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Degraded failures and sudden critical failures are quite prevalent in industries. Degradation processes commonly belong to Weibull family and critical failures are found to follow exponential distribution. Therefore, it becomes important to carry out reliability and availability analysis of such systems. From the reported literature, it is learnt that models are available for the situations where the degraded failures as well as critical failures follow exponential distribution. The purpose of this paper is to present models suitable for reliability and availability analysis of systems where the degradation process follows Weibull distribution and critical failures follow exponential distribution.

The research uses Semi-Markov modeling using the approach of method of stages which is suitable when the failure processes follow Weibull distribution. The paper considers various states of the system and uses state transition diagram to present the transition of the system among good state, degraded state and failed state. Method of stages is used to convert the semi-Markov model to Markov model. The number of stages calculated in Method of stages is usually not an integer value which needs to be round off. Method of stages thus suffers from the rounding off error. A unique approach is proposed to arrive at failure rates to reduce the error in method of stages. Periodic inspection and repairs of systems are commonly followed in industries to take care of system degradation. This paper presents models to carry out reliability and availability analysis of the systems including the case where degraded failures can be arrested by appropriate inspection and repair.

The proposed method for estimating the degraded failure rate can be used to reduce the error in method of stages. The models and the methodology are suitable for reliability and availability analysis of systems involving degradation which is very common in systems involving moving parts. These models are very suitable in accurately estimating the system reliability and availability which is very important in industry. The models conveniently cover the cases of degraded systems for which the model proposed by Hokstad and Frovig is not suitable.

The models developed consider the systems where the repair phenomenon follows exponential and the failure mechanism follows Weibull with shape parameter greater than 1.

These models can be suitably used to deal with reliability and availability analysis of systems where the degradation process is non-exponential. Thus, the models can be practically used to meet the industrial requirement of accurately estimating the reliability and availability of degradable systems.

A unique approach is presented in this paper for estimating degraded failure rate in the method of stages which reduces the rounding error. The models presented for reliability and availability analyses can deal with degradable systems where the degradation process follows Weibull distribution, which is not possible with the model presented by Hokstad and Frovig.

The aim of this study was to assess the level of awareness and acceptance of bank customers regarding anti-money laundering (AML) practices of banks. The study also aimed to understand their constraints in following the bank’s AML practice.

The target population was account holders of the banks above the age of 18 years, residing in the Puducherry and Chennai regions in India. Convenience sampling was adopted in selecting the sample from these states. The sample consisted of 416 customers of the public, private and foreign banks in India. The responses were collected by administering the pre-tested structured questionnaire. The data was collected during the period June–December 2014. Descriptive and non-parametric tests were applied, and the significance was considered at p = 0.5.

Respondents showed low level of awareness with regard to usage of banks as a channel for money laundering (ML) and terrorism financing (TF) activities (62.3 per cent), reporting function of the banks (70.4 per cent), AML and combating financing of terrorism (CFT) legislation (86.3 per cent) and about the existence of Financial Intelligence Unit (FIU)-India and its function (96.9 per cent). The customers were quite aware of ML (62.5 per cent) and customer identification requirements (95.2 per cent). The participants exhibited neutral attitude towards acceptance of AML measures (3.11 ± 1.31). The descriptive analysis showed 97.4 per cent were ready to provide their identification documents to the bank; however, 64.5 per cent of the participants were reluctant to update their Know Your Customer particulars when it has not experienced any change, and about 68.3 per cent expressed that banks should not disclose the details of their transactions to any third party including financial intelligence units.

The sample constituted only few participants from the foreign sector banks because of the difficulty in identifying the foreign bank customers.

There is a necessity to undertake public awareness campaigns on the importance of AML/CFT system either by the banks or FIU-India or both to increase the level of acceptance towards AML measures. This will help the banks to strengthen the bank–customer relationship.

An extensive review of literature could not find any research study on the assessment of awareness and acceptance of banking customers towards AML practices in India. Thus, this paper attempts to understand the level of awareness and acceptance in the bank customers towards AML practices.

