USF St. Petersburg campus Faculty Publications
The shareholder-wealth and trading-volume effects of information-technology infrastructure investments
Document Type
Article
Publication Date
2002
ISSN
0742-1222
Abstract
Despite the rising tide of investments in information technologies (IT) infrastructures, empirical evidence about the effects of such investment moves is scarce. Stock market investors provide one appropriate perspective on the value-creation and growth potential of IT infrastructure investments through their reactions to specific IT infrastructure investment moves by business firms. This research utilizes the event study analysis approach to examine if IT infrastructure investments are associated with significantly positive abnormal stock market returns and rises in trading volume when firms announce such investments. Drawing upon a sample of IT infrastructure announcements in the early 1990s, this research finds significant evidence that positive abnormal returns and increased trading volume are associated with IT infrastructure investment announcements. Further, when such investments are contrasted with investments in IT applications, evidence exists that infrastructure investments generate greater excess returns and a larger increase in trading volume than applications investments do. The evidence provides empirical support for the potential of IT infrastructure investments to be perceived as a platform for growth and revenue generation opportunities in contemporary business firms.
Language
en_US
Publisher
M.E. Sharpe, Inc.
Recommended Citation
Chatterjee, D., Pacini, C., & Sambamurthy, V. (2002). The shareholder-wealth and trading-volume effects of information-technology infrastructure investments. Journal of Management Information Systems, 19(2), 7-42.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Comments
Abstract only. Full-text article is available only through licensed access provided by the publisher. Published in Journal of Management Information Systems, 19(2), 7-42. Members of the USF System may access the full-text of the article through the authenticated link provided.