bluuebunny/crossref_metadata_2025_split huggingface dataset:
BIM-based search and selection of construction material suppliers: a dedicated framework and prototype
Authors: Aftab Usman , Hassan Muhammad Usman , Ullah Fahim , Nasir Abdur Rehman , Thaheem Muhammad Jamaluddin 
Published: November 2024

Purpose
This study aims to address the key issues concerning supplier selection in traditional construction procurement by proposing an innovative, novel, state-of-the-art prototype plugin building information modelling – supplier search and ranking (BIM-SSR) and an associated conceptual framework. It enhances building information modelling (BIM) capabilities through web crawling and analytical hierarchy processes (AHP). It uses the World Wide Web to procure construction material suppliers.

Design/methodology/approach
Prevalent issues in traditional procurement of material suppliers have been identified through a rigorous literature review. Field experts vetted these issues. A framework has been presented to address these issues based on integrated web crawling and AHP as a multi-criteria decision-making (MCDM) method. A BIM prototype (BIM-SSR) has been developed using Python and plugged into Autodesk Revit to automate the search and evaluation of material suppliers based on precise material specifications from the BIM design. The BIM-SSR prototype is tested through a case study and validated by field professionals for its efficiency in tackling the identified issues.

Findings
Thirteen key issues have been identified concerning traditional construction procurement pertinent to supplier selection. Best-value procurement was encouraged by identifying supplier selection criteria such as cost, delivery time, experience, compliance with quality management standards, warranties, and claim period. The presented BIM-SSR prototype has an efficiency of 80%–95% in addressing the issues identified in this study and 97.5% effectiveness in improving the overall procurement management process.

Originality/value
The BIM-SSR prototype developed in this study is a novel and innovative addition to the body of knowledge that has been integrated into Autodesk Revit as a Plugin. Automation of supplier search and selection through digital technologies, including web crawling and integration of traditionally accepted MCDM methods such as AHP in BIM, is another innovation in the current study. Overall, this study presents a holistic, innovative system, from conceptual design to practical implementation and demonstration. This is one of the steps to help the traditional construction procurement process evolve into a more modern and digital procurement.
Measuring complexity in mega construction projects: fuzzy comprehensive evaluation and grey relational analysis
Authors: Jin Shitao 
Published: November 2024

PurposeMega construction projects (MCPs), characterized by their vast scale, numerous stakeholders and complex management, often face significant uncertainties and challenges. While existing research has explored the complexity of MCPs, it predominantly focuses on qualitative analysis and lacks systematic quantitative measurement methods. Therefore, this study aims to construct a complexity measurement model for MCPs using fuzzy comprehensive evaluation and grey relational analysis.Design/methodology/approachThis study first constructs a complexity measurement framework through a systematic literature review, covering six dimensions of technical complexity, organizational complexity, goal complexity, environmental complexity, cultural complexity and information complexity and comprising 30 influencing factors. Secondly, a fuzzy evaluation matrix for complexity is constructed using a generalized bell-shaped membership function to effectively handle the fuzziness and uncertainty in the assessment. Subsequently, grey relational analysis is used to calculate the relational degree of each complexity factor, identifying their weights in the overall complexity. Finally, the weighted comprehensive evaluation results of project complexity are derived by combining the fuzzy evaluation results with the grey relational degrees.FindingsTo validate the model’s effectiveness, the 2020 Xi’an Silk Road International Conference Center construction project is used as a case study. The results indicate that the overall complexity level of the project is moderate, with goal complexity being the highest, followed by organizational complexity, environmental complexity, technical complexity, cultural complexity and informational complexity. The empirical analysis demonstrates that the model can accurately reflect the variations across different dimensions of MCP complexity and can be effectively applied in real-world projects.Originality/valueThis study systematically integrates research on MCPs complexity, establishing a multidimensional complexity measurement framework that addresses the limitations of previous studies focusing on partial dimensions. Moreover, the proposed quantitative measurement model combines fuzzy comprehensive evaluation and grey relational analysis, enhancing the accuracy and objectivity of complexity measurement while minimizing subjective bias. Lastly, the model has broad applicability and can be used in MCPs across different countries and regions, providing a scientific and effective basis for identifying and managing MCP complexity.
Verdicts on the optimization of corporate insolvency legal frameworks for sustainable development in Tanzania and Mauritius
Authors: Habiye Yusto Lucian , Gunputh Rajendra Parsad , Pudaruth Sameerchand 
Published: November 2024

Purpose
Sustainable development necessitates balancing economic growth, social inclusion and environmental protection to meet present needs without compromising future generations. The 17 United Nations Sustainable Development Goals (SDGs) provide a global framework to address these challenges. This study aims to explore how optimizing corporate insolvency legal frameworks in Tanzania and Mauritius can contribute to sustainable development, focusing specifically on the intersection of insolvency law and sustainability.

