This study investigates the impact of social media on consumer decision-making regarding food choices, focusing on four key variables: food images, online food reviews, peer influence, and social networking sites. Using a structured questionnaire distributed to 380 social media users in Nepal, the research employed a descriptive and analytical design with convenience sampling. Statistical analyses, including correlation, ANOVA, and regression tests, were conducted using SPSS. Findings reveal a significant relationship between peer influence and consumer food choices, indicating that social connections play a pivotal role in shaping preferences. The study suggests that restaurant marketing strategies should leverage peer dynamics and group-based promotions to attract customers. Limitations include the exclusion of non-social media users and potential omission of other influencing factors.

The merging of internet websites has imposed heavily on the recruitment strategies in the higher education market, and LinkedIn has become a top recruitment tool for academic recruitments. This research is a bibliometric study of assessing the academic culture of LinkedIn's impact on academic recruitment processes between 1975 and 2023. Relying on Scopus and Web of Science data, the research utilizes bibliometric methods in the form of publication trend analysis, keyword co-occurrence maps, co-author networks, and Bradford's Law to establish thematic patterns, intellectual paradigms, and lines of research. The findings indicate more research activity since the year 2010, indicating the growing significance of the platform for teacher recruitment and professional exposure. Dominant themes that emerge are digital hiring, academic identity, social media screening, and e-hiring. There are few specialized journals that shape the publication drive, and international collaboration is moderate. Notwithstanding the increasing number of studies, empirical and ethical appraisals on LinkedIn's algorithmic influence, data privacy, and diversity impact on faculty recruitment are limited. The present paper presents a systematic critique of the existing literature for gaps and potential directions in future research. It provides actionable suggestions to educational institutions, recruiters, and policymakers who want to utilize LinkedIn strategically with promises of transparency, equity, and diversity in faculty recruitment.

This study examines the interplay between job-related attitudes, COVID-19-focused Human Resource Management (HRM) initiatives, and their impact on job and organizational performance. In the context of the COVID-19 pandemic, organizations have implemented various HRM strategies to navigate challenges and sustain performance. Job-related attitudes, including job satisfaction, organizational commitment, and employee engagement, play crucial roles in shaping individual and organizational outcomes. COVID-19-focused HRM initiatives such as remote work policies, health and safety measures, and communication strategies have also become instrumental in maintaining productivity and employee well-being. Through a questionnaire-based study involving 121 participants, this research explores the relationships between job-related attitudes, COVID-19-focused HRM initiatives, and performance outcomes. The findings shed light on the significance of aligning HRM practices with employee attitudes to enhance job satisfaction, commitment, and engagement, thereby fostering organizational resilience and performance in the face of adversity.

The integration of Artificial Intelligence (AI) in education is rapidly transforming learning environments across the globe. While substantial research has examined educators' perspectives on AI adoption, there remains a limited understanding of how students—especially in developing countries like India—perceive and are prepared for AI-enabled learning. This study investigates Indian higher education students’ perceptions and behavioral intentions regarding the use of AI tools in academic settings, employing the Unified Theory of Acceptance and Use of Technology (UTAUT) as a theoretical framework. A mixed-methods approach was adopted, involving a structured questionnaire administered to 200 students across multiple universities in India, alongside qualitative insights from open-ended responses. Key UTAUT constructs—performance expectancy, effort expectancy, social influence, and facilitating conditions—were measured to analyse their impact on students' behavioural intention to use AI technologies such as ChatGPT, Google Gemini, and adaptive learning platforms. Preliminary findings suggest that performance expectancy and facilitating conditions significantly predict students’ willingness to engage with AI tools, while effort expectancy and social influence show moderate effects. The results underscore the need for targeted AI literacy initiatives, robust infrastructure, and institutional support to ensure equitable and effective AI integration. This study contributes to the growing discourse on AI in education by offering student-centered insights and policy recommendations relevant to the Indian higher education landscape.

Human capital plays a major substantial part by virtue of every organization. The personnel selection and training of employees is a vital task for every organization to achieve its goal. But still, a lot of employees are in the thought of quitting their job either for their personal reasons or through workplace outcomes. Workplace incivility is a behaviour exhibited that was formed by social norms by lining up to reach out aptly by others. These yardsticks upset everybody and are versed over the socialization trail. If a person shows negative behaviour it will reflect negatively on the other’s outcome as well. To understand the underlying concept, the researcher has studied the brunt appertaining to workplace incivility against counterproductive work behaviour. Scrutiy outstayed among the employees of the IT sector. Data were collected by using the Snowball sampling method by virtue of a framed questionnaire. A sample of 391 appellants was well-chosen for the present scrutiny. Facts compiled are probed in virtue of analytical tools, and the residuum of the scrutiy unfolds so as to depicts the substantial impact of workplace incivility on counterproductive work behaviour (CWB) among IT employees

Agriculture sector is the largest guzzler of total irrigation resources available in India. Hence, it is high time to adopt micro-irrigation methods such as drip and sprinkler irrigation in cropping system. This innovative method restricts the higher consumption of water by crops and increases the water use efficiency in agriculture. This article describes significance of micro irrigation, progress and development made in India. In addition to that it analyzed the physical and financial target achieved by India over the years under Pradhan Mantri Krishi Sinchayee Yojana Scheme (PMKSY). It also analyzed the different crops that are supported under PMKSY.

The varied research and articles have depicted over the period of last few years that, Bhartiya (Indian) theories and styles of Management are unique and different from the Western or Japanese styles. The researchers have also promoted the fact that like globally accepted styles of Management, even Bhartiya management is based on rich literature base. If implemented it appropriately, these theories and style will provide solution to contemporary issue. However, this management style is limited promoted, read and applied. The issue that one comes across is unavailability of material for reference in language which is understood by majority of managers and companies. The other issue is interpretation of the literature. The Bhartiya theory of learning and knowledge imparting was based on Smriti and Shruti that is passing of knowledge with enriched and enhanced versions after self-interpretation. However now the world understands and interprets the knowledge as it is presented. Thus, there is need and requirement of appropriate application of tools and technology for promotion and implementation of Bhartiya theory of management and styles. AI and machine learning Technologies, assist the human in various ways. The AI and ML technologies like NLP, can be useful for translation of Bhartiya Management literature and its interpretations.  Also, the application of these technologies can used to produce, Decision making modules, mentorship portal based on Bhartiya scriptures like Arthashahrstra, Bhagwad Geeta and other.  Hence the application of AI and Machine learning can help to promote and apply the Bhartiya management style

This study examines the factors that influence sustainability-oriented entrepreneurial intentions (SOEI) among university students, focusing on personal traits, cognitive perceptions, social influences, and resistance to change. The research is grounded in exploring how factors such as proactive personality, perceived desirability, perceived feasibility, and risk-taking propensity contribute to students' intentions to pursue sustainability-driven entrepreneurship. Additionally, the study identifies barriers like social norms, loss aversion, and transition costs that may prevent students from engaging in sustainability-oriented ventures. Furthermore, the research investigates the role of inertia—encompassing affective, cognitive, and behavioral resistance—as a mediating factor in the relationship between these enablers and barriers and SOEI. The findings indicate that proactive personality traits and strong environmental values play a significant role in shaping sustainability-oriented entrepreneurial intentions, while inertia and social norms serve as substantial barriers. These insights are essential for educators, policymakers, and stakeholders looking to promote sustainability-focused entrepreneurship among students.

This study explores the portrayal of gender roles and body shaming in stand-up comedy content on YouTube and Instagram, focusing on its influence on audience perceptions and self-esteem. It examines how humor navigates the thin line between satire and the reinforcement of societal stereotypes, especially concerning gender dynamics and body image in the digital age. Adopting a mixed-method approach, the research includes quantitative surveys to gauge audience impact and content analysis of popular stand-up acts to identify recurring themes and stereotypes. The findings reveal that while humor can challenge societal norms, it often perpetuates harmful stereotypes, significantly impacting self-perception and body image among audiences. The study highlights the growing need for ethical considerations in comedy, urging creators to balance creative freedom with their responsibility toward social impact.

