With the high increase in the development of the latest tech in modern world, the use of electronic devices and smart appliances has gone way up in the daily life. Consequently, the patterns of energy consumption continuously change, with highly dynamic behaviour over time. Precise monitoring of the real-time loads variation is critical in the grid management process and for the improvement of energy efficiency. Energy disaggregation, which uses the total aggregated load data to estimate the power consumption of individual appliances, is a highly promising and economical method to monitor electricity usage, and in real time. It offers useful information to consumers, utility providers, researchers and policy makers by enabling informed decision making and efficient grid operations implementation strategies. Non- Intrusive Load Monitoring (NILM) is a data-driven method to ascertain the power consumption of individual appliances, based on measurements taken from a single point of measurement (usually a main energy meter). This approach eliminates the need for multiple sensors on each appliance and thus makes it cost-effective and appropriate for smart homes. This thesis is on the design and implementation of an efficient NILM framework based on energy disaggregation methods for residential smart home applications. The proposed research is divided into four major phases. The first phase is a detailed review and comparative analysis of current NILM techniques used with a variety of load characteristics and a focus on their applicability to residential energy monitoring. The development of such techniques will allow for the proper disaggregation of individual appliance loads from aggregated consumption data, which will increase the effectiveness of NILM in the energy disaggregation process. In the second phase, different energy disaggregation algorithms which are suitable for smart home environments are analyzed and the most suitable method for residential load monitoring applications is determined.

The hospitality industry represents a critical economic sector in India, contributing approximately 9.2% to the country's GDP and generating substantial employment opportunities (Ministry of Tourism, 2023). However, despite the essential role that housekeeping plays in hospitality operations, it remains persistently undervalued and stigmatized across Indian society. This comprehensive research paper examines the complex socio-cultural factors that shape students' perceptions of housekeeping as a career option in the Kumaon region of Uttarakhand, India. Drawing on extensive literature review, empirical findings from recent studies, and theoretical frameworks, this research identifies that gender roles, cultural attitudes toward manual labor, family expectations, and educational awareness gaps are the primary determinants influencing students' career decisions regarding housekeeping. The paper synthesizes findings from 50 peer-reviewed sources and presents data-driven insights that can inform educational interventions and policy reforms to reframe the perception of housekeeping as a professional, legitimate, and advancement-oriented career pathway.

This study examines the role efficacy among women employees working in public sector banks in Patna City, Bihar, India. Role efficacy refers to an individual's potential effectiveness in performing organizational roles and is crucial for career advancement and organizational success. A cross-sectional survey design was employed with a sample of 180 women employees from five major public sector banks. The study utilized Pareek's Role Efficacy Scale to measure ten dimensions of role efficacy. Results indicated moderate levels of overall role efficacy (Mean = 6.42, SD = 1.23) among women bank employees, with significant variations across different dimensions. Centrality and creativity showed the highest scores, while personal growth and confrontation showed lower scores. The findings suggest the need for targeted interventions to enhance specific dimensions of role efficacy, particularly in areas of personal growth, interpersonal relationships, and work-life integration for women in the banking sector.

The growing concern over the value-based form of sustainability has brought workplace spirituality (WPS) into the centre stage of organizational research, particularly in the emerging economies like India. The given paper dwells upon the impact of individual psychological capabilities and personal spiritual values on workplace spirituality and elaborates how the presence of a higher purpose of work in business organizations mediates the relationship between the two. The study also examines the impact of workplace spirituality on ESG (Environmental, Social and Governance) commitment by enhancing sustainability behaviour, ethics & governance, employee wellbeing, corporate social responsibility and self-transcendence. The study design was quantitative in nature and 412 individuals responding from the different industries were sampled and utilized to collect data through valid scales. PLS-SEM has been utilized in analysing the relationships. The results have demonstrated that spiritual intelligence, emotional intelligence and personal spiritual values contribute towards spirituality at workplace significantly and positively. Further, working with a higher purpose mediated this relationship positively demonstrating that that employees who perceive their work as significant social contributions is more spiritually involved at work. The study concludes that the effect of incorporation of psychological and spiritual development in organization practices can have a significant positive effect on the workplace spirituality and can contribute to creating ethics and sustainability with an emphasis on ESG in the business arena. It addresses the often-overlooked role of workplace spirituality in promoting ethical and socially responsible behavior. The study also integrates workplace spirituality (WPS) with Environmental, Social, and Governance (ESG) outcomes, offering organizations a framework for meaningful ESG implementation. Furthermore, the study contributes to support Maslow’s extended theory of hierarchy of needs by empirically validating that spiritual values can help achieve self-transcendence at workplace. Overall, the study fills research gaps and establish how spiritual values can inspire positive, ethical, and sustainable behavior within organizations.