Design/methodology/approach
The study adopts a qualitative research methodology, integrating Creditors’ Bargain Theory and Communitarian Theory to analyze insolvency frameworks. The Creditors’ Bargain Theory emphasizes the importance of creditors’ rights in insolvency proceedings, whereas Communitarian Theory highlights broader societal impacts. The research is based on an extensive literature review of 59 academic sources, legal texts and reports, complemented by primary data collected through surveys involving at least 20 legal experts, insolvency practitioners, academics and researchers from both jurisdictions. Data was analysed to identify key themes, strengths, weaknesses and best practices within the existing legal frameworks of Tanzania and Mauritius.

Findings
The study identifies significant disparities between the insolvency frameworks in Tanzania and Mauritius. Tanzania’s framework is encumbered by outdated laws and high burdens of proof for insolvency claims, while Mauritius has a more streamlined process but contends with the misuse of statutory demands. Both countries require reforms to address preferential claims and improve regulatory oversight of insolvency practitioners. The study highlights the need to prioritize consumer claims, set minimum thresholds for statutory demands and ensure equitable treatment of creditors. It further emphasizes enhancing regulatory frameworks, particularly in Tanzania, where insolvency practitioners operate without comprehensive guidelines, in contrast to Mauritius’s more robust system.

Originality/value
This study offers a unique comparative analysis of how insolvency frameworks in Tanzania and Mauritius can be reformed to align with sustainable development objectives. It provides valuable insights into how legal reforms, including the introduction of penalties and enhancement of practitioner qualifications, can contribute to more sustainable economic practices.
Blockchain for supply chain: performance implications and contingencies
Authors: Liu Yan , Wang Qiang 
Published: November 2024

PurposeThis study aims to examine the performance implications of blockchain implementation in the supply chain and explore how blockchain functions and supply chain processes of blockchain implementation moderate the effect on firm performance.Design/methodology/approachUsing 220 blockchain implementations announced between January 2015 and December 2022, we use the event study methodology to estimate the effects of blockchain implementation on the firm value. Regression analyses are conducted to examine the moderating effects of blockchain functions and supply chain processes.FindingsFirst, there is a positive and statistically significant relationship between blockchain implementation in the supply chain and firm value. Second, we find that abnormal returns from blockchain implementation are higher when used with blockchain’s contract automation function and applied in downstream processes, supporting the moderation effects.Originality/valueThe study provides empirical evidence on the effects of the blockchain implementation on firm performance, taking into account the complexity of blockchain functions and supply chain processes. It enriches the current understanding of how blockchain implementation in the supply chain contributes to firm value.
Understanding the influence of communication visibility in preventing knowledge sabotage: a knowledge power perspective
Authors: Wang Junli , Yuan Ling , Tan Zhihong 
Published: November 2024

PurposeThis study explores the potential impact of enterprise social media (ESM) communication visibility on knowledge sabotage to reduce knowledge sabotage within organizations.Design/methodology/approachWe collected data from 389 Chinese employees across three stages and used hierarchical regression analysis and the bootstrap method to test our hypotheses.FindingsCommunication visibility negatively affects knowledge sabotage, and the loss of knowledge power mediates the relationship between communication visibility and knowledge sabotage. Digital work connectivity strengthens the negative relationship between message transparency and loss of knowledge power but weakens the negative relationship between network translucence and loss of knowledge power. Therefore, digital work connectivity plays a dual role.Practical implicationsManagers can encourage employees to share their knowledge advantages through ESM and seek cross-disciplinary knowledge cooperation, which helps restrain knowledge sabotage from the source. At the same time, maintaining appropriate digital work connectivity enables employees to leverage their knowledge interaction advantages of ESM, thereby fostering their knowledge competitiveness.Originality/valueThis study is the first to reveal the internal mechanism (loss of knowledge power) through which ESM communication visibility affects knowledge sabotage and explores the boundary condition (digital work connectivity) impacting the effectiveness of communication visibility. It contributes to a deeper understanding of the inherent nature of knowledge sabotage from an information technology perspective and offers novel technical insights into its management.
Coercive control of older adults in filial relationships: a hybrid concept analysis
Authors: Quinlan Freda , Donnelly Sarah , O’Donnell Deirdre 
Published: November 2024

Purpose
This study aims to synthesise published evidence relating to filial coercive control to generate an understanding of this under-explored concept. This paper identifies its defining characteristics and explores the circumstances under which the phenomenon manifests in the lives of older adults.

Design/methodology/approach
A scoping review methodology was adopted to guide the literature review, while a concept analysis methodology guided data extraction and analysis. Drawing on Rodgers’s (1989) evolutionary concept analysis method, a co-constructed research methodology was developed for this study.

