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Money laundering and terrorism financing use the banking sector system illegally and result in enormous losses for the state and nation. Regulatory Technology (RegTech) is an important part of effectively preventing money laundering and terrorism financing. However, the implementation of RegTech related to the prevention of money laundering and terrorist financing, especially in the Indonesian banking sector, has not been widely studied and discussed. Therefore, this study aims to provide empirical testing evidence regarding the effectiveness of RegTech implementation in the Indonesian banking sector to prevent money laundering and terrorist financing.

This study uses primary data obtained through a survey distributed to 160 bankers who work in eight different banks in Indonesia with a 95% confidence level and a confidence interval of 7.75. The criteria needed to determine the sample in this study are individuals who actively work as staff whose work is directly related to banking; individuals who are actively working in banks registered with OJK; individuals who have been actively working in the banking sector in Indonesia for at least three years. The data that has been obtained were analyzed using the SmartPLS application to test the validity and reliability, descriptive statistics and structural models (inner model).

The results of this study indicate that electronic know your customer (eKYC), transaction monitoring (TM), cost and time efficiencies (CTE) influence the prevention of anti-money laundering (AML) and countering financing of terrorism (CFT) in the Indonesian banking sector. However, eKYC and CTE have little influence on AML-CFT in the Indonesian banking sector. Meanwhile, TM has a moderate influence on AML-CFT in the Indonesian banking sector. In addition, in general, most bankers agree that the bank they work for has followed the guidelines, policies and regulations that have been given.

This study uses the Indonesian banking sector as a research subject that raises the effectiveness of the implementation of the use of RegTech to prevent money laundering and terrorism financing.

This study aims to offer quantitative data on the expansion of Islamic accounting literature. The analysis concentrated on publishing patterns, nations that conduct Islamic accounting research, prominent contributors, leading writers, highly productive nations, keywords and papers with the greatest citations.

The author describes the field’s development and structure, including co-citation, co-authorship and bibliographical coupling, using a bibliometric approach combined with content analysis. The author discovers that Malaysia is the most pertinent nation, Universiti Sains Islam Malaysia is the most pertinent university and the most pertinent journal is the Journal of Islamic Accounting and Business Research.

The author stresses the importance of critically assessing such approaches as more research looks into the possible contribution of Islamic banks to the provision of Shari’ah-compliant microfinance to rural small and medium enterprises. Finally, all business models are changing paradigms as a result of Industry 4.0. information and communication technology advancements might increase the adoption of Islamic accounting. Future research could create Shari’ah-compliant Islamic accounting models based on financial technology (fintech) for the benefit of underprivileged business owners who have little access to accounting and financing through conventional financial channels. The consideration of the necessity of regulatory reform to enhance the practical feasibility of Islamic accounting as a vehicle for economic transformation could also be helpful to policymakers.

Future research could create Shari’ah-compliant Islamic accounting models based on financial technology (fintech) for the benefit of underprivileged business owners who have little access to accounting and financing through conventional financial channels. The study’s consideration of the necessity of regulatory reform to enhance the practical feasibility of Islamic accounting as a vehicle for economic transformation could also be helpful to policymakers.

This paper aims to present a comprehensive assessment of the literature about the research agenda for future studies on risk management in small and medium-sized businesses (SMEs) with a research agenda for bibliometric analysis. The author's goals are to point out inconsistencies and gaps in the literature and to suggest directions for future study.

A total of 147 papers were analyzed in terms of bibliographic information, research design, and findings. These included publication by year, most cited documents, citation by year, publication by authors, publication by subject area, publication by country, publication by affiliation, funding sponsor, network representation of keyword co-occurrence, and cluster visualization of keyword co-occurrence. This study used bibliometric analysis methods, keyword searches, and suitability assessment for bibliometric analysis.

The bibliometric research revealed a number of potential risk categories for small and medium enterprises (SMEs). In addition, an analysis of the risk-related elements aimed to avoid or reduce their adverse effects, the published study highlights how crucial a risk management procedure is for SMEs. Risk factors were also shown to be unavoidable; as a result, everyone needs to practice social responsibility in order to reduce the detrimental effects on the economy.

Future studies are required on risk identification, analysis, plan implementation, and control in the context of small and medium-sized enterprise risk management.

This work represents the first in a bibliometric analysis of risk management in small and medium-sized enterprises (SMEs) for the future research agenda.

The purpose is to conduct a systematic review of circular water management and its role in improving water availability amid increased demand and decreased supply.

A systematic literature review was implemented, which helped in the identification, selection and critical appraisal of the various research to answer the research question. It was guided by the Preferred Reporting Items for Systematic Reviews (PRISMA) statement. The review was conducted mainly on Web of Science and Scopus databases between November 20 and December 8, 2022, with search strategies involving free-text searching, phrase searching, truncation and Boolean operators.

The search process yielded 46 articles exploring circular water management. The findings reveal that circular water management offers more promise than linear or business-as-usual approaches. There are various circular water management models, although most of them emphasize a shift from the “take, make, consume and waste” principles. Contrarily, the success of the circular water management framework hinges on its ability to embrace resilience based on changing environmental conditions. Furthermore, the model focuses on improving inclusiveness with various stakeholders working together to improve water management.

The research is the first of its kind as it identifies a critical gap, the imperative need to develop a universal framework that can significantly advance the comprehension of circular water management.

Regarding the magnitude of the impact caused by money laundering, the size of the organization and the many parties involved, this paper aims to explore the methods used in detecting money laundering, especially the use of technology.

