Volume 3 • Issue 1 • 2026
Abstract
The Indian financial services ecosystem has undergone a profound transformation driven by the convergence of
Financial Technology (FinTech), Regulatory Technology (RegTech), and Insurance Technology (InsurTech), supported by
proactive regulatory intervention and robust digital public infrastructure. This paper examines the evolving role of these
technologies in strengthening financial inclusion, regulatory compliance, and customer-centric service delivery in India.
Adopting a descriptive and analytical research design, the study is based on secondary data drawn from regulatory publications,
industry reports, academic literature, and institutional statistics. The analysis highlights how FinTech innovations—particularly
digital payments and platform-based financial services—have expanded access and efficiency, while RegTech solutions have
enhanced governance, compliance, and risk management under the oversight of the Reserve Bank of India (RBI). Further, the
paper explores the growing relevance of InsurTech in improving insurance penetration, underwriting efficiency, and claims
management through data-driven and digital models. The findings suggest that the integrated adoption of FinTech, RegTech,
and InsurTech contributes to a more inclusive, transparent, and resilient financial system. The paper concludes that India’s
regulatory-led innovation model offers valuable insights for emerging economies seeking to balance technological
advancement with financial stability, ethical governance, and inclusive growth.
Keywords: FinTech, RegTech, InsurTech, Financial Inclusion, RBI, Digital Finance, India
Abstract
Buy Now Pay Later (BNPL) services have become popular due to the quick development of financial technology,
especially among young adults who favor flexible, short-term loan choices. Concerns have been raised about the possible long
term financial and psychological effects of BNPL services, despite the fact that they are convenient, accessible, and reasonably
priced. The majority of the material currently in publication has been on the adoption of BNPL, consumer spending patterns,
and debt accumulation; the psychological effects of BNPL usage have received less attention. In order to close this gap, the
current study intends to theoretically investigate the relationship between young adults' financial anxiety and BNPL services,
with an emphasis on the mediating function of perceived debt burden.
Using a conceptual research technique, the study creates an integrated conceptual framework by combining ideas from the
literature on consumer behavior, financial psychology, and behavioral finance. According to the suggested framework, more
BNPL usage promotes repeated and postponed borrowing, which raises the perceived debt load and thus causes increased
financial concern. This study adds to the growing conversation on digital credit and financial well-being by emphasizing
perceived debt burden as a crucial psychological process. By highlighting the necessity of striking a balance between loan
accessibility and psychological and financial well-being in the growing BNPL ecosystem, the study provides significant
theoretical insights and practical consequences for fintech companies, financial institutions, and legislators.
Keywords: Buy Now Pay Later (BNPL), Financial Anxiety, Perceived Debt Burden, Consumer Behaviour, Digital Credit
Abstract
The Indian healthcare industry is plagued with a major paradox; lots of medicine and other viable medical tools are being thrown away into the garbage bin yet there are still lots of the population, particularly the weaker economically crippled groups of the population, who are not using this precious resource. It leads to preventable contamination of the environment and the widening of health disparities because of this ineffectiveness. This paper will use MedCycle as a web site that can be used to fill this gap, which operates on AI. The MedCycle is an online service that provides household medicine donors of unwanted and expired medicines and serviceable medical equipment (wheelchairs, crutches and oxygen cylinders) with a verified NGO, pharmacies and needy patients. It is created on the MERN stack (MongoDB, Express.js, React.js, Node.js) and deployed in a cloud provider, which is AWS. First of all, it is unique because it has a validation module that is AI-driven and is implemented on TensorFlow and OpenCV to detect and identify images. The module is automated to check the validity of donations, by using Optical Character Recognition (OCR) to separate and confirm the expiry date and cross searching drug information using external APIs (MedsAPI), and possible tamperage. Besides that, smart matching system provides Google Maps API operation to pair donors and recipients based on the distance, specific needs and urgency. The site also offers a full cycle trace of everything that is being donated which increases accountability and credibility. MedCycle will transform the redistribution of medical supplies into a routine process and establish a healthcare circular economy, reduce medical waste, and make the required medical resources more accessible and sustainable
Keywords: Artificial Intelligence (AI), Medical Waste Management, Healthcare Circular Economy, Medicine Redistribution, Smart Donation Platform
Abstract
In the current times financial inclusion acts as a major component of India's strategy for fostering inclusive economic
development. In spite of the fact that recent regulatory changes have significantly broadened access to formal financial services,
having bank bank account or account ownership alone does not always indicate active participation in the financial system.
This study investigates the evolution of financial inclusion in India between 2011 and 2024 by differentiating between
functional usage and financial access of formal financial services. Using the world bank- Global Findex database, the study
formulates an Active Financial Inclusion (AFI) indicator— which can be defined as the difference between account ownership
or having a bank account and inactive accounts—to reflect effective utilization with financial services.
The findings reveal a three-phase progression in the area of financial inclusion: a period of fast paced financial access expansion
between the year of 2014 and 2017, a period of relative slowdown from 2017 to 2021, and rapid activation after 2021. Active
financial inclusion expanded at a compound annual growth rate of about 8%, or 38.95 percentage points, between 2014 and
2024. Regardless of a strong connection (0.88) between having a bank account or account ownership and active usage, the
world bank data demonstrate a persistent access-use gap during the early phases of financial inclusion expansion. In the post
2021 acceleration reflects the rising significance of digital payment infrastructure in the country, specifically the Unified
Payments Interface-UPI and the Direct Benefit Transfer system-DBT area. The study accentuates that financial inclusion should
be measured using indicators of active usage instead of merely account ownership or having a bank account.