This study explores the use of animation as a pedagogical tool in pre-primary and primary schools in Mumbai. It focuses on assessing the effectiveness of animation in enhancing student engagement and comprehension. The study employs a combination of experimental and survey-based research to evaluate the impact of animation on learning performance. The findings indicate that students exposed to animation-based learning performed better in understanding complex concepts compared to traditional teaching methods. Challenges such as limited resources and the need for trained educators were also highlighted, along with a positive reception from both parents and teachers.

The Micro, Small, and Medium Enterprises (MSME) sector is a crucial pillar of the Indian economy, contributing significantly to employment generation, innovation, and GDP growth. With the advent of digitization, MSMEs in India have witnessed a transformation in their operational efficiency, market reach, and financial inclusivity. This research paper focuses on transformation taken place in MSME sector due to digitization which is been examined by studying the relation between the investment and turnover. Secondary data collected through various sources is been analyzed to reach the conclusion.

The emergence of globalization has compelled people around the world to abandon outdated concepts and adopt new ones in every field, particularly marketing. These days, a company that wants to gain market share must consider not only the functionality of its products but also the brand that is associated with it because it creates specific perceptions in the minds of customers or end users, this leads to the adoption of experimental marketing, this is a novel marketing strategy that has transformed traditional marketing. this approach allows to engage customers with a brand by capturing their attention with interactive and creative components in order to form emotional connections and memorable experience. This research aims to examine the effects of implementing experiential marketing on improvising brand commitment and trust in cosmetic business in Chennai city. The study focuses on the factors influencing customers through experimental marketing. In this research, the population used was customers using cosmetic products in Chennai city. This research data was obtained using an online survey questionnaire via Google Form. This research is descriptive research using quantitative methods. The analytical tool used in this research work is SPSS software. The results of the analysis show that Experiential marketing has significant effect on brand trust and brand commitment and the existence of no significant relationship between brand trust and commitment. The results of this research can help the cosmetic industry in understanding consumer behaviour and the factors that contribute to customer trust and commitment for a brand.

This research paper analyses the self-governance practice of tribal communities of West Singhbhum in Jharkhand, specifically the implementation and the issues of Panchayats (Extension to Scheduled Areas) Act (PESA), 1996, and Forest Rights Act (FRA) 2006. Using both qualitative and quantitative analysis, this research investigates how these laws were applied to the empowerment of tribal communities, the strengthening of local governance and the protection of indigenous rights within one of the most impoverished and economically backwards districts of India. Through these laws and their impacts, this paper examines the progress and the barriers faced by tribal communities in forming self-governance systems relevant to political sovereignty, land rights, and environmental land management.

Artificial Intelligence (AI) is a branch of computer engineering that helps build systems perform tasks rapidly that would mimic human intelligence enabling data analysis, identifying patterns, make decisions and solve problems. AI usage has been on rise to make the complex tasks simpler. Whereas Diversity, Equity and Inclusiveness (DEI) is the area that studies the heterogenous components of population and tries to give equitable and representative solutions for participation of marginalized sections in different domains. It has been observed that the area of AI requires different stakeholders to work with collective intelligence right from the initiation of the development and not merely address DEI as an afterthought. The research paper intends to study the recent literature to emphasise the challenges in growth of DEI in AI and see how the knowledge of two concepts will help to make AI more efficient and Inclusive, eventually to make AI bias-free and gap-free. Lastly the research paper intends to narrow down the suggestions to mark most important pointers for future development in AI

In today's digital age, YouTube and other similar platforms have revolutionized education with accessible and affordable learning resources, especially for competitive exams like UPSC. The shift towards e-learning, fast-tracked by the pandemic, has enabled students, even in rural areas, to benefit from low-cost internet and high-quality video lectures. Preparing for UPSC, characterized by a vast syllabus and reliance on current affairs, has become more convenient with the diverse content on YouTube. This paper explores the contribution that YouTube makes to UPSC preparation by evaluating its effectiveness as a supplementary learning tool. The study adopted a quantitative survey method where the sampling strategy was purposive in nature, targeting UPSC aspirants of age 18-32, a Likert scale was used to measure their perceptions and experiences with YouTube as a preparatory tool. Through research, we come to know that YouTube offers several opportunities for UPSC preparation, including accessibility, interactive features & personalized learning. The majority of participants relied on video lectures and explanations as their primary means of preparation on YouTube along with traditional learning methods. To study the role of YouTube as a supplementary tool for UPSC preparation, including its effectiveness, challenges, opportunities, and the types of content and subjects most beneficial for aspirants.

Micro insurance offers essential financial protection for low-income households, particularly in developing regions where traditional insurance is often unaffordable. This study explores key factors influencing the adoption of micro insurance schemes among low-income families in Mumbai and Thane, India. A structured questionnaire was administered to 350 respondents, focusing on five variables: Financial Literacy, Household Income, Trust in Insurance Providers, Awareness of Micro Insurance, and Affordability of Premiums. Data analysis was performed using Structural Equation Modeling (SEM) via AMOS software. Confirmatory Factor Analysis (CFA), reliability, and validity testing confirmed that the measurement model was robust. The final model demonstrated acceptable fit indices. Results revealed that all five factors significantly and positively influenced adoption. Trust in Insurance Providers had the strongest impact (β = 0.75), followed by Financial Literacy (β = 0.65), Affordability of Premiums (β = 0.62), Household Income (β = 0.60), and Awareness (β = 0.58). The findings underscore the need for community-based trust-building initiatives, targeted financial literacy programs, and affordable premium structures for low-income households in Mumbai and Thane.

This study investigates the role that digital transformation plays as a major force behind contemporary entrepreneurship. The business landscape is changing as a result of the incorporation of cutting-edge technologies like cloud computing, data analytics, artificial intelligence (AI), and digital marketing tools. This study highlights the crucial ways that technology supports entrepreneurial growth by looking at how digital transformation can improve customer engagement, increase market reach, streamline operations, and spur overall innovation. The impact of digital transformation on new and existing ventures is analyzed in this paper using both primary and secondary research methods.

Traditional marketing methods have been changed as social media marketing (SMM) is progressively included into B2B digital strategies.  This paper investigates how the Adaptive Synergy Growth Model (ASGM) may be successfully included into social media to improve consumer involvement, lead creation, and brand positioning.  The study emphasises growing patterns in B2B social media interaction, the function of analytics driven by artificial intelligence, and the need of cross-platform integration.  Analysing industry best practices, empirical data, and case studies helps this paper provide an ideal framework for companies to maximise their digital marketing possibilities inside the ASGM structure.

This research focuses on the key impact of Big Data and analytics in shaping how companies manage customer experience in the digital marketplace. Since online consumer interactions have grown rapidly, businesses must now rely on data to learn about customers, customize their marketing campaigns and provide better service. In this study, customer data is analyzed by applying four algorithms from machine learning (Random Forest, SVM, KNN and Gradient Boosting) to predict churn and various purchase patterns. Gradient Boosting gave the best prediction accuracy with 91.3%, followed by Random Forest (89.7%), SVM (87.5%) and KNN (84.2%). Besides, using Big Data analytics resulted in keeping 12% more customers and selling more items per order. Evaluating against typical methods demonstrates that there is a clear improvement in identifying different customer segments and customizing their ads. According to the findings, using both Big Data and effective analytics gives a business a lead over others through fast, individualized engagement and decision making. As a result of this research, digital commerce businesses can better manage customer experience, build loyalty and keep growing steadily in a market led by data.