Findings
The concept of filial coercive control was understood in the context of the following antecedents: ageist norms, a parental relationship (both biological and non-biological), physical proximity and the controlling characteristics and tendencies of the abusive adult child. The defining attributes included the exercise of power through control, dependency and entrapment, isolation and confinement and fear and intimidation. Using the dominant themes, models and contrary cases were constructed to illustrate the findings.

Originality/value
Existing bodies of theory fail to adequately describe the phenomenon of filial coercive control adequately; as a consequence, a co-constructed concept analysis was conducted. A tentative operational definition and a conceptual model are proposed providing a starting point for future research and informing professional practice and education.
Is the country’s preparedness for epidemics and pandemics an FDI location factor? An empirical analysis using panel data
Authors: Ait Soussane Jihad , Ibourk Aomar 
Published: November 2024

Purpose
This study aims to validate the hypothesis that a country’s preparedness for epidemics and pandemics, as measured by the GHS Index, significantly influences inward FDI inflows. By examining panel data from 2019 to 2021, the research seeks to elucidate the impact of heightened epidemic and pandemic preparedness on investment behavior, thereby highlighting the importance of health resilience and preparedness in attracting foreign investment and fostering economic growth and development.

Design/methodology/approach
The study uses panel data spanning 181 countries from 2019 to 2021 and uses logarithmic regression models to analyze the impact of a country’s preparedness for epidemics and pandemics, as measured by the Global Health Security (GHS) Index, on inward Foreign Direct Investment (FDI) inflows. Auxiliary variables including GDP, labor supply, openness rate, inflation rate and political stability are incorporated. Robust weighted least squares estimation techniques are used to account for potential heterogeneity and panel data characteristics.

Findings
The study reveals a consistent and statistically significant positive relationship between a country’s GHS score and inward FDI, indicating that destinations with robust health systems are more attractive to investors. Higher GHS scores correlate with reduced investment risk, improved business continuity during health crises and enhanced health-care infrastructure, leading to a healthier and more productive workforce.

Research limitations/implications
While the study provides valuable insights into the relationship between epidemic and pandemic preparedness and inward FDI inflows, several limitations exist. The analysis relies on cross-sectional data from a relatively short timeframe (2019–2021), limiting the ability to capture long-term effects. Additionally, the study focuses on the GHS Index as a measure of preparedness, overlooking other potential determinants of FDI attractiveness. Future research could explore a broader range of health security indicators and incorporate longer-term data to provide a more comprehensive understanding of the relationship.

Originality/value
This study contributes to the literature by examining the previously underexplored relationship between a country’s epidemic and pandemic preparedness, as measured by the GHS Index and inward FDI inflows. By using panel data analysis and robust econometric techniques, the research provides empirical evidence supporting the positive impact of robust health systems on FDI attractiveness. The findings underscore the importance of prioritizing public health initiatives and epidemic preparedness as integral components of attracting and retaining foreign investment, thereby fostering economic resilience and sustainable development in host countries.
The impacts of World Governance Index on Global Peace Index between 2008 and 2022
Authors: Keser Ahmet , Pehlivan Oğuzhan , Gokmen Yunus 
Published: November 2024

PurposeWhile many factors contribute to peace, economic and governmental factors are considered essential litmus tests for determining peace levels. This study aims to examine the impacts of World Governance Index (WGI) variables on the Global Peace Index (GPI) which ranges from 0 (very high) to 5 (very low).Design/methodology/approachThe GPI serves as a key indicator of peace levels. Valid data from two databases covering 161 countries from 2008 to 2022 were collected and analyzed by using a logarithmic panel data regression model. This approach ensures robust results, particularly when endogenous and exogenous variables have different measurement units.FindingsAccording to the Feasible Generalized Least Squares (FGLS) estimators, five WGI components exhibit inverse relationships with the GPI (increasing WGI components leads to a decline in GPI, indicating an enhancement in peace quality). The most significant factor influencing peace is “Political Stability and Absence of Violence/Terrorism”, while the effects of “Voice and Accountability” and “Control of Corruption” are also noted.Originality/valueExtant studies have largely overlooked the interaction between governance and peace, often relying on regional data (with neighboring countries) or case studies on local solutions. This paper, based on data from 161 countries, evaluates governance quality and its dimensions in relation to peace conditions on a global scale, providing more generalizable results for policymakers and scholars.
Bacterial communities on giant kelp in the Magellan Strait: Geographical and intra‐thallus patterns
Authors: Soto Daniela F. , Muñoz Camilo , Huovinen Pirjo , Garcés‐Vargas José , Gómez Iván 
Published: November 2024

