Search results

Considering the frequency of extreme events, enhancing the global financial system's stability has become crucial. This study aims to investigate the contagion effects of extreme risk events in the international commodity market on China's financial industry. It highlights the significance of comprehending the origins, severity and potential impacts of extreme risks within China's financial market.

This study uses the tail-event driven network risk (TENET) model to construct a tail risk spillover network between China's financial market and the international commodity market. Combining with the characteristics of the network, this study employs an autoregressive distributed lag (ARDL) model to examine the factors influencing systemic risks in China's financial market and to explore the early identification of indicators for systemic risks in China's financial market.

The research reveals a strong tail risk contagion effect between China's financial market and the international commodity market, with a more pronounced impact from the latter to the former. Industrial raw materials, food, metals, oils, livestock and textiles notably influence China's currency market. The systemic risk in China's financial market is driven by systemic risks in the international commodity market and network centrality and can be accurately predicted with the ARDL-error correction model (ECM) model. Based on these, Chinese regulatory authorities can establish a monitoring and early warning mechanism to promptly identify contagion signs, issue timely warnings and adjust regulatory measures.

This study provides new insights into predicting systemic risk in China's financial market by revealing the tail risk spillover network structure between China's financial and international commodity markets.

The paper aims to clarify the relationship of various enablers of supply chain (SC) management like lean enablers, agile enablers and leagile enablers. It proposes modeling the enablers to find the most appropriate strategy or methodology for determining the lean enabled SC agility.

The paper proposed the fuzzy SWARA-WASPAS methodology for determining the role of lean in enabling the SC agility. Also in continuation the AHP methodology is applied to find the priority weightage and ranking of leagile enablers, and a comparative analysis is done to select the best approach among the above two methodologies so that it would be beneficial for all the stakeholders.

The paper provides the investigation and identification of 28 lean enablers, 11 agile factors which are highly responsible to affect any SC specially focusing of automobile sector. Apart from above 9 leagile enablers were also identified in the paper. Finally, the comparative analysis has been done in the results obtained by two methodologies – AHP & fuzzy SWARA-WASPAS – to determine the lean enabled SC agility, and also to which strategy should be adopted by the organizations as per the customized requirement of their SC.

The research limitation is that in future, there may be more number of lean, agile and leagile enablers which may be explored by different researchers in their findings, which may vary the output result accordingly. Though the research implications focus on having an advantage and impact on all aspects whether it is social, economic or commercial, there is a possibility of exploration of new and better decision-making tools and approaches in future. Also, the researchers are encouraged to test the proposed propositions further by taking case study of any automobile manufacturing organizations for the validation of the results.

The paper includes implications for the development of a powerful interrelationships between lean enablers, agile enablers and leagile enablers, which will help organization and the managers to take decisions regarding selection of best strategy appropriate to them to enhance their SC. This will also help new researchers of the field to take help of the research findings for exploring new and better optimization tools and techniques in future.

The findings of the research work will definitely help society, as the successful implementation of the lean, agile or leagile strategies in their SC system will leads to an increase in their efficiency and productivity, which will ultimately results in huge advantage to all the stakeholders directly or indirectly connected with the organization. The productivity dynamics cycle will also improve which will lead to more benefits to all in the market and achieving higher living index with better living standards.

This paper fulfills an identified need to study the various enablers of lean, agile and leagile SC, as well as their interrelationships. Also there is a need to understand the importance and effect of lean in enabling the SC agility.

This paper aims to investigate the relationship between audit partner perfectionism traits and audit quality in Egypt, emphasizing the mediating role of professional skepticism.

A mixed-methods approach was used, combining a questionnaire and scenario-based questions for audit partners with secondary data from audited financial statements. The relationships between study variables were tested using structural equation modeling.

Results denote a significant indirect effect between partner perfectionism traits and audit quality through their professional skepticism. Perfectionism has a significant positive impact on partner professional skepticism, and skepticism influences audit quality.

This study offers opportunities to enhance financial reporting quality, allowing investors to confidently allocate financial market resources. Audit firms can consider the personality traits of auditors in the selection process, team formation and designing training programs. Regulators can use these findings to consider the role of personality traits and attitudes in audit quality when developing regulations and quality assurance systems in Egypt.

To the best of the authors’ knowledge, no studies have examined the effect of partners’ perfectionism traits on professional skepticism and audit quality, especially in Egypt. By examining audit partners, who shape the tone at the top and are accountable for reputation, this study adds a novel dimension to understanding the impact of their qualities on audit outcomes. Moreover, combining survey and secondary data allows us to link these qualities with audit quality, objectively testing our hypotheses.

Blockchain technology (BCT) can play a vital role in manufacturing industries by providing visibility and real-time transparency. With BCT adoption, manufacturers can achieve higher productivity, better quality, flexibility and cost-effectiveness. The current study aims to prioritize the performance metrics and ranking of enablers that may influence the adoption of BCT in manufacturing industries through a hybrid framework.

