bluuebunny/crossref_metadata_2025 huggingface dataset:
Spin noise spectroscopy of an alignment-based atomic magnetometer
Authors: Koźbiał M. , Elson L. , Rushton L. M. , Akbar A. , Meraki A. , Jensen K. , Kołodyński J.
Published: July 2024

Optically pumped magnetometers (OPMs) are revolutionizing the task of magnetic-field sensing due to their extremely high sensitivity combined with technological improvements in miniaturization which have led to compact and portable devices. OPMs can be based on spin-oriented or spin-aligned atomic ensembles which are spin polarized through optical pumping with circular or linear polarized light, respectively. Characterization of OPMs and the dynamical properties of their noise is important for applications in real-time sensing tasks. In our work, we experimentally perform spin noise spectroscopy of an alignment-based magnetometer. Moreover, we propose a stochastic model that predicts the noise power spectra exhibited by the device when, apart from the strong magnetic field responsible for the Larmor precession of the spin, white noise is applied in the perpendicular direction aligned with the pumping-probing beam. By varying the strength of the noise applied as well as the linear-polarization angle of incoming light, we verify the model to accurately predict the heights of the Larmor-induced spectral peaks and their corresponding linewidths. Our work paves the way for alignment-based magnetometers to become operational in real-time sensing tasks.

Published by the American Physical Society
2024
One-jettiness DIS event shape at
N3LL+O(αs2)
Authors: Cao Haotian , Kang Zhong-Bo , Liu Xiaohui , Mantry Sonny
Published: July 2024

We present results for the τ1 and τ1a 1-jettiness global event shape distributions, for deep inelastic scattering (DIS), at the N3LL+O(αs2) level of accuracy. These event-shape distributions quantify and characterize the pattern of final state radiation in electron-nucleus collisions. They can be used as a probe of nuclear structure functions, as nuclear medium effects in jet production, and for a precision extraction of the QCD strong coupling. The results presented here, along with the corresponding numerical codes, can be used for analyses with HERA data, in Electron-Ion Collider (EIC) simulation studies, and for eventual comparison with real EIC data.

Published by the American Physical Society
2024
Reconstructing generalized parton distributions from the lattice off-forward Compton amplitude
Authors: Hannaford-Gunn A. , Can K. U. , Crawford J. A. , Horsley R. , Rakow P. E. L. , Schierholz G. , Stüben H. , Young R. D. , Zanotti J. M. ,   CSSM/QCDSF/UKQCD Collaborations
Published: July 2024

We present a determination of the structure functions of the off-forward Compton amplitude H1 and E1 from the Feynman-Hellmann method in lattice QCD. At leading twist, these structure functions give access to the generalized parton distributions (GPDs) H and E, respectively. This calculation is performed for an unphysical pion mass of mπ=412  MeV and four values of the soft momentum transfer, t≈0,−0.3,−0.6,−1.1  GeV2, all at a hard momentum scale of Q¯2≈5  GeV2. Using these results, we test various methods to determine properties of the real-time scattering amplitudes and GPDs: (1) we fit their Mellin moments, and (2) we use a simple GPD ansatz to reconstruct the entire distribution. Our final results show promising agreement with phenomenology and other lattice results and highlight specific systematics in need of control.

Published by the American Physical Society
2024
Exact lattice chiral symmetry in 2D gauge theory
Authors: Berkowitz Evan , Cherman Aleksey , Jacobson Theodore
Published: July 2024

We construct symmetry-preserving lattice regularizations of 2D QED with one and two flavors of Dirac fermions, as well as the “3450” chiral gauge theory, by leveraging bosonization and recently proposed modifications of Villain-type lattice actions. The internal global symmetries act just as locally on the lattice as they do in the continuum, the anomalies are reproduced at finite lattice spacing, and in each case we find a sign-problem-free dual formulation.

Published by the American Physical Society
2024
Negative Barnett effect, negative moment of inertia of the gluon plasma, and thermal evaporation of the chromomagnetic condensate
Authors: Braguta Victor V. , Chernodub Maxim N. , Kudrov Ilya E. , Roenko Artem A. , Sychev Dmitrii A.
Published: July 2024

We discuss the negativity of the moment of inertia of (quark-)gluon plasma in a window of “supervortical” range of temperatures above the deconfining phase transition, T≃(1…1.5)Tc, found recently in numerical Monte Carlo simulations by two independent methods. In our work, we confirm numerically that the origin of this effect is rooted in the thermal evaporation of the nonperturbative chromomagnetic condensate. We argue that the negative moment of inertia of gluon plasma indicates the presence of a novel effect, the negative spin-vortical coupling for gluons resulting in a negative gluonic Barnett effect: the spin polarization of gluons exceeds the total angular momentum of rotating plasma, thus forcing the orbital angular momentum to take negative values in the supervortical range of temperatures.

