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The purpose of this paper is to explain the operating background of combating money laundering in transition countries, to demonstrate the unique phenomenon of “adopt but not enforce” and “selective implementation,” to discuss the role of anti‐money laundering (AML) system as a part of political confrontation between transition countries and developed countries, and finally to criticize the defensive reporting in transition countries' financial institutions.

The paper analyzes the inherent limitations and practical issues in combating money laundering in transition countries, and provides various cases as well as statistic data to illustrate the AML difficulties faced by transition countries.

Many transition countries have taken AML actions during the past decade, however, the AML systems in these jurisdictions are not effective yet. AML motivations in transition countries are mainly surrounding international pressures and domestic political needs.

The paper highlights the unsound operating environment of fully implementing AML legislations in transition countries, and critically demonstrated that the effectiveness of AML systems in transition countries is heavily influenced by domestic and international political considerations.

This paper attempts to examine the practical condition of implementing risk‐based approach (RBA) in Chinese financial sectors.

This paper compares the differences between rule‐based approach and risk‐based approach (RBA), and provides different options to financial institutions considering their own circumstances.

This paper finds that capacity constraint is an issue for directly transplanting the RBA performed by developed countries to Chinese financial institutions.

This paper creatively proposes a rule‐based but risk‐oriented AML approach or partial RBA that fits Chinese financial institutions' reality underpinned by Chinese culture, and correspondingly, different assessment methods are presented as well.

The purpose of this conference paper is to provide a contextual and better understanding of the nexus between corruption and money laundering, in order to enhance the role of anti‐money laundering (AML) in combating corruption.

This paper analyses the key elements of the linkage between AML and anti‐corruption, and provides Australia and China as examples, demonstrating the potential importance of using AML to combat corruption.

It is found that apart from the main financial sectors, designated non‐financial sectors and high‐risk customers involved businesses are also vulnerable for money laundering, such as non‐financial designated business and professions, and politically exposed persons. In the meantime, these factors are regarded as the key points to combat corruption.

This paper highlights the corruption risks hidden in designated non‐financial business and professionals, and the risks of laundering the proceeds of corruption by politically exposed persons and financially exposed persons (FEPs).

The purpose of this paper is to systematically introduce the latest documents of customer due diligence (CDD) issued by international organizations and developed countries, and to examine practice of CDD in China.

This paper reviews the latest regulations and guidelines of CDD at international level, and critically examines the practice on CDD compliance in China.

Although China has developed series of provisions concerning CDD since 2007 to response the international requirement set by Financial Action Task Force, the practical compliance still has long way to improve.

This paper usefully highlights the difference between Chinese practice and international standards, and proposes institutional reforms on CDD compliance in Chinese financial sectors.

The purpose of this paper is to explain the rule‐based and risk‐based anti‐money‐laundering (AML) approach, to demonstrate the implementation problems in carrying out a risk‐based approach (RBA) to AML and finally propose in what way the RBA should be conducted in China.

This paper analyzes the practice of money‐laundering risk management in Chinese AML programs, compares the rule‐based AML approach and the risk‐based AML approach, and discusses the practical condition of carrying out the risk‐based AML approach in China.

Although China has made significant progress on combating money laundering, the practice of money‐laundering risk management in Chinese AML programs is still weak, and the pre‐conditions for fully implementing the RBA in China are yet to be met.

This paper highlights the practical issues preventing Chinese authorities from fully implementing a risk‐based AML approach, and proposes a “rule‐based but risk‐oriented” AML approach (a partial RBA) in the context of Chinese realities.

The purpose of this paper is to reveal the money laundering vulnerabilities of internet payment services, to analyse the key elements of conducting risk‐based approach (RBA), and finally to provide recommendations of apply RBA to anti‐money laundering (AML) regulations on internet payment services in China.

This paper analyses the characteristics of internet payment systems, introduces the latest arrangements associated with the third‐party payment services and payment and settlement system in China, and provides case of Alipay to illustrate the importance of carrying out AML regulation on Chinese internet payment industry.

The internet payment industry in China is increasingly booming, but the regulation in this field is obviously lagged. Recent regulation arrangements published by the People's Bank of China present the determination of Chinese Government to put the third‐party payment industry (including internet payment service) under the national AML regulation.

This paper highlights the money laundering vulnerabilities of internet payment services in China and recommends that AML regulation on internet payment services should focus on “back‐end” account controls on the basis of risk‐rating practice.

This paper proposes to use system integration between customer relationship management (CRM) and anti‐money laundering (AML) suspicious data reporting in commercial banks to increase the initiative of suspicious transaction identification, reduce the false reporting rates, and improve the intelligence quality.

This paper introduces the structure of CRM in commercial banks, discusses deficiencies of the current AML data reporting system, and designs the layering of CRM and AML transaction identification module.

This paper finds that the functions of customer behavior analysis and customer background investigation of CRM system can be redesigned and used for increasing the quality of AML suspicious transaction reporting in commercial banks.

This paper creatively proposes that system integration of CRM and AML suspicious transaction reporting can make a contribution to reducing the AML cost for commercial banks.

This paper attempts to explain the key elements and associated definitions of the financial institutions' enterprise‐wide anti‐money laundering (AML) information system, and to discuss the technical theory for implementing the information system.

The paper defines the problems of defensive filing in the suspicious transaction reports, proposes AML practice from objective standard principle to subjective assessment principle, and provides detailed description of enterprise‐wide AML solution.

As rule‐based AML approach and objective‐standard monitoring principle have led to numbers of practical problems, a significant tendency of regulatory reform is to replace the objective‐standard principle by comprehensive risk‐assessment process with considerations of the enterprise's reality.

The paper presents the latest development in enterprise‐wide AML information system construction, including customer risk evaluation, transaction risk measurement, behavior monitoring technology, link analysis, risk ranking and workflow tools, etc. and major fundamentals and functions of these modules are also discussed.

This study aims to apply the elaboration likelihood model to explore when, how and why robotic services increase customer engagement.

A field survey and two experiments were conducted to examine the proposed theoretical framework.

The robots’ proactive behavior encouraged customers to trust and engage with them. The influence of this behavior on customer engagement increased for highly interaction-oriented customers or when the reputations of companies were poor.

The findings can inform the efficient management of customer–robot interactions and thus support firms’ relationship marketing objectives.

The literature on robotic services has recognized that robots should be proactive to ensure positive customer experiences, but few studies have explored the relational outcomes of proactive robotic services. The authors’ in-depth empirical examination thus extends research into the role these services can play in fostering customer engagement.