bluuebunny/crossref_metadata_2025_split huggingface dataset:
Do Islamic epistemology and ethics advance the understanding and promotion of sustainable development? A systematic review using PRISMA
Authors: Raimi Lukman 
Published: December 2024

Purpose
This study addresses the question of whether Islamic epistemology and ethics advance the understanding and promotion of sustainable development (SD) in the field of Islamic management, economics and finance (IMEF). This study also aims to understand how contemporary ethical theories explain and harmonise Islamic ethics in the context of SD.

Design/methodology/approach
This study adopts the PRISMA protocol and conducts a systematic literature review of 62 articles published from 2015 to 2023 to provide answers to four research questions. The selected publications were taken from the Web of Science, Scopus and Google Scholar databases, using the purposive sampling technique, and taking into account the selection criteria of quality, relevance and timeliness of the publications.

Findings
Four key findings emerged from the review. Firstly, Islamic epistemology and ethics, drawn from the Qur’an and Hadith, guide practices toward SD. Secondly, Islamic epistemology and ethics promote SD through various initiatives, including ethical behaviour, environmental stewardship, social responsibility, Islamic banking and financing ethics and Islamic social financing principles among others. Third, contemporary ethical theories such as virtue ethics, intentionalism, consequentialism and deontological ethics enrich the application of Islamic ethical foundations in the context of SD. Finally, the theoretical connection between Islamic epistemology, ethics and SD lies in their alignment toward promoting ethical behaviour, social responsibility and holistic ecosystem well-being.

Practical implications
The insights provided by this review offer practical implications for researchers, policymakers and practitioners in IMEF. The insights also underscore the importance of integrating Islamic ethical principles into SD initiatives and policy frameworks.

Originality/value
This novel study offers unique perspectives by integrating contemporary ethical theories with Islamic ethics and epistemology to justify SD in ways that are both theoretically and practically significant. In addition, six novel propositions are suggested for future research in IMEF.
Irish-based farmers’ experience of facilitating social farming
Authors: Gorman Eoin , Kingston Sally , Giles Nicola 
Published: December 2024

Purpose
Social farming is the use of commercial farms and agricultural landscapes to promote mental and physical health for service users through ordinary farming activities. While previous research has focused on the service user, the farmer’s perspective and well-being has not been extensively considered in the research. The purpose of this study was to explore Irish-based farmer's experiences of social farming.

Design/methodology/approach
A qualitative-descriptive approach was used to explore the form, function and meaning of facilitating social farming. Purposive sampling was used for recruitment. Data was collected through semi-structured interviews with ten social farmers.

Findings
Four themes emerged from the interviews: characteristics of the farm and farmer, connection, mutually beneficial farming and challenges of social farming.

Originality/value
This study sheds light on the experience of occupational rejuvenation that occurs for the farmer and their family through engagement in social farming, seen through their renewed passion for farming and the focus on mundane occupations. This highlights how the occupation of facilitating social farming can increase the well-being of those involved in the occupation.
Remanufactured products from university students’ perspective: a reflexive thematic analysis approach
Authors: Güngördü Belbağ Aybegüm , Belbağ Sedat 
Published: December 2024

Purpose
Consumer skepticism hinders the growth of remanufactured products (RPs). Previous studies have explored factors influencing the intention to purchase RPs, overlooking consumer resistance. This study aims to address this gap by integrating barriers, personal factors and outcome expectations – drawing on innovation resistance and social cognitive theories – from the perspective of higher education.

Design/methodology/approach
This study conducted semi-structured, in-depth interviews with 34 undergraduates at higher education institutions in Türkiye, and analyzed the data with reflexive thematic analysis.

Findings
Findings reveal that barriers (value, risk and image), personal factors (product knowledge and self-efficacy) and outcome expectations (green benefits, like-new quality and financial benefits) affect intention to purchase RPs.

Originality/value
Although higher education boosts sustainability awareness, research on university students’ barriers and intentions to purchase RPs is scarce. Prior research has only addressed risk and value barriers, product knowledge and perceived green benefits. None examined image barriers, self-efficacy, financial benefits and like-new quality. This study fills this gap by addressing higher education’s role in overcoming adoption barriers and enhancing outcome expectations. It also explores personal factors like self-efficacy, an underexplored area, that can be enhanced through social persuasion and mastery experiences.
Unveiling the moderated mediation of psychological entitlement and psychological distress in customer incivility and frontline employee work-family conflict relationship
Authors: Khanam Afreen , Sadaf Sana , Tarab Sheema , Zamir Nasir 
Published: December 2024