Published by the American Physical Society
2024
Vacuum structure of an eight-dimensional
SU(3)
gauge theory on a magnetized torus
Authors: Kojima Kentaro , Okubo Yuri , Takeda Carolina Sayuri
Published: July 2024

We analyze the vacuum structure of an eight-dimensional non-Abelian gauge theory with a compactified four-dimensional torus as the extra dimensions. As a nontrivial background configuration of the gauge field of an SU(n) gauge group, we suppose a magnetic flux in two extra dimensions, and continuous Wilson line phases are also involved. We introduce matter fields and calculate the mass spectrum of low-energy modes appearing in a four-dimensional effective theory in an SU(3) model as an explicit example. As expected, potentially tachyonic states in four-dimensional modes appear from extra-dimensional gauge fields that couple to the flux background since the gauge group is simply connected. The Wilson line phases give a nonvanishing contribution to their masses, and we have a low-energy mass spectrum without tachyonic states, given that these phases take an appropriate value. To verify the validity of the values of the Wilson line phases, we examine the one-loop effective potential for these phases and explicitly show the contribution from each type of field present in our model. It is clarified that, although there seems to be no local minimum in the potential for the Wilson line phases in the pure Yang-Mills case, by including matter fields, we could find a vacuum configuration where tachyonic states disappear.

Published by the American Physical Society
2024
Soft-photon spectra and the Low-Burnett-Kroll theorem
Authors: Balsach R. , Bonocore D. , Kulesza A.
Published: July 2024

The study of next-to-leading-power (NLP) corrections in soft emissions continues to attract interest both in quantum chromodynamics (QCD) and in quantum electrodynamics (QED). Soft-photon spectra in particular provide a clean case-study for the experimental verification of the Low-Burnett-Kroll (LBK) theorem. In this paper we study the consistency of the LBK theorem in the context of an ambiguity arising from momentum-conservation constraints in the computation of nonradiative amplitudes. We clarify that this ambiguity leads to various possible formulations of the LBK theorem, which are all equivalent up to power-suppressed effects (i.e., beyond the formal accuracy of the LBK theorem). We also propose a new formulation of the LBK theorem with a modified shifted kinematics which facilitates the numerical computation of nonradiative amplitudes with publicly available tools. Furthermore, we present numerical results for soft-photon spectra in the associated production of a muon pair with a photon, both in e+e− annihilation and proton-proton collisions.

Published by the American Physical Society
2024
Constraining the low-energy
S=−2
meson-baryon interaction with two-particle correlations
Authors: Mantovani Sarti V. , Feijoo A. , Vidaña I. , Ramos A. , Giacosa F. , Hyodo T. , Kamiya Y.
Published: July 2024

In this paper we present a novel method to extract information on hadron-hadron interactions using for the first time femtoscopic data to constrain the low-energy constants of a QCD effective Lagrangian. This method offers a new way to investigate the nonperturbative regime of QCD in sectors where scattering experiments are not feasible, such as the multistrange and charm ones. As an example of its application, we use the very precise K−Λ correlation function data, recently measured in pp collisions at LHC, to constrain the strangeness S=−2 meson-baryon interaction. The model obtained delivers new insights on the molecular nature of the Ξ(1620) and Ξ(1690) states.

Published by the American Physical Society
2024
Reconstructing the general 2HDM charged Higgs boson at the LHC
Authors: Hou Wei-Shu , Krab Mohamed
Published: July 2024

We study the discovery prospects for a charged Higgs boson via the bg→cH−→ct¯b process at the Large Hadron Collider (LHC). Focusing on the general two Higgs doublet model (G2HDM) that possesses extra Yukawa couplings, the process is controlled by extra top couplings ρtc and ρtt, which can drive electroweak baryogenesis (EWBG) to account for the baryon asymmetry of the Universe (BAU). We propose benchmark points (BPs) and demonstrate that evidence could emerge at 14 TeV LHC and luminosity of 300  fb−1, with discovery potential at 600  fb−1.

Published by the American Physical Society
2024
Triple points of gravitational AdS solitons and black holes
Authors: Quijada Constanza , Anabalón Andrés , Mann Robert B. , Oliva Julio
Published: July 2024

We present a triple point of a new kind for general relativity, at which two gravitational solitons can coexist with a planar black hole in anti–de Sitter space. Working in the context of nonlinear electrodynamics, we obtain simple, sensible spacetimes for which the thermodynamics can be studied in an analytic manner. The spacetimes are charged under the nonlinear electrodynamics leading to an electric charge for black holes and a magnetic flux for solitons. In the grand-canonical ensemble, we show that the phase space of the theory is very rich, containing reentrant phase transitions, as well as triple points, for small values of the coupling controlling the nonlinearity of the electrodynamics Lagrangian.

