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This study aims to ascertain the personal characteristics of a group of successful academic entrepreneurs in a South African university enterprise and the prevalent barriers and enablers to their entrepreneurial endeavour.

The authors used a Delphi process to identify and rank the characteristics, enablers, barriers and behaviours of entrepreneurial academics, with a Nominal Group Technique applied to establish challenges they encounter managing their enterprise and to propose solutions.

Perseverance, resilience and innovation are critical personal characteristics, while collaborative networks, efficient research infrastructure and established research competence are essential for success. The university’s support for entrepreneurship is a significant enabler, with unnecessary bureaucracy and poor access to project and general enterprise funding an impediment. Successful academic entrepreneurs have strong leadership, and effective management and communication skills.

The main limitation is the small study participant group drawn from a single university enterprise, which complicates generalisability. The study supported the use of Krueger’s (2009) entrepreneurial intentions model for low- and middle-income country (LMIC) academic entrepreneur investigation but proposed the inclusion of mitigators to entrepreneurial activation to recognise contextual deficiencies and challenges.

Skills-deficient LMIC universities should extensively and directly support their entrepreneurial academics to overcome their contextual deficiencies and challenging environment.

This study contributes to addressing the paucity of academic entrepreneur research in LMIC contexts by identifying LMIC-specific factors that inhibit the entrepreneur’s movement from entrepreneurial intention to entrepreneurial action.

Unlike other types of corporate disclosure, corporate political disclosure (CPD), which is the disclosure of corporate political contributions and the related governing policies and oversight mechanisms, does not provide completely new information to stakeholders. Some of the information disclosed in CPD is available from other public records (e.g. the Federal Election Committee website or OpenSecrets website). Given this unique feature of CPD, it is interesting to investigate the cost and benefit tradeoff for firms of altering their CPD practice in response to policy and political uncertainty.

This study employs recently developed indexes of aggregate economic policy uncertainty (EPU) and a novel dataset of CPD transparency to examine the impact of EPU on CPD transparency and how the proprietary cost of corporate political activities moderates this association. The sample consists of S&P 500 companies from the 2012 to 2019 period.

The authors document that firms mitigate the heightened information asymmetry associated with higher aggregate EPU by increasing CPD transparency. The positive association between EPU and CPD is less pronounced for firms that are more sensitive to EPU, for firms that more actively manage EPU through corporate political contributions or lobbying activities and for firms that are followed by more analysts. The authors also find that more transparent CPD helps to mitigate the information asymmetry caused by heightened EPU. This study’s results hold when the authors control for other types of voluntary corporate disclosure.

This study contributes to the emerging literature on the determinants of CPD transparency by identifying EPU's positive impact on CPD transparency. This study also provides empirical evidence that the proprietary costs arising from the controversial nature of corporate political activities dampen firms' incentives to provide transparent CPD in response to heightened EPU, and that information on corporate political activities gathered and processed by financial analysts seems to lower the marginal benefit to companies of publicizing CPD on their own website.

By adopting the “hard” and “soft” project management (PM) approaches from the PM-literature, this paper aims to problematize the expected role of client organizations in driving innovation in the transport infrastructure sector.

Addressing a large public client in Sweden, a case study design was initially applied to provide in-depth insights and perspectives of client project managers’ views and experiences of managing projects expected to drive innovation. In this paper, the concepts of “hard” and “soft” are used to discuss empirical findings on challenges associated with adopting a PM-approach for driving innovation in projects. The empirical material consists of interview data, complemented with observations and archival data.

Findings reveal challenges associated with combining hard and soft approaches, frequently demonstrating difficulties in balancing short-term project expectations with the promotion of innovation. In line with the literature, project managers note that there is a need for soft approaches to promote development and drive innovation. Yet, findings reflect a situation in which operational success criteria predominate, whereas soft approaches are not sufficiently used to create the grounds required for fostering innovation.

Insights are provided into how PM-approaches may impact construction innovation in the infrastructure sector, demonstrating a need for further research on the challenges and implications of applying and combining hard and soft PM-approaches.

The new technology-enabled means to transfer funds or value via crypto assets have prompted regulators and supervisors to question the effectiveness of the anti-money laundering (AML) regulatory framework. This paper aims to examine the recent developments of the EU AML legislation – leading up to the 2021 AML package – focusing in particular on the banks’ internal governance obligations.

The analysis is based on the legal dogmatic methodology and is therefore conducted thanks to a critical exam of the current and upcoming EU policy and legislation, taking into account the relevant literature and case-law.

