bluuebunny/crossref_metadata_2025 huggingface dataset:
Predicting the link between employees' task performance and propensity to take charge: the role of family supportive supervision and LMX
Authors: Ahmed Ishfaq , Islam Talat , Afzal Rabia , Iqbal Imlak , Faheem Muhammad Asim
Published: October 2024

Purpose

The authors examined how employee led exchange benefits the organizations. Specifically, the authors aim at investigating the mediating role of family supportive supervision between employee performance and taking charge behavior. The authors further examined leader-member exchange (LMX) as a boundary condition between employee performance and family supportive supervision.

Design/methodology/approach

The authors collected data from 295 employees and their supervisors working in various public sector organizations of Pakistan on a convenience basis. Specifically, data on family supportive supervision and LMX was collected from employees; whereas, data on employee performance and taking charge was collected from their supervisors between June–September 2021.

Findings

The statistical analysis reveals that high-performing employees are reciprocated by the high family-supportive supervision which increases their work-life balance and they further reciprocate by showing a propensity to take charge. In addition, LMX is noted to strengthen the association between employees' performance and family supportive supervision.

Practical implications

This study explains how managers can extend the stream of employees' performance by highlighting the role of family-supportive supervision and LMX. The managers through high LMX and provision of family-supportive supervision can boost the employees' outcomes from job performance to extra-role performance (i.e. taking charge).

Originality/value

This study adds value to the existing body of knowledge by considering performance as a predictor of various organizational-level consequences. Recent studies have considered the negative consequences of employees' performance, while the positive aspect has been called for an investigation.
Exploring the foundations of Islamic moral economy: a return to substantive morality
Authors: Yilmaz Isa
Published: October 2024

Purpose

This paper aims to explore the general flaws in the theorization of Islamic economics, particularly its failure to incorporate substantive morality into its framework. Since a considerable number of Islamic economic studies remain within the bounds of instrumental morality, this paper seeks to propose an alternative understanding of Islamic economics by emphasizing the essential role of Islamic moral economy (IME) through substantive morality.

Design/methodology/approach

The study critically examines the theorization of Islamic economics through a discursive methodology. The adopted method and strategy allow for the discursive evaluation of conceptual developments within the field of modern Islamic economics. It proposes an authentic definition of IME by outlining its paradigmatic framework of political economy, value system, axiomatic approach and operational principles.

Findings

Islamic economics has been theorized in a reactive and reflexive manner, aiming to provide an alternative to the neoclassical hegemonic discourse. However, it has largely neglected its inherent moral dimension, focusing instead on instrumental morality and failed to embed substantive morality into its system. By introducing an alternative reading of Islamic economics, this study presents IME as a distinct economic model that centers substantive morality in its theorization.

Originality/value

This paper contributes to the existing literature by offering a novel perspective on Islamic economics that challenges the prevalent instrumental approach and emphasizes the importance of substantive morality. It provides a comprehensive framework for understanding IME as a distinct economic model, thereby enriching the discourse on Islamic economics with an authentic and morally grounded paradigm.
Developing a severe gust load spectrum for transport aircraft based on measured load data
Authors: Wei Kunyu , Li Bowen , He Xiaofan
Published: October 2024

Purpose

Developing severe load spectrum of transport aircraft structures is crucial for enhancing the fatigue damage correlation between full-scale fatigue testing results and operational service. The lack of consensus on severe spectrum development methods for transport aircraft has prompted the current research, resulting in a proposed approach for a severe gust load spectrum based on the acceleration cumulative exceedance surface.

Design/methodology/approach

The measured load data were analyzed using a model based on the cumulative exceedance number surface to describe the variation in exceedance numbers. An improved sampling method based on multivariate Markov Chain Monte Carlo was employed to obtain the fleet fatigue damage distribution, enabling the determination of the severity of severe spectrum and the corresponding cumulative exceedance number surface, and a severe gust load spectrum was developed based on the surface.

Findings

The method that characterizes load spectrum variation using the cumulative exceedance surface minimizes the randomness of peak-trough pairs by incorporating the correlation of load spectrum peaks and troughs. This approach reduces the variation in fleet fatigue damage, thereby lowering the requirements for the severity of severe spectrum fatigue damage.

Originality/value

The proposed methodology extends from a one-dimensional curve to a two-dimensional surface, accounting for the correlation between peak and trough values to develop a severe spectrum. This approach more accurately describes the variation in acceleration cumulative exceedance numbers, directly benefiting fatigue damage calculation. This study provides valuable references for developing severe spectrum for transport aircraft.
Enhanced PINNs with augmented Lagrangian method and transfer learning for hydrodynamic lubrication analysis
Authors: Zhou Guangde , Zhan Menghao , Huang Dan , Lyu Xiaolong , Yan Kanghao
Published: October 2024

Purpose

By seamlessly integrating physical laws, physics-informed neural networks (PINNs) have flexibly solved a wide variety of partial differential equations (PDEs). However, encoding PDEs and constraints as soft penalties in the loss function can cause gradient imbalances, leading to training and accuracy issues. This study aims to introduce the augmented Lagrangian method (ALM) and transfer learning to address these challenges and enhance the effectiveness of PINNs for hydrodynamic lubrication analysis.

