The study of factors affecting on COSO ERM success and its consequences: an empirical research of Thai-listed companies

The goal of this study was to look at the causes and effects of the COSO ERM success of the companies listed on the Thai Stock Exchange. The internal resources and capabilities including effective AIS design, top management support, and internal auditor competency are assumed to become the antecedents of COSO ERM success. Moreover, the consequences of COSO ERM success are sustainable value creation, achieve strategy and goal, promote efficiency and effectiveness, financial reporting quality, and compliance with law. Thai-listed firms were used as research subjects, and data from the chief internal control was collected via a mail survey process and a questionnaire. The overall findings show that successful COSO ERM is influenced positively and significantly by effective AIS design, top management support, and internal auditor competency. Additionally, the achievement of strategy and goals, promotion of efficiency and effectiveness, quality of financial reporting, and legal compliance are all positively impacted by COSO ERM success. Moreover, achieve strategy and goal, promote efficiency and effectiveness, financial reporting quality, compliance with law all have a positive, significant impact on the creation of sustainable value. Overall, the results demonstrate that excellent AIS design, top management backing, and internal auditor expertise are required for a company to develop both COSO ERM success and long-term sustainable value generation

Dynamic multi-scale simulation for evaluating combat effectiveness against aerial threats

The development and assessment of modern weapon systems require efficient and flexible simulation tools. This paper introduces a multi-scale discrete-event simulation framework designed to evaluate the dynamic combat effectiveness of weapon systems. The framework combines high-resolution and low-resolution models to address the complexities of real-world engagements while maintaining computational efficiency. Physical processes are encapsulated as modular state transition functions, allowing seamless integration of a multi complexity level modeling approach. The framework’s versatility is demonstrated through a case study analyzing the effectiveness of a tank weapon system against a fleet of drones. Non-deterministic methods such as Monte Carlo simulations for uncertainty quantification are used to evaluate probabilistic key metrics, such as projectile accuracy and lethality, providing insights into engagement dynamics and optimization of firing strategies. By leveraging a hybrid continuous/discrete approach and modular design, the framework enables comprehensive assessments of weapon effectiveness during an engagement, bridging gaps in traditional deterministic methodologies for both static and dynamic targets. Future enhancements will focus on optimizing sampling techniques for broader applicability of high-resolution stochastic simulations in modern combat scenarios

Data-based flight optimization model for scheduling: noise management approach

Civil aviation noise remains a key challenge that limits the industry’s growth. With the rise in global air traffic, aviation noise pollution is becoming an increasingly pressing concern. This research develops a data-driven flight optimization model to mitigate noise levels at Vilnius Airport. The research is conducted in three stages: first, existing noise reduction strategies and the potential of scheduling optimization tools are reviewed. Next, EUROCONTROL’s integrated aircraft noise and emissions modelling platform is used to assess noise levels for each flight operation under relevant atmospheric conditions. Finally, a flight schedule optimization model is developed by considering key variables, constraints, and assumptions affecting airport noise, followed by an evaluation of its performance and efficiency. The findings suggest that effective noise management requires a comprehensive approach, integrating operational adjustments with a detailed understanding of industry factors

Achieving sustainable urban mobility with a modified VIKOR method to improve the selection of a park and ride system

In many European cities, municipal authorities have placed restrictions on private transport in city centres to comply with national and European regulations aimed at reducing traffic congestion, air pollution levels, polluting gases emission from transport and the consequences on climate change that have affected the quality of life of the inhabitants. Park and ride (P&R) facilities are key elements to introduce restrictions on private transport in city centres to reduce congestion. In this paper, a methodology is proposed, through multi-criteria decision methods, to determine a sustainable P&R rating and classification. The optimal solution or set of solutions, for P&R facilities is determined by taking into account sustainability criteria: environmental, economic, functional and social. A modified VIKOR multi-criteria decision method was developed and applied by using the Mahalanobis distance by taking into account the correlation between variables. The proposed methodology provides the most sustainable alternatives of P&R and allows local authorities to prioritize necessary actions to achieve more sustainable urban mobility. The method developed was applied to study the P&R system designed for the city of Madrid

Locus of control as critical moderator of the relationship between role stressors and intention to quit

