Using data from a survey of full-time employees at a large private university (n = 872), this study examines the relationship between thoughtfully reflective decision-making (TRDM) and cybercrime and the moderating roles of self-control and deviant peer associations. Results show that TRDM, self-control, and peer associations are each significantly associated with projected cybercrime in the expected directions. Furthermore, interaction analyses reveal that, while self-control does not moderate the TRDM–cybercrime link, peer deviance does: TRDM’s crime-protective effect weakens and becomes nonsignificant at higher than average levels of peer involvement in cybercrime. These findings highlight the importance of peer context in shaping the influence of reflective decision-making on cyber offending.
AkersR. L. (1998). Social learning and social structure: A general theory of crime and deviance. Northeastern University Press.
3.
AllisonP. D. (2002). Missing data. Sage.
4.
AntonaccioO.BotchkovarE. V.HughesL. A. (2017). Ecological determinants of situated choice in situational action theory: Does neighborhood matter?The Journal of Research in Crime and Delinquency, 54(2), 208–243. https://doi.org/10.1177/0022427816678908
BeccariaC.PaolucciH. (1963). On crimes and punishments. Macmillan.
7.
BeckerG. S. (1968). Crime and punishment: An economic approach. The Journal of Political Economy, 76(2), 169–217. https://doi.org/10.1086/259394
8.
BenthamJ. (1988). The principles of morals and legislation. Prometheus Books.
9.
BoccioC. M.SchwartzJ. A.BeaverK. M. (2022). The influence of low self-control and thoughtfully reflective decision making on criminal justice processing. American Journal of Criminal Justice, 47(3), 506–525.
10.
BosslerA. M.BurrussG. W. (2012). The general theory of crime and computer hacking: Low self-control hackers? In HoltT. J.SchellB. H. (Eds.), Corporate hacking and technology-driven crime: Social dynamics and implications (pp. 38–67). IGI Global.
11.
BotchkovarE.KafafianM.TimmerA.AntonaccioO.HughesL. A.JohnsonR. J. (2024). When the world falls apart: How people make decisions in the times of war. Crime and Delinquency. Advance online publication. https://doi.org/10.1177/00111287241268371
12.
BotchkovarE.CuiK.AntonaccioO.PerkinsR.MaimonD. (2025). The organized activities of ransomware groups: A social network approach. Technology in Society, 82. https://doi.org/10.1016/j.techsoc.2025.102873
BurrussG. W.BosslerA. M.HoltT. J. (2013). Assessing the mediation of a fuller social learning model on low self-control’s influence on software piracy. Crime and Delinquency, 59(8), 1157–1184. https://doi.org/10.1177/0011128712437915
15.
CaneppeleS.AebiM. F. (2019). Crime drop or police recording flop? On the relationship between the decrease of offline crime and the increase of online and hybrid crimes. Policing: A Journal of Policy and Practice, 13(1), 66–79. https://doi.org/10.1093/police/pax055
ClarkeR. V.CornishD. B. (1985). Modeling offenders’ decisions: A framework for research and policy. Crime and Justice, 6, 147–185. https://doi.org/10.1086/449106
18.
CornishD. B.ClarkeR. V. G. (1986). The reasoning criminal: Rational choice perspectives on offending. Springer.
19.
DonnerC. M.MarcumC. D.JenningsW. G.HigginsG. E.BanfieldJ. (2014). Low self-control and cybercrime: Exploring the utility of the general theory of crime beyond digital piracy. Computers in Human Behavior, 34, 165–172. https://doi.org/10.1016/j.chb.2014.01.040
GottfredsonM. R.HirschiT. (1990). A general theory of crime. Stanford University Press.
22.
GrasmickH. G.TittleC. R.BursikR. J.ArneklevB. J. (1993). Testing the core empirical implications of Gottfredson and Hirschi’s general theory of crime. Journal of Research in Crime and Delinquency, 30(1), 5–29. https://doi.org/10.1177/0022427893030001002
23.
GreenD. E. (1989). Measures of illegal behavior in individual-level deterrence research. The Journal of Research in Crime and Delinquency, 26, 253–275.
24.