Design/methodology/approach

The loss function was reformatted by ALM, adaptively adjusting the loss weights during training. Transfer learning was used to accelerate the convergence of PINNs under similar conditions. Additionally, the iterative process for load balancing was reframed as an inverse problem by extending film thickness as a trainable variable.

Findings

ALM-PINNs significantly reduced the maximum absolute boundary error by almost 80%. Transfer learning accelerated PINNs for solving the Reynolds equation, reducing training epochs by an order of magnitude. The iterative process for load balancing was effectively eliminated by extending the thickness as a trainable parameter, achieving a maximum percentage error of 2.31%. These outcomes demonstrated strong agreement with FDM results, analytical solutions and experimental data.

Originality/value

This study proposes a PINN-based approach for hydrodynamic lubrication analysis that significantly improves boundary accuracy and the training process. Additionally, it effectively replaces the load balancing procedure. This methodology demonstrates considerable potential for broader applications across various boundary value problems and iterative processes.

Peer review

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-07-2024-0277/
A biparametric analysis on the steady performance of bidirectional pumping hydrodynamic-static hybrid dry gas seal
Authors: Wu Hongxing , Mao Wenyuan , Jiao Feng , Deng Qiangguo , Sun Xuejian , Xu Hengjie
Published: October 2024

Purpose

The purpose of this paper is to obtain the matching relationship between spiral groove, equalizing groove and operation parameters through the biparametric analysis for the bidirectional pumping hydrodynamic-static hybrid dry gas seal (BP-HHDGS).

Design/methodology/approach

The large eddy simulation (LES) model in Fluent is used to simulate the flow field of BP-HHDGS, and the biparameter variables method is chosen to analyze the effects of different parameters on the performance of BP-HHDGS.

Findings

BP-HHDGS has a greater opening force than hydrostatic dry gas seal (HDGS); the vortex is formed after lubricating gas is exhausted from the throttle. Increasing the depth of the equalizing groove and spiral groove has a synergistic enhancement effect on the opening force and leakage of BP-HHDGS. There is a matching relationship between spiral angle and rotational speed. The preferred parameter ranges in current conditions are found as follows: spiral angle αa = 15°–24°; groove-dam ratio λ = 0.4–0.7; equalizing groove depth hj > 35 µm; spiral groove depth hg = 5-10 µm.

Originality/value

The high starting capacity of HDGS is given to the hydrodynamic type seal, and thus the application promotion of HDGS in high-speed working condition is realized at the same time. This work also provides precise and quick theoretical guidance for the selection and design of hydrodynamic-static dry gas seal and further promotion.
Understanding SNS use reduction from the perspective of the cognitive-affective model
Authors: Nascimento Pedro , Oliveira Tiago , Neves Joana
Published: October 2024

Purpose

This investigation delves into the elements influencing social networking sites (SNS) use reduction behavior through the lens of the cognitive-affective (CA) model to understand the driving forces behind the decline in SNS use.

Design/methodology/approach

Following the CA model, this research introduces a theoretical framework that integrates the emotions of regret and guilt along with the principles of cognitive dissonance theory. The proposed theoretical framework was subjected to empirical validation, utilizing 453 responses gathered from Instagram users.

Findings

The results suggest that the emotions of regret and guilt have a favorable impact on users’ intention to decrease their SNS usage, with cognitive dissonance exerting an indirect positive influence through these emotions. Additionally, further examination unveils that fear moderates the connection between users’ SNS addiction and the CA components.

Research limitations/implications

Additional cognitive and affective responses may influence the intricate relation between SNS addiction and SNS use reduction intention.

Originality/value

This research contributes to the existing body of knowledge on the information system use lifecycle by examining shifts in user behavior, notably the transition from excessive use to the adoption of use reduction strategies. Furthermore, it sheds light on the intricate role of cognitive dissonance in elucidating the intention to reduce SNS use from the perspective of the CA model. Additionally, this study advances our current understanding of how the fear of negative consequences arising from excessive usage plays a role as a moderating factor in elucidating the underlying internal factors related to reducing SNS usage.
Enhancing healthcare operations: a systematic literature review on approaches for hospital facility layout planning
Authors: dos Santos Vinícius Carrijo , Siqueira Regiane Máximo , Godinho-Filho Moacir
Published: October 2024

Purpose

The appropriate physical layout of hospital services can help resolve management problems by streamlining the work of medical teams, improving the flow of patients between specific areas and the medical support environment. Nevertheless, the academic literature lacks structured research into how the physical layout of hospitals might be improved. Our study aims to fill this research gap, providing information for researchers and professionals who intend to guide the hospital facility layout planning (HFLP) from the steps and prescribed approaches found in the literature.

Design/methodology/approach

This study analyzes the current literature status and concerning approaches that support HFLP and identifies their strengths and weaknesses. The literature was classified using the following criteria: approaches for layout generation, approaches for layout evaluation and healthcare facility layout outcomes.