PurposeThis study intends to examine the influence of customer incivility (CI) on work-family conflict (WFC), with a specific focus on the mediating function of psychological distress (PD) and the moderating role of psychological entitlement (PE). Additionally, the study explores whether PE moderates the indirect influence of CI on WFC through psychological distress.Design/methodology/approachWe gathered data from 326 employees employed in the Indian service sector and analyzed them using partial least squares structural equation modeling (PLS-SEM) with SmartPLS v4.FindingsThe findings demonstrate that customer incivility increases employee WFC. Additionally, PD served as a partial mediator in CI and WFC relationships. Moreover, the study uncovered that psychological entitlement (PE) moderates the association between CI and PD. Importantly, the indirect influence of customer incivility on WFC via psychological distress was high at higher PE.Practical implicationsThis study offers practical insights for mitigating customer incivility and work-family conflict. Organizations can implement employee assistance programs (EAPs) to offer confidential counseling services to the victim of CI. Additionally, managers should promote a performance-driven culture where incentives and recognition are based on genuine accomplishments to manage psychologically entitled employees.Originality/valueOur research is the first to propose and validate the predictive influence of CI on WFC through psychological distress. Furthermore, by exploring the moderating effect of PE in comprehending the connection between customer incivility, PD and work-family conflict, our study contributes novelty to the existing literature.
Neuroethical implications of AI-driven productivity tools on intellectual capital: a theoretical and econometric analysis
Authors: Bîzoi Alexandra Codruța , Bîzoi Cristian Gabriel 
Published: December 2024

PurposeThis study explores the dual impact of AI-driven productivity tools on employee performance, well-being and sustainability, focusing on the key metrics of productivity, innovation, stress, job satisfaction and sustainability.Design/methodology/approachThe study uses econometric models and simulated data and applies difference-in-differences and regression analysis to assess the effects of AI tools on 1,000 simulated employees.FindingsAI tools enhance productivity but offer limited support for innovation. They increase stress and reduce job satisfaction while improving governance outcomes and transparency.Research limitations/implicationsUsing simulated data may limit real-world applicability. Future studies should validate findings with empirical data regarding long-term sustainability impacts.Practical implicationsA balanced AI strategy combining training and well-being support is vital to mitigate stress and sustain employee satisfaction during AI integration.Social implicationsMonitoring employee well-being and sustainability metrics is fundamental to ensure responsible AI adoption.Originality/valueThis research provides new insights into balancing AI’s productivity benefits with its psychological and ethical implications, offering guidelines for responsible implementation.
Age diversity and team performance – the moderating roles of team LMX quality and differentiation
Authors: Hahn Michael , Semrau Thorsten 
Published: December 2024

PurposeThis study aims to extend our knowledge of how leadership shapes the consequences of team age diversity. Specifically, we adopt a relational perspective on leadership to examine how two distinct aspects of LMX composition among team leaders and their team members—i.e. team LMX quality and team LMX differentiation—affect the link between age diversity and team performance.Design/methodology/approachHypotheses are tested via ordinary least squares regression and data for 64 work teams at a major hospital, which were provided by 526 team members and their respective team leaders.FindingsResults reveal that team LMX quality and LMX differentiation both qualify the performance implications of team age diversity. While team LMX quality has a positive moderating effect, the moderating influence of team LMX differentiation is negative.Practical implicationsTo reap the performance potential of age diversity, leaders need to serve as role models by investing in high-quality relationships with all their team members. When leading age-homogenous teams, leaders may consider differentiating their LMX relationships.Originality/valueThe present study contributes to a better understanding of the interplay between leadership and age diversity and helps to extend our knowledge of LMX as a team-level phenomenon.
Suffering, struggles and support: a qualitative exploration of hope and healing in men seeking asylum using photographs and I-poems
Authors: Clark Emily , Hanson Sarah , Steel Nicholas , Parretti Helen M. , Sweeting Anna 
Published: December 2024

Purpose
The literature highlights that health care in the UK is not always well adapted to meet the needs of individuals from different cultural backgrounds and within the context of the asylum system. This study aims to explore culturally adapted health support in the context of wider social and community support, to enable post-migration growth and ameliorate the impact of migratory grief.

Design/methodology/approach
A community based participatory approach was used. The research team, and community organisation supporting this group, collaborated as equals to foster trust and reciprocity in research. Two focus groups were run in Arabic with a professional interpreter with 14 male participants from six different countries, all with lived experience of the asylum process.

Findings
The findings are reported under three major themes: pre-migration experiences (home, journeys and disaster), post-migration stress (suffering and meaning) and post-migration growth (hope, kinship and healing).

Research limitations/implications
The findings suggest that group interventions and peer support are beneficial and acceptable across diverse backgrounds and immigration statuses, though further research is needed to assess the effectiveness of different group based well-being interventions across cultures.