HaynieD. L.SollerB.WilliamsK. (2014). Anticipating early fatality: Friends,’ schoolmates’ and individual perceptions of fatality on adolescent risk behaviors. Journal of Youth and Adolescence, 43(2), 175–192. https://doi.org/10.1007/s10964-013-9968-7
25.
HigginsG. E.MakinD. A. (2004). Does social learning theory condition the effects of low self-control on college students’ software piracy?Journal of Economic Crime Management, 2(2), 1–22.
26.
HirschiT. (2004). Self-control and crime. In BaumeisterR. F.VohsK. D. (Eds.), Handbook of self-regulation: Research, theory, and applications (pp. 537–552). Guilford Press.
27.
HoltT. J.BosslerA. M. (2009). Examining the applicability of lifestyle-routine activities theory for cybercrime victimization. Deviant Behavior, 30(1), 1–25. https://doi.org/10.1080/01639620701876577
28.
HoltT. J.BosslerA. M.MayD. C. (2012). Low self-control, deviant peer associations, and juvenile cyberdeviance. American Journal of Criminal Justice, 37(3), 378–395. https://doi.org/10.1007/s12103-011-9117-3
HoltT. J.BurrussG. W.BosslerA. M. (2010). Social learning and cyber-deviance: Examining the importance of a full social learning model in the virtual world. Journal of Crime & Justice, 33(2), 31–61. https://doi.org/10.1080/0735648X.2010.9721287
31.
HowellC. J.KabiriS.WangF.MunizC. N.KamarE.SharepourM.CochranJ.ShadmanfaatS. M. (Shamila). (2025). Online harassment: The mediating and moderating role of thoughtfully reflective decision-making. Social Science Computer Review, 43(2), 356–380. https://doi.org/10.1177/08944393241261983
32.
KahnemanD. (2011). Thinking, fast and slow (1st ed.). Farrar, Straus and Giroux.
33.
LouderbackE. R.AntonaccioO. (2017). Exploring cognitive decision-making processes, computer-focused cyber deviance involvement and victimization: The role of thoughtfully reflective decision-making. The Journal of Research in Crime and Delinquency, 54(5), 639–679. https://doi.org/10.1177/0022427817693036
34.
LouderbackE. R.AntonaccioO. (2021). New applications of self-control theory to computer-focused cyber deviance and victimization: A comparison of cognitive and behavioral measures of self-control and test of peer cyber deviance and gender as moderators. Crime and Delinquency, 67(3), 366–398. https://doi.org/10.1177/0011128720906116
35.
MaimonD.AntonaccioO.FrenchM. T. (2012). Severe sanctions, easy choice? investigating the role of school sanctions in preventing adolescent violent offending. Criminology, 50(2), 495–524. https://doi.org/10.1111/j.1745-9125.2011.00268.x
36.
NultyD. D. (2008). The adequacy of response rates to online and paper surveys: What can be done?Assessment and Evaluation in Higher Education, 33(3), 301–314. https://doi.org/10.1080/02602930701293231
37.
OsgoodD. W. (2000). Poisson-based regression analysis of aggregate crime rates. Journal of Quantitative Criminology, 16(1), 21–43. https://doi.org/10.1023/A:1007521427059
38.
PaternosterR.PogarskyG. (2009). Rational choice, agency and thoughtfully reflective decision making: The short and long-term consequences of making good choices. Journal of Quantitative Criminology, 25(2), 103–127. https://doi.org/10.1007/s10940-009-9065-y
39.
PaternosterR.PogarskyG.ZimmermanG. (2011). Thoughtfully reflective decision making and the accumulation of capital: Bringing choice back in. Journal of Quantitative Criminology, 27(1), 1–26. https://doi.org/10.1007/s10940-010-9095-5
40.
SabellaR. A.PatchinJ. W.HindujaS. (2013). Cyberbullying myths and realities. Computers in Human Behavior, 29(6), 2703–2711. https://doi.org/10.1016/j.chb.2013.06.040
41.