This essay examines job satisfaction trends among Indian Railway Loco Pilots, focusing on a comparative case study of two distinct divisions. Loco pilots, responsible for the safe and timely transportation of passengers and goods, operate under demanding conditions that can significantly impact their well-being and job satisfaction (2024). Factors such as long working hours, irregular schedules, and potential exposure to traumatic incidents contribute to heightened stress and psychological strain (2024). This analysis explores the multifaceted nature of job satisfaction, considering elements such as work environment, occupational stress, job motivation, and the balance between work and personal life (The Relationship between Work Environment, Occupational Stress ..., n.d.). By investigating these variables within two specific divisions, the study aims to identify common challenges and division-specific factors influencing loco pilots' job satisfaction (The Relationship between Work Environment, Occupational Stress ..., n.d.). The findings will provide insights for railway management to develop targeted interventions and policies aimed at improving the working conditions, mental health, and overall job satisfaction of loco pilots, ultimately enhancing the safety and efficiency of railway operations (The Relationship between Work Environment, Occupational Stress ..., n.d.). This research contributes to a deeper understanding of the critical role job satisfaction plays in the performance and well-being of loco pilots in the Indian Railways (2024).

This essay explores the multifaceted nature of job satisfaction among loco pilots within the Indian Railways, focusing specifically on the Guntakal and Vijayawada divisions. Job satisfaction, a critical factor influencing employee performance and retention, is examined through the lens of various organizational and occupational factors ([PDF] Motivational Factors Influencing Job Satisfaction among Loco-Pilots ..., 2023). Studies reveal that while a majority of employees express satisfaction with the company's performance ((PDF) Employee Job Satisfaction in Indian Railways - ResearchGate, 2023), the demanding working conditions and inherent stressors of the job can significantly impact overall well-being (2017). Factors such as extended working hours, frequent night shifts, and inadequate rest periods contribute to fatigue and burnout, further compounded by infrastructure deficits like the absence of washrooms in engine cabs (Anupama Ramakrishnan, 2023). A comparative analysis of occupational stress and hypertension among loco pilots and section controllers highlights the prevalence of stress factors such as increased job demands, significant responsibilities, workplace noise, and conflicts between work and family life (2017). Ultimately, this essay aims to provide a comprehensive understanding of the challenges and opportunities for enhancing job satisfaction among Indian Railway loco pilots, with implications for policy and practice.

Nowadays, AI has boomed in every sector, particularly in the education sector, where it plays a vital role in learning. This may have some impact on the higher education sector. This study investigates stakeholder perceptions of a university that is equipped with 10 higher-level pedagogues in the context of the vital opportunities and challenges that pedagogies have in adopting AI’s impact on higher education through a thematic analysis of audio-recorded interviews and discussions, converting those audios into text by using Audacity software. By examining the insights of pedagogues, the analysis uncovers key themes that highlight both the transformative potential and challenges of AI integration. The findings suggest that AI facilitates personalized learning and supports data-driven decision-making. However, concerns persist regarding ethical considerations, data privacy, and the shifting role of Pedagogies in AI-driven environments. Thematic evolves, developing from stakeholder facts, provides insightful insights into the greater general institutional and pedagogical repercussions of AI usage.  This research contributes to a nuanced understanding of AI’s role in higher education, giving suggestions for making effective strategic implementations.

The growth of women entrepreneurship in North Gujarat has been significantly influenced by the financial support provided by both traditional banks and Mahila Urban Co-operative Banks (MUCBs). This study has conducted a comparative analysis of the effectiveness of traditional banks and MCUBs in North Gujarat. This research has incorporated a mixed data collection method that includes both primary quantitative and secondary qualitative data. The findings of this research show that in the context of women’s entrepreneurship, MUCBs are more effective in offering women financial support. Moreover, active digital literacy schemes have also helped women to improve their businesses significantly. Despite these, there is a need for better customer feedback processing and FinTech incorporation in banks to elevate digital integration in the banking sector.

This research examines India's increasing popularity as a foreign tourist destination, highlighted by its rich cultural heritage, historical landmarks, and government initiatives. The main objective is to explore the factors influencing international tourists' decisions to visit India. This investigation analyses these motivations, offering a worldwide perspective on India's appeal. Using convenience sampling, quantitative analysis was conducted based on a survey of 330 participants from different countries, guided by a review of existing literature. The paper finds that “religion, yoga and spirituality” and “cultural and heritage perspectives” are among the most influential factors, indicating the importance of promoting India's wellness tourism, including yoga and spiritual practices, rich culture and heritage sites to enhance tourist satisfaction and encourage repeat visits, respectively. This is followed by local cuisine attractions and perceived value of India as a brand, which significantly influence tourists’ attention to India, emphasising the importance of strategic branding in tourism marketing. The leisure and shopping experiences were found to be less significant in the Indian context. The managers in the sector are advised to enhance tourist satisfaction and loyalty by promoting cultural authenticity, culinary diversity, and spiritual wellness, aligning with the preferences of modern tourists who prioritise meaningful and immersive experiences. By leveraging these strengths, India can strengthen its position as a leading global tourist destination.

The desirable Sustainable Development surfaced as long pending need of hour at global level. This drew attention and a universal consensus on agenda 2030, consisting of 17 Sustainable Development Goals (SDGs) for all member nations ‘leaving no one behind’. Sustainable Development Goal 4 (onwards SDG) emphasized on Universalization of Education at global level by facilitating basic literacy and numeracy accessible to all.  The state government of Uttarakhand spends more and voluminous resources on various central and state sponsored schemes for noticeable development in education sector. Yet, the existing pattern of development across varied sectors of the hill regions is divergent to the developmental pattern in similar sectors at the country level.  It has been time-tested that ‘education’ remains one of the stronger tools that augments and creates new avenues for human development. Interventions through education relevant to current time have proven to strengthen and speed up sustained and accelerated development in all socio-economic sectors.  On the basis of secondary data, this paper analyses the localization of the SDG 4 targets through Central and State government sponsored schemes of Education Sector in hill state of Uttarakhand. In this purview, the study examines the alignment of government schemes’ objectives with the globally defined targets of SDG 4. Further, it analyses the outcome of schemes in terms of ‘relevant quality education’ to intended beneficiaries. The findings of study will give an insight to policy makers, researchers and stakeholders to mobilize the funds towards optimum utilization by way of rationalization and prioritization of those education sector schemes which create more strategic quality-focused approach to education leading to technology enabled learning environment for all.

AI significantly impacts stock market expenditures and has helped investors manage risk more. Investors are seeking AI aids, and this research shows how investors use AI for risk management. The concern for market investors has been growing AI's help in the stock market's fraud detection mechanisms. The increasing utilization of AI in finances exemplifies how its growth results in lower risks during stock purchases, constructing portfolios, suggesting less volatile stocks to new clients, aiding decision making, and even spotting trends in financial markets that would not be identified with previous techniques. Because the AI concept is still new and targeting particular demographics, stock market investors may not have learned exposure for getting muted by AI for reduced risks. Apart from the mentioned aspects, this research is focused on computational aids that investors could go beyond the standard risk management computations that might not be easy to perform with population stock market investors. Competitive AI provides deep learning algorithms that investors in new frontal years. AI also saves the time of investors as they do not need much assistance while aiming to improve investment results in the new market. Investors need less assistance in planning and strategizing for risk factors in stocks.

India is the most populous country and at the same time it is also one of its fastest booming markets for Insurance Industry. India represents a huge market and that too an untapped market for Health Insurance to a great extent. It is observed that the country has seen both – the development on the economic front and also in the educational frontier.   However, even to the overall market and the overall penetration of the Health Insurance remains one of the lowest in the world. In an attempt to improve the reach of the health insurance benefit to a greater section of the residents of the country the government has taken multiple initiatives. Even after the major push to this the percentage of Indians having the coverage of the Medical or Health Insurance remains very low. The paper aims to analyse the various factors which motivate and demotivate the people in buying decisions of Health Insurance.  The Study is based on the primary data collected through a structure questionnaire in Hyderabad Region.  The results of the study show that high premium and difficult claim procedure are the major factors contributing in buying decisions of health insurance.  Further the statistical tools are applied to understand how the demographic profile of the respondents influences in their purchase decision of the decision of health insurance. The result shows Education, Occupation and Martial Status are the major factor influencing on Health Insurance Buying Decisions.

