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The purpose of this study is to describe the design and validation of a three-dimensional (3D)-printed phantom of a uterus to support the development of uterine balloon tamponade devices conceived to stop post-partum haemorrhages (PPHs).

The phantom 3D model is generated by analysing the main requirements for validating uterine balloon tamponade devices. A modular approach is implemented to guarantee that the phantom allows testing these devices under multiple working conditions. Once finalised the design, the phantom effectiveness is validated experimentally.

The modular phantom allows performing the required measurements for testing the performance of devices designed to stop PPH.

PPH is the leading obstetric cause of maternal death worldwide, mainly in low- and middle-income countries. The proposed phantom could speed up and optimise the design and validation of devices for PPH treatment, reducing the maternal mortality ratio.

To the best of the authors’ knowledge, the 3D-printed phantom represents the first example of a modular, flexible and transparent uterus model. It can be used to validate and perform usability tests of medical devices.

The purpose of this paper is to describe how non-fungible tokens (NFTs) can be used in the commission of financial crime, including money laundering and crypto-fraud schemes, using the framework of the Space Transition Theory.

A literature review relating the Space Transition Theory to crime vulnerabilities related to NFTs is conducted and practical examples illustrating NFT schemes are provided.

The authors find that the Space Transition Theory explains the evolution of financial crimes into the NFT space. The transformation of the art industry from the physical to the virtual space through NFTs underlies the criminal activity surrounding them. NFTs enable crime because of the flexibility, dissociative anonymity, lack of deterrence and anonymity.

Criminals can easily take advantage of the users’ limited knowledge of blockchain to defraud them of their money or tokens. These risks accentuate the need to adopt appropriate measures to augment the accountability of NFT transactions. Until such interventions are implemented, the NFT market remains a highly viable space for the perpetration of financial crimes.

The dynamic nature of the cyberspace and fast-past underlying technology provide a greater chance to escape than crimes committed in the physical space. The state of security on NFT platforms has elicited concerns from diverse quotas. NFTs pose significant money laundering risks because of the lack of appropriate regulatory mechanisms, generating a need for enhanced oversight and enforcement of sectors of the economy in physical space vulnerable to abuse in the NFT space, including entities such as art galleries, museums, sports teams and luxury brands.

The Space Transition Theory is also supported in that norms and values regarding ethics and criminal actions in the physical space do not transfer to cyber space.

The novelty aspect of this research is in applying the Space Transition Theory to financial crime schemes based on NFTs.

This study aims to review the current EU approach to regulating crypto assets. It highlights the key points, opportunities and risks of the MiCA regulation, which is designed to provide a comprehensive regulatory framework for digital assets in the EU.

To do so, the authors extensively reviewed the literature and reports from several advisory and watchdog bodies and international organizations.

Although MiCA is an ambitious piece of legislation, there are still many unresolved issues and questions that the new regulation raises. Controversially several items have also been excluded from the MiCA regulations, including decentralized finance, non-fungible tokens unless they qualify under the existing cryptocurrency categories, as well as central bank digital currencies.

This study also addresses the Liechtenstein Token Act Regulation, which is considered to have served as a model for the EU MiCA Directive and the regulation of cryptocurrencies at the European level.

This study aims to investigate whether firms involved in a major corruption scandal, with broad ramifications across several emerging and advanced markets, design the content of their corporate codes of conduct to either improve corporate ethical standards and practices or merely manipulate the impression of stakeholders.

This study adopts an impression management perspective. It uses content analysis techniques to examine the codes of conduct adopted by seven Brazilian engineering and construction multinationals accused of corruption. The analysis covered five major themes: (1) forms of corruption, (2) values or principles, (3) interested parties, (4) procedures and routines and (5) punitive action.

The study provides detailed evidence that the codes of conduct adopted by these firms are mere artifices that aimed at meeting legal requirements but do not target the relevant corporate audience involved in grand corruption. At best, such a code may impede petty and bureaucratic corruption.

