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The purpose of this study is to develop a theoretical model for consumer behavioral intention by integrating the technology acceptance model (TAM) and the theory of perceived risk, which is tested on the intended use of credit cards in Vietnam.

The data were collected from 485 bank customers through a nationwide online survey. An exploratory and confirmatory factor analyzes were performed to validate the factor structure of the measurement items while structural equation modeling was used to validate the proposed model and testing the hypotheses.

The results of structural equation modeling reveal that perceived risk, perceived usefulness, social influence and perceived ease of use were significant determinants of consumer intention to use a credit card. Of them, only perceived risk discouraged the intended use of a credit card, which was synthesized from psychological, financial, performance, privacy, time, social and security risk.

This study measured the first-order risk dimensions based on the payment function of the credit card only; these measurements missed potential losses relevant to credit function of credit cards.

This study can be beneficial to banks enacting policies to attract more consumers and to help decide how to allocate resources to retain and expand their customer base.

The study adds value to the literature on consumer behavior by confirming the impact of second-order perceived risk on the intended use of credit cards, which most previous studies have not demonstrated. The research also provides an empirical evidence to the academic research platform on e-banking services in Vietnam, especially related to the credit card industry.

Buying behavior has been significantly altered by technological developments as a result of the rise of the Internet. Online buying behavior is also inextricably linked to electronic payment systems, such as credit cards. This paper investigates how credit-card systems and online shopping increases compulsive buying of female and male consumers.

In the current study, the authors tested the influence of credit card possession and the role of Internet shopping on gender differences in compulsive buying in a representative German sample (n = 1,038). Binary logistic regression analysis and moderator analysis were applied.

As predicted, Internet shopping increased compulsive buying, but the association was the same for females and males. Further, credit card possession moderated the effect of gender on compulsive buying, with females showing a higher proneness to compulsive buying.

This research, which is based on a representative population study, contributes to the understanding of the role of credit cards and the one of online shopping in developing compulsive buying patterns among female and male consumers.

The purpose of this paper is to explore the application of Kafalah in the practice of Islamic banking in Malaysia generally and ascertain applicable rules governing the application under relevant legislations and Shariah. The study also aims to examine the legislations in the light of Shariah provisions governing Kafalah and propose amendments.

This is a qualitative research where primary data sources mainly legislations and secondary sources comprising of articles and books on the subject of Kafalah were examined. It is an exploratory legal research that primarily focuses on library studies and adopts doctrinal approach for content analysis of data from the identified sources.

Kafalah is widely used in Islamic banking in Malaysia with primary or secondary application in structuring such products/services as personal guarantee, bank guarantee, Islamic credit card among others. The substantive law applicable to Kafalah in Islamic banking in Malaysia is the Contracts Act 1950 as decided cases indicate. However, provisions of the Act are at variance with rules of Shariah applicable to Kafalah on absolution of guaranteed debtor, multiple guarantors’ liability towards guaranteed sum as well as recourse and recovery from principal debtor.

This research explored the practice of Kafalah in Islamic banking under Malaysian legal framework based on the available literature. The research does not embody an empirical evaluation.

This research suggests, with respect to the identified issues, an amendment to the Act for clarification as follows: that recourse and recovery from principal debtor is only where creditor has requested guarantor to settle outstanding debt, that presence of surety does not absolve principal debtor from his original liability and that multiple guarantors stand as having equal responsibility towards guaranteed amount. The research findings will assist policy and law makers to harmonize the relevant laws with the Shariah to facilitate sustainable development of Islamic banking.

This paper aims to provide an economic rationale for Islamic finance.

Its methodology is simple. It starts with listing the contributions to economic analysis relevant to the required rationale in the theories of banking, finance, price, money and macroeconomics, to identify the main rationale for Islamic finance. A concise description of the author’s model for an Islamic economic system, within which Islamic finance can be operational, is provided.

The paper finds distinct advantages of Islamic finance, when properly applied within the author’s model. Islamic finance can therefore be a candidate as a reform agenda for conventional finance. It opens the door for significant monetary reform in currently prevalent economic systems.