Purpose of the Study:  This study seeks to investigate how flexible work models, such as remote work, hybrid systems, and compressed workweeks, contribute to achieving organizational sustainability goals. It examines the interplay between work model adoption and the three dimensions of sustainability: economic, environmental, and social. Objectives of the Study:  1. To examine the extent of adoption of flexible work models in selected sectors. 2.To analyze the impact of flexible work on environmental sustainability indicators. 3.To evaluate the influence of flexible work on employee well-being and productivity. 4.To assess the alignment between flexible work practices and organizational sustainability goals. Research Methodology:  This study employs a descriptive research design to explore the adoption and impact of flexible work models. Quantitative data were gathered through structured questionnaires administered to 200 employees from the IT, finance, and service sectors in urban India. The design enabled the collection of standardized data, facilitating clear comparisons and generalizable insights into employee perceptions and sustainability outcomes. Key Findings:  The findings reveal a strong positive correlation between flexible work practices and reduced environmental impact, particularly in commuting-related emissions. Employee well-being, job satisfaction, and productivity also showed significant improvements under flexible arrangements. Organizations that adopted structured flexible work policies reported better alignment with sustainability targets and noted reduced overhead costs. Implications of the Study:  The study underscores the importance of incorporating flexible work models into long-term HR and sustainability strategies. It provides actionable insights for policymakers, HR managers, and business leaders aiming to drive sustainable transformation. It also recommends the redesign of performance metrics and workplace infrastructure to support flexible work. Originality/Value of the Study:  This research contributes to the limited empirical literature linking flexible work models with sustainability in the Indian context. It provides a holistic view by integrating employee perceptions, organizational strategies, and environmental metrics to highlight the role of HR innovations in sustainable development.

This study explores and examine how socio-emotional intelligence combined with spiritual intelligence altogether impact on the inclusion and participation of multi-ethnic students in India's school education system. Based on the resources as collected from the Modern Private and Gurukul schools in Delhi, primary quantitative structured questionnaire-based survey data is analysed by using descriptive statistics and exploratory factor analysis together with regression studies. Inductive approach is used to interpret the results. The study results reveal social intelligence as most significant learning that heightens collaboration while creating social peace and fulfills global multi-ethnic inclusive education objectives. The research limits in its scope to specify the school types and demographic characteristics nor the number of students with special needs. Future researches should bridge these current gaps while policy managers need to implement culturally relevant emotional learning methods within India's educational system.

In this research paper, the present investigation was undertaken to understand the relationship between the teaching effectiveness of secondary school teachers, life satisfaction, and their professional commitment. The sample for the investigation consists of 600 male and female secondary school teachers from private and government schools in Delhi. The life satisfaction scale was developed by Dr. Sapna Sharma and Savitri Sharma (2020), and the professional commitment scale, developed by Deepa Sikand Kauts and Varinder Kaur (2019), was used to examine the professional commitment level of secondary school teachers, which provides seven dimensions, viz. Extremely High, High, Above Average, Average, Below Average, Low, and extremely Low. Results were statistically inferred, and it was found in this research that a significant difference in respect of high and low levels of teaching effectiveness on the life satisfaction and professional commitment of secondary school teachers

Today's business environment needs to prioritize to the ability to set the product apart from the competition. Business man needs to think about how to win over customers and what perceptions and attributes they want in their goods or services. An implied commitment made at the time of the purchase to return to the store and repurchase the item is known as a purchase decision based on brand equity. It is crucial and significant since businesses seek to enhance sales to maximize their profit, and sales can be improved by winning customer satisfaction and loyalty. It's about living up to your business's values, accepting responsibility for your mistakes, and cultivating a client base that is loyal and trusting through your words, actions, and stories. Elements like as perceived value, brand equity, brand awareness, and brand loyalty are critical to the company's survival and can actively boost sales. Without taking into account a variety of literature and conceptual methods, as stated in explicit literature on the issue, it is difficult to describe and interpret the consumer's intention to buy. So, this paper trying to review the opinion of different author about the concept of Brand equity and corelate it with the requirement of present scenario.

Today’s cosmetic product market is characterized by heightened consumer awareness and discernment, particularly among millennials and Generation Z. With the proliferation of skincare products, consumers are increasingly influenced not only by product quality but also by factors such as brand image, pricing, and brand popularity. This study aims to investigate the influence of Brand Image (BI), Price, and Brand Popularity on the purchasing decisions of consumers in the Delhi NCR region, specifically targeting millennial and Gen Z demographics. Grounded in a positivist research philosophy, the study employed a quantitative approach to data collection and analysis. A sample of 180 respondents was selected through cluster random sampling, ensuring a diverse representation of the target population. The findings of the study revealed that Brand Image, despite its assumed importance, did not have a statistically significant impact on consumer purchasing decisions, as evidenced by a t-statistic value of 1.397 and a p-value of 0.164. In contrast, Brand Popularity showed a strong and significant positive influence on purchase behavior, with a t-statistic of 4.238 and a p-value of 0.000. Similarly, Product Price was found to significantly affect consumer decisions, indicated by a t-statistic of 2.245 and a p-value of 0.025. These results suggest that while brand recognition may not independently drive purchasing decisions, factors such as perceived popularity and affordability play a crucial role in shaping consumer preferences in the skincare segment. The study offers important implications for marketers seeking to engage younger consumers in an increasingly competitive and brand-saturated market.

In the current competitive market, businesses must transcend conventional marketing methods to attract customer attention and cultivate loyalty. Emotional intelligence (EI) has become a potent instrument that allows companies to engage with consumers on a more profound, personal level. By comprehending and utilizing emotions, marketers may develop persuasive ads that connect with their intended audience. This article examines the notion of emotional intelligence in marketing, its essential elements, advantages, and practical implementations for linking businesses with customers. Emotional intelligence (EI) is crucial in contemporary marketing techniques, allowing firms to forge stronger connections with customers. This study investigates the incorporation of emotional intelligence in marketing, analyzing its effects on consumer behavior, brand loyalty, and customer retention. The theoretical framework integrates essential concepts of emotional intelligence with marketing principles to propose a holistic model for brand-consumer engagement. Utilizing components like empathy, self-awareness, and social skills, marketers can develop emotionally impactful campaigns that cultivate trust and loyalty. This study examines the deficiencies in the implementation of emotional intelligence within marketing strategies, specifically regarding digital platforms and consumer psychology. The study aims to identify the principal dimensions of emotional intelligence pertinent to marketing, evaluate their impact on consumer decision-making, and formulate practical insights for marketers.

Generative artificial intelligence (AI) technology advances quickly that changes how colleges teach by developing innovative educational techniques and better student involvement and improved learning outcomes.  This research investigates fundamental elements which influence generative AI integration and acceptance in higher education lecturing while considering AI-generated content along with adaptive learning technology and natural language processing capabilities in addition to student-interactive platforms and faculty development along with customized instruction and security protections for data.  Data acquisition followed quantitative research methods through 150 participant surveys to determine AI-related improvement views. Researchers analyzed the data using descriptive statistics and Kendall’s Coefficient of Concordance.  Research shows that AI-generated content together with interactive educational environments represent the most important developments in education whereas adaptive learning needs stronger focus and acceptance.  The acceptance of incorporating AI varies considerably with age because younger participants show stronger attitudes toward AI applications.  The research demonstrates that universities must develop specific strategies to address training needs of faculty along with security concerns and ensure equal AI distribution throughout academic institutions.  The research delivers practical strategies for educational authorities who lead educational institutions and teaching staff to apply generative AI capabilities in reshaping university lecture delivery models.  The sole personal factor that influences opinion strength shows young respondents to find AI learning assistance more acceptable throughout higher educational lectures.  Statistical evidence reveals gender and financial position differences do not influence the study results.  Institutional AI integration efforts can benefit specifically from these findings to create better plans that effectively connect to younger students without excluding any demographic.