Published by the American Physical Society
2024
Frustrating Quantum Batteries
Authors: Catalano A.G. , Giampaolo S.M. , Morsch O. , Giovannetti V. , Franchini F.
Published: July 2024

We propose to use a quantum spin chain as a device to store and release energy coherently and we investigate the interplay between its internal correlations and outside decoherence. We employ the quantum Ising chain in a transverse field and our charging protocol consists of a sudden global quantum quench in the external field to take the system out of equilibrium. Interactions with the environment and decoherence phenomena can dissipate part of the work that the chain can supply after being charged, measured by the ergotropy. We find that overall, the system shows remarkably better performance, in terms of resilience, charging time, and energy storage, when topological frustration is introduced by setting antiferromagnetic interactions with an odd number of sites and periodic boundary conditions. Moreover, we show that in a simple discharging protocol to an external spin, only the frustrated chain can transfer work and not just heat.

Published by the American Physical Society
2024
Diamond sensors for hard X-ray energy and position resolving measurements at the European XFEL
Authors: Çonka Yıldız Tuba , Freund Wolfgang , Liu Jia , Schreck Matthias , Khakhulin Dmitry , Yousef Hazem , Milne Christopher , Grünert Jan
Published: July 2024

The diagnostics of X-ray beam properties has a critical importance at the European X-ray Free-Electron Laser facility. Besides existing diagnostic components, utilization of a diamond sensor was proposed to achieve radiation-hard, non-invasive beam position and pulse energy measurements for hard X-rays. In particular, with very hard X-rays, diamond-based sensors become a useful complement to gas-based devices which lose sensitivity due to significantly reduced gas cross-sections. The measurements presented in this work were performed with diamond sensors consisting of an electronic-grade single-crystal chemical-vapor-deposition diamond with position-sensitive resistive electrodes in a duo-lateral configuration. The results show that the diamond sensor delivers pulse-resolved X-ray beam position data at 2.25 MHz with an uncertainty of less than 1% of the beam size. To our knowledge this is the first demonstration of pulse-resolved position measurements at the MHz rate using a transmissive diamond sensor at a free-electron laser facility. It can therefore be a valuable tool for X-ray free-electron lasers, especially for high-repetition-rate machines, enabling applications such as beam-based alignment and intra-pulse-train position feedback.
MuscleX: data analysis software for fiber diffraction patterns from muscle
Authors: Jiratrakanvong Jiranun , Shao Jinjian , Li Jiaqi , Menendez Alvarez Miguel , Li Xintian , Das Prajwal , Nikseresht Grant , Miskin Nikhil , Huo Ran , Nabon Jules , Leduc Tristan , Zhang Eric , Ma Weikang , Agam Gady , Irving Thomas C.
Published: July 2024

MuscleX is an integrated, open-source computer software suite for data reduction of X-ray fiber diffraction patterns from striated muscle and other fibrous systems. It is written in Python and runs on Linux, Microsoft Windows or macOS. Most modules can be run either from a graphical user interface or in a `headless mode' from the command line, suitable for incorporation into beamline control systems. Here, we provide an overview of the general structure of the MuscleX software package and describe the specific features of the individual modules as well as examples of applications.
Socially conscious investments: a structured literature review and prospective insights
Authors: Shah Avani , Unny Balakrishnan , Shome Samik
Published: July 2024

Purpose

This paper aims to conduct a systematic literature review of Socially Conscious Investment (SCI) articles published in premier journals. Its objective is to shed light on the publication trend, leading authors, journals, countries and themes in contemporary SCI research. The article also provides a conceptual model of SCI to enhance understanding of the knowledge structure and the future research direction.

Design/methodology/approach

A systematic review followed the PRISMA guidelines and encompasses 264 full-text articles indexed in A* and A category journals listed in ABDC is reviewed. The literature synthesis adopts the theories, contexts, characteristics and methodology (TCCM) framework.

Findings

The article has identified the research trends related to author impact, journal impact, article impact and the outcomes derived from the TCCM framework. Additionally, it highlights three key themes: Performance of SCI, Behavioural issues and SCI development literature.

Originality/value

The insight on various aspects of SCI was explored for a comprehensive understanding. The authors also developed a conceptual model for socially conscious investment.
How do online reviews moderate effects of country image on product image and purchase intention: cases of Korean and US products in Vietnam
Authors: Nguyen Ngoc Minh , Huong Giang Hoang , Vu Ngoc Thi Minh , Ta Son Anh
Published: July 2024

Purpose

This paper examines the moderating effects of online reviews on the relationship between country image, product image, and purchase intention of products from two developed countries in Vietnam.

Design/methodology/approach

This current research used a cross-sectional design. Data was collected via questionnaires, and 305 responses were left after refining. The collected data were analyzed using exploratory factor analysis, confirmatory factor analysis, structural equation modeling, and multi-group analysis methods.

