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Organizational silence and whistle-blowing on IT projects: An integrated model

*Corresponding author for this work
  • Georgia Gwinnett College
    ,
  • Georgia State University
Scholary Output:
Contribution to journal
Article
Peer-review

Abstract

An individual's reluctance to report bad news about a troubled information technology (IT) project has been suggested as an important contributor to project failure and has been linked to IT project escalation, as well. To date, information systems researchers have drawn from, the mum effect and whistle-blowing literature to gain a better understanding of the factors that influence bad news reporting. More recent theoretical work in the area of organizational silence offers a promising new conceptual lens, but remains empirically untested. In this research note, we integrate key elements of Morrison and Milliken's (2000) model of organizational silence, which has never been empirically tested, with the basic whistle-blowing model adapted from Dozier and Miceli (1985). Using a role-playing experiment, we investigate how organizational structures/policies, managerial practices, and degree of demographic dissimilarity between employees and top managers create a climate of silence and how this climate, in turn, affects an individual's willingness to report. Our results show that all three types of factors contribute to a climate of silence, exerting both direct and indirect influence on willingness to report, as hypothesized. The implications of these findings and directions for future research are discussed.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 901-918 (18 pages)

Journal (Volume, Issue Number)

Decision Sciences (Volume 40, Issue 4)

Publication milestones

  • Published - 11/2009

Publication status

Published - 11/2009

ISSN

0011-7315

Publication IDs

  • Scopus: 72449135770
  • ORCID: /0000-0003-0909-0287/work/65876015

Publication metrics

Metrics

SciVal
FWCI
1.58
SciVal
Author count
2
SciVal
citations
43
SciVal
Paper percentile
87
Fractional count
1
Fractional count
0.50
Fractional count
1
Fractional count
0.50
Fractional count
1
Fractional count
1
Scopus
citations

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Citation count
65
Captures
115
Mentions
1