The purpose of this paper is to assess the effectiveness of anti-money laundering (AML) reporting system in India in terms of Suspicious Transaction Reports (STRs) and its impact on countering money laundering through the conviction and confiscation. The main emphasis of financial action task force (FATF) guidelines on AML and countering of financing of terrorism (CFT) is the obligation of financial institutions and designated non-financial businesses and professions to instantaneously report the suspicious transactions to Financial Intelligence Unit (FIU), an agency with a mandate to deal with AML.

It is a descriptive study to explore the outcome of the AML process. The study has used the secondary information published in the annual reports of FIU-India and FATF. The study period is 2006-2007 to 2011-2012.

Though there is a significant increase in the STRs filed, the impact of AML is not realized in terms of neither AML-related convictions nor confiscations, since the enactment of the Prevention of Money Laundering Act (PMLA). However, the AML/CFT regime in India has just started earnestly, and it still has to go a long way before stabilizing and achieve tangible results.

In the Indian context, only few of the effectiveness indicators of the FATF methodology 2013 could be selected due to the limited availability of data, as much of the information maintained by various stakeholders, including reporting entities, FIU-India and other investigative and enforcement agencies, is kept confidential. Thus, it is difficult to establish the effectiveness of enforcement function of AML. Evaluation of effectiveness of AML is judged on the basis of convictions and confiscations.

There is a dearth of studies assessing the reporting system under PMLA and thus this paper attempts to throw some insights on the outcome of AML chain, especially the impact of reporting suspicious transactions.

Lean Six Sigma is a most widely used technique in quality management. In manufacturing and service industries, this technique is used for process excellence. In the power sector, there has been hardly any study on the usage of LSS. Can LSS transform the ailing power sector organization from frog into princes? The purpose of this paper is to explore LSS impact on the power sector.

A multiple case study approach is followed. Five cases, one each from the generation, the transmission and three from distribution companies are studied based on the rationale of theoretical sampling.

LSS is an important methodology that can be used in generation, transmission and distribution of electricity energy to drive out inefficiency and improve customer satisfaction, profits, etc. In addition, the success stories of all five cases suggest the sustainable economic benefit to the organization due to the implementation of LSS.

This study intends to make an academic contribution to the pertinence of LSS in the power sector. The multiple case study approach is used on a theoretical sample of power utilities in India. This study will provide the theoretical contribution for LSS. In addition, this study will help the practitioner and managers to effectively implement LSS, especially in the power sector.

This study can be used by power sector organizations to implement LSS. A special section on implication for practice is added so that organization can make use of it while implementing LSS in the power sector.

Power is one of the most important infrastructures for the development of a country. In a developing country, the power sector is ailing; the application of LSS can transform the power sector by driving out inefficiency, waste and variation. It will not only prove to be a boon to utilities, but it will also help the customer and society at large. Consequently, it will help in reducing the power tariff, which in turn will make power financially accessible to all categories of consumers. In addition, the private investment in this sector will also improve, if power sectors appeal, to financiers as an efficient organization, compared to loss-making one organization, at present.

This study aims to examine the associations between customers’ awareness of money laundering and terrorism financing, trust in banking secrecy measures and discomforts in fulfilling the bank’s anti-money laundering (AML) procedure and their acceptance of existing practices of banks regarding AML and counter-terrorism financing.

This study adapts a set of survey instruments developed and validated by prior studies to collect the required data. A convenient sample of 160 Malaysian bank customers aged 18 and above were surveyed to collect the data.

This study finds a significant relationship between the respondents’ awareness of money laundering and terrorism financing, trust in banking secrecy measures and their acceptance of the bank’s AML and counter-terrorism financing practices. However, no significant relationship is documented between the level of discomforts experienced by customers in satisfying the banks’ AML requirements and their acceptance of the banks’ AML practices. These results hold even after controlling for alternative explanations of the customers’ acceptance of banking practices examined in the extant literature: age, gender, location, literacy level and occupation.

This study extends the literature on customers’ acceptance of banking practices more broadly by providing empirical evidence on the role of customers’ awareness on issues underlying the banking practices and their trust in the bank’s secrecy measures.

This study also provides some practical contributions by shedding some light on the factors that could help banks increase the acceptance of AML practices among their customers. Thus, the findings of this paper help banks focus their effort on these factors and hence increase acceptance rate more effectively.

