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The purpose of this paper is to find out what role intermediaries have in facilitating communication with victims and prisoners at Parole Board (PB) oral hearings.

A survey was designed and administered to 39 PB members to find out their perceptions of, and experiences with, the use of intermediaries. Frequency tables and verbatim quotations are used to report the results.

Overall, participants had not experienced any use of intermediaries with victims or family members presenting victim personal statements at an oral hearing. Further, there had been limited use of intermediaries for prisoners attending oral hearings. Nevertheless, there was a good recognition of a range of communication needs that a prisoner might present with at a hearing. There was also general support for the use of intermediaries with some caution about possible delays to procedural fairness.

The early identification of communication support needs for prisoners and victims attending an oral hearing is essential. The PB should raise awareness with the PB Membership about the role of intermediaries. The PB should continue to develop guidance and policy surrounding intermediaries. Prison lawyers and HM Prison and Probation Service may require specialist training in identifying communication needs in vulnerable prisoners and identifying when a communication specialist might be required for an oral hearing.

To the best of the authors’ knowledge, this is the first published paper examining the role of intermediaries at PB oral hearings. It builds on the evidence base of the use of intermediaries in other criminal justice contexts.

We review and synthesize the existing research on directors' and officers’ (D&O) liability insurance. Our objectives are (1) to examine the institutional forces and regulatory requirements that have influenced the development of D&O liability insurance; (2) to identify the factors that influence firms to purchase D&O liability insurance and explore the consequences associated with its usage and (3) to identify gaps in the current literature and provide recommendations for future research on D&O liability insurance.

We perform a systematic literature review (SLR) using the Preferred Reporting Items for a Systematic Review of Meta-Analysis (PRISMA) guidelines to examine archival studies that investigate the determinants and consequences of D&O liability insurance. Using a Boolean search strategy on the “Web of Science” (WoS) and PRISMA selection criteria, we review 64 published archival research articles and three working papers from 1987 to October 2023.

Our review reveals that disclosing detailed information regarding D&O liability insurance, such as total insurance premiums and coverage limit, is predominantly voluntary, except in Taiwan. Our findings suggest that the decision to purchase D&O liability insurance is influenced by litigation risk, which is determined by factors such as firm size, complexity and corporate governance variables. We also find that D&O liability insurance has implications for financial reporting, audit outcomes, investment behavior and capital market performance.

In the post-COVID era, where firms face pressure due to financial constraints, our research emphasizes the practical importance of carefully considering and understanding the impact of D&O liability insurance, particularly as it concerns the demand for such insurance.

To the best of our knowledge, this study represents the first systematic review of previous research on D&O liability insurance. Our review highlights some research gaps, particularly in relation to the implications for financial reporting practices, auditing outcomes, firm investment behavior and capital market consequences.

Recently, a shift regarding the negative consequences of organizational citizenship behaviors (OCBs) has put them forward as employees’ negative aspects carrying dangerous consequences for organizations. Considering this issue’s seriousness, the purpose of this paper is to examine the process through which compulsory citizenship behavior fosters citizenship fatigue.

A total of 370 nurses working in Pakistani public-sector hospitals were this study’s final data set sample using SmartPLS4.

Partial least squares structural equation modeling (PLS-SEM) results revealed that when employees are compelled to engage in extra-role actions, they frequently experience work-life conflict, which results in citizenship fatigue. The higher the employee’s age and the lower the education level, the lower his/her citizenship fatigue. On the other hand, findings revealed that workaholic personality aspects tend to reduce the strength of the relationship between work-life conflict and citizenship fatigue.

To the best of the authors’ knowledge, this paper is the first attempt to examine the recently emerged concept of citizenship fatigue among health-care professionals through conservation of resources theory. Besides, this research will highlight how the demand for voluntary actions in routine or forced citizenship behavior can become the reason for work–family conflict and ultimately create citizenship fatigue. Additionally, this paper presents the novel concept of workaholic personality and how it can play a positive role in the linkage between work–family conflict and citizenship fatigue.

Delay and disruption claims involve a complex process that often result in disputes, unnecessary expenses and time loss on construction projects. This study aims to review and synthesize the contributions of previous research undertaken in this area and propose future directions for improving the process of delay and disruption claims.

