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5 results on '"Hovav, Anat"'

4. Capital market reaction to defective IT products: The case of computer viruses

Author

Hovav, Anat and D'Arcy, John

Subjects
Virus, Capital market, Computer viruses
Abstract

To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.cose.2005.02.003 Byline: Anat Hovav (a), John D'Arcy (b) Abstract: Studies in various industries indicate that market reaction to recall announcements is used as a catalyst to control the creation of substandard products. In the IT industry, flawed software is being blamed for the increasing numbers of computer viruses that plague information systems and the escalating costs to repair these viruses. This paper examines whether the market penalizes firms that produce substandard IT products. We use the event study methodology to assess the impact of public virus announcements on the stock prices of responsible IT vendors between 1988 and 2002. The results show that the market reacts negatively to the production of flawed Information Technology in approximately 50% of the cases. However, this negative market reaction is not statistically significant over extended periods and is limited to announcements involving certain types of defects (i.e., IT products that contain computer viruses). There was no statistically significant negative market reaction for announcements involving IT products that are susceptible to computer viruses. Our analysis implies that unlike in other industries, market forces alone cannot be used as an effective control mechanism for the production of substandard IT products. The study concludes that under these present conditions, IT vendors have little economic incentives to invest in defect-free computing. Author Affiliation: (a) MIS Department, Fox School of Business, Temple University, United States (b) Department of Computer and Information Sciences, Towson University, United States Article History: Received 4 October 2004; Revised 2 February 2005; Accepted 25 February 2005

Published
2005

5. Development of methods for identifying an appropriate benchmarking peer to establish information security policy.

Author

Kang, Martin, Hovav, Anat, Lee, Euntae T., Um, Sungyong, and Kim, Horim

Subjects
*INFORMATION technology security, *MANAGEMENT information systems, *INFORMATION resources management, *SOFT sets, *SET theory
Abstract

• Identifying benchmarking peer for establishing an information security policy. • Feature engineering based on Vague Soft Set. • Improvements of Gaussian process classification by integrating Vague Soft Set. • Combined use of Gaussian process and Vague Soft Set performs best among classifiers. Benchmarking methodology provides organizations with appropriate information security policy. However, selecting an appropriate organization as a benchmarking peer can be a challenge due to firms' heterogeneous implementation and usage of information systems. Our goal is to develop and propose methods to appropriately identify a benchmarking peer organization by incorporating machine learning methods and mathematics set theory. We incorporate vague soft set, entropy, dynamic time warping, and Gaussian process. We use log data from information security management systems in multiple companies to validate our methods. Our experimental results indicate that the combined use of Gaussian process, vague soft set, and dynamic time warping can be more effective in identifying an appropriate benchmarking peer than conventional machine learning methods. [ABSTRACT FROM AUTHOR]

Published
2022
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