The current study is a bibliometric study that will investigate the development and effect of eco-labeling in green marketing, and in particular its contribution to the consumer buying behaviour. The Scopus database was searched to retrieve the data. The analysis will include 67 documents published since 2015 and 2025, which will demonstrate a significant rise in the number of research results since 2022 and the increasing interest of scholars in sustainable consumption and green marketing. The major results indicate that the eco-labeling, sustainable development and consumer behaviour are the prevailing themes within the field and thus, the eco-labeling is a critical aspect of the modern day green marketing approaches. The analysis of citations shows that the highest level was reached in 2020, and it presupposes a better understanding of the field relevance. Co-citation network analysis and thematic cluster analysis indicate the most useful contributors and directions of research, and special focus is put on the psychological and economic forces that influence the green consumer behaviour. Theory and practice implications clearly establish the role of eco-labels in promoting sustainable consumption and the need to have businesses through their green marketing policies capitalize on these labels. The present paper positively adds to a better understanding of the significance of eco-labeling in enhancing sustainability and provides the information on possible directions to conduct further research. 

The rapid digitization of global society has fundamentally altered the landscape of criminal activity, necessitating a shift from traditional reactive policing to proactive, technology-driven strategies. This article examines the critical role of Artificial Intelligence (AI) in policing cyberspace, specifically focusing on its application in crime detection, monitoring, and the emerging phenomenon of digital arrests. As cyber-criminals employ increasingly sophisticated methods to exploit vulnerabilities in digital infrastructure, law enforcement agencies have integrated machine learning algorithms, predictive analytics, and automated surveillance systems to maintain order. However, the transition to AI-centric policing introduces complex ethical and legal challenges, particularly regarding privacy, algorithmic bias, and due process. Drawing on empirical observations from interactions with cyber-crime victims, legal professionals, and police personnel, this study highlights the efficacy of AI in identifying patterns of illicit behaviour while cautioning against the potential for digital confinement. The research emphasizes the need for a balanced regulatory framework that leverages AI’s capabilities for public safety without compromising fundamental human rights. By analysing recent legal precedents and technological trends, the article provides a comprehensive overview of the current state and future trajectory of AI in cyber-policing.

AI has evolved from a futuristic idea to a key component of contemporary marketing strategy. The various uses of AI in the marketing industry are reviewed in this paper in a methodical manner. Consumer behaviour analysis, personalised customer experience, content creation, and predictive analytics are the four main functional areas into which we divide AI applications. According to recent research on five-star hotel reviews in India, sentiment analysis and machine learning are given particular attention in the hospitality sector. The review's conclusion highlights current research gaps and suggests a future research agenda that focusses on ethical issues and the collaborative interface between humans and AI.

The rapid integration of artificial intelligence (AI) into organizational systems is transforming how work is designed, managed, and experienced. While AI-driven technologies promise efficiency and performance gains, their implications for employee well-being remain contested. Existing research is fragmented across disciplines and levels of analysis, limiting a comprehensive understanding of AI’s human consequences. This study presents a multilevel review of empirical research examining the relationship between AI use in organizations and employee well-being. Following a systematic review process, 136 articles were initially identified, of which 72 empirical studies met the inclusion criteria. Using an inductive thematic approach, the literature is synthesized across individual, team, and organizational levels of analysis. The review reveals that AI can simultaneously act as a resource and a stressor for employees, influencing job design, psychological health, trust, and engagement depending on contextual and governance factors. The study contributes by offering an integrative multilevel framework, identifying gaps for future research, and providing actionable insights for organizations seeking to adopt AI while safeguarding employee well-being.

Over the past two decades, there has been a significant change in corporate reporting trends. Growing awareness about the need of incorporating sustainability into business practices in order to help an economy in meeting its sustainable development goals (SDGs) has significantly altered stakeholders’ information requirements (Adams, 2015). Stakeholders these days are demanding not only the financial information but also information related to environmental, social, and governance (ESG) aspects of business activities. Traditional corporate reporting frameworks, which apparently focus on financial outcomes, have been criticised for their inability to capture these broader dimensions of organisational performance (Vitolla et al., 2019). In response to these limitations, organisations have begun to adopt more comprehensive reporting approaches based on integrated thinking and a holistic view of value creation. Integrated Reporting (IR) is a part of progressive corporate reporting system through which companies can disclose their significant financial as well as non-financial data in a systematic manner using IIRC framework. This paper aims to provide theoretical background about integrating reporting as a new dimension of corporate reporting. An attempt has also been made to review existing literature in the area to examine the recent trends in integrated reporting by the corporates across the world.  It has been observed that IR has gained momentum in the last decade mainly in past few years. Big corporations across the world have started moving towards adopting integrated reporting approach to provide holistic information to the stakeholders in order to help them in making investment and other decisions.  It has also been found that various corporate governance variables have significant and positive impact on the level of IR by corporates.  The study focuses the need for promoting awareness towards the advantages of integrated reporting to encourage more companies towards the new concept of reporting.

