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In Belgium, mentally ill offenders often spend extended periods in forensic psychiatric hospitals, where restrictive living conditions can affect their quality of life (QoL). QoL is a key factor in these settings, influencing both short- and long-term recidivism risks. Despite its significance, research on QoL in Belgian forensic psychiatry is scarce. Internationally, studies highlight that the sexuality domain tends to score lower than other QoL areas. This study aims to explore QoL in forensic psychiatry with a particular focus on the sexuality domain.

This cross-sectional, observational study involved 275 male forensic psychiatric patients, all found not guilty by reason of insanity and under court-ordered psychiatric treatment. Patients resided in either treatment units or long-term forensic care units. Data were analyzed using R Studio.

Patients in medium-security units in Flanders reported the lowest satisfaction in the sexuality domain compared to other QoL areas. Additionally, overall QoL declined with longer stays in forensic psychiatric care.

The study underscores the need for clear policies regarding sexuality in forensic psychiatric settings. Integrating sexuality and sexual health assessments into routine evaluations is recommended. Future research should explore long-term QoL changes while investigating the impact of sexuality policies and considering gender and cultural differences. Collaboration between forensic institutions is key to improving data collection, while staff training on addressing sexuality is essential. Including patients in policy development and promoting their sexual health rights will help create a more inclusive environment.

To the best of the authors’ knowledge, this is the first study to pool data from three forensic medium-security units in Flanders, providing new insights into QoL in Belgian forensic psychiatry.

This study aims to examine the relationship between sustainable activities and financial performance under the moderation of the Shariah supervisory board (SSB) of Islamic banks (IBs).

The sample consists of IBs in Asia from 2015 to 2018. Sustainable activities were collected from sustainability and annual reports, while additional data were sourced from Orbis, Thomson Reuters, and Euromonitor. Weighted content analysis measures sustainable activities, and general least square regression was used to test the hypothesis.

Sustainable activities are positively correlated to IBs’ financial performance in the current and following year. However, the SSB cannot strengthen this relationship.

IBs should integrate sustainable financing or green banking into their strategies and operations, as shareholders are increasingly drawn to investing in banks that demonstrate strong social and environmental responsibility.

First, policymakers can improve guidelines related to sustainability in IBs in line with Islamic concepts and perspectives. Second, regulation can optimize the role of SSB in terms of sustainability based on maqasid shariah.

This study examines sustainable activities per the concept of maqasid shariah. Financial performance testing is carried out not only in the current period but also in one subsequent year. Limited research exists in this area, especially with a large sample in the Asian region.

Securing ethical approval can be a frustrating and opaque experience for some creative practice research students who may find the processes required of them not well suited to their specific inquiry. This can lead to an erosion of trust between students and their institutions. This paper aims to synthesize perspectives representing both creative practice research supervisors and Institutional Review Boards (IRBs) to develop recommendations for improving processes and supporting creative practice research training.

The authors used dialogical inquiry (Wells et al., 2021) to facilitate a dialogue between the authors, who represent different stakeholders in the ethical review process for creative arts research students. Focus topics for the dialogue were developed collaboratively based on existing literature.

Based on the dialogue, the authors make the following recommendations: frame ethics as part of project design alongside aims and methodology rather than as project logistics; structure ethics review processes to ensure ongoing engagement between research students and IRBs; and share exemplars and templates as part of research training. Additionally, the authors advocate for the need to create continuing opportunities for dialogue.

Previous work interrogating ethical review processes for creative practice research has adopted a clear position from either a creative practice researcher or an IRB member perspective. This dialogue facilitates a novel synthesis of these positions, ensuring the recommendations support the objectives of both IRBs and creative practice researchers.

Firms seek to improve their decision-making and enable more “fact-based” decisions by using business analytics. While the benefits of using business analytics to monitor, develop and improve daily operations have been reported by many scholars, using it in more complex top management decisions has received less attention. Building on the resource-based view of the firm, this study aims to investigate top management perceptions of using business analytics for making decisions on firm resources.

This study uses semi-structured interviews to collect perceptions of 12 top managers in large firms on when and why they use business analytics in their decision-making.

