Cybercrime classification and characteristics

Jahankhani, Hamid; Al-Nemrat, Ameer; Hosseinian-Far, Amin

doi:10.1016/b978-0-12-800743-3.00012-8

Cited by 50 publications

(32 citation statements)

References 2 publications

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“…These aspects might result in longer and recurring victimization, and might recidivate the consequences (Leukfeldt et al, 2018). For instance, with online harassment or bullying, the offence has no clear end, as opposed to offline harassment or bullying (Jahankhani et al, 2014;Nadim & Fladmoe, 2021). Online harassment may cause people to become more cautious about sharing their views openly, an obvious behavioral implication of this type of crime (Nadim & Fladmoe, 2021).…”

Section: Studies Considering Cybercrime From a Victim Perspectivementioning

confidence: 99%

“…Because of the online aspect, the offender is able to reach the victim at any time and from any place. This might result in the victim not feeling safe anywhere (Jahankhani et al, 2014;Jansen & Leukfeldt, 2018;. Additionally, the offender seems intangible, because he or she operates anonymous and from a distance.…”

Section: Studies Considering Cybercrime From a Victim Perspectivementioning

confidence: 99%

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Comparing the victimization impact of cybercrime and traditional crime

Borwell

Jansen²,

Stol³

2021

jdsr

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This paper addresses the importance of building knowledge on the impact of cybercrime victimization. Because the topic is understudied, it is unclear whether the impact of cybercrime differs from that of traditional crime. Our understanding of potential impact differences needs to be improved, considering that society and criminality are digitizing and, consequently, more people are likely to become victims of cybercrime. From a practical perspective, knowledge about the impact of different crimes is important to develop victim policies within law enforcement and other relevant agencies, and to treat victims appropriately. In this paper, a literature review is provided, as well as future research directions to address the current knowledge gap. The future research directions are divided in three topics: (1) distinguishing between cybercrime and traditional crime, (2) classifying cybercrime and traditional crime, and (3) measuring the victimization impact of cybercrime and traditional crime.

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Section: Studies Considering Cybercrime From a Victim Perspectivementioning

confidence: 99%

Section: Studies Considering Cybercrime From a Victim Perspectivementioning

confidence: 99%

Comparing the victimization impact of cybercrime and traditional crime

Borwell

Jansen²,

Stol³

2021

jdsr

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“…One common method is to get the victim to help, using a woman profile. In this example of fraud, the message states that the woman wants to meet the victim and that a certain amount of money must be sent in order for the woman to go to the victim's country (Jahankhani, Al-Nemrat, & Hosseinian-Far, 2014). In the method used in this fraud, the message that women are economically weak is conveyed to the other party.…”

Section: Internet Fraud (Cybercrime Fraud)mentioning

confidence: 99%

Strategic Social Work Management in Digital Violence Against Women

Özsungur

2021

Toplum Ve Sosyal Hizmet

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Bu çalışma, kadına yönelik dijital şiddette stratejik sosyal hizmet yönetimi ilkelerinin belirlenmesine odaklanmaktadır. Bu çalışmanın amacı, dijital unsurlar vasıtasıyla kadına karşı şiddetin ortaya koyduğu sebep ve sonuçların sosyal hizmet tarafından tespit edilmesi, yönetilmesi, tedbirlerin uygulanmasında stratejik unsurların belirlenmesidir. Çalışmada sistematik derleme yöntemi benimsenmiştir. Araştırmanın sonuçları, kadına yönelik dijital şiddetin davranış kalıplarının yıkıcı davranış, zorbalık, taciz, takip etme, göz korkutma, kontrol etme olduğunu göstermektedir. Stratejik sosyal hizmet yönetiminin analiz ve planlama, uygulama, kontrol, rekabet gücü, geri bildirim ve stratejik yenileme aşamalarından/adımlarından oluştuğu belirlenmiştir. Diğer bulgulara göre kadınların bilgisayar oyunları, siber taciz, siber savaş, internet dolandırıcılığı, sosyal medya, akıllı telefon uygulamaları, e-makaleler aracılığıyla dijital şiddete maruz kaldığı belirlendi. Sosyal hizmetin uygulama aşaması için önerilen uygulamalar ise e-cinsiyet ayrımcılığı önlemleri, kadın e-sığınağı / e-sığınma evi, kadın elektronik sporudur.

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“…Wall, 2007), such efforts tend to evolve over time following the evolution of technology and how people use that technology. Jahankhani et al (2014) provide a typology of cybercrime that includes a category defined by “using a computer as the instrumentality of the crime (e.g. fraudulent use of automated teller machine (ATM) cards and accounts, credit card and telecommunication fraud).” The extant research does not consider a form of crime in this category − the emerging form of cybercrime tied to shoplifting using technology, such as mobile phones and store devices, used either by employees or customers.…”

Section: Theorymentioning

confidence: 99%

Shoplifting in mobile checkout settings: cybercrime in retail stores

Aloysius

Arora

Venkatesh

2019

ITP

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Purpose Retailers are implementing technology-enabled mobile checkout processes in their stores to improve service quality, decrease labor costs and gain operational efficiency. These new checkout processes have increased customer convenience primarily by providing them autonomy in sales transactions in that store employee interventions play a reduced role. However, this autonomy has the unintended consequence of altering the checks and balances inherent in a traditional employee-assisted checkout process. Retailers, already grappling with shoplifting, with an estimated annual cost of billions of dollars, fear that the problem may be exacerbated by mobile checkout and concomitant customer autonomy. The purpose of this paper is to understand the effect of mobile checkout processes in retail stores on cybercrime in the form of shoplifting enabled by a technology transformed the retail environment. Design/methodology/approach The authors conducted an online survey of a US sample recruited from a crowdsourced platform. The authors test a research model that aims to understand the factors that influence the intention to shoplift in three different mobile checkout settings − namely, smartphone checkout settings, store-provided mobile device checkout settings, and employee-assisted mobile checkout settings − and compare it with a traditional fixed location checkout setting. Findings The authors found that, in a smartphone checkout setting, intention to shoplift was driven by experiential beliefs and peer influence, and experiential beliefs and peer influence had a stronger effect for prospective shoplifters when compared to experienced shoplifters; in a store-provided mobile devices checkout setting, experiential beliefs had a negative effect on shoplifters’ intention to shoplift and the effect was weaker for prospective shoplifters when compared to experienced shoplifters. The results also indicated that in an employee-assisted mobile checkout setting, intention to shoplift was driven by experiential beliefs and peer influence, and experiential beliefs had a stronger effect for prospective shoplifters when compared to experienced shoplifters. Originality/value This study is the among the first, if not first, to examine shoplifters’ intention to shoplift in mobile checkout settings. We provide insights into how those who may not have considered shoplifting in less favorable criminogenic settings may change their behavior due to the autonomy provided by mobile checkout settings and also provide an understanding of the shoplifting intention for both prospective and experienced shoplifters in different mobile checkout settings.

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Cybercrime classification and characteristics

Cited by 50 publications

References 2 publications

Comparing the victimization impact of cybercrime and traditional crime

Comparing the victimization impact of cybercrime and traditional crime

Strategic Social Work Management in Digital Violence Against Women

Shoplifting in mobile checkout settings: cybercrime in retail stores

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