Introduction of Artificial Intelligence (AI) into the work of the world law enforcement system and criminal justice significantly changes the approach to crime prevention, its detection, and investigation. This detailed research paper critically focuses on the duality of AI as a Digital Detective with a methodical review of its transformative uses as well as its radical condition to civil liberties, rights to privacy as well as social equity. As a result of an elaborate inspection of the current literature (2015-2024), we discover and assess three key areas of AI application: predictive analytics, biometric surveillance, and forensic data processing. We can find that, on the one hand, AI systems have never been able to provide greater opportunities in the field of crime pattern recognition, resource optimization, and evidence analysis; on the other hand, they pose significant threats of algorithmic bias, a loss of democratic responsibility, and a fundamental right of infringement. The article evidences that such risks are not purely hypothetical but are being empirically witnessed in deployment situations in a variety of jurisdictions. A multidimensional system of governance including technical, legal, ethical protection, we suggest, unless there is a strict supervision, principles of inclusive design, and ongoing algorithmic auditing, the application of AI to crime solving poses a risk of betraying the very values of democracy that it is supposed to uphold. The study adds to the existing literature on the topic of ethical AI because it presents a comprehensive impact of the analysis of technical abilities and socio-legal implications, as well as specific policy suggestions on how to balance the needs of civil liberties preservation and public safety imperatives.

Teacher moonlighting, a practice of engaging in a secondary job alongside primary teaching responsibilities, has gained momentum due to rapid technological advancements and the expansion of the gig economy. Technology, especially in the post-COVID era, has transformed work spheres, blurring the boundaries between primary and secondary employment. Moonlighting today is no longer an exception but has become a necessity driven by financial needs, skill diversification, or career advancement. As educators wade through dual employment work structures, organisations face challenges in managing and retaining talent. This paper proposes human centric approaches to manage moonlighting while enhancing teacher retention, engagement and commitment. The study emphasises that moonlighting should be viewed as a catalyst for skill diversification, career growth and educational excellence. It focuses on innovative strategies such as flexible work hours, sufficient rewards , performance recognition, development opportunities, clear guidelines, institutional credit for upskilling etc that can create a balance between educator’s  aspirations  and organisation’s objectives . The study concludes that management of moonlighting calls for a forward-looking approach that aligns both- organizational sustainability and teacher empowerment.

The 21st century is transforming the way people work, by the introduction of AI, automation, big data and cloud-based systems that assist people in making decisions, engaging customers and generating new ideas.  Leadership, in the case, does not only mean being efficient, in charge, but also flexible, open-minded, technologically minded, and capable of thinking about moral issues.  Classical paradigm leadership (i.e., transactional or role-based) is only relevant in a stable environment, but not at all in the complexity and uncertainty of digital transformation (Cortellazzo et al., 2019). Other research goes further and provides leaders with the reminder that they should integrate algorithmic decision-making with compliance and the duality of customization and sustainability in business (Meyer et al., 2023). Recent essays are adding to the growing body of knowledge regarding digital leadership, but most studies concentrate on a single component, including digital fluency (Davenport and Redman, 2020), agility (Rialti et al. 2024), or emotional intelligence (Ertiö, et al., 2024) but without the provision of any unified framework. On the same note, competencies are structurally embedded as noted by international studies (Kart, M., Şimşek, H.2024), but there is a debate on the development of such competencies under the resource-poor conditions like India (Pradhan and Jena, 2019) such a discrepancy highlights the need for comparative analysis—on the one hand, international studies emphasize that digital leadership competencies are structurally embedded within formal organizational systems, while on the other, research in resource-constrained contexts like India suggests that these competencies often emerge through individual improvisation rather than systemic embedding. This gap is addressed by this paper, which is a systematic review of the studies on the leadership of the digital era in the world and in India.   It pinpoints five capabilities — digital fluency, adaptive agility, emotional and cultural intelligence, ethical judgment, and an innovation mindset — and illustrates the HR practices that embed these capabilities. The paper brings together two perspectives on digital leadership: the structural view, emphasized in global studies, which sees competencies as embedded within organizational systems and formal processes; and the contextual view, highlighted in Indian research, which shows that such competencies often emerge through individual adaptation and improvisation in resource-constrained environments to advance leadership theory and offers practical implications for HR practitioners focused on preparing leaders for the future of work in a digital economy. 