The growing popularity of social media usage among students has elicited worries over its possible effects on academic achievement.  Although prior studies have investigated the direct effects of social media, there is a paucity of research addressing its association with family connection, collective learning, and mental well-being as moderating variables.  The research examines the impact of social media usage on students academic achievement, highlighting the significance of familial relationships and collaborative learning experiences.  It also investigates the moderating influence of students' mental well-being in this context.  The study highlights the necessity of moderated social media use, bolstered by constructive familial connections and collaborative educational settings, to improve student outcomes.  The study's emphasis on familial connections, collaborative learning, and psychological well-being provides a thorough insight into the impact of social media usage on academic achievement.  The article aims to address significant research deficiencies, potentially guiding policy formulation, enhancing educational methodologies, and preparing students to utilize social media judiciously for academic achievement. The study's findings are anticipated to offer significant insights for educators, parents, and legislators by emphasizing the dual nature of social media's impact—as both a potential educational resource and a source of distraction.  

Consumer behaviour is a fluid and developing area of research, shaped by psychological, social, and economic influences.  Comprehending consumer purchase decisions, shopping habits, and the perceptual mappings linked to brand loyalty is essential for firms aiming to improve client retention and market placement.  This study analyses the principal aspects influencing customer purchase choices, encompassing brand impression, price sensitivity, quality expectations, and emotional ties.  The study used a perceptual mapping methodology to examine customer perceptions of various brands and the influence of these views on brand loyalty.  The research utilises a systematic survey and statistical analysis to elucidate the correlation between customer preferences and brand loyalty.  The results indicated that customers are progressively swayed by tailored experiences, digital engagements, and peer evaluations.  Moreover, brand loyalty is influenced by the constancy of product quality, efficient communication tactics, and emotional connection.  The findings provide significant insights for marketers, indicating the necessity for flexible branding strategies that correspond with evolving customer expectations.  The research aims to elucidate the determinants of consumer behaviour, the efficacy of perceptual mapping in brand positioning, and the dynamic characteristics of brand loyalty.  By tackling these obstacles, the study will provide significant information for organisations seeking to cultivate closer relationships with their consumers and improve their market presence.  The findings indicated that brand perception varies significantly among different age groups, particularly in aspects such as advertising, trust, personalisation, price sensitivity, and sustainability.  Marketers and brand strategists must customise their strategies according to the target demography, ensuring that branding initiatives correspond with the unique tastes of various age groups.

Industry 4.0 technology is undergoing a dramatic shift as a result of its fast development, but developing countries are finding it very difficult to implement. Technical preparedness, skill shortages in the workforce, and legislative restrictions in emerging regions are some of the main obstacles examined in this article.    In order to achieve resource efficiency and environmental resilience, the study delves further into how these limits impact the shift to a circular economy, highlighting the importance of sustainable practices. The existing study mostly emphasizes technology advancements in developed markets, overlooking the contextual challenges faced by firms in emerging economies. After reviewing issues like consumer awareness, digital infrastructure preparedness, financial shortages, and environmental hazards, the article suggests strategic ways to handle problems. A sample size of 100 respondents is selected using convenient sampling. The required primary data has been collected from the respondents using Google forms.  Technological progress, social and economic factors, legal support, and environmental concerns are some of the factors that influence the adoption landscape, according to the research. The findings stress the importance of incentives, workforce development programs, and targeted government interventions in developing nations to hasten the adoption of Industry 4.0 and circular economy principles.

Early adolescent involvement with social media platforms continues to grow which created concerns about academic effects on this population. Past research has studied social media impacts on education but the relationship between parent conversation with adolescents and gender influence in this area requires further evaluation. A research study analyzes social media relationship to early adolescent academic outcomes while examining its differences according to parent-adolescent communication models and gender variables. Social media overuse creates negative impacts on student grades until the communication quality between parents and teenagers acts as an intervening factor in this connection. The connection between open parental support in communication with children helps adolescents maintain better social media regulations which minimizes academic performance deterioration. Gender differences exist between social media usage because female adolescents use educational content more extensively than male adolescents who focus on entertainment content which yields contrasting academic effects. The research finds that parents and adolescents need to develop communicative strategies which maintain healthy social media use while fulfilling their academic tasks. These study results will assist stakeholders in developing structured models of adolescent social media usage to produce positive educational outcomes when using digital platforms. The study shows self-perception together with usage patterns significantly shape social media experiences of respondents but trust & openness and peer influence demonstrate the highest level of change. The average rating regarding rules and restrictions shows that some students live under strict supervision but other students face less regulation. The wide range of social influences and peer expectations demonstrates that people experience social media through distinct individual and social environments.

Strategic human resource management (SHRM) is an important fixture that helps linking human resource practices with organizational goals while developing worker well-being especially work-life balance (WLB). Considering that in the environment of higher educational institutions the employees are burdened by increasing workload, role conflicts, and demands to the job, the SHRM practices become the instrumental part of the employees’ ability to manage their personal and professional life. This paper examines the effect of SHRM on WLB for academic and non-academic in higher education learning institutions. Other key SHRM that includes: flexible work structure, supportive organizational culture, workload management, career development, and employee support programs are found as essential in the achievement of WLB. The study also reflects upon the challenges institutions are challenged to experience when enacting SHRM into practice, such as bureaucratic structures, disparate roles of personnel, and the limitations of financial and other resources. The findings imply that if SHRM is aligned with institution goals and employee needs strategically The outcome will be increased job satisfaction, lower turnover, higher productivity and better institutional reputation. However, SHRM effectiveness as far as the WLB is concerned is predicated by leadership commitment, resource allocation, and employee engagement. This piece of research helps to understand why and how SHRM practices can be used to achieve better work-life balance for employees in the dynamic and … often stressful … environment of higher education. Strategic Human Resource Management is a potent instrument in the promotion of work-life in higher educational institutions. Through the alignment of HR practices with the needs of the workforce of the institution and its strategic objectives, SHRM helps create a more sustainable, engaged, productive work environment. Institutions must do so by using inclusive, flexible, and well communicating HR strategies to express their influence to the greatest extent possible in order to resolve actual challenges that employees face in the meantime they pursue balancing of work and the life responsibility.

Modern organizations recognize Emotional Intelligence (EI) as an essential performance factor which affects individual outcomes as well as group interaction and general workplace atmosphere. The research examines how leader and follower emotional intelligence affects work performance and employee attitudes by studying important influence variables. A research sample comprising 250 participants from various sectors allows investigators to explore how organizational culture combines with leadership style and workplace stressors and training and team dynamics to affect emotional intelligence which leads to work outcome variations. Research shows that positive performance and constructive work attitudes come from strong emotional intelligence levels in leaders and followers. Leaders with high EI demonstrate empathy combined with effective communication and artificial intelligence while followers with high EI show better adaptability and higher job satisfaction and stronger collaboration. Both organizational culture and stress management capability proved to be the main factors that directly influence emotional intelligence. Research findings revealed no statistical correlations between emotional intelligence effects on performance and age or gender demographics’s thus showing emotional intelligence operates similarly regardless of sample backgrounds. The research results demonstrate why organizations should allocate resources to emotional intelligence training from the entire employee hierarchy. Organizations that develop emotional intelligence within their workplace settings will improve both employee engagement and productivity together with employee morale.