Practical implications
Our study confirmed the priority of social determinants of health such as housing, food insecurity and social inclusion, which therefore require joined up approaches in policy between health, voluntary and local government sectors. At a policy level, further emphasis should be placed on creating structures to support these elements to prevent longer term impacts of migratory grief on emerging mental health conditions and enable coping with stress.

Social implications
This study confirmed the key role of meaningful activities (such as physical activity, volunteering and cooking), daily routine, culturally acceptable food, access to places of worship, purpose and activities which offer distraction and fulfilment in shaping grief reactions following loss.

Originality/value
This study confirms that migratory grief is a distinct process that requires careful detection by culturally adapted conversations and language. It suggests how to adapt well-being interventions to support post-traumatic growth and the unique potential for group based interventions outside of Home Office accommodation to reduce psychopathology due to migratory grief.
Unification of fintech platforms: reshaping the Bangladeshi financial frontier
Authors: Rahman Nahinur , Ghosh Ratan , Mahmud Md Tapan 
Published: December 2024

Purpose
This paper aims to explore the integration of technology platforms of Fintech service providers in Bangladesh and its outcome on the users’ acceptance and intention to use it. It has considered Bangla QR, a Bangladesh-specific unified payment platform, for the said purpose.

Design/methodology/approach
The study investigates the usage and acceptance of Bangla QR’s financial service application by collecting data on user demographics and usage patterns. The data have been collected from Bangla QR users who have firsthand experience using a unified payment system in Bangladesh. Structural equation modeling (SEM) has been used to analyze the data and investigate the relationships between latent constructs, such as Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), Facilitating Conditions (FC), Hedonic Motivation (HM) and Behavioral Intention (BI).

Findings
Results reveal that the experience of users from earlier platforms and their expectation of improved technologies have a positive and significant relationship with the behavior intention of users regarding the acceptance of a fresh fintech platform. Specifically, PE, EE and FC have a significant effect on HM. Moreover, HM mediates the relationship between PE and BI, EE and BI and FC and BI. Startlingly, SI does not affect HM and BI.

Research limitations/implications
The study posits that users of Bangla QR are embracing the unified payment scheme willingly. Experience with new technology in the financial aspects has given them the confidence to continue this in the future. However, social awareness about the intrinsic worth of unified payment should be raised by financial institutions and regulators in Bangladesh. The lack of Bangla QR’s accessibility limits the number of respondents, and its newness hinders the researchers from focusing on price value and habit constituting BI.

Originality/value
First, this is the first paper to explore the fintech users’ intention to continue a unified payment platform in Bangladesh. Second, it uses the UTAUT2 model with modifications as per the requirement of the study. Finally, this study theorizes specific reasons to develop the overall scenario of a unified payment system in the future in Bangladesh.
Influencing factors and consequences of chatbot initial trust in AI telecommunication services: a study on Generation Z
Authors: Sboui Mariem , Baati Ons , Sfar Nadia 
Published: December 2024

PurposeChatbots emerge as a prominent trend within the context of evolving communication settings and enhancing customer experience to improve firms' total quality management strategies. Specifically, users’ initial trust in such chatbots is critical for their adoption. Under the realm of technology acceptance theories, the present research aims to investigate drivers (perceived ease of use, performance expectancy, compatibility, social influence and technology anxiety) and impacts (customer experience and chatbot usage intention) of chatbot initial trust, among Generation Z considered as the more tech-savvy generation, in the particular telecommunication services context.Design/methodology/approachResearch data were collected using an online questionnaire-based survey to test research hypotheses. A sample of 385 students was selected in Tunisia using a convenience sampling technique. Data were then analyzed through structural equation modeling by AMOS 23.FindingsThe results highlighted that, except for perceived ease of use and performance expectancy, all determinants have a significant influence on chatbot initial trust (positive impact of social influence and compatibility and negative impact of technology anxiety). Furthermore, chatbot initial trust positively stimulates customer experience with chatbots and chatbot intention of use.Practical implicationsOur results provide particular insights to chatbot developers seeking to enhance trust-building features in these systems and telecommunication operators to better understand user adoption and improve chatbot-based customer interactions among Generation Z in emergent markets.Originality/valueThis paper attempts to consolidate and enrich the existing body of chatbot initial trust literature by emphasizing the role of customer experience with chatbots and technology anxiety, as two pivotal consumer-related factors that have not yet been treated together in one research.
Comparative analysis of eikonal‐based first‐arrival tomography: A case study from the Santos Basin, Brazil
Authors: Alves Paulo H. B. , Cetale Marco , da Silva Sergio L. E. F. , Santos Luiz Alberto 
Published: December 2024

