TY - JOUR
T1 - How are C-suite executives different? A comparative empirical study of the survival of American chief information officers
AU - Ho, Man Wai
AU - Kauffman, Robert J.
N1 - Funding Information: An earlier version of this research was presented at the 2011 International Conference on Information Systems in Shanghai, China. The authors are grateful to the anonymous reviewers, area editor, and editor-in-chief of Decision Support Systems for providing useful input and guidance, as well as colleagues Hank Lucas, Sunil Mithas, Pulak Ghosh, Dan Ma, and Martin Yu. Rob Kauffman acknowledges the W.P. Carey Chair in IS at Arizona State University, and the Lee Kong Chian Faculty Fellowship for Research Excellence at Singapore Management University for generous support. Gregory Dawson acknowledges the support of the W.P. Carey School of Business as well as the Center for Organization Research and Design (CORD), both at Arizona State University. We also appreciated assistance from the many respondents from U.S. federal, state and municipal government agencies, who were instrumental in the success of our data collection. Publisher Copyright: © 2015 Published by Elsevier B.V.
PY - 2015/6/1
Y1 - 2015/6/1
N2 - This research employs non-parametric, semi-parametric, and parametric survival analysis methods to explore theory-based aspects of CIO and other C-suite executives' job tenures. We analyze a large data set of C-suite executives, including 400 CIOs, drawn from the public and private sectors, including federal, state, county and city agencies, and Fortune 500 firms. The data span 1994 to 2009, and include the job start and finish dates of the different executives, as well as relevant variables for the individual, organizational, market and technological environments that permit us to assess the patterns of their survivability. We report evidence to suggest that CIOs have more in common regarding survivability with other C-suite executives than is widely believed. We also report differences based on individual characteristics (gender, education, income, time in position), organization type (government versus Fortune 500), organization size, and reactions to changes in the stock market. In addition, CIO job tenures have grown longer from the early 1990s to the present day. Though there are few differences due to CIO gender, the relatively rare presence of female executives is associated with shorter job tenures for male executives.
AB - This research employs non-parametric, semi-parametric, and parametric survival analysis methods to explore theory-based aspects of CIO and other C-suite executives' job tenures. We analyze a large data set of C-suite executives, including 400 CIOs, drawn from the public and private sectors, including federal, state, county and city agencies, and Fortune 500 firms. The data span 1994 to 2009, and include the job start and finish dates of the different executives, as well as relevant variables for the individual, organizational, market and technological environments that permit us to assess the patterns of their survivability. We report evidence to suggest that CIOs have more in common regarding survivability with other C-suite executives than is widely believed. We also report differences based on individual characteristics (gender, education, income, time in position), organization type (government versus Fortune 500), organization size, and reactions to changes in the stock market. In addition, CIO job tenures have grown longer from the early 1990s to the present day. Though there are few differences due to CIO gender, the relatively rare presence of female executives is associated with shorter job tenures for male executives.
KW - CIO
KW - Job tenure
KW - Kaplan-Meier estimator
KW - Non-parametric estimation
KW - Parametric survival model
KW - Proportional hazards model
UR - http://www.scopus.com/inward/record.url?scp=84929492695&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84929492695&partnerID=8YFLogxK
U2 - 10.1016/j.dss.2015.03.005
DO - 10.1016/j.dss.2015.03.005
M3 - Article
SN - 0167-9236
VL - 74
SP - 88
EP - 101
JO - Decision Support Systems
JF - Decision Support Systems
ER -