The growth of digital platforms traditional startup conditions transformed into new business possibilities for networking and growth development. Social media networks especially face book serve as common tools for young business owners across the globe yet their influence toward facilitating entrepreneurship among senior citizens remains unstudied. The research investigates the scientific effects that Face book creates to advance business expansion while sharing knowledge and encouraging customer involvement and networking among senior business owners. As part of the study researchers study Face book's operational effects and digital technology challenges and social media methodology outcomes by surveying and interviewing senior entrepreneurs across multiple business sectors. The study assesses how Face book helps older business owners develop better market access alongside enhanced brand exposure and business sustainability. Face book enables older business owners to enhance their consumer bonding and advertise their products while developing valuable business networks according to research findings. The implementation of Face book becomes challenging because of insufficient technological skills and algorithm complexity among users in digital marketing environments. Specific training programs combined with improved platform designs and government-backed initiatives have the potential to develop Face book capabilities among senior business owners to use the platform extensively. The study extends existing knowledge about entrepreneurial practices as well as social media marketing strategies and digital accessibility through detail on how Facebook enables senior business opportunities. The research findings will help policymakers as well as platform developers and organizational support groups to enhance digital media accessibility for senior entrepreneurs running businesses.

Live streaming on social media has emerged as a powerful tool for brands and content creators to engage with their audiences in real time. This study explores consumer engagement in live streaming on Face book and Instagram, examining the factors that influence user participation, interaction, and overall satisfaction. With the increasing adoption of live streaming, it is crucial to understand how consumers respond to different platforms and what drives their engagement. This research employs a comparative approach, analyzing user behavior, content preferences, and interactive features on both platforms. The study utilizes a mixed-methods approach, combining survey responses from active live stream viewers and content analysis of live sessions. The findings highlight key engagement drivers, including perceived interactivity, content authenticity, platform usability, and community involvement. The study also examines the role of influencer marketing and brand engagement in fostering consumer loyalty. By identifying similarities and differences in consumer behavior on Face book and Instagram live streaming, this research provides actionable insights for marketers, content creators, and social media strategists. The study concludes with recommendations on optimizing live streaming strategies for enhanced audience participation and long-term engagement.

Retaining talented staff members is now a key issue facing organizations around the world due to the fast-changing business environment. The issue of employee turnover does not only bring higher recruitment and training expenses, but also disturbs productivity and reduces organizational motivation. Organizations are increasingly choosing to deploy workplace wellbeing programs as a main approach. The initiatives' aims are to help employees coordinate their home and work obligations, and this often results in greater job satisfaction and loyalty. Our study evaluates the efficiency of workplace wellbeing efforts in reducing staff turnover, looking specifically at program structure, reach, engagement, and mental health promotion. PCA analysis of empirical data demonstrates four main groups of contributing factors. Program Design and Flexibility, Employee Awareness and Accessibility, Job Satisfaction and Engagement, and Mental Health and Well-being Support are the main areas identified. These components account for over 76% of the total variance, indicating a strong relationship between comprehensive WLB strategies and employee retention.The findings underscore the importance of developing customized, transparent, and supportive WLB policies that align with organizational culture. Effective WLB programs not only improve employee well-being but also serve as a competitive advantage in talent acquisition and retention. This paper contributes to the growing literature on human resource practices and offers practical insights for organizations seeking sustainable solutions to workforce turnover.

This study critically examines the framework of anti-corruption law in India, with a special focus on the functioning of the Anti-Corruption Bureau (ACB), Faridabad. It explores the historical evolution of anti-corruption statutes including the Prevention of Corruption Act, 1988; the Lokpal and Lokayuktas Act, 2013; and related institutional mechanisms such as the Central Vigilance Commission and the Whistle Blowers Protection Act. By analyzing real-world case studies from Faridabad, the research assesses the effectiveness of the ACB in handling corruption-related cases. Through a literature-informed lens, it addresses the limitations of existing strategies such as delays in prosecution, political interference, and resource constraints. The paper also incorporates theoretical insights on systemic corruption, digital tools, educational outreach, and public engagement. Findings suggest that legal frameworks, while robust on paper, require stronger institutional independence and public participation to be effective. The study recommends structural reforms and multi-institutional collaboration to improve anti-corruption enforcement at the grassroots level.

This study investigates the impact of organizational culture on employee engagement within the Gulf Cooperation Council (GCC) countries, including the United Arab Emirates, Saudi Arabia, Qatar, Oman, Bahrain, and Kuwait. Employing a mixed-methods approach, the research combines quantitative surveys and qualitative interviews with employees and HR professionals across diverse industries to analyze key cultural dimensions such as leadership styles, communication transparency, recognition systems, and shared organizational values. The findings reveal a strong positive correlation (r = 0.712, p < 0.001) between organizational culture and employee engagement, with leadership style emerging as the most influential factor (β = 0.41). Culturally adaptive leadership, inclusive communication, and alignment of personal and organizational values are identified as critical drivers of engagement. However, engagement levels vary significantly among demographic groups, with Western expatriates reporting the highest engagement (60%), followed by GCC nationals (52%) and South Asian expatriates (44%), highlighting the need for culturally sensitive HR strategies. The study underscores the importance of tailoring engagement initiatives to the GCC's multicultural workforce, offering practical recommendations for organizations to enhance productivity, retention, and job satisfaction. By bridging gaps in existing literature, this research contributes valuable insights for HR practitioners and organizational leaders aiming to foster inclusive, high-performance workplaces in the Gulf region.

Impostor Phenomenon (IP) refers to a consistent psychological pattern where individuals doubt their accomplishments and persistently fear being exposed as frauds. Intense IP is often associated with anxiety, depression, burnout, and diminished self-esteem. This study explored the prevalence, factor structure and demographic determinants of the IP among college students in Eastern India, using the Clance Impostor Phenomenon Scale (CIPS) as the primary instrument. Conducted in the post-pandemic context, data were collected from those respondents who had undergone a major shift in the teaching-learning environment and assessment process during pandemic. The study indicated more than 90% students experienced moderate to intense impostor feelings and that was shaped by complex interplay of socio-demographic characters like age, education, genders and employment status. A sample of 386 students was analysed through exploratory and confirmatory factor analyses, revealing that a three-factor model comprising of fear of being fake, discounting praise, and the feeling of being lucky provided the best fit. The study indicated the need and importance of structured and sensitive interventions in higher education for mitigating the risk of IP related psychological consequences like stress and depression and improve overall mental wellness.

This study investigates the predictors of gender-based challenges experienced by women leaders in the Indian banking sector, focusing on two key organizational factors: structural empowerment and autonomy and performance recognition and growth. Despite increasing attention to gender inclusivity in leadership, women in banking continue to face systemic barriers such as bias, under-recognition, and restricted decision-making authority. Grounded in Kanter’s Theory of Structural Empowerment and Gender Role Congruency Theory, this study bridges a critical empirical gap by statistically examining how these organizational constructs impact leadership challenges. A quantitative, explanatory research design was adopted, with data collected from 120 women leaders using a structured Likert-scale questionnaire. Reliability of the instrument was confirmed (Cronbach’s Alpha = 0.745), and multiple linear regression analysis was employed using SPSS. The findings reveal that both independent variables significantly predict gender-based challenges, with performance recognition emerging as the stronger predictor (β = 0.723) compared to structural empowerment (β = 0.478). The model explained 81.7% of the variance in the dependent variable, confirming its robustness. The study offers valuable practical implications for HR professionals and policymakers, including recommendations for inclusive recognition systems, empowerment-focused leadership development, and organizational policy reforms. The results also contribute to academic literature by providing statistically grounded insights into the internal dynamics influencing gender equity in leadership within India’s financial sector.