Findings

The hospital facility layout outcomes achieved for each phase served as a basis for identifying a list of strengths and weaknesses for the hospital layout facility generation and evaluation approaches. Readers can refer to this paper to identify the approach that best fits the desired goal and the HFLP step.

Practical implications

This is a contribution to current studies into HFLP, and it provides guidelines for selecting the approach to be utilized based on the desired outcome.

Originality/value

The paper describes how to conduct an HFLP and lists the strengths and weaknesses of each approach. The research may be used as a strategy for determining which tool is most suited based on the practitioner's target purpose.
ChatGPT adoption risks and cognitive achievement among tourism and hospitality college students: from faculty member perspective
Authors: El-Akhras Heba Atef , Abd El-Wahab Marwa Ali , Saghier Elham Gharib , Selem Kareem M.
Published: October 2024

Purpose

Despite ChatGPT usage advantages to complete assignments as quickly as possible with detailed information, its adoption risks are crucial factors that may significantly influence student outcomes, like creative skills and achievement levels. Hence, this paper examines the potential effects of ChatGPT adoption risks on students’ cognitive achievement, underpinned by perceived risk theory (PRT). Further, this paper examines the mediating role of creative thinking levels among hospitality college students.

Design/methodology/approach

This paper employed a quantitative approach to collect data. Using an online survey, simple random sampling was employed to ensure bias. Hence, 267 faculty members at tourism and hospitality colleges affiliated with Egyptian public universities responded, and their responses were tested using SmartPLS v.4.

Findings

Creative thinking partially mediated five potential risks of students’ ChatGPT adoption effects on their cognitive achievement. More specifically, psychological risks of ChatGPT adoption among students are considered one of the most likely to reduce their levels of creative thinking and their ability to achieve achievement.

Practical implications

This paper provides insights for policymakers aimed at enhancing higher education quality in tourism and hospitality colleges. Accordingly, this paper concludes by highlighting the importance of addressing ChatGPT adoption’s psychological risks, integrating strategies to promote creative thinking among students and fostering responsible artificial intelligence usage in higher education.

Originality/value

This paper underscores the critical role of faculty members in navigating and mitigating these risks, fostering a more conducive learning environment for responsible ChatGPT usage.
Modeling the occupancy rate and nights spent at tourism accommodations of Spain using autoregressive deep learning networks
Authors: Sürekçi Yamaçlı Dilek
Published: October 2024

Purpose

The purpose of this paper is to autoregressively model the net occupancy rate of beds and bedrooms in hotels and similar accommodations and the nights spent at these accommodations of Spain for the period of 1990–2023 using monthly data.

Design/methodology/approach

The monthly occupancy rate of hotels and the total number of hotel nights data of Spain for the 1990M01–2023M09 range is considered. An autoregressive deep learning network is developed for the modeling of both metrics. Moreover, the results of the proposed autoregressive deep learning method are compared to those of a classical artificial neural network.

Findings

The actual occupancy rate, total night data and the deep learning model results are compared showing the accuracy of the developed model. Moreover, the R2, mean absolute error, root mean square error and mean absolute percentage error of the models are calculated further demonstrating the high performance of the developed model. The R2 values higher than 0.9 are achieved for both occupancy rate and total number of hotel nights data.

Practical implications

The modeling results given in this paper demonstrate that the previous values of the net occupancy rate and the total number of nights can be used as inputs of a deep learning network model by which accurate forecasts can be made for the future values of the occupancy rate and the total number of hotel nights. This modeling approach possesses importance from the practical viewpoint considering that the accurate planning and forecast of the net occupancy rate and the total number of nights affect the tourism income.

Originality/value

This study differs from existing literature by attempting to model the occupancy rate and the total number of hotel nights data autoregressively using deep learning networks.
Tracking Smart Beta indices during different market phases: A “smarter” option for passive investors?
Authors: C. Vijaya , M. Thenmozhi
Published: October 2024

Purpose

This study aims to examine whether tracking Smart Beta (SB) indices during bullish, bearish and stagnant market phases is a better choice for passive investors compared to Cap-Weighted (CW) indices. As investors’ strategies differ with market movements, this study analyses how single-factor and multi-factor SB indices perform during different market phases, in relation to CW indices. It also attempts to determine which SB factors are more suitable for investors in these phases.

Design/methodology/approach

Using various return and risk indicators, this study analyses how SB indices perform vis-à-vis CW indices during bullish, bearish and stagnant phases. The authors also evaluate the upside and downside participation advantage of SB indices and assess their ability to capture upside returns and limit downside risk. The authors attempt to determine the cyclical or defensive nature of SB indices using Average Participation values.

Findings

This study found that SB indices outperform CW indices during the bearish and stagnant phases. Multi-factor SB indices have lower risk levels in all market phases, providing downside protection to risk-averse investors. Dividend, Low Volatility, Quality and multi-factor SB indices are defensive portfolios offering better payoffs during the down market phases, while Alpha, Beta, Equal Weight and Value SB indices provide higher payoffs during the up-market phases.