Drawing on the elements of the theory of reasoned actions and technology acceptance model and the extant research on trust-privacy and comfortability in a banking setting, this study proposes an integrated approach that is theoretically and empirically grounded.

The study was conducted to assess the level of compliance with regulatory guidelines on anti-money laundering (AML) in the scheduled commercial banks in India, and to understand the bottlenecks in AML implementation.

The respondents were employees working in the banks located in the States of Puducherry and Tamilnadu. Snowball sampling method was adopted in selecting the sample. The sample consisted of 392 employees from the public sector, private sector, and foreign banks in India. The data was collected by administering the structured questionnaire during the period June, 2014 to January, 2015. Descriptive and non-parametric tests were applied, and the significance was considered at þ ≤ 0.5.

Results indicated that the banks were largely complying (3.67 ± 1.39) with the AML measures under study. The compliance with guidelines on KYC updation was found to be higher (79.9 per cent), followed by reporting requirements (72.7 per cent), and customer identification procedures (57.4 per cent). The practice of customising or amending the AML policy of the bank according to the bank ' s business risks and evolving regulatory obligations was found unsatisfactory (67.1 per cent). The respondents in majority agreed to the identified issues such as deficit of resources, lack of customer support, training, feedback and information exchange as constraints in the practice of AML.

There is a dearth of studies examining the AML/CFT implementation in the financial institutions of India. Accordingly, the present study attempts to assess the practices of AML/CFT in commercial banks and understand their challenges faced in implementing it.

The purpose of this paper is to examine the determinants of the EVA performance evaluation model for the Chinese banking industry. The authors investigate the impact of six bank-specific factors and corporate governance factors on financial performance.

The authors use the ordinary least square regression to examine the determinants of the EVA performance evaluation model for the Chinese banking industry. The findings are generally robust to alternative proxies of performance.

The empirical results indicate that credit risk, operational efficiency and the degree of innovation are positively related to banks’ EVA while capital management has a negative impact on it. In addition, although board size and independent directors are not related to the bank’s EVA, from the perspective of the traditional performance evaluation indicators, executive compensation has a positive impact on the bank’s profitability.

This paper has some limitations. First, due to the large number of adjustments to accounting items are required in the application of EVA when evaluating business performance, some items of the EVA model in this paper have been simplified, which may cause the bank’s EVA value to deviate slightly from the actual situation. Moreover, the sample includes only listed banks, so our results cannot generalize to non-listed banks, such as some small- and medium-sized commercial banks.

This paper contributes to the limited body of literature concerning the use and the determinants of EVA in emerging markets. The authors construct an EVA model which is suitable for China’s banks and reports comprehensive evidence on the drivers of EVA as a measurement tool.

This paper aims to study the interlink between work-life integration, job contentment and employee engagement. The notion of how far work-life balance (WLB) policies have a throwback on employee engagement has been presented with shreds of evidence of previous studies carried out in the timeline of 2005–2021 in India. The purpose is to bring forward comprehensive studies together, which are available on piecemeal form in the fragmentary form, to draw a firm conclusion about work-life integration policies and their parallelism with job engagement and organizational effectiveness. Furthermore, this study intends to develop a theoretical framework using Dubin’s methodology on organizational effectiveness in relation to work-life integration, job contentment and employee engagement.

This study is based on systematic literature review of papers reviewed from across databases of Scopus, Emerald, EBSCO and Google Scholar. The keywords used for the search were WLB, work-life integration, job satisfaction, job contentment and organizational effectiveness and also a combination of these words was used to pull down the relevant papers. A systematic literature review was undertaken on the topics of work-life integration, employee engagement and organizational effectiveness. These articles were then read and scanned with the overview on abstract and further these articles were selected on the basis of relevance to the current study. Those articles which showed interconnectedness between the identified variables of organizational effectiveness in relation to work-life integration, job contentment and employee engagement as antecedents were reviewed and a theoretical framework model is put forth using first part of Dubin’s methodology (1978) for theory building. The posited Model named A4 on organizational effectiveness using deductive approach is built on constructs, interaction, logic and propositions (Whetten, 1989).The theory will be functional in nature. With the given wealth of evidence, the injecting effect of work-life integration on employee engagement and pouring impact on organizational effectiveness becomes more transparent and clear. The authors have proposed a model for better organizational effectiveness through work-life integration policies.