The management education sector in India is experiencing significant growth, driven by economic expansion, technological advancements, and an increasing demand for skilled professionals. However, within this dynamic landscape, the state of Jharkhand presents a unique scenario. While national trends indicate a robust market for MBA and executive education, Jharkhand’s higher education sector is characterized by concerns regarding quality and accessibility. This report aims to identify untapped opportunities within Jharkhand’s management education industry for a new institution. The analysis reveals a competitive landscape with established players but also highlights potential weaknesses in addressing emerging industry needs and reaching underserved populations. Through a detailed examination of the demographic profile and the pain points of potential students in Jharkhand, three specific market gaps have been identified: specialized MBA programs in high-growth sectors, industry-integrated executive education for upskilling, and entrepreneurship and agri-business management programs with a rural focus. These opportunities hold significant potential given the national demand and Jharkhand’s specific economic context. The recommended entry strategy emphasizes a phased approach, focusing on quality, strategic partnerships, and targeted marketing. Potential challenges such as competition and infrastructure limitations are also addressed with proposed mitigation strategies.

This paper sheds a light on the integration of the A.I. within the actual marketing strategy highlighting the pros and cons and the related topics. With the rapid evolution of A.I. in the marketing landscape, companies are harnessing chatbots, predictive analytics, and personalised content systems to enhance consumer communication and to shorten the decision journey, as the use of the new technology is growing in marketing. Data collection was made on a convenient base from 150 marketing professionals through descriptive study design and questionnaire method. The findings indicate that concerns around data privacy and ethical use remain widespread, but there is a significant portion of respondents that also feel AI can increase productivity and customer satisfaction. The research findings suggest that while AI presents marketers with revolutionary possibilities, ethical safeguards and strategic management over its deployment are necessary. The research sets the stage for further industry-focused research and offers practical advice to organisations.

This study explores stress management among faculty members in self-financing colleges in Coimbatore city. With increasing demands on higher education professionals, faculty members in self-financing institutions often face unique stressors, including job insecurity, workload pressures, and limited resources. This research aims to identify the key stress factors affecting these educators and analyze the effectiveness of various coping mechanisms they employ. Data were collected through a structured questionnaire, and statistical tools were used to assess the correlation between stress levels and demographic variables such as age, gender, experience, and role. Findings reveal significant stress factors impacting faculty well-being and provide insights into strategies that institutions can adopt to improve faculty resilience and job satisfaction. Recommendations are made for colleges to establish supportive frameworks that address the specific stressors faced by self-financing college faculty.

This research examines the profound impact of color psychology on consumer perception and behaviour in marketing contexts. Through analysis of both quantitative survey data (n=285) and qualitative focus group insights, this study identifies significant relationships between color choices and consumer responses across different product categories and demographic segments. Findings reveal that color influences brand recognition by up to 80%, affects purchase intent differently across gender and cultural lines, and significantly impacts emotional associations with brands. The research demonstrates that while certain color associations remain consistent (blue with trust, red with excitement), contextual factors including product category, target demographics, and cultural background significantly moderate these effects. Results suggest marketers should implement strategic color frameworks that consider both universal color psychology principles and contextual variables for optimal consumer engagement. This integrated approach to visual marketing elements provides a scientific foundation for more effective marketing strategies.

Mondelez International is a global powerhouse in the snacking industry with a market share of 55% its establishing unbeatable monopoly. Catering 150 countries it owns iconic brands such as Cadbury, Oreo, Toblerone, and Milka. The company’s growth strategy emphasizes on innovation, sustainability, and digital transformation to meet evolving consumer demands. However, as Mondelez expanded globally and embraced digital technologies it faced several operational and strategic challenges which required intervention through strategic collaborations with technology leaders such as HCL Technologies, Accenture, and Microsoft.

The findings in this article examine social media dependence and social influence on trust and Individuals' buying intentions in the online shopping setting. The mechanisms through which the social media platforms impact the consumer’s buying behavior are essential for formulating the buying decisions by the society and the research work. Data were collected by means of a quantitative, survey-based method from 400 respondents who were active social media users that had previously conducted online buying. Social media dependence, social influence, consumer trust and their relationship with purchase intention were assessed using the Structural Equation Modeling. Implied results show that social media dependence positively influences consumer trust and in turn both consumer trust and social media dependence increase social influence. Results show that all three of the operationalizations of social influence, which is peer recommendations, influencer endorsements, and online reviews have significant beneficial effects on loyalty and intent to buy. In addition, Client faith is discovered to play a crucial role as the 'mediator', which moderates how the effects of social media dependence and societal sway convert to actual purchasing intentions. Subgroup parameters show that use among younger users and those who shop online frequently are most affected by such effects; this suggests the need for tailored marketing strategies. The results provide strategic recommendations that may be used by brands and business as well as advance academic understanding of the key pathways that unite segment, trust, and sales in digital consumer behavior. It ends by stressing the significance of integrated, trust oriented approaches In online advertising for the sake of turning digital engagement into real purchasing action.

It studies the relationship between working performance and mental health among the working employees in educational institutions in Indore. Mental well-being of faculty members, administrative staff and support personnel is investigated in terms of the influence it brings on job performance, work engagement, and productivity of the academic industry. A stratified random sampling method was used to select a sample of 150 employees for which data was collected through structured surveys, administering standardized scales on mental health, work engagement, innovative behavior, as well as job performance. The results show a moderate positive relationship between mental health and job performance, implying that individuals having better mental health are likely to be more involved in their job and perform their job more efficiently. Yet, it is not as strong as expected and other factors must also be involved (e.g. institutional support and workload management) to influence work outcome. Problems for academic employees are examined (stress, anxiety, burnout or what affects the academic productivity and work quality). The findings call for academic institutions to implement mental health support programs and promote healthier work environment so as to ensure the wellbeing and performance of employees. On the basis of the study, recommendations are made about how institutional interventions and policies should be enhanced in order to create a more productive and mentally healthy workforce

This study investigates the impact of microfinance on women’s empowerment in rural Madhya Pradesh, focusing on the Self-Help Group (SHG)-Bank Linkage Programme. Drawing on both national and global literature, the research identifies five key indicators of empowerment: Financial Stability, Household Financial Decision-Making, Legal Awareness and Rights, Physical Mobility, and Family Governance and Decision-Making. Using a stratified multi-stage sampling method, primary data were collected from 243 SHG members across two districts. Quantitative analysis using Exploratory Factor Analysis (EFA) and Paired Samples t-Tests confirmed statistically significant improvements in all five empowerment dimensions post-intervention. The findings underscore microfinance as a potent enabler of socio-economic progress, enhancing women’s agency, financial resilience, and social participation. However, the study also highlights persistent barriers—such as cultural norms and limited legal awareness—that hinder full empowerment. It concludes that while microfinance is a powerful tool for change, its effectiveness is maximized when integrated with legal literacy, skill development, and gender-sensitive interventions.

This comprehensive research paper extensively explores and examines the intricate and multifaceted relationship that exists between Behavioural finance and investment decisions. The study specifically focuses on the dynamic and evolving financial landscape of Indore, a prominent tier-2 city located in India. It aims to bridge the considerable gap between the theoretical assumptions that underpin standard finance and the complex, practical dynamics that characterize real-world financial markets. The research is grounded in an empirical survey conducted among 90 businessmen who are actively and consistently involved in making stock market investments. To derive meaningful insights, the collected data was meticulously analyzed using advanced statistical tools, including but not limited to Karl Pearson’s Coefficient of Correlation, Principal Component Analysis (PCA), Analysis of Variance (ANOVA), and Regression Analysis. These tools facilitated the extraction of both descriptive and inferential insights from the data. In this study, investment decisions were treated and analyzed as the dependent variable, while Behavioural finance factors were carefully considered as the independent variables. The analytical process uncovered significant and noteworthy correlations between these variables. Some of the key Behavioural finance factors influencing investment decisions, as identified through the analysis, include optimistic and cautious investment strategies, the influence of peer investors’ decisions, and the perceived advantages of skill and expertise demonstrated by the surveyed businessmen. This research makes a valuable contribution to the existing body of literature by providing fresh and unique insights into how Behavioural finance impacts investment decision-making processes within the context of a tier-2 city. Furthermore, it acknowledges and highlights the presence of additional factors that may influence the decision-making processes of investors.

