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.
- 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.
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.
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.
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.
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.
If the respondent selects option “B” when the probability is 99 %, we assume that he tolerates all the risks.
- 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.
References
Ajzen, I.: The theory of planned behavior. Organ. Behav. Hum. Decis. Process. 50, 179–211 (1991)
Albrechtsen, E.: A qualitative study of users’ view on information security. Comput. Secur. 26, 276–289 (2007)
Albrechtsen, E., Hovden, J.: The information security digital divide between information security managers and users. Comput. Secur. 28, 476–490 (2009)
Albrechtsen, E., Hovden, J.: Improving information security awareness and behaviour through dialogue, participation and collective reflection. An intervention study. Comput. Secur. 29, 432–445 (2010)
Aurigemma, S., Panko, R.: A composite framework for behavioral compliance with information security policies. In: Proceedings of 45th Hawaii International Conference on System Sciences, Maui, pp. 3248–3257 (2012)
Becker, G.M., Degroot, M.H., Marschak, J.: Measuring utility by a single response sequential method. Behav. Sci. 9, 226–232 (1964)
Bulgurcu, B., Cavusoglu, H., Benbasat, I.: Roles of information security awareness and percieved fairness in information security policy compliance. In: Proceedings of the Fifteenth Americas Conference on Information Systems, San Francisco, Paper 419, 1-9 (2009)
Cappelli, D.M., Desai, A.G., Moore, A.P., Shimeall, T.J., Weaver, E.A., Willke, B.J.: Management and education of the risk of insider threat (MERIT): mitigating the risk of sabotage to employers’ information, systems, or networks. Technical Note, Software Engineering Institute, Carnegie Mellon University, CMU/SEI-2006-TN-041 (2007)
Chang, K.M.: Predicting unethical behavior: a comparison of the theory of reasoned action and the theory of planned behavior. J. Bus. Ethics 17(16), 1825–1834 (1998)
Chen, J.V., Chen, C.C., Yang, H.H.: An empirical evaluation of key factors contributing to internet abuse in the workplace. Ind. Manage. Data Syst. 108(1), 87–106 (2008)
Couper, M.P.: Web surveys: a review of issues and approaches. Piblic Opin. Q. 64, 464–494 (2000)
Cramer, J.S., Hatog, J., Jonker, N., Van Praag, C.M.: Low risk aversion encourages the choice for entrepreneurship: an empirical test of a truism. J. Econ. Behav. Organ. 48, 29–36 (2002)
Cressey, D.R.: Other People’s Money: A Study in the Social Psychology of Embezzlement. Patterson-Smith, Montclair (1973)
D’Arcy, J., Hovav, A., Galletta, D.: User awareness of security countermeasures and its impact on information system misuse: a deterrence approach. Inf. Syst. Res. 20, 1–20 (2008)
Foltz, C.B., Schwager, P.H., Anderson, J.E.: Why users (fail to) read computer usage policies. Ind. Manage. Data Syst. 108(6), 701–712 (2008)
Galletta, D.F., Polak, P.: An empirical investigation of antecedents of internet abuse in the workplace. In: Proceedings of the Second Annual Workshop on HCI Research in MIS, Seattle, pp. 47–51 (2003)
Greitzer, F.L., Hohimer, R.E.: Modeling human behavior to anticipate insider attacks. J. Strateg. Secur. IV(2), 25–48 (2011)
Greitzer, F.L., Kangas, L.J., Noonan, C.F., Dalton, A.C., Hohimer, R.E.: Identifying at-risk employees: modeling psychosocial precursors of potential insider threats. In: Proceedings of 45th Hawaii International Conference on System Sciences, Maui, pp. 2392–2401 (2012)
Hosmer, D.W., Lemeshow, S.: Applied Logistic Regression, 2nd edn. Wiley-Interscience, New York (2000)
Information-Technology Promotion Agency: Information Security White Paper. Information-Technology Promotion Agency, Tokyo (2011)