This research contributes to improving the understanding of how Latin American multinationals adopted codes of conduct after a major scandal and how they failed—at least to some extent—to design codes complying with established corporate governance principles. It shows that management manipulated the impression of stakeholders by selectively adopting or omitting certain terms, examining or concealing various issues and addressing mainly petty crimes rather than grand corruption. It also identifies areas where Western ethical values conflict with established practices and cultural norms in Latin America.

This paper proposes a progressive, multi-level framework for diagnosing maintenance performance: rapid performance health checks of key performance for different equipment groups and end-to-end process diagnostics to further locate potential performance issues. A question-based performance evaluation approach is introduced to support the selection and derivation of case-specific indicators based on diagnostic aspects.

The case research method is used to develop the proposed framework. The generic parts of the framework are built on existing maintenance performance measurement theories through a literature review. In the case study, empirical maintenance data of 196 emergency shutdown valves (ESDVs) are collected over a two-year period to support the development and validation of the proposed approach.

To improve processes, companies need a separate performance measurement structure. This paper suggests a hierarchical model in four layers (objective, domain, aspect and performance measurement) to facilitate the selection and derivation of indicators, which could potentially reduce management complexity and help prioritize continuous performance improvement. Examples of new indicators are derived from a case study that includes 196 ESDVs at an offshore oil and gas production plant.

Methodological approaches to deriving various performance indicators have rarely been addressed in the maintenance field. The proposed diagnostic framework provides a structured way to identify and locate process performance issues by creating indicators that can bridge generic evaluation aspects and maintenance data. The framework is highly adaptive as data availability functions are used as inputs to generate indicators instead of passively filtering out non-applicable existing indicators.

This study examines shareholder and board motivations regarding corporate social responsibility (CSR) to understand boards' stewardship approaches to environmental issues.

Using content analysis, the authors classify CSR motivations in all environmental shareholder proposals and board responses of Fortune 250 companies from 2013 to 2017 from do little (a shareholder primacy perspective) to do much (a stakeholder pluralism perspective). The authors calculate the motivational dissonance for each proposal-response pair (the Talk Gap) and use cluster analysis to observe evidence of board stewardship and subsequent environmental disclosure and performance (ED&P) changes.

Board interpretations of stewardship are not uniform, and they regularly extend to stakeholders beyond shareholders, most frequently including profit-oriented stakeholders (e.g. employees and customers). ED&P changes are highest when shareholders narrowly lead boards in CSR motivation and either request both action and information or information only. The authors observe weaker ED&P changes when shareholders request action and the dissonance between shareholders and boards is larger. When shareholders are motivated to do little for CSR, ED&P changes are weak, even when boards express more pluralistic motivations.

The results show the important role that boards play in CSR and may aid activist shareholders in determining how best to generate change in corporate CSR actions.

This study provides the first evidence of board stewardship at the proposal-response level. It measures shareholder and board CSR motivations, introduces the Talk Gap, and examines relationships among proposal characteristics, the Talk Gap, and subsequent ED&P change to better understand board stewardship of environmental issues.

In the case of money laundering (ML) originating from the predicate crime of corruption, law enforcers find it difficult to prove all or the existence of a predicate crime on assets that produce assets. This paper aims to analyze ML in corruption cases in Indonesia.

This research uses qualitative descriptive methods. This research discusses the law enforcement of corruption which coincides with the crime of ML.

New findings were discovered where against the corruption case which was carried out concurrently with the crime of money laundering, the value of which was Rp. 1bn and above and has been handled by investigators from the Corruption Eradication Commission (KPK), so the prosecution process is carried out by the public prosecutor from the KPK to continue the trial to the Corruption Court. With respect to cases of criminal acts of corruption, which were carried out concurrently with ML crimes, the value of which was Rp. 1bn and below and had been handled by the prosecutor’s investigators from the start, the prosecution process was carried out by the public prosecutor from the prosecutor’s office to continue the trial to the corruption court.

To the best of the authors’ knowledge, this is the first study to use normative perspective on ML in corruption cases (white-collar crime). In contrast to previous studies that take fraud in general as an object of research, researchers are now interested in focusing more research on detecting suspected ML crimes: a case study on corruption cases in Indonesia.