Investor's investment behavior is susceptible to contextual, environmental and technology driven influences. Investing activity across apps identifies as novel area of research as mobile phone embedded apps enact and act the bounding of user's rationality and seemingly lead the user to investing in a specific portfolio or collection of stocks. Product innovation across neo broker apps and respective adoption of new methods of making retail investor aware and literature about the stock market, have been observed as shaping human cognition in multiple ways.AI enabled app platforms leverage the reality that retail amateur investors has limited access to information regarding environment and seeks to acquire information through immediate interaction with their dynamically changing environment. In view of retail investor's limited computational power, resource limitations and uni-directed pattern of learning, the apps seem to bound rationality in multiple ways. The research hence leverages two aspects of app based bounded rationality: 'product innovation' and 'investor education' in understanding dynamics of 'investment behavior' under the moderating role of 'digital financial literacy'. The study relied on self-devised measures of phenomenon across 110 respondents from NCR. The research leveraged extractive factor analysis and structural equation modeling to validate the research hypothesis and observed statistically significant impact on the outcomes and significant impact of app induced bounded rationality.

Purpose: This study investigates the effects of high-performance work systems on job performance in the context of the e-tailing industry in India. While HPWS's positive impact on job performance has been widely discussed and established, the study investigates the impact in current times marked by technological interventions impacting work structures. These have brought in challenges for HR personnel to keep employees motivated and satisfied to achieve enhanced organizational productivity. With ecommerce expanding exponentially and offering employment to many, it becomes vital for the organizations within the vertical to analyze employee motivation, job satisfaction through HPWS. This research explores this black-box investigating transformation in job performance, quality of life, motivation, job satisfaction, and organizational commitment in current times with the employee-centric approach.

This study examines the relationship between investments in cryptocurrencies and macroeconomic factors in five regions in India - Delhi NCR, Bengaluru, Mumbai, Pune, and Rajasthan — using Structural Equation Modeling (SEM). A mixed-methods approach was employed, in which primary data were collected from 214 cryptocurrency investors to understand their perceptions of investing in cryptocurrencies among individuals, along with secondary data from national economic standards. Based on the study, it is established that adopting virtual currencies within the financial systems opened diverse economic opportunities in India. The findings of this paper will provide policymakers, investors, and academic institutions with information on how these new-age money-like instruments operate within the context of conventional historical economic structures while highlighting the possibilities for a paradigm shift in different aspects of this area.

In current conditions of global development, digitalization is a key factor in innovative development, strengthening competitiveness of regional economic systems. Given rapid pace of digital transformation, it is especially relevant to study the potential of regions in this area. The article is aimed at substantiating the methodological approach to assessing the impact of artificial intelligence and digitalization on development of RSES's in the globalization context. Justification of methodological foundations of the methodological approach is based on considering the principles as follows: consistency, reliability, coherence, sufficiency, accuracy and hierarchy. The methodical approach involves the definition of evaluation indices and their constituent subindices as part of the integral index based on the weighted geometric mean and determining their relative value using the matrix of pairwise comparisons in accordance with the system of their grouping. The integral index is proposed to be determined using multiplicative and additive convolutions. The impact of the AI and digitalization on the integral index and transformation of the sub-index of the AI and digitalization is calculated based on the relative magnitude of dynamics. The resulting calculations can serve as analytical basis for managers on the introduction of the AI and digitalization at the regional management level.

This study examines the role of artificial intelligence (AI) in transforming digital advertising strategies within higher education institutions (HEIs) and its impact on student engagement. Drawing on a survey of 400 students from diverse demographic, disciplinary, and institutional backgrounds in India, the research evaluates the visibility, reach, and influence of AI-enabled campaigns. Descriptive and inferential analyses—including t-tests, ANOVA, and regression—were employed to assess patterns of engagement across behavioral, cognitive, and emotional dimensions. Findings reveal that nearly half of students reported exposure to AI-driven advertisements, with emails, chatbots, and Google applications identified as the most effective platforms. Student engagement levels were consistent across course levels and academic streams, confirming the universal applicability of AI-driven strategies. While engagement outcomes were multidimensional, they were not significantly predicted by ethical or outcome-based perceptions, suggesting that contextual and institutional factors remain central. The study contributes to both theory and practice by offering empirical evidence on AI applications in educational marketing, highlighting the primacy of personalized, interactive platforms in enhancing engagement, and underscoring the need for institutions to balance technological innovation with inclusivity and transparency.

