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The purpose of this paper is to give a better insight to the legal society, practitioners and legislators of the working mechanisms of money laundering activities, as well as the functionalities of the Anti‐Money Laundering and Anti‐terrorism Financing Act 2003 (AMLATFA) in Malaysia, in curbing money laundering and terrorism funding activities. At the same time, the paper provides an overview on the applicability and practicability of the enforcement mechanisms in Malaysia by exploring legislations from different jurisdictions that are more developed.

The paper achieves this by having a cross‐sectional analysis onto the legislation in Malaysia such as AMLATFA and also similar legislations found in countries such as the UK. A complete insight is further gained by having interviews with experts in the judiciary, Bank Negara, as well as the experts from the Attorney General's Chamber in Malaysia regarding their insight into the subject matter. Last but not least, the authors also surveyed into the different points of view from journal articles in Malaysia and globally.

Malaysia has a legal framework for curbing money laundering but the current AMLATFA provisions are considered to have failed to be effectively enforced. A more comprehensive, specific and well elaborated legal framework will have to be laid down in order to create a better platform for the prosecutors to bring a good case against these money launderers.

This paper will give a deeper insight to the legal society of the capability of AMLATFA and the lack of it, in curbing money laundering in Malaysia and, at the same time, creating awareness among policy makers of the difficulties faced by the enforcement bureaus in prosecuting these money launderers due to the lacunas in the current law.

This paper could be useful source of information for practitioners, academics, policymakers and students and a guide for any possible future amendments to the current insufficiency.

Distancing people socially as a precautionary measure against the mushrooming of COVID-19’s health and economic crisis has deleteriously affected the performance of the eatery industry to a great extent. Many food outlets failed to cope up with crisis and opted to move out, and many still vie to survive through pandemic. It becomes vital for researchers to understand what factors influence the performance and survival of eateries during the pandemic? The study makes an attempt to fabricate new factors which affect the performance and contribute significantly towards the survival of eateries in this new COVID-19-prone world.

The present study is a cross-sectional analysis with the sample of 150 eateries from the walled city of Punjab (India), i.e. Amritsar. Factor analysis is employed to scrutinise the factors which influence the performance of eateries during the pandemic, and to analyse factors which contribute significantly for the survival of eateries, logistic regression is performed.

The empirical analysis reveals that at prior psychological factor, followed by turnover factor, external factor, financial factor and marketing factor influence the performance of eateries during the pandemic. Only three factors, namely turnover factor, external factor and financial factor, turned up to be significant towards the survival rate of an eatery. The marketing factor which is a crucial contributor for survival of business in literature has turned out to be insignificant during the times of pandemic.

With the arrival of pandemic, the preference of people has changed, and the business environment in which entities operate has turned more complex. The present study is one of the pioneer attempts to evaluate whether the factors responsible for performance or survival of an eatery during normal times is relevant during the pandemic as well. The study contributes to the literature of eatery industry by adding a new variable namely psychological factor, i.e. changes witnessed in customers’ preference to visit an eatery.

The growth of the Indian economy is accompanied by the rising trend of energy utilisation and its devastating effect on the environment. It is vital to understand the nexus between energy utilisation, climate and environment degradation and growth to devise a constructive policy framework for achieving the goal of sustainable growth. This study aims to analyse the long- and short-run association and direction of association between energy utilisation, carbon emission and growth of the Indian economy in the presence of structural break.

The study probes the association and direction of association between variables at both aggregate (total energy utilisation, total carbon emission and gross domestic product [GDP]) and disaggregates level (coal utilisation and coal emission, oil utilisation and oil emission, natural gas utilisation and natural gas emission along with GDP) over the time period of 50 years, i.e. 1971–2020. Autoregressive distributed lag model is used to examine the association between the variables and presence of structural break is confirmed with the help of Zivot–Andrews unit root test. To check the direction of association, vector error correction model Granger causality is performed.

Aggregate carbon emissions are affected positively by aggregate energy consumption and GDP in both short and long run. Bidirectional causality exists between total emissions and GDP, whereas a unidirectional causality runs from energy consumption towards carbon emission and GDP in the long run. At disaggregate level, consumption of coal energy impacts positively, whereas GDP influences coal emission negatively in the long run only. Furthermore, consumption of oil and GDP influences oil emissions positively in the long run. Lastly, natural gas is the energy source that has the fewest emissions in both short and long run.

