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This paper aims to critique the rationalist theoretical framework of international mediation, which ignores emotions in analyzing the decision by conflict parties to pursue a negotiated settlement or continue fighting, and to present an alternative framework that integrates emotions.

The paper draws on psychology research on emotions and conflict to develop an emotionally informed framework for analyzing conflict parties’ decision-making regarding a settlement. It demonstrates the framework’s validity and value through a case study of the 2000 Camp David mediation to resolve the Israeli–Palestinian conflict.

A rationalist approach to mediation does not have adequate explanatory and predictive power theoretically. In practice, it can reduce the prospect of success.

The paper highlights the necessity for mediation researchers to study the effects of emotion, draw on psychology studies on conflict and explore the emotional implications of different mediation strategies and tactics.

The framework highlights the challenge of designing and conducting mediation in a way that cultivates emotions favorable to a settlement and lessens emotions unfavorable to a settlement.

This is the first study, to the best of the authors’ knowledge, to critique the rationalist framework of international mediation studies and develop an alternative framework that integrates emotions.

In this paper we examine the validity of the J-curve hypothesis in four Southeast Asian economies (Indonesia, Malaysia, the Philippines and Thailand) over the 1980–2017 period.

We employ the linear autoregressive distributed lags (ARDL) model that captures the dynamic relationships between the variables and additionally use the nonlinear ARDL model that considers the asymmetric effects of the real exchange rate changes.

The estimated models were diagnostically sound, and the variables were found to be cointegrated. However, with the exception of Malaysia, the short- and long-run relationships did not attest to the presence of the J-curve effect. The trade flows were affected asymmetrically in Malaysia and the Philippines, suggesting the appropriateness of nonlinear ARDL in these countries.

The previous research tended to examine the effects of the real exchange rate changes on the agricultural trade balance and specifically the J-curve effect (deterioration of the trade balance followed by its improvement) in the developed economies and rarely in the developing ones. In this paper, we address this omission.

The globalisation of supply chains has contributed to modern slavery by degrading labour standards and work practices. The inherent difficulties involved in monitoring extremely fragmented production processes also render workers in and from developing countries vulnerable to labour exploitation. This research adopts a benchmark methodology that will help examine the inherent modern slavery challenges.

This study examines how the benchmark model, including governance, risk assessment, purchasing practice, recruitment and remedy of victims, addresses supply chain modern slavery challenges. The proposed hypotheses are tested based on the reoccurring issues of modern slavery in global supply chains.

Estimations suggest that modern slavery is a growing and increasingly prominent international problem, indicating that it is the second largest and fastest growing criminal enterprise worldwide except for narcotics trafficking. These social issues in global supply chains have drawn attention to the importance of verifying, monitoring and mapping supply chains, especially in lengthy and complex supply chains. However, the advent of digital technologies and benchmarking methodologies has become one of the existing key performance indicators (KPIs) for measuring the effectiveness of modern slavery initiatives in supply chains.

This review provides an understanding of the current situation of global supply chains concerning the growing social issue of modern slavery. However, this includes various individual specialities relating to global supply chains, modern slavery, socially sustainable supply chain management (SCM), logistic social responsibility, corporate social responsibility and digitalisation. Furthermore, the review provided important implications for researchers examining the activities on benchmarking the effectiveness of the existing initiatives to prevent modern slavery in the supply chains.

This study reviews scholarly work in sustainable green logistics and remanufacturing (SGLR) and their subdisciplines, in combination with bibliometric, thematic and content analyses that provide a viewpoint on categorization and a future research agenda. This paper provides insight into current research trends in the subjects of interest by examining the most essential and most referenced articles promoting sustainability and climate-neutral logistics.

For the literature review, the authors extracted and sifted 2180 research and review papers for the period 2008–2023 from the Scopus database. The authors performed bibliometric and content analyses using multiple software programs such as Gephi, VOSviewer and R programming.

The SGLR papers can be grouped into seven clusters: (1) The circular economy facets; (2) Decarbonization of operations to nurture a climate-neutral business; (3) Green sustainable supply chain management; (4) Drivers and barriers of reverse logistics and the circular economy; (5) Business models for sustainable logistics and the circular economy; (6) Transportation problems in sustainable green logistics and (7) Digitalization of logistics and supply chain management.

In this review, fundamental ideas are established, research gaps are identified and multiple future research subjects are proposed. These propositions are categorized into three main research streams, i.e. (1) Digitalization of SGLR, (2) Enhancing scopes, sectors and industries in the context of SGLR and (3) Developing more efficient and effective climate-neutral and climate change-related solutions and promoting more environmental-related and sustainability research concerning SGLR. In addition, two conceptual models concerning SGLR and climate-neutral strategies are developed and presented for managers and practitioners to consider when adopting green and sustainability principles in supply chains. This review also highlights the need for academics to go beyond frameworks and build new techniques and instruments for monitoring SGLR performance in the real world.

This study provides an overview of the evolution of SGLR; it also clarifies concepts, environmental concerns and climate change practices, particularly those directed to supply chain management.

This paper aims to introduce an alternative for modeling levitation forces between NdFeB magnets and bulks of high-temperature superconductors (HTS). The presented approach should be evaluated through two different formulations and compared with experimental results.

The T-A and H-ϕ formulations are among the most efficient approaches for modeling superconducting materials. COMSOL Multiphysics was used to apply them to magnetic levitation models and predict the forces involved.The permanent magnet movement is modeled by combining moving meshes and magnetic field identity pairs in both 2D and 3D studies.

It is shown that it is possible to use the homogenization technique for the T-A formulation in 3D models combined with mixed formulation boundaries and moving meshes to simulate the whole device’s geometry.

The case studies are limited to the formulations’ implementation and a brief assessment regarding degrees of freedom. The intent is to make the simulation straightforward rather than establish a benchmark.

The H-ϕ formulation considers the HTS bulk domain as isotropic, whereas the T-A formulation homogenization approach treats it as anisotropic. The originality of the paper lies in contrasting these different modeling approaches while incorporating the external magnetic field movement by means of the Lagrangian–Eulerian method.

This study aimed to evaluate the potential of artificial intelligence (AI) as a tool for knowledge synthesis, the production of written content and the delivery of coaching conversations.

The research employed the use of experts to evaluate the outputs from ChatGPT's AI tool in blind tests to review the accuracy and value of outcomes for written content and for coaching conversations.

The results from these tasks indicate that there is a significant gap between comparative search tools such as Google Scholar, specialist online discovery tools (EBSCO and PsycNet) and GPT-4's performance. GPT-4 lacks the accuracy and detail which can be found through other tools, although the material produced has strong face validity. It argues organisations, academic institutions and training providers should put in place policies regarding the use of such tools, and professional bodies should amend ethical codes of practice to reduce the risks of false claims being used in published work.

This is the first research paper to evaluate the current potential of generative AI tools for research, knowledge curation and coaching conversations.

The behavioural theory adds a new paradigm of analysis with the assumptions of the decision maker’s cognitive biases and their repercussions on financing decisions. The aim of the study is to analyse the repercussions of these biases on the adjustment speed of firm’s capital structure toward the optimal level.

Based on a partial adjustment model, the study uses the Dynamic Panel Fractional estimator to analyse panel data from 4,990 Portuguese entrepreneurial firms.

The results show that the cognitive overconfidence bias impacts the entrepreneurial firm’s capital structure. In fact, the firms run by overconfident managers adjust more slowly than their counterparts. Furthermore, the findings suggest that entrepreneurial firms make relatively fast adjustments toward the optimal debt level and follow a hierarchical financing order in the funding process.

The results of this paper are not only interesting to the academia, but also contain practical implications for corporate, institutional and business policy and governance. First, the paper introduces a new measure of cognitive bias in optimistic managers, which is useful for current and future academic research. Also, in practical terms, the findings of the paper reveal that when a company is contemplating hiring a manager, it should consider whether they need an optimistic or non-optimistic manager based on the company's present life cycle or situation.

The current analysis extends the existing literature. The study suggests that financial classical and behavioural paradigms should not be separated, which can provide evidence to help narrow the gap between these two major perspectives.

This chapter focusses on analysing the origins and evolution of the SWOT analysis. It explains the drivers and limitations of the conventional SWOT analysis, laying the groundwork for new decision-making models that can aid researchers and practitioners in comprehending both the external landscape and the internal characteristics of a company. This chapter demonstrates how the strengths, weaknesses, opportunities, and threats of the SWOT analysis can be approached dynamically. Conventional SWOT analysis offers only a limited perspective on the environment and employs terminology that can confuse users, hindering their clear understanding of the factors that influence an organisation’s situation. This chapter provides a concise literature review of tools for evaluating quality management, its resources, and the surrounding environment, which serves as a valuable means to grasp the economic and social context within which a firm operates.

The purpose of this paper is to provide scholars with a robust, easy-to-follow structural model for crafting compelling academic publications. Recognizing the diversity of research methodologies and genres, the paper proposes the symmetry of specificity framework as a guide to maintaining coherence, depth and relevance across different sections of an academic paper.

This paper presents a theoretical framework – “symmetry of specificity” – through an iterative approach inspired by supervision and examination of theses, writing and reviewing research papers and editorial work. The framework builds upon the established IMRAD model and uses the concept of symmetry to explain the structural elements of academic publications. Its unique contribution lies in elucidating the two-dimensional funneling process that takes place within academic writing, and providing a nuanced understanding of how to maintain balance between different sections.

The symmetry of specificity framework introduces a novel perspective on academic writing, emphasizing the concept of “symmetry in specificity”. It shows how maintaining a balance in detail and focus across different sections of a research paper can significantly enhance its coherence and relevance. By elucidating the interaction between theory and data in research writing, it provides valuable insights into the nuances of crafting a compelling academic paper.

While the proposed symmetry of specificity framework may not be universally applicable across all types of research, it provides a solid foundation for the development of alternate structures tailored to specific research paradigms. There is ample opportunity for future research to explore adaptations of this model for various types of academic writing, offering a fresh perspective on structuring academic publications and potentially sparking new discussions and innovations in this realm.

This framework can aid both novice and experienced scholars in structuring their research papers effectively. By offering a conceptual roadmap, it guides the writer through the complex process of academic writing, from crafting the methodology and analysis sections to articulating compelling conclusions. Thus, it serves as a useful tool in enhancing the quality and impact of research communication.

This paper presents a unique approach to structuring academic publications that goes beyond the conventional IMRAD model. By offering a theory-based structural model, it contributes to an underexplored area in academic writing and opens up new avenues for pedagogy and practice in research communication.

This study aims to understand the association between the fear of missing out (FOMO) and its impact on psychological well-being (PWB). The mediating effect of anxiety and moderating effects of social media engagement (SME) and resilience on the association mentioned above are also examined.

The study used a mix of attachment theory and cognitive-motivational-relational theory to understand the hypothesized relationship using a diverse sample of international respondents from South Asia, South East Asia and the Middle East. The data from 612 respondents was collected using SurveyMonkey. The authors have used Hayes’ PROCESS Macro to test the hypothesised relationships.

The results revealed that anxiety acts as a mediator between FOMO and PWB, while SME and resilience act as moderators in reducing the impact of FOMO on anxiety and the impact of anxiety on PWB, respectively.

The work extends the existing theorization and points out the merits of using SME and resilience as moderators and anxiety as a mediator for understanding the association between FOMO and PWB.