This research examines how employees’ locus of control moderates the relationships between role conflict, role ambiguity, and intention to quit when assessing the mediation effects of counterproductive work behaviour and work engagement. A quantitative method (survey) was used for this study, with 348 questionnaires completed online. The research results reveal that, with a strong internal locus of control, work engagement mediates the relationship between role conflict and intention to quit and between role ambiguity and intention to quit. The higher the internal locus of control, the more both role conflict and role ambiguity affect work engagement, leading to intention to quit. Moreover, the manifestation of locus of control varies according to the employee’s level of education, age, field of activity, and the organisation size. The study is the first to develop an integrative framework, which depicts how team-level factors comprehensively affect interrelations between role stressors and employee intention to quit. Our research delineates, explicates, and directs crucial aspects of human resource management in organisations. It also highlights that in studying the employee behaviour, scholars should inexorably assess situations in the complex manner that research demands to delineate employee workplace behaviour stemming from a combination of personal, contextual, and circumstantial factors

Review of the design and condition monitoring of overhead power distribution conductors

Bushfires, also known as wildfires in some parts of the world, is a major hazard with significant risks to communities and the environment. Such fires can initiate from a number of sources including lightning. However, one of the possibilities for initiating bushfires is faults in the power system. Faults in conductors can happen overtime and monitoring is essential for effective maintenance and avoiding unnecessary power failures. Simultaneously, assessing conductor reliability is critical for powerline asset management. This paper comprehensively reviews conductor design and monitoring in the distribution network. Various conductor types and applications are described using population statistics from the Australian power distribution network. Furthermore, the design approach in the Australian Standard is briefly explained and further design methodologies are assessed, emphasizing the progress of innovative approaches. Additionally, potential conductor failure modes in Australia’s distribution network are identified. The paper also outlines different condition assessment methods and explores their advancement. Finally, possible models for evaluating conductor reliability are examined, underscoring their benefits in accounting for weather-induced impacts

On transforming a traditional organisational culture to meet the needs of a global business

This study highlights the challenges that a traditional organizational culture faces in terms of its adaptation in the context of contemporary business models and globalisation trends. In our attempt to answer the question – Can a traditional organizational culture and global business coexist? – the constructs as research and innovation, teamwork, decision-making, risk taking, market orientation, and adaptation of organisational culture, are included in the methodological framework. A case study of Montenegro as a developing country in Southeastern Europe was used as a research method. Firstly, a desk review of relevant secondary literature sources related to organisational culture, in general and in the context of globalisation, was carried out. Secondly, the impact of globalisation and international business on the traditional organisational culture in the developing environment, was investigated using a survey as a data collection method

Prediction of sewage pipeline construction duration by introducing machine learning and deep learning approaches

Establishing project costs in construction is crucial for project success, typically done through regression methods for prediction. While these methods are common, novel regression methods are less practiced in construction management. This study explores both traditional and modern regression techniques, analyzing data from 83 sewage pipeline projects in South Korea. The study implemented state-of-the-art frameworks, including hyperparameter optimization and k-fold cross-validation, to evaluate statistic, machine learning and deep learning based regression models using R2 score, RMSE, MAE, and MSE. Results revealed that performance metrics don’t always align with predictive accuracy. For instance, the random forest regressor achieved the best R2 score of 0.847 but ranked fifth in prediction accuracy. Moreover, polynomial regression outperformed novel methods with a 98.790% accuracy across the validation dataset

Exploring BIM technology development using patent citation analysis: USA case study

Broadening the perspective on technology and stakeholders within the construction sector, this study aims to uncover the trajectories of BIM’s technological progression, alongside the interconnected industries and knowledge networks. Information in Derwent Innovation’s patent database originates from the United States Patent Database (USPTO). Initially, 1,062 patents related to BIM were gathered to form a patent citation network. The subsequent stage of expanding patent citations involved accumulating a total of 9,755 patents. The main path is composed of three streams: Stream I is used for the construction and application of 3D models, Stream II is used for the presentation of 3D images, and Stream III is used for the automatic analysis of architectural information. This study also uses edge-betweenness clustering for cluster analysis and conducts a more in-depth main path study of the specific patent clusters on the main path. These findings are: (1) Energy consumption management control, (2) 3D building modeling for design and construction, (3) Asset tracking, monitoring, and security monitoring. The development of BIM should be directed towards the integration and application of transformative information and communication technologies. Integration with innovative technologies such as the Internet of Things, big data, artificial intelligence, and 5G is an important trend. First published online 20 December 202

Calderón-Zygmund estimates for Schrödinger equations revisited

We establish a global Calderón-Zygmund estimate for a quasilinear elliptic equation with a potential. If the potential has a reverse Hölder property, then the estimate was known in [6]. In this note, we observe that the estimate remains valid when the potential is merely Lebesgue integrable. Our proof is short and elementary