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This study investigates consumer experiences towards electric cars in the Kalaburagi District of Karnataka. With growing environmental concerns and gradual technological adoption in India’s automotive sector, electric vehicles (EVs) are gaining prominence. The purpose of this research is to analyze the factors contributing to consumer satisfaction, preferences, barriers, and future purchase intentions. A structured questionnaire was administered to 50 respondents residing in Kalaburagi who have either purchased or considered purchasing an electric car. Primary variables included perceived performance, charging infrastructure availability, cost-benefit perception, and environmental consciousness. Using regression analysis, the study examined the relationships between these variables and overall consumer experience.
The findings suggest that charging infrastructure availability and cost-benefit perception significantly influence consumer experience, while perceived performance and environmental consciousness contribute moderately. Regression analysis revealed that the independent variables accounted for a substantial portion of the variance in consumer experience (Adjusted R² = 0.62). Further, encouraging trends emerged regarding future purchase intentions and positive word-of-mouth recommendations.
This research contributes to understanding the dynamics of electric car adoption in emerging markets, particularly in semi-urban districts like Kalaburagi. The study highlights that enhancing supportive infrastructure and articulating economic benefits can accelerate consumer acceptance. The paper concludes with practical recommendations for policymakers and automobile firms to strengthen EV adoption at the grassroots level.

This article considers the problem of developing and implementing strategies for promoting advertising campaigns in the digital environment under conditionsThe efficacy of faculty members in educational institutions is significantly influenced by their emotional intelligence (EI) and conflict resolution skills. With an emphasis on the demographic characteristics of faculty members, this study investigates the connection between emotional intelligence and dispute resolution. Emotional intelligence, which involves maintaining a balanced emotional state, is particularly important for teachers, who interact with students daily and must manage both their own emotions and those of others. Conflict, which can arise between teachers, students, and management, if unresolved, can negatively impact organizational productivity and atmosphere. This study’s main goal is to investigate faculty members’ EI and conflict resolution techniques, with an emphasis on how various demographic characteristics—such as gender, age, marital status, and academic background—affect these variables. A questionnaire was developed to collect primary data from 200 faculty members using judgment sampling, supplemented by secondary data from various sources. The study tests five hypotheses, addressing the differences in emotional intelligence and conflict resolution across gender, age, marital status, and academic experience. In order to create a more peaceful and effective learning environment, the research’s conclusions are intended to guide for enhancement teacher development and conflict resolution techniques in classrooms.

This article considers the problem of developing and implementing strategies for promoting advertising campaigns in the digital environment under conditions of audience fragmentation and the growth of user data volumes. The role of a comprehensive analysis of target audience characteristics in shaping effective communication solutions is analyzed, including segmentation, selection of interaction channels, targeting settings, and message personalization. The impact of integrating analytical and creative tools on content relevance, audience engagement level, and the effectiveness of information campaigns is investigated. Particular attention is paid to the customization of advertising materials as a mechanism for transforming analytical data on consumer behavior and motivation into adapted communication strategies. It is shown that a systematic approach to analyzing target audience characteristics makes it possible to increase the effectiveness of promotion and to form sustainable trust in a brand in the digital environment.

The article examines the digital transformation of procurement activities as a systemic factor in enhancing the investment efficiency of a construction enterprise. The evolution of the procurement function from basic automation to the integration of intelligent analytical and digital platforms that ensure the reduction of transaction costs, increased cost transparency and improved risk controllability is analyzed. The strategic role of integrated IT systems, BI tools and artificial intelligence technologies in the formation of resilient supply chains and the improvement of project implementation predictability is emphasized. The article substantiates the impact of the digital maturity of procurement on the investment attractiveness of an enterprise, the level of corporate governance and compliance with ESG criteria. It is concluded that the digitalization of the supply function becomes a key condition for the sustainable development of the construction business under conditions of high market uncertainty.

The role of investment advisors has become increasingly significant in guiding retail investors through complex financial markets. This study investigates the influence of investment advisors on the investment decisions of retail investors in Bengaluru, a growing financial hub in India. Using a combination of primary data (structured questionnaires from 200 retail investors) and secondary data (existing literature and regulatory reports), the study evaluates how advisory services impact investor behavior, risk appetite, portfolio choices, and financial literacy. Findings indicate that trust, communication quality, and risk profiling are key determinants of investors’ willingness to act upon advisor recommendations and to endorse them to peers. Demographic variables such as age and income do not significantly moderate recommendation behavior. The study offers actionable insights for advisors, investors, and regulators to enhance advisory efficacy, investor protection, and financial literacy in urban India.

