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Crowd network systems have been deemed as a promising mode of modern service industry and future economic society, and taking crowd network as the research object and exploring its operation mechanism and laws is of great significance for realizing the effective governance of the government and the rapid development of economy, avoiding social chaos and mutation. Because crowd network is a large-scale, dynamic and diversified online deep interconnection, its most results cannot be observed in real world, and it cannot be carried out in accordance with traditional way, simulation is of great importance to put forward related research. To solve above problems, this paper aims to propose a simulation architecture based on the characteristics of crowd network and to verify the feasibility of this architecture through a simulation example.

This paper adopts a data-driven architecture by deeply analyzing existing large-scale simulation architectures and proposes a novel reflective memory-based architecture for crowd network simulations. In this paper, the architecture is analyzed from three aspects: implementation framework, functional architecture and implementation architecture. The proposed architecture adopts a general structure to decouple related work in a harmonious way and gets support for reflection storage by connecting to different devices via reflection memory card. Several toolkits for system implementation are designed and connected by data-driven files (DDF), and these XML files constitute a persistent storage layer. To improve the credibility of simulations, VV&A (verification, validation and accreditation) is introduced into the architecture to verify the accuracy of simulation system executions.

Implementation framework introduces the scenes, methods and toolkits involved in the whole simulation architecture construction process. Functional architecture adopts a general structure to decouple related work in a harmonious way. In the implementation architecture, several toolkits for system implementation are designed, which are connected by DDF, and these XML files constitute a persistent storage layer. Crowd network simulations obtain the support of reflective memory by connecting the reflective memory cards on different devices and connect the interfaces of relevant simulation software to complete the corresponding function call. Meanwhile, to improve the credibility of simulations, VV&A is introduced into the architecture to verify the accuracy of simulation system executions.

This paper proposes a novel reflective memory-based architecture for crowd network simulations. Reflective memory is adopted as share memory within given simulation execution in this architecture; communication efficiency and capability have greatly improved by this share memory-based architecture. This paper adopts a data-driven architecture; the architecture mainly relies on XML files to drive the entire simulation process, and XML files have strong readability and do not need special software to read.

The purpose of this paper is to introduce an evidence-based, transferable framework of graduate attributes and associated university toolkit to support the writing of level-appropriate learning outcomes that enable the university to achieve its mission to Transform Lives + Inspire Change.

An iterative process of co-design and co-development was employed to produce both the framework and the associated learning outcomes toolkit.

There is tangible benefit in adopting an integrated framework that enables students to develop personal literacy and graduate identity. The toolkit enables staff to write assessable learning outcomes that support student progression and enable achievement of the framework objective.

While the framework has been in use for two years, institutional use of the toolkit is still in its early stages. Phase 2 of the project will explore how effectively the toolkit achieves the framework objective.

The introduction of a consistent, integrated framework enables students to develop and actively increase personal literacy through the deliberate construction of their unique graduate identity.

Embedding the institutional Changemaker attributes alongside the agreed employability skills enables students to develop and articulate specifically what it means to be a “Northampton graduate”.

The uniqueness of this project is the student-centred framework and the combination of curricular, extra- and co-curricular initiatives that provide a consistent language around employability across disciplines. This is achieved through use of the learning outcomes toolkit to scaffold student progression.

Debate is growing around the expansion of risk-based regulation. The regulation scholarship provides evidence of regulatory failure of the risk-based approach in different domains, including financial regulation. Therefore, this paper aims to provide cautionary evidence about the risk of regulatory failure of risk-based strategy in the financial regulation while using enterprise risk management (ERM) as a meta-regulatory toolkit.

Based on interview data gathered from 30 risk managers of banks and five regulatory personnel, combined with secondary data, this study mainly explores the challenges for meaningful use of ERM based self-regulation in regulated banks. The evidence helps to assess the risk of regulatory failure of the risk-based regulation while using ERM.

The evidence reflects that regulated banks face diverse challenges arising from both peripheral and internal environments that limit the true internalization of ERM-based self-regulation. Despite this, the regulator uses this self-regulation as a meta-regulatory toolkit under the risk-based regulation to achieve the regulatory aims. However, the lack of true internalization of ERM based self-regulation is likely to raise the risk of regulatory failure of risk-based regulation to achieve the regulatory goals. Risk-based regulation is an evolving strategy in the regulatory regime. Therefore, care should be taken while using ERM as a regulatory toolkit before relying on it substantially.

The paper provides empirical insights about the challenges for effective use of ERM as a meta regulatory toolkit that might be useful practically both to the regulators and regulated firms.

