Management Education in India has emerged as a successful programme in producing professional graduates for business organizations. In the present scenario, corporate requirements and expectations are changing due to constant change in business environment. Consistent with advanced strategic interventions, corporate is not getting the expected output from management institutions and the graduates are facing tough placement challenges. This state of incongruity between demand and supply requires a structured and comprehensive understanding about quality of management education and problems associated with it. The present study explored the dimensions related to quality of management education and proposed 'Management-Education-Quality-Scale' (MEQAS) with reference to Indian Higher Education Management Institutions. Further, the relationships between the identified dimensions were explored and a structural model of management education quality was developed with the help of Partial Least Square Method highlighting the effect of overall quality on education outcome.

This study investigates how sustainable social media influencers (SSMIs) shape Generation Z's electric vehicle (EV) buying behaviour through the sequential mediating roles of environmental knowledge and environmental attitudes. Using a quantitative approach, data were collected from 300 Gen Z respondents in New Delhi, India, and analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM). The results indicate that SSMIs significantly enhance environmental knowledge, which positively influences environmental attitudes, perceived environmental benefits, and EV purchase intentions. The findings confirm the presence of sequential mediation, highlighting the critical role of cognitive and attitudinal mechanisms in sustainable consumption decisions. This study contributes to sustainability marketing literature by integrating influencer-driven digital communication with pro-environmental decision-making and offers practical insights for policymakers and EVmarketers. Keywords: Environmental Attitudes; Environmental Knowledge; Purchase Intention; Electric Vehicles; PLS-SEM. Introduction The development of electric vehicles (EVs) is one of the major global challenges we face in the battle against climate change and reducing carbon footprint (Aderibigbe et al., 2023; Bakhtyar et al., 2023). The move towards the use of EVs reduces the dependence on fossil fuels; this also has a positive impact on the environment (Hossain et al., 2024). Although there is a growing awareness of the benefits of EVs and many policies that support the increased use of EVs, in many regions of the world, the acceptance of EVs has not been very strong. EVs are considered a more environmentally friendly alternative to petrol and diesel vehicles and are expected, in part, to help reduce the levels of pollution caused by carbon emissions from vehicles. According to Ahmad and Zhang (2020), carbon emissions not only contribute significantly to climate change but also have negative effects on the environment, people's health, and the economy

The study aims to conduct a systematic literature review of research studies in the domain of showrooming focused on identifying major antecedents of showrooming behavior. The literature search is carried out using Scopus database and further articles are screened and analyzed using PRISMA framework. The results of the study give information about production trend, significant contributors, geographical coverage, theoretical framework adopted and methodologies used. The study highlights that hedonic motivation and lower prices in online stores are top most reasons for the consumers to engage in showrooming. The implications of this study extend to offline retailers. The retailers can use the results of this research to combat instances of showrooming in the offline stores in order to prevent themselves from the negative outcomes of showrooming.

Non-performing assets (NPAs) are a key measure of asset quality, credit risk and banking stability. In India, NPAs rose sharply in the 2010s, especially in public sector banks (PSBs), before declining to multidecade lows in the mid-2020s after regulatory and legislative reforms. According to the Reserve Bank of India (RBI) and the Ministry of Finance, the gross non-performing asset (GNPA) ratio of scheduled commercial banks (SCBs) fell to about 2.3% by March 2025, while the GNPA ratio of PSBs as a group declined from 9.11% in March 2021 to 2.58% in March 2025. This paper provides a comparative analysis of NPAs in two public sector banks—State Bank of India (SBI) and Punjab National Bank (PNB)—and two private sector banks—HDFC Bank and ICICI Bank—from 2019–2020 to 2023–2024, with additional 2025 systemlevel and bank-level observations where available. The study is based exclusively on secondary data drawn from RBI publications, Government of India releases, bank annual reports and financial databases. It examines trends in GNPA and net NPA (NNPA) ratios, contrasts the NPA behaviour of PSBs and private sector banks (PVBs) and links these patterns to insights from recent academic literature. The analysis shows a strong reduction in GNPA ratios in all four banks, with particularly steep declines in PNB and ICICI Bank, which started the period with high NPA levels. SBI's GNPA ratio fell from around 5.0% to 1.82%, while PNB's dropped from 14.0% to 3.95% between FY2019–20 and FY2023–24. HDFC Bank maintained GNPA around 1–1.3% throughout, and ICICI Bank's GNPA fell from 8.0% to 1.73%. The findings confirm that PSBs historically exhibited higher NPAs, but reforms and active resolution have significantly narrowed the gap with PVBs by 2024–25. The paper concludes with policy and managerial implications for sustaining low NPAs.