Since the Asian financial crisis and the corporate scandals concerning Enron and WorldCom, financial crises and corporate issues have repeatedly highlighted. This has turned global attention to corporate governance mechanisms once more, making it a topic of ongoing concern worldwide. This study selected publicly listed high-tech companies that participated in corporate governance evaluations as the research sample. The findings indicate that corporate governance has a significant negative impact on financial crises. Furthermore, corporate governance increases the level of information disclosure within the company. Additionally, corporate governance exhibits a significant negative correlation with earnings management. The study also revealed that financial crises have a significant positive impact on earnings management. In contrast, the level of information disclosure negatively impacts both earnings management and financial crises. In summary, this study highlights the pivotal role of corporate governance in improving transparency, reducing financial crises, and curbing earnings management.

Objectives – The objectives of this paper are to explore the research in the area of Private Equity and Sustainability under the following two broad perspectives: Authors who are profusely contributing to this field of study The areas or the themes which are connected to the topic under study Design – To achieve the above-mentioned objectives bibliometric analysis is carried out with the help of VOSviewer software. The Web of Science database is utilized for the study with the search words Private Equity and Sustainability. Model –To know who are the authors who are most cited, co-citation analysis using cited authors as the unit of analysis is employed. Co- occurrences analysis is used to know the topics around which most of the research works are concentrated. Result and conclusion– Ostrom et.al, Cumming et.al, Ostrom and Elinor, are the most cited authors with 50, 23 and 22 citations respectively. Sustainability, Equity and Sustainable development are the words which co-occurred with other words in the analysis.

In the realm of retail, the significance of service quality in shaping customer satisfaction and loyalty cannot be overstated. The quality of service provided by retail outlets has a direct impact on customer perceptions, behaviours, and ultimately, the success of the business. Understanding the role of service quality in influencing customer satisfaction is crucial for retailers seeking to differentiate themselves in a competitive market environment. The prime aim of this paper is to analyze and compare the service quality and customer satisfaction of unorganized and organized retail outlets. The proposed study is aimed to study and compare the service quality of organized and unorganized retail outlets of Kota, Rajasthan so descriptive research design has been used to serve the objective. To serve the objective Parasuraman's SERVQUAL Model was used and the questionnaire was designed accordingly. To select the sample purposive sampling method has been used. The data was collected from the 391 customers of unorganized and organized retail outlets in Kota, Rajasthan. Data was analyzed by using SPSS software. The results indicated that the service quality of unorganized retail stores is lacking in all five dimensions.Also, the unorganized retail outlets are far lacking in reliability. However, by putting in little effort they can do good in the assurance dimension. In the case of organized retail outlets, the stores are doing well on the tangibles but they are lagging on reliability, responsiveness, assurance and empathy dimensions. The comparison of service quality of unorganized and organized retail outlets depicted that the service quality of organized retail stores is better than the service quality of unorganized retail stores. The customers of organized and unorganized retail stores indicated dissatisfaction but the customers of unorganized customers were more dissatisfied than the customers of organized retail outlets.

This study examines the effects of service quality and service innovation on tourists' revisit intentions, focusing on hotels in Kenting, Taiwan. With travelers increasingly valuing personalized experiences and innovative services, quality management and innovation have become key competitive strategies. Using the PZB model, a survey of 303 valid responses was analyzed through EFA, CFA, and SEM. Results show that both service quality and service innovation have significant positive impacts on revisit intention, with service innovation partially mediating the relationship. Key drivers include staff interaction, facility upkeep, smart technology, and local cultural experiences. The study recommends implementