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Since 2011, the Extremism Risk Guidance (ERG 22+) has been the primary risk assessment framework used for terrorist and violent extremist offenders in England and Wales. The aim of this study was to conduct a rapid evidence assessment to examine the research literature on the ERG22+ factors and to identify possible significant new and emerging knowledge around potential new factors.

Searches were conducted of the Google Scholar database to identify relevant literature published between 2012 and 2020. In total, 29 documents were identified, which examined new radicalisation models and frameworks, 339 were identified, which explored to some extent one or more of the current ERG factors, and a further 138 articles were identified, which focused on potentially relevant additional issues/factors.

Most of the ERG factors were the focus of substantial research activity between 2012 and 2020. Six factors, however, received very little research attention. Potential implications of these trends are considered. Ten research themes were identified with the potential to either form new factors or which could play a significant role in the updating or revision of some existing factors.

This paper is the first rapid evidence assessment on the ERG22+ risk factors. It provides an important picture of the published scientific research of potential relevance in this area and helps to inform the review process for the ERG22+.

This study aims to analyze and synthesize literature on consumer privacy-related behavior and intelligent device-to-device interactions within the Internet of Things (IoT).

We conducted a systematic review using Elsevier’s Scopus database, focusing on studies published in English from 2000 to 2023. The review targeted articles within selected social sciences and business disciplines, specifically concerning consumer behavior in IoT contexts.

We categorized the privacy literature into three thematic clusters: legislation and policy, business implications and consumer behavior. Within the consumer behavior cluster, our analysis indicates a shift from general Internet and e-commerce privacy concerns prior to 2016, toward issues related to advertising and policy between 2017 and 2018, and increasingly toward pronounced concerns in technological systems, particularly IoT, from 2019 onwards. We identify eight distinct areas of privacy concern within IoT and propose a framework that links antecedents and privacy concerns to subsequent attitudes and behaviors. This framework highlights varying patterns of information disclosure and bridges theoretical constructs with empirical research in IoT privacy.

Originality lies in enhancing the Antecedents-Privacy Concerns-Outcomes (APCO) macro-model by integrating diverse theoretical perspectives on technological and individual-specific antecedents, alongside privacy concerns and beliefs. This comprehensive integration enriches the framework, enabling it to predict and categorize consumer behavior in IoT environments more effectively. The revised model provides a robust tool for understanding privacy-related behavior within the IoT, significantly enriching its theoretical relevance and practical applicability.

The purpose of this study was to examine the internalization of group-level identities held by people who are on the sex offense registry and how these influence emotions and the willingness to accept treatment. The types and consequences of identities and stigmas are often examined at the individual level, but most people belong to groups that hold collective identities that can be detected in phrases such as “we, us, our,” etc.

Longitudinal data from 2008 to 2024 was used to examine registrant’s group identities. Interviews were conducted with 115 registrants and 40 of their family members, and narrative research analysis was used to assess how participants’ levels of liminality influence why some on the registry never come to see themselves as sex criminals.

Three group-level identities were found that corresponded with varying phases of liminality. The first group had a fixed mindset, no liminality and a strong sense of self. The second group of registrants had liminoid experiences, allowing them to change the way they saw themselves over time. This group had a growth mindset that believed change was attainable. The third group exhibited fixed mindset, as they either always saw themselves as sex criminals and required no transition or came to see themselves as sex offenders post-punishment.

To the best of the authors’ knowledge, there are no studies that have examined group-level identities among people convicted of sex crimes or what the consequences of group identities have on behavior.

This article focuses on understanding the evolution of the academic identity of a university academic within the contemporary university context, highlighting the significant influence of professional performance evaluations.

In order to achieve the objectives, a narrative-biographical approach was used, through an in-depth analysis of the life and professional career of a Spanish academic.

The results reveal a progression in identity from a state of naivety to that of a survivor, characterized by a strong adherence to the demands of scientific production, with research assuming a central role. This shift is motivated by an enduring pursuit of stable employment conducive to full professional and personal development. Several factors influence this change, including the context of evaluation, lack of funding, relationship with the thesis supervisor, and job instability, among others. The article concludes by outlining policy implications aimed at enhancing the work and professional standards of university faculty. These recommendations include awareness-raising initiatives, re-evaluating existing evaluation systems, and promoting institutional support, among other measures. Implementing these strategies is expected to optimize the professional growth of academics and, therefore, enhance the quality of services provided by universities.

