The emergence of social media has completely changed the marketing landscape with social media influencers becoming increasingly potent in influencing consumer behaviour, especially among Generation Z (Gen Z), This study's main goal was to investigate how social media influencers affect Gen Z consumers' brand loyalty. Further, the research also compared the results for Delhi and Mumbai. The sample of the study consisted of 279 Gen Z consumers of Delhi and 328 Gen Z consumers of Mumbai, in total 607 respondents were included in the sample. The data was collected with the help of a structured questionnaire.

Placing great importance to environmental conservation and economic development, ecotourism is essential to sustainable tourism and has attracted considerable attention in academic research. This bibliometric study aims to provide a comprehensive overview of trends, insights, and growth of ecotourism literature in India. Ecotourism has gained world attention as a sustainable approach to tourism reconciled economic control and ecologic reservation. This study employed a bibliometric analysis to evaluate 310 ecotourism articles published between 2000 and 2025, sourced from the Scopus database. Biblioshiny and VOSviewer software were used to analyze the data. Some significant patterns and relationships were revealed in the domain by conducting a bibliographic coupling network analysis of the 323 texts and establishing a conceptual framework from keyword co-occurrence analysis.

In the face of ongoing global economic uncertainties, insurance companies are increasingly focused on ensuring the sustainability of their long-term operations. Within this context, the performance of insurance agents plays a critical role, not only influencing sales outcomes but also determining incentives and career progression—particularly during periods of economic downturn. This study investigates the relationship between psychological capital—comprising self-efficacy, hope, resilience, and optimism—and job performance among domestic insurance professionals. Drawing on data from 191 valid survey responses, the findings reveal that psychological capital exerts a significant positive influence on job performance. The results highlight the strategic importance of cultivating psychological capital to enhance sales effectiveness, promote employee adaptability, and support organizational goals. These insights are especially valuable for navigating volatile economic conditions, where resilience and optimism are key to sustaining individual and organizational performance.

In the article, features of development of modern digital technologies used to optimize the enterprise management are studied. The main measures for optimizing the enterprise management based on the use of the AI and Big Data have been formed. Based on the study of the theoretical basis, stages of implementing AI-based technologies into the enterprise management have been developed. The impact of digital technologies (outsourcing, e-commerce) on optimization of the enterprise's business processes has been determined. Urgency and necessity of implementing digital technologies at Ukrainian enterprises to ensure their competitiveness and optimize production processes has been substantiated. The algorithm for diagnosing effective implementation of digital tools in the enterprise management has been determined. Modern trends in the AI use in enterprise activities have been studied. Keywords: Artificial Intelligence, Big Data, E-Commerce, Outsourcing, Digital Marketing, Digital Logistics, Managerial Decision-Making, Management, Enterprise, Digitalization, Digital Technologies.

This study offers a comprehensive examination of the adherence to Corporate Social Responsibility (CSR) in the Power and Steel, Chemicals, and Fertilizers industries, with a specific emphasis on Public Sector Undertakings (PSUs). The research is qualitative and quantitative in nature for which the data from a span of eight years have been evaluated using t-tests and one-way ANOVA to examine the compliance of 12 distinct parameters related to CSR. It has been observed that with the exception of RECL and NFL, companies in both sectors have adhered to compulsory guidelines regarding CSR.

Unemployability of engineers in manufacturing is mainly due to the massification of education and is a larger problem to solve than unemployment to make India a developed country. Most of the unemployable engineers are produced by privately financed institutes and especially located in the rural areas. It's found that private engineering institutes in India are nearly 3,000 and have an annual intake capacity of one million undergrad engineering seats with an average enrollment of 50% capacity. All these institutes are approved by All India Council of Technical Education (AICTE)but only few accredited by National Board of accreditation (NBA) for quality. These institutes are classified as Tier 3 institutes and the subject matter in this paper. The average annual campus placements in Tier 3 institutes are around 100,000 and the remaining 400,000are a mix of unemployed, unemployable and dropped out students.

Despite increasing pressure on Ukrainian businesses to adopt sustainable practices aligned with European Union standards, empirical evidence on the causal economic impact of CSR-driven green branding remains scarce. This experimental study (Ukraine, 2024) investigated how corporate social responsibility (CSR) integrated into green branding strategies influences consumer preferences and perceived business efficiency. Using a between-subjects design, 512 nationally representative Ukrainian consumers were randomly exposed to either experimental stimuli featuring CSR initiatives (eco-packaging, carbon neutrality commitments, community environmental projects) or control stimuli with standard branding. Key metrics included brand attitude, trust, purchase intention, willingness-to-pay, perceived sales potential, operational efficiency, and CSR authenticity perceptions. Results demonstrated that CSR-green branding generated statistically significant advantages: consumer preferences increased by 38.3% in brand trust, 46.7% in purchase intention, and a 19.5% willingness-to-pay premium. Perceptions of economic efficiency rose by 35% for sales potential and 36.8% for operational efficiency, with a 7.3 percentage-point increase in projected market share. Crucially, CSR authenticity mediated 65-68% of the effect on purchasing behavior, and high-income consumers exhibited disproportionately stronger willingness-to-pay premiums.

