bluuebunny/crossref_metadata_2025_split huggingface dataset:
Enhancing charge ratio sensitivity to hadronization effects via jet selections on resolved SoftDrop splitting
Authors: Apolinário Liliana , Madureira Nuno Olavo , Elayavalli Raghav Kunnawalkam 
Published: February 2025

The study of quantum chromodynamics (QCD) at ultrarelativistic energies can be performed in a controlled environment through lepton-hadron deep inelastic scatterings. In such collisions, the high-energy partonic emissions that follow from the ejected hard partons are accurately described by perturbative QCD. However, the lower energy scales at which quarks and gluons experience color confinement, i.e., hadronization mechanism, fall outside the validity regions for perturbative calculations, requiring phenomenological models tuned to data to describe it. As such, hadronization physics cannot be currently derived from first principles alone. Monte Carlo event generators are useful tools to describe these processes as they simulate both the perturbative and the nonperturbative interactions, with model-dependent energy scales that control parton dynamics. This work employs jets—experimental reconstructions of final-state particles likely to have a common partonic origin—to inspect this transition further. Although originally proposed to circumvent hadronization effects, we show that jets can be utilized as probes of nonperturbative phenomena via their substructure. The charge correlation ratio was recently shown to be sensitive to hadronization effects. Our work further improves this sensitivity to nonperturbative scales by introducing a new selection based on the relative placement of the within the clustering tree, defined as the unclustering that resolves the jet’s leading charged particles.

Published by the American Physical Society
2025
Transformative impacts of technological developments on architectural education: a holistic scientometric analysis
Authors: Kose Irem , Gumusburun Ayalp Gulden 
Published: February 2025

PurposeThis study aims to outline the transformative impacts of technological developments (TD) on architectural education (AE). The focus is on studying the dynamics of convergence and erosion, aiming to understand the impact of current digital transformations such as the COVID-19 pandemic, sustainability considerations and technology integration on AE.Design/methodology/approachA scientometric analysis and bibliometric search were performed to understand the current knowledge in the field. The Web of Science (WoS) was selected for its comprehensive collection of significant research articles and integrated analytical tools for generating representative data. The study involved an extensive bibliometric analysis of 131 journal articles on TD in AE from 2000 to 2023. Subsequently, the VOSviewer software was employed to illuminate the transformative impacts of technological advancements on AE. Robust methodologies, including citation analysis and co-citation networks, unravel quantitative dimensions such as publication trends, influential authors, prolific journals, geographic distribution and prevalent themes or technological domains within the discourse.FindingsThe findings reveal significant evolution in AE due to TD, with notable shifts influenced by factors such as the COVID-19 pandemic, sustainability concerns and the integration of modern technologies. Key findings include the increasing adoption of online platforms and technologies like Building Information Modeling (BIM), the crucial role of design thinking methodologies and the recognition of innovative modules such as architectural photogrammetry and augmented reality (AR) applications. Furthermore, keyword clusters were classified into six groups: “AE pedagogy and curriculum development,” “Development of architectural design process and studio,” “Educational approaches and digitalization in architectural design,” “Transition to online AE,” “Development/emergence of photogrammetry at architectural education” and “use of AR.”Originality/valueAlthough several studies have addressed TD in AE from various perspectives and methods, they have yet to investigate the subject using scientometric analysis from a holistic perspective. A holistic exploration of TD in AE still needs to be improved in the existing literature. In contrast to previous investigations, this study is the first to leverage the quantitative analytical capabilities of VOSviewer. The originality lies in uncovering quantitative dimensions such as publication trends, influential authors and prevalent themes, providing a comprehensive understanding of the nuanced dimensions of this evolving intersection.
Gender, sexual orientation and the pay gap: an analysis in light of homophobia and gender stereotypes
Authors: Coron Clotilde 
Published: February 2025

PurposePrevious research has measured wage inequalities based on gender and sexual orientation. However, although sexism and homophobia form the backdrop of these studies, no research has measured the role played by gender stereotypes and homophobia on the national level in these wage disparities. Most studies have been conducted in single countries, which prevents researchers from considering the effects of national values (such as gender stereotypes and homophobia) on wages. This article aims to bridge these gaps by studying wage differentials according to gender and sexual orientation across 25 European countries characterised by various levels of homophobia and gender stereotypes.Design/methodology/approachThis study uses two data sources, namely the EWCS and EVS surveys, to measure wage inequalities according to gender and sexual orientation in European countries characterised by different levels of gender stereotypes and homophobia. The analysis is mostly based on multilevel modelling.FindingsOur findings shows that in Europe, among partnered individuals, after controlling for individual variables, lesbian women earn more than heterosexual women but less than gay men who themselves receive less salary than heterosexual men. The gender pay gap is lower among lesbians and gays than among heterosexual individuals. Once national variables are added with interaction effects with sexual orientation, lesbian women seem to be the category for whom the wage increases related to living in non-homophobic countries are the highest.Originality/valueThis article is the first to measure the role played by national gender ideology and homophobia in wage inequalities according to gender and sexual orientation.
The nexus of urbanization and renewable energy productivity: implications for sustainable development in developing Asia nations
Authors: Aggarwal Shruti , Mahalik Mantu Kumar 
Published: February 2025