The external business environment, particularly in the automotive market, is changing rapidly under the influence of the continuous development of new technologies. As key players in market processes, vehicle manufacturers and sellers are forced to respond quickly to global challenges. Accordingly, their strategies focus on actively introducing innovations, developing technologically advanced and environmentally friendly products, and adapting to specific regional conditions.
The automotive market is one of the most competitive among all industries, so market participants constantly analyze trends of possible changes in this area. It has been established that the global automotive market is characterized by constant fluctuations in sales and production volumes, which depend on the economic situation, changes in consumer demand, and other factors.
Global car sales volumes for the period from 2015 to 2022 were analyzed, revealing an overall downward trend. Sales dynamics in different regions of the world were uneven: the largest decline was recorded in North America, and the smallest in Western Europe.
Based on the available data, a forecast of car sales until 2030 was made. The forecast indicates a likely stagnation of the global automotive market due to market saturation, changing consumer preferences, and the general economic situation in the world.
An analysis of the automotive market was conducted, taking into account consumer preferences, which made it possible to identify the most popular Toyota models in terms of new car sales on the global market. Recently, there has been a trend towards consumer demand shifting towards electric vehicles, which are attractive due to their environmental friendliness, cost-effectiveness and innovative technologies, which set them apart from traditional cars with internal combustion engines.
An analysis of the segments of the global automotive market by leading manufacturers was also carried out, which allowed us to conclude that Toyota is one of the most powerful car manufacturers in the world.

This paper examines the structure, performance, and challenges of the cooperative banking system in Purba Medinipur, a predominantly agrarian and coastal district in West Bengal. Drawing upon secondary data from NABARD’s ‘Potential Linked Plan’ (PLPs), State Focus Papers, and official cooperative bank records, the study maps the district’s three-tier cooperative credit architecture—comprising Primary Agricultural Credit Societies (PACS), District Central Cooperative Banks (DCCBs), and the State Cooperative Bank. The analysis reveals that Purba Medinipur has a dense institutional network, including 763 PACS, 54 DCCB branches, and a significant presence of commercial and regional rural banks. Cooperative institutions demonstrate superior performance in Annual Credit Plan (ACP) achievement (89.26%) and recovery rates (88.92%) compared to commercial banks and RRBs, highlighting their pivotal role in rural credit delivery. However, persistent challenges such as low overall Credit–Deposit (CD) ratio (44%), governance deficiencies, and limited technological adoption constrain their full potential. The paper emphasizes the need for reforms in professional management, digitalisation of PACS, diversification into allied-sector financing, and stronger linkages with commercial banks and fintech platforms. Strengthening cooperatives in these dimensions is essential for enhancing rural financial inclusion and sustainable development in Purba Medinipur.

In an era of pervasive digital transformation and deepening sustainability imperatives, organisations face the dual challenge of renewing their social fabric namely, stakeholder collaboration, trust networks and shared innovation ecosystems while leveraging the power of artificial intelligence (AI). This paper examines how AI-driven collaborative innovation can serve as a catalyst for sustainable business revival by reweaving social capital, fostering cross-organisational networks, and enabling socially responsible, value-creating innovations. Drawing on a systematic review of extant literature on AI, collaborative innovation, sustainable business models and open innovation ecosystems that develops an integrative theoretical framework linking AI-enabled capabilities, social-network renewal, stakeholder co-creation, and sustainability outcomes from selected firms. We propose a mixed-methods research design of collaborating qualitative interview and secondary data. The findings are expected to reveal how AI can enhance knowledge integration, network trust, and shared value creation and the key moderating factors (such as organisational culture, governance, and stakeholder engagement) and the boundary conditions. The study contributes to theory by illuminating the socio-technical mechanisms of AI-enabled collaborative innovation for sustainable business and to practice by offering guidelines for managers and policymakers to foster networked, sustainable business renewal

This study examines how AI-driven behavioural analytics and personalization shape consumer engagement and purchase decisions in Q-commerce apps like Swiggy Instamart, Zepto, and Blinkit. Based on responses from 100 users (ages 15–25), statistical tests reveal that gender, age, and education significantly influence how consumers perceive and respond to AI recommendations. The findings show that AI enhances satisfaction, engagement, and decision-making, but its impact varies across demographic groups. The study highlights the need for transparent and user-focused AI systems to strengthen trust and loyalty in Q-commerce platforms.

This study investigates the financial behaviour, saving patterns, and decision-making practices of working women in the context of income management and financial security. The primary objective of this study is to examine how working women allocate their income, manage expenditures, save for future needs, and make financial decisions related to security and well-being. Primary data were collected through a structured questionnaire administered to working women living in Kerala across different occupational and income groups. Descriptive statistics, correlation analysis, and inferential techniques were employed to analyze key dimensions such as income utilization, budgeting behaviour, saving regularity, investment awareness, and financial planning. The results indicate that although most respondents recognize the importance of saving and financial planning, their actual saving behaviour is often limited by rising living costs, family responsibilities, and lifestyle-related expenditures. A significant association was observed between financial literacy, budgeting discipline, and higher saving levels, suggesting that informed financial decision-making plays a crucial role in enhancing financial security.
The findings further reveal that working women who engage in systematic income management and long-term planning experience lower financial stress and greater confidence in their financial future. The study underscores the importance of promoting financial education, workplace financial wellness programs, and supportive policy measures to strengthen the financial resilience of working women. By providing empirical insights into women’s financial behaviour and saving practices, this research contributes to the broader discourse on financial inclusion and sustainable economic well-being