International Journal of Engineering and Management Research
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Surface Characterization of Duplex Surface Treatments: AISI H13 Tool Steel
Full text linkThis research provides an extensive analysis of duplex-treated AISI H13 tool steel after gas nitriding and coating application with Titanium Carbide (TiC) combined with Chromium Nitride (CrN) and Aluminum Titanium Nitride (AlTiN). The popular tooling material of AISI H13 received 24-hour gas nitriding at 400 °C to form its nitrogen-enriched outer layer. Each coating received equivalent deposition parameters after the base conditions for maintenance of consistent outcomes between specimens. The SEM analysis together with EDS and XRD methods was used for investigating phase transformations and elemental dispersal patterns in the treated coatings. The mechanical property analysis used Vickers microhardness testing methodology. A hardness measurement of 242 HV was recorded for the untreated material but the amount increased to 1062 HV after the nitriding process. Among the different coatings AlTiN achieved the greatest surface hardness level at 2811 HV while TiC reached 2717 HV and CrN settled at 2105 HV. The study confirms that duplex surface treatment enhances H13 tool steel durability and its resistance to wear by showing AlTiN as the superior coating for demanding operating conditions with high heat and load requirements
A Study on the Impact of E-Commerce of Cosmetic Products in Oman
Full text linkThe research discussed the topic (Study on the Impact of E-Commerce of Cosmetic Products in Oman). In today\u27s global cosmetic sector landscape, the growth of e-commerce platforms has triggered dramatic shifts, changing consumer behaviours and competitive dynamics. Oman, being a quickly expanding market, has witnessed this paradigm shift, with the introduction of e-commerce causing significant changes in the cosmetics business. This graduation project seeks to examine and assess the effects of e-commerce on the cosmetic products market in Oman, diving into a variety of topics such as consumer preferences, market trends, regulatory frameworks, and strategic manoeuvres used by major parties.
The research focuses on Provalo Cosmetics, a premium business based in India that sells a line of natural skincare products made with organic components and scientific precision. Provalo Cosmetics, founded by Parth Thaker and Meet Mehta, is dedicated to redefining skincare through a combination of nature and technology, meeting today\u27s consumer demands for efficacy, safety, and sustainability. The company\u27s ethos revolves upon providing honest, natural, and scientifically supported beauty products, while also cultivating a culture of skin and environmental care.
The study outlines the purpose, background, problem statement, goals, scope, importance, and constraints of the research project. It clarifies how Oman\u27s cosmetics business is expanding rapidly due to changing beauty standards and disposable incomes, all of which are being challenged by e-commerce. While the study aims to provide industry stakeholders with actionable information, the research questions attempt to elucidate the complexities of cosmetic consumption patterns, branding strategies, and market competitiveness within the Omani environment. To sum up, this graduate study provides an in-depth analysis of how e-commerce has affected Oman\u27s cosmetics business, with a particular emphasis on face wash products. Businesses navigating the ever-changing Omani cosmetics market will benefit greatly from the research\u27s insightful examination of consumer behavior, market dynamics, and strategic imperatives. The study highlights the significant influence of e-commerce in determining current consumer preferences and market trends, even if it also acknowledges its inherent limits. This helps to facilitate well-informed decision-making and tactical interventions in the digital marketplace
Cutting-edge Tech Integration in Education and Teaching Practices
No full textThis paper provides a comprehensive analysis of the intersection between emerging technologies and pedagogical approaches in modern education. It explores how innovations such as Artificial Intelligence (AI), Virtual Reality (VR), gamification, and Learning Management Systems (LMS) are transforming traditional teaching and learning models. Despite the growing adoption of these technologies, there remains a gap in research regarding their long-term effectiveness, the adaptability of educators, and the disparities in access across different educational settings. This study aims to address this gap by identifying the most influential technologies in education, assessing their impact on pedagogical strategies, and examining the challenges educators face in integrating these tools into their practice.