Purpose
This study aims to examine the impact of urbanization and renewable energy productivity on sustainable development in developing Asia economies. Moreover, it investigates the potential of sustainable urbanization in these economies through the lens of renewable energy productivity.

Design/methodology/approach
Using a balanced panel data set of 20 developing Asian economies from 2000 to 2020, this study uses the sustainable development goals score as the dependent variable. Principal explanatory variables include urban population and renewable energy productivity, with globalization and government expenditure as control variables in sustainable development function. This study uses diagnostic tests such as cross-sectional dependence, unit-root test and cointegration to ensure robustness. For the empirical analysis, the pooled mean group autoregressive distributed lag estimation technique is used for both long- and short-run dynamics, supplemented by the panel-corrected standard errors and feasible generalized least squares methods for the robustness check.

Findings
The long-run results indicate that urbanization and renewable energy productivity significantly enhance sustainable development. This study also identifies globalization and government expenditure as significant drivers of sustainable development. The long-run results further identify the potential moderating role of renewable energy productivity, thereby helping urbanization in stimulating sustainable development. This study recommends developing policies that promote sustainable urban infrastructure, such as energy-efficient buildings and smart cities, while investing in renewable energy technologies and systems to enhance their integration into urban development plans and maintain sustainable development.

Originality/value
This study contributes to the literature by highlighting the nuanced impact of renewable energy productivity on sustainable development in the context of urbanization. It underscores the synergistic benefits of aligning urban growth with renewable energy initiatives, suggesting strategic fiscal policies and international cooperation as essential components for advancing sustainable development in developing Asian economies.
Key drivers for the incorporation of artificial intelligence in humanitarian supply chain management
Authors: Karuppiah Koppiahraj , Kandasamy Jayakrishna , Rocha-Lona Luis , Sánchez Christian Muñoz , Joshi Rohit 
Published: February 2025

PurposeHumanitarian supply chain management (HSCM), operating in a complex environment, needs to be agile and robust. The advent of digital technologies has revolutionized HSCM operations, and thus, this study identifies and evaluates key drivers of artificial intelligence (AI) incorporation in HSCM.Design/methodology/approachIn total, 20 key drivers were identified through a review of the relevant extant literature and finalized with experts’ inputs using a Likert scale survey. With a Kappa analysis, these drivers were classified into four groups: technical (T), organization (O), human (H) and institution (I). An integrated multi-criteria decision-making (MCDM) method of the Fermatean fuzzy set (FFS) analytic hierarchy process (AHP) and Decision-Making Trial and Evaluation Laboratory (DEMATEL) was used to rank the key drivers and explore their causal interrelationships.FindingsImproved performance output, organizational preparedness, user acceptance and continued support, guarantee of job security for technologically semi-skilled workers and government support are the five key drivers of AI incorporation in HSCM.Originality/valueThis study evaluates the key drivers of AI integration in HSCM with FFS-AHP-DEMATEL.
Exploring Hong Kong public attitudes and concerns about traditional Chinese medical treatments: a study on discussion forum responses
Authors: Law Monica , Ho Kin-Hon , Cui Xiling 
Published: February 2025

Purpose
This study aims to analyze online responses to gain insights into public attitudes and concerns regarding traditional Chinese medicine (TCM) among Hong Kong residents. By addressing gaps in understanding public sentiment, this study contributes to the development of effective health-care policies.

Design/methodology/approach
Responses were collected from Baby-Kingdom.com using Python, gathering 17,568 TCM-related comments from 2016 to 2023. Analysis involved an eight-theme codebook and sentiment and semantic network analyses with DiVoMiner.

Findings
Most responses expressed positive sentiments and attitudes toward TCM. The analysis revealed recurring topics related to conditioning and specific diseases, including gynecological problems. Clinic service quality, fair pricing and convenient locations were also highlighted.

