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This study identifies key variables that contribute most to the discrimination between firms with high export performance levels and those with low export performance levels. Data were collected through a structured multi-item questionnaire involving a randomly selected sample of 105 exporting firms. Discriminant analysis was used to identify the key discriminating variables. Exporters with high-performance levels differed significantly from those with low levels. Strategy implementation, experience in international business and training, economic factors, size of the firm, cultural factors, strategic orientation, education, and political/legal factors, listed in order of importance, were identified as key discriminators between the two types of firms.

To develop a preliminary framework for Australian agribusiness organisations seeking to select business‐to‐business (B2B) e‐business models.

A literature review was conducted on topics related to strategic decision making and B2B e‐business models. Particularly, factors influencing the strategic decision on the choice of e‐business models to be selected were examined. The review aims to provide an initial framework for the research study to be conducted. The research was conducted in two stages: depth interviews (stage one) and case studies (stage two).

Provides information on factors (both internal and external) influencing the choice of e‐business models and also insight into the current practices of Australian agribusiness in relation to the selection process of B2B e‐business models. A framework was developed to assist agribusiness organisations to make decisions on the selection of the most appropriate e‐business models.

This study is exploratory in nature and thus the findings cannot be generalised to the population at large. Further conclusive explanatory research is required for generalisation and the guidelines developed in this study could be replicated and tested in other agribusiness sectors or in other industries.

Managers are able to consider and examine the relevance of the guidelines and criteria developed, and determine the essential factors that require consideration during their selection process. The guidelines can also assist managers to determine the level of resources, technological infrastructure and knowledge and understanding of e‐business models required.

This paper brings together two disciplines – strategic decision making and development of e‐business models – that have not been combined prior to this study. The research findings have contributed to the development of existing theory in these two areas. The research also offers insights into the selection of e‐business models within the agribusiness industry that traditionally lagged behind in e‐business. The development of the framework and guidelines has assisted managers in their selection of e‐business models and given them an appreciation of what others in the industry are doing.

This paper aims to critically examine the modern slavery statements of Anglo American Plc. and Marks and Spencer Group Plc. to determine the level of effectiveness of the risk assessment and risk mitigation measures of both companies and provide recommendations on how the risk assessment and risk mitigation measures of both companies could be strengthened.

The analysis took the form of a desk study, which analysed various documents and reports such as the UK Modern Slavery Act 2015, the UK Modern Slavery Act 2015 (Transparency in Supply Chains) Regulations 2015, the UK Guidance issued under Section 54(9) of the Modern Slavery Act 2015, the 2018 Global Slavery Index, funded by Forrest’s Walk Free Foundation, the Anglo American Plc. Modern Slavery Statement of 2017/18, the Marks and Spencer Modern Slavery Statement of 2017/18, the Financial Action Task Force Guidance on the Risk Based Approach to Combating Money Laundering and Terrorist Financing (High Level Principles and Procedures) 2007, the Financial Action Task Force International Standards On Combating Money Laundering and the Financing of Terrorism and Proliferation (The FATF Recommendations) 2012, the Australia Anti-Money Laundering and Counter-Terrorism Financing Rules Instrument 2007 (No. 1) (as amended), the Financial Transactions and Reports Analysis Centre of Canada Guidance on the risk-based approach to combatting money laundering and terrorist financing 2017 and the Central Bank of Nigeria (Anti-Money Laundering and Combating the Financing of Terrorism in Banks and Other Financial Institutions in Nigeria) Regulations, 2013.

This paper determined that the standard due diligence measures and the enhanced due diligence measures of Anglo American Plc. are not effective enough to identify/assess the risk(s) of modern slavery in the supply chains reason being that Anglo American Plc. does not use diverse methods/methodologies for her due diligence programme. This paper, however, determined that the standard due diligence measures and the enhanced due diligence measures of Marks and Spencer Group Plc. are effective enough to identify/assess the risk(s) of modern slavery in the supply chains because Marks and Spencer adopts diverse methods/methodologies for her due diligence programme. This paper also determined that both Anglo American Plc. and Marks and Spencer Group Plc. adopt diverse methods for the monitoring of their corrective action plans which are designed to mitigate the modern slavery risk(s) associated with high-risk suppliers. For example, Anglo American Plc. monitors anti-modern slavery compliance with the use of both internal Anglo American teams and third-party auditors to ensure that the identified issues are adequately addressed.

This paper focuses on Section 54 of the UK Modern Slavery Act 2015 and the Modern Slavery Statements of Anglo American Plc. and Marks and Spencer Group Plc for the year 2017/18.

Several articles have been published on this topic. Among them, is an article by Stefan Gold, Alexander Trautrims and Zoe Trodd titled “Modern slavery challenges to supply chain management”, Supply Chain Management: An International Journal, Vol. 20 Issue: 5, pp.485-494 and an article by Stephen John New titled “Modern slavery and the supply chain: the limits of corporate social responsibility?”, Supply Chain Management: An International Journal, Vol. 20 Issue: 6, pp.697-707. The article by Stefan Gold, Alexander Trautrims and Zoe Trodd drew attention to the challenges modern slavery poses to supply chain management. Although the article briefly talked about the risk-based approach to monitoring supply chains for slavery, it did not discuss about the due diligence measures that UK firms are required to apply during risk identification and risk assessment, and the risk mitigation measures that will address the risk(s) that have been identified. The article by Stephen John New examines legal attempts to encourage supply chain transparency and the use of corporate social responsibility methods. Though the article mentions the UK Modern Slavery Act 2015, more attention was paid to the California Transparency in Supply Chains Act [S.B. 657], State of California, 2010), enacted in 2011 and in effect from 2012. The article analysed the California Act without critically discussing the risk assessment procedures for UK companies. In addition to discussing the different stages of the risk assessment/risk management process, this paper will examine the modern slavery statements of Anglo American Plc. and Marks and Spencer Group Plc. This paper will provide recommendations on how the risk assessment/risk mitigation measures of both companies could be strengthened. This is the only paper to adopt this kind of approach. The analysis/recommendations in this paper will help UK companies to design effective due diligence procedures for their supply chain.