Using a secondary research methodology, this study synthesizes existing literature, reports, and case studies to evaluate trends and challenges in educational technology adoption. Key findings indicate that while these technologies offer significant benefits, including personalized learning, increased student engagement, and improved accessibility, their implementation is often hindered by barriers such as resistance to change, infrastructure limitations, and digital equity concerns. The paper highlights the importance of aligning teaching methodologies with technological advancements to foster dynamic, student-centered learning environments. Understanding the intersection of these technologies with contemporary pedagogies is essential for educators, policymakers, and institutions to effectively navigate and adapt to the evolving educational landscape
Risk and Return Dynamics of Top Five Cryptocurrencies: A Comprehensive Analysis using an EGARCH-Based Analysis of Asymmetry and Tail Risk
Full text linkThis study examines the risk and returns dynamics of five leading cryptocurrencies—Bitcoin, Ethereum, Binance Coin, Tether, and XRP—over the period from January 2018 to December 2024. Using a combination of traditional and advanced quantitative methods, the analysis incorporates Value at Risk (VaR), Expected Shortfall (ES), and the Exponential Generalised Autoregressive Conditional Heteroskedasticity (EGARCH) model to explore asymmetry and tail behaviour in return distributions. The results show substantial heterogeneity in volatility, risk asymmetry, and persistence, particularly between speculative assets and stablecoins. Tether consistently exhibits low volatility and tail risk, reinforcing its role as a stabilising instrument. EGARCH estimates reveal significant leverage effects in Bitcoin and Ethereum, highlighting the asymmetric impact of negative news on volatility. Rolling-window statistics further capture the time-varying nature of skewness, kurtosis and volatility across assets. These findings provide empirical evidence for the importance of adaptive and asset-specific risk strategies in cryptocurrency markets and contribute to the evolving literature on digital asset risk management
Key Factors Contributing to Startup Failure in the Early Stages
Full text linkStartups are often seen as the engines of innovation and economic growth, yet the majority of them don\u27t survive beyond their early years. This research explores why so many promising ventures fail to achieve long-term sustainability. Drawing on academic studies, industry reports, and real-world examples, this paper identifies the key contributors to early-stage startup failure: market misalignment, poor financial planning, weak leadership, and an inability to adapt. By examining case studies such as Theranos, Quibi, and Jawbone, this paper not only analyzes failure patterns but also offers practical strategies to help founders avoid common pitfalls and improve their odds of success
Beyond Screens and Streams: Reimagining EdTech Pedagogy through Social Media Synergy-A Study with Special Reference to Selected Edtech Companies
Full text linkEducational technology (EdTech) platforms increasingly depend on social media to attract learners, build trust and gather feedback. This study examines how social‑media factors including design, trust, targeting and challenges affect the operational performance and societal impact of EdTech companies. We propose a hybrid structural equation model (SEM) where social‑media design quality, perceived trust and targeting accuracy directly influence awareness and EdTech operations and indirectly affect the overall impact through intermediate constructs such as emerging reality and EdTech operations. Data for the model were collected through a survey of employees at EdTech firms; PLS‑SEM analysis confirmed strong relationships between social‑media marketing (SMM) and consumer brand engagement, which in turn influenced purchase intention. The model also identifies challenges such as platform algorithms, budget constraints and content overload—as barriers that feed back into operations.Research motivations stem from recent findings: group‑based social‑media interventions improved learning gains during the pandemic yet digital inequalities persist and access alone does not ensure equity. Additionally, EdTech firms face rising competition and must align marketing strategies with user engagement. Our SEM illustrates that high‑quality content and meaningful interaction strengthen emotional connections and brand engagement, thereby enhancing user satisfaction and operational effectiveness. Compared with traditional digital marketing, the proposed model integrates makespan and resource allocation concepts from manufacturing scheduling into the scheduling of social‑media campaigns, seeking to balance responsiveness (through shorter decision cycles) with resource utilisation (e.g., content creation, analytics). By mapping multi‑directional effects among constructs—design, trust, targeting, challenges, awareness, emerging reality, EdTech operations and impact—our model highlights how EdTech companies can strategically deploy social media to achieve both efficiency and equitable reach. The findings contribute to the growing literature on digital learning and provide practical guidance for EdTech managers aiming to optimise social‑media strategies and operations
Biometric Identification using Facial Vein Patterns
Full text linkBiometric systems play a crucial role in personal identification, leveraging the reliability and distinctiveness of physiological or behavioral traits. Among these, vein patterns in the face have gained attention for their stability and security, offering a robust method for biometric identification. This paper focuses on advancing the field with a Face Veins Based MCMT Technique. This technique utilizes a Multi-Channel Multi-Threshold approach to enhance accuracy and reliability in identifying individuals based on their unique vein patterns. By exploring the development and application of this innovative technique, the research aims to contribute to the evolution of biometric systems, addressing challenges and improving the efficacy of personal identification technologies
