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<TITLE>Contents of JAIS, Volume 12, Issue 9 (September)</TITLE>
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<P><SPAN LANG="en-us"><FONT FACE="Arial">Contents of Volume 12, Issue 9 (September) </FONT></SPAN>
<BR><SPAN LANG="en-us"><FONT FACE="Arial">Journal of the Association for Information Systems (JAIS)</FONT></SPAN>
<BR><SPAN LANG="en-us"><FONT FACE="Arial">Official Publication of the</FONT></SPAN><SPAN LANG="en"> <FONT FACE="Arial">Association for Information Systems</FONT></SPAN>
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<P><SPAN LANG="en-us"><FONT FACE="Arial">Published: Monthly Electronically</FONT></SPAN>
<BR><SPAN LANG="en-us"><FONT FACE="Arial">ISSN:</FONT></SPAN><SPAN LANG="en"> <FONT FACE="Arial">1536-9323</FONT></SPAN>
<BR><SPAN LANG="en-us"><FONT FACE="Arial">Published by</FONT></SPAN><SPAN LANG="en"> <FONT FACE="Arial">the Association for Information Systems,</FONT></SPAN><SPAN LANG="en-us"> <FONT FACE="Arial">Atlanta, USA</FONT></SPAN>
<BR><SPAN LANG="en-us"></SPAN><A HREF="http://aisel.aisnet.org/jais/"><SPAN LANG="en-us"><U><FONT COLOR="#0000FF" FACE="Arial">http://aisel.aisnet.org/jais/</FONT></U></SPAN></A><SPAN LANG="en-us"></SPAN>
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<P><SPAN LANG="en-us"><FONT FACE="Arial">Editor-in-Chief: Professor Shirley Gregor, the Australian National University, Australia</FONT></SPAN>
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<P><SPAN LANG="en-us"><U><FONT FACE="Arial">PAPER ONE </FONT></U></SPAN>
<BR><SPAN LANG="en-us"><FONT FACE="Arial">Fitting Covariance Models for Theory Generation.</FONT></SPAN>
<BR><SPAN LANG="en-us"><FONT FACE="Arial">By</FONT></SPAN><SPAN LANG="en"> <FONT FACE="Arial">Joerg Evermann and Mary Tate</FONT></SPAN><SPAN LANG="en-us"><FONT FACE="Arial">.</FONT></SPAN><SPAN LANG="en"></SPAN>
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<P><SPAN LANG="en-us"><FONT FACE="Arial">Abstract:</FONT></SPAN>
<BR><I><SPAN LANG="en"><FONT FACE="Arial">Covariance-based structural equation modeling (CB-SEM) is an increasingly popular techniqu</FONT></SPAN><SPAN LANG="en-us"><FONT FACE="Arial">e 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.</FONT></SPAN></I></P>
<P><SPAN LANG="en-us"><FONT FACE="Arial">To obtain a copy of the entire article, click on the link below.</FONT></SPAN>
<BR><SPAN LANG="en"></SPAN><A HREF="http://aisel.aisnet.org/jais/vol12/iss9/2/"><SPAN LANG="en"></SPAN><SPAN LANG="en"><U><FONT COLOR="#0000FF" FACE="Arial">http://aisel.aisnet.org/jais/vol12/iss9/2/</FONT></U></SPAN><SPAN LANG="en"></SPAN></A><SPAN LANG="en"></SPAN><SPAN LANG="en-us"></SPAN><SPAN LANG="en"></SPAN>
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<P><SPAN LANG="en-us"><U><FONT FACE="Arial">PAPER TWO</FONT></U></SPAN>
<BR><SPAN LANG="en-us"><FONT FACE="Arial">An Event Study Analysis of the Economic Impact of IT Operational Risk and its Subcategories.</FONT></SPAN>
<BR><SPAN LANG="en-us"><FONT FACE="Arial">By</FONT></SPAN><SPAN LANG="en"> <FONT FACE="Arial">James</FONT></SPAN><SPAN LANG="en-us"> <FONT FACE="Arial">Goldstein, Anna Chernobai, and Michel Benaroch.</FONT></SPAN><SPAN LANG="en"></SPAN>
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<P><SPAN LANG="en-us"><FONT FACE="Arial">Abstract:</FONT></SPAN>
<BR><I><SPAN LANG="en"><FONT FACE="Arial">Organizations</FONT></SPAN><SPAN LANG="en-us"><FONT FACE="Arial">’ 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.</FONT></SPAN></I></P>
<P><SPAN LANG="en-us"><FONT FACE="Arial">To obtain a copy of the entire article, click on the link below.</FONT></SPAN>
<BR><SPAN LANG="en"></SPAN><A HREF="http://aisel.aisnet.org/jais/vol12/iss9/1/"><SPAN LANG="en"></SPAN><SPAN LANG="en"><U><FONT COLOR="#0000FF" FACE="Arial">http://aisel.aisnet.org/jais/vol12/iss9/1/</FONT></U></SPAN><SPAN LANG="en"></SPAN></A><SPAN LANG="en"></SPAN><SPAN LANG="en-us"></SPAN><SPAN LANG="en"></SPAN>
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