In the year 2024 a 16 years old British girl was reportedly raped in the metaverse. This incident drew attention of many towards the most difficult question and that was that can a sexual offence take place even without a physical contact in a virtual world? Undoubtedly, artificial intelligence and metaverse are the topmost noticeable technology trends that are being discussed in the present era. It is imagined as a continuous and collaborative area where digital replicas of ourselves, known as avatars, may freely navigate between different experiences while retaining our identities. Howbeit, in a survey reported by Outlaw it was noted that with 609 virtual reality users, 49% of female users reported having at least one previous encounter with sexual offences in virtual world. This proves that the case in Britain is not an isolated incident as similar instances are being reported across the globe. India now has a new set of criminal laws however one needs to ask whether these new laws are capable of handling what the future has stored within it. Through empirical research the authors in this study wish to highlight the views of our budding law students towards sexual harassment under the garb of avatar in virtual reality games. This study highlights those sexual offences in a virtual world is a harsh reality from which there is no escape and it is an ardent need of the hour that our legal system is capable enough to tackle this conundrum.

Celebrity endorsements influence customer purchasing decisions. Customers believe these attributes determine the effectiveness of advertising. Therefore, effective advertising and promotional strategies increase awareness convince customers that a product is important to them, and motivate them to purchase and experience it fully. When customers purchase high-quality products, they generate repeat demand, which is a company's strategy for retaining customers over time. The purpose of this study was to analyze the correlation between advertising and celebrity endorsements. The results showed that advertising has a significant impact, and furthermore, celebrity endorsements appear to have a significant relationship with customer attention.

This empirical study investigates the multidimensional relationship between media exposure and investor behavioral responses in contemporary financial markets. Utilizing a comprehensive dataset spanning 2020-2025, encompassing 2,340 publicly traded securities across global markets, this research employs advanced econometric techniques to quantify media influence on investment decision-making processes. The analysis reveals that media sentiment serves as a significant predictor of investor behavior, accounting for approximately 42% of variance in short-term trading volumes. Social media platforms demonstrate the strongest immediate impact (β = 0.687, p < 0.001), while traditional media exhibits more sustained influence patterns extending beyond initial publication. The study identifies asymmetric response patterns, with negative sentiment producing 1.7 times stronger behavioral reactions compared to positive coverage. These findings challenge traditional efficient market assumptions and provide empirical evidence for media-driven market inefficiencies. The research contributes to behavioral finance literature by establishing quantitative relationships between information dissemination channels and investor psychology, offering practical insights for portfolio managers, regulatory authorities, and financial market participants.

To figure out the mental processes that happen in the consumer's brain and affect their choice, neuromarketing is the most powerful interdisciplinary field that impinges neuroscience, psychology, and marketing science. Traditional marketing research instruments are no longer sufficient to embrace the complexity of the contemporary consumer behavior in the digital world, which is characterized by the rapid flow of information, algorithmic personalization, attention scarcity, and emotionally charged content. This survey makes an argument of the importance of the brain parts like the prefrontal cortex, amygdala, hippocampus, and nucleus accumbens which influence valuation, trust, emotional engagement, and reward anticipation. Besides, it consolidates the theoretical, neurological, behavioral, and technological changes in neuromarketing. The review, in addition, considers the modalities through which digital behavioral analytics (clickstream, social media metrics, A/B testing), physiological measurements (eye, tracking, GSR, HRV), and neuroimaging tools (fMRI, EEG) collaborate to deepen the understanding of consumer cognition and emotion. Among the most significant behavioral insights are those that reveal decision fatigue, digital nudging, social proof, and memory, based brand recall as some of the mechanisms through which subconscious processes have led to the formation of attitudes and purchasing behavior. The research also delves into industry applications in product design, pricing strategy, branding, advertising optimization, and customer experience improvement. Despite its promise, neuromarketing is riddled with methodological constraints, financial obstacles, issues of ecological validity, and ethical concerns related to privacy, manipulation, transparency, and cultural sensitivity. It is expected that further advancements in wearable neurotechnologies, artificial intelligence, virtual and augmented reality, and cultural neuroscience will expand the field's capacity for prediction and practical application. This review finds that neuromarketing provides essential insights in an increasingly digital and personalized market that can help in the development of consumer, centric, ethically sound, and cognitively aligned marketing strategies.