The recent regulatory developments, culminating in the AML regulation, are strengthening the causal links between ML risk assessment–ML risk exposure–ML risk management, via internal governance procedures. One of the major AML regulatory strategies to react to the new challenges brought up by crypto assets amounts to a stricter and more demanding AML risk management regime imposed on banks.

The originality of this article lies in the analysis of the causal connection between money laundering risk identification and internal governance obligations. In particular, this article examines how the risk assessment will be shaping the organizational procedures, processes and internal functions necessary to manage the money laundering risks.

Drawing motivation from the greater exposure to uncertainty and condition changes that affect large projects due to their long lifecycle, this paper aims to investigate how the time factor affects the use of governance mechanisms to pursue the success of these projects.

To pursue its aim, the article applies the dichotomization between the hard and soft mechanisms of project governance to the analysis of a historical case study, whose findings are organized over the short, medium and long periods. The case selected is referred to the peculiar water system, made up of tunnels named “bottini,” that was in use in Siena (Italy) as the old aqueduct. Specifically, the study focuses on the project of expansion of this water system that was realized during the 14th century for the construction of the “Bottino maestro di Fontegaia.”

This article highlights the different relevance that, during the lifecycle of large projects, is assumed by hard and soft governance mechanisms, with the former having main relevance in a short and medium period, and the latter usually emerging in the medium period and, subsequently, playing a growing role for the project success in the long period.

The article contributes to the literature on large projects by providing novel insights about how the time factor impacts the governance of these projects. Furthermore, the case study, with its unique history, highlights the relevance of combining effectively the hard and the soft dimensions of project governance to pursue success.

Purpose. This chapter discusses the challenges and different strategies to increase skill development for the future workforce.

Methodology. Multiple sources on the topic were studied and reviewed in this chapter. The idea of skill and its development is discussed in the literature review.

Findings. Different nations’ governments have promoted human capital development by providing up-skilling and retraining programs to balance supply and demand. Skills gaps need to be brought to the attention of stakeholders, such as governments, businesses, and the educational system. Teachers, employers, and other stakeholders need to develop strategies and action plans to ensure that the skills gaps are appropriately identified and adequately addressed. These initiatives must be developed with input from various stakeholders.

Practical Implications. The research results would inform the curriculum, incorporating skill development processes tailored to various scenarios. These findings would aid business organisations in crafting skill development programs that address identified skill gaps. Challenges in skill development would be taken into account during course development, and relevant teaching–learning materials would be created. Key stakeholders, such as accrediting organisations, employers, and students, should exert more influence on academic institutions to prioritise societal demands for economic development.

Originality/Value. The uniqueness and significance of this chapter lie in its concise summary of the strategies to tackle the hurdles in skill development.

The rise of cryptocurrencies and other digital assets has triggered concerns about regulation and security. Governments and regulatory bodies are challenged to create frameworks that protect consumers, combat money laundering and address risks linked to digital assets. Conventional approaches to confiscation and anti-money laundering are deemed insufficient in this evolving landscape. The absence of a central authority and the use of encryption hinder the identification of asset owners and the tracking of illicit activities. Moreover, the international and cross-border nature of digital assets complicates matters, demanding global coordination. The purpose of this study is to highlight that the effective combat of money laundering, legislative action, innovative investigative techniques and public–private partnerships are crucial.

The focal point of this paper is Australia’s approach to law enforcement in the realm of digital assets. It underscores the pivotal role of robust confiscation mechanisms in disrupting criminal networks operating through digital means. The paper firmly asserts that staying ahead of the curve and maintaining an agile stance is paramount. Criminals are quick to embrace emerging technologies, necessitating proactive measures from policymakers and law enforcement agencies.

It is argued that an agile and comprehensive approach is vital in countering money laundering, as criminals adapt to new technologies. Policymakers and law enforcement agencies must remain proactively ahead of these developments to efficiently identify, trace and seize digital assets involved in illicit activities, thereby safeguarding the integrity of the global financial system.

This paper provides a distinctive perspective by examining Australia’s legal anti-money laundering and counterterrorism financing framework, along with its law enforcement strategies within the realm of the digital asset landscape. While there is a plethora of literature on both asset confiscation and digital assets, there is a noticeable absence of exploration into their interplay, especially within the Australian context.