Kahneman, D., Tversky, A.: Prospect theory: an analysis of decision under risk. Econometrica 47(2), 263–292 (1979)
Komatsu, A., Akai, K., Ueda, M., Matsumoto, T.: Is the security measurement situation a social dilemma? Applying Bot measurement operation. IPSK SIG Technical Report, 2009-CSEC-46(40), 1-8 (2009)
Lee, J., Lee, Y.: A holistic model of computer abuse within organizations. Inf. Manage. Comput. Secur. 10(2), 57–63 (2002)
Lee, S.M., Lee, S.G., Yoo, S.: An integrative model of computer abuse based on social control and general deterrence theories. Inf. Manage. 40, 707–718 (2004)
Lim, V.K.G.: The IT way of loafing on the job: cyberloafing, neutralizing and organizational justice. J. Organ. Behav. 23, 675–694 (2002)
Mcilwraith, A.: Information Security and Employee Behaviour: How to Reduce Risk Through Employee Education, Training and Awareness. Gower, Hampshire (2006)
Peace, A.G., Galletta, D.F., Thong, J.Y.L.: Software piracy in the workplace: a model and empirical test. J. Manage. Inf. Syst. 20(1), 153–177 (2003)
Pee, L.G., Woon, I.M.Y., Kankanhalli, A.: Explaining non-work-related computing in the workplace: a comparison of alternative models. Inf. Manage. 45, 120–130 (2008)
Pfleeger, S.L., Stolfo, S.J.: Addressing the insider threat. IEEE Comput. Reliab. Soc. 7(6), 10–13 (2009)
Pfleeger, S.L., Predd, J.B., Hunker, J., Bulford, C.: Insiders behaving badly: addressing bad actors and their actions. IEEE Trans. Inf. Forensics Secur. 5(1), 169–179 (2010)
Predd, J.B., Pfleeger, S.L., Hunker, J., Bulford, C.: Insiders behaving badly. IEEE Secur. Priv. 6, 66–70 (2008)
Reason, J., Parker, D., Lawton R.: Organizational controls and safety: the varieties of rule-related behaviour. J. Occup. Organ. Psychol. 71, 289–304 (1998)
Riketta, M.: Attitudinal organizational commitment and job performance: a meta-analysis. J. Organ. Behav. 23, 257–266 (2002)
Strathman, A., Gleicher, F., Boninger, D.S., Edwards, C.S.: The consideration of future consequences: weighing immediate and distant outcomes of behavior. J. Personal. Soc. Psychol. 66(4), 742–752 (1994)
Straub, D.: Effective IS security: an empirical study. Inf. Syst. Res. 1(3), 255–276 (1990)
Takemura, T.: A quantitative study on Japanese workers’ awareness to information security using the data collected by web-based survey. Am. J. Econ. Bus. Adm. 2(1), 20–26 (2010)
Takemura, T.: Empirical analysis of behavior on information security. In: The Proceeding of 2011 IEEE International Conferences on Internet of Things, and Cyber, Physical and Social Computing, Dalian, pp. 358–363 (2011)
Theoharidou, M., Kokolakis, S., Karyda, M., Kiountouzis, E.: The insider threat to information systems and the effectiveness of ISO17799. Comput. Secur. 24, 472–484 (2005)
Thomson, M.E., Solms R.: Information security awreness: educating your users effectively. Inf. Manage. Comput. Secur. 6(4), 167–173 (1998)
Tsukahara, Y.: Human motivating behavior and employee’s behavior. In: Chida, R., Tsukahara, Y., Yamamoto, M. (eds.) Behavioral Eonomics: Theory and Practice, pp. 50–71. Keiso-shobo, Tokyo (2010)
Wells, J.T.: Principles of Fraud Examination, 3rd edn. Wiley, Hoboken (2010)
Woon, I.M.Y., Pee, L.G.: Behavioral factors affecting internet abuse in the workplace: an empirical investigation. In: Proceedings of the Third Annual Workshop on HCI Research in MIS, Washington, DC, pp. 80–84 (2004)
Workman, M., Gathegi, J.: Punishment and ethics deterrents: a study of insider security contravention. J. Am. Soc. Inf. Sci. Technol. 58(2), 212–222 (2007)
Zhang, J., Reithel, B.J., Li, H.: Impact of perceived technical protection on security behaviors. Inf. Manage. Comput. Secur. 17(4), 330–340 (2009)
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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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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