Abstract: This research report examines innovative business models in energy finance as a service (EFaaS) and leasing mechanisms within the Mexican energy sector. As México transitions toward renewable energy and sustainable development goals, novel financing structures have emerged to overcome traditional barriers to energy infrastructure investment. Results demonstrate that energy leasing and service-based models have achieved significant market traction, particularly in commercial solar photovoltaic installations and energy efficiency projects. Findings reveal that successful models incorporate flexible payment structures, comprehensive maintenance services, and performance guarantees that align incentives between service providers and clients. The discussion addresses regulatory enablers, financing innovations, and technology integration strategies that facilitate model adoption. The report concludes that EFaaS and leasing models represent transformative mechanisms for accelerating Mexico's energy transition, with implications for policy development, financial sector engagement, and sustainable infrastructure deployment.
Abstract: Artificial Intelligence (AI) has emerged as a transformative force that is redefining the way organizations approach digital transformation. By enabling intelligent automation, advanced data analysis, predictive decision-making, and personalized customer experiences, AI has become a key driver of innovation and organizational competitiveness. Despite its growing adoption, organizations continue to face several challenges, including ethical concerns, data privacy issues, cybersecurity risks, workforce adaptation, and implementation costs. This study examines the role of Artificial Intelligence in digital transformation by synthesizing evidence from recent academic literature, industry reports, and credible institutional publications. The paper adopts a qualitative approach based on secondary sources to explore how AI contributes to organizational transformation across different sectors. The analysis highlights that successful digital transformation depends not only on technological adoption but also on organizational readiness, effective leadership, employee capabilities, and responsible governance. The study further discusses the opportunities created by AI, the barriers affecting its implementation, and the future directions that can support sustainable digital transformation. The findings provide valuable insights for researchers, business leaders, and policymakers seeking to understand the evolving relationship between Artificial Intelligence and digital transformation in the modern business environment.
Abstract: There have been numerous ways in which Artificial Intelligence (AI) has revolutionized the educational process through its ability to deliver adaptive instruction, intelligent tutoring, feedback mechanisms, learning analytics, and learning through Generative AI. AI-driven personalized learning is able to provide personalized education for students, thus not only enhancing the academic achievements but also the processes involved in regulating and engaging in learning. Several studies have found that AI is able to facilitate self-regulated learning (SRL), depending on the technological design, instructional context, length of intervention and level of teacher and learner participation (Zhu & Sari, 2026; Xu et al., 2026). The current paper focuses on the possible effect of AI-driven personalized learning on three related learner outcomes including self-regulated learning, academic engagement, and learning autonomy among secondary school students. This research brings together international literature along with Indian literature such as Babbar, Raju and Kumari’s studies regarding Generative AI and Learning Efficiency in the Indian educational setting. The structured research approach and quantitative method are introduced, and then illustrated with statistical findings. The literature indicates that personalisation through AI can be effective in terms of helping learners to monitor and regulate their activities; however, it will not help in case the dependence on technology becomes too high and there is no pedagogical scaffolding present. That is why the paper concludes in favour of human-centered approach and AI as a tool rather than substitution of teachers and cognitive processes.
Abstract: The Insolvency and Bankruptcy Code, 2016 (IBC) was enacted to ensure time-bound insolvency resolution, maximisation of asset value, and balancing of stakeholders’ interests. Nevertheless, increasing procedural delays, adversarial litigation, and mounting pendency before the National nyny Law Tribunal (NCLT) have diluted the efficiency of the insolvency framework. In this evolving context, mediation has emerged as a constructive and commercially viable mechanism capable of harmonising creditor-debtor relations while preserving enterprise value. The enactment of the Mediation Act marks a significant legislative shift towards institutional and pre-litigation mediation in India’s dispute resolution architecture. This paper critically examines the growing interface between mediation and insolvency law in India with special reference to recent developments under the IBC regime. It analyses how consensual dispute resolution can supplement the rigid adjudicatory model of insolvency proceedings, particularly in operational debt disputes, inter-creditor disagreements, avoidance transactions, and pre-packaged insolvency mechanisms. The study further evaluates the Insolvency and Bankruptcy Board of India’s proposal permitting operational creditors to opt for mediation prior to initiating proceedings under Section 9 of the IBC, thereby institutionalising a culture of negotiated settlements within insolvency jurisprudence. The paper argues that mediation can substantially reduce litigation costs, preserve business continuity, maintain commercial relationships, and decongest insolvency tribunals without undermining the objectives of the IBC. It also explores the compatibility of mediated settlements with the principles of creditor autonomy, procedural fairness, and economic efficiency. By examining comparative global practices and contemporary Indian reforms, the paper concludes that mediation represents not merely an adjunct remedy but a transformative jurisprudential tool capable of reshaping insolvency governance in India from adversarial resolution to collaborative restructuring.
Abstract: This research report examines innovative business models in energy finance as a service (EFaaS) and leasing mechanisms within the Mexican energy sector. As México transitions toward renewable energy and sustainable development goals, novel financing structures have emerged to overcome traditional barriers to energy infrastructure investment. Results demonstrate that energy leasing and service-based models have achieved significant market traction, particularly in commercial solar photovoltaic installations and energy efficiency projects. Findings reveal that successful models incorporate flexible payment structures, comprehensive maintenance services, and performance guarantees that align incentives between service providers and clients. The discussion addresses regulatory enablers, financing innovations, and technology integration strategies that facilitate model adoption. The report concludes that EFaaS and leasing models represent transformative mechanisms for accelerating Mexico's energy transition, with implications for policy development, financial sector engagement, and sustainable infrastructure deployment.
Abstract: Generation Y, commonly identified as Millennials, comprises individuals born between 1981 and 1996. Characterized by profound digital immersion and technological proficiency, this cohort has been significantly influenced by the pervasive expansion of social media. Consequently, social media advertising has emerged as a formidable catalyst in shaping their purchase intentions, consumption patterns, and brand preferences. The present study investigates the multifaceted influence of social media advertising on the buying behaviour of Generation Y consumers within the contemporary digital marketplace.
The findings unequivocally demonstrate that social media advertising exerts a profound influence on the lifestyle orientations, consumption behaviour, and purchase decision-making processes of Generation Y consumers. The ubiquitous proliferation of digital platforms such as Instagram, Facebook, YouTube, WhatsApp, and X (formerly Twitter) has fundamentally reconfigured the dynamics of consumer–brand interaction. By facilitating instantaneous access to comprehensive product information, authentic consumer reviews, algorithmically curated recommendations, and influencer-generated endorsements, social media advertising substantially shapes consumer perceptions, reinforces purchase intentions, and cultivates enduring brand predispositions within the contemporary digital ecosystem.
The study further highlights that Generation Y consumers actively engage with digital content and rely heavily on online reviews and peer recommendations before making purchases. Businesses and marketers can therefore better understand consumer expectations and design effective advertising strategies to attract and retain this segment. The research concludes that social media advertising has become an essential marketing tool influencing Generation Y’s buying behaviour in the modern digital economy.