bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analyzing public discourse on DeFi and CBDC using advanced NLP techniques: insights for financial policy and innovation
Authors: Alamsyah Andry , Astuti Raras Fitriyani 
Published: February 2025

Purpose
This study aims to analyze public discourse on decentralized finance (DeFi) and central bank digital currencies (CBDC) using advanced natural language processing (NLP) techniques to uncover key insights that can guide financial policy and innovation. This research seeks to fill the gap in the existing literature by applying state-of-the-art NLP models like BERT and RoBERTa to understand the evolving online discourse around DeFi and CBDC.

Design/methodology/approach
This study uses a multilabel classification using BERT and RoBERTa models alongside BERTopic for topic modeling. Data is collected from social media platforms, including Twitter and LinkedIn, as well as relevant documents, to analyze public sentiment and discourse. Model performance is evaluated based on accuracy, precision, recall and F1-scores.

Findings
RoBERTa outperforms BERT in classification accuracy and precision across all metrics, making it more effective in categorizing public discourse on DeFi and CBDC. BERTopic identifies five key topics frequently discussed, such as financial inclusion, competition and growth in DeFi, with important implications for policymakers.

Practical implications
The insights derived from this study provide valuable information for financial regulators and policymakers to develop more informed, data-driven strategies for implementing and regulating DeFi and CBDC. Public discourse analysis enables policymakers to understand emerging concerns and trends critical for crafting effective financial policies.

Originality/value
This study is among the first to use advanced NLP models, including RoBERTa and BERTopic, to analyze public discourse on DeFi and CBDC. It offers novel insights into the potential challenges and opportunities these innovations present. It contributes to the growing body of research on the intersection of digital financial technologies and public sentiment.
Energy efficiency assessment in CPTPP countries through the three-stage SBM-DEA model
Authors: Tran Mai Ngoc 
Published: February 2025

Purpose
The purpose of this study is to evaluate and address the energy efficiency prevalent within the Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP) countries, a diverse group that constitutes a significant portion of the global gross domestic product. By assessing energy efficiency, the study aims to inform strategies that foster sustainable economic growth and environmental sustainability within these nations.

Design/methodology/approach
This research uses a three-stage slacks-based measure data envelopment analysis (SBM-DEA) model, enhanced by stochastic frontier analysis (SFA), to assess the energy efficiency of CPTPP countries over the period from 2000 to 2015. The three-stage SBM-DEA model allows for a comprehensive analysis by first measuring energy efficiency, then adjusting for external environmental factors and statistical noise through SFA, and finally, reevaluating efficiency with adjusted inputs.

Findings
The analysis reveals significant disparities in energy efficiency among CPTPP nations, identifying both high-performing countries and those needing considerable improvements. Developed countries within the CPTPP generally exhibit higher energy efficiency levels, which can be attributed to their adoption of advanced technologies and strong policy frameworks. In contrast, developing nations demonstrate greater vulnerability to external environmental factors affecting their energy efficiency.

Originality/value
The research fills a gap in the literature by providing a nuanced and comprehensive evaluation of energy efficiency across a significant and economically diverse group of nations, offering valuable insights for sustainable development within the CPTPP framework.
An empirical investigation of the impact of lean manufacturing practices on corporate social performance: a sociotechnical perspective
Authors: Zaidi Ali , Lakhal Lassaad 
Published: February 2025

PurposeThe purpose of this paper is to investigate the unique and interactive effects of hard lean practices (HLPs) and soft lean practices (SLPs) on corporate social performance (CSP), as well as the moderating effect of lean maturity on the relationships between each type of practices and CSP.Design/methodology/approachAdopting a purely quantitative approach, a survey-based questionnaire methodology was used as a tool to collect data from 127 manufacturing companies located in Tunisia, and a Partial Least Squares Structural Equation Modeling (PLS-SEM) approach was employed to analyze the collected data and validate the research hypotheses.FindingsThe study findings indicate that, firstly, HLPs negatively affect CSP; secondly, SLPs positively influence CSP; and thirdly, the interaction effect of HLPs and SLPs is negative regarding CSP. Additionally, the moderating effect of lean maturity on the relationship between HLPs, SLPs and CSP was found to be insignificant.Research limitations/implicationsThis study is limited to manufacturing companies in Tunisia, and its results cannot reflect other geographical contexts.Practical implicationsThe current research provides valuable insights for practitioners by showing the importance of SLPs, in particular, in enhancing CSP.Originality/valueThis research provides new insights into the various findings and conclusions reached by previous studies in the literature regarding the impact of lean manufacturing practices on CSP by highlighting the unique and interactive effect of HLPs and SLPs on CSP.
A framework of motivations that drive communicative resistance and cooperation in interviews: perspectives from the field
Authors: Brimbal Laure , Meissner Christian A. , Kleinman Steven M. , Martinez Kevin D. , Doyle Madison K. , Quinby Elizabeth A. , Perry Alexander D. , Mindthoff Amelia 
Published: February 2025

Purpose
This study aims to investigate suspects underlying motivations to resist cooperation during investigative interviews. The authors propose a tripartite framework (i.e. concerns for identity, relational and instrumental reasons) for understanding motivations to resist, tested through three qualitative studies.