This study adopted a holistic systematic review of literature following Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. A total of 230 articles were shortlisted related to delay and disruption claims in construction using Scopus and Web of Science databases.

Six research themes were identified and critically reviewed including delay analysis, disruption analysis, claim management, contract administration, dispute resolution and delay and disruption information and records. The systematic review showed that there is a dearth of research on managing the wide-ranging information required for delay and disruption claims, ensuring the transparency and uniformity in delay and disruption claims’ information and adopting an end-user’s centred research approach for resolving the problems in the process of delay and disruption claims.

Complexities in delay and disruption claims are real-world problems faced by industry practitioners. The findings will help the research community and industry practitioners to prioritize their energies toward information management of delay and disruption claims.

This study contributes to the body of knowledge in delay and disruption claims by identifying the need for conducting more research on its information requirements and management. Subsequently, it provides an insight on the use of modern technologies such as drones, building information modeling, radio frequency identifiers, blockchain, Bigdata and machine learning, as tools for more structured and efficient attainment of required information in a transparent and consistent manner. It also recommends greater use of design science research approach for delay and disruption claims. This will help to ensure delay and disruption claims are the least complex and less dispute-prone process.

Behavioral characteristics and the existence of personal knowledge and skills that are essential in forming a capable manager with specialized insight, is one of the most important evaluation processes in appointing a manager. Wisdom as a trait of a set of personal characteristics and cognitive knowledge of a capable manager will gain competitive advantages for the company and external stakeholders. The purpose of this study is to present the framework of managerial financial wisdom through qualitative and quantitative research methodologies.

The study uses grounded theory methodology to identify factors for managerial financial wisdom and uses a MICMAC process to evaluate the power of driving and dependence among factors. MaxQDA software was used for data coding and analysis. The MICMAC process by determining the location of each of the sub-themes in the four-dimensional matrix, seeks to determine the most effective criterion in the context of the study. The method of data collection is mixed and in terms of philosophical nature, this study is inductive/comparative.

The results of the research in the qualitative part indicate the presentation of a framework based on two categories, four components, and thirty themes. The results of the quantitative part of the study also showed that the most important factor of managerial financial wisdom is market-oriented values. Finally, it was found that the social trust caused by managerial financial wisdom is considered a factor in gaining more shares in the capital market due to the positive stimulus in this dimension.

The study is relevant for both practitioners and academia and has significant implications. For practitioners, the structural linkages identified will help enhance managerial wisdom effectiveness and drive the critical metrics for financial decisions and shareholders' rights protection. The study may help financial market practitioners better understand future policies. Academia and researchers can take reference from methodologies used in this study for exploring factors of interest and developing matrix linkages among them.

In today’s digital age, news and social media are abuzz with ChatGPT and a myriad of advanced AI tools. Experts from disciplines like computer science and socioeconomics have discussed the profound transformations AI can bring. While certain industries have embraced AI, its penetration across all sectors remains uneven. Yet, even with this limited adoption, the psychological ramifications it presents for workplace employees are profound. Our study integrated social information processing and transactional stress theories to analyze the effect of automation brought by AI on job insecurity. Our study also considers whether moderating factors like supervisor–subordinate relationships and social media engagement can alleviate the adverse consequences of automation.

We empirically test our research hypotheses with longitudinal data from the US General Social Survey (GSS).

Using US General Social Survey data, our findings indicate that employees in industries with high automation potential are more susceptible to job insecurity. Interestingly, social media engagement appears to dampen this relationship, while the quality of the supervisor–subordinate relationship shows negligible impact.

This study provides valuable insights into the effects of automation potential and the role of social media engagement in coping with it, making a meaningful contribution to the existing literature in this area.

Relational contracting is increasingly being applied to complex and uncertain construction projects. However, it has proved hard to achieve stable performance and industry-level learning in this field. This paper employs an institutional perspective to analyze how legitimacy for relational contracting has been produced and challenged in Denmark, Finland, Norway and Sweden, including implications for dissemination and learning.

A collaborative case study design is used, where longitudinal accounts of the developments in relational contracting over more than 25 years in four Nordic countries were developed by scholars based in each country. The descriptions are underpinned by literature sources from research, practice and policy.

