Search results

The purpose of this study was to examine the relationship between online banking fraud experience and fear of cybercrime and distrust of online banking services, and to understand how perceived usefulness of online banking moderates the relationship.

The number of respondents involved in this study was 271 people from the Central Java region, Indonesia. Statistical analysis was performed using Jeffreys’s Amazing Statistics Program software to examine the relationships and interactions between the variables studied.

Experience of online banking fraud is positively related to fear of cybercrime and distrust of online banking services. Perceived usefulness of online banking moderates the relationship between online banking fraud experience and fear of cybercrime and distrust of digital payments. Perceived usefulness is negatively related to the level of distrust of online banking services.

Overall, the implications of this study underscore the importance of dealing with the risks of cybercrime in online banking services. By focusing on security, user awareness and the role of perceived usefulness, banking service providers can create a safer and more trusting environment for users of online banking services. This also contributes to the development of more innovative services and can increase customer satisfaction and trust.

The practical application of these findings is important for financial institutions and online banking service providers. Companies must improve cybersecurity with the latest technology and provide education about online security practices. Transparent communication and better customer service will help overcome customer fears. Compliance with security regulations and technological innovation is also important to protect online banking services. With these steps, customer security and trust can be improved, and the adoption of online banking services will increase widely.

The social implications of this research are increasing public awareness about cybersecurity, consumer protection and strengthening trust in online banking services. With joint efforts, a safer and more trusting environment in using online banking services can be realized.

The originality of this research lies in the use of perceived usefulness of online banking as a moderating variable to reduce the negative impact of online banking fraud experience. With a focus on the psychological effects of customers experiencing fraud, this research seeks to rebuild trust and improve the security of online banking services.

The criminalization of online financial fraud is examined by analyzing the existing literature, policies and state statutes within the context of the cybercrime ecosystem. Therefore, this paper aims to investigate online fraud policies within the USA and the prevalence of such incidents to explore the effectiveness of current fraud policies.

This examination explores policies related to online fraud within the USA by defining online financial fraud incidents within the context of the cybercrime ecosystem and analyzing such incidents with routine activities theory to emphasize the current legislative inadequacies with provisional policy recommendations.

This research suggests online financial fraud is not unanimously conceptualized among regulating or criminal institutions. Although federal regulators have governed financial institutions, federal institutions have failed to account for the capabilities of computer-mediated and technological device use (12 USC §1829).

The limited research analyzing the effectiveness of guardianship that prevents or deters internet-mitigated or dependent financial fraud crimes.

Policy recommendations include but are not limited to mandating federal and privatized financial institutions to disclose all fraudulent activity to all stakeholders (e.g. customers and local and federal criminal justice agencies).

This paper provides an innovative approach using a criminological theory and policy framework to examine the prevalence of online fraud and the regulations enacted to counteract such violations.

This paper aims to determine the level of online fraud offending within an Australian jurisdiction and how to best apply resources to combat it.

Empirical data were provided by an Australian law enforcement agency, and qualitative responses were obtained from the parties involved in the crimes themselves (the victims, the offenders and the nominated law enforcement agency).

Although there was variance between the ages of the online fraud victims, there was a slightly higher chance of an older member of the population falling victim to an offender than that of a younger person. The number of a particular gender reporting an instance of cybercrime in a given area can be higher if the total number of participants in that area was also high. Older victims were more likely to lose larger amounts of money to online fraud. Furthermore, it was found that when the non-gender identifiable data were removed, this increased to over 80 per cent.

Existing literature on online fraud and criminal offending generally focused on the quantitative aspects of measuring offending, which does not give an indication into the “why” component of the study: why are these offences being committed; why do these offenders pick particular victims; and why do the victims fall for such ruses? In this paper, the authors combined the qualitative responses obtained from those parties involved in the crimes themselves (the victims, the offenders and the nominated law enforcement agency) with a quantitative examination of the crime figures provided by an Australian law enforcement agency.

Victims of online fraud face a high level of blame from their families, friends, professionals, the broader community and often from themselves. Victims are commonly perceived as stupid, gullible and undeserving of justice. The reasons for this are under-researched, and there are currently no satisfactory explanations of why victim-blaming occurs so frequently in cases of online fraud. This paper aims to propose a potential theoretical explanation for the high level of blame experienced by online fraud victims.

Lerner’s Belief in a Just World (BJW) theory is posited as a helpful theoretical explanation for the high level of blame directed towards victims of online fraud.