The first limitation of the paper is that the distinct benefits of Islamic finance are all of macroeconomic types which are external to Islamic banking and finance institutions. They are therefore not expected to motivate such institutions to apply Islamic finance to the letter, without regulators interference to ensure strict application. The second limitation is the necessity to set up enabling institutional and regulatory arrangements for Islamic finance.

The results are unique as they challenge the received doctrine and provide non-religious rationale for Islamic finance.

This chapter argues that the Americanisation of online policing has questionable impacts in Australian prosecutions involving drugs obtained and distributed through dark web cryptomarkets. The authors describe several Australian prosecutions of mid- and low-level dealers who have accessed drugs through the dark web and contrast these with the United States (US) case against the cryptomarket, AlphaBay. The discussion in this study emphasises how Australian police and courts view the relative weight of dark web activity associated with the domestic and transnational supply of illicit drugs that result in formal prosecutions. The authors suggest that large-scale forms of online and dark web police surveillance undertaken by US enforcement agencies reflect Ethan Nadelmann’s (Cops across borders: the internationalization of US criminal law enforcement, University Park: Pennsylvania State University Press, 1993) thesis on the Americanisation of global policing through transnational communications networks. The authors then explain how key elements of transnational dark web drug supply appear to have a marginal bearing on criminal investigations into low- and mid-level traffickers in Australia, which rely on conventional surveillance tactics to identify clandestine mail pickups, physical distribution methods, and irregular money trails. However, the authors then illustrate how the Americanisation of online policing that targets high-level entrepreneurs and seeks to dismantle or eliminate dark web cryptomarkets has important implications on Australian reforms aimed at enhancing online surveillance powers to target a range of crimes that are often wrongly associated with illicit drug cryptomarkets. The authors conclude by demonstrating how intensive dark web surveillance has limited direct impact on routine drug policing in Australia, with dark web communications simply another medium for facilitating the physical detection of illicit transnational drug transactions.

This study explores the benefits of business financial inclusion from the Islamic perspective in Nigeria by selecting Kano state as a case study.

Primary data were generated through semi-structured interviews with experts who comprised professional accountants/consultants and experienced traders. Thematic analysis was applied to examine the data collected. In addition, observations were made in some selected stores and shops to complement the interview results.

The study finds that the benefits of business financial inclusion include recordkeeping improvement, reduction of the risks of bad debts, reduction of the risks associated with cash, enhancing business zakāh for poverty alleviation, sales improvement and business growth, getting supports from government and other development organizations and the provision of employment opportunities.

This study is purely qualitative, and, as such, it has some limitations in terms of generalization.

The practical implication of this study is that the use of electronic payment methods, especially point of sales, enhances the business financial inclusion, which consequently maximizes their wealth and contributes to the reduction of poverty to the barest minimum in the society.

The social implication of the findings is that businesses that are financially included are in a better position to discharge religious, philanthropic and other benevolent activities, such as zakāh, qard hasan, waqf and sadaqah, for the welfare of the ummah.

The study points out the benefits of financial inclusion not only to businesses but also to other members of the society at large.

Tawarruq (Islamic commodity financing) has evolved as the most ubiquitous concept in Malaysia’s Islamic banking industry. Nevertheless, the extensive use of tawarruq has invoked a number of Sharīʿah (Islamic law) concerns in its practice. This study aims to investigate the Sharīʿah non-compliant (SNC) phenomena in the practice of tawarruq financing in Malaysia.

This study adopts qualitative research methodology, combining both descriptive and content analysis. A self-administered questionnaire was distributed to 16 Malaysian Islamic commercial banks to unveil the Sharīʿah non-compliance issues in the application of tawarruq in Islamic banks (IBs) in Malaysia.