One of the essential ingredients for better employee engagement is work-life integration policies, and organizational effectiveness becomes the by-product of the same. Innovative and friendly WLB policies assist employees to be more productive, dedicated and committed, resulting in better employee engagement which in the long run benefits the company in terms of effectiveness. WLB policies help to flatter down the burgeoning impact of complex work life on employee productivity and engagement. This paper concludes on the healing effects of WLB policies on employee engagement and organizational effectiveness and also proposes a model at the end. The posited model presents the antecedents for achieving organizational effectiveness.

Because the study is conceptual in nature with the proposed model, more empirical-based studies by experts with relevant stakeholders will add more rationalization to the current study.

Organizational effectiveness is the key to survival in today’s complex and competitive world. The authors investigated how organizational effectiveness can be achieved with WLB policies, which can have a linear impact on employee engagement, and ultimately organizations can bear the flowerings of positive output. This linkage and coupling between WLB policies, job contentment, employee engagement and organizational effectiveness deserve attention which the authors have attempted to explore. The outcome and results of the study will contribute to the existing literature in a more meaningful manner and will assist human resource development and policymakers to achieve organizational goals with driving employees. Managers will gain insight into the identified theoretical framework model for its implementation in organization. Future researchers with empirical studies can test the proposed theory to determine its success at organizational level.

The purpose of this study is to examine the South African banks’ customer due diligence (CDD) practices in the fintech era to mitigate money laundering (ML) risks and ensure financial stability. Financial technologies have brought substantial transformations to the financial services sector. However, such technologies have exposed the sector to emerging risks that threaten the integrity and stability of the financial system globally. Before any bank–customer relationship is established, proper customer background checks must be conducted. These background checks enable financial institutions to validate information provided and ensure customers are properly risk profiled. Failure to risk profile customers could result in financial institutions being used as conduits for ML. Undoubtedly, CDD procedures are pivotal to overall anti-money laundering efforts and curbing financing terrorism in a regulatory framework.

A qualitative research approach was adopted to address the research questions of the study. Given the confidentiality associated with the financial services sector, data triangulation was used in blending mainly secondary and primary data sources. Secondary data sources used in the study were published reports available in the public domain that were corroborated with subject matter experts’ interviews.

Based on the findings of this study, it is concluded that in South Africa, technological solutions have been incorporated into CDD functions, which is now risk-based (enhanced due diligence). Also, legally, South Africa has incorporated the biometrics, integration with Department of Home Affairs and Companies and Intellectual Property Commission databases, customer consent to third-party sources with the Financial Intelligence Centre Act and the Protection of Personal Information Act.

The shift towards digital banking in South Africa results in increased data and dynamic risk profiling. This study advocates a policy shift requiring a risk-based approach to mitigating emerging ML risks (in particular digital laundering), especially in the wake of South Africa’s recent greylisting by the Financial Action Task Force.

Corruption and money laundering (ML) are severe concerns for both developing and developed countries. According to international organizations, such as Transparency International, the Basel Institute on Governance and the International Country Risk Guide, corruption and ML exist in every country. This research aims to investigate the impact of corruption and ML on the loan portfolio quality of banks.

From 2013 to 2019, this study used the panel data of 132 countries, including 87 highly corrupt and 45 least corrupt countries: the fixed effect and random effect econometric regression techniques for data analysis. Additionally, this study used the generalized methods of moment technique to check the result’s robustness.

This study shows that corruption and ML have diverse relationships with non-performing loans in highly corrupt and low corrupt countries. It is potentially because of the differences in the regulatory structure of a highly corrupt and least corrupt environment.

To the best of the authors’ knowledge, this study is the first attempt that provides a unique perspective on corruption, ML and its effect on the loan’s portfolio quality of banks. Furthermore, this study suggests that governments in highly corrupt environments develop robust anti-corruption and anti-ML regulations.