Findings

Affective country images do not directly affect purchase intention when online review quality and positivity are high. Cognitive country images still directly affect purchase intention when online review positiveness is low. However, online review quantity does not moderate the effects of country images on product images and purchase intention.

Research limitations/implications

Cognitive country image consistently affects purchase intention through the central route independent of online reviews. In contrast, the affective country image will likely affect purchase intention through the peripheral route when online reviews are insufficient for customers.

Practical implications

Firms can mitigate the adverse effects of country image, especially cognitive country image, in foreign markets by improving online review quality and positiveness.

Originality/value

Our study extended existing literature by providing a better understanding of the nature of country image and the roles of country image dimensions in shaping product image and purchase intention in the context of the increasing popularity of online reviews.
The nexus of tax avoidance and firms characteristics – does board gender diversity have a role? Evidence from an emerging economy
Authors: Hossain Md Shamim , Islam Md Zahidul , Ali Md. Sobhan , Safiuddin Md. , Ling Chui Ching , Fung Chorng Yuan
Published: July 2024

Purpose

This study examines the moderating role of female directors on the relationship between the firms’ characteristics and tax avoidance in an emerging economy.

Design/methodology/approach

This study employs the second-generation unit root test and the generalised method of moments (GMM) techniques. The Kao residual cointegration test corroborates a long-run cointegration among variables.

Findings

Female directors demonstrate mixed and unusual findings. No significant impact of female directors on tax avoidance is found. In addition, the presence of female directors does not show any negative or significant moderating impacts on the relationship between leverage, firm age, board size and tax avoidance. However, having more female directors can negatively and significantly moderate the relationship between more profitable firms, larger firms and tax avoidance. These findings show that the board of directors could use the presence of female directors to maximise their opportunistic behaviour, such as to avoid tax.

Research limitations/implications

Research limitations – The study is limited by considering only 62 listed firms. The scope could be extended to include non-listed firms.

Practical implications

Research implications – There is increasing pressure for female directors on boards from diverse stakeholders, such as the European Commission, national governments, politicians, employer lobby groups, shareholders, and Fortune and Financial Times Stock Exchange (FTSE) rankings. This study provides input to decision-makers putting gender quota laws into practice. Our findings can help policy-makers adopt regulatory reforms to control tax avoidance practices and enhance organisational legitimacy. Policymakers can change their policy to include female directors up to the threshold suggested by the critical mass theory.

Originality/value

This is the first attempt in Bangladesh to explore the role of female directors in the relationship between the firms' characteristics and tax avoidance. The current study has significant ramifications for bringing gender diversity into practice as a component of good corporate governance.
Does a CEO from a reputable university create a better working environment? Evidence from Indonesia
Authors: Aini Siti Nur , Ningsih Sri , Harymawan Iman , Kartana I Wayan
Published: July 2024

Purpose

This study aims to investigate whether CEOs who graduated from prestigious universities can provide a better-quality working environment.

Design/methodology/approach

Using a sample of 1,877 observations from all companies listed on the Indonesia Stock Exchange from 2019–2021, this research employs logistic OLS and coarsened exact matching (CEM) analyses to ensure robust results.

Findings

This study revealed that companies with CEOs who are alumni of a reputable university provide a high-quality working environment. These results are robust using the coarsened exact matching (CEM). Additional analyses exploring subindicators of working environment quality revealed that CEOs who have received an education from a reputable university have a better understanding of the importance of continuous education and training.

Practical implications

The findings of this study can provide guidance for managers and decision-makers in managing human resources and the work environment more effectively. By understanding the impact of high-quality education on leadership abilities in creating a supportive work environment, companies can be more strategic in recruiting and developing their leaders.

Originality/value

This study provides a unique contribution by providing empirical data on the quality of the working environment in Indonesia, specifically focusing on the role of CEOs from a reputable university as policy-makers, which has not been extensively explored in previous research.
An application of machine learning to classify food waste interventions from a food supply chain perspective
Authors: Zou Qiongfang , Bezuidenhout Carel Nicolaas , Ishrat Imran
Published: July 2024

Purpose

The purpose of this paper is to demonstrate the efficacy of machine learning (ML) in managing natural language processing tasks, specifically by developing two ML models to systematically classify a substantial number of food waste interventions.

Design/methodology/approach

A literature review was undertaken to gather global food waste interventions. Subsequently, two ML models were designed and trained to classify these interventions into predefined supply chain-related groups and intervention types. To demonstrate the use of the models, a meta-analysis was performed to uncover patterns amongst the interventions.