Top managers use business analytics output as their main source of information for monitoring ongoing business performance against set targets and taking corrective actions. Concerning future-oriented planning and strategic decision-making involving more complex changes on the firms’ resource base, top managers proactively complement knowledge derived via business analytics with other sources of knowledge, such as stakeholder and expert opinions. Moreover, top managers use of business analytics depends on their own expectations of its value potential and on the expectations of their organization.

This study adds to the extant literature on the business value of business analytics by outlining the purposes and reasons for top management business analytics use. By demonstrating when and why top managers apply business analytics when making decisions on the firm’s current and future resource base, this study contributes to the discussion on the resource-based view and decision-making practices of the firm.

Blockchain, a groundbreaking technology that recently surfaced, is under thorough scrutiny due to its prospective utility across different sectors. This research aims to delve into and assess the cognitive elements that impact the integration of blockchain technology (BT) within library environments.

Utilizing the Stimulus–Organism–Response (SOR) theory, this research aims to facilitate the implementation of BT within academic institution libraries and provide valuable insights for managerial decision-making. A two-staged deep learning structural equation modelling artificial neural network (ANN) analysis was conducted on 583 computer experts affiliated with academic institutions across various countries to gather relevant information.

The research model can correspondingly expound 71% and 60% of the variance in trust and adoption intention of BT in libraries, where ANN results indicate that perceived possession is the primary predictor, with a technical capability factor that has a normalized significance of 84%. The study successfully identified the relationship of each variable of our conceptual model.

Unlike the SOR theory framework that uses a linear model and theoretically assumes that all relationships are significant, to the best of the authors’ knowledge, it is the first study to validate ANN and SEM in a library context successfully. The results of the two-step PLS–SEM and ANN technique demonstrate that the usage of ANN validates the PLS–SEM analysis. ANN can represent complicated linear and nonlinear connections with higher prediction accuracy than SEM approaches. Also, an importance-performance Map analysis of the PLS–SEM data offers a more detailed insight into each factor's significance and performance.

This study aims to assess the impact of personality traits, risk perception and perceived coronavirus disease 2019 (COVID-19) disruption on the investment behavior of individual investors in the Indian stock market.

This study adopts a survey approach. The sample comprises 315 active retail investors investing in the Indian stock exchange. Two-stage analysis technique regression and Artificial Neural Network (ANN) were used for data analysis. Study hypotheses were tested through regression and ANN was adopted to validate the regression results.

Two regression models were modeled to test the research hypotheses. Findings showed that risk perception and COVID-19 disruption have a significant positive and neuroticism has a significant negative impact on short-term investment decisions, while the role of conscientiousness in determining short-term investment decisions was not found significant. Results also showed a positive impact of neuroticism and conscientiousness and a negative impact of risk perception on long-term investment decisions. The role of COVID-19 disruption was found negative but insignificant in predicting long-term investment decisions.

This study has practical implications for many parties like retail investors, financial advisors and policymakers. This study will assist the investors to realize that they do not always take rational financial decisions. This study will suggest the financial advisors to use the knowledge of behavioral finance in making the advisors' advisory and wealth management decisions. This study will also assist the policymakers to outline behaviorally well-informed policy decisions to protect the interests of investors.

India is one of the fast-growing economies in the world. India has a vast population of active investors and determining investors' investment behavior adds novelty to this study as developed economies have remained the main focus of previous studies. The other novel feature of this study is that this study tries to assess the impact of COVID-19 disruption along with personality traits and risk perception on investment behavior. The other valuable factor of this study is the use of ANN to predict the relative importance of the exogenous variables.

This paper aims to present an overview of permanent magnet linear flux-switching machines (PMLFSM), field excited LFSM and hybrid excited LFSM (HELFSM) topologies as presented in literature for transportation systems such as high-speed trains and maglev systems.

The structural designs of different configurations are thoroughly investigated, and their respective advantages and disadvantages are examined. Based on the geometry and excitation sources, a detailed survey is carried out. Specific design and space issues, such as solid and modular structures, structure strength, excitation sources placement, utilization of PM materials, and flux leakage are investigated.

