[AISWorld] Contents of JAIS, Volume 12, Issue 9 (September)

[Gregor, Shirley]

Contents of Volume 12, Issue 9 (September) 
Journal of the Association for Information Systems (JAIS)
Official Publication of the Association for Information Systems

Published: Monthly Electronically
ISSN: 1536-9323
Published by the Association for Information Systems, Atlanta, USA
http://aisel.aisnet.org/jais/

Editor-in-Chief: Professor Shirley Gregor, the Australian National
University, Australia

PAPER ONE 
Fitting Covariance Models for Theory Generation.
By Joerg Evermann and Mary Tate.

Abstract:
Covariance-based structural equation modeling (CB-SEM) is an
increasingly popular technique for analyzing quantitative data in
Information Systems research. As such, it is traditionally viewed as a
method to test theory, rather than build it. However, many of the
theoretical models tested with this technique in IS research show
significant differences between the model and the data. This paper shows
that as part of the pursuit of model fit, researchers using CB-SEM can
provide deeper insights into a phenomenon, allowing us to build theories
based on quantitative data.

To obtain a copy of the entire article, click on the link below.
http://aisel.aisnet.org/jais/vol12/iss9/2/


PAPER TWO
An Event Study Analysis of the Economic Impact of IT Operational Risk
and its Subcategories.
By James Goldstein, Anna Chernobai, and Michel Benaroch.

Abstract:
Organizations' growing exposure to IT operational risk, or the risk of
failures of operational IT systems, could translate into significant
losses. Despite this, there are notable theoretical and empirical gaps
in the literature on IT operational risk. We propose the "resource
weaknesses" framework, which extends the resource-based theory of the
firm, as a theoretical lens for investigating IT operational risk and
its impacts. We also theorize about and empirically examine the impact
differences of two categories of IT operational failures: ones resulting
in the disclosure, misuse, or destruction of data assets, and ones
resulting in the loss of availability or the mis-operation of functional
IT assets responsible for the handling of data assets. Whereas the
former, data-related failures have had some coverage in the literature,
little is known about the latter, function-related failures. We apply an
event study analysis with a well-balanced data set of IT operational
failure events that occurred in U.S. financial service firms over a
25-year period. We find that function-related events have a
substantially larger negative wealth effect than data-related events,
and that firm characteristics such as firm size and growth potential
greatly influence the degree of wealth effect. We conclude with
important implications for practice and research.

To obtain a copy of the entire article, click on the link below.
http://aisel.aisnet.org/jais/vol12/iss9/1/


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