AbstractThe giant kelp Macrocystis pyrifera is categorized as a keystone species, forming highly productive forests that provide ecosystem services and host a remarkable marine biodiversity of macro and microorganisms. The association of microorganisms with the algae is close and can be functionally interdependent. The Magellan Strait, a natural marine passage between the Atlantic and Pacific oceans, harbours extensive giant kelp forests. However, information related to the diversity of bacterial communities in this region is still scarce. In this study, 16S rRNA gene metabarcoding was used to characterize the diversity and composition of bacterial communities associated with apical blades and sporophylls of M. pyrifera from different sites (Bahía Buzo, San Gregorio, and Buque Quemado). Additionally, data from satellites and reanalysis, as well as tide data, were used to characterize the environmental variability. The findings revealed discernible local variations in bacterial taxa across sampling sites, with consistent dominance of Proteobacteria, Verrucomicrobia, Bacteroidetes, and Planctomycetes. Furthermore, a distinctive bacterial community structure was identified between apical and sporophyll blades of M. pyrifera. This research marks the inaugural characterization of bacterial community diversity and composition associated with M. pyrifera in the remote and understudied sub‐Antarctic region of the Magellan Strait.
Spillover Effects of the SEC's Regulatory Oversight on Private Debt Contracting: Evidence from Cross‐listed Foreign Firms
Authors: Chy Mahfuz , Khurana Inder K. , Kyung Hoyoun 
Published: November 2024

ABSTRACTWe examine the effect of the Securities and Exchange Commission's (SEC) regulatory oversight on private debt contracting outcomes, using the signing of the multilateral memorandum of understanding (MMoU) as a natural experiment. The MMoU enables the SEC to take stricter punitive actions against wealth expropriation by cross‐listed firms’ insiders and enforce better compliance with applicable rules and regulations. We find that enhanced SEC oversight in the post‐MMoU regime lowers loan spreads by 36 basis points, thus saving an average cross‐listed firm approximately $9 million in direct loan costs over the life of a bank loan. Cross‐sectional analyses show that the effect is more pronounced for borrowers from countries with weaker institutions, borrowers with greater accounting discretion, and for loans arranged by top lenders or loans not secured by collateral. Conversely, the effect is less pronounced for borrowers who use IFRS or when the SEC faces greater budgetary constraints. Enhanced SEC oversight also leads to an increase in loan maturity and a decrease in financial covenants. Our evidence suggests that while the SEC's primary mandate is to protect public equity and bond investors, its supervision yields substantial borrowing cost savings and more lenient nonprice loan terms in the private debt markets as well.
How environmental policy stringency, green investment, and renewable energy contribute to environmental pollution and load capacity factor in G11 countries?
Authors: Fatima Tehreem , Razzaq Asif , Nghiem Xuan‐Hoa , Meo Muhammad Saeed 
Published: November 2024

AbstractAmid growing concerns about global environmental sustainability, the focus on understanding the interplay between environmental policies, investments in sustainable practices, and renewable energy sources has intensified. This study delves into the relationship between environmental policy stringency, green investment, and the utilization of renewable energy, specifically examining their impact on the load capacity factor (LCF) within G11 countries utilized from 2000 to 2021. Manifestly, LCF integrates both demand‐ and supply‐side aspects of environmental quality. It also utilizes a comprehensive indicator of environmental policy stringency, evaluating its impact alongside green investment. Employing the Cross Sectional‐Augmented Autoregressive Distributed Lag (CS‐ARDL) model and the Common Correlated Effect Mean Group (CCEMG) approach, this research demonstrates that environmental policy stringency, green investment, and renewable energy consumption positively and significantly influence the LCF, consequently fostering improvements in environmental sustainability in both short‐ and long‐term scenarios. It is worth mentioning that environmental policy stringency has the strongest effects on LCF followed by renewable energy. The findings strongly indicate that reinforcing environmental policies, promoting green investment, and embracing renewable energy usage can collectively yield a substantial reduction in environmental pressure for G11 countries.
Data‐sparse price indexes by spatio‐temporal regularization and PCA: An application to the Australian housing market
Authors: Sijp Willem P. , Panagiotelis Anastasios , Francke Marc K. 
Published: November 2024

AbstractWe present two novel approaches to overcome the limitations of data‐sparse local house price indexes and combine them into a single model pipeline that is simple, computationally efficient, and interpretable. The first contribution is a new spatio‐temporal regularization of least squares dummy variable models, such as the repeat sales regression used here. This regularization encodes prior knowledge of the proximity of houses in space and their sales in time. It handles missing values in a natural way. The second is nonlocal regularization using truncated principal component analysis (PCA) applied to the resulting national collection of local price indexes. The PCA loadings show that there are important underlying socioeconomic factors that can be leveraged in the construction of Australian market indexes. This PCA reveals important socioeconomic factors, showing that many local markets can be described by a few broad aspects of the national market, consisting of a general trend that contrasts regions influenced by the mining industry with Sydney and Melbourne, and another trend that highlights lifestyle.