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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.

The role of procurement managers is crucial for diffusing sustainability throughout the supply chain. Whether or not they are willing to pay for sustainability is an important and not yet fully understood question. The authors examine antecedents and consequences of their willingness to pay (WTP) for sustainability.

The authors develop a multi-level framework to examine the WTP for sustainability in a B2B context. The authors test this multi-level framework with 372 procurement managers from multiple sectors and countries using partial least squares structural equation modeling.

The authors find that individual values of procurement managers and institutional pressures directly, while ethical organizational culture indirectly influence WTP for sustainability. Functional and cognitive competencies of procurement managers improve the sustainability of procurement, but not WTP for sustainability. Importantly, WTP for sustainability directly influences the performance of the procurement function which in turn is positively associated with increased organizational performance.

The study, examining the interplay between individual, organizational and contextual factors, provides empirical evidence on the pivotal role of procurement managers in diffusing sustainability throughout the supply chain. The findings of the study, on the one hand, contribute to the literature on operations management and sustainability, and on the other hand, guide policy and managerial actions.

The new disruption in the form of ChatGPT can be a valuable tool for organizations to enhance their knowledge management and decision-making capabilities. This article explores how ChatGPT can enhance organizations' KM capability for improved decision-making and identifies potential risks and opportunities.

Using existing literature and a small-scale case study, we develop a conceptual framework for implementing artificial intelligence on the internal organizational knowledge base of big data and its integration with a larger knowledge base of ChatGPT.

This viewpoint conceptualizes integrating knowledge management and ChatGPT for improved organizational decision-making. By facilitating efficient information retrieval, personalized learning, collaborative knowledge sharing, real-time decision support, and continuous improvement, ChatGPT can help organizations stay competitive and achieve business success.

This is one of the first studies on the integration of organizational knowledge management systems with ChatGPT. This research work proposes a conceptual model on integration of knowledge management with generative AI which can be further tested in actual work settings to check it's applicability and make further modifications.

The study provided insights to managers and executives who, in collaboration with IT professionals, can devise a mechanism for integrating existing knowledge management systems in organizations with ChatGPT.

This is one of the first studies exploring the linkage between ChatGPT and knowledge management for informed decision-making.

Organisational responses to the United Nations Sustainable Development Goals depend on the competency and mindset of business leaders to lead responsibly. This study is informed and underpinned by the Principles of Responsible Management Education. This study aims to examine how embedding the “sustainability mindset principles” within a university programme can contribute to responsible management education and, by extension, leadership development.

An illustrative case study using 84 students was applied, including undergraduate, postgraduate and executive Master of Business Administration students. An exploratory, qualitative design was followed, primarily adopting focus groups.

Evidenced learning gains in connecting sustainability knowledge with personal beliefs and behaviours, provide a compelling basis for educational and business practitioners to focus on the sustainability mindset principles (SMPs). Mapping of mindset against leading global competency frameworks provides important theoretical insight. Learning is illustrated through multiple dimensions (i.e. cognitive, behavioural and affective) to inform leadership development approaches.

The mapping of sustainability competency frameworks against the SMP, alongside qualitative research insights, provides a compelling basis for further research into the learning gains from embedding the mindset principles. The situated nature of the study and the lack of longitudinal measurement of what students take forward into their lives and workplaces is a limiting factor to be considered.

This study evidences the value of “whole-person” learning for responsible management, which can helpfully inform the design of both educational and workplace leadership development programmes.

This study is original in the pedagogic examination of the learning dimensions of the SMPs in a Business and Management programme. It also offers new insights in terms of the implications for leadership development.

The purpose of the study is to identify the soft skills and abilities that are crucial to success in the fields of operations management (OM) and supply chain management (SCM), using the O*NET database and the classification of a set of professional figures integrating values for task skills and abilities needed to operate successfully in these professions.

The study used the O*NET database to identify the soft skills and abilities required for success in OM and SCM industries. Correlation analysis was conducted to determine the tasks required for the job roles and their characteristics in terms of abilities and soft skills. ANOVA analysis was used to validate the findings. The study aims to help companies define specific assessments and tests for OM and SCM roles to measure individual attitudes and correlate them with the job position.

As a result of the work, a set of soft skills and abilities was defined that allow, through correlation analysis, to explain a large number of activities required to work in the operations and SCM (OSCM) environment.

The work is inherently affected by the database used for the professional figures mapped and the scores that are attributed within O*NET to the analyzed elements.

The information resulting from this study can help companies develop specific assessments and tests for the roles of OM and SCM to measure individual attitudes and correlate them with the requirements of the job position. The study aims to address the need to identify soft skills in the human sphere and determine which of them have the most significant impact on the OM and SCM professions.

The originality of this study lies in its approach to identify the set of soft skills and abilities that determine success in the OM and SCM industries. The study used the O*NET database to correlate the tasks required for specific job roles with their corresponding soft skills and abilities. Furthermore, the study used ANOVA analysis to validate the findings in other sectors mapped by the same database. The identified soft skills and abilities can help companies develop specific assessments and tests for OM and SCM roles to measure individual attitudes and correlate them with the requirements of the job position. In addressing the necessity for enhanced clarity in the domain of human factor, this study contributes to identifying key success factors. Subsequent research can further investigate their practical application within companies to formulate targeted growth strategies and make appropriate resource selections for vacant positions.

