theory
August 15, 2015

In this study, we use a series of computational models to investigate an information processing perspective on organizational control use. We evaluate and compare the information processing capabilities of various formal and informal control configurations under different information uncertainty conditions. We find that a wide range of formal controls can be used to direct subordinates performing interdependent tasks while a more narrow range of informal controls are most effective for directing subordinates who perform complex tasks. Results of this study provide a basis for formalizing an information processing perspective on organizational control implementation that differs but is complementary to the current emphasis on agency in organizational control research.

Duke Scholars

Published In

Computational and Mathematical Organization Theory

DOI

EISSN

1572-9346

ISSN

1381-298X

Publication Date

August 15, 2015

Volume

21

Issue

4

Start / End Page

406 / 436

Related Subject Headings

  • Business & Management
  • 4903 Numerical and computational mathematics
  • 0103 Numerical and Computational Mathematics
 

Citation

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Long, C. P., Sitkin, S. B., Cardinal, L. B., & Burton, R. M. (2015). How controls influence organizational information processing: insights from a computational modeling investigation. Computational and Mathematical Organization Theory, 21(4), 406–436. https://doi.org/10.1007/s10588-015-9191-z
Long, C. P., S. B. Sitkin, L. B. Cardinal, and R. M. Burton. “How controls influence organizational information processing: insights from a computational modeling investigation.” Computational and Mathematical Organization Theory 21, no. 4 (August 15, 2015): 406–36. https://doi.org/10.1007/s10588-015-9191-z.
Long CP, Sitkin SB, Cardinal LB, Burton RM. How controls influence organizational information processing: insights from a computational modeling investigation. Computational and Mathematical Organization Theory. 2015 Aug 15;21(4):406–36.
Long, C. P., et al. “How controls influence organizational information processing: insights from a computational modeling investigation.” Computational and Mathematical Organization Theory, vol. 21, no. 4, Aug. 2015, pp. 406–36. Scopus, doi:10.1007/s10588-015-9191-z.
Long CP, Sitkin SB, Cardinal LB, Burton RM. How controls influence organizational information processing: insights from a computational modeling investigation. Computational and Mathematical Organization Theory. 2015 Aug 15;21(4):406–436.
Journal cover image

Published In

Computational and Mathematical Organization Theory

DOI

EISSN

1572-9346

ISSN

1381-298X

Publication Date

August 15, 2015

Volume

21

Issue

4

Start / End Page

406 / 436

Related Subject Headings

  • Business & Management
  • 4903 Numerical and computational mathematics
  • 0103 Numerical and Computational Mathematics