Originality/value

To the best of the authors’ knowledge, this is the first study that examines the performance of single-factor and multi-factor Indian SB indices in different market phases. It determines the suitability of various factors to passive investors during these phases and also identifies whether SB indices are cyclical or defensive.
Interdependence of halal entrepreneurship and Islamic finance for creating a strong halal ecosystem
Authors: Raimi Lukman , Abdur-Rauf Ibrahim Adeniyi , Olaide Raimi Basirat
Published: October 2024

Purpose

Ethical entrepreneurship and financing models based on Islamic principles are insufficiently researched and discussed in the emerging plural economic landscape. So far, Islamic theorists have made commendable efforts in this direction. To fill the knowledge gaps, this study aims to explore more rigorously the interdependence of halal entrepreneurship and Islamic finance in creating a strong halal ecosystem.

Design/methodology/approach

Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology, a systematic literature review (SLR) of 33 articles from 2001 to 2024 was conducted to answer three research questions. Publications were obtained using purposive sampling from the Scopus database. They were selected based on the ranking of high-quality journals, global coverage relevance to research and base years of publications.

Findings

Three key findings emerged from the SLR using the PRISMA protocol. First, halal entrepreneurship and Islamic finance complement each other by providing Shari’ah-compliant financial instruments, fostering ethical practices, enhancing market reach and ensuring business operations adhere to Islamic principles, thereby creating a cohesive halal ecosystem. Second, the strategic integration of halal entrepreneurship and Islamic finance – through innovation, sustainability practices, Shari’ah-compliant products, effective marketing and regulatory support – promotes economic growth, social welfare and sustainable development within the halal ecosystem. Third, Maqasid-ul Shari’ah principles guide halal entrepreneurship and Islamic finance by ensuring ethical standards, promoting social justice, emphasizing sustainability and ensuring that business and financial practices benefit society and adhere to Islamic ethical standards. These findings aid in developing a theoretically grounded conceptual framework for future empirical investigation.

Practical implications

Practically, policymakers, Islamic financial institutions and halal entrepreneurs can leverage this integrated approach to drive economic growth, social welfare and sustainable development, aligning operations with Maqasid-ul Shari’ah to ensure ethical standards and societal benefits. In addition, the findings aid in developing a theoretically grounded conceptual framework for future empirical investigation, both theoretically and methodologically.

Originality/value

Given the paucity of studies in this multidisciplinary area, this paper offers new insights into the interdependence of halal entrepreneurship and Islamic finance, grounded in the finance–growth nexus theory and Maqasid-ul Shari’ah principles. Unlike other exploratory studies, this research presents a theoretically grounded conceptual framework, paving the way for future empirical investigations.
Application of social cognitive theory and Islamic theory of consumer behavior in accessing Muslim behavior toward halal nutraceuticals
Authors: Shamsudin Siti Nurunnajwa , Abu Bakar Elistina , Osman Syuhaily , Mohd Dali Nuradli Ridzwan Shah
Published: October 2024

Purpose

This study aims to explore the factors influencing Muslim behavior toward halal nutraceutical products in Malaysia.

Design/methodology/approach

This study used a quantitative survey approach to 400 Muslim respondents in Malaysia who have experience in consuming or purchasing nutraceutical products. The sampling technique used was multistage stratified sampling, and the data was analyzed using structural equation modeling.

Findings

This study revealed that perceived safety is the most influential factor contributing to Muslims’ behavior toward halal nutraceutical products in Malaysia, followed by Islamic values, trust, religiosity, maqasid al-Shariah and halal literacy.

Research limitations/implications

This study has only focused on halal nutraceutical products from the perspective of Muslim consumers in Malaysia.

Originality/value

This study contributes to understanding the factors that influence Muslim consumers’ behavior toward halal nutraceutical products by adopting the Social Cognitive Theory and Islamic Theory of Consumer Behavior.
Unveiling the dynamics that shape online impulse buying behavior
Authors: Kathuria Aastha , Bakshi Apurva
Published: October 2024

Purpose

This study uses self-determination theory (SDT) to investigate the impact of limited-time deals and credit card usage on online impulse buying behavior, with a focus on hedonic motivation as a mediating variable.

Design/methodology/approach

A survey was conducted with 290 participants from northern India, specifically Punjab, Haryana, Delhi NCR and Chandigarh. The current analysis validates the conceptual framework using the partial least squares structural equation modeling (PLS-SEM) methodology.

Findings

The results indicate that limited-time deals and credit card usage have a favorable impact on both hedonic motivation and online impulse buying behavior. Additionally, hedonic motivation mediates the relationship between limited-time deals, credit card usage and online impulse buying behavior.

Originality/value

The study’s originality stems from its novel application of the SDT to investigate the effects of limited-time deals and credit card usage on online impulse buying. By exploring the mediating role of hedonic motivation, it sheds new light on the psychological dynamics of online consumer behavior.
Does digitalization drive sustainable transformation in finance and accounting?
Authors: Lulaj Enkeleda , Hysa Eglantina , Panait Mirela
Published: October 2024

Purpose

This paper investigates the interplay among Finance-Accounting Digitalization (FAD), Advanced Finance-Accounting System (AFAS) and Accounting 2.0 and FinTech (AFT). It aims to elucidate how FAD impacts the adoption of AFAS, the evolution of AFT, and the ensuing sustainable evolution of finance and accounting practices.