Blockchain technology, originally developed for cryptocurrencies like Bitcoin, is now gaining traction across various sectors, including tourism. Its decentralized structure offers enhanced transparency, security, and efficiency, key advantages for the tourism industry, which often depends on multiple intermediaries. This paper examines blockchain applications such as secure bookings, digital identity management, loyalty programs, and sustainable tourism. Using thematic analysis of literature and case studies, four key themes emerge: decentralized trust, data integrity, service innovation, and sustainability. The study also presents policy suggestions and future research directions, offering valuable insights into blockchain’s transformative potential and challenges within tourism’s digital evolution.

The use of Artificial Intelligence (AI) in Human Resource Management (HRM) has significantly impacted the way a company formulates strategies related to human resource optimization, cost control, and long-term viability. In emerging countries like India, where companies function in a labor-intensive, cost-conscious, and intensely competitive market, AI-based HRM has attained strategic importance that goes beyond administrative efficiency. This study aims to determine the impact of best practices in AI-based HRM on cost efficiency and viability in India companies. The study adopted a quantitative study design, and primary data were collected from 312 human resource and finance practitioners working in manufacturing, IT, service, and retail companies in India. Some of the statistical tests utilized to validate the proposed hypotheses were descriptive, correlation, and multiple regression tests. Results indicate that the application of AI in HRM has increased cost efficiencies through reduced recruitment expenses, enhancing human resource planning, and reducing employee turnover. Furthermore, cost efficiencies were established to play a vital role in enhancing financial sustainability, which was examined through increased profits, efficient resource management, and optimal operations. The findings of this study contribute to the established literature of AI in HRM, highlighting real-world examples in the Indian context, which is essential for managers who want to align the digital transformation of HR with the financial perspectives of the firm.

The welfare of the employees has recently been a fundamental concern on which organizations looking to boost its performance as well as keeping or generating competitive advantage have focused on. This is going to be a study on organizational performance and employee welfare correlation with an intermediary role of employee engagement in this process. Using the assistance of a quantitative research approach, structured questionnaires on well-being, engagement, and performance measurements participation were completed by 250 respondents, who professionals work at different industries. Finding of the hypothesized relationship was done using statistical tests, combining correlation, regression, and the mediation tests. The results showed that employee well-being had a great association with organizational performance with mediation of employee engagement. The employees with a higher proportion of well-being enjoyed increased engagement rate, which subsequently had more positive outcomes in the organization in terms of productivity, innovation and retention. The findings indicate that an individual should push the interest of employees and staff to achieve a sustainable organizational performance. One of the implications, which can be used practically, is the development of well-being programs, the promotion of work-life balance, and rolling out engagement strategies as part of organizational culture. The restrictions and prospective research are also argued in a bid to assist the scholars and practitioners in the development of this field.

The increasing diversity of the workforce has intensified the need for organizations to adopt effective Human Resource Management (HRM) practices to address diversity-related challenges. This study investigates the impact of key HRM practice dimensions on organizations’ ability to manage workforce diversity challenges. Using structural path analysis, the study examines four dimensions of HRM practices: Policy Design & Strategic Alignment, Communication & Awareness, Recruitment, Retention & Performance Systems, and Training, Support & Recognition. The findings reveal that all four dimensions exert a significant positive influence on HRM practices in facing diversity challenges at the 1% significance level. Among these, Communication & Awareness emerges as the most influential factor, followed by Recruitment, Retention & Performance Systems, Training, Support & Recognition, and Policy Design & Strategic Alignment. The study highlights the strategic importance of communication-driven and system-oriented HRM practices in fostering inclusive and diverse workplaces. The findings offer valuable insights for HR professionals and policymakers aiming to strengthen diversity management through evidence-based HRM strategies.

This study examines the factors influencing global football fan loyalty toward successful European clubs by exploring the role of community engagement as a mediating mechanism. The research investigates six constructs: community development, tangible and intangible fan behavior affiliations, online presence, community engagement, and brand loyalty. Data were collected from football fans across diverse geographical regions and analyzed using SPSS 29.0 and AMOS 29.0.0. Reliability and validity of the constructs were established prior to hypothesis testing. Structural equation modeling and mediation analysis were employed to examine the proposed relationships. The results indicate that community development, fan behavior affiliations, and online presence significantly influence community engagement. Community engagement, in turn, has a strong positive impact on brand loyalty toward football clubs. The mediation analysis confirms community engagement as a key psychological mechanism linking fan-related and digital factors to loyalty. The findings highlight the importance of interactive, participatory, and community-driven strategies in fostering sustainable fan loyalty. 