The countries share similar problem perceptions that have triggered the de-institutionalization of traditional contracting practices. Models and policies developed elsewhere are important sources of knowledge and legitimacy. Most countries have seen pendulum movements, where dissemination of relational contracting is followed by backlashes when projects fail to meet projected outcomes. Before long, however, relational contracting tends to re-emerge under new labels and in slightly new forms. Such a proliferation of concepts presents further obstacles to learning. Successful institutionalization is found to rely on realistic goals in combination with broad competence development at the organizational and industry levels.

In seeking inspiration from other countries, policymakers should go beyond contract models to also consider strategies to manage industry-level learning.

The paper provides a unique longitudinal cross-country perspective on the field of relational contracting. As such, it contributes to the small stream of literature on long-term institutional change in the construction sector.

Despite the popularity of the entrepreneurial ecosystem (EE) concept, research on its value-adding activities receives less attention. Thus, in this article, the authors investigate the role of EEs in supporting global value chain (GVC) activities.

The authors employ the fuzzy-set qualitative comparative analysis (fsQCA) technique to identify practical configurations of EE’s framework and systemic conditions spurring GVC activities in 80 countries.

The findings suggest different configurations of EE`s framework and systemic conditions necessary for various GVC activities regarding input-output structure, geographical scope, upgrading, and forward and backward participation.

This study contributes to the extant literature by pioneering the EE approach to explaining GVC development. Moreover, the findings provide novel insights for understanding the EE – GVC interplay. As a result, the study offers a more nuanced understanding of how the EE supports GVC activities.

Transaction laundering has become an increasingly intricate and rampant form of financial misconduct in the age of digital commerce. This research paper conducts an exhaustive examination of this issue, categorizing the various techniques criminals use to highlight areas where existing risk management practices could be further refined. Amid escalating regulatory scrutiny of both financial and nonfinancial entities, the paper stresses the implications of not meeting regulatory standards. As a novel contribution, this study advocates for a shift in risk management strategies. It argues that entities under obligation should harness advanced technological methods to counter transaction laundering challenges effectively. The study serves as a relevant guide for online businesses aiming to strengthen their measures against transaction laundering. For future work, the potential effectiveness of technology-driven countermeasures deserves further scrutiny.

This study used a conceptual legal research method, using a library-based doctrinal legal research approach with a conceptual legal perspective, drawing from existing literature. This study reviewed primary and secondary legal sources, including case law and provisions of the Money Laundering (Prohibition) (Amended) Act, 2012, and the Terrorism (Prevention) Act 2013 (as amended). This study also assessed the provisions of the Economic and Financial Crimes Commission (Establishment) Act, Laws of the Federal Republic of Nigeria, 2004. This research further incorporated a blend of archival and secondary legal sources. This study conducted comparative analyses, examining the legal frameworks of Canada, the UK, Hong Kong and China alongside Nigeria to identify potential lessons for enhancing Nigeria’s legislation concerning money laundering and terrorism financing. This study also assessed problems and derived insights from the study’s findings. This research method was chosen to establish the credibility of the findings regarding the issues of money laundering and terrorist financing.

The analysis uses a comprehensive network dataset, encompassing ties among individuals and businesses in the Netherlands from 2005 to 2019. It integrates administrative data, including family ties, shared bank accounts and employment history, with corporate information and ownership relations from the Chamber of Commerce. Criminal data related to police interventions, legal convictions and suspicious money laundering transactions are linked to these networks. This unique approach overcomes the scarcity of large empirical datasets in criminological research, offering valuable insights into criminal network behavior and dynamics. Understanding how criminal networks adapt to anti-money laundering policies aids regulatory authorities in designing more effective and efficient measures while also enhancing the tools available to enforcement authorities for detection and investigation.

AML policies are often criticized for their high costs relative to the perceived benefits. This paper's method avoids dark number estimations and relies on high-quality administrative data. The theoretical contribution includes an examination of specialization, competition and collaboration within criminal networks. The empirical aspect uses a unique dataset and emerges as a methodology for evaluating the effects of AML policy measures using temporal cluster analysis.