Metallurgical and Materials Engineering (E-Journal)
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The Impact Of Organizational Culture On Employee Performance: A Study Of Leadership Styles And Workplace Productivity
Get PDFIn the rapidly evolving business environment, organizational culture has emerged as a critical determinant of employee performance, shaping the overall dynamics of workplace productivity. This study examines the intricate relationship between organizational culture and employee performance, with a particular focus on the mediating role of leadership styles. Drawing from multidisciplinary perspectives, the research explores how shared values, norms, and behavioral expectations within organizations influence individual and collective work outcomes. It further evaluates how various leadership approaches—transformational, transactional, and laissez-faire—either reinforce or hinder the establishment of a positive organizational culture conducive to high performance. The methodology employed combines both qualitative and quantitative techniques. A structured questionnaire was distributed among mid-level employees across diverse sectors including technology, manufacturing, and healthcare. In-depth interviews with managers and team leaders supplemented the quantitative data, providing rich insights into how leadership behaviors influence employee morale, engagement, and output. Data analysis reveals that organizations characterized by collaborative, inclusive, and innovation-driven cultures reported higher levels of employee satisfaction and productivity. These environments often coincide with transformational leadership, where leaders inspire, motivate, and engage with their teams beyond transactional exchanges. Conversely, cultures dominated by rigid hierarchies, limited communication, and authoritative leadership styles were found to correlate with lower employee performance metrics and higher turnover intentions. Interestingly, the study identifies a significant moderating effect of leadership style on the culture-performance link, suggesting that leadership not only shapes culture but also mediates its impact on productivity. For example, in organizations with a traditionally hierarchical culture, leaders who adopt a participatory or coaching-based style can significantly offset negative cultural effects and improve team performance outcomes. The research also emphasizes the bidirectional nature of culture and leadership—while leaders influence cultural development, the existing culture also constrains or facilitates specific leadership behaviors. This reciprocal dynamic suggests that sustainable productivity growth is contingent upon the alignment between leadership practices and organizational cultural values. In conclusion, this study underscores the necessity for leaders to cultivate adaptive, people-centric cultures that prioritize continuous feedback, mutual respect, and innovation. Organizations aiming for long-term success must invest in leadership development programs that align with cultural transformation strategies. These findings offer practical implications for HR professionals, organizational strategists, and executives seeking to enhance performance by building resilient, value-driven workplace ecosystems
Optimizing Construction Project Performance In Asir, Saudi Arabia: A KPI Perspective
Get PDFThis research aims to identify and evaluate key performance indicators (KPIs) used to monitor construction project performance. KPIs are essential for assessing project success by measuring primary and subsidiary indicators, providing stakeholders with critical insights for informed decision-making. They ensure projects meet time, cost, quality, and safety standards. The study identifies the most commonly used KPIs in construction projects through a comprehensive literature review, prior research analysis, and the researcher’s expertise. Surveys were conducted to assess awareness and usage of performance indicators among stakeholders. Additionally, a second survey evaluated the significance of 14 widely recognized KPIs and four additional indicators identified by the researcher. To gain deeper insights, three interviews were conducted with key industry figures, including company executives and project managers, focusing on specific indicators. These discussions provided a comprehensive understanding of the role and impact of each KPI in construction project management. The analysis of survey and interview results led to the identification and ranking of 18 key indicators based on their importance in evaluating project performance. The study highlights the most significant findings and offers recommendations for best practices in KPI implementation. These recommendations aim to enhance the accuracy, clarity, and usability of performance measurement, ensuring that results are meaningful and easily interpretable for all stakeholders. By establishing a structured approach to KPI assessment, this research contributes to improving project monitoring and decision-making in the construction industry, particularly in Saudi Arabia’s Asir regio
Thermo-Mechanical Modeling And Residual Stress Analysis In WEDM Of Ti-6Al-4V ELI Using Python-Based Computational Framework
Get PDFThis study comprise of a comprehensive computational framework is developed using Python programming to simulate the residual stress distribution and phase transformation behavior in Wire Electrical Discharge Machining (WEDM) of Ti-6Al-4V ELI alloy. The proposed model integrates dynamic spark energy input, heat conduction, thermo-mechanical coupling, and phase kinetics to capture the complex interplay of thermal, metallurgical, and mechanical phenomena that define surface integrity in WEDM. A multi-physics, time-dependent approach is adopted, accounting for rapid melting and quenching cycles, latent heat effects, thermal dilation, and microstructural evolution, including martensitic (α′) and ω-phase transformations. A multi-spark thermal model is employed to realistically simulate dynamic discharge behavior and predict heat deposition. The framework solves the transient heat conduction equation coupled with convective and radiative boundary conditions, phase transformation kinetics, and residual stress evolution by considering thermal stress, transformation-induced stress, plastic deformation, and volumetric strain effects. Material properties, including temperature-dependent thermal and mechanical characteristics, are incorporated into the simulation for high-fidelity modeling. The proposed computational approach provides a physics-based understanding of residual stress generation in WEDM at high, medium, and low energy levels, enabling improved control over residual stresses and microstructural properties in precision manufacturing of Ti-6Al-4V ELI components
Ai-Powered Chacha Chaudhary Mascot For Ganga Conservation Awareness
Get PDFThis paper focuses on implementing an AI-powered digital avatar and interactive robot mascot inspired by the popular Indian character Chacha Chaudhary to promote Ganga River conservation. The mascot will serve as an engaging and educational tool to raise awareness about the river’s importance and pollution issues, particularly among younger generations. By Using artificial intelligence and machine learning, the mascot will offer interactive conversations, real-time feedback, and also help in multiple Indian languages to make it accessible and relatable to different communities. The project aims to drive behavioral change by encouraging sustainable practices through dynamic engagement, storytelling. Ultimately, the mascot will act as a digital ambassador, encouraging the development of a cultural and emotional connection to the Ganga River and promoting long-term conservation efforts
A Metaheuristic Framework For The Pooling Problem: Application Of The Firefly Algorithm
Get PDFThis paper investigates the optimization of pooling problems, especially the use of the Firefly Algorithm (FA), including a Proposed FA with self-adaptive properties, to solve the Haverly Pooling Problem in three distinct contexts. Using MATLAB simulations, the study evaluates the effectiveness of FA and Proposed FA in comparison to traditional optimization methods, including MSLP, MALT, and VNS. Pooling problems involve the combination of raw materials with various qualities to create final products that meet specific quality criteria, a task made more difficult by the non-linear complexity of the issue. Experiments on Haverly's pooling issues used the algorithms, and their results were contrasted with the exact answers. While the Proposed FA gets a near-optimal value of 400.25 for Haverly 1, making it almost undetectable from the exact solution, the exact answer is 400. Haverly 2's exact answer is 600; the Proposed FA, which shows a small overestimation of 0.87%, produces 605.23. With the exact answer of 750, Haverly 3 shows strong performance with the Proposed FA, which produces 748.96, only 0.14% lower than the accurate solution. The findings show that in every case the Proposed FA either exceeds or closely matches the exact solution, outperforming rival algorithms like MSLP, MALT, and VNS, which showed more variation. The Proposed FA's use of a self-adaptive step size improves the exploitation and exploration of the search space, hence producing very precise outcomes. This study finds that the Proposed FA is an effective optimization tool for solving pooling issues, showing improved performance compared to traditional optimization methods
Smart Cities and Green Energy: Integrating Civil Engineering, AI, and Environmental Policy
Get PDFThis study looks into how combining civil engineering, AI, and environmental policy can aid in developing smart cities that depend on green power. A number of researchers assess whether Support Vector Machines (SVM), Random Forest (RF), Neural Networks (NN), and Gradient Boosting (GB) would be good for improving energy usage, building strong infrastructure, and assisting the environment. Gradient Boosting, based on the experiments, reached an accuracy level of 92.4% for predicting energy demand, which was more accurate than Neural Networks’ 90.1%, Random Forest’s 88.7%, and SVM’s 85.3%. GB’s approach cut carbon emissions by 18% better than NN, and NN better than RF, by 3%. The use of AI by civil engineers and policy makers results in cities being quicker to respond and better for the environment and infrastructure. Examining similar models has shown that the framework better predicts outcomes and uses less energy. Combining several fields, it addresses big challenges in cities by streamlining energy use, dealing with existing problems early, and making better decisions in policy making. Many useful tips for future smart cities are included in the study