Design/methodology/approach

A comprehensive survey was conducted from 2021 to 2023, involving 500 companies in Kosovo, spanning various sectors and sizes. The data were meticulously analyzed using SPSS and AMOS software, using structural equation modeling (SEM) to assess hypotheses, model fit and direct and indirect effects.

Findings

Significant relationships emerged between FAD, AFAS and AFT, highlighting the importance of computerized financial and accounting systems, the role of AFAS in achieving financial goals and the accessibility and adaptability of accounting data. In particular, the SEM analysis underscored a robust positive correlation between FAD and AFT, highlighting the transformative potential of digitalization. In addition, AFAS as a technological solution facilitates sustainability and operational efficiency. These findings provide crucial insights for future research and advocate for the use of digitalization to improve the efficiency of financial management.

Research limitations/implications

The research is constrained by its focus on Kosovo’s companies, potentially limiting generalizability. Additionally, the study’s reliance on survey data might introduce response bias.

Originality/value

This research contributes to the literature by delineating the intricate relationships between FAD, AFAS and AFT, shedding light on their implications for financial and accounting practices. It underscores the transformative value of digitalization in these domains, offering novel perspectives for academic and managerial discourse.
“Through the looking glass: envisioning new library technologies” AI is changing what photography means for libraries
Authors: Fernandez Peter
Published: October 2024

Purpose

The purpose of this column is to interrogate what it means for photographs as practical storehouses of data, how that interacts with society’s understanding of photography and what all of this may mean for the role of libraries as they relate to photographs.

Design/methodology/approach

A new generation of camera technology, integrated into phones, is being released. This column examines the implications for society at large, adding libraries in particular.

Findings

Once it is easy to do dramatic photo manipulation on the device that takes the photos, it will change how users think about photos. This has implications for how libraries plan information literacy, advocate for their users in the creation of standards and manage their collections.

Originality/value

This column will help information professionals think through the implications of this change for the future of the profession.
AI-driven innovations for enhancing mental health care in Tanzania: opportunities and challenges
Authors: Mwogosi Augustino , Mambile Cesilia , Shao Deo , Kibinda Nyaura
Published: October 2024

Purpose

This study aims to explore how artificial intelligence (AI) can enhance mental health care in Tanzania, focusing on its potential to enhance mental health services and address challenges in a low-resource setting.

Design/methodology/approach

A qualitative case study approach was used, with data collected through semi-structured interviews and focus group discussions involving key stakeholders in mental health and AI, including policymakers, technical experts, health-care providers and patient advocacy groups. Thematic analysis was used to identify key themes related to the opportunities and barriers to AI integration in mental health care.

Findings

This study identified several benefits of AI in mental health care, including improved diagnostic accuracy, personalised treatment and the potential for real-time monitoring of patients. However, significant barriers to AI adoption remain, such as infrastructure limitations, data privacy concerns and the need for training and resources to effectively integrate AI into mental health services.

Originality/value

This study contributes to the growing literature on AI in health care by focusing on its application in mental health care in Tanzania, a low-resource setting. The research provides valuable insights into how AI can bridge gaps in mental health service delivery, particularly in underserved regions, while highlighting the challenges that must be addressed for successful implementation.
Sustainable innovations in developing economies: a woven theoretical approach with qualitative evidence from Uganda
Authors: Wakibi Aziz , Alinda Kassim , Ntayi Joseph
Published: October 2024

Purpose

The purpose of this study is to present a theoretical framework that utilizes a success story to elucidate sustainable innovations in Ugandan financial institutions. It provides valuable insights from the standpoint of a developing African nation.

Design/methodology/approach

The study utilized a qualitative methodology, specifically in-depth interviews with employees of Stanbic Bank Uganda. A story was constructed to depict their pragmatic experiences, emphasizing the contextual backdrop, actions taken, outcomes and lessons learned. The 12th participant marked the point of data collecting saturation.

Findings

The results suggest that financial institutions that use sustainable solutions are able to mitigate operational risks, cut costs, increase revenue and achieve long-term success. Institutional logics exert a significant influence on the behavior, practices and decision-making processes of individuals or organizations, hence impacting their inclination toward innovation and openness to change. While organizational resilience facilitates the ability to change, maintain excellence and remain competitive. Networks facilitate the exchange of information across institutions, enabling them to stay updated on market trends, regulatory changes and emerging risks. This, in turn, assists in making educated decisions.