Through an extensive literature review, 4 major criteria with 26 enablers were identified. Pythagorean fuzzy analytical hierarchy process (AHP) method was used to compute the weights of the enablers and the Pythagorean fuzzy combined compromise solution (Co-Co-So) method was used to prioritize the 17-performance metrics. Sensitivity analysis was then carried out to check the robustness of the developed framework.

According to the results, data security enablers were the most significant among the major criteria, followed by technology-oriented enablers, sustainability and human resources and quality-related enablers. Further, the ranking of performance metrics shows that data hacking complaints per year, data storage capacity and number of advanced technologies available for BCT are the top three important performance metrics. Framework robustness was confirmed by sensitivity analysis.

The developed framework will contribute to understanding and simplifying the BCT implementation process in manufacturing industries to a significant level. Practitioners and managers may use the developed framework to facilitate BCT adoption and evaluate the performance of the manufacturing system.

This study can be considered as the first attempt to the best of the author’s knowledge as no such hybrid framework combining enablers and performance indicators was developed earlier.

Poor cash flow management and lack of profitability have plagued the construction industry for decades. In response, the UK Government published the project bank account (PBA) payment strategy in 2012 to mitigate main contractors unfairly withholding liabilities. However, PBAs suffer from adoption challenges, such as systems fragmentation and a lack of incentives for main contractors to adopt them effectively. This study aims to investigate how to reduce systems fragmentation in construction by integrating PBA procedures with existing management workflows to increase payment automation, resulting in improved cash liquidity and better incentives for using PBAs.

A PBA blockchain decentralised application is developed, presented and critically evaluated. Blockchain is the technology used because of its permissionless, license-free, open-source and immutability properties. It is a suitable general-purpose technology layer for building and testing applications without the limitations associated with centralised technologies, such as high proprietary fees, vendor lock and intellectual property restrictions.

The research demonstrates how a blockchain application can integrate siloed construction workflows such as cash flow scheduling, supply chain management and payment executions, reducing the management workload for implementing PBAs in construction projects. Furthermore, the proposed application is open-source and replicable, and its user interface is available for external testing here: https://console.atra.io/app/bf26f846-7f16-4f80-90a0-c5488ab6edd3.

PBA is a suitable test case because it enforces an auditable, transparent and neutral account, which are inbuilt properties of blockchains; thus, both systems are harmonious to integrate. PBA is mandated in UK public sector construction projects; therefore, the research has a solid practical foundation.

The purpose of this article is to develop relationships between many major issues relevant to the agriculture supply chain.

With the purpose of gaining an all-encompassing understanding of the agriculture supply chain, this work uses 233 filtered research articles and three bibliometric analysis tools, namely VOSviewer, term frequency-inverse document frequency (TF-IDF) and Person correlation. The collected research publications were also catalogued using Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA).

Using analytic techniques, a total of 12 keywords were obtained. The study found that agri-products are in dire need of digitisation via Internet of things (IoT) and blockchain due to the usage of economic variables and comprehensive management of total food waste throughout transportation, anchoring quality and the predominant variable.

The study was limited to the Scopus and Web of Science (WoS) indexing in order to assess the viability of the linked idea and problem.

This study aims to generate vital knowledge in the field of horticulture-focused agriculture supply chain based on previous justification and relationship formation.

The purpose of this study is to investigate the relationship between work-life balance and the mental health of Indian managers and to explore the moderating role of emotional intelligence (EI) and gender.

Work-life balance scale (Hayman 2005), Mental Health Inventory (Viet and Ware, 1983) and EI scale (Wong and Law, 2002) were administered to 202 (102 males and 100 females) Indian managers. Based on the Conservation of Resource theory, a theoretical model has been designed and hypotheses were tested by descriptive, correlation and moderation analysis.

The results of this study indicated that work-life balance is positively correlated with psychological well-being and mental health, while negatively correlated with the psychological distress of managers. EI has emerged as a potential moderator that positively influences the relationship between work-life balance and the mental health of managers. At the same time, gender did not show any moderating effect.

This research has theoretical, practical as well as social implications.

This study is aligned with SDG 3 and SDG 5 of the UN Sustainable Development Goals 2023. This paper provides valuable inputs in promoting mental health at the workplace and formulating gender-neutral work-life balance policies and programs in Indian organizations.

This study is aligned with SDG 3 (Health and well-being) and SDG 5 (Gender equality) of the UN Sustainable Development Goals 2023.

This study is an empirical research paper backed by a sound theoretical framework, which addresses the work-life balance and mental health issues of managers and highlights the positive role of EI in managing their personal and professional lives in a low gender-egalitarian Indian work–family culture.