Purpose: This study systematically examines inter-district disparities in social infrastructure across Rajasthan's 33 districts and their causal relationship with rural development outcomes. Design/Methodology: Employing PCA, the study constructs a composite Infrastructure Development Index (IFI) across Social Infrastructure (education, healthcare, sanitation) and Economic Infrastructure (roads, irrigation, banking), validated against PCNDDP and poverty indices. Findings: Jhunjhunu, Sikar, and Ganganagar consistently outperform all districts. Barmer, Jaisalmer, and Sirohi exhibit the most acute deficiencies. A robust positive IFI-PCNDDP correlation and inverse poverty association confirm infrastructure as a primary lever of rural prosperity. Originality/value: This study contributes a replicable district-level comparative framework integrating PCA with development theory, offering policymakers a diagnostic tool for equity-focused infrastructure investment in India's largest state. Keywords: Rural Development; Social Infrastructure; Economic Growth; PCA; Infrastructure Development Index; Rajasthan; Regional Disparities; Human Capital; Poverty Alleviation

The article studies the features of the use of artificial intelligence (AI) technologies as a tool for innovative development of enterprises in the region. The need to intensify the introduction of AI technologies to increase innovation activity, digital maturity and competitiveness of enterprises has been substantiated. A methodical approach to a comprehensive assessment of the readiness of enterprises to use AI technologies has been proposed, which provides for a consistent calculation of a system of statistical, analytical and integral indicators. A research algorithm has been formed, which includes an assessment of the digitalization level of business processes, the use of AI technologies, the digital intensity of innovation activity, its effectiveness and economic efficiency of digital transformation, followed by the determination of an integral index of readiness of enterprises to use AI technologies. The proposed methodology was tested based on the analysis of statistical data for 2021–2025. confirmed the steady growth of indicators of digital transformation, the use of AI technologies and innovative activity of enterprises, which indicates the positive impact of AI solutions on increasing the efficiency of innovative development of enterprises in the region. Keywords: Artificial Intelligence, Innovative Development, Enterprise, Region, Digitalization, Digital Technologies, Information Technologies, Transformation, Financial Resources, Financial Capacity.

The study is aimed at substantiating and evaluating the transformation of the mechanism of functioning of business entities under the impact of digitalization and the changing security environment. The methodological basis is a system and comparative approaches, statistical generalization, min-max normalization, integral assessment, weighting and ranking. The empirical base is formed based on the data of the Czech Republic, Hungary, Poland, Romania and Bulgaria, which are comparable in terms of institutional conditions of within the EU functioning, at the same time differ in the level of digital maturity of enterprises. For the comprehensive characterization of transformation processes, the indicators are grouped into three interrelated areas, namely: the level of digitalization, personnel and organizational transformation, and the security aspect of digitalization. The generalization of these components was carried out using the Comprehensive Index of Digital Transformation of Business Entities (CIDT). The main results of the study showed a significant differentiation of countries in terms of the level of digital transformation of the functioning mechanism of enterprises. The highest result was obtained by the Czech Republic – CIDT=0.780, which characterizes the highest and most balanced level of digital transformation. Hungary (0.520) and Poland (0.465) formed a group with an average level, but demonstrated different internal profiles: Hungary is characterized by high human and organizational capacity, while Poland is defined as a key constraint by the insufficient level of the security component.

The current research paper presents the most important ethical issues of the Artificial Intelligence in the field of modern marketing, specifically in the context of the promotion of unfounded consumerism. The primary goal is to suggest a new model of the Ethical AI Marketing through the incorporation of major concepts of the Indian Knowledge System. In particular, the principles of Ahimsa or non-violence/non-manipulation of consumer psychology and Aparigraha, which means conscious consumption/minimalism, are examined to be applied to the marketing algorithms. The research methodology is theoretical, as it brings together both classical IKS philosophy with modern researches on the AI in marketing and consumer behaviour. It also condemns the existing models of data-driven innovations, which put consumer welfare and environmental sustainability in the second place after clicks and purchases. The thesis of the paper holds that the IKS-enhanced AI model will transform the marketing objectives based on the ideas of maximizing consumption to the comprehension of whole well-being. The suggested framework presents a long-term solution according to which the brands will be able to regain the consumer trust and succeed in the environment in which the ethical and mindful practices will become the primary priorities.