Findings

The performance of the two classification models underscores the capabilities of ML in natural language processing, significantly enhancing the efficiency of text classification. This facilitated the rapid and effective classification of a large dataset consisting of 2,469 food waste interventions into six distinct types and assigning them to seven involved supply chain stakeholder groups. The meta-analysis reveals the most dominant intervention types and the strategies most widely adopted: 672 interventions are related to “Process and Operations Optimisation”, 457 to “Awareness and Behaviour Interventions” and 403 to “Technological and Engineering Solutions”. Prominent stakeholder groups, including “Processing and Manufacturing”, “Retail” “Government and Local Authorities” and “NGOs, Charitable Organisations and Research and Advocacy Groups”, are actively involved in over a thousand interventions each.

Originality/value

This study bridges a notable gap in food waste intervention research, a domain previously characterised by fragmentation and incomprehensive classification of the full range of interventions along the whole food supply chain. To the best of the authors’ knowledge, this is the first study to systematically classify a broad spectrum of food waste interventions while demonstrating ML capabilities. The study provides a clear, systematic framework for interventions to reduce food waste, offering valuable insight for practitioners in the food system, policymakers and consumers. Additionally, it lays the foundation for future in-depth research in the food waste reduction domain.
Speculation in investment in technology firms: a trust-based perspective
Authors: Rubin Eran , Iriberri Alicia , Ayaburi Emmanuel
Published: July 2024

Purpose

We analyze the role of trust as a driver of speculative investment decisions in technology firms.

Design/methodology/approach

Structural Equation Modeling analysis in the context of blockchain technology supports our hypotheses.

Findings

Our findings indicate that a general propensity to trust technology leads to trusting beliefs in a service based on technology and that trusting beliefs in a technological service leads to a higher propensity to invest in any firm associated with that service. In addition, we show that in a non-technological context, there is no evidence for such an effect of trusting beliefs in a service on investment decisions. These results support the notion that trusting beliefs are facilitators of speculative investment in technology firms.

Research limitations/implications

The research advances knowledge about the influence of trust in technology on investment decisions; its findings can help build new theoretical models regarding investment decisions using Fintech.

Practical implications

For investors, it is important to realize the potential bias identified in this study, so they can actively avoid adhering to it, thus avoiding exposure to unnecessary risk. Further, beyond individual investors, investment firms take active measures to avoid biases in their own decision-making. Banks and investment firms can help guide their clients about trust-based bias when building their investment portfolio.

Originality/value

Although trust in information systems has been studied extensively, research on the relationship between trust in technology and decisions to invest in technology-related firms is limited.
Development of assessment criteria for elderly lateral torso deformity for 3D scan anthropometry
Authors: Han Hyunsook , Park Sunmi
Published: July 2024

Purpose

We aimed to establish criteria for determining the deformed lateral torso type to identify individuals requiring measurement methods different from standard methods before extracting dimensions from three-dimensional (3D) scan data.

Design/methodology/approach

We collected the 3D body scan data of 119 women aged 70–85 years collected in the 6th Size Korea. Three axes were defined to determine the deformation of the lateral shape, and the angle of each reference axis was used for the analysis. Additionally, to classify the lateral torso shape, 14 experts made visual judgments on the side-view images of the participants.

Findings

To identify the axis that best represented the lateral torso shape, we used each angle value of the three reference axes as an independent variable and the expert’s visual classification as a dependent variable. Each discriminant function was obtained and accuracy calculated. The whole torso axis exhibited the highest accuracy. Next, an assessment scale was developed to determine the shape of the lateral torso using the angular value of the whole torso axis.

Originality/value

The scale developed in this study has the potential to reduce measurement errors arising from elderly deformed torso shapes, thereby enhancing data reliability.
Inclusive entrepreneurship ecosystem for PwDs: a reflection on SDGs
Authors: Malhotra Snigdha , Kaur Tavleen , Jain Kokil , Pandey Prashant Kumar , Sengupta Aniket
Published: July 2024

Purpose

People with disabilities (PwDs) encounter several impediments to employment prospects, contributing to India's huge employment gap. Entrepreneurship offers a different avenue for PwDs to overcome these constraints. Entrepreneurship Support Organizations (ESOs) play a significant role in assisting PwD entrepreneurs. The present study aims to explore challenges encountered by entrepreneurs with disabilities (EwDs) in starting or sustaining a business in an Indian ecosystem. The study further aims to examine the status of entrepreneurial outcomes while comprehending the intersection of the challenges of disability and entrepreneurship. The study draws on stakeholder and social identity theories to understand this critical connection.

Design/methodology/approach

A qualitative approach is applied to study the phenomenon. Semi-structured interviews were conducted with 13 EWDs and 5 ESOs to explore the challenges faced and the available support in the Indian context. The study explores the level of coordination and roles these organizations play in fostering an entrepreneurial culture for PWDs.

