bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dynamic generation of superflow in a fermionic ring through phase imprinting
Authors: Chen Ke-Ji , Yi Wei , Wu Fan 
Published: January 2025

We study the dynamic generation of persistent current by phase imprinting fermionic atoms in a ring geometry at zero temperature. Mediated by the pairing interaction, the Fermi condensate dynamically acquires a quantized current by developing azimuthal phase slips, as well as density and pairing-order-parameter depletions. Resorting to the Bogolioubov–de Gennes formalism, we investigate the time evolution of the transferred total angular momentum and the quantized superfluid current throughout the phase-imprinting process. This enables a detailed self-consistent analysis of the impact of interaction, as well as different initial pairing states, on the superflow formation, in contrast to previous theoretical analysis based on the Gross-Pitaevskii equation with artificially imposed phases. In particular, we show that, as the interaction strength increases, the azimuthal density distribution becomes less susceptible to the phase imprinting potential, leading to a smaller quantized current under the same imprinting parameters. Our results offer microscopic insights into the dynamic development of superflow in the phase-imprinting process, and are helpful for the ongoing experimental effort.

Published by the American Physical Society
2025
The antecedents of online teaching anxiety among university lecturers in Thailand: a mixed-methods investigation
Authors: Aba Shaar Mohammed Yassin Mohd , Waluyo Budi , Rofiah Nur Lailatur , Singhasuwan Phanit , Tongumpa Kanyarat 
Published: January 2025

PurposeThe study examined the antecedents of lecturers' online teaching anxiety and analyzed their relationships with variables such as gender, age, education, teaching experience and faculty.Design/methodology/approachUsing a mixed-methods design, the study involved 115 university lecturers through surveys and 15 through semi-structured interviews, with data analyzed via mixed-methods approaches.FindingsPersonal matters and digital literacy caused the lowest anxiety, teaching methods and classroom management triggered moderate anxiety, and teaching context and health factors provoked the highest. Female lecturers experienced greater health-related anxiety due to prolonged screen time. Education lecturers reported lower anxiety than science lecturers, whose laboratory-based content was harder to adapt to online teaching.Originality/valueLecturers' online teaching anxiety stemmed from six factors: digital literacy, teaching context, teaching methods, class management, health and personal matters. Institutional and social support have been identified as crucial for improving well-being and reducing anxiety.
From tactical to strategic sustainability communication: a qualitative study on corporations in Türkiye
Authors: Aksoy Zeynep , Misci Kip Sema 
Published: January 2025

PurposeThis study aims to examine the extent to which companies internalize, adopt and communicate the issue of sustainability. With this aim, research questions address companies’ approaches to sustainable development goals (SDGs), the extent to which the concept of sustainability is reflected in the goals, vision, mission and values of the organizations and the interrelationship between corporate identities, SDGs, sustainability projects and communication activities of the companies.Design/methodology/approachContent analysis is employed on the sustainability reports, websites, social media accounts, media releases and news of the corporations listed in BIST Sustainability Index (2020) in Türkiye. The typology of sustainability communication processes (Newig et al., 2013) is utilized for data analysis to reveal an overall picture of the companies’ approach to sustainability communication.FindingsResearch findings demonstrated that only 11 companies internalize, adopt and communicate the issue of sustainability. A total of 32 companies make no mention of sustainability in their vision, mission, purpose or values. It is observed that few companies establish their entire communication on sustainability strategy. Although some of the companies’ purpose of existence is sustainability, and they manage valuable projects, their approach to communication is still tactical. The study reveals that most of the companies take a tactical approach to sustainability and fewer adopt strategic actions and communications.Originality/valueIn Türkiye, research on sustainability involves either optimistic evaluations of governmental organizations or limited case studies on specific SDGs, particular sectors or social media analyses. This research exposes the holistic picture of sustainability and communication among the companies listed in the BIST Sustainability Index. The results of the holistic approach suggest that organizations should improve their communication about sustainability and communication for sustainability to activate their publics.
A TVD WAF scheme based on an accurate Riemann solver to simulate compressible two-phase flows
Authors: Zeidan Dia , Qadi El Idrissi Abdelmjid 
Published: January 2025

Purpose
This study aims to propose a robust total variation diminishing (TVD) weighted average flux (WAF) finite volume scheme for investigating compressible gas–liquid mixture flows.