ABSTRACTWe compare classical and adjoint‐state first‐arrival tomography approaches in subsurface model reconstruction, focusing on pre‐salt updates with a circular‐shot ocean bottom node geometry. The investigation demonstrates that, whereas conventional tomography has faster convergence and better alignment with observed data, it produces significant noise artefacts and fails to adequately represent the reservoir section. In contrast, adjoint‐state tomography provides superior model reconstruction by taking into account the complete travel time volume, significantly lowering noise and boosting reservoir imaging despite its higher computational cost. A quantitative investigation of root mean squared errors for ultra‐long offsets confirms the efficacy of adjoint‐state tomography in minimizing data misfit and improving model fidelity. The findings emphasize the potential of adjoint‐state tomography in enhancing subsurface imaging and underscore the limits of conventional tomography in handling complex subsurface details with sparse acquisition geometry.
Preoperative surgical planning MRI for fibroids: What the surgeon needs to know and what to report
Authors: Acton Jade 
Published: December 2024

SummaryUterine leiomyomata, commonly known as fibroids, are prevalent benign tumours affecting a significant percentage of women of reproductive age. Although many patients remain asymptomatic, a substantial proportion experience severe symptoms, including abnormal uterine bleeding and adverse reproductive outcomes. Surgical intervention often becomes necessary for patients with symptomatic fibroids, despite advancements in medical therapies. This article explores the critical role of Magnetic Resonance Imaging (MRI) in the preoperative planning and management of fibroid surgeries. MRI has been proven superior to traditional imaging methods, such as transvaginal ultrasound (TVS), offering a more accurate evaluation of fibroid size, location, number, and characteristics. This enhanced imaging aids in surgical planning by providing detailed anatomical insights, helping gynaecologists choose the appropriate surgical techniques and predict potential complications. Moreover, MRI is instrumental in assessing the risk of malignancy, guiding decisions on whether to proceed with myomectomy or hysterectomy. Technological advancements, such as 3D MRI modelling and augmented reality, promise further improvements in surgical outcomes by enhancing anatomical understanding and precision. These innovations, along with artificial intelligence integration, show potential in reducing operation times and improving patient outcomes. This review underscores the essential role of MRI in contemporary fibroid management and highlights future directions in the field.
Pathology and risk stratification‐based evaluation of ovarian masses on MRI
Authors: Arora Ayesha , Shadbolt Clair , Lam Kim , Bahure Sarita , Kitzing Yu Xuan 
Published: December 2024

SummaryCharacterisation of an indeterminate ovarian mass is important as it guides management and clinical outcomes. Ultrasound is the first‐line modality in the assessment of ovarian tumours. When ovarian masses are indeterminate on ultrasound, MRI provides excellent resolution in tissue characterisation and enhancement patterns. Ovarian masses can be categorised based on risk‐scoring systems such as the American College of Radiology (ACR) MRI Ovarian‐Adnexal Reporting and Data System (O‐RADS). The imaging features of non‐neoplastic, benign, borderline and malignant neoplastic ovarian lesions are discussed in this review with a focus on the pathology process accounting for the MRI appearance. Characteristic findings and clues in differentiating a benign lesion from a malignancy are presented in this review.
Validation of Risk Prediction Models for Pneumothorax and Intercostal Catheter Insertion Following CT‐Guided Lung Biopsy
Authors: McOwan Mark , Kinnersly Jack , Walia Nirbaanjot , Dooley Patrick , Robson Scott 
Published: December 2024

ABSTRACTBackgroundCT‐guided percutaneous transthoracic needle biopsy is the primary method for diagnosing lung lesions. Widely accepted validated risk prediction models are yet to be developed. A recently published study conducted at Grampians Health Services (GHS) developed two risk prediction models for predicting pneumothorax and intercostal catheter (ICC) insertion. This study aims to validate these models.MethodsThis is a single‐centre, retrospective cohort study performed at GHS. Patients with a CT‐guided lung biopsy between January 2020 and July 2023 were included, alongside target‐lesion characteristics, procedural‐related factors and complications. Predicted probabilities for pneumothorax and ICC insertion were generated for each patient, and the diagnostic accuracy of the previous risk prediction models was evaluated the area under the receiver operating characteristic. A Youden Index was used to determine the sensitivity and specificity at the optimal probability thresholds.ResultsThe validation found the model published by GHS demonstrated a diagnostic accuracy of 0.695 (95% CI: 0.601–0.695) for predicting pneumothorax following CT‐guided percutaneous biopsy. The model for predicting intercostal catheter insertion had a diagnostic accuracy of 0.762 (95% CI: 0.642–0.762). The sensitivity for predicting pneumothorax and ICC insertion was 81.97% and 92.86%, respectively, for their optimum probability thresholds.ConclusionThe findings suggest that the previously published models may be useful in predicting pneumothoraces and ICC insertion following CT‐guided percutaneous biopsy. We recommend these models as an adjunctive tool to aid in clinical decision‐making during the peri‐procedural management of these patients pending further validation with an external cohort.