The evolution of digital construction within Industrial Revolution 5.0 emphasises the harmonious integration of humans and technology, value-driven technology implementation, adaptive leadership and user-centric design solutions. This shift necessitates architects to enhance their soft skills to navigate the transition effectively. Failure to demonstrate these skills may confine architects to passive roles as technology consumers rather than innovative leaders. While existing research predominantly focuses on the technical aspects of digital construction, this study investigates how architects effectively manifest their soft skills within such dynamic contexts, addressing a critical gap in the current literature.

Employing an interpretive phenomenological approach, the research engaged 14 individual architects practicing in architectural consultancy practices (ACPs) in Malaysia through semi-structured interviews and written exercises to unveil their experiences.

Thematic analysis revealed six primary themes: “analytical and critical thinking,” “digital communication,” “diversity in leadership styles,” “emotional intelligence,” “ethics and professionalism,” and “curiosity and agility.”

Furthermore, the developed thematic map serves as a foundational resource for human resource practices aiming to design upskilling and reskilling programs that focus on nurturing soft skills. Emphasising soft skills, these programs are designed to thrive in the digital construction era and beyond.

These shared experiences significantly contribute to the theoretical understanding of soft skills within the digital construction context, providing novel insights into their practical application when addressing real-world implications.

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 purpose of this study is to examine the effect of technical skills, soft skills and social mobility skills on the perceived employability of Malaysian undergraduates in energy-focused universities. This study also aims to investigate the moderating effects of academic performance on such relationships.

To accomplish these objectives, this study employed partial least squares-structural equation modelling (PLS-SEM) to analyse data obtained from 247 Malaysian undergraduates from public and private energy-focused universities across Malaysia. The Human Capital Theory served as the overarching theoretical framework for the study.

The study reveals that even if an undergraduate has stellar grades, they will not help him/her to land a job if they lack basic technical and computing skills. This study also indicates that undergraduates’ current academic performance affects their perceived employability despite already possessing the necessary soft skills. Along with academic performance, social mobility skills can be a determining factor in how graduates see their own employability. This is because social mobility has a significant impact on graduates’ chances of finding gainful employment.

This study provides insights into how technical skills, soft skills and social mobility skills influence the perceived employability of Malaysian undergraduates, especially in energy-focused universities, and the role of various parties involved. These parties, such as higher education institutions, are the key players that can initiate strategies to enhance specific skills and steer a public conversation towards a more methodical strategy for boosting graduates’ employability for future employment. This research also sheds light on how to better prepare for emerging job opportunities in the energy sector.

The study examines the effect of technical skills, soft skills and social mobility skills on the perceived employability of Malaysian undergraduates in energy-focused universities for future employment among Malaysia’s universities’ graduates. By providing a multidisciplinary viewpoint, this study paves the way for future research partnerships among experts in higher education, researchers in related fields and career researchers.

We identify lessons from a project sponsored by a large charitable trust, which sought to build capability for end-of-life (EOL) care in Hong Kong through interdisciplinary and multi-agency collaboration.

An in-depth case study drawing on 21 in-depth interviews with diverse stakeholders was conducted. Lyman et al.’s (2018) model of organisational learning (OL) in healthcare settings was applied to analyse the relative emphasis on particular contextual factors and mechanisms, and to identify outcomes perceived to have been achieved.

Infrastructure such as materials for assessment and education received the most emphasis among the contextual factors and deliberate learning such as training sessions received the greatest attention among the mechanisms. While perceptions indicated that desired outcomes were being achieved in terms of social impact, there were relatively few mentions of “soft” factors such as enhanced motivation, leadership or OL skills among staff.

This study extends the literature on how to create valuable social impact through OL. While prior studies have examined social impact in terms of solutions for social and environmental problems, ours is one of the few that examines how improvements are made to organisations’ capability to deliver such impacts in the context of healthcare.

The purpose of this research is to ascertain the feasibility of fabricating polymer optical fibers (POFs) based textile structures by knitting with Polymethylmethacrylate (PMMA) based optical fibers for textile sensor application. It has long been established that by using the principles of physics, POFs have the capability to function as sensors, detecting strain, temperature and other variables. However, POF applications such as strain and pressure sensing using knitting techniques has since not been very successful due to a number of reasons. Commercially available PMMA-based optical fibers tend to be fragile and susceptible to breakages when subjected to stress during the knitting processes. Also light transmitted within these fibers is prone to leakage due to the curvature that results when optical fibers are interlaced or interlooped within fabric structures.

Using Stoll’s multi-gauge CMS 350 HP knitting machine, five fabric structures namely, 1 × 4 float knit structure, tunnel inlay knit structure, 3:1 fleece fabric and 2:1 fleece fabric structure respectively were used to knit sensor samples. The samples were subsequently tested for length of illumination and sensitivity relative to applied pressure.

The results of this preliminary study establish that embedding plastic optical fibers into a knitted structure during the fabric formation process for soft strain sensor application possible. The best illumination performance was recorded for tunnel inlay structure which had an average of 94 cm course length of POF being illuminated. Sensor sensitivity experiments also establish that the relative spectral intensity of the fiber is sensitive to both light and pressure. Problems encountered and recommendations for further research have also been discussed and proffered.

Due to resource limitations, an innovative technique (use of precision weight set) was used to apply pressure to the sensors. Consequently, information regarding the extent of corresponding sensor deformation has not been used in this initial analysis.

Because the fundamental step toward finding a solution to any engineering problem is the acquisition of reliable data, and considering the fact that most of the popular technologies used for soft textile sensors are still bedeviled with the problem of signal instability and noise, the success of this application thus has the tendency to promote the wide spread adoption of POF sensors for smart apparel applications.

As far as research on soft strain sensors is concerned, to the best of the authors’ knowledge, this is the first study to have attempted to knit deformable sensors using commercially available POFs.