The growing global focus on environmental sustainability has heightened interest in understanding the key drivers of green consumer behavior. Despite a substantial and expanding body of research on sustainable consumption, there remains limited clarity regarding which psychological, social, and economic factors most strongly influence green purchasing decisions. This paper presents a meta-analytic review of 72 peer-reviewed empirical studies published between 2005 and 2024, systematically evaluating the relative strength of these influencing factors. Rather than concentrating on a specific region, the study draws from a diverse global dataset to enhance generalizability across different cultural and market contexts. The findings reveal that environmental concern, perceived consumer effectiveness, and positive attitudes toward green products are consistently strong predictors of sustainable consumer behavior. In contrast, price sensitivity and skepticism toward green labels emerge as notable barriers. This study advances theoretical understanding and provides actionable insights for marketers and policymakers aiming to encourage sustainable consumption. The results also inform future research directions and policy interventions designed to foster more responsible consumer behavior on a global scale
In developing digital marketing strategies in the field of marketing, this paper discusses the discovery of the Artificial Intelligence (AI) and the internet. As the level of information and engagement with consumers on the internet starts to monumentally increase, ingenious devices are being relied upon to help the businesses work at a lower novelty, establish further savings offers, and improved customer relationship management. The study integrates in-depth research search and review of more recent research articles, therefore, being in a position to describe the main themes, trends, and implications of AI-based marketing practice. Considering the way AI has been applied, one can observe that at least, the following aspects are primarily the areas where the coin of personalization of customers and other factors like the commercialization of social media and maximization of ROI were also considered by the companies that reportedly measured the change in the customer relations, purchase consideration and ROI. It has been proven that individualization along the lines of AI may lead personalized buying interest or advertising outcomes by approximately a third of the formerly massive discount versus the previous estimation. Meanwhile, there are privacy, transparency, ethical application dilemmas in businesses that are high in priority. Data security risks in the application of data is a worrying aspect as one of the risk factors preventing the use over time, and regulatory disconnection. With the aid of AI, which is slowly becoming associated with sustainable marketing, the firms are able to align their strategies with the eco- and society-related objectives. The virtues of the so-called field review will be transferable to academic and related sectors because they will provide a general report concerning the role of the AI in digital marketing, its benefits, and concerns that need to be addressed. The paper concludes that AI and ML is not only revolutionizing the marketing practice, but also recuperates emerging borders in terms of ethical, responsible, and sustainable digital practices.
In today’s volatile and uncertain work environments, emotional and psychological competencies are essential to organizational sustainability. Emotional Intelligence (EI)—the capacity to perceive, regulate, and respond to emotional stimuli—has emerged as a key driver of workplace resilience. This conceptual paper offers a multilevel theoretical synthesis of the EI–resilience relationship by integrating insights from emotional intelligence theory, psychological capital, and socio-ecological systems thinking. The study proposes a three-level conceptual model in which emotionally intelligent behaviors enhance resilience at the individual (e.g., emotional regulation), relational (e.g., empathy and collaboration), and systemic levels (e.g., inclusive platform governance). Special attention is given to emerging work structures, particularly the gig economy, where resilience is shaped not only by internal traits but also by knowledge ecosystems, ethical design, and social networks. Drawing on recent research (Swain & Jena, 2023; Panigrahi & Swain, 2023, 2025), the model positions EI as both a precursor and moderator of resilience across these layers. The paper contributes to evolving discussions on emotional sustainability by redefining resilience as a distributed capability shaped by emotionally intelligent individuals and emotionally responsive systems. It offers practical insights for leadership, digital work design, and the development of emotionally sustainable organizations.
The rapidly evolving financial technology (Fintech) sector has undeniably become a critical driver of financial innovation and profound economic transformation on a global scale with regulatory frameworks playing a pivotal role in shaping its trajectory. This research presents a comprehensive comparative analysis of the regulatory frameworks governing Fintech in India and key international markets, with a specific focus on understanding the nuanced approaches to technological innovation, consumer protection, and financial stability. By systematically examining the regulatory ecosystems of India alongside leading Fintech markets such as the United States, United Kingdom, Singapore, and China, the study offers an in-depth exploration of regulatory strategies, challenges, and opportunities. The research delves into the complex interplay between regulatory mechanisms, technological advancement, and market development, providing critical insights into how different jurisdictions balance innovation with risk mitigation, this study aims to provide valuable insights for policymakers and stakeholders. By bridging academic research with policy insights, this study contributes to the ongoing discourse on effective Fintech regulation, offering a nuanced perspective on how regulatory approaches can be optimized to foster innovation, protect consumer interests, and maintain financial system integrity
A country's demographic factors can significantly alter its economic landscape. Throughout human history, population growth was often stagnant and, in some regions, even experienced periods of decline. Key parameters such as birth rate, death rate, and infant mortality rate are crucial in defining a country's demographic profile. This paper examines the demographic transition model in Haryana and its impact on economic growth. It highlights how shifts in fertility, mortality, and life expectancy alter population structures. The study analyzes demographic, social, and economic indicators of Haryana using secondary data to explore how population dynamics influence economic growth, employing tables and graphs for clear representation of key trends. Haryana has seen economic and social progress, transitioning from agriculture to industry and services. However, challenges remain, including gender inequality, social disparities, and unemployment. Addressing these issues is crucial for achieving inclusive and sustainable development across all sections of society.
This study empirically evaluates customer satisfaction and brand perception of TRIBES India, a retail initiative by TRIFED (Tribal Cooperative Marketing Development Federation of India) that promotes tribal handicrafts, textiles, and organic products. The research employs an online survey of 100 respondents to assess satisfaction levels, trust in tribal products, and areas for improvement. Key findings indicate high satisfaction with product authenticity, quality, and staff service. However, significant concerns were identified regarding pricing perceptions and product availability. While the government-backed credibility fosters strong brand trust and a sense of social responsibility, customers suggest enhancements in digital engagement, marketing, and regional accessibility. The study provides actionable insights for TRIFED to enhance customer experience, optimize pricing strategies, and expand outreach through improved operational efficiency and targeted communication
Purpose- Investor behavior is shaped by both cognitive dispositions and financial competencies. Among the psychological factors influencing investment decisions, risk aversion and locus of control have been widely recognized as critical determinants of risk-taking behavior. The present study investigates how financial literacy moderates the relationship between psychological factors specifically risk aversion and locus of control and investors’ risk-taking behavior. Design/methodology/approach- The questionnaire was divided into two segments where first segment includes demographics and second segment include questions related to financial literacy, risk aversion, locus of control and risky investment intention. Convenience and snowball via broker branches/online group is used to collect the data from investors residing in Delhi NCR region. A structural equation modeling (SEM) approach was employed and for this purpose, AMOS software (version 31.0) was used owing to its efficiency in handling measurement and structural models. Findings-The findings revealed that risk aversion, locus of control has a negative impact on risky investment intention. Further, financial literacy has a positive and significant influence on risky investment intention. Also, financial literacy as a moderating variable affects significantly the relationship between risk aversion, locus of control and risky investment intentions. Research implications- Based on this present research finding, the study is more productive for the portfolio manager and policymakers at the time of making an investment portfolio for the investors based on their psychological factors. The study recommends that investors need training programmes, workshops and seminars that enhance financial literacy and financial knowledge of investors which helps them to overcome the effect of psychological factors while making an investment decision. Originality/value- The current study aims to explore whether several psychological factors can affect investors risky intention behaviour. Moreover, the author would like to examine whether these associations are moderated by financial literacy
The animation industry across the globe is making a rapid growth and technological advancements, particularly with the induction of AI and VR/AR integrations that are becoming more and more prominent. The leading trends include collaboration of 2D and 3D elements of movies with AI-powered tools that helps in streamlining the production, and animated data visualizations. The proposed work is an in-depth business intelligence case study of the financial and creative triumph of Picxar Animation Studios as the most powerful and most influential motion picture animation giant in the world. The research leverages the capabilities of Advanced Microsoft Excel and Power BI together to reveal and compare multi-faceted information in Picxar's whole body of work—from production cost and global box office receipts to critical acceptance and viewers' ratings. Analysis comes from an IMDb, Rotten Tomatoes, and global box office value dataset. The ultimate objective is to show how data-driven decision-making can maximize strategic planning for the entertainment sector, historically based on imagination and instinct. This case study is unique in that it combines the artistic process of filmmaking with the analytical weight of business intelligence. It shows how Excel and Power BI can establish profitability patterns, compute return on investment (ROI), ascertain audience preference over time, and in the process, create smart information for studios, analysts, advertisers, and content planners. In its very nature, this study not only examines past trends, but also provides a foundation for scenario planning and forward projection in media economics. The findings show Picxar's ongoing ability to sustain narrative complexity and profitability and illustrate how thinking quantitatively and visualizing can be applied to guide real-world decisions in high-end narrative economies. The approach employed here scales up to large-scale settings, is portable across a range of disciplines, and has high applicability for data analysts, business decision-makers, and researchers operating at the technology-narrative-business interface..
This research examines how emerging technologies—especially artificial intelligence (AI) and machine learning (ML)—influence digital marketing outcomes in India’s Over-the-Top (OTT) media sector. OTT refers to streaming services delivered directly to viewers via the internet, bypassing traditional broadcast platforms. The study explores the effectiveness of digital marketing communication through the lens of the AIDA model, which tracks customer journey stages: Attention, Interest, Desire, and Action. Using a structured questionnaire with a sample of 506 OTT subscribers in India, the study measured consumer responses to key marketing variables such as brand recall, promotional timing, customer support quality, pricing, and content type. We analyzed responses using regression methods and machine learning tools like SHAP (Shapley Additive Explanations), which reveal how much each factor contributed to the outcome. Findings show that effective customer support and ease of access strongly influence consumer attention, while brand recognition and timely promotions impact purchase decisions. Interestingly, price sensitivity plays a role—but only within certain limits. This study offers practical insights for digital marketers operating in India’s crowded OTT market. It suggests that success lies in blending emotional triggers like brand trust with functional aspects like content delivery and support. By aligning strategies with data-driven insights, marketers can improve both customer acquisition and retention
The intersection of financial literacy and educational technology (EdTech) presents a transformative opportunity to address the persistent global gaps in financial knowledge, behavior, and decision-making. With increasing digital access and rising financial complexity, conventional models of financial education often fall short in engagement, personalization, and long-term impact. This paper proposes a conceptual framework for adaptive learning platforms designed to enhance financial literacy through personalized, data-driven pedagogical strategies. Drawing on theories of financial capability, behavioral economics, and adaptive learning design, the model integrates learner profiling, algorithmic content delivery, gamification, and real-time feedback mechanisms. The framework highlights how EdTech can be leveraged to move beyond static content delivery to foster behavioral change, contextual relevance, and financial decision-making skills in diverse demographic groups. This paper contributes to the literature by offering a scalable, learner-centric approach to digital financial education and by setting an agenda for empirical validation across socioeconomic and cultural contexts. Implications for policymakers, educators, and EdTech innovators are discussed, with recommendations for ethical design and digital inclusion.