There is a rapidly growing body of research on the connections and cause-and-effect relationships between energy use, economic growth and carbon emissions, but it has not conclusively proved how important the presence of structural breaks or changes within the economy is in shaping the outcomes of the aforementioned variables, especially when focusing on the Indian economy. By including the impact of structural break on the association between energy use, carbon emission and growth, where energy use and carbon emission are evaluated at both aggregate and disaggregate level, the current study aims to fill this gap in Indian literature.

The present study is an intra-industry analysis, which aims to investigate whether the impact of COVID-19 on employment level, clientele rate, liquidity constraints and sustainability aspect of different food outlets is symmetric or asymmetric in nature.

With the help of well-structured questionnaire, the study has surveyed 80 food outlets in total by interviewing the managers and owners of these outlets. Food outlets have been classified into four categories namely international, national, local and street food outlets. Econometric techniques like MANOVA and Garret ranking have been employed to fulfil the objective of the study.

The results depict that the impact of COVID-19 on employment level and liquidity constraints is significantly asymmetric amongst different groups of food outlets, even though the decline in extent of clientele is somewhat same for all groups. The survival aspect of outlets also witnesses clear-cut asymmetry in results as big outlets have greater potential to survive for longer if lockdown happens again when compared to street food outlets as their financial availability and stability differ.

The sample size of study is restricted, mainly due to lesser number of national franchise's food outlets available in Amritsar, though other categories of eateries were sufficient in number. Further, the study is restricted only to one district of Punjab state, whereas for future research, inter-district comparison can be done.

The findings reveal that the street food outlets may gain by fostering its online functioning. Similarly national food outlets are encouraged to alter their business strategies to revive their sales against their competitors.

This study is one of the explorer studies to analyse the impact of COVID-19 by making an intra-industry comparison for the eatery industry – considering four different categories of eateries. The classification of eateries helps in analysing whether the employment level, clientele rate, liquidity constraints and survival perspective have been affected symmetrically for the whole eateries industry or does severity of being affected differ asymmetrically. The study makes a contribution by adding a new string of dimension to the existing load of literature in the domain of hospitality.

Given the importance of relationship benefits in creating customer satisfaction, the purpose of this paper is to investigate the moderating role of relationship benefits (special treatment benefits and confidence benefits) on relationship quality and word of mouth (WOM) for online retailers. The conditional mediating role of relationship quality between customer satisfaction and WOM is also examined.

A sample of 700 MBA students from two universities in Punjab (North India) has been used to collect data. Structural equation modelling and PROCESS Macro (Hayes (2017) have been used for data analysis (mod mod mediation).

When customers perceive high confidence benefits, special treatment benefits moderate the mediational role of relationship quality between customer satisfaction and WOM. Specific conditions under which use of confidence benefits and special treatment benefits are successful for online retailers have also been identified.

Tailored use of special treatment benefits with confidence benefits in appropriate combinations will help the online retailers in segmenting the customers and differentiating amongst them according to the customers’ receptivity towards these benefits. Marketers can devise communication strategies, create customer segments and position their services using the results obtained in the study.

The present study is the first of its kind which clarifies as to why the previous literature considered special treatment benefits as less relevant to customers. It also establishes the situations in which these benefits successfully moderate the effect of customer satisfaction in developing relationship quality and eliciting positive WOM in the Indian internet retailing context.

The purpose of this paper is to provide an overview of the history and existing research on continuous improvement (CI).

Extensive review of the literature.

This paper provides an overview of CI, its inception, how it evolved into sophisticated methodologies used in organizations today, and existing research in this field in the literature.

The literature on classification of CI has so far been very limited. The paper reviews a large number of papers in this field and presents the overview of various CI implementation practices demonstrated by manufacturing organizations globally. It also highlights the sophisticated CI methodologies suggested by various researchers and practitioners in the field of CI.

The literature on classification of CI has so far been very limited. The paper reviews a large number of papers in this field and presents the overview of various CI implementation practices demonstrated by manufacturing organizations globally. It also highlights the sophisticated CI methodologies suggested by various researchers and practitioners in the field of CI.

The paper contains a comprehensive listing of publications on the field in question and its classification. It will be useful to researchers, improvement professionals and others concerned with improvement to understand the significance of CI. It should be of value to practitioners of CI programmes and to academics who are interested in how CI has evolved, and where it is today. To the authors’ knowledge, no recent papers have provided an historical perspective of CI.

The main purpose of this paper is to examine the status of poverty and its reduction by following the inclusive development approach. This study is designed to examine the benefits obtained from development programs, assess the government’s commitment to alleviating social inequality, and its impacts on the redistribution of wealth and poverty reduction.

To evaluate the implementation of the various development schemes and enhance grass-roots participation, a survey was carried out on 540 households, selected through multistage stratified sampling techniques in three different states of Punjab. The study employed an exploratory factor analysis on 21 independent variables to identify the key factors influencing poverty reduction subsequently followed by the binary logistic regression to access the sectoral impact of inclusiveness on poverty reduction in Punjab.

Exploratory Factor analysis extracted six key factors from the selected 21 variables, also called statements: “'Housing Development Resources”; “Human Capital Variables”; “Livelihood Essentials”, “Medical and Family Welfare Benefits”; “Receiving Educational Benefits”; and Social Security Benefits’. Binary logistic regression revealed that Housing Development Resources, Human Capital Variables, and Receiving Educational Facilities, significantly predict the likelihood of poverty reduction with inclusive growth in Punjab.

To provide basic amenities to rural people, increased people’s participation, decentralized planning, extended irrigation facilities, improved equipped facilities, and improved cultivation techniques are pivotal. The Indian Government has implemented several programs and projects to develop and support rural households. However, these schemes have faced many challenges such as rigidity, non-adaptability to local conditions, late disbursements of funds, reallocation of funds to unrelated expenditures by some states, embezzlement, and bribery demands. Hence, the findings indicate the presence of pseudo-inclusivity in Punjab’s growth.

The study’s uniqueness lies in its focus on selected districts of Punjab and also its application of exploratory factor analysis and binary logistic regression to construct a statistical model from the selected variables.

Cultural intelligence is the capacity to decode and harmonize with another culture for cultural synergy effects. This paper aims to examine whether cultural intelligence can activate idiosyncratic deals (i-deals) through trust as a mediator and HR localization as a moderator.

Cross-sectional data from respondents from joint ventures or 100 per cent foreign-invested firms in Vietnam business setting, which were tested through the structural equation modeling, provide the evidence for the research model.

Research results confirmed the positive effect of cultural intelligence on identity-based trust and knowledge-based trust, which in turn influence i-deals. HR localization was also found to play a moderating role on the relationship between identity-based trust or knowledge-based trust and i-deals.

Cultural intelligence literature, from this study, is further deepened through its role as a trigger for the path from cultural intelligence to i-deals.

The purpose of the current study is to examine the implications of the implementation of Goods and Service Tax (GST) on the revenue efficiency of the sub-national governments in India. Furthermore, the study aims to compare the revenue efficiency of the Indian states for the pre-GST and post-GST periods in India.

The study has used the annual revenue of value-added tax (VAT)/GST of the Indian states for the period ranging from 2012–2013 to 2020–2021 for the pre- and post-GST periods. The empirical results are based on the panel regression model for examining the implications of GST adoption on the Indian states.

The analysis shows that the implementation of GST in India has negatively impacted the revenue efficiency of the Indian states. Moreover, the results affirm that the contribution of the service sector to the state's Net State Domestic Product (NSDP), credit-deposit ratio (CDR) and outstanding net bank credit (ONBC) ratio of schedule commercial banks (SCBs) positively and states' dependency on central transfers (DCT) negatively impact the tax revenue efforts of the state governments. Furthermore, the GST adoption has a greater impact on the revenue efficiency of the minor states in comparison to major states which may widen the inter-state disparity gap as GST revenue constitutes a major share in the Own Tax Revenue (OTR) of the Indian states in aggregate.

The current study will act as a guide for government, policymakers and for the sitting of the fifteenth finance commission in India for future policy formulation on GST and compensation to the Indian states. Similarly, this study can be used as a base for conducting future studies on the implications of GST at the national, sub-national, and international levels.

Previous studies on the implications of GST are theoretical and conceptual. There is hardly any study at the national or sub-national level that has focused on the implications of GST on the revenue efficiency of the Indian states.