This paper argues that Lerner’s BJW theory is a helpful framework for understanding the blame faced by victims of online fraud because it posits that behavioural responsibility (a trait commonly ascribed to online fraud victims) is central to perceived blameworthiness; and that compensation for a crime determines the level of blame directed towards victims. As victims of online fraud are exceptionally unlikely to receive any type of compensation (whether monetary or otherwise), BJW may help explain the blame directed towards victims.

Prior scholarship predominantly understands the blame faced by online fraud victims through the lens of Nils Christie’s (1986) “ideal victim” thesis. This paper presents an advance over this existing understanding by illustrating how BJW provides a more detailed explanation for victim blame in online fraud.

This paper aims to develop a theoretical framework to predict susceptibility to cyber-fraud victimhood.

A survey was constructed to examine whether personality, socio-demographic characteristics and online routine activities predicted one-off and repeat victimhood of cyber-fraud. Overall, 11,780 participants completed a survey (one-off victims, N = 728; repeat victims = 329).

The final saturated model revealed that psychological and socio-demographic characteristics and online routine activities should be considered when predicting victimhood. Consistent with the hypotheses, victims of cyber-frauds were more likely to be older, score high on impulsivity measures of urgency and sensation seeking, score high on addictive measures and engage in more frequent routine activities that place them at great risk of becoming scammed. There was little distinction between one-off and repeat victims of cyber-frauds.

This work uniquely combines psychological, socio-demographic and online behaviours to develop a comprehensive theoretical framework to predict susceptibility to cyber-frauds. Importantly, the work here challenges the current utility of government websites to protect users from becoming scammed and provides insights into methods that might be used to protect users from becoming scammed.

The purpose of this paper is to investigate and analyze the adoption of digital technologies in the banking industry and its impact on the rise of digital fraudulent activities, specifically focusing on online banking frauds. This paper aims to provide insights into the current technologies implemented by banks to secure their online banking systems and explores the methods used by cybercriminals to exploit security vulnerabilities in these systems.

In order to understand how digital technologies in banking can be secured against online fraud, this research conducted a systematic literature review (SLR) on digital banking, online banking fraud, and security measurements. The review encompasses a variety of sources from online databases such as Emerald Insight, Google Scholar, IEEE, JSTOR, Springer and Science Direct.

The key finding of the paper is that the adoption of digital technologies in the banking industry has led to a significant increase in digital fraudulent activities, particularly in the form of online banking frauds. This paper emphasizes that these frauds have become a global concern and have evolved into an industry where cybercriminals use sophisticated tools such as phishing attacks, denial-of-service attacks, Trojan horses, malware infections, identity theft and computer viruses.

This study relies solely on a literature review without incorporating primary data or case studies; therefore, it might miss out on the firsthand experiences and perspectives of banks and cybersecurity professionals.

This study emphasizes the need for banks to adopt advanced security measures to safeguard their online banking systems.

This study underscores the importance of ongoing training and awareness programs for both bank employees and customers.

This study specifically addresses the adoption of digital technologies in the banking industry and its correlation with the increase in digital fraudulent activities. This focus on the intersection of technology and fraud in the banking sector is a distinctive aspect. This study conducts a SLR to examine the current technologies implemented by banks to safeguard their online banking systems. This comprehensive approach provides insights into the diverse security measures used by banks to protect against various types of cyber threats.

This paper aims to provide information of parameters and techniques used in the automated fraud detection system during online transaction. With the increase in the use of online transactions, the concerns regarding data security have also increased. To tackle the frauds, lot of research has been done and plethora of papers are available on the related topics. The purpose of this paper is to provide the clear pathway for researchers to move in the direction of development of automated fraud detection system to prevent the fraud during online transaction.

This literature review analyses and compares the different types of techniques for detecting fraud during online transaction. An in-depth study of the most prominent journals has been done and the core methodology of the papers has been presented. This article also shed some light on different types of parameters used in fraud detection techniques during online transaction.

There are vast varieties of various fraud detection techniques, and every technique has completed task in its own way. After studying approximately 41 research papers, 14 books and four reports, in total 30 parameters have been identified and a detailed study of the parameters has been presented. The parameters are also listed with their details that how these parameters are used in the security system for detecting online transaction fraud.

This paper provides empirical insight about the parameters and their prominence in the development of automated fraud detection security system of online transaction. This paper encourages the researchers to development of improved fraud detection system.

This paper will pave the way for researchers to do a focused research on the fraud detection methodologies. The analysis will help in zeroing down the most prevalent topic of research in this field. The researchers will be able to understand the internal details of parameters and techniques used in the fraud detection systems. This literature also helps the research to think in a variety of ways that how these parameters will be used in the development of fraud detection system.