PMLFSM provide higher power density and efficiency than induction and DC machines because of the superior excitation capability of PMs. The cost of rare-earth PMs has risen sharply in the past few decades because of their frequent use, so the manufacturing cost of PMLFSM is increasing. Owing to the influence of high-energy PMs and magnetic flux concentration, the efficiency and power density are higher in such machines. PM is the only excitation source in PMLFSM and has constant remanence, limiting its applications in a wide speed operation range. Therefore, the field winding is added in the PMLFSM to flexibly regulate the magnetic field, making it a hybrid excited one. The HELFSM possess better flux linkage, high thrust force density and better flux controlling ability, leading to a wide speed range. However, the HELFSM have problems with the crowded mover, as PM, field excited and armature excitation are housed on a short mover. So, for better performance, the area of each excitation component has to compete with each other.

Transportation of goods and people by vehicles is becoming increasingly prevalent. As railways play a significant role in the transportation system and are an integral part of intercity transportation. So, this paper presents an overview of various linear machines that are presented in literature for rail transit systems to promote sustainable urban planning practices.

This study investigates the influence of social media marketing (SMM) functionalities on perceived destination image (DI) and its dimensions, which in turn impact residents’ support for sustainable tourism development (SSTD). The study also examines the moderated mediation effect of the residency length and resident’s income in the indirect relationship between SMM and SSTD through the DI.

The best technique found appropriate for this study was the survey approach. To gather empirical data, people who currently reside in Alexandria completed 351 questionnaires via an online survey. The questionnaire was translated into Arabic while adhering to back-translation guidelines. SPSS and AMOS software were used to analyze the collected data.

It is found that there is a direct effect of SMM and its functionalities on overall DI and its dimensions. In addition, DI mediates the relationship between SMM and SSTD. These results hold valuable insights for academicians and practitioners in the tourism industry, potentially informing SMM strategies to support tourism activities.

This research introduces a novel framework emphasizing the functionalities of the SMM as a tool for enhancing both affective and cognitive DI and supporting sustainable tourism development. It contributes to the SMM and SSTD literature by examining the links between SMM functionalities and sustainable tourism development in emerging countries such as Egypt.

This study aims to test a moderated mediation model of the relationship between neurodiversity and team performance, mediated by social cognitive integration and positively moderated by horizontal cognitive differentiation.

The authors used neurodiversity survey data from 40 intact organizational teams, including data from all team members and their leaders, and tested the moderated mediation model using bootstrapping. Neurodivergent conditions, horizontal cognitive differentiation (i.e. the distribution of knowledge and expertise among team members, expanding the range of available cognitive resources) and social cognitive integration (i.e. a collaborative process of knowledge sharing, evaluation and elaboration) were evaluated by team members, and team performance was evaluated by the leaders.

The results show that neurodiversity fosters social cognitive integration in teams only when horizontal cognitive differentiation is high. Moreover, social cognitive integration mediates the association between neurodiversity and team performance, whereas the remaining main effect of neurodiversity on team performance is positive and significant.

This study contributes to the limited body of knowledge that examines neurodiversity in organizational settings and presents one of the first empirical tests of the relation between neurodiversity and team outcomes, building on the combination of cognitive differentiation and integration.

The nexus of commodity prices with inflation is one of the main concerns for a nation's economy like India. The literature does not have enough volatility-based study, especially using the multivariate GRACH family of models to find a link between these two. It is the main reason for the conduct of this study. This paper aims to estimate the volatility effects of commodity prices on inflation.

For ten years (2011–2022), future prices of selected seven agriculture commodities and inflation indices (wholesale price index [WPI] and consumer price index [CPI]) are gathered every month. BEKK GARCH model (BGM) and DCC GARCH model (DGM) are employed to determine the volatility effect of commodity prices (CPs) on inflation.

The authors find that volatility's short-term (shock) impact on agricultural CPs to inflation does not exist. However, the long-term volatility spillover effect (VSE) is significant from commodities to inflation.

The study's findings have a significant implication for the policymakers to take a long-term view on inflation management regarding commodity prices. The findings can facilitate policy on the choice of commodities and the flexibility of their trading on the commodities derivatives market.

The findings of the study are unique. The authors do not observe any study on the volatility effect of agri-commodities (agricultural commodities) prices on inflation in India. This paper applies advanced techniques to provide novel and reliable evidence. Hence, this research is believed to contribute significantly to the knowledge body through its novel evidence and advanced approach.