This article describes the development and initial experiences of Design Your Life, a new design approach implementing user-initiated design of technological environments that support autistic young adults to live independently.

This article makes use of a phenomenological Research-through-Design approach. Investigation of possible ways in which a set of four guiding principles could be applied into a design toolkit for autistic young adults and their caregivers by means of three design case studies was conducted. Promising methods from the design practice and literature were applied and contrasted with the lived experiences and practical contexts of autistic young adults and their caregivers.

This exploratory research yielded several important insights for the design direction of Design Your Life. Reflecting on how the guiding principles played out in practice it was noted that: the case studies showed that stakeholders appreciate the approach. The design principles applied cannot be used without the help of a sparring partner. This suggests that caregivers may be trained in design-thinking to fulfil this role. The Design Your Life method will be iteratively developed, refined and validated in practice.

The presented approach puts design tools in the hands of the people who will use the technology. Furthermore, the approach sees technologies as empowering interventions by which a person can strengthen their own living environment. According to this article, this approach is new for this application. It provides valuable perspectives and considerations for autistic people, caregivers, researchers and policy makers.

To build public trust in the accounting profession, previous research studies have stressed the need for ethics education. This present research aims to investigate the effects of teaching ethics using the ethics education toolkit (EET) developed by the International Accounting Education Standards Board on accounting students’ moral judgment.

An experimental design was used to determine the effects of teaching ethics using the EET on moral judgment. Data were obtained using the multidimensional ethics scale questionnaire and analysed with multiple linear regression. Factor analysis was performed to obtain the four moral philosophies defined in the literature.

The results confirm that use of the EET improves the moral judgment of accounting students. The influence of utilitarianism and relativism on moral judgment was reduced, while the students’ ability to recognise violating an unwritten contract as an unethical act was improved. Contrary to expectations, the influence of justice on moral judgment decreased.

The study may benefit academics by showing positive outcomes of EET use. The EET is a well-developed teaching tool, also suitable for educators insufficiently qualified to develop their own ethics courses or facing time constraints.

The EET was developed to support implementation of ethics education in programmes for professional accountants. By investigating the applicability and effects of the tool in higher education, this study aims to develop moral judgment in accounting students before they enter the accounting profession.

The purpose of this paper is to present conceptual definitions for digital object use and reuse. Typically, assessment of digital repository content struggles to go beyond traditional usage metrics such as clicks, views or downloads. This is problematic for galleries, libraries, archives, museums and repositories (GLAMR) practitioners because use assessment does not tell a nuanced story of how users engage with digital content and objects.

This paper reviews prior research and literature aimed at defining use and reuse of digital content in GLAMR contexts and builds off of this group’s previous research to devise a new model for defining use and reuse called the use-reuse matrix.

This paper presents the use-reuse matrix, which visually represents eight categories and numerous examples of use and reuse. Additionally, the paper explores the concept of “permeability” and its bearing on the matrix. It concludes with the next steps for future research and application in the development of the Digital Content Reuse Assessment Framework Toolkit (D-CRAFT).

The authors developed this model and definitions to inform D-CRAFT, an Institute of Museum and Library Services National Leadership Grant project. This toolkit is being developed to help practitioners assess reuse at their own institutions.

To the best of the authors’ knowledge, this paper is one of the first to propose distinct definitions that describe and differentiate between digital object use and reuse in the context of assessing digital collections and data.

Educational policy instruments such as apprenticeship levy and forthcoming lifetime skills guarantee are creating unprecedented opportunities for rapid growth in a range of work-based learning (WBL) programmes, requiring increasingly complex levels of collaboration between providers and employers. Apprenticeships require providers to assume responsibility in ensuring apprentices’ work-based managers and mentors (WBMMs) are equipped to provide effective support to individuals as they learn ‘on the job’. After six years of higher education institution (HEI) apprenticeship curriculum delivery, there is opportunity to examine existing WBMM practice to inform the design, content and delivery of a shared knowledge base via a practical interactive toolkit. By developing clearer understanding of WBMMs’ experiences, expectations and challenges, the study aims to reduce potential gaps in knowledge and skills and encourage more effective collaboration between employers and providers to better support apprentices as they progress through WBL programmes.

This paper discusses evolution of higher level and degree apprenticeships, explores guidance for WBMMs and investigates the influence of expectations and motivations of WBMMS. Theoretical and conceptual foundations relating to WBL programme delivery and WBMM role are analysed and discussed. Qualitative data drawn from semi-structured surveys are analysed thematically to investigate common patterns, clarify understanding and identify development areas to inform future university provider and employer practice.