Design/methodology/approach
This study considers a two-phase flow composed of a liquid containing dispersed gas bubbles. To model this two-phase mixture, this paper uses a homogeneous equilibrium model (HEM) defined by two mass conservation laws for the two phases and a momentum conservation equation for the mixture. It is assumed that the velocity is the same for the two phases, and the density of phases is governed by barotropic laws. By applying the theory of hyperbolic equations, this study establishes an exact solution of the Riemann problem associated with the model equations, which allows to construct an exact Riemann solver within the first-order upwind Godunov scheme as well as a robust TVD WAF scheme.

Findings
The ability and robustness of the proposed TVD WAF scheme is validated by testing several two-phase flow problems involving different wave structures of the Riemann problem. Simulation results are compared against analytical solutions and other available numerical methods as well as experimental data in the literature. The proposed approach is much superior to other strategies in terms of the accuracy and ability of reconstruction.

Originality/value
The novelty of this work lies in its methodical extension of a TVD WAF scheme implementing an exact Riemann solver developed for compressible two-phase flows. Furthermore, other novelty lies on the quantitative calculation of different Riemann problem two-phase flows. Simulation results involve the verification of the constructed methods on the exact solutions of HEM without any restriction of variables.
“Exploring barriers towards green personal care products purchase: an integrated ISM-MICMAC approach”
Authors: Luthra Chhavi , Deshwal Pankaj , Kushwah Shiksha , Gokarn Samir 
Published: January 2025

Purpose
The demand for green personal care products (GPPs) has been growing globally due to increasing health-care concerns. However, the purchase rate of these products among consumers remains low. This study aims to identify and model the key barriers to the purchase of GPPs.

Design/methodology/approach
For this purpose, the study used innovation resistance theory (IRT) as a framework to identify key barriers to the purchasing of GPPs. The barriers were identified through a systematic literature review and validated by industry and academia experts. Furthermore, using interpretive structural modelling and Matrice d’Impacts Croisés Multiplication Appliquée a un Classement, the study identifies the interrelationships among the barriers and categorizes them based on their driving and dependence power.

Findings
The findings reveal that limited availability, improper labelling standard and certification, poor performance of products and lack of government regulations are key barriers to the purchase of GPPs.

Research limitations/implications
The study contributes to the existing literature on green purchase behaviour. Furthermore, it informs marketing strategies to overcome the identified barriers and increase the purchase of GPPs.

Originality/value
This study is the foremost empirical study that identifies and analyses the industry specific barriers to GPPs based on experts’ input and under the purview of IRT.
Probabilistic modeling of uncertainties in reliability analysis of mid- and high-strength steel pipelines under hydrogen-induced damage
Authors: Yang Shiyuan , Meng Debiao , Díaz Andrés , Yang Hengfei , Su Xiaoyan , Jesus Abilio M.P. de 
Published: January 2025

PurposeTransporting hydrogen through natural gas pipelines in blended compositions has been proven to be a highly feasible solution in the short term. However, under hydrogen-rich environments, steel structures are prone to hydrogen-induced damage (HID). Additionally, uncertainties in various parameters can significantly impact the performance evaluation of hydrogen pipelines. Efficient reliability and sensitivity analyses of medium- to high-strength steel pipelines considering HID have become a challenge. Therefore, the primary aim of this study is to address this issue.Design/methodology/approachThis study first establishes reliability analysis models for medium- to high-strength steels, represented by X65 and X80. In these models, the effect of HID is expressed by reduced stress, and its statistical parameters are calculated. Then, a highly efficient enhanced first order reliability method (FORM) is proposed for pipeline reliability analysis. This method overcomes the oscillation and convergence issues of traditional FORM when dealing with certain problems and can compute negative reliability indices. The proposed reliability analysis method is applied to solve the constructed reliability models. Finally, a reliability sensitivity analysis is conducted on the models to identify the key variables affecting the reliability of medium- to high-strength steel pipelines under HID.FindingsFirst, two reliability analysis examples are used to validate the effectiveness of the proposed enhanced FORM. Then, using this method to solve the constructed reliability models for X65 and X80 steel pipelines under HID reveals that, for both types of steel, the reliability indices decrease significantly when considering HID compared to cases without HID. The decline is more pronounced for X80 steel than for X65 steel. As internal pressure increases, the reliability of both steels drops sharply, showing a concave parabolic trend. Moreover, the reliability sensitivity analysis shows that at a pressure of 10 MPa, for both X80 and X65, internal pressure, pipeline wall thickness and model error are the top three factors influencing reliability. As internal pressure increases, its influence becomes stronger, while the impact of other variables diminishes. Notably, for X80 steel, the presence of hydrogen amplifies the effect of internal pressure on pipeline reliability compared to when HID is not considered, but for X65, this trend is reversed.Originality/valueGiven the urgent need for safety evaluation studies on hydrogen transport through natural gas pipelines, this research provides new insights by constructing reliability models for X65 and X80 pipeline steels under HID and introducing an enhanced FORM method. The results of the reliability and sensitivity analyses of the models offer valuable insights and serve as a reference for engineering design.
Aligning corporate social responsibility with artificial intelligence in healthcare in the context of the post-COVID-19 recovery: a viewpoint
Authors: Gagliardi Anna Roberta , Tomaselli Gianpaolo 
Published: January 2025

