We examined the influence of information technology (IT) acceptance on organizational agility. The study was based on a well-established theoretical model, the Technology Acceptance Model (TAM). We attempted to identify the relationships between IT acceptance and organizational agility in order to see how the acceptance of technology contributes to a firm's ability to be an agile competitor. Structural equation modeling techniques were used to analyze the data. Results from a survey involving 329 managers and executives in manufacturing firms in Malaysia showed that actual system or technology usage had the strongest direct effect on organizational agility. Meanwhile, perceived usefulness and perceived ease of use of IT influenced organizational agility indirectly through actual systems or technology use and attitudes towards using the technology. The results have several implications for IS management. #

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Malware writers attempt to generate different shapes of a malware to evade the signature-based scanners. As the number of variants of a metamorphic malware is increased, the analysis of all variants and selecting the appropriate signature and updating the database of the antivirus becomes more tiresome and time-consuming. Furthermore, for automated generated metamorphic viruses, which utilize the virus kits to produce different instances, sometime it is not possible to analyze all of them. Therefore, use of some classification methods to speed up the analysis process is necessary. In this paper, we show that how the histogram of instructions opcodes can help us in classification of metamorphic virus family variants.

The use of online social networks (OSNs) has increasingly attracted attention from scholars’ in different disciplines. Recently, student behaviors in online social networks have been extensively examined. However, limited efforts have been made to evaluate and systematically review the current research status to provide insights into previous study findings. Accordingly, this study conducted a systematic literature review on student behavior and OSNs to explicate to what extent students behave on these platforms. This study reviewed 104 studies to discuss the research focus and examine trends along with the important theories and research methods utilized. Moreover, the Stimulus-Organism-Response (SOR) model was utilized to classify the factors that influence student behavior. This study’s results demonstrate that the number of studies that address student behaviors on OSNs have recently increased. Moreover, the identified studies focused on five research streams, including academic purpose, cyber victimization, addiction, personality issues, and knowledge sharing behaviors. Most of these studies focused on the use and effect of OSNs on student academic performance. Most importantly, the proposed study framework provides a theoretical basis for further research in this context.