Findings

The research findings explore novel challenges and facilitators of entrepreneurial pursuits of EwDs. The study further offers implications for policymakers to foster inclusive infrastructure, financial institutions to provide accessible credit options, and ESOs to amplify tailored assistance. Importantly, these dynamics have implications for advancing relevant Sustainable Development Goals.

Originality/value

The intersectional lens of disability and entrepreneurial challenges offered to study PwD entrepreneurship highlights new directions for exploring the phenomenon in deeper detail. Further, the theoretical underpinnings of stakeholder and social identity theories provide practical and indispensable insights into the phenomenon.
Enhancing construction organizations’ performance through strategic decision-making: unveiling the mediating role of quality of information
Authors: Moshood Taofeeq Durojaye , Rotimi James O.B. , Shahzad Wajiha
Published: July 2024

Purpose

Formulating strategic decisions poses a significant challenge for construction organizations, profoundly impacting their overarching strategic management. The success of an organization’s strategy relies on how information is managed and decisions are executed. However, the literature has a limited understanding of the connection between information quality and strategic decision-making, particularly in construction business performance. This study aims to bridge this gap by exploring how information quality mediates the relationship between strategic decision-making and the performance of construction businesses in New Zealand.

Design/methodology/approach

This quantitative study aims to fill this gap by assessing how information quality shapes strategic decision-making practices, impacting construction organizations’ performance. Analysing 102 viable responses through partial least squares structural equation modeling structural equation modelling offers partial support to the research framework.

Findings

The study used statistical analysis to gauge the impact of adopting strategic management practices on construction business performance, considering the mediation of the quality of information within New Zealand’s context. It affirmed a positive correlation between strategic decision-making management and construction business performance, underpinned by the mediation of quality of information.

Practical implications

This study underscores the critical role of information quality in evaluating strategic decisions for bolstering construction business performance. In essence, it affirms that enhancing the performance of construction organizations via strategic decision-making is intrinsically linked to the quality of information.

Originality/value

This study makes a noteworthy contribution by establishing connections between decision importance, process effectiveness, information quality, intuition in decision-making and model development, providing valuable insights to the field.
The green Fintech paradox: understanding the dynamics of green brand positioning and user decision-making in the digital financial landscape
Authors: Ashrafi Dewan Mehrab , Akhter Mily
Published: July 2024

Purpose

The ever-evolving landscape of financial technology (Fintech) has revolutionised payment methods and raised questions about what drives user behaviour in adopting these innovative solutions. This study, using narrative transportation theory as an underpinning theory, aims to investigate into the dynamics of green user behaviour in adopting Fintech payments.

Design/methodology/approach

This study used a deductive approach, and with data obtained from 635 respondents through the purposive sampling technique, partial least squares structural equation modelling was employed to yield significant insights.

Findings

The study found a positive association between green brand positioning and product differentiation. However, it unexpectedly didn't impact user attitudes towards Fintech payments. Green brand image and perceived performance positively influenced product differentiation. Perceived product differentiation fully mediated the association between green brand positioning and user attitudes. The study introduced fear of missing out's (FOMO) moderating role, enriching eco-conscious marketing insights and user behaviour understanding.

Research limitations/implications

This study reveals crucial implications for marketers, policymakers and user experience (UX) designers operating within the Fintech industry. It emphasises green brand positioning's impact on product differentiation, user attitudes and its mediating role. It advocates for sustainability integration, innovation, strategic messaging and user-centric improvements to optimise user perceptions and competitiveness in the evolving Fintech landscape. The study's cross-sectional design may limit the ability to establish causal relationships over time and overlook temporal changes in green Fintech adoption dynamics; thus, longitudinal studies are warranted to better understand the evolving nature of user attitudes and behaviours towards green Fintech payments.

Originality/value

This study adds novelty to the existing body of literature by introducing the dimension of innovation appeal to green brand positioning and employing narrative transportation theory in the Fintech realm. The findings also add novelty by highlighting the moderating impact of fear of missing out in predicting the association between green brand positioning and product differentiation in the realm of green Fintech and green use behaviour.
Managing employees' needs and well-being in the post-COVID-19 era
Authors: Palmucci Dario Natale , Santoro Gabriele
Published: July 2024

Purpose

In the wake of the COVID-19 public health crisis, organizations have increasingly adopted new technologies and new working modalities (e.g. teleworking, smart working and remote working). However, these important changes led to increased work-related stress for employees who are not always able to cope with the actual intrusive digital professional reality. This work identifies the negative effects of technology and new work modalities on employees’ well-being. It suggests remedies based on real-life examples to meet employees’ emerging needs in the post-COVID-19 era.

Design/methodology/approach

Semi-structured interviews with a variety of workers in different organizational contexts and positions were used as support for our recommendations. In particular, we had representation from managers, human resource (HR) officers, employees, psychologists, consultants and coaches.