GIS-Based Landslide Mapping and Analysis using QGIS: A Study in Palakkad, Kerala
Full text linkLandslides are a major natural hazard in hilly regions, posturing critical dangers to life, infrastructure, and the environment. This study centers on landslide vulnerability mapping in Veezhumala, Palakkad, utilizing QGIS as the essential apparatus for geospatial investigation. Different conditioning components such as slope, elevation, aspect, soil type, land use, and rainfall patterns have been considered to evaluate landslide-prone regions.Information collection included getting Digital Elevation Models (DEMs), meteorological rainfall data, and chronicled landslide events. Thematic maps for each calculate were generated in QGIS to establish their spatial dispersion and impact on landslide vulnerability. The another stage of the ponder will include applying the Evidence-Based Frequency (EBF) Method, which can assign probability weights to each calculate based on its relationship with past landslides. This will empower the creation of a landslide vulnerability index, categorizing the think about region into distinctive chance zones.The discoveries of this study will contribute to disaster readiness, urban planning, and natural administration by recognizing high-risk zones and suggesting moderation measures. The ultimate vulnerability outline will serve as a important instrument for policymakers, engineers, and nearby specialists in landslide risk evaluation and administration methodologies
Determinants of the Social Media Influence on the Consumers’ Travel Decision Making Process
Full text linkPurpose – The purpose of this study is to ascertain how customers use social media for travel-related decision making at their three stages of the travel namely, pre-travel, during the travel and the post travel decision making.
Design/Methodology/Approach – After analyzing the relevant literature, a quantitative investigation was carried out using structured questionnaire. A questionnaire with identified items in the three stages was used to gather the primary data from the consumers who have used social media for their travel related decision making, and a statistical package was used to analyze the findings.
Findings – A theoretical framework was developed and the developed model was validated by determining the elements influencing social media use for travel-related reasons at the three stages of decision making.
Research Limitations/Implications – The respondents were chosen solely from the state of West Bengal, and the sample was not chosen at random. The study might have a difficulty with generalization, particularly when it comes to marketplaces with significantly distinct cultural traits.
Practical Implications – The study\u27s conclusions might help researchers and industry professionals comprehend social media and Web 2.0 technologies and how they affect customers in their travel related decision making.
Originality/Value – Social media use is one of the main factors influencing consumer behavior and travel marketing in recent years. Understanding these trends and how they affect consumer behavior is crucial because they could affect how travel-related information is distributed and made accessible
Disruptive Financial Technologies: A Comprehensive Analysis of Blockchain, AI-driven Analytics, and Digital Payment Systems in Modern Financial Ecosystems—Implications for Syria\u27s Financial Sector
Full text linkThis research paper explores the transformative impact of disruptive financial technologies on contemporary financial ecosystems, with a particular emphasis on their implications for Syria’s financial sector. It presents a comprehensive analysis of blockchain technology, AI-driven analytics, and digital payment systems, critically evaluating their potential to reshape financial structures and operations. The study investigates how these technologies could address the unique challenges and latent opportunities within Syria’s financial system—challenges shaped by prolonged conflict, economic sanctions, and restricted access to conventional financial services. It further examines the associated risks and rewards of integrating these innovations in the Syrian context, providing practical insights into necessary regulatory frameworks, infrastructure development, and capacity-building measures.
The rapid proliferation of disruptive technologies has already driven profound shifts across multiple dimensions of modern economic and social life, and this trajectory is poised to intensify. This research contributes to the scholarly discourse by offering a structured framework for understanding the role of disruptive financial technologies in advancing financial inclusion, fostering economic development, and strengthening resilience in conflict-affected and fragile regions.
The ascent of FinTech has accelerated system connectivity and computing capabilities, unlocking vast new streams of actionable data. These advancements hold significant promise for transforming core financial services, including retail banking, investment management, and payment processing, while simultaneously promoting financial literacy and enhancing individual money management practices.
The ongoing wave of technological innovation—collectively known as “FinTech”—is driving substantial change within the global financial sector, responding to growing consumer demands for trust, security, privacy, and improved service quality. This new generation of financial technologies spans automated investment advice, peer-to-peer (P2P) lending platforms, mobile payment solutions, blockchain-based transaction systems, and sophisticated algorithms for fraud detection and risk management, all of which are redefining traditional financial models