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An Empirical Study on Information Security Behaviors and Awareness

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The Economics of Information Security and Privacy

Abstract

In this chapter, we investigate some key factors which have effects on employees’ behaviors in violating rules which are related to information leaks given the condition that the behaviors are totally prohibited by their organization. By using collected data from a survey that we conducted, and employing a stepwise logit model, we analyze the relationships above. The primary results are as follows: First of all, myopic cognition and hyperopic cognition measured by the CFC scale have effects on the behaviors of violating organizational rules in almost all cases. Next, in many cases, individuals whose information security awareness is higher tend not to violate the rules. Third, the behavior of violating the rules is independent of the size of the organization, and is not related to the degree of workplace satisfaction and the evaluation toward the managers in some cases. Fourth, in an organization in which permanent employment is implemented, individuals tend to violate the rules. It is not easy to control psychological factors such as an individual’s attitude toward risk. Conversely, the factors regarded as organizational attributes, such as the degree of workplace satisfaction or the employment system utilized, may be controlled by designing the appropriate organizational environment. Consequently, we consider that it may be effective to improve information security awareness by information security education and training.

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Notes

  1. 1.

    These studies provide good reviews about these theories regarding information security [23, 38].

  2. 2.

    System dynamics is a method for modeling and analyzing the holistic behavior of complex problems as they evolve over time. System dynamics has been used to gain insight into some of the most challenging strategy questions facing businesses and government for several decades.

  3. 3.

    Generally, a behavioral model using a logit regression equation is devoted to explaining and predicting human behavior and has been used in the various fields for a long time.

  4. 4.

    We point out the following characteristics: (1) we can obtain the desired sample size for statistical analysis; (2) imposing conditions on attributes of respondents beforehand has a predilection for a Bayesian approach; and (3) because the Web-based survey is conducted agilely, it is easy to collect data set for analysis.

  5. 5.

    Of course, we do not intend to ignore this statistical problem. We expect that future studies on the representativeness of data from Web-based surveys will be promoted.

  6. 6.

    Because some respondents select “I do not know whether or not the measures are prohibited within the organization” or “the measures are prohibited with some conditions within the organization” in the survey, these respondents are excluded.

  7. 7.

    If the respondent selects option “B” when the probability is 99 %, we assume that he tolerates all the risks.

  8. 8.

    Cronbach’s alpha of the scale was 0.691, which showed adequate internal consistency of the scale. The alpha is above the recommended level of 0.6.

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Acknowledgements

This work is supported in part by a Grant-in-Aid from the Zengin Foundation for Studies on Economics and Finance and by the Japan Society for the Promotion of Science: Grant-in-Aid for Young Scientists (B) (22730241).This chapter incorporates some valuable comments by anonymous reviewers for WEIS 2012. All remaining errors are our own.

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Correspondence to Toshihiko Takemura .

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Takemura, T., Komatsu, A. (2013). An Empirical Study on Information Security Behaviors and Awareness. In: Böhme, R. (eds) The Economics of Information Security and Privacy. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39498-0_5

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