Design/methodology/approach
The authors coded semi-structured debriefs about investigators’ experiences with communicative resistance throughout their careers (n = 40; Study 1), with particularly resistant suspects (n = 18; Study 2) and with both investigators and their suspects (n = 11; Study 3). Coders identified examples illustrative of subcategories within the framework.

Findings
The authors found that both investigators and suspects cite various motivations to resist. The participants also highlighted the importance of considering these motivations when devising how to mitigate resistance within an investigative interview.

Originality/value
This research examines the understudied topic of communicative resistance and begins to examine motivations that might underlie the phenomenon. Eliciting and understanding suspects’ resistance motivations should be an important component of mitigating resistance using a rapport-based model.
Domestic violence and the spatial-moral order of home in calls to police
Authors: Tennent Emma , Richardson Emma 
Published: February 2025

Purpose
Domestic violence is a global problem that reached new visibility during the COVID-19 pandemic. Lockdowns were predicated on the idea of home as a site of safety. Yet for many people, home is a site of violence and abuse. This study aims to document how lockdowns provided a new form of spatial-moral order where previously ordinary activities of coming or going from home took on new moral meanings.

Design/methodology/approach
This paper uses discursive psychology and conversation analysis to examine calls to police about violence made during lockdown. The data are 200 calls to emergency and non-emergency police lines in New Zealand and the United Kingdom. We analyse how callers describe movements to and from home as policeable matters and how call-takers respond to those descriptions.

Findings
Callers described others’ behaviours as transgressions of the spatial-moral order of lockdown. Call-takers responded in different ways that configured lockdown breaches as either relevant policeable problems or as matters of personal responsibility. Descriptions which cast the problem as “live” occasioned a police response, while those that did not convey the same urgency were met with advice to resolve the matter locally.

Originality/value
Examining interactions between callers and call-takers provides unique insights into how movement to and from home was understood as possibly policeable during lockdown. Our interactional approach highlights how understandings of “criminal behaviour” are accomplished and negotiated in real-life encounters. We also uniquely illustrate callers’ fears from their own perspective and how these are met with different institutional responses.
Game-based learning for cybersecurity: enterprise implications from testing competing theories involving immersion, cognitive load and autonomy
Authors: Rajendran Dixon Prem Daniel , Rangaraja Sundarraj P 
Published: February 2025

PurposeIn this paper, we propose and test a conceptual model of how the psychological constructs of immersion, cognitive load (CL) and perceived autonomy (PA) relate to the performance of users at cybersecurity games.Design/methodology/approachWe test the proposed model through an experimental study of 208 participants who play a cybersecurity game and answer a survey. We use structural equation modeling to test our hypotheses and further compute Shapley values to assess the contribution of each construct to game outcomes.FindingsResults reveal that immersion is an important explanator of CL, PA and outcome. Additionally, our statistical tests show how the inclusion of CL in the conceptual model brings out the relation between autonomy and game-outcome.Originality/valueThis study combines constructs stemming from different theories to propose a conceptual model that better explains game performance. The findings will help enhance learner engagement and motivation. In turn, this can potentially add value to designing cost-effective training methods that can address the growing range of cybersecurity issues in enterprises.
The impact of lean inventory management on ESG performance
Authors: Wang Jingbin , Zhang Yongkang , Yao Xinyan , Zhu Xuechang 
Published: February 2025

PurposeThis study investigates the nonlinear relationship between inventory leanness and ESG (environmental, social and governance) performance, exploring how market concentration and digital transformation moderate this connection in manufacturing enterprises.Design/methodology/approachUsing a large panel data collected from Chinese listed manufacturing enterprises over the period from 2012 to 2021, this research employs the instrumental variable method combined with two-stage least squares estimators to explore the U-shaped relationship between inventory leanness and ESG performance. Furthermore, the moderating roles of market concentration and digital transformation are demonstrated.FindingsThe results reveal an inverted U-shaped relationship between inventory leanness and ESG performance, indicating that moderate lean inventory management enhances ESG outcomes, but excessive reduction hinders them. Additionally, market concentration and digital transformation positively moderate this relationship, suggesting that competitive market conditions and technological advancement mitigate the adverse effects of overly lean inventories.Practical implicationsManagers are advised to balance inventory management with market dynamics and embrace digital transformation to optimize ESG performance. Policymakers can leverage these insights to guide firms in sustainable inventory practices.Originality/valueThis study contributes to the literature by unveiling the nonlinear dynamics between inventory leanness and ESG performance and highlighting the moderating roles of market concentration and digital transformation.
Workplace learning in mentoring (WPLM): a scale development and validation study
Authors: Ghosh Rajashi , Manongsong Ague Mae 
Published: February 2025

Purpose
There is a lack of application of the adult learning theories as a framework to explore how mentors can encourage mentees to practice different workplace learning approaches. The purpose of this study is to construct and present evidence for the validity and reliability of a scale termed workplace learning in mentoring (WPLM).