This present research examines the processes of digitalization and the implementation of artificial intelligence (AI) technologies in the banking sector of the Russian Federation. It highlights the ongoing reduction in the number of physical branches of Russian commercial banks as evidence of an active phase of digital transformation in the industry. This transformation is accompanied by the continuous introduction of new digital banking products and services, as well as a growing trend toward the adoption of AI technologies. The research presents key cases of successful AI application, including the automation of customer service, intelligent credit scoring, voice assistants, fraud detection systems, risk management tools, and the personalization of financial services. Simultaneously, the study analyzes regulatory aspects related to digitalization and the use of AI in banking, discussing both international and national approaches to AI regulation and their impact on the development of digital financial services. The case analysis reveals the complexity of AI regulation challenges in Russia. The successful integration of AI in the banking sector depends largely on regulatory frameworks capable of minimizing risks while maximizing the benefits of AI, ensuring the protection of clients’ rights and interests. The findings may be of interest to researchers and professionals in banking and information technology, as well as stakeholders engaged in the study and regulation of AI technologies.

Introduction: Public health surveillance systems are essential for monitoring health trends, identifying threats, and enabling timely interventions. In Saudi Arabia, the Ministry of Health's surveillance system faces challenges that impact its efficiency and effectiveness. Aims: This study aims to evaluate the efficiency of the public health surveillance system, specifically focusing on data collection methodologies, the obstacles encountered in information gathering, and the resource challenges involved. The study also seeks to identify the relationships between various data collection methods and the challenges faced. Methods: The study utilized frequency analysis and chi-square tests to analyze the data collected through public health surveillance mechanisms. The data included responses regarding the methods of information collection, obstacles faced, software used, and adequacy of training and resources. Results: The findings indicate a statistically significant association between data collection methods and obstacles encountered. Specifically, monthly reports were associated with a higher frequency of obstacles compared to other methods, such as quarterly reporting. Key issues identified include administrative burdens, inadequate training, and limited use of sophisticated software tools. Approximately 66.7% of the expected counts in the chi-square analysis were less than 5, indicating potential limitations in data reliability. Conclusion: The evaluation of the public health surveillance system reveals significant barriers related to data collection methods and resource allocation. To enhance the system's efficiency, policy interventions are recommended, including optimizing data collection schedules, enhancing training programs, and improving the allocation of resources and tools.

Modern conditions for development of socio-economic systems of any level cannot be imagined without digitalization. Digital technologies play an important role in competitiveness of regional economic systems (RES), improving quality of life of the population. At the same time, the trend of technoglobalism is increasingly failing at the global level, opening up new opportunities for development for regions. The purpose of the article is to substantiate theoretical and methodological principles of the digitalization role in development of RES in the technoglobalism context using the systemic approach. In the article, the methodological approach to assessing the digitalization role in the development of RES in the technoglobalism context is proposed. This approach involves calculating the integral development index of RES in the conditions of technoglobalism by multiplicative convolution, which consists of five subindices, calculated by nineteen indices and representing a system of tuples. Calculation of subindices using the weighted geometric mean taking into account the weights of pairwise numerical comparisons of the corresponding rows of the matrix.

The term gender bias is typically used to describe the differential treatment or evaluation of persons depending on gender, rather than actual ability, credentials or performance, in a particular work place environment. The problem, however, is historically and culturally embedded, operating terms that sustain assumptions about what men and women can or cannot do in business contexts. One is that women are more emotionally and caring than men traits; traits that are assumed to be not contained in leaders. On the other side, qualities of man are linked with contingent characteristics like being aggressive or domineering, which have to do with power and authority.

This study investigates whether enterprise participation in Taiwan’s government-subsidized “Enterprise Human Resources Enhancement Program” (EHREP) enhances organizational performance. Focusing on firms that participated in both 2023 and 2024, data were collected from the official system maintained by the Workforce Development Agency. A total of 66 enterprises were analyzed using Data Envelopment Analysis (DEA), with input variables including total training subsidy, hours, and sessions, and output variables comprising average annual profit per employee and the number of professional certifications obtained. Findings reveal that the average technical efficiency was only 0.239, indicating a widespread inability to fully translate training investment into measurable outcomes. Enterprises with TTQS ratings of Bronze or above exhibited significantly higher efficiency, particularly within the service sector. Multiple regression analysis showed that while total training hours and subsidy amount had moderate predictive power for certification outcomes, they did not significantly influence profitability.

This review paper explores the transformative phenomenon of musipreneurship, which occurs at the intersection of music creation and entrepreneurial innovation, to critically evaluate the changing dynamics in the global music industry. Based on an extensive review of secondary data and recent theoretical debates, the research investigates the key factors driving this change, including digitalization, shifts in consumer behaviour, and the decentralization of music creation and distribution. It also looks at structural and functional barriers that the musipreneurs face, such as revenue imbalances, algorithmic gatekeeping, psychological fatigue, system inequities due to gender and race. Other emerging trends that emerge in the review and are put into perspective include incorporating blockchain technologies, using artificial intelligence, and new input modes of participatory platform governance. With this synthesis, the paper provides more nuanced evidence on what musipreneurship means as an opportunity within the context of cultural work, creative independence, and sustainable career strategies in contemporary music economics, contributing to the broader discussion of innovative entrepreneurship and digitalized cultural production.

Purpose: The present study examines the impact of work-from-home with work-family conflict (WFC) and family-work conflict (FWC) due to the Covid-19 Pandemic. This research also examines the moderating effect of marital status and types of family members staying at home between the proposed relationships. Design/methodology/approach- A total of 315 responses were collected from theIndian women respondents through a questionnaire distributed online. The hierarchical regression analysis has been used. Findings - The resultsrevealed that work-from-home hasnegative relationshipwith both types of conflictsi.e.WFC and FWC. It has been found that types of family members and marital status have affected their level of conflict between work and family roles due to mandatorily work-from home during pandemic.Women who were working from home were more likely to face family interference with the work-life (FWC) as compared to work interference with the family (WFC).