International Journal of Engineering and Management Research
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Aligning Organisational Culture with Change Management in Modern Healthcare
Full text linkOrganisational culture is very important in either failure or success of change management programs in the modern healthcare systems. With the recent rapid technological innovation, frequent changes in the regulations, limited workforce, and growing expectations among patients, healthcare organisations need to keep evolving so as to keep up with the changing environment and keep afloat. Organisational culture, which is based on underlying values, beliefs and norms, has a significant impact on the perception, acceptance, and implementation of change by the healthcare professionals. The culture of promoting adaptability, teamwork, transparency, and patient-centred care can assist the easier transition in the phase of change and promote a positive reaction among employees.
One of the cultural aspects that determine the results of change in healthcare is leadership style. When leader encourages open communication, collective decision making and trust, these leaders are more likely to achieve commitment of the staff and minimise resistance to change. Efficient patterns of communication make sure that employees are well aware of the intention, advantages, and anticipated results of change initiatives, and thus reduce the uncertainty, anxiety. Moreover, engaged employees will increase ownership and responsibility, which will improve the sustainability of change in the long term.
On the other hand, the strict hierarchical order, lack of innovation, and poor communication may serve as the significant cultural obstacles to successful change management. These difficulties usually result in low morale, delays in implementation, and poor quality of care. Thus, healthcare organisations should be eager to evaluate their current culture and harmonise it
A Study on the Performance of PGI with Reference to West Bengal
Full text linkThe Ministry of Education created the Performance Grading Index (PGI) to measure the quality of school education in all of India’s States and Union Territories. This study looks at PGI reports to find out why performance varies, what strengths and weaknesses there are, and what factors affect differences between states. The PGI framework examines aspects such as learning outcomes, access, infrastructure, equity, teacher availability, and governance. Recent PGI cycles show significant differences between states. Some perform well due to strong governance and robust infrastructure, while others face challenges such as inadequate teacher availability, low learning levels, and limited resources. The study highlights the importance of PGI in encouraging evidence-based reforms, accountability, and transparency. It also identifies patterns, gaps, and opportunities for targeted interventions that can improve education across the country.
This study further examines methods to enhance West Bengal’s Performance Grading Index by benchmarking it against higher-performing states in India. PGI evaluates parameters such as access, infrastructure, equity, teacher management, and governance. The study identifies specific strategies for improvement by analysing best practices from other states. These include enhancing teacher professional development, expanding digital and classroom infrastructure, improving early grade learning programs, and implementing data-driven governance. If these changes are implemented, West Bengal’s PGI performance can improve significantly, along with the overall quality of education in the state
No One Can Hide: Indian Public Sector Banks’ Performance Evaluation Through OBSI: A Re- Fe Panel Approach
Full text linkIn recent years, increased competition, regulatory reform laws, new financial market breakthroughs, lower deposit earnings and the purchase of funds for subsequent financial intermediary in contingent assets and liabilities, and the rapid growth and dissemination of new technologies have all prompted banks to enter the new OBSI arena. To assess the impact of these OBSI in the performance of the large public bank in India for a decade, we used multiple regression models with a proper test of model fit and robustness. We used three main performance parameter risk, profitability and leverage to regress within multidimensional with the set of OBS items. We found mix impact of OBSI in the performance of these large banks as all factors of risk and liquidity were insignificant but ROE as a major factor of profitability was found significant role in the performance
The Impact of Digital Payment Apps (UPI, Paytm, Apple Pay) on Spending Behavior: A Comprehensive Analysis
Full text linkThe global financial arena has experienced a dramatic transformation with the plenty of digital payment apps, including the Unified Payments Interface (UPI) in India, mobile wallets like Paytm, and contactless payment solutions like Apple Pay. This paper investigates the profound impact of these technologies on consumer spending behavior, examining the shift from physical to cashless transactions. Based on literature reviews and industry reports the research highlights that while digital payments enhance convenience and security, they significantly alter spending habits by reducing the "pain of paying," accelerating impulse purchases, increasing consumption of non-essential goods, and reducing the tangible awareness of expenses. The study finds that digital payment adopters tend to display higher spending frequencies, particularly among youth and urban demographics
Data-Driven Marketing Strategies for Start-Up Companies: A Literature-Based Analytical Study
Full text linkIn an increasingly competitive and digitally-driven marketplace, start-up companies face significant challenges in acquiring, retaining, and engaging customers with limited resources. Data-driven marketing has emerged as a critical strategic approach that enables start-ups to make informed decisions, personalize customer experiences, and optimize marketing performance. This study consolidates the existing literature to examine the role of data-driven marketing strategies in enhancing the growth, efficiency, and sustainability of start-up enterprises. Using a systematic literature review methodology, the study analyzes prior studies related to marketing analytics, customer data utilization, performance measurement, and digital tools adopted by start-ups. The findings reveal that data-driven marketing significantly improves targeting efficiency, customer engagement, and return on marketing investment, while also presenting challenges related to data quality, technological capability, and skill gaps. The study identifies critical research gaps and provides practical insights for entrepreneurs, marketers, and researchers, highlighting future research directions in data-driven decision-making for start-ups