Research limitations/implications
This study examines the networked public sphere and the Theory of Planned Behavior regarding TCM, emphasizing online forums’ impact on attitudes and highlighting gaps in service access, using big data and an interdisciplinary approach.

Practical implications
The findings of this study from Baby-Kingdom.com emphasize the need to improve the accessibility of TCM-related discussions. An official platform for professionals is proposed, with government support for reliable information and partnerships with local universities to expand services.

Originality/value
This study provides valuable insights into the popularity of TCM in Hong Kong, which may encourage uptake and use of TCM services in the health-care sector in not only Hong Kong but also the Greater Bay Area, China and potentially other countries in the future.
Banking and financial regulation in Sub-Saharan Africa: a systematic literature review and multiple regression approach
Authors: Akinbowale Oluwatoyin Esther , Zerihun Mulatu Fekadu , Mashigo Polly 
Published: February 2025

Purpose
A functional financial sector is a major driver of economic development. The purpose of this paper is to provide a comprehensive understanding of existing research findings, gaps in knowledge and emerging trends in the field of banking and finance.

Design/methodology/approach
By conducting a systematic literature review, a total of 98 peer-reviewed articles whose focus and relevance match with the subject matter were reviewed and synthesised to answer the research questions. Multiple regression was also carried to investigate the relationship amongst the identified probable factors affecting financial inclusions.

Findings
The outcome of this study highlighted some factors mitigating the growth of the banking sector in the Sub-Saharan Africa (SSA). These include excessive or stringent regulations, market segmentation, high interest rates, information asymmetry, low credit status and uneven distribution of credit amongst others.

Practical implications
Some of the policy recommendations that could aid the development of the banking sector in SSA include: development and deepening of interbank markets, financial inclusion, improvement of overall market efficiency through redistribution of liquidity within the banking system, improvement of price and encouragement of competition. This study recommends financial inclusion by formulating policies that balances the capital adequacy requirements with the risk of insolvency to ensure credit flows and promotes financial stability via effective operations financial institutions.

Originality/value
This study contributes valuable insights to the understanding of banking and financial regulations in SSA, informing both academic research and policy development in the region.
Cryptocurrency bubbles, information asymmetry and noise trading
Authors: Alfieri Elise , Burlacu Radu , Enjolras Geoffroy 
Published: February 2025

PurposeThis paper examines the relationship between the degree of information asymmetry among investors and the occurrence of bubbles in cryptocurrency markets.Design/methodology/approachThe study applies the Philipps, Shi and Yu (PSY) methodology to identify bubbles in 74 cryptocurrencies from July 2014 to April 2021.FindingsThe findings indicate that there is a negative relationship between the degree of information asymmetry among investors and the number and duration of bubbles across cryptocurrencies.Originality/valueThis finding supports the riding-bubble argument of Asako et al. (2020), which suggests that when the information asymmetry among investors is high, rational investors are less certain about what irrational, inexperienced investors might decide. This strategic uncertainty leads rational investors to close out their positions more quickly, resulting in a shorter duration of the bubble and a reduced propensity for new bubbles to emerge. The study’s findings hold regardless of the proxies used to measure information asymmetry and noise trading, cryptocurrency characteristics and regression model specifications.
AI humanoids as moral agents and legal entities: a study on the human–robot dynamics
Authors: Kumar Shailendra , Choudhury Sanghamitra 
Published: February 2025

Purpose
This manuscript attempts to provide answers regarding questions such as whether or not it is legitimate to describe and characterise humanoid robots as legal entities and individuals. The purpose of this paper is an attempt to answer this question using philosophical principles.

Design/methodology/approach
This manuscript uses text analysis to investigate answers to this question by examining thoughts put forth by respected theorists, classical philosophers, and psychologists.

Findings
The text dives further into the concept that artificial intelligence (AI) systems deserve to have their own unique identities, highlighting the significance of building a relationship with them that is meaningful. This is due to the fact that, just as every star in the sky at night radiates with its own special brightness, our AI counterparts should likewise vibrate with individuality. This will allow them to build connections that shed light on the human experience that we all share.