This project inquires whether transitioning to adopting sustainable practices involves emphasizing the significance of education and skill development that aligns with employees' knowledge. Additionally, this project explores whether soft skills can act as a means for effective communication, collaboration and ethical decision-making when addressing the intricate and socially interconnected nature of sustainability challenges. Thus, this research explores employee sustainability knowledge and soft skills to gain a more nuanced understanding to provide evidence-based recommendations to enhance organizational sustainability initiatives.

This study used a form of chain-referral sampling with two populations. A two-step cluster analysis with a log-likelihood distance measure and Schwarz’s Bayesian criterion was employed to identify communities of employees with different levels of sustainable practices and soft skills knowledge. A corresponding analysis was conducted to better understand different communities in terms of industry and managerial experience. A confirmatory factor analysis was conducted using a covariance-based measurement model to establish measurement validity and reliability and to impute latent variables (i.e. constructs) scores.

Aligning human resource (HR) strategies with these identified knowledge communities enables organizations to strategically enhance comprehensive training programs promoting sustainable practices and soft skills. Tailored training and workforce development programs for each community are recommended, with the proposal of active training methods like Lego Serious Play to dynamically engage employees. As organizations increasingly invest in training, this research offers valuable insights for educators and industry professionals to better cultivate and apply soft skills to develop employee sustainability practices and enhance employee development.

Although this study’s findings are not generalizable to the population, they are useful when considering critical sustainability knowledge and soft skills necessary for employees in the hospitality industry. The convenience sample of this study could have been more robust, with participants with greater tenure in the industry or a better understanding of sustainable practices and soft skill competencies. This research used a Qualtrics survey to gather subject responses. This may have caused biases in responding to the survey, such as a central tendency, immediacy, the rater’s knowledge about each criterion or boredom with the survey length.

The practical implications drawn from this study’s findings offer actionable insights for organizations seeking to enhance sustainability practices within their workforce. As one navigates the diverse landscape of employee categories, including sustainable champions, emerging learners and skillful initiators, it becomes evident that a one-size-fits-all approach to training and workforce education is not conducive to cultivating a sustainable culture. In this section, some possible practical strategies tailored to each employee category are suggested, ensuring that organizations can effectively harness the unique strengths and development needs within their workforce.

Using a social cognitive theoretical lens (Bandura, 1977), sustainable catalysts' elevated knowledge levels make them influential contributors to the organization’s sustainability goals, while their adeptness in soft skills positions them as effective communicators, collaborators and leaders in fostering a culture of sustainability. Figure 1b displays this idea. As such, sustainable catalysts were present four times in the effectiveness of the top five soft skills, meaning these sustainable catalysts should be the area of primary focus as they can assist organizations by educating other employees due to their enhanced soft skills and level of sustainability knowledge.

Rooted in social cognitive theory, this study investigated how HR practices can effectively shape sustainability-related workforce development in the workplace. The results identified distinct knowledge communities – sustainable catalysts, skillful initiators, emerging learners and sustainable champions – aligned with quadrants of sustainable practice effectiveness. Aligning HR strategies with these identified knowledge communities enables organizations to strategically enhance comprehensive training programs promoting sustainable practices and soft skills.

This paper aims to examine the association between money laundering (ML)/terrorist financing (TF) risks (hereafter, money laundering risks) and democratic governance across 117 countries.

A cross-sectional design was used to examine the association between ML risks and democratic governance by a quantitative approach. The findings are based on annual ratings of 117 countries on ML/TF risks and democracy while controlling for criminality and peace. The data was compiled from the Basel Anti-Money Laundering/Countering Financing Terrorism Risks Index, the Economic Intelligence Unit (Democracy Index), the Global Initiative against Transnational Organized Crimes (Criminality Index) and the Institute for Economics and Peace Index for 2020.

A multiple linear regression model found a statistically significant negative association between democratic governance and ML risks (B = −0.354, t = −7.454, p = <0.001) and a significant positive association between criminality and ML risks (B = 0.242, t = 2.692, p = 0.008).

A cross-sectional design cannot determine causal inferences and generalization (Levin, 2006). The study only used a year to examine the hypothesis of a negative correlation between ML risks and democratic governance, thus making generalization difficult.

Extant literature examined ML, terrorism and AML diversely. There was a need to estimate the association between ML risks and democratic governance, especially globally, during a global crisis like COVID-19, when democratic principles, such as the rule of law, transparency and accountability, are challenged. Many personnel were laid off, thus limiting supervision for ML and TF. This study presents evidence of this association.