Originality/value

This study is innovative in its utilization of a success story to exemplify sustainable improvements in financial institutions in Uganda. While several studies exist world over on sustainable innovations, this study is the first to use a success story and proposes a theoretical model that illustrates how institutional logics, networks and organizational resilience contribute to the development of sustainable innovations in a developing country.
A study of the impact of ChatGPT self-efficacy on the information seeking behaviors in ChatGPT: the mediating roles of ChatGPT characteristics and utility
Authors: Mun Il Bong
Published: October 2024

Purpose

The purpose of this study was to examine the factors that influence the information seeking behaviors of ChatGPT users. Specifically, we investigated how ChatGPT self-efficacy, ChatGPT characteristics and ChatGPT utility affect the frequency and duration of information seeking via ChatGPT. We also tested the mediating roles of ChatGPT characteristics and utility in the relationship between ChatGPT self-efficacy and information-seeking behaviors.

Design/methodology/approach

This study adopts a quantitative approach and collects data from 403 ChatGPT users using an online questionnaire. The data are analyzed using linear regression and structural equation modeling (SEM).

Findings

The linear regression analyses revealed that ChatGPT self-efficacy is positively and significantly related to the information seeking behaviors in ChatGPT. Second, mediation analyses also showed that ChatGPT characteristics and utility significantly mediate the relationship between ChatGPT self-efficacy and information-seeking behaviors in ChatGPT independently and sequentially.

Originality/value

This study is the first to investigate the factors and mechanisms that influence information-seeking behaviors in ChatGPT, a new phenomenon in the media landscape. The findings in this study suggest that ChatGPT self-efficacy acts as an important motivator for information-seeking behaviors in ChatGPT and that ChatGPT characteristics and utility provide information regarding potential mechanisms in the relationship between ChatGPT self-efficacy and information-seeking behaviors in ChatGPT. The study contributes to the literature on information seeking, self-efficacy and generative AI.
Approximation-based adaptive two-bit-triggered bipartite tracking control for nonlinear networked MASs subject to periodic disturbances
Authors: Wu Wenjing , Zhao Ning , Zhang Liang , Wu Yuhang
Published: October 2024

Purpose

This paper aims to investigate the problem of adaptive bipartite tracking control in nonlinear networked multi-agent systems (MASs) under the influence of periodic disturbances. It considers both cooperative and competitive relationships among agents within the MASs.

Design/methodology/approach

In response to the inherent limitations of practical systems regarding transmission resources, this paper introduces a novel approach. It addresses both control signal transmission and triggering conditions, presenting a two-bit-triggered control method aimed at conserving system transmission resources. Additionally, a command filter is incorporated to address the problem of complexity explosion. Furthermore, to model the uncertain nonlinear dynamics affected by time-varying periodic disturbances, this paper combines Fourier series expansion and radial basis function neural networks. Finally, the effectiveness of the proposed methodology is demonstrated through simulation results.

Findings

Based on neural networks and command filter control method, an adaptive two-bit-triggered bipartite control strategy for nonlinear networked MASs is proposed.

Originality/value

The proposed control strategy effectively addresses the challenges of limited transmission resources, nonlinear dynamics and periodic disturbances in networked MASs. It guarantees the boundedness of all signals within the closed-loop system while also ensuring effective bipartite tracking performance.
Smart tourism transformation of the Şi̇le district: strategic aspects through a SWOT analysis
Authors: Aksoy Merve , Tokatlı Cemre , Altıntaş Volkan , Koçak Ali
Published: October 2024

Purpose

This study aims to evaluate the smart destination potential of the Şile district by identifying its strengths, weaknesses, opportunities and threats related to smart city applications.

Design/methodology/approach

A comprehensive SWOT analysis was conducted using data from participants and relevant documentation to assess the feasibility of smart tourism initiatives in Şile.

Findings

The analysis reveals that Şile, due to its proximity to Istanbul, has significant potential to develop into a smart tourism destination. Key strengths include its natural attractions, while challenges revolve around infrastructure limitations.

Research limitations/implications

The study is limited to the Şile district and may not be generalizable to other regions. Future research could expand the scope to include comparative studies with other potential smart tourism destinations.

Originality/value

This research contributes to the growing body of literature on smart tourism by offering strategic recommendations tailored to the unique context of Şile, a district with significant but underutilized potential.
Pemphigus relapse: Mechanisms, risk factors, and agents associated with disease recurrence
Authors: Pathak Gaurav N. , Agarwal Priya , Wolfe Sydney M. , Patel Kush H. , Dhillon Jimmy , Rao Babar K.
Published: October 2024