Originality/value
The purpose of this study is to demonstrate that AI robots are not only lifeless things but rather the result of humans directing their psychological resources into something significant. This is a significant and innovative endeavour. This activity is noteworthy because it extends beyond individuals’ immediate surroundings.
Good news or bad news? Cross-border mergers and acquisitions by politically connected emerging market firms
Authors: Li Xiaoyuan , Lee Eunmi Tatum 
Published: February 2025

PurposeWe evaluate the effect of political connections on the stock valuation of emerging market firms following the announcement of cross-border mergers and acquisitions (M&As). We further analyze the moderating roles of home and host market environments.Design/methodology/approachOur analysis of 361 Chinese cross-border M&A transactions during 2014–2018 employs an event-study methodology to assess the cumulative abnormal return (CAR) for acquirers. To test our hypotheses, we utilize a multiple regression model.FindingsPolitically connected firms experience a decrease in firm value following the announcement of cross-border M&As. However, this negative effect is weakened when the firm’s home region is more market-oriented, reflected by economic activity driven primarily by market mechanisms rather than government intervention. In contrast, the negative effect is strengthened when the host country exhibits higher governance quality, characterized by sound legal structures, labor regulations and developed capital markets.Originality/valueExtending beyond previous studies on cross-border M&A performance, we analyze firm value based on signaling theory. Our findings reveal that market investors view cross-border M&As undertaken by politically connected firms from emerging economies with caution, resulting in a decline in acquirer value. Moreover, investors react more positively to cross-border M&As by politically connected acquirers in truly market-based regions. Conversely, investors expect that politically connected acquirers would encounter additional hurdles when executing cross-border M&As if the host country has high-quality governance.
Brand engagement in omnichannel banking services: a cross-cultural approximation
Authors: Peña García Nathalie , Losada-Otálora Mauricio , Siqueira Jose Ribamar 
Published: February 2025

PurposeThis study aims to comprehend the impact of omnichannel strategies and customer experience on brand engagement in the banking sector.Design/methodology/approachThe self-determination theory (SDT) is applied to validate its effects on omnichannel perception, customer experience and brand engagement. A quantitative research approach was employed to gather comprehensive insights, using a structured questionnaire to survey 2029 bank users in five countries: Argentina, Brazil, Spain, Mexico and the United States.FindingsResearch confirms the positive impact of omnichannel perception and customer experience on brand engagement. Noteworthy patterns between Brazil and Argentina reveal similarities in brand engagement behavior, with Brazil standing out as a performer.Originality/valueThe study emphasizes the critical importance of integrating multiple channels to optimize user experience and increase brand engagement in the banking sector. The application of SDT provides a valuable framework for understanding the motivational factors influencing consumer behavior in omnichannel environments, contributing to the originality of the research.
Do environmental disclosures act as a safety belt for mitigating financial distress? Investigating moderating roles of corporate and national governance
Authors: Arora Akshita , Singh Kuldeep 
Published: February 2025

PurposeThe objectives of the study are threefold. The primary objective is to examine the impact of environmental disclosures (ED) on financial distress (FD) situation of the companies. The second objective is to investigate the impact of internal (corporate governance score) and external governance (national governance index) structure on FD. And third is to examine the ED–FD nexus with the interaction of both governance structures.Design/methodology/approachUsing eight years of panel data for the 254 non-financial companies, and applying two-way fixed effects models, we arrive at our statistical estimates.FindingsThe results indicate that an increase in ED scores reduces FD. While corporate governance is insignificant to FD, national governance is effective in reducing FD. Interestingly, corporate governance negatively moderates the linkages between ED and FD, while national governance does not exhibit any such interaction effects.Originality/valueWe contribute to the existing literature by being the pioneer study to test the relationship between ED and FD for a sample of Indian companies and that too, with the moderation of internal and external governance structures.
Endless scrolling through social media and work boredom: a dynamic spillover of information overload
Authors: Bhowmik Tathagata 
Published: February 2025

Purpose
Based on the premise that young adults, as knowledge workers, are overstimulated by a constant bombardment of information from digital channels like social media, this paper aims to explore how the information overload, largely redundant and noisy, extracts cognitive resources from the workers without providing meaningful interaction, resulting in an aversive state of boredom characterized by a desire to engage in any meaningful activity but an inability to do so, both in their private and organizational lives.

Design/methodology/approach
A review of the literature on boredom, focusing on the meaning and attention components (MAC) model of boredom is conducted to explain the phenomenon. This is followed by an exploration of information overload and the proposal of a dynamic spillover of boredom from the nonwork domains of workers to their organizational lives by integrating literature on work/life boundary spillover mechanisms.

Findings
The propositions suggest that overstimulation and boredom are carried into their organizations by the workers.

Research limitations/implications
The moderating effects of personality traits and organizational contexts like culture and digital infrastructure, which are outside the scope of this paper, can inform future research.

Practical implications
The perilous ramifications of this spillover on both workers and their organizations are discussed, along with strategies for how organizations can help workers find meaning and purpose in their workspaces to reduce their propensity for boredom.

Originality/value
This paper addresses and extends the limited research on the effects of information overload from social media on the organizational lives of knowledge workers.