Are There Contagion Effects in IT and Business Process Outsourcing?

We model the diffusion of IT outsourcing using announcements about IT outsourcing deals. We estimate a lognormal diffusion curve to test whether IT outsourcing follows a pure diffusion process or there are contagion effects involved. The methodology permits us to study the consequences of outsourcin...

Full description

Saved in:
Bibliographic Details
Main Authors: MANN, A., Kauffman, Robert J., Han, K., Nault, B.R.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2011
Subjects:
Online Access:https://ink.library.smu.edu.sg/sis_research/2182
http://dx.doi.org/10.1016/j.dss.2011.02.005
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English
id sg-smu-ink.sis_research-3182
record_format dspace
spelling sg-smu-ink.sis_research-31822014-04-02T10:22:16Z Are There Contagion Effects in IT and Business Process Outsourcing? MANN, A. Kauffman, Robert J. Han, K. Nault, B.R. We model the diffusion of IT outsourcing using announcements about IT outsourcing deals. We estimate a lognormal diffusion curve to test whether IT outsourcing follows a pure diffusion process or there are contagion effects involved. The methodology permits us to study the consequences of outsourcing events, especially mega-deals with IT contract amounts that exceed US$1 billion. Mega-deals act, we theorize, as precipitating events that create a strong basis for contagion effects and are likely to affect decision-making by other firms in an industry. Then, we evaluate the role of different communication channels in the diffusion process of IT outsourcing by testing for the fit of the mixed influence model at the industry level. This helps us to evaluate the consistency of evidence at two different levels of analysis. We also evaluate two flexible diffusion models: the Gompertz and Weibull models. Our results show that the diffusion patterns of IT outsourcing do not appear to be lognormal, suggesting that IT outsourcing does not follow a pure diffusion process. Instead, we find the presence of contagion effects in the diffusion of IT outsourcing. During periods of the most rapid outsourcing growth – the contagion periods – the actions of the large and more visible firms may provide exemplars for smaller firms, reducing their inhibitions about committing to IT outsourcing. We also find that the results of the mixed influence and the Weibull models, which provide the best fit for overall IT outsourcing diffusion patterns, are potentially indicative of the existence of spillovers that might drive the observed contagion effects at the industry level. 2011-01-01T08:00:00Z text https://ink.library.smu.edu.sg/sis_research/2182 info:doi/10.1016/j.dss.2011.02.005 http://dx.doi.org/10.1016/j.dss.2011.02.005 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Business processes Contagion effects Economic analysis Influence models IT services S-curve flexible models Outsourcing Business Computer Sciences
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Business processes
Contagion effects
Economic analysis
Influence models
IT services
S-curve flexible models
Outsourcing
Business
Computer Sciences
spellingShingle Business processes
Contagion effects
Economic analysis
Influence models
IT services
S-curve flexible models
Outsourcing
Business
Computer Sciences
MANN, A.
Kauffman, Robert J.
Han, K.
Nault, B.R.
Are There Contagion Effects in IT and Business Process Outsourcing?
description We model the diffusion of IT outsourcing using announcements about IT outsourcing deals. We estimate a lognormal diffusion curve to test whether IT outsourcing follows a pure diffusion process or there are contagion effects involved. The methodology permits us to study the consequences of outsourcing events, especially mega-deals with IT contract amounts that exceed US$1 billion. Mega-deals act, we theorize, as precipitating events that create a strong basis for contagion effects and are likely to affect decision-making by other firms in an industry. Then, we evaluate the role of different communication channels in the diffusion process of IT outsourcing by testing for the fit of the mixed influence model at the industry level. This helps us to evaluate the consistency of evidence at two different levels of analysis. We also evaluate two flexible diffusion models: the Gompertz and Weibull models. Our results show that the diffusion patterns of IT outsourcing do not appear to be lognormal, suggesting that IT outsourcing does not follow a pure diffusion process. Instead, we find the presence of contagion effects in the diffusion of IT outsourcing. During periods of the most rapid outsourcing growth – the contagion periods – the actions of the large and more visible firms may provide exemplars for smaller firms, reducing their inhibitions about committing to IT outsourcing. We also find that the results of the mixed influence and the Weibull models, which provide the best fit for overall IT outsourcing diffusion patterns, are potentially indicative of the existence of spillovers that might drive the observed contagion effects at the industry level.
format text
author MANN, A.
Kauffman, Robert J.
Han, K.
Nault, B.R.
author_facet MANN, A.
Kauffman, Robert J.
Han, K.
Nault, B.R.
author_sort MANN, A.
title Are There Contagion Effects in IT and Business Process Outsourcing?
title_short Are There Contagion Effects in IT and Business Process Outsourcing?
title_full Are There Contagion Effects in IT and Business Process Outsourcing?
title_fullStr Are There Contagion Effects in IT and Business Process Outsourcing?
title_full_unstemmed Are There Contagion Effects in IT and Business Process Outsourcing?
title_sort are there contagion effects in it and business process outsourcing?
publisher Institutional Knowledge at Singapore Management University
publishDate 2011
url https://ink.library.smu.edu.sg/sis_research/2182
http://dx.doi.org/10.1016/j.dss.2011.02.005
_version_ 1770571832610521088