The digitalization of archival management has rapidly developed with the maturation of digital technology. With data's exponential growth, archival resources have transitioned from single modalities, such as text, images, audio and video, to integrated multimodal forms. This paper identifies key trends, gaps and areas of focus in the field. Furthermore, it proposes a theoretical organizational framework based on deep learning to address the challenges of managing archives in the era of big data.

Via a comprehensive systematic literature review, the authors investigate the field of multimodal archive resource organization and the application of deep learning techniques in archive organization. A systematic search and filtering process is conducted to identify relevant articles, which are then summarized, discussed and analyzed to provide a comprehensive understanding of existing literature.

The authors' findings reveal that most research on multimodal archive resources predominantly focuses on aspects related to storage, management and retrieval. Furthermore, the utilization of deep learning techniques in image archive retrieval is increasing, highlighting their potential for enhancing image archive organization practices; however, practical research and implementation remain scarce. The review also underscores gaps in the literature, emphasizing the need for more practical case studies and the application of theoretical concepts in real-world scenarios. In response to these insights, the authors' study proposes an innovative deep learning-based organizational framework. This proposed framework is designed to navigate the complexities inherent in managing multimodal archive resources, representing a significant stride toward more efficient and effective archival practices.

This study comprehensively reviews the existing literature on multimodal archive resources organization. Additionally, a theoretical organizational framework based on deep learning is proposed, offering a novel perspective and solution for further advancements in the field. These insights contribute theoretically and practically, providing valuable knowledge for researchers, practitioners and archivists involved in organizing multimodal archive resources.

Logistics and supply chain management (L&SCM) scholars and practitioners have devoted extensive efforts to advancing green logistics practices (GLPs), yet the intersection between the two domains in relation to the topic remains underexplored. To accelerate GLPs’ development amid the escalating climate crisis, this research examines this intersection by comparing the responsiveness of academia and practice to the call for green logistics over time.

To compare between academia and practice, we combined a systematic literature review on the development of GLPs in L&SCM journals (N = 122) with a content analysis of annual and sustainability reports published by the four major global logistics service providers (LSPs: DHL, DB Schenker, UPS and FedEx; N = 156) over the past three decades.

This research reveals that all the GLPs covered in the L&SCM literature have already been applied and reported by practitioners, both consistently and over a significant period of time. Academic progress, in turn, is delayed by slow-paced empirical methods, elevated research quality standards, prolonged funding and recruitment processes, and extended peer-review intervals. Further, a tendency toward reactive knowledge creation rather than proactive knowledge transfer is evident, obscuring the role of L&SCM scholars in steering the industry’s green advancement.

Recommendations are offered to L&SCM authors, editors, reviewers and university departments to advance pracademic endeavors in green logistics research and increase its responsiveness to global events.

This is one of the first studies to scrutinize the intersection between academia and practice on the evolution of GLPs. The revealed gaps prompted us to suggest a transformative paradigm for academia-practice collaborations targeting the L&SCM discipline at large, combining a bold proactive research stream aimed at knowledge transfer with a more traditional reactive stream aimed at knowledge creation.

The primary objective is to analyze the direct and short-run impact of hosting the FIFA World Cup on inward FDI, considering both aggregate and sectoral levels. Additionally, the study aims to investigate the moderating role of governance quality on this impact, emphasizing the importance of robust institutional frameworks in attracting FDI.

This paper uses panel data spanning 1970–2022, encompassing 12 countries that have hosted FIFA World Cup events. The study employs a linear regression model with a robust weighted least squares (RWLS) estimation method. It incorporates various control variables and the institutional quality as moderating variables, to evaluate the impact of hosting the FIFA World Cup on inward FDI at both aggregate and sectoral levels.

Hosting the FIFA World Cup is associated with a significant average increase of $4.33 bn in inward FDI at the aggregate level. Notably, governance quality serves as a critical moderating factor, with well-governed countries experiencing a more substantial increase in FDI, totaling $10.5 bn. At the sectoral level, the results reveal that poorly governed countries attract FDI in primary sectors, while well-governed countries attract FDI in secondary and tertiary sectors. This highlights the nuanced dynamics of FDI attraction depending on the institutional quality of the host countries.

A primary limitation lies in the scarcity of sectoral-level data, constraining the comprehensive study of the relationship between hosting mega-sport events and FDI. Future research could explore alternative data sources and methodologies to overcome this limitation. Additionally, extending the analysis to include other economic indicators beyond FDI could provide a more holistic understanding of the economic implications of hosting major international sporting events.

This study contributes to the literature by focusing exclusively on the FIFA World Cup and undertaking a comprehensive sectoral analysis. By incorporating governance quality as a moderating variable, it adds a nuanced layer to the understanding of the impact of hosting international events on FDI at the sectoral level. The findings underscore the importance of targeted strategies and robust institutional quality in enhancing FDI attractiveness.