The electric scooter market has witnessed significant growth, driven by an increasing demand for eco-friendly transportation solutions and innovations in personal mobility. Understanding the factors that influence customer satisfaction in this market is crucial for companies aiming to maintain a competitive edge. This study examines the influence of three key factors—price, advertisement, and product durability—on consumer satisfaction with electric scooters. By conducting surveys and interviews with a diverse sample of electric scooter users, we assess how each factor impacts customers' overall satisfaction levels and their likelihood of repeat purchase. The research also explores the interrelationships between these factors, identifying whether certain combinations of price, advertisement, and durability enhance or detract from the customer experience. Results suggest that while price and durability are significant predictors of satisfaction, advertisements also play an essential role in shaping consumer perceptions and driving purchasing decisions. The study concludes with actionable insights for electric scooter manufacturers and marketers to improve their offerings and marketing strategies, ultimately fostering higher levels of customer satisfaction and loyalty.

With increasing war for talent, many companies are striving hard to retain their diverse workforce with innovative HR practices under which Work-Life Balance Practices (WLBPs) gain high priority. In this context, retaining women employees remain first on the agenda, as there seems to be a real dearth of women in senior positions in all sectors. In the most coveted knowledge-based industries like the IT and ITES which lead the foray of Work-life balance practices, the scenario remains the same. The study focuses on determining the effectiveness of WLBPs in career advancement of Women in IT and ITES companies in Chennai, Tamil Nadu. With this primary objective, the researcher has framed a three-step model of acceleration of women to higher levels of management in organisations. This has been defined as the 3A's of WLBPs, that is, Availability of WLBPs, Application of WLBPs and Acceleration for Empowerment. A questionnaire was prepared with this focus and data was collected from women employees of top IT and ITES companies using convenience sampling and snow-ball sampling. After a pilot study, a total of 504 usable responses were received and researcher used AMOS to test the conceptual model framed.              Using Confirmatory Factor Analysis and Structural Equation Modelling it is shown that Availability of WLBPs leads to Application of WLBPs which in turn leads to Acceleration for Empowerment.

Prison system has been a vital part Indian criminal justice system since time immemorial but what has changed over a period of time is its role in the criminal justice system it has evolved from being center of punishment to center of reformation. In background of such facts the paper will look to study how the Indian prison system is changing its dynamics to meet the changing needs. The paper will try to understand some broad and fundamental problems of prison system with special reference to educational and vocational training in prisons as the basic purpose sending a person behind the bars is to reform the person as per the modern criminological approach what is needed is a reformed individual post release who can gel up with the society and reintegrate with the mainstream without any stigma. The paper would give some useful and practical suggestions with regard to prison education and vocational training at both policy making level and implementation wise so that prison education and vocational training is carried out in a more effective manner as it is the backbone of the structure for reforming the offenders and if carried out effectively and passionately it could do wonders to reform our criminal justice system.

Microfinance is the most widely used method for achieving financial inclusion and giving unbanked people steady and dependable financial support. Thus, microfinance institutions seek to strike a balance between their financial objectives and their social impact. Microfinance institutions need to operate more efficiently to meet these objectives. Using the Data Envelopment Analysis Model, we estimated two different types of efficiencies (financial and social) for 74 Microfinance Institutions in South Asia from 2010 to 2018. The empirical findings support the notion that, throughout the study period, South Asian microfinance institutions were more financially than socially efficient. In addition, Indian microfinance institutions are outperforming their peer nation counterparts regarding social outreach and financial sustainability. The lowest-performing microfinance institutions were discovered to be those in Pakistan.

Using the conceptual framework of glocalization, the purpose of this research is to analyse the ways in which customers in the cultural and culinary environment of Uttar Pradesh, India, engage with international fast-food companies. A number of different theories, including Materialism Theory, Theory of Cultural Capital, Signalling Theory, and Consumer Culture Theory, are used in this research project to investigate the ways in which local cultural preferences and global brand characteristics influence the intention of consumers to make a purchase. The use of purposive sampling allowed for the collection of one hundred valid responses from consumers of a number of multinational fast-food chains located in key cities in the state of Uttar Pradesh as well.  The questionnaire was organised and closed-ended, with a seven-point Likert scale. The findings indicate that some aspects of a brand, such as its perceived globalness, authenticity, cultural capital, local symbol value, and materialism, have a positive influence on the consumer's desire to make a purchase. Also, when it came to the relationships between authenticity and purchase intention, consumer cosmopolitanism was shown to moderate all but one of the following: perceived brand globalness, global brand cultural capital, materialism, and global brand local symbol value. It has been shown that the global brand credibility and the global brand attitude operate as mediators between the influences of the independent variables on the consumer's intention to make a buy purchase. This study offers valuable information to multinational corporations and global brand managers in Uttar Pradesh and across India who are attempting to localise their glocalization plans in order to better accommodate the diverse food sector in that region.

As large-scale infrastructure projects grow in complexity, traditional project management methodologies often struggle to keep pace with the dynamic demands of stakeholders, technological advancements, and regulatory shifts. Agile project management, originally developed for software development, has increasingly been explored for its potential adaptability, iterative approach, and stakeholder engagement benefits. However, its suitability for large-scale infrastructure projects remains contentious due to rigid regulatory frameworks, fixed budgets, and interdependent physical components. Consequently, hybrid project management methodologies—blending Agile with traditional approaches like Waterfall—have emerged as a promising middle ground. This paper critically examines the applicability, benefits, and limitations of Agile and Hybrid methodologies in managing large-scale infrastructure projects. Through a comparative analysis supported by recent case studies and empirical findings, the paper explores the practical integration of Agile principles into large-scale construction environments, offering insights into project performance, risk mitigation, stakeholder satisfaction, and delivery timelines. The study contributes to the growing discourse on methodological evolution in infrastructure project management, highlighting strategic frameworks for successful implementation.

Artificial Intelligence (AI) is increasingly being integrated into talent acquisition processes, offering innovative solutions to longstanding challenges related to diversity and bias in recruitment. This study explores the transformative potential of AI-driven tools to create more equitable hiring outcomes by minimizing human biases, enhancing candidate screening objectivity, and expanding outreach to underrepresented groups. Through a critical analysis of recent AI applications, the research examines both the benefits and limitations of algorithmic recruitment practices, highlighting the importance of ethical AI development, transparency, and continuous monitoring. The findings indicate that while AI offers promising avenues for advancing inclusivity, it must be strategically implemented within a framework that prioritizes fairness, data integrity, and compliance with legal standards. This paper contributes to the growing body of knowledge on responsible AI use in human resource management and provides actionable insights for organizations aiming to foster a more diverse workforce.

This study examines how social media marketing affects consumer engagement differently for men and women, offering a thorough examination of how they react to marketing content on different platforms. The study assesses platform preferences, influencers' roles, and emotional and transactional engagement patterns using a mixed-method research approach. The results show that gender has a big effect on how people engage. For example, men like factual, useful content more than emotional, visually driven ads, while women respond more strongly to the latter. Whereas males favor professional and tech-focused networks like LinkedIn and YouTube, women predominate on platforms like Instagram and Pinterest, where they actively participate in lifestyle and community-driven efforts. While men react better to transactional advertising that emphasizes practicalities, women are more engaged by emotional appeals. These findings highlight the significance of gender-sensitive marketing tactics and provide practical suggestions for platform optimization, influencer partnerships, and content tailoring. By tailoring advertising to gender-specific tastes and behaviors, marketers can improve consumer relationships and achieve company goals, according to the report.