Emotional intelligence (EI) has turned out to be one of the most significant concerns in the healthcare field, which impacts communication as well as coping with stress in the delivery of services in general. It was a research study which focused on the relationship that exists between emotional intelligence and operational efficiency (OE) in the multispecialty hospital in Vadodara, India. Stratified random sampling was used to obtain 37 nurses, 36administrative staff, 302 inpatient department (IPD) patients, and 388 outpatient department (OPD) patients as the data collection units for the study that had a cross-section analytical design. The scales used to measure EI were the validated nurse and administrative staff-specific scale, and those used to measure OE were a patient-reported scale based on standardized tools. The descriptive, correlation, and regression studies also demonstrated that the nurses demonstrated superior EI competencies relative to administrative personnel, particularly empathy and interpersonal awareness. The study focused on the connection between Emotional Intelligence (EI) and Operational Efficiency (OE) in a multispecialty hospital’s nurses and administration staff who were directly in touch with patients. There was a significant positive association between nurses’ EI and operational efficiency in both inpatient and outpatient settings, which means that the higher the EI, the better the patient experience and the more efficient the process. In contrast, administrators’ EI did not show a significant relationship with the operational results. The study results, thus, bring the message that EI, especially in the case of nurses, has a significant impact on the speed and quality of patient-centered care and even of the whole hospital, thus sending a signal for the necessity of EI training and communication strategies in healthcare systems.

India is at a crucial juncture in its transition to sustainable energy. As the nation strives to meet its ambitious targets of achieving net-zero emissions by 2070 and complete energy independence by 2047, it faces a major challenge: balancing rapid economic growth with environmental responsibility[1]. This dual imperative requires the adoption of innovative energy solutions that can sustain industrial expansion while significantly reducing carbon footprints. Green hydrogen is emerging as more than just an alternative energy source; it is becoming a key component of India's strategy to cut carbon emissions and drive a cleaner, more resilient energy future. This research paper provides a comprehensive analysis of the vital role green hydrogen plays in transforming India's energy sector. It explores the current state of India's energy infrastructure, highlighting the limitations of conventional fossil fuel dependence and the pressing need for cleaner alternatives. The paper investigates the mechanisms of hydrogen-based energy storage, emphasizing how green hydrogen—produced through renewable energy-powered electrolysis—offers a versatile and sustainable energy carrier. It evaluates the government's National Green Hydrogen Mission (NGHM), a flagship initiative aimed at scaling production capacity and creating an enabling ecosystem. Additionally, the study identifies significant barriers to green hydrogen implementation, including technological challenges, infrastructure gaps, cost constraints, and policy hurdles. The findings suggest that green hydrogen, when combined with smart grid management systems and data-driven decision-making, can address three critical needs simultaneously: ensuring grid stability during the shift to renewable energy, decarbonizing hard-to-tackle sectors such as heavy industry and transportation, and enhancing the efficiency of electricity distribution. By enabling energy storage and flexible power generation, green hydrogen helps mitigate the intermittency issues associated with solar and wind power, thus supporting a more reliable and resilient grid. Furthermore, its application in sectors that are traditionally difficult to electrify positions green hydrogen as a transformative solution for comprehensive decarbonization. By 2030, India's National Green Hydrogen Mission aims to produce 5 million metric tons (MMT) annually, supported by 125 GW of dedicated renewable capacity, which will generate over 600,000 jobs and prevent 50 MMT of CO₂ emissions[1]. This ambitious target reflects the government's commitment to fostering a robust green hydrogen ecosystem that integrates production, storage, and end-use applications.

Artificial intelligence (AI) is rapidly reshapes businesses globally, and also Indian enterprises are increasingly exploring its prospective to direct innovation and growth. This article inspects the landscape of AI adoption in Indian businesses, inscribing both the opportunities and challenges they face. It begins by decoding the hype neighbouring AI, separating myths from realistic conjecture and emphasizing the importance of tailored AI models for specific business needs. The article explore into the crucial role of building a data-driven culture, spotlight strategies for data sharing, conquer barriers, and establishing sustainable data practices. It further examines the hands-on challenges of AI implementation, including resource hindrances, model selection, data infrastructure, and the need to move beyond mere automatic operation to support AI for insightful decision-making. A key focus is on the progress plan, emphasizing ethical AI usage, constant learning, and the value of viewing AI as a strategic partner in long-term business growth. The article concludes by summarizing the key considerations for successful AI adoption, underline the importance of business owner attitudes, expert alliance, and employee understanding. By addressing these critical factors, Indian businesses can successfully tackle the power of AI to achieve sustainable growth and rivalry in the global market.

