Author List: Kim, Seung Hyun; Kim, Byung;
MIS Quarterly, 2014, Volume 38, Issue 3, Page 655-678.
Despite growing interest in the economic and policy aspects of information security, little academic research has used field data to examine the development process of a security countermeasure provider. In this paper, we empirically examine the learning process a security software developer undergoes in resolving a malware problem. Using the data collected from a leading antivirus software company in Asia, we study the differential effects of experience on the malware resolution process. Our findings reveal that general knowledge from cross-family experience has greater impact than specific knowledge from within-family experience on performance in the malware resolution process. We also examine the factors that drive the differential effects of prior experience. Interestingly, our data show that cross-family experience is more effective than within-family experience in malware resolution when malware targets the general public than when a specific victim is targeted. Similar results—for example, the higher (lower) effect of cross-family (within-family) experience— were observed in the presence of information sharing among software vendors or during a disruption caused by a catastrophe. Our study contributes to a better understanding of the specific expertise required for security countermeasure providers to be able to respond under varying conditions to fast-evolving malware.
Keywords: Information security; economics of information systems; learning curve; antivirus software; malware; targeted attack; information sharing; catastrophe; knowledge retention
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#4 0.157 characteristics experience systems study prior effective complexity deal reveals influenced companies type analyze having basis conducted determine complex comparative drive
#285 0.154 effects effect research data studies empirical information literature different interaction analysis implications findings results important set large provide using paper
#93 0.140 performance results study impact research influence effects data higher efficiency effect significantly findings impacts empirical significant suggest outcomes better positive
#152 0.112 software development process performance agile processes developers response tailoring activities specific requirements teams quality improvement outcomes productivity improve fit maturity
#73 0.107 security threat information users detection coping configuration avoidance response firm malicious attack intrusion appraisal countermeasures benefit costs threats ability rate