SabillonR.CavallerV.CanoJ.Serra-RuizJ. (2016). Cybercriminals, cyberattacks and cybercrime. In 2016 IEEE International Conference on Cybercrime and Computer Forensic (ICCCF) (pp. 1–9). IEEE. https://doi.org/10.1109/ICCCF.2016.7740434
42.
SchonlauM.FrickerR. D.ElliottM. N. (2002). Conducting research surveys via e-mail and the web. Illumina Technology Records (Unstructured report series).
43.
SkinnerW. F.FreamA. M. (1997). A social learning theory analysis of computer crime among college students. The Journal of Research in Crime and Delinquency, 34(4), 495–518. https://doi.org/10.1177/0022427897034004005
44.
SutherlandE. H. (1947). Principles of criminology (4th ed.). J. B. Lippincott Company.
45.
TimmerA.AntonaccioO.BotchkovarE. V.HughesL. A. (2023). Deciding to commit crime in adolescence: Do moral beliefs matter?Journal of Crime & Justice, 47(2), 155–170. https://doi.org/10.1080/0735648X.2023.2241442
46.
TimmerA.AntonaccioO.FrenchM. T. (2021). Hot or cool processing? Adolescent decision-making and delinquency. Justice Quarterly, 38(6), 961–994. https://doi.org/10.1080/07418825.2020.1730424
47.
TimmerA.AntonaccioO.FrenchM. T.BotchkovarE. V. (2024). Youth decision-making and crime: Influences of stressful conditions, adverse mental and physical states, and conventional activities. Crime and Delinquency, 70(1), 87–125. https://doi.org/10.1177/00111287221102057
48.
TittleC. R.AntonaccioO.BotchkovarE. (2012). Social learning, reinforcement and crime: Evidence from three European cities. Social Forces, 90(3), 863–890. https://doi.org/10.1093/sf/sor020
49.
TittleC. R.BotchkovarE. V. (2005). Self-control, criminal motivation and deterrence: And investigation using Russian respondents. Criminology, 43(2), 307–354. https://doi.org/10.1111/j.0011-1348.2005.00010.x
50.
TittleC. R.WardD. A.GrasmickH. G. (2003). Self-control and crime/deviance: Cognitive vs. behavioral measures. Journal of Quantitative Criminology, 19(4), 333–365. https://doi.org/10.1023/B:JOQC.0000005439.45614.24
51.
TittleC. R.WardD. A.GrasmickH. G. (2004). Capacity for self-control and individuals’ interest in exercising self-control. Journal of Quantitative Criminology, 20(2), 143–172. https://doi.org/10.1023/B:JOQC.0000029092.81837.74
52.
WarrM. (2002). Companions in crime: The social aspects of criminal conduct. Cambridge University Press.
53.
WardJ. T.GibsonC. L.BomanJ.LeiteW. L. (2010). Assessing the Validity of the Retrospective Behavioral Self-Control Scale: Is the General Theory of Crime Stronger Than the Evidence Suggests?Criminal Justice and Behavior, 37(3), 336–357. https://doi.org/10.1177/0093854809359673
54.
WikstromP.-O.OberwittlerD.TrieberK.HardieB. (2012). Breaking rules: The social and situational dynamics of young people’s urban crime. Policing: A Journal of Policy and Practice, 6(4), 330–331. https://doi.org/10.1093/police/pas032
55.
WikströmP.-O. H.TreiberK. (2007). The role of self-control in crime causation: Beyond gottfredson and Hirschi’s general theory of crime. European Journal of Criminology, 4(2), 237–264. https://doi.org/10.1177/1477370807074858
56.
WilsonC.SheridanL.Garratt-ReedD. (2022). What is cyberstalking? A review of measurements. Journal of Interpersonal Violence, 37(11–12), NP9763–NP9783. https://doi.org/10.1177/0886260520985489
57.
WooldridgeJ. M. (2008). Introductory econometrics: A modern approach (4th ed.). South-Western Cengage Learning.
58.
ZhouY.LiuW.LeeC.XuB.SunI. (2024). Traditional social learning predicts cyber deviance? Exploring the offending versatility thesis in social learning theory. Behavioral Sciences & the Law, 42(4), 417–434. https://doi.org/10.1002/bsl.2664
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