The findings suggest a number of themes to improve apprentice management; further clarity of WBMMs role, greater involvement of WBMM’s for negotiated learning, unplanned experiences do add value and scope for richer mentoring dialogues. WBL value for WBMMs is broader than expected, incorporating apprentice performance and output improvements, and solving complex problems.

The research is drawn from an established university with five years of experience. However, the context in which programmes are delivered significantly varies according to providers and employers. This means factors other than those highlighted in this paper may continue to emerge as the research in this field develops.

The practical implications from findings can be used to cultivate stronger collaboration, providing a foundation of knowledge intended to provoke further dialogue regarding content for an interactive toolkit. The findings signal the need for further resources, a review of the restrictions associated with levy funding for co-creation of a more effective national apprenticeship framework.

This paper builds on a limited body of research examining employers’ perspectives of apprenticeship management. Degree apprenticeships have attracted limited scholarly attention over six years since their inception (Bowman, 2022) resulting in a significant paucity of research that focuses upon employer role. This study addresses this void by exploring WBMMs experiences, requirements and expectations, revealing new insights for providers of WBL, employers and individuals employed as WBMMs.

This paper aims to demonstrate the approach taken in delivering the quality and impact elements of Knowledge for Healthcare, the strategic development framework for National Health Service (NHS) library and knowledge services in England. It examines the work undertaken to enhance quality and demonstrate the value and impact of health library and knowledge services. It describes the interventions developed and implemented over a five-year period 2015–2020 and the move towards an outcome rather than process approach to impact and quality.

The case study illustrates a range of interventions that have been developed, including the outcomes of implementation to date. The methodology behind each intervention is informed by the evidence base and includes professional engagement.

The outcomes approach to the development and implementation of quality and impact interventions and assets provides evidence to demonstrate the value of library and knowledge staff to the NHS in England to both high-level decision-makers and service users.

The interventions are original concepts developed within the NHS to demonstrate system-wide impacts and change. The Evaluation Framework has been developed based on the impact planning and assessment (IPA) methodology. The interventions can be applied to other healthcare systems, and the generic learning is transferable to other library and knowledge sectors, such as higher education.

The purpose of this paper is to highlight the initial top-level findings of a year-long comprehensive needs assessment, conducted with the digital library community, to reveal reuse assessment practices and requirements for digital assets held by cultural heritage and research organizations. The type of assessment examined is in contrast to traditional library analytics, and does not focus on access statistics, but rather on how users utilize and transform unique materials from digital collections.

This paper takes a variety of investigative approaches to explore the current landscape, and future needs, of digital library reuse assessment. This includes the development and analysis of pre- and post-study surveys, in-person and virtual focus group sessions, a literature review, and the incorporation of community and advisory board feedback.

The digital library community is searching for ways to better understand how materials are reused and repurposed. This paper shares the initial quantitative and qualitative analysis and results of a community needs assessment conducted in 2017 and 2018 that illuminates the current and hoped for landscape of digital library reuse assessment, its strengths, weaknesses and community applications.

In so far as the authors are aware, this is the first paper to examine with a broad lens the reuse assessment needs of the digital library community. The preliminary analysis and initial findings have not been previously published.

The purpose of this paper is to characterize distracted driving by quantifying the response time and response intensity to an emergency stop using the driver’s physiological states.

Field tests with 17 participants were conducted in the connected and automated vehicle test field. All participants were required to prioritize their primary driving tasks while a secondary nondriving task was asked to be executed. Demographic data, vehicle trajectory data and various physiological data were recorded through a biosignalsplux signal data acquisition toolkit, such as electrocardiograph for heart rate, electromyography for muscle strength, electrodermal activity for skin conductance and force-sensing resistor for braking pressure.

This study quantified the psychophysiological responses of the driver who returns to the primary driving task from the secondary nondriving task when an emergency occurs. The results provided a prototype analysis of the time required for making a decision in the context of advanced driver assistance systems or for rebuilding the situational awareness in future automated vehicles when a driver’s take-over maneuver is needed.

The hypothesis is that the secondary task will result in a higher mental workload and a prolonged reaction time. Therefore, the driver states in distracted driving are significantly different than in regular driving, the physiological signal improves measuring the brake response time and distraction levels and brake intensity can be expressed as functions of driver demographics. To the best of the authors’ knowledge, this is the first study using psychophysiological measures to quantify a driver’s response to an emergency stop during distracted driving.