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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.

This research aims to contribute to the transformative service research (TSR) literature by examining how customer participation in the service process influences their service experience and eudaimonic well-being, as moderated by customer empowerment and social support.

In the contexts of wedding (n = 623) and tourism services (n = 520), two surveys were conducted to test the hypotheses using mediation and moderation analyses.

Customer participation had a positive effect on their well-being, as mediated by service experience. These effects were moderated by customer empowerment and social support. Specifically, customer empowerment negatively moderated the relationship between customer participation and their service experience for both services. In addition, the moderating effect of social support on the relationship between customer participation and service experience was positive for the wedding service but negative for the tourism service.

The findings imply that firms should encourage customer participation to enhance their service experience and well-being. In addition, the firm could judiciously empower customers by adapting to the level of customer participation. Furthermore, depending on the complexity of the service required to produce the expected service outcomes, the firm may encourage the customers to engage their social network for support.

This research uses the service ecosystem perspective to examine the roles of the customer, the firm and the customer's social network in shaping their service experience and well-being for two common and important mental stimulus services, enriching the authors’ understanding on the role mental stimulus services play in enhancing consumers' eudaimonic well-being.

This paper aims to improve understanding of co-creation by focusing on customer knowledge sharing (CKS), which is something that can be influenced by organizational relationship orientation (ORO), employee adaptiveness (EA) and customer expertise (CE), and that influences employee creativity (EC) and customer-perceived economic value (CEV).

With subjects being conference and meeting organizers for hotel service, a survey was conducted in major Chinese cities. In the survey, high-star-rated hotels’ corporate sales personnel provided data if a sales person got one of their customers to provide data. Only responses for hotels for which two employee–customer matched records were obtained could be used for analysis by using hierarchical linear modeling; so, 217 matched records from 48 hotels were processed.

Accepting five hypotheses and having coefficients for control variables allow new insights into the importance of CKS. Insights regarding brand familiarity, employee seniority, etc. contribute to theory and improving research.

Action can include fostering benefit from CE, nurturing EA and supporting ORO. Action can be recruiting and training employees with special considerations to their level and use of EA that facilitates acquiring valuable knowledge from customers. For researchers, practical implications relate to improving modeling and recognizing new research.

This study provides new findings on ORO, EA and CE affecting CKS, as well as showing relationships of CKS with EC and CEV. Coefficients of control variables yield insights beyond control that contribute to theory and to identifying new research. Examining response distributions highlights analysis issues, suggesting avenues for new research.

This paper aims to provide an empirical analysis of the effects of regulatory enforcement and customer risk determinants on money laundering risk judgment. The study further explores the moderating impact of regulatory enforcement on compliance officers in the banking and money service business (MSB) sectors. The analysis is conducted to find the important factors that contribute to the issues of risk judgement among compliance officers to establish effective anti-money laundering (AML) and countering financing of terrorism compliance at the financial institutions, as highlighted in the National Risk Assessment Report 2017 by the Central Bank of Malaysia.

An experimental study with four different scenarios of case studies distributed to 124 compliance officers at the banking and MSB sectors was conducted via online platforms. The paper uses a quantitative approach via structural equation modelling.

The result shows a significant effect of customer risk determinants and regulatory enforcement on money laundering risk judgement, taking into account competency as the control measure. A further test on the interaction effects of both determinants shows a significant result on the money laundering risk judgement. The empirical evidence indicated that regulatory enforcement influenced compliance officers’ money laundering risk judgement and suspicious transaction report submission. In other words, the banking and MSB sectors’ AML compliance significantly depends on the regulators’ enforcement activity.

This study is limited to two independent variables: regulatory enforcement and customer risk determinants. Future studies may consider other factors affecting compliance officers’ money laundering risk judgement, such as technical competency, knowledge management, digitalization and technology and ethical issues.

This study provides several theoretical and practical implications. Emphasizing the excellent quality of judgement and, eventually, good quality of reporting the suspicious transactions will not be achieved merely from enforcing fines and punishment, but comprehensive measures must be taken. Increasing the competency and training, educating the compliance officers, supporting the industry and practitioners with incentives and digitalization, enhancing the campaign and awareness among the public and standardizing the policy shall be the good initiatives for the regulatory enforcement to establish.

This paper provides a valuable contribution to the body of knowledge and fulfills the significant gaps in the literature on money laundering, not to mention, the integration between behavioural studies and anti-money laundering compliance, which has scarcely been statistically evident from the research studies.

This study aims to investigate the effect of brand authenticity on consumer brand loyalty in the Pakistani frozen food industry sector in the light of the stimulus-organism-response (SOR) theory.

The quantitative approach utilized a survey questionnaire to acquire customers’ perceptions. A simple random technique was used to collect data. About 255 questionnaires were analysed, and the response rate was 72.86%. The measurement and structural model were constructed through Smart PLS-4 and fsQCA.

The findings indicated that brand authenticity positively affects brand loyalty in the Pakistani frozen food industry. Results further proved that brand involvement has a full mediation effect, fsQCA supports the same results, and customer satisfaction has a partial mediation effect. These findings offer valuable insights into the frozen food industry in Pakistan and other countries, allowing them to create successful tactics to engage customers and foster brand loyalty. The findings reveal the complexity and ever-changing nature of how consumers assess brand authenticity in the frozen food industry.

These findings also have implications for the frozen food business’s marketing and brand positioning strategies, particularly its utilization of brand authenticity to attract and retain consumers.

This is the first paper in the frozen food sector from the perspective of brand authenticity.

The purpose of this study is to explore the impact of the robot restaurant servicescape and robot service competence (RSC) on customers’ behavioral intentions and to analyze the mediating role of hedonic value (HV) and utilitarian value (UV) in these relationships and the moderating role of individual characteristics.

This research involves seven constructs to be measured, namely, servicescape, RSC, negative attitude toward robots (NAR), openness to change (OC), HV, UV and behavioral intention. This research selects Foodom robot restaurants, located in Shunde and Guangzhou of China, as the research site, and the research objects are customers having dinner in the restaurant. A total of 485 valid data was collected. Structural equation modeling was used to analyze the data, verify the proposed research model, and test the research hypotheses.

The study finds that servicescape and RSC improve customer behavioral intention. Additionally, HV and UV mediate the influence of servicescape and RSC on customer behavioral intention. Moreover, OC negatively moderates the influence of servicescape on UV and that a NAR negatively moderates the influence of RSC on HV.

Through carefully design of servicescape and the improvement in service capabilities of robots, the original service delivery dominated by frontline service personnel can be transformed into service delivery dominated by service robots, which is conductive to providing a pleasant and unforgettable experience for customers.