The prevalence of online technology has changed educational landscape in India significantly with Web Based Learning (WBL) being one of its most integral parts. This research evaluated online technology as a method of learning that is effective for higher educational institutions in Karnataka, using a survey distributed to learners enrolled in internet enabled courses. Factors evaluated in this study included learner behaviours, instructor features, technology structures, interactive tools and features and assistance from institute or academy. The research study supported a sizable impact on a connection with academic success and happiness; furthermore, the findings suggest that learners vary in relation to their adjustment styles, including non-adjustable, uncompromising, disillusioned and mock-up. While the flexibility and accessibility of WBL is well received, it still has its challenges with the students adapting to once engage interaction and performance. It is important to note that applying sound institutional support; digital established infrastructure and pedagogy that encourages learner centered outcomes could further enhance the context of WBL effectiveness.

Emotional intelligence (EI) has become a key factor of success in the modern workplaces, not only affecting the performance of people but also the relations, collaboration, and the end results of the organization. The article is a discussion of the interface between EI and workplace achievement of employees with a view to assessing how employee capacity to identify, interpret and control emotions relates to career advancement and performance. The researcher used the convenient sampling method to choose a total of 300 respondents. This method made it easy for the researcher to find people who were willing to take part in the study. Using empirical data, the study explores the demographic variables (age, gender, and marital status) to determine whether or not there are differences between groups in their perceptions of EI as a predictor of success in the workplace. The results indicate that age and marital status do not have any significant differences on the perceptions of the employees, though there are gender differences with female employees having a stronger relation between EI and workplace success than the male employees. These findings indicate the universality of EI, as well as point to some differences in the extent to which it is appreciated by demographic groups. The discussion indicates that workers with increased EI have better chances of professional achievement, resilience, interpersonal effectiveness and leadership possibilities. The article concludes by providing an implication to organizations in terms of recruitment, training and performance management strategies that use EI as a key determinant of comprehensive workplace success.

The increasing strain on the natural resources coupled with the increasing social inequalities has increased the pursuit of development models that would not give preference to either of economic growth, environmental protection or social well-being. In this regard, the concept of the circular economy and social entrepreneurship has become complementary to each other and is likely to provide a revolutionary course to sustainable development. The circular economy will ensure efficiency of resources through reduction, reuse, recycling, and regeneration thus reducing the number of wastes and environmental degradation. Social entrepreneurship however is geared at responding to social and environmental issues by creating innovative, mission-driven business models that aim at creating social value as well as sustaining financial sustainability. The paper dwells upon the overlapping of principles of circular economy and social entrepreneurship, outlining how the two parties can be combined to provide an inclusive, resilient, and sustainable economic framework. The study brings to the fore the application of circular practices in social enterprises, by conducting a comprehensive literature review on the topic, policy frameworks, and practical initiatives, to solve the following problems: waste management, resource scarcity, unemployment, and community development. The review indicates that social entrepreneurs are important in implementing the idea of the circular economy at the grassroots by engaging the local community, promoting behavioural changes, and establishing local value chains. The paper also explains the opportunities and challenges alike with this integration such as availability of finance, regulatory support, scalability and constraints with technology. It maintains that a circular economy plan and social entrepreneurship are able to align to improve in the long-term sustainability outcomes by integrating social responsibility with social inclusion. The results highlight the importance of the support policy, cross-sector cooperation, and capacity-building approaches to enhance this synergy. In sum, the paper locates the intersection between circular economy and social entrepreneurship as a prospective area of potential to pursue sustainable development objective and allow us to create a more just and more resource-abundant future.

The transition of E-Commerce sector has been marking a significant change in the Consumer Behavior with the advantage of new Technology in catering the products and delievening the services to consumers with speed and accuracy. This made a remarkable change in the mindset and thinking patterns and change in taste and preference of consumers in making decisions as far as new logistics capacities of E-Commerce players and quick deliveries are concerned. The rapid expansion of quick commerce businesses which promise ultra- fast last mile delivery requires an urgent assessment of their environment sustainability. Dark stores have emerged as a revolutionary fulfilment model in India retail landscape driven by the growing need for time efficient and reliable deliveries. Convenience delivery speed and safety are identified as primary motivators influencing usage. This study made an effort to examine the role of dark stores and quick deliveries particularly and the impact of these developments on the consumer behavior.