Design/methodology/approach
Study 1 generated items for the WPLM through multiple phases, including input from graduate students (n = 132) and subject matter experts (n = 15). Study 2 focused on validating the scale using exploratory and confirmatory factor analyses to establish a final factor structure. A series of validation analyses (predictive, convergent and discriminatory) were conducted using regression, correlations and structural equation modeling (Sample 1 = 379; Sample 2 = 212).

Findings
In Study 1, the authors generated items and examined content validity, resulting in a four-factor, 20-item scale. Study 2 refined the final WPLM scale to three factors with 15 items. Validation analyses indicated that the WPLM had strong predictive, convergent and discriminatory validity. Specifically, it significantly predicted mentoring satisfaction and quality, converged with traditional, relational and negative mentorship constructs, and was distinct from relationship and personal learning in mentoring.

Research limitations/implications
While this study advances the understanding of WPLM, future research should explore more diverse samples, as the participants were predominantly Caucasian from the global north. Further research should also examine the role of specific work contexts and how mentors create conditions for different learning approaches.

Originality/value
This study highlights the importance of mentors’ role in encouraging learning as an organizational outcome that enriches employees by enhancing their knowledge, skills and abilities.
The transition of leadership via accounting practices: the case of a Chinese entrepreneurial firm
Authors: Li Jiafan , Smith Julia A. 
Published: February 2025

Purpose
Accounting changes that take place in the context of different leadership styles, especially in SMEs, require further investigation. This paper aims to explore how accounting enhances monitoring and control for legalistic leaders and how accounting changes facilitate leadership transition to resolve accounting issues and emotional conflicts within entrepreneurial firms.

Design/methodology/approach
This paper adopts a case study in a Chinese entrepreneurial firm to explore the relationship between accounting changes and leadership behaviours rooted in the traditional Chinese philosophies.

Findings
Legalistic leaders enhance monitoring and control, through the flow and interpretation of accounting information, to retain power. However, rule-based accounting order, with rewards and punishment, may create emotional conflicts. The difficulties of implementing accounting changes facilitate legalistic leaders to embrace transformational leadership to resolve trust, emotional conflicts and accounting issues.

Originality/value
This paper provides insights into the transition of leadership styles in the process of implementing accounting changes in the Chinese context, which contributes to future comparative leadership and accounting practices with Western philosophies.
Strategies to achieve work–family balance in a home office using border theory: case study of Mexican university employees
Authors: Llanos Luis Felipe , Tallabs Rebeca , Sánchez Armida , Jure Selen 
Published: February 2025

PurposeThis study aims to determine if Boundary Theory remains relevant for achieving work–family balance in a mandatory home office environment and to create a comprehensive inventory of strategies aligned with this theory that workers could use to restore boundaries between work and family life.Design/methodology/approachA voluntary and non-random sample of 443 subjects from a private university in Mexico was included. Data were collected using a single, open-ended question to capture the strategies followed to separate work from family (and vice versa). A qualitative technique of coding and content analysis was employed to interpret the data received.FindingsThe study describes and interprets the ten main strategies identified to reinforce the boundaries between family and work life. In particular, two main strategies are used by workers at home: creating effective agendas and maintaining the discipline to adhere to them.Practical implicationsWorkers at home could adopt two effective strategies to repair these work-family boundaries: creating agendas to manage their tasks and obligations and maintaining the discipline to adhere to them.Originality/valueThis research demonstrates that boundary theory remains highly applicable for achieving work–family balance in a mandatory home office environment, where work and family coexist in the same space and time.
Sustainable consumption in fashion – the role of public self-consciousness and a comparison of existing-consumers versus new-consumers
Authors: Jawed Fahad , Iqbal Sana , Bilal Ahmad , Amir Fahad 
Published: February 2025