Although previous research has acknowledged the impact of these evaluations, this study stands out by exploring how academic identity is shaped and reconfigured over the course of a career.

This study investigates the relationship between mental well-being (MWB) and social support (SS) whilst addressing the paucity of research on students' support for emergency contact schemes (ECSs) and their views on how and when such schemes should be implemented.

In total, 113 students recruited via opportunistic sampling completed an online survey including the Interpersonal Support Evaluation List - shortened version (Cohen et al. 1985), Warwick–Edinburgh Mental Wellbeing Scale (Tennant et al. 2007) and questions about ECS. A correlational design used the Pearson product-moment correlation to explore the relationship between MWB and SS. A between-subjects design using independent measures t-test investigated differences in SS and MWB between those with and without a “trusted person” (TP).

The preferred name was “Named Trusted Person Scheme” (NTPS), the preferred TP was parent/guardian or partner, and the preferred means of contact was Personal Tutor to mobile phone. Most students (96%) supported the use of an NTPS when serious concerns were raised about mental or physical health, personal safety or student engagement. Those opposed were concerned about a loss of agency, identifying a TP or the TP worsening the situation. MWB was positively correlated with SS, and those with a TP had higher levels of MWB and SS than those without.

This study addresses the under-explored area of students' support for ECS, whilst enhancing our understanding of the relationship between MWB and SS especially amongst those without a person they can trust. This research provides valuable insights for universities looking to implement or refine such schemes, with the potential to improve students' MWB, academic achievement and retention by enhancing support.

Disasters and pandemics pose challenges to health-care provision. Accordingly, the need for adopting innovative approach is required in providing care to patient. Therefore, the purpose of this study is to present telehealth as an innovative approach for providing care to patients and reducing spread of the infection and advocates for the adoption of telehealth for digitalized treatment of patients.

An integrative review methodology of existing evidence was conducted to provide implications for integration of telehealth for digitalized treatment of patients. This paper draws on Technology Organization Environment (TOE) framework to develop a model and propositions to investigate the factors that influence telehealth adoption from the perspective of the supply side and the demand side of medical services.

Findings from this study discuss applications adopted for telehealth and recommendations on how telehealth can be adopted for medical-care delivery. More importantly, the findings and propositions of this study can act as a roadmap to potential research opportunities within and beyond the pandemic. In addition, findings from this study help provide guidelines on how health practitioners can rapidly integrate telehealth into practice for public health emergencies.

This study identifies the social, technological and organizational factors that influence telehealth adoption, and opportunities of adopting telehealth during the public health emergencies. This study concludes that specific policy changes to improve integration of interoperable solutions; data security; better physical infrastructures; broadband access; better transition and workflow balance; availability of funding and remuneration; regulations and reimbursement; awareness; and training will improve telehealth adoption during public health emergencies.

The purpose of this study is to investigate the influence of design for lean six sigma (DFLSS) on operational functions of the innovation management model by appraising an innovation management assessment framework.

An empirical approach for evaluating causal relationships among various constructs in the model phases that identify optimum pathways in achieving commercial success was adopted. A quantitative analysis of survey data were collected from large, medium and small organiations, including incubators in ANZ (Australia, New Zealand) and TMSV (Thailand, Malaysia, Sri Lanka and Vietnam).

The structural equation modelling recursive path analysis results of the model provide empirical evidence and pathways through the various constructs considered in the model. All these pathways lead to delivering optimum commercialization success (CS). Furthermore, DFLSS is confirmed as an enabler and has direct one-to-one and indirect influence on all the operational function constructs of the model including commercial success.

This study had a relatively small sample size of completed responses obtained from the population and a constrained ability to compare commercialization success (CS) between the two regions in the dataset. Future studies could be conducted on a global scale to increase responses.

The research findings enabled the development of important and practical guidelines for managers and innovation practitioners engaged in planning and management of innovation.