Phish Defender: Real-Time Detection Of Phishing Websites Using A Browser Extension
Get PDFPhishing attacks are a major cyber security threat, helping users to disclose sensitive information through misleading websites that affect reliable sources. This paper presents the Phishdefender, which is a real -time phishing detection system that has been applied as a browser extension. The system examines henuristic analysis, URL structural inspection, material filtering and domain reputation to identify and respond to suspicious websites. Once a possible fishing attempt is discovered, the extension consumes the user with a warning banner and later redesigned them to a safe interface from the malicious site. Unlike traditional systems, which rely on heavy computational models, the Phishdefender provides a mild, skilled and user friendly solution that ensures active safety during everyday browsing. Experimental assessment displays its high identification accuracy and accountability, making it a practical tool to increase user safety in real -world landscapes
Psychology Of Learner’s In Developing Listening Skill Through Mobile Application
Get PDFThe ability of listening is one of the difficult skills to develop yet is essential to the communication process. It is challenging to define this concept because of its complexity. The ability to listen has been seen as a multi-dimensional activity and a competency. It's important to identify the challenges that student faces when listening to texts in a foreign language if you want to help them improve their listening skill. Listening comprehension difficulties have three sources: those connected with the listeners, speakers and with the outer factors. Students’ learning has been extended by using various online technologies and techniques with the help of ubiquitous technology. Technology plays an essential role in the educational environment and also it helped in broadening the perspective of language learning. The psychology of the students towards listening skill has been changed and they find more comfortable and convenient with the help of mobile application which helped them to develop their listening skill. A questionnaire has helped in finding the individual student’s psychological and phonological language learning through listening comprehension. This paper has discussed in detail about the psychology of the learners and the use of mobile application among the students who has been made to use the technology I developing their listening skill
Building Scalable Solar Solutions: A Product Management Approach To Photovoltaic Infrastructure And Smart Grid Readiness
Get PDFThe global transition to renewable energy hinges on the ability to scale photovoltaic (PV) infrastructure efficiently while ensuring compatibility with modern smart grids. This study presents an integrated product management framework to evaluate and enhance the scalability of solar solutions across six countries—Germany, India, Kenya, Brazil, Australia, and South Africa. Key variables such as solar irradiance, LCOE, system efficiency, deployment costs, maintenance frequency, and user adoption were analyzed alongside smart grid readiness parameters, including demand-response capability, grid automation, and cybersecurity. A Solar Scalability Index (SSI) was developed using multivariate statistical techniques to quantify readiness for expansion. Results indicate that while Australia and Germany lead in scalability and smart grid integration, emerging economies face infrastructural and strategic gaps. Product management strategies—mapped through a heatmap—revealed that consistent, phase-specific planning enhances scalability outcomes. The findings emphasize that aligning technology, infrastructure, and product lifecycle management is essential for developing resilient and scalable solar ecosystems
The Role of Artificial Intelligence in Shaping Economic Analysis and Finance: An In-Depth Study
Get PDFArtificial Intelligence (AI) is revolutionizing the way economies are analyzed and financial decisions are made. This paper delves into the profound impact of AI on economic analysis and finance, exploring its transformative potential and the challenges it presents. By examining the integration of AI technologies in economic modeling, financial forecasting, risk assessment, and decision-making processes, the study highlights the evolving landscape of economic and financial analysis. Through a comprehensive review of existing literature and real-world applications, the paper aims to provide insights into how AI is reshaping traditional methodologies and fostering innovation in the field. The findings underscore the need for adaptive regulatory frameworks, interdisciplinary collaboration, and continuous learning to harness the full benefits of AI in economic and financial contexts. 2