PurposeThe study examines the factors contributing to young consumers’ preloved clothing purchase intention and behavior.Design/methodology/approachData was collected from 301 respondents using quantitative methodology. PLS Structural Equation Modelling (SEM) was performed to test hypotheses. The study extends the Theory of Reasoned Action by incorporating the Value-Belief-Norm theory to explore environmental consciousness in sustainable behaviors. It integrates public self-consciousness in the relationship of purchase intention with purchase behavior and employs Multi-Group Analysis to compare existing-consumers' purchase intentions with those of new-consumers.FindingsConsumers prioritizing environmental consciousness, frugality and subjective norms have higher preloved purchase intentions. Purchase intention mediates the relationship between environmental consciousness, subjective norms and purchase behavior. Consumers with high public self-consciousness tend to follow through with their purchase intentions. Moreover, price-conscious existing-consumers of preloved clothing have higher re-purchase intentions.Research limitations/implicationsMarketers and policymakers aiming to promote sustainable fashion could leverage environmental consciousness, price consciousness and societal pressures in awareness campaigns. Moreover, the study underscores the significance of public self-consciousness and prior preloved purchases in determining future consumption.Originality/valueThe study advances the understanding of the unexplored behaviors of young preloved clothing consumers in Pakistan, the second largest importer of preloved clothes and an under-researched market for such consumption. By integrating public self-consciousness and prior preloved purchases in the TRA framework, the study contributes to limited research exploring the role of individual traits and preferences in influencing sustainable fashion consumption.
Spatiotemporal analysis and GIS-based dashboard development for urban household waste
Authors: Xu Shixiong , Shirowzhan Sara , Sepasgozar Samad 
Published: February 2025

PurposeThis paper aims to develop a methodology for the spatiotemporal analysis of urban household waste data and a geographic information system (GIS)-based dashboard for interactive outcomes that identifies emerging trends and spatial distribution.Design/methodology/approachThe study visualized the emerging hotspot analysis of household waste data covering the waste in selected areas from 2014 to 2019 in New South Wales, Australia. Through analyses in ArcGIS Pro, multiple maps and diagrams can be created to display these results in ArcGIS Insights. To enable the spatial waste analysis outcomes accessible, a GIS-based dashboard including maps and charts, spatiotemporal visualization of household waste tonnage, and emerging hotspots was created.FindingsBased on the development of the dashboard in the ArcGIS Suites, there is an accessible data pipeline from ArcGIS Pro to Insights. The cloud-mapping system in ArcGIS online serves as a foundation for temporary data storage. The results also show the emerging hotspots of recyclable, residual and organic (RRO) waste in the Greater Sydney Region, Wollongong, Newcastle and Tweed. This study found an emerging cold spot in Wagga Wagga.Practical implicationsA dashboard for monitoring waste streams can be developed to enable GIS specialists to use historical spatiotemporal datasets in ArcGIS suites easily. Policymakers, strategy developers, urban waste managers and organizations dealing with urban waste can utilize this analytical dashboard to identify the issues, patterns and trends concerning urban waste for better decision-making in allocating required resources to overcome the identified issues to make informed decisions and develop strategies to alleviate the trends and patterns of ongoing problems. Indeed, the GIS-based dashboard developed in this research provides deep analysis and insights from the spatial waste data, allowing them to understand the included insights at a glance quickly.Originality/valueDeriving location information for urban household waste data is crucial for waste management since it offers a better understanding of urban household waste data patterns, issues and historical trends. Small-scale studies have examined spatial waste patterns, but the investigation of urban household waste focusing on RRO waste is limited. Moreover, there is a lack of GIS-based dashboard development to enable spatiotemporal waste analysis outcomes to be publicly accessible.
Uncovering key success factors for enhanced office-site communication through digital twins
Authors: Chalipour Azita , Noorzai Esmatullah , Golabchi Mahmood , Hosseini Nourzad Seyed Hossein 
Published: February 2025

PurposeThis study aims to explore the transformative potential of digital twins (DTs) in the construction industry by addressing challenges and bridging the technology adoption gap. Focusing on construction offices, on-site environments and their interface, the research identifies key success factors for DT implementation. Emphasizing practical applications, the study foresees a substantial impact on project management, highlighting the pivotal role of DTs in reshaping the construction sector.Design/methodology/approachWe reviewed 30 variables within the DT literature, classifying investigations into three main domains: on-site environments, office environments and site-office interface in construction projects. We employed a questionnaire to examine variables, with collected data analyzed using SmartPLS version 4 software. Confirmatory analysis and structural equation modeling rigorously assessed the model’s reliability, validity and predictive utility.FindingsThe study identifies 11 critical factors crucial for successfully implementing DTs in construction projects, emphasizing contributions from office-related (ORF), site-related (SRF) and office-site-related factors (OSRF). Notably, impactful contributions from ORF affirm its pivotal role. The research sheds light on specific aspects within construction offices, on-site environments and their interface, providing valuable insights for industry stakeholders, policymakers and researchers.Originality/valueDespite discussions on DT’s potential, a research gap exists in addressing essential factors for its effective application in monitoring and optimizing construction projects throughout their lifecycle. This study fills this gap by identifying and categorizing these factors, enhancing the knowledge base for successful DT assimilation and emphasizing the need for practitioners to understand key factors crucial for its integration into construction processes.