PurposeThis study explores how corporate social responsibility (CSR) and artificial intelligence (AI) can be combined in the healthcare industry during the post-COVID-19 recovery phase. The aim is to showcase how this fusion can help tackle healthcare inequalities, enhance accessibility and support long-term sustainability.Design/methodology/approachAdopting a viewpoint approach, the study leverages existing literature and case studies to analyze the intersection of CSR and AI. It investigates AI’s capabilities in predictive analytics, telemedicine and resource management within the framework of CSR principles.FindingsIntegrating AI and CSR can profoundly enhance healthcare delivery by ensuring equitable access, optimizing resource allocation and fostering trust through transparency and ethical standards. This synergy benefits public health and enhances the corporate image and long-term viability of healthcare organizations.Research limitations/implicationsThe study is conceptual and relies on existing literature and case studies. Future research should empirically test the proposed models and frameworks in diverse healthcare settings to validate and refine these insights.Practical implicationsThe insights from this study can be directly applied by healthcare organizations to develop policies and practices that integrate AI and CSR. This integration can promote ethical standards, enhance operational efficiency and, most importantly, improve patient outcomes.Social implicationsIntegrating AI and CSR in the healthcare sector carries consequences. It plays a role in promoting fairness among patients, bridging gaps in healthcare services, and boosting trust and independence through the clear and responsible use of AI technologies. This highlights the groundbreaking impact of this research within the healthcare industry.Originality/valueThis paper offers a viewpoint perspective on the strategic alignment of AI and CSR, presenting a novel approach to creating resilient healthcare systems in the post-COVID-19 era. It provides healthcare managers and policymakers with valuable insights on leveraging AI within CSR frameworks to achieve sustainable healthcare solutions, thereby contributing significantly to the field.
The impact of product evaluation on appreciative engagement in social free sampling: a persuasion knowledge model perspective
Authors: Liao Junyun , Ye Yaohua , Li Fengyan , He Kai 
Published: January 2025

PurposeSocial free sampling (SFS) campaigns are an increasingly popular marketing practice in which firms provide trial users with free sampling products and collect posted trial reports from trial users on social commerce sites to attract prospective consumers. This paper aims to examine how trial users’ product evaluation in SFS influence appreciative reader engagement by utilizing the persuasion knowledge model (PKM).Design/methodology/approachTo test our theoretical framework, 3,427 trial reports were collected from an SFS site and analyzed using Poisson regression models.FindingsSFS evaluation is negatively associated with readers’ appreciative engagement. We also found that higher emotional intensity in SFS reports or higher reputation of the trial user mitigates the negative effect of the product evaluation. However, when the trial report with stronger emotional intensity is written by a trial user with a high reputation, the negative impact of the SFS evaluation on appreciative engagement becomes more pronounced.Research limitations/implicationsAlthough extant research has acknowledged product rating bias in product trial reports, limited empirical studies have examined the impact of product ratings on reader engagement. This empirical study bridges the voids of product rating bias in the social free sampling literature and provides important managerial implications for the emerging social free sampling.Practical implicationsBrands should be careful of the negative effect of high product rating and this negative effect can be mitigated by inviting users of high reputation.Originality/valueThis study is among the first ones that examine the effect of SFS product evaluation on appreciative engagement and provide a nuanced understanding of how product evaluation, user reputation and emotion intensity jointly shape reader engagement.
Risk spillover across Chinese industries: novel evidence from multilayer connectedness networks
Authors: Jin Xiu , Yu Jinming , Liu Yueli , Chen Na 
Published: January 2025