This paper is one of the most comprehensive reviews in its field. It tries and attempts to fill a void created because of lack of compilation of the laid fraud detection parameters.

The purpose of this paper is to provide a comprehensive review of the respondents’ fraud phenomenon in online panel surveys, delineate data quality issues from surveys of broad and narrow populations, alert fellow researchers about higher incidence of respondents’ fraud in online panel surveys of narrow populations, such as logistics professionals and recommend ways to protect the quality of data received from such surveys.

This general review paper has two parts, namely, descriptive and instructional. The current state of online survey and panel data use in supply chain research is examined first through a survey method literature review. Then, a more focused understanding of the phenomenon of fraud in surveys is provided through an analysis of online panel industry literature and psychological academic literature. Common survey design and data cleaning recommendations are critically assessed for their applicability to narrow populations. A survey of warehouse professionals is used to illustrate fraud detection techniques and glean additional, supply chain specific data protection recommendations.

Surveys of narrow populations, such as those typically targeted by supply chain researchers, are much more prone to respondents’ fraud. To protect and clean survey data, supply chain researchers need to use many measures that are different from those commonly recommended in methodological survey literature.

For the first time, the need to distinguish between narrow and broad population surveys has been stated when it comes to data quality issues. The confusion and previously reported “mixed results” from literature reviews on the subject have been explained and a clear direction for future research is suggested: the two categories should be considered separately.

Specific fraud protection advice is provided to supply chain researchers on the strategic choices and specific aspects for all phases of surveying narrow populations, namely, survey preparation, administration and data cleaning.

This paper can greatly benefit researchers in several ways. It provides a comprehensive review and analysis of respondents’ fraud in online surveys, an issue poorly understood and rarely addressed in academic research. Drawing from literature from several fields, this paper, for the first time in literature, offers a systematic set of recommendations for narrow population surveys by clearly contrasting them with general population surveys.

Technology advancement has changed how banks operate. Modernizing technology has, on the one hand, made it simpler for banks to do their daily business, but it has also increased cyberattacks. The purpose of the study is to to determine the factors that have the most effects on online fraud detection and to evaluate the advantages of AI and human psychology research in preventing online transaction fraud. Artificial intelligence has been used to create new techniques for both detecting and preventing cybercrimes. Fraud has also been facilitated in some organizations via employee participation.

The main objective of the research approach is to guide the researcher at every stage to realize the main objectives of the study. This quantitative study used a survey-based methodology. Because it allows for both unbiased analysis of the relationship between components and prediction, a quantitative approach was adopted. The study of the body of literature, the design of research questions and the development of instruments and procedures for data collection, analysis and modeling are all part of the research process. The study evaluated the data using Matlab and a structured model analysis method. For reliability analysis and descriptive statistics, IBM SPSS Statistics was used. Reliability and validity were assessed using the measurement model, and the postulated relationship was investigated using the structural model.

There is a risk in scaling at a fast pace, 3D secure is used payer authentication has a maximum mean of 3.830 with SD of 0.7587 and 0.7638, and (CE2).

This study focused on investigating the benefits of artificial intelligence and human personality study in online transaction fraud and to determine the factors that affect something most strongly on online fraud detection. Artificial intelligence and human personality in the Indian banking industry have been emphasized by the current research. The study revealed the benefits of artificial intelligence and human personality like awareness, subjective norms, faster and more efficient detection and cost-effectiveness significantly impact (accept) online fraud detection in the Indian banking industry. Also, security measures and better prediction do not significantly impact (reject) online fraud detection in the Indian banking industry.

The purpose of this paper is to examine the current prevention messages that exist surrounding the prevention of online fraud. In particular, it focuses on the amount and level of detail that is promoted for each type of potential fraudulent approach.

Multiple data sources are used to establish the main premise of this paper. This includes the publication entitled The Little Black Book of Scams, qualitative data from victims who have experienced online fraud, and materials collected through a police investigation into online fraud.

Results of this analysis indicate that current prevention messages are characterised by a large degree of detail about the various ways that (online) fraud can be perpetrated. This is argued to be ineffective, based on the experiences of victims who were unable to apply their previous knowledge about fraud to their experiences. Additionally, the categorisation of fraudulent approaches is highlighted as unimportant to offenders, who are focused on obtaining money by whatever means (or approach) possible.

This paper provides the impetus to evaluate the effectiveness of current prevention messages. It points to a simplification of existing prevention messages to focus more importantly on the transfer of money and the protection of personal information.

This paper argues that current prevention messages are characterised by too much “white noise”, in that they focus on an overwhelming amount of detail. This is argued to obscure what should be a straightforward message which could have a greater impact than current messages.