This research is a literature review from various research sources originating from Pro-Quest, Emerald, Science Direct and Google Scholar.

The researchers found that the most widely used methods for detecting money laundering were artificial intelligence, machine learning, data mining and social network analysis.

This research is expected to help the government or institutions such as the police, forensic accountants and investigative auditors in the fight against money laundering. This research is limited to only a few sources, and it is hoped that further research can explore more deeply related to other methods for detecting money laundering.

This paper discusses the methods that are widely used in detecting money laundering.

The purpose of this study is to exploration potential money laundering crimes with virtual currency facilities in Indonesia. Money laundering using crypto is the process of disguising the origin of money obtained illegally. Then, the perpetrator transfers it to a legitimate business. Virtual money then started to become a phenomenon in society since the emergence of cryptocurrencies as a form of technology development of e-commerce activities.

This research method is normative law which is prescriptive. The data collection technique used is document study or literature study by collecting primary and secondary legal materials.

The results of this study show that the bitcoin virtual currency has the potential to act as a means of money laundering. There are technologies and online platforms that are moving with more sophisticated methods. Through bitcoin exchanges, it has the greatest potential for money laundering. The usage of virtual currency (cryptocurrency) by those who commit money laundering offenses is responsible for the actions’ severe negative effects on the State of Indonesia.

To the best of the author’s knowledge, this is the first study conducted in Indonesia that explores potential money-laundering crimes using virtual currency facilities.

Efforts to prevent and eradicate the crime of money laundering require a strong legal basis to ensure legal certainty. This paper aims to analyse law enforcement on money launderers with juridical review perspectives.

The research method used in this study is the statute approach, which is to examine all laws and regulations related to the crime of money laundering. The writing method used is the normative method, which is a type of research that uses the analysis of certain legislation.

Three new findings were discovered. In assessing the validity or validation of a business ownership or business transaction, there are at least three pieces of evidence that need to be used, namely, presence/absence of company/business registration in an official government database; the presence/absence (including the amount) of tax reported on income tax and VAT; and the presence/absence of other legal documents relating to the existence or general licensing of a business.

The results of this study are also expected to be helpful for the community, government agencies, or institutions, such as the police, to combat corruption, and money laundering. The Prosecutor's Office and the Corruption Eradication Commission (KPK) describe the handling of money laundering crimes originating from money laundering crimes.

This research can provide an overview and input for the broader community as an early warning so as not to commit money laundering crimes.

This is one of the pioneer studies looking into law enforcement on money launderers with comprehensive juridical review.

The purpose of this paper is to find out the role and factors that lead to efforts by banking institutions to deal with money laundering by using the principle of knowing your customer.

This research method uses a sociological juridical approach and descriptive analysis in analyzing the data.

The results of the study found that the implementation of the principle plays a role in identifying each transaction, and if there is a transaction that is considered suspicious, each bank is required to report the transaction to the center for reporting and analysis of financial transactions.

Banks must reduce the risk of being used as a means of money laundering by knowing customer identities, monitoring transactions, maintaining customer profiles and reporting suspicious transactions made by parties using bank services. The application of the know your customer principle (KYCP) is based on the consideration that KYCP is not only important in the context of eradicating money laundering but also in the context of implementing prudential banking to protect banks from various risks in dealing with customers.

To the best of the author’s knowledge, this is first empirical study of banking in Indonesia that conduct money laundering crimes through application of KYCPs.

In the case of money laundering (ML) originating from the predicate crime of corruption, law enforcers find it difficult to prove all or the existence of a predicate crime on assets that produce assets. This paper aims to analyze ML in corruption cases in Indonesia.

This research uses qualitative descriptive methods. This research discusses the law enforcement of corruption which coincides with the crime of ML.

New findings were discovered where against the corruption case which was carried out concurrently with the crime of money laundering, the value of which was Rp. 1bn and above and has been handled by investigators from the Corruption Eradication Commission (KPK), so the prosecution process is carried out by the public prosecutor from the KPK to continue the trial to the Corruption Court. With respect to cases of criminal acts of corruption, which were carried out concurrently with ML crimes, the value of which was Rp. 1bn and below and had been handled by the prosecutor’s investigators from the start, the prosecution process was carried out by the public prosecutor from the prosecutor’s office to continue the trial to the corruption court.

To the best of the authors’ knowledge, this is the first study to use normative perspective on ML in corruption cases (white-collar crime). In contrast to previous studies that take fraud in general as an object of research, researchers are now interested in focusing more research on detecting suspected ML crimes: a case study on corruption cases in Indonesia.

While the adoption of accounting information systems (AIS) is crucial in developing countries owing to the rapidly changing business environment, the emerging factors in its successful implementation continue to be inconsistent. This systematic literature review (SLR) aims to understand the emerging factors of underlying successful AIS implementation, with a specific focus on developing countries.

A total of 70 empirical studies from 2017 to 2024 were analysed using an SLR technique. Studies including the search term “accounting information systems” OR “AIS” AND “developing countries” in their titles, keywords or abstracts were retrieved from five digital databases. The articles were analysed and synthesised using thematic analysis.

The findings revealed six key themes: (1) AIS literacy, (2) automation in AIS, (3) cloud-based AIS, (4) cultural factors, (5) environmental factors and (6) mobile accessibility and 25 subthemes.

A comprehensive understanding of these gaps will enable academics, policymakers and AIS professionals to make well-informed decisions and enhance the efficacy and efficiency of AIS operations.

The thematic analysis highlights the theoretical gaps and exposes areas where the connection between factors may be inadequate to indicate future study avenues.