This research offers a holistic approach for integrating DFLSS with stage gate phases of innovation management assessment framework, supported by empirical evidence, to aid organizations in effectively managing the innovation process and achieving greater success in commercialization.

Despite the increasing numbers of research studies about social media business, the concept of social media agility is still an emerging topic that has been understudied. Therefore, the purpose of this study was to investigate the effect of social media agility on business performance by using a sample of small- and medium-sized enterprises (SMEs) in Thailand. Moreover, this study explored whether the effect of social media agility on business performance could be moderated by the characteristic of firm in terms of size, as well as the characteristic of market environment in terms of environmental dynamism.

The sample of 337 firms was obtained from the business directory using the simple random sampling method, and the model assessment was performed by using partial least squares structural equation modeling.

The data analysis indicated that social media agility positively affected the business performance of SMEs. Moreover, the moderating effect analysis showed that smaller firms tended to gain higher business performance from social media agility than larger firms. In addition, social media agility positively affected business performance to a greater extent when firms operated under low environmental dynamism than when they operated under high environmental dynamism.

Because SMEs are the key driving of economic development and economic growth, the recommendations from this study could be helpful for the government sector responsible for the competency development of SMEs to offer a development program that might enable entrepreneurial firms to develop social media marketing competencies and enhance their potential to be successful in the digital transformation.

The authors found new evidence showing that the degree to which social media agility affected business performance depended significantly on the firm characteristics in terms of firm size, as well as the environmental factor in terms of environmental dynamism. These findings provide valuable contributions to the existing literature that still lacks evidence about the moderating conditions that could increase or reduce the benefits that firms obtain from social media agility.

The purpose of this research is to address the existing gap in the study of construction and demolition waste (C&DW) by focusing on its impact on human health throughout the entire life cycle. And this research provides a comprehensive assessment model that incorporates the release of gaseous pollutants and particulate matter during the whole life cycle of C&DW, thereby contributing to a more holistic understanding of its impact on human health.

The research was conducted in two stages. Firstly, the quantitative model framework of pollutants emitted by C&DW was established. Three types of pollutants were considered, namely nitrogen dioxide (NO₂), sulfur dioxide (SO₂) and inhalable particulate matter (PM10). Second, disability-adjusted life year (DALY) and willingness to pay (WTP) assessments were used to provide a monetary quantified health impact for pollutants released by C&DW.

The results show that the WTP value of PM10 is the highest among all pollutants and 8.68E+07 dollars/a, while the WTP value in the disposal stage accounts for the largest proportion compared to the generation and transportation stage. These findings emphasize the importance of PM10 and C&DW treatment stage for pollutant treatment.

The results of this study are of great significance for the management department to optimize the construction management scheme to reduce the total amount of pollutants produced by C&DW and its harm to human health. Meanwhile, this study fills the gap in existing research on the impact assessment of C&DW on human health throughout the whole life cycle, and provides reference and basis for future research and policy formulation.

Digital technologies open up unprecedented opportunities for the Chinese wind power industry to make rapid and comprehensive decisions. However, the relationship between digital technology adoption and radical and incremental innovations has not been empirically assessed. In addition, reconfiguration capability is the ability of firms to transform and respond to changes. How such an organizational capability influences the effectiveness of digital technology adoption is a black box. In response, this study aims to assess the relationship between digital technology adoption and radical and incremental innovations in the Chinese wind power industry and elucidate the moderating role of reconfiguration capability.

Based on the data of listed companies in the Chinese wind power industry from 2006 to 2020, this study constructs regression models and validates the hypotheses.

The correlation between digital technology adoption and incremental innovation in the wind power industry in China is significantly positive, but the relationship between digital technology adoption and radical innovation is not significant. In addition, reconfiguration capability significantly enhances the incentive effect of digital technology adoption on incremental innovation.

To the best of the authors’ knowledge, this study is one of the earliest to explore the heterogeneous relationships between digital technology adoption and radical and incremental innovations in emerging economies, advancing the theoretical insights into how digital transformation can foster different categories of technological innovations. Moreover, this study embeds dynamic capability theory into digital transformation research by exploring the boundary conditions for the effectiveness of digital technology adoption from the perspective of organizational dynamic capability, thereby expanding the boundaries of existing knowledge.