Keywords: Financial inclusion, Active financial inclusion, Account ownership, Unified Payments Interface, Digital payments,
Global Findex
Abstract
The study proposes a conceptual framework that connects authentic leadership to CSR and stakeholder trust capital. It contends that real leadership enhances CSR legitimacy through increasing transparency, moral consistency, balanced processing and stakeholder involvement as well employee psychological empowerment. CSR thus manifests itself as an organizational instrument by which companies aggregate trust capital among stakeholders: the reserve of confidence, goodwill, collaboration and willingness to be vulnerable that employees, customers, investors, communities, suppliers and civil society hold. Using authentic leadership theory, stakeholder theory, organizational trust theory, social exchange theory and resource-based view as the backdrop for this study, we contend that CSR authenticity mediates the relationship between authentic leadership and stakeholder trust capital. Stakeholder participation and the quality of disclosure reinforce this relationship, while perceived hypocrisy weakens it. The paper synthesizes recent and seminal works, formulates six propositions, offers seven tables and also presents implications for practice and future line of research. The aggregate takeaway is the power of CSR communications to build trust on its own is negligible, instead credibility comes from leaders walking-the-walk through institutionalizing responsible practices, candid disclosures of both progress and limits within the organization, and treating stakeholders like partners in value creationed to apply longitudinal studies across multiple settings to identify new factors which
affect how organizations accept AI systems for their recruitment operations.
Keywords: Authentic leadership, Corporate Social Responsibility, CSR authenticity, Ctakeholder theory, Organizational trust, Stakeholder trust capitale
Volume 2 • Issue 2 • 2026
Abstract
The process of talent acquisition has undergone rapid transformation because of the impact and influence exercised by Artificial Intelligence (AI). Although organizations have started to accept, adopt and deploy AI tools, there are concerns regarding trustworthiness and its ability to treat people fairly. The existing research shows that AI systems deliver operational effectiveness, but for higher level of adoption, trust in AI systems when fairness becomes a priority. The development of trust through technological features and value appreciation through technology needs additional introspection because trust serves as an essential bridging factor. The research investigates these missing elements through empirical analysis of the perception of HR professionals pertaining to trust development which stems from their perception of usefulness and their organization's readiness and their belief in algorithmic fairness. The research combines Technology-Organization-Environment and Task-Technology-Fit frameworks to conduct quantitative analysis through Partial Least Squares-Structural Equation Modelling (PLS-SEM) using data from 357 purposefully chosen HR professionals. The research findings support all four proposed hypotheses which demonstrate that algorithmic fairness produces the most substantial effect on trust development through a path coefficient of 0.327 and organizational readiness produces an effect of 0.291 and perceived usefulness produces an effect of 0.254. The research shows that trust leads people to perceive higher value through a path coefficient of 0.557 which explains 51% of the differences between people. The model explains 54.1% of trust formation variance which proves its strong ability to describe the process. The research study las limitations because of cross-sectional design and selection of participants from specific industry sectors. Future research scholars need to apply longitudinal studies across multiple settings to identify new factors which affect how organizations accept AI systems for their recruitment operations.
Keywords: Artificial Intelligence, Talent Acquisition, Trust, Algorithmic Fairness, Perceived Value
Abstract
The concept of renewable energy is now one of the cornerstones of the India economic development strategy as the country tries to reconcile between the rapid rates of economic growth and environmental sustainability and climate commitments. This paper analyses the contribution of expansion of renewable energies in economic development of India, in terms of implications in terms of creation of employment opportunities, income growth, living standards, and macroeconomic stability. The paper compares this by using secondary sources of data on the growth of solar energy capacity and how it relates with the GDP dynamics over the year 2014-2025 by utilizing the data provided by the Ministry of New and Renewable Energy (MNRE), the Central Electricity Authority (CEA), and the international communities like IEA and IRENA. The results show that the installed renewable energy capacity was growing in India, with a level of about 76 GW in 2014 to more or less 254 GW in 2025, covering over 51 percent of the total installed capacity of non-fossil fuel-based capacity. Even though growth levels in the GDP were quite volatile, renewable energy growth continued to be high, which points to its structural and policy-based character. The industry has also become a major source of employment with well more than a million jobs created and the availability of energy, less dependence on fossil fuels and living standards have also improved. The paper concludes that renewable energy is not only a need to the environment but also strategic in terms of sustainable and inclusive economic growth in India.
Abstract
The study investigates the relationship between technology adoption factors and information quality with the symbolic adoption of a Human Resource Information System (HRIS). Data is collected from 415 HRIS end-users from Small and Medium Enterprises in India. The data were analyzed using Structural Equation Modeling (SEM). Findings revealed that performance expectancy, effort expectancy, social influence, and information quality have significantly related to HRIS symbolic adoption.
Further, the study examines the moderating effects of HRIS training between the technology adoption factors and HRIS Symbolic adoption. This study contributes to the HRIS literature by integrating the UTAUT model with information quality from De Lone and McLean& Information System success research.
The study has taken the small and medium organization’s employees and their symbolic adoption factors that help and trigger them to adopt such technology. The study reveals that HRIS training moderates the relationship between effort expectancy, social influence, and information quality with HRIS symbolic adoption.
Keywords: Human Resource Information System, Symbolic Adoption, UTAUT, Information Quality, Small and Medium Enterprises, Moderation, Training