Findings

The paper identifies eight specific negative effects of technology and new work modalities, such as inability to cope with stress, negative physical consequences, smart working fatigue, breaking down of the boundaries between private and professional life, decrease in work-life balance, hyper-connection, psychological and psychosomatic symptoms and burnout syndrome. Moreover, the paper proposes timely remedies, including enhancing leaders’ awareness, the right to disconnect and rethinking HR policies.

Practical implications

It offers practical insights and encompasses views from various internal stakeholders (HR officers, senior managers, managers, subordinates and an organizational counselor) and external stakeholders (psychologists, consultants and coaches). The paper concludes with experience-based tips, highlighting the need for digital leadership to be able to both manage performance and guarantee people psychological safety at the same time. The remedies suggested are “ready-to-use” best practices to implement for safeguarding the health of employees.

Originality/value

This research is not only pertinent for managers grappling with these challenges in their everyday work but also valuable for scholars seeking to deepen their understanding of the topic through practice-based evidence. Furthermore, it significantly contributes to the literature as, while previous works have only analyzed findings singularly, this work is focused on the different perspectives of different internal and external stakeholders, offering a more comprehensive overview. Originality lies precisely in having taken into consideration the point of view of many actors with different roles and backgrounds.
A roadmap of retargeting campaigns for SMEs: a case study
Authors: Fallahi Daryakenari Niloofar , Jalilvand Mohammad Reza , Jafari Seyed Mohammadbagher
Published: July 2024

Purpose

Running advertising campaigns and attracting the traffic, as well as collecting information from users who have entered the website once, provides the conditions to perform retargeting campaigns and consequently increases website visit rates and sales. The purpose of this research is to design a roadmap of retargeting campaign for small and medium enterprises (SMEs), as well as to compare normal and retargeting advertising campaigns in order to confirm the effectiveness of retargeting campaigns.

Design/methodology/approach

A single-case-study strategy was adopted by choosing advertising Company-X to design the roadmap of retargeting campaigns and evaluate its effectiveness. Using a purposive sampling, semi-structured interviews were conducted with 14 experts of advertising Company-X. Furthermore, the documents and reports available in the company were also analyzed. Thematic analysis was employed to analyze the interviews and documents. Next, a one-way ANOVA test and a two-sample t-test were used to measure the effectiveness of retargeting campaigns of the Company-X compared to normal campaigns with secondary data of 22 SMEs for a six-month period.

Findings

The qualitative phase led to the presentation of a roadmap for the retargeting campaigns in three stages: preparation, process and implementation. The results of the quantitative phase revealed that the ratio of clicks to impressions (click-through rate) and the ratio of successful purchase tags to clicks (conversion rate) are much higher in the retargeting product campaign. Therefore, the performance of selected SMEs as an example in the product retargeting campaign was better than that of the non-retargeting campaigns. Also, the ratio of cost to the successful purchase tag was higher for the product retargeting campaigns.

Originality/value

This study contributes to the literature of retargeting. First, this study provides SMEs with a successful roadmap for retargeting campaigns. Second, this research reveals the effectiveness and mechanism of retargeting for SMEs.
Flow analysis of water conveying nanomaterials over a rotating surface with thermal radiation
Authors: Sharma Kushal , Vijay Neha , Duraihem Faisal Z. , Jindal Renu
Published: July 2024

Purpose

The present findings aim to investigate the thermal behavior of water-based nanofluid flow over a rotating surface, focusing on understanding the effects of different types of nanoparticles on thermal efficiency, considering thermal radiation and variable viscosity effects. By considering four distinct nanoparticles – silicon dioxide titanium dioxide, aluminum oxide and molybdenum disulfide – the study aims to provide insights into how nanoparticle addition influences heat production, thermal boundary layer thickness and overall thermal performance.

Design/methodology/approach

The study employs computational methods, utilizing the BVP mid-rich algorithm for the solution procedure. The computational approach allows for a detailed investigation of the thermal behavior of nanofluid flows across a rotating surface under varying conditions.

Findings

The study concludes that adding nanoparticles in the base liquid increases heat production in the system, resulting in enhanced thermal boundary layer thickness. The comparative analysis shows that different nanoparticle types exhibit varying effects on thermal efficiency, suggesting that careful selection of nanoparticles can optimize heat transport and thermal management processes. Moreover, there's a noteworthy uptrend in the radial velocity profile concerning the stretching parameter, whereas a converse trend is observed in the thermal profile.

Originality/value

This study contributes original insights by comprehensively investigating the thermal behavior of water-based hybrid nanofluid flow over a rotating surface.
Three approaches to interviews: tell me about you, them, “fictitious” others
Authors: Luke Belinda
Published: July 2024

Purpose

The purpose of this paper is to examine different approaches to framing interviews from the planning stage of interview design, drawing on Goffman’s (1974) notion of frame analysis.