This paper aims to critically analyse the existing framework on assets tracing and recovery in Nigeria. It will thereafter provide analysis of the asset and recovery measures of advanced countries such as the USA and the UK. The results from the analysis will yield maximum insight and help the Nigerian Government to make better policies and laws on assets tracing and recovery.

This paper will rely on primary and secondary data drawn from the public domain. It will also rely on documentary research.

This paper determined that the Nigeria asset recovery scheme is likely to be more effective if Nigeria adopts the approach of the UK and the USA.

This paper will suggest new ways for assets tracing and recovery. The suggested approaches/methods are being used in advanced countries such as the UK and the USA.

Previous research papers have extensively discussed the problems faced with assets tracing and recovery from a prohibitive and investigative standpoint. This paper will discuss the topic from a preventive standpoint with little focus on investigative mechanisms.

This paper aims to help build awareness with the regulatory, enforcement and customs authorities as well as reporting entities about money laundering risks and vulnerabilities of the Mavrodi Mondial Movement (MMM) scheme, and how to mitigate them.

The research took the form of a desk study, which analyzed various documents and reports such as the Financial Action Task Force (FATF) typologies reports in 2006, 2008, 2010, 2013 and 2014 on new payment methods (NPMs) which focused on the potential for NPM to be misused by criminals; the identification of risk factors which can significantly differ from one new payment product or service to another, depending on functionality; and risk mitigants which can be tailored to a particular new payment product or service to address its specific risk profile.

This paper presents the following findings and recommendations: high-risk customers such as politically exposed persons (PEPs) could exploit the non-face-to-face feature of MMM by using the identity of low-risk customers (e.g. pensioners) to open MMM accounts. The Bitcoin funding option may present a higher money laundering risk than Bank wire, MasterCard, Visa Debit and Interac. The electronic nature of Bitcoins provides in principle a good foundation for effective record keeping and the monitoring of transactions. The money laundering risks associated with Goldmoney are very minimal when compared to Bitcoin. MMM Nigeria is therefore recommended to adopt Goldmoney as its preferred method of online payment for MMM transactions.

While most publications on MMM are focused on fraud, this paper focuses on the money laundering risks and vulnerabilities associated with the MMM scheme.

This paper aims to critically examine the Money Laundering (Prevention and Prohibition) Bill, 2016. It also aims to determine the level of effectiveness of the preventive measures in the Bill.

The appraisal took the form of a desk study, which analyzed various documents and reports such as the Financial Action Task Force Recommendations 2012, Mutual Evaluation Reports conducted by the Inter-Governmental Action Group against Money Laundering in West Africa (GIABA) on Nigeria, the judgment delivered by Justice Gabriel Kolawole of the Federal High Court Abuja and the United Kingdom’s national risk assessment of money laundering and terrorist financing.

This paper determined that the Bill could achieve its core objectives if the following recommendations are implemented: section 15 of the Bill should be modified to include the definition of “Arrangement”; lawyers should be allowed to send their Suspicious Transaction Report to the Nigerian Bar Association, provided that there are appropriate forms of cooperation between the NBA and the Financial Intelligence Unit, and this approach is in line with the Financial Action Task Force Recommendations; the Bill should expressly prohibit retaliation by employers against whistleblowers and provide them with a private cause of action in the event that they are discharged or discriminated against by their employers, and this approach is being adopted by the US Dodd–Frank Act; a request for customer information, by the Director-General of the Nigeria Financial Intelligence Centre, should be made pursuant to an order of the Federal High Court obtained upon an ex-parte application supported by a sworn declaration by an authorized officer of the Centre, justifying the request for customer information.

This paper offers a critical appraisal of the Money Laundering (Prevention and Prohibition) Bill, 2016. The paper will identify the strengths and weaknesses of the Bill. This is the only paper to adopt this kind of approach.

Data from the Current Population Survey (for the U.S.) and from the 1986 Hong Kong By-census and the 1991 Hong Kong Census were used to study the following issues: (1) What is the incidence of adequate schooling, overschooling and underschooling in the two countries, and has it changed between 1986 and 1991? (2) What are the wage consequences of adequate schooling, overschooling and underschooling, and have they changed over time? Also, are the results influenced by labor market experience?

The purpose of this paper is to investigate if online reviews (e.g. valence and volume), online promotional strategies (e.g. free delivery and discounts) and sentiments from user reviews can help predict product sales.

The authors designed a big data architecture and deployed Node.js agents for scraping the Amazon.com pages using asynchronous input/output calls. The completed web crawling and scraping data sets were then preprocessed for sentimental and neural network analysis. The neural network was employed to examine which variables in the study are important predictors of product sales.

This study found that although online reviews, online promotional strategies and online sentiments can all predict product sales, some variables are more important predictors than others. The authors found that the interplay effects of these variables become more important variables than the individual variables themselves. For example, online volume interactions with sentiments and discounts are more important than the individual predictors of discounts, sentiments or online volume.

This study designed big data architecture, in combination with sentimental and neural network analysis that can facilitate future business research for predicting product sales in an online environment. This study also employed a predictive analytic approach (e.g. neural network) to examine the variables, and this approach is useful for future data analysis in a big data environment where prediction can have more practical implications than significance testing. This study also examined the interplay between online reviews, sentiments and promotional strategies, which up to now have mostly been examined individually in previous studies.