Pemphigus represents a spectrum of potentially life‐threatening autoimmune‐mediated skin blistering conditions caused by antibody production against desmoglein 1 and 3 (anti‐DSG 1 and 3) in keratinocytes. Greater than 50% of pemphigus patients experience relapse, which complicates long‐term medical management, including risks associated with re‐treatment and complications such as infection and dehydration. This review aims to elucidate mechanisms, risk factors, and medications associated with pemphigus relapse. Mechanisms of relapse include the persistence of auto‐reactive B‐cell populations post‐treatment and CD20‐ B‐cell populations that reactivate after B‐cell depletion therapy. Risk factors for relapse include high body surface area (BSA) of pemphigus involvement, high body mass index, high severity according to the Pemphigus Disease Area Index (PDAI) at onset, treatment delay, and high anti‐DSG1 and DSG3 titers post‐treatment. Targeted B‐cell localization is associated with better clinical outcomes, including less frequent relapses. Rituximab is currently the gold standard of treatment for moderate–severe pemphigus and has relapse rates of 11%–44% in selected studies, with a mean time to relapse of 5.8 months to 36 months following treatment. Relapse rates across lymphoma dosing (375 mg/m2) versus rheumatoid arthritis dosing (1 g dosing weekly) was inconsistent; however, more frequent dosing, earlier treatment, and higher cumulative dosing were associated with lower relapse rates. Alternative agents that have clinical efficacy include corticosteroid monotherapy, mycophenolate mofetil, azathioprine, and intravenous immunoglobulin. Future studies should include head‐to‐head comparators over long follow‐up periods to identify the best treatment agents associated with the least relapse risk.
A case of rapidly progressive hair loss due to azathioprine, and the prevalence of NUDT15 variants among Japanese patients with autoimmune blistering diseases: A single‐center retrospective observational study
Authors: Katayama Sho , Izumi Kentaro , Ujiie Inkin , Ujiie Hideyuki
Published: October 2024

Autoimmune blistering diseases (AIBDs), classified into pemphigus and pemphigoid, consist of relatively rare skin disorders caused by autoantibodies that target desmosomal and hemidesmosomal proteins, respectively. Although systemic corticosteroids are used as a first‐line treatment for AIBDs, azathioprine is frequently co‐administered as a steroid‐sparing agent. Azathioprine is metabolized into thioguanine nucleotides (TGNs) which are its major active metabolites. The enzyme nudix hydrolase 15 (NUDT15) plays a key role in regulating TGNs. Serious side effects of azathioprine, including leukopenia and alopecia, are known to be particularly problematic in individuals with NUDT15 variants. The single‐nucleotide polymorphism c.415C >T (p.Arg139Cys) is one of the most frequent NUDT15 variants associated with severe thiopurine toxicity. Recently, we treated a case of pemphigus vulgaris in a patient with NUDT15 variants in which the patient developed rapidly progressive diffuse hair loss and myelosuppression while receiving azathioprine. Previous reports on NUDT15 polymorphisms mainly focused on patients with inflammatory bowel disease or hematological malignancies, and the prevalence of NUDT15 polymorphisms remains unknown in AIBDs. This highlights the urgent need for research on NUDT15 polymorphisms in AIBDs to achieve a better understanding of the genetic factors influencing adverse reactions to azathioprine. To clarify the prevalence of NUDT15 variants in Japanese patients with AIBDs, we retrospectively reviewed the medical records of 78 patients with AIBDs (26 with bullous pemphigoid, 26 with pemphigus vulgaris, 17 with pemphigus foliaceus, and nine with other AIBDs) who had come to Hokkaido University Hospital between 2018 and 2023. The frequencies of NUDT15 variants of Arg/Arg, Arg/Cys, and Cys/Cys in these patients were approximately 72%, 23%, and 5%, respectively. Our findings indicate a prevalence of NUDT15 variants in AIBD patients that is similar to the prevalences of previous studies on patients with other diseases. These results emphasize the importance of screening for NUDT15 variants prior to initiating azathioprine treatment in Japanese patients with AIBDs.
Clinical characteristics and outcomes of autoimmune blistering diseases in Japan
Authors: Encarnacion Maria Rosa Noliza , Kawai Ryota , Kuwabiraki Hiroto , Ban Nanaka , Yoshida Hisako , Shintani Ayumi , Tsuruta Daisuke , Hiroyasu Sho
Published: October 2024

Autoimmune blistering diseases (AIBDs), including pemphigoid and pemphigus, are intractable dermatological disorders clinically characterized by blistering and erosion affecting mucosal membranes and the skin. Due to their rarity and the limited coverage for less severe cases under Japanese medical subsidies, comprehensive epidemiological analyses encompassing less severe cases have not been conducted in Japan. In this study, we analyzed the epidemiology of AIBDs in Japan, utilizing data from a Japanese nationwide database. We identified 9796 cases of bullous pemphigoid (BP), 62 cases of epidermolysis bullosa acquisita (EBA), 871 cases of pemphigus vulgaris (PV), and 578 cases of pemphigus foliaceous (PF). BP patients exhibited an older age distribution compared to EBA, PV, and PF, with median ages of 81, 72, 65, and 70 years, respectively. Higher rates of comorbidities such as Alzheimer's disease, spondylopathies, and extrapyramidal and movement disorders were observed only in BP cases, while other neurodegenerative disorders such as polyneuropathies, unspecified dementia, and schizophrenia were frequent in both BP and EBA. Dipeptidyl peptidase‐4 inhibitors were more commonly prescribed before the onset of BP and EBA compared to PV and PF. Treatment patterns indicated that PV patients were more frequently administered higher doses of oral corticosteroids compared to other AIBDs. Additionally, aggressive therapies, including steroid pulse, intravenous immunoglobulin, and plasmapheresis therapies, were more frequently applied in PV cases. In‐hospital mortality rates were higher in BP and EBA at 8.0% and 11.3%, respectively, compared to PV and PF at 2.8% and 5.9%, respectively. Kaplan–Meier analysis indicated that BP and EBA reached a 5‐year in‐hospital mortality rate of approximately 0.21 and 0.34, while PV and PF rates were approximately 0.07 and 0.11, respectively. The Cox hazard model revealed that higher age is the risk factor for in‐hospital mortality in all diseases. Kaplan–Meier analysis indicated a cumulative steroid cessation probability of 0.25 at 3 years for BP, and at 6 and 5 years for PV and PF, respectively. The Cox hazard model revealed that higher age and lower maximum corticosteroid dose contribute to the steroid cessation probability in BP, PV, and PF. This study provides insights into the epidemiology, treatment patterns, comorbidities, and outcomes of AIBDs in Japan.
First reported case of thymoma‐associated multiorgan autoimmunity induced by COVID‐19
Authors: Hyobu Rie , Mori Miho , Maeda Tatsuo , Fujimori Kazuki , Shimai Yukako , Naito Makiko , Masuda Masayuki , Ohira Tatsuo , Ikeda Norihiko , Okubo Yukari , Harada Kazutoshi
Published: October 2024