Design/methodology/approach

Reflecting on previous studies the author has been involved with, in the context of accountability, three approaches to framing interviews are presented and discussed.

Findings

Framing interviews around the experience of interviewees, peers or fictitious yet familiar others provides three pathways to access interviewees’ insights, perspectives, knowledge and experience on issues relevant and familiar to them.

Research limitations/implications

The approaches to framing interviews detailed in the paper provide valuable alternatives to access interviewees’ personal insights based on their worlds and worldviews.

Originality/value

Consideration of interviews on accountability through the use of framing and frame analysis provides novel, strategic perspectives on interview design.
Political culture and the resource curse: public sector corruption across the United States
Authors: Mentzer Marc S.
Published: July 2024

Purpose

This study aims to examine the connection between political culture and public sector corruption, using the typology of Daniel Elazar, whose model traces the types of political cultures to their origins in various regions of England. Similarly, the “resource curse” concept, generally treated as a national-level phenomenon, is examined to assess how it might vary among jurisdictions within a country.

Design/methodology/approach

Regression analysis was applied to data from the 50 states of the US. Public sector corruption in each state was operationalized as the number of convictions by the Public Integrity Section of the US Department of Justice in relation to the number of public sector employees in that state.

Findings

Among the 50 states of the US, support was found for the association between political culture and public sector corruption. On the other hand, whether a state’s economy was dominated by natural resource extraction was not related to public sector corruption. This latter finding suggests the “resource curse” phenomenon does not cause corruption to be worse in states with resource-dependent economies.

Research limitations/implications

Although it is appropriate to apply regression analysis to a data set of the 50 US states, the small size of the data set limited the number of predictor variables that could be examined. Alternative research approaches are discussed, and it is conceivable that another analytical technique might have revealed other predictors that affect the occurrence of corruption.

Originality/value

While numerous studies have examined the impact of political culture and resource orientation on corruption at the national level, the current study examines how these variables affect corruption at the level of subnational jurisdictions within a major developed country, the United States.
Investigation of the impacts of the deployment of autonomous vehicles on first responders
Authors: Almaskati Deema , Pamidimukkala Apurva , Kermanshachi Sharareh , Rosenberger Jay , Foss Ann
Published: July 2024

Purpose

The purpose of this study is to address the significant impact AVs will have on public services and the ability of first responders to conduct their jobs safely and effectively. Autonomous vehicles (AVs) are expected to drastically change the transportation industry, and it is vital that first responders be equipped to integrate them into their occupational responsibilities.

Design/methodology/approach

A systematic literature review was conducted, and following a multistep exclusion process, 161 articles were selected for detailed review. The impacts of AVs on first responders were identified, classified and categorized into lists of challenges and opportunities. Based on the findings of the literature review, a SWOT (strengths, weaknesses, opportunities and threats) analysis was conducted, and stakeholder management strategies were designed.

Findings

Through the examination of the impacts of AVs on first responders, 17 identified challenges and opportunities were classified into the following categories: AV-related emergency response and training, perceptions and acceptance of AVs, technology development and laws and regulations. The study revealed that the optimal benefits of AVs would require stakeholders to focus more on how they interact with first responders; thus, 14 stakeholder management strategies were identified. First responders, AV manufacturers, legislators and future research paths will all benefit from this study, as it can facilitate smooth interactions between AVs and first responders.

Originality/value

A range of studies have been published on the safety of AVs and the public’s perceptions of this new technology; however, the integration of AVs and their interactions with first responders has been neglected. The goal of this study was to fill that research gap by providing a thorough synthesis of autonomous driving systems in the context of their interactions with first responders.
Dual nationality, anti‐citizenship, and xeno‐racism: Online tropes on migrant (in)gratitude, and (in)adequate Britishness of Nazanin Zaghari‐Ratcliffe
Authors: Rahbari Ladan , Karch Julian D.
Published: July 2024

Nazanin Zaghari‐Ratcliffe, an Iranian‐British dual citizen, was detained by the Iranian state from April 2016 to March 2022 and charged with spying and propaganda activities against the Iranian state without due process. After her release and return to the UK, Zaghari‐Ratcliffe criticized the UK government in a press conference, which triggered a Twitter campaign using the hashtags “sendherback” and “ungrateful.” This campaign claimed that she did not show “enough gratitude” to Britain, the country that “saved” her. In this paper, we investigate the content of the Twitter campaign. Using the concept of anti‐citizenship, we focus on xeno‐racist discourses around Zaghari‐Ratcliffe's dual nationality and how her belonging in Britain is challenged. We explore the role Zaghari‐Ratcliffe's Iranian background plays in how her Britishness is rendered suspect, which then enables the racialized tropes in the #sendherback campaign.