India is a country with a rural population, and the majority of its population resides in the villages to achieve the target of Vision Viksit Bharat‘by 2047 it is imperative to ensure the development of its villages. The rural economy is run by women, it consists of almost half of the social strata. Rural women are key stakeholders in the economic, social, and sustainable development of a country. A Self- help group (SHG) is an initiative to empower the poor and marginalized section of society started by the National Rural Livelihood Mission (NRLM). It helps to provide financial assistance to the entrepreneurs, enhance their capacity and skill to run the entrepreneur, and an opportunity to overcome entrepreneurial obstacles. Deendayal Antyodaya Yojana - National Rural livelihood mission (DAY- NRLM) and Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA) are major initiatives by Ministry of rural development to alleviate poverty. About 9.98 crore women households have constituted 90.39 lakh SHGs. In the current interim budget of the Government of India for the financial year 2024-25 a unique scheme "Lakhpati Didi" has been launched. It is one of the aspiring schemes under SHGs to provide financial coverage and promote women's entrepreneurship in society. Uttarakhand State Government is also very particular for promotion women entrepreneurship and self-help groups in the State. The success of an SHGs mainly depends on market orientation and dynamic exploratory capabilities. The study focuses on the performance of 250 SHGs working in four districts of Uttarakhand, the performance is measured on market orientation and dynamic exploratory capabilities. This is the first paper to empirically investigating the significant effect of ambidexterity on firm performance. The finding of the study indicates the role of each dimension for promotion of women SHGs in the State.

The study, with special reference to Jeyyam Global Foods, Salem (a firm that deals with pulses and gram products), aims to explore the impact of digital transformational practices in product and pricing strategies on sustainable consumer buying habits in the FMCG industry. Simple Random Sampling was used as a method for collecting the required data from 94 consumers using a 5-point Likert Scale method. Multiple Linear Regression, Principal Component Analysis using SPSS, Pearson Correlation, Two-Way ANOVA, etc., are the tools that are used. Furthermore, there is high positive correlation between price sensitivity and repurchase behaviour (r = 0.701, p < 0.01). Branding and features are significant positive influences on consumer behaviour (p < 0.001). Festival-based pricing promotions are the most significant predictors (Beta = 0.475, p < 0.001). One factor, namely customer loyalty and satisfaction, dominated the results, explaining 63.026% of the variance. The paper provides empirical evidence that in regional FMCG markets, digital product strategies (quality, cleanliness, branding) and pricing strategies have a significant impact on sustainable purchasing behaviour.

“Micro, Small, and Medium Enterprises” (MSMEs) play a pivotal role in the Indian economy, contributing significantly to industrial output, employment, and exports. Yet, the FP is typically limited not only by the effects of traditional financial factors but also by the effects of other, yet poorly studied, nonfinancial determinants. With this aim, this research attempts to bridge this gap and study the influence of “Financial Literacy” (FL), digital accounting practices, and market competition on the economic performance of MSMEs in India's MS. “Structural Equation Modelling” (SEM) is used on data collected using a structured questionnaire containing 384 MSMEs to study the interaction between these nonfinancial factors and “Financial Performance” (FP) indicators such as solvency, liquidity, and profitability. Key findings reveal that FL plays a part in changing the capability of MSME owners to build financial decisions and subsequently progress financial outcomes. Additionally, digital accounting tools are positively connected with finance and business management, operational efficiency, and transparency. The other important finding of the study is that market competition also influences FP by forcing firms to innovate, implement best practices, and optimize their operations. The results imply that financial records, as detailed by traditional accounts, are essential, but there are also nonfinancial variables that include digital tools and financial knowledge, which are equally important in shaping long-term MSME success. The contribution of the research in this paper is its wide-ranging analysis of the nonfinancial determinants of MSME performance and implications for the policymakers, managers, and financial institutions on how to improve financial management and promote the sustainable growth of the MSMEs.

Healthcare and pharmaceutical supply chains constitute a critical backbone for the delivery of clinical services and public health outcomes. Recent global disruptions, including pandemics, geopolitical instability, and demand–supply mismatches, have exposed structural inefficiencies and systemic vulnerabilities within these networks. This study investigates the role of strategic optimization in strengthening supply chain resilience and operational efficiency. A pilot study was conducted with 225 respondents drawn from healthcare institutions, pharmaceutical firms, and logistics providers. The analysis employs statistical techniques, particularly Analysis of Variance (ANOVA), to examine the influence of key determinants such as risk mitigation practices, digital supply chain integration, supplier base diversification, and demand forecasting accuracy on overall supply chain performance. The empirical results demonstrate that integrated and data-driven strategies significantly enhance adaptability, responsiveness, and efficiency. The study further develops a conceptual optimization framework and provides actionable insights for improving robustness and continuity in healthcare supply systems.