This study investigates the factors that attract foreign investment in Ukrainian enterprises during the time of post-war reconstruction. The interaction of institutional, financial, and regulatory factors has only been addressed to a limited extent, despite the fact that there has been a substantial amount of academic research conducted on the factors that determine foreign direct investment in the recovery process. Through the identification, evaluation, and prioritisation of investment attraction strategies that are particular to Ukraine's institutional and geopolitical restrictions, this research fills in this gap in knowledge. The study uses quarterly time series data over 2013-2024 and employed (ARDL) bounds test for cointegration analysis. Similarly, another method of threshold regression for non-linear moderation analysis along with the Granger-Causality test on selected variables. The empirical results clearly reveal that the quality of the institutions promotes foreign direct investment (FDI). While, the infrastructure comes in second. The influence of investment mechanisms is limited and below the threshold for institution. This indicates that under certain conditions, institutional constraints have a substantial impact on the effectiveness of the mechanisms.

Purpose: The rapid expansion of financial technology (FinTech) has transformed financial services, creating new opportunities for innovation, financial inclusion, and economic growth while simultaneously posing regulatory and supervisory challenges. This study evaluates India's legal and institutional readiness for a FinTech-enabled Regulatory Sandbox (FRS) and examines its potential contribution to financial inclusion and Sustainable Development Goal 9 (Industry, Innovation, and Infrastructure). Design/Methodology/Approach: The study adopts a qualitative doctrinal legal research methodology based on secondary data. It analyzes statutory frameworks, regulatory policies, RBI guidelines, committee reports, and international standards. A comparative assessment of regulatory sandbox models in the United Kingdom, Singapore, Australia, and Baltic jurisdictions is undertaken using law-and- economics and law-and-technology perspectives.

Social media has become a pivotal platform for marketing, significantly shaping consumer behavior and purchase intentions. As businesses increasingly rely on social media to engage withpotential customers, understanding how different age groups respond to social media marketing is crucial for optimizing advertising strategies. The major objective of this research was to study the impact of social media marketing on consumer purchase intentions. To serve the objective causal research design was used and a sample of 632 social media users was selected. The data was collected with the help of Google docs and the same was analysed by using SPSS. The results indicated that facebook, Instagram and YouTube are most popular social media platforms which are used by consumers of all age groups. The consumers of younger ages prefer to see entertaining content on social media while on the other hand older age group consumers get engaged with informational content. It was found that that there is a significant influence of social media marketing on consumer purchase intentions and the level of influence differ with respect to the age groups. Key Words: Social media marketing, Consumer purchase intention, Social media influence

As environmental concerns continue to rise, understanding the factors that influence consumers' choices is crucial for promoting more sustainable consumption patterns. Despite growing awareness of environmental issues, consumers often face significant barriers, such as cost, convenience, and availability, that hinder the adoption of ecofriendly products and services. The purpose of this paper is to study the role of environmental awareness in shaping eco-friendlypurchase decisions. Furthermore, the study also examines the drivers and barriers of sustainable consumption. The research has considered 557 users of eco-friendly products, which were selected by using the snowball sampling method. The data were collected using a structured questionnaire and subsequently examined using SPSS to examine factors affecting sustainable consumption. The results indicated that respondents were significantly aware of environmental issues and their awareness was different with respect to their demographic profile. Health benefits, social influence and product quality and sustainability are the motivating factors to purchase eco-friendly products and the high price of eco-friendly products is the most prominent barrier in purchasing these products, followed by the convenience of nonsustainable alternatives and the lack of availability in local stores. Furthermore, the findings indicate that environmental awareness plays a significant role in shaping consumers' eco-friendly purchasing decisions. The study highlights the importance of strengthening environmental awareness while addressing economic, accessibility, and convenience-related barriers to promote sustainable consumption. Keywords: Consumer choice, Environmental awareness, Eco-friendly products, Sustainable consumption