PurposePrevious research has predominantly concentrated on examining risk spillovers through single-layer networks, neglecting the multi-related and multilayer network characteristics of the economic system. This study constructs multilayer connectedness networks, including return, volatility and extreme risk layers, to systematically analyze the risk spillovers across Chinese industries at the system and industry levels.Design/methodology/approachPrevious studies have constructed multilayer networks using Diebold and Yilmaz’s (2012) approach or the time-varying parameter vector autoregressive (TVP-VAR) connectedness model. In this study, we employ the TVP-VAR-extended joint connectedness approach, which improves these methods and captures risk spillovers more accurately.FindingsAt the system level, the risk spillover across industries exhibits distinct network structures and dynamic evolution behaviors across different layers. During extreme events, the intensity, scope and speed of risk spillovers increase markedly across all layers, with volatility and extreme risk layers demonstrating greater sensitivity to crises. At the industry level, industrial and optional consumption typically serve as risk transmitters, while medicine and health, as well as financial real estate, tend to be risk receivers across three layers. Moreover, industrial, optional consumption and materials exhibit significant systemic importance.Originality/valueTo the best of our knowledge, this is the first study to apply multilayer networks with return, volatility and extreme risk layers to systematically examine risk spillovers between Chinese industries.
How supervisor thriving at work affect subordinates’ well-being and behavior: integrating job demands-resources and crossover theory
Authors: Guan Xiaoyu , Frenkel Stephen J. , Yu Haibo 
Published: January 2025

PurposeDrawing on crossover research and job demands-resources (JD-R) theory, this study aims to explore the transfer process on thriving at work between supervisors and subordinates and consequences for subordinate behaviors and well-being.Design/methodology/approachA series of questionnaire surveys were conducted to collect data in three time-lags and multiple sources; The final sample comprised 62 supervisors matched with 315 subordinates. A multilevel path model was specified to test the hypothesized structural relationships in our model using Mplus.FindingsThis study finds that supervisor thriving at work leads to role overload among subordinates, which in turn results in subordinate burnout and supervisor-directed deviance behavior. In addition, arising from role overload, supervisor thriving at work diminishes subordinate thriving at work.Practical implicationsSince supervisor thriving at work may have negative consequences for subordinates, organizations should monitor and evaluate the impact of leadership on team dynamics regularly to address any negative effects that may arise from thriving leadership.Originality/valueOverall, our study shows how supervisor thriving at work exerts a negative rather than positive effect on subordinates with adverse consequences for supervisors and the organization. This dark side of workplace thriving serves as a foundation for future work.
Top executives’ military experience and the firm internationalisation process: the moderating role of managerial discretion
Authors: Ding Zhenkuo , Chen Zhipeng , Huang Sheng 
Published: January 2025

Purpose
This paper aims to examine the impact of top executives’ military experience on the internationalisation process of firms, as well as the boundary conditions of this impact.

Design/methodology/approach
The hypotheses are tested using 8,759 imbalanced panel samples in 1,718 China’s A-share listed firms.

Findings
The findings show that the military experience of top executives has a positive impact on the internationalisation process (scope, speed and rhythm) of firms. The managerial discretion strengthens the influence of top executives’ military experience on the internationalisation scope and speed but weakens its influence on the internationalisation rhythm.

Originality/value
The study contributes to the literature by testing the relationships that among military experience of top executives, firm internationalisation process and managerial discretion. The authors also help practitioners to become aware of the importance that the military experience of top executives have on firm internationalisation process, and managerial discretion can exert contingent influence on this relationship.
Risk factors in Vietnamese financial stock returns
Authors: Quy Duong Le 
Published: January 2025

Purpose
The exclusion of financial stocks in well-known asset pricing models is problematic because they play an essential role not only in capital markets but also in the entire economy. This study aims to present evidence on risk factors affecting the expected returns of financial stocks in the context of a frontier emerging market such as Vietnam.

Design/methodology/approach
Based on data of 81 Vietnamese financial firms from 2011 to 2023, the authors perform the CAPM, three-factor, five-factor, and six-factor models of Fama and French (1993, 2015, 2018). Because provision could be an essential implication of default risk level, the authors build the provision factor by creating a zero-investment strategy that is long on financial stocks with low provision rates and short on high provision rate stocks. The effectiveness of asset pricing models is evaluated using regression analysis, the GRS test of Gibbons et al. (1989), the redundancy test of Fama and French (2018) and the cross-sectional test of Fama and MacBeth (1973).

Findings
Although size and value risk premiums are prevalent in Vietnamese financial stocks, other firm-specific factors such as profitability, investment and momentum are not priced in financial stock returns. Empirical results document that provision is a relevant risk factor to financial stock returns. The three-factor model of Fama and French (1993) augmented with provision and turnover factors outperforms other models in explaining financial stock returns. Robustness tests lend further credibility to the findings.

Originality/value
This paper makes three key contributions. First, to the best of the authors’ knowledge, this is the first study to examine risk factors that are priced in Vietnamese financial stocks. Second, the authors highlight the relevance of provision in financial stock pricing. Finally, it is not only an out-of-sample test for the prominent Fama-French asset pricing models but also contributes to investment strategies in Vietnamese financial stocks.