The study found that some practices of tawarruq in Malaysia might not comply with the Sharīʿah, mainly due to the improper sequencing of contracts. The study also discovered that IBs adopt different approaches in dealing with SNC events and the income derived therefrom. Finally, the study noted the influence of board of director/management on certain Sharīʿah decisions particularly on the treatment of non-ḥalāl (impermissible) income.

The findings of the study serve as a reference to industry players and regulators in formulating a Sharīʿah non-compliance risk management framework for tawarruq practices.

The survey on SNC issues in tawarruq practice constitutes the first of its kind in the existing literature.

Despite 2016 legalization of recreational cannabis cultivation and sale in California with the passage of Proposition 64, many cannabis businesses operate without licenses. Furthermore, federal regulations disincentivize financial institutions from banking and lending to licensed cannabis businesses. The authors explore the impact of legal cannabis business activity on California financial institutions, the barriers to banking faced by cannabis businesses, and the nontraditional sources of financing used by the industry.

The authors use a mixed methods approach. The authors utilize call data for banks and credit unions headquartered in California and state cannabis licensing data to estimate the impact of the extensive and intensive margins of licensed cannabis activity on key banking indicators using difference-and-difference and fixed effects regressions. The qualitative data come from interviews with industry stakeholders in northern California's “Emerald Triangle” and add important context.

The quantitative results show economically and statistically significant impacts of licensed cannabis activity on banking indicators, suggesting both direct and spillover effects from cannabis activity to the financial sector. However, cannabis businesses report substantial barriers to accessing basic financial services and credit, leading to nontraditional financing arrangements.

The results suggest opportunities for cannabis businesses and financial institutions if regulations are eased and important avenues for further study.

The authors contribute to the nascent literature on cannabis economics and the literature on banking regulation and nontraditional finance.

Financial health of a corporation is a great concern for every investor level and decision-makers. For many years, financial solvency prediction is a significant issue throughout academia, precisely in finance. This requirement leads this study to check whether machine learning can be implemented in financial solvency prediction.

This study analyzed 244 Dhaka stock exchange public-listed companies over the 2015–2019 period, and two subsets of data are also developed as training and testing datasets. For machine learning model building, samples are classified as secure, healthy and insolvent by the Altman Z-score. R statistical software is used to make predictive models of five classifiers and all model performances are measured with different performance metrics such as logarithmic loss (logLoss), area under the curve (AUC), precision recall AUC (prAUC), accuracy, kappa, sensitivity and specificity.

This study found that the artificial neural network classifier has 88% accuracy and sensitivity rate; also, AUC for this model is 96%. However, the ensemble classifier outperforms all other models by considering logLoss and other metrics.

The major result of this study can be implicated to the financial institution for credit scoring, credit rating and loan classification, etc. And other companies can implement machine learning models to their enterprise resource planning software to trace their financial solvency.

Finally, a predictive application is developed through training a model with 1,200 observations and making it available for all rational and novice investors (Abdullah, 2020).

This study found that, with the best of author expertise, the author did not find any studies regarding machine learning research of financial solvency that examines a comparable number of a dataset, with all these models in Bangladesh.

The growth in cryptomarkets has reinvigorated the research on illicit drug distribution due to the availability of large-scale data. This data has enabled researchers to ask new and detailed questions about how participants in these markets trust each other enough for the market not to collapse. This question deserves more attention because it has become a taken-for-granted notion that repeated transactions and social categories create trust. Whether online or on the street, economic exchanges under illegality are more uncertain than transactions in the legal economy. This puts higher demands on trust, as there is less information and the stakes are higher. In this chapter, the author presents definitions, typologies, and disciplinary contributions to the study of trust and examine how it has been operationalised in a sample of 13 peer-reviewed articles. These articles focus on three dimensions of trust: process-based trust that derives from repeated transactions with known partners; character-based trust measured by the networked reputation scores; and institutional-based trust in the platform and its administrators. In practice, the trust bases are intertwined. Drawing on the broader social science literature on trust, a mesolevel operationalisation that centres on networked reputation scores as embedded in processes and institutions can draw the research together in a multidisciplinary framework.