Historical Analysis of the Nifty Midcap 100 Index Returns and its Potential to Create Wealth in Long Term
Full text linkAmsterdam Stock Exchange was the first stock exchange of the world and it was established in 1602.1 New York stock exchange of USA was established in 1792.2 Bombay stock exchange of India was established in 1975 3 and Nifty 50 was established in 1996. 4 Nifty midcap 100 index was started in 20055. We observe Indian history of stock trading is not very old, it is very new when compared to other stock exchanges of the world. Study exhibits returns i.e. compounded annual growth rate CAGR and volatility of Nifty mid cap 100 to help investors to understand it in a simple way
Strategic Management of Mineral Resources in China: Economic, Environmental, and Policy Perspectives
Full text linkThis study examines the strategic management of mineral resources in China, integrating economic, environmental, and policy perspectives. Using a mixed-methods approach, we analyze the economic impacts, environmental sustainability, and policy frameworks governing mineral resource management in China. Our findings highlight the critical role of corporate governance, sustainable practices, and policy innovations in enhancing the efficiency and sustainability of mineral resource management. We propose a comprehensive framework that balances economic growth with environmental protection, offering actionable insights for policymakers and industry stakeholders. This study contributes to the literature by providing a detailed analysis of the Chinese context, identifying gaps in current practices, and suggesting future directions for sustainable resource management
Analyzing the Impact of Systematic Risk, Market Capitalization and Firm Size on the Financial Performance of Selected Companies Listed in SENSEX
Full text linkOur Study evaluates that the impact of systematic risk, market valuation and firm size on the financial performance of selected Sensex companies. The objective of our study is to identify which factors most strongly influence annual stock returns and provide direction for investors and portfolio managers. In our study, data collected from 25 companies over the period 2021–2025 were analyzed using descriptive statistics, normality tests, correlation, regression and ANOVA analysis test. Descriptive analysis showed variation in total returns, risk measures and market valuation indicators. Normality tests confirmed the data distribution was suitable for further statistical analysis. Correlation results indicated weak to moderate relationships between financial performance and independent variables. Another statistical tool that is Regression analysis highlighted that firm size which is measured by market capitalization, has a significant negative effect on total annual return, whereas systematic risk, price-to-earnings ratio, and price-to-book value ratio were not significant predictors. ANOVA stated that there was no significant differences in returns across financial years, suggesting relative stability over time. In our study the findings suggest that firm size is a key determinant of stock performance in the Indian equity market. This study provides empirical evidence that can assist investors and portfolio managers in making informed decisions and prioritizing firm size when evaluating stock returns
Ontology Based Personalized Diet Recommendation System for Sri Lankan
Full text linkHectic lifestyles and health neglect are prime causes of non-communicable diseases. Healthy diets help to prevent various non-communicable diseases such as diabetics, pressure, cholesterol etc. However, due to the busy life cycle, people do not have time to consult dietitians and get their meal plans. The diet recommendation system can solve this issue by providing a fingerprint distance response. In this study, we developed ontology based Recurrent Neural Network- Long Short-Term Memory (RNN -LSTM) model for diet recommendation in Sri Lankan context. This system recommends diet plans for breakfast, lunch and dinner based on user’s calorie requirements, macronutrient needs, user preference, cultural background, dietary restriction and disease information. We developed ontology, which consists of food related information including their nutrients values. Then we developed RNN–LSTM model to predict target macronutrient values based on user information such as age, BMI, BMR and diseases information. The RNN-LSTM model demonstrated high performance with an R-squared value of 0.9704, a Pearson correlation coefficient of 0.9869, a mean squared error of 0.0209, a mean absolute error of 0.1239, and a root mean squared error of 0.1703. These metrics indicate that the RNN-LSTM model provided accurate predictions with a strong positive linear relationship between the actual and predicted value. Additionally, the RNN-LSTM model was compared with the KNN model using the same dataset. The RNN-LSTM model outperformed the KNN model across all evaluation metrics. Using content-based filtering and cosine similarity between target nutrient values and food nutrient values, the system recommends food for three meals. This recommendation properly aligns with the nutrient’s needs and calorie needs. Finally, we can conclude that there is greater potential for future work in the field of food recommendation using Artificial Intelligence. Future work of this study involves further development of an ontology based RNN model combined with micronutrient needs
Eco-Friendly Synthesis of Copper Nanoparticles Using Aconitum Heterophyllum Extract and Its Antibacterial Evaluation
Full text linkCopper nanoparticles (CuNPs) were successfully synthesized via an eco-friendly green method using Aconitum heterophyllum extract, which acts as a reducing as well as stabilizing agent. The biosynthesis involved the reaction of copper sulfate with the plant extract in deionized water, forming well-dispersed, uniform, and stable CuNPs. This rapid and cost-effective method is environmentally benign and enhances the functional properties of the nanoparticles. The synthesized CuNPs were characterized using UV-Vis spectroscopy (revealing a distinct absorption peak), high-resolution transmission electron microscopy (HR-TEM) for morphological analysis, and energy-dispersive X-ray spectroscopy (EDX) for elemental composition. Antimicrobial tests confirmed the potent antibacterial activity of the CuNPs, demonstrating significant inhibition zones against both Gram-positive and Gram-negative bacterial strains. This study highlights A. heterophyllum as a sustainable and effective bioresource for CuNP synthesis with promising applications in nanotechnology, biomedical treatment, and antimicrobial formulations