Thymoma‐associated multiorgan autoimmunity (TAMA) presents with skin symptoms similar to those of graft‐versus‐host disease (GVHD), liver dysfunction, and enteritis, in the absence of a history of hematopoietic stem cell or bone marrow transplantation. TAMA is a type of paraneoplastic syndrome associated with thymoma. Its etiology is unclear but is thought to be a result of breakdown of immune tolerance. Histopathologically, TAMA is characterized by epidermal acanthosis with parakeratosis, individual cell keratinization, liquefaction degeneration, and intraepidermal infiltration of CD8‐positive lymphocytes. A 64‐year‐old female patient with a history of myasthenia gravis and thymoma treated with prednisolone (10 mg/day) and cyclosporine (150 mg/day) experienced erythema on her trunk after coronavirus disease 2019 (COVID‐19) onset. A psoriatic drug eruption was suspected and the possible causative drug was discontinued, but the skin rash failed to improve. A skin biopsy demonstrated GVHD‐like histopathological findings. Diarrhea, abdominal pain, and duodenal perforation occurred concurrently, leading to the diagnosis of TAMA. Thereafter, the patient continued prednisolone and cyclosporine in the same doses as the TAMA treatment and added topical steroids. During the disease course, candida fungemia and cytomegalovirus infection developed, resulting in the patient's death. The TAMA was considered to have been caused by the release of inflammatory cytokines, autoreactive T cell activation, and regulatory T cell dysfunction induced by COVID‐19.
All that Glitters is Not Gold! Could M&As Post‐Bank Reforms be Just a Tool for Balance Sheet Embellishment?
Authors: Cucinelli Doriana , Ielasi Federica , Zambelli Simona
Published: October 2024

This study investigates whether the surge of mergers and acquisitions (M&As) that occurred in Italy after the enactment, in 2016, of a new reform of credit cooperative banks (CCBs) ultimately improved their performance. Worldwide, CCBs have proved to play a crucial role in spurring local economic development. With the adoption of a dataset composed of 594 Italian banks and 3933 bank‐year observations from 2008 to 2020, our results show a positive and significant impact of the 2016 reform on M&As among CCBs. However, contrary to the expectations of regulators, our results highlight a puzzling deterioration in bank stability of the CCBs involved in M&As, with no relevant improvement in capitalization and profitability, reinforcing the view that bigger is not always better, at least in the context of CCBs. Our evidence sheds light on the perils underlying a massive consolidation process of local banking industries, calling for a regulatory recalibration and further research investigating the impact of different growth models capable of preserving the diversity and unique characteristics of banks, rather than pursuing a ‘one‐size‐fits‐all’ model.
Our other Others: on perpetration, morality, and ethnographic unease
Authors: Korsby Trine Mygind , Vigh Henrik
Published: October 2024

This article critically assesses the impact of political and moral positions within contemporary anthropology. Re‐examining ideas of advocacy and the ethical within the discipline, it argues for an alternative political anthropology that focuses on perpetration rather than victimhood, offenders rather than the offended. If anthropology wants to be a discipline that works against social wrongs and suffering, then understanding the positions and perspectives of those causing them is, we contend, a necessary point of departure. Yet how can we approach people ethnographically who transgress bodily, legal, and moral boundaries, and why is this not more commonly done? In answering these questions, we analyse mainstream disciplinary ethics, both current and historical, and highlight some of the reactions that the study of perpetrators evoke in anthropologists. This illuminates an inconsistency within political anthropology. While there is ample theoretical and ethnographic nuance within the subdiscipline, this complexity seems to fade when we focus on perpetration. We suggest that anthropology engages more fully in the study of perpetration and approaches the issue by clarifying how (mis)dynamics are anchored within shared social worlds and historical becomings. This article thus calls upon us to expand our anthropological attention and curiosity beyond what might be morally comfortable.