In the present scenario fashion world is leading the entire business world. In this researcher have found that even fashion world is encouraging the business too. Luxury accessories are leading into generation of revenue. The research is to explore the variables which influence the purchase intention of the luxury goods. Data has been collected from the appropriate sample in Likert’s scale with google forms. The collected has been analysed with IBM SPSS software and Smart-PLS. It is proved data is reliable and valid which generated SEM with variances which conclude even few of the demographic factors also influencing the purchase intention of the luxury products.

Over-the-top (OTT) streaming platforms have become a routine part of entertainment consumption, particularly among youngsters. With multiple platforms competing for attention, it has become important to understand how young viewers perceive different OTT services. This study explores youngsters’ perceptions of Netflix, Amazon Prime Video, JioHotstar, Zee5, Apple TV Plus, and SonyLIV using Multidimensional Scaling (MDS) carried out in SPSS. By analysing attribute-based evaluations, the study develops a perceptual map that clearly illustrates similarities and differences among platforms. The results highlight distinct perceptual groupings between premium, content-focused platforms and value-driven, regionally oriented platforms, offering useful insights for OTT service providers targeting the youth segment.

The new, present day capital reserves have endorsed expansion in its approach, attribute to the assimilation of Environmental, Social and Governance aspects. The association between ESG projects and commercial performance is analyzed with a perspective of underlining India as a progressive trading place, witnessing amendments. An expert judgment from year 2010 to 2025 is assimilated using the PRISMA method. The outcomes seen were varied and complicated. The ESG factors improved and enhanced the brand identity, shareholders trust and reliability whereas the effects on the gains differ from company to company. Considering the universal perspective ESG factors reduces cost of capital and promotes estimations. From India’s point of view, relationship can be defined as assorted owing to administration rules and regional fluctuations. The Business Responsibility and Sustainability Report (BRSR) of SEBI’S promotes clarity however focuses on incorrect information, expenses and paint a possibility of eco-friendly wash. The present-day industrial sector research showcases environmental/social profits whereas points out the administration shortcomings. ESG provides administrative commitment as well as competitive track. The methodology suggests regularization admission, endorsing SME’S, external authentication and ESG- economic harmony.

The study examines crucial knowledge gaps which are present in the implementation studies of AI for organizational processes. The existing body of knowledge concentrates on AI applications separately but does not examine the comprehensive integration of AI automated systems with critical legacy systems on which organizations still rely. The integration of old infrastructure systems generates operational humps which need functional integration approaches to ensure existing business operations continue running. The existing body of research does not have enough studies regarding how individuals and social factors respond to AI system implementation. The existing research emphasizes efficiency and cost minimization without exploring how AI adoption influences staff members through role adjustments and skill requirements and psychological implications. The study does not explore how AI systems will continue to operate with stability over long durations of usage. The majority of current case studies report pilot schemes over the short term but fail to touch upon the long-term issues such as maintenance costs and algorithm deterioration and system growth challenges and the requirement for ongoing algorithm updates. There are theoretical frameworks for AI regulation but organizations find it challenging to apply these rules to practices. Organizations are finding it difficult to implement ethical standards in practice since they must contend with algorithmic bias and define explicit systems of accountability for AI governance. The study formulates a large-scale framework for AI deployment that covers both workforce impacts and legacy system integration and long-term operational stability and ethical management practices. AI automation influences employee morale, job descriptions, and the skills deficit at a level deeper than simply a macro view of job replacement. The study offers academic and organizational benefit through its technologically driven and socially ethical and inclusive strategy for the use of AI.

The study investigates the role of non-celebrity social media influencers in shaping consumer purchase decisions towards personal care products. The emergence of social media platforms has enabled people with specialized knowledge or relatable personalities to have considerable impact. The study investigates the impact of non-celebrity influencers on consumer views and choices surrounding personal care goods. It utilizes qualitative analysis and survey data to examine how these influencers use their authenticity, knowledge, and interaction with audiences to exert influence. Findings suggest that non-celebrity influencers play a crucial role in building trust and credibility, providing authentic product recommendations, and creating relatable content that resonates with consumers. Moreover, they contribute to shaping consumer attitudes by fostering a sense of community and facilitating informative discussions around personal care products. Understanding the mechanisms through which non-celebrity influencers influence consumer behavior can offer valuable insights for marketers aiming to capitalize on the power of social media in promoting personal care products.

This paper investigates the role of green branding in shaping the sustainable purchasing decisions of Generation Z (born c.1997–2012). Drawing on interdisciplinary literatures in sustainable marketing, consumer psychology, and digital media studies, the study synthesizes recent empirical evidence and theoretical perspectives to identify the mechanisms through which green brand signals (e.g., eco-labels, transparent supply-chain disclosures, corporate social responsibility communication) influence Gen Z attitudes, intentions, and actual purchase behaviour. Attention is given to the mediating roles of trust, perceived authenticity, and green self-identity, as well as moderating influences such as price sensitivity, social norms enacted in social media microcultures, and situational constraints (e.g., availability, convenience). The paper proposes an integrative conceptual model that links green-branding practices to decision-making processes rooted in the Theory of Planned Behavior and contemporary value-attitude-behaviour frameworks. Methodological implications for future empirical work are outlined, prioritizing mixed methods, behavioural field experiments, and trace-data analysis from e-commerce platforms and social networks. The study concludes with managerial recommendations for ethically credible green branding targeted to Gen Z and a research agenda that highlights unresolved questions — notably about greenwashing detection, the effectiveness of third-party verification, and longitudinal change in Gen Z cohorts as they age and gain purchasing power. The paper aims to provide a rigorous, researchable foundation for academics and practitioners seeking to align branding strategies with genuine sustainability outcomes among younger consumers.

Among the employees of the textile sector in the state of Haryana, the current paper analyzes the rates of psychological capital on Innovative Performance among employees in the textile industry of Haryana. Psychological capital entails different components like optimism, hope, resilience, and self-efficacy, whereas Innovation entails components like idea generation, idea promotion and idea implementation, which is also a major source of competitiveness within the textile industry in Haryana. Due to the fast use of automation and digital technologies, textile producers have been able to grow more in productive and minimise costs. These innovations are not only able to enable businesses cut down the cost of doing business, but also make them leaders in satisfying the global demand of fast fashion. Innovative Performance among the employees is an important study because the textile industry of Haryana is also facing issues like experiencing contest, technological problems, and innovation requirements, and the employees’ capabilities become very crucial in such an instance. The sample size was 100 employees, and the statistical evaluation revealed that the employees have relatively high scores of Psychological Capital (Mean = 4.21, SD = 0.41). It was evident because male employees showed higher levels of Psychological Capital in comparison of female employees. The statistical evaluation score of innovative performance (Mean = 4.15, SD = 0.38) revealed that the employees have high innovative performance. To improve things like motivation, teamwork, idea generation, idea promotion and idea implementation and job performance in the textile industry, the results exhibit the value of positive psychological resources, high innovative performance and close social relations. The research is focused on how psychological capital can contribute to positive Innovative Performance towards the development of performance and organisation.

Today, companies and brands advertise their goods and services using various media platforms and provide consumers with offers that stand out from the competition and encourage them to make a purchase. New media are produced by technological advancements, providing customers with a diverse range of information. Prior to purchasing goods and services, customers can examine product reviews, compare prices and features across products using an internet platform, and make an informed decision. Due to the numerous and varied offers made by advertisements, digital advertising is now one of the most effective, quick, and amazing ways to generate desire to purchase.  The present study, which is descriptive and analytical in nature, attempts to examine the impact of digital advertising on consumer buying behaviour in Sivakasi Taluk with a sample of 120 respondents selected by using a convenience sampling technique. To analyse the data, a set of statistical techniques such as percentage analysis, Correlation, and Regression was used.  It is found that there is a strong relationship exists between digital advertising and consumer buying behavior, such that consumers buy more products to which they are exposed to the benefits through digital information. Therefore, it is suggested that providing close information to target customers and prospects may enhance sales volume and increase profit.

The rapid expansion of FinTech trading platforms has transformed the investment landscape in India by providing easy and quick access to financial markets. In cities like Surat, a growing number of retail investors actively use digital platforms for trading and investment purposes. However, despite technological advancement, investors often make decisions influenced by psychological and emotional factors rather than rational analysis. This study aims to examine the behavioural biases affecting investment decisions on FinTech trading platforms in Surat District. The study is descriptive in nature and is based on primary data collected from 700 FinTech investors using a structured questionnaire. Secondary data was collected from journals, reports, and previous studies. Various statistical tools such as frequency analysis, descriptive statistics, normality tests, reliability analysis, correlation, t-test, ANOVA, and chi-square tests were applied for data analysis. The findings reveal that behavioural biases like overconfidence, herd behaviour, and loss aversion significantly influence investment decisions. Results also indicate that factors such as age, experience, and platform usage patterns play an important role in shaping investor behaviour. The study concludes that while FinTech platforms encourage greater participation in financial markets, they also increase the risk of biased decision-making. Understanding these biases can help investors make better choices, assist platforms in designing responsible systems, and support policymakers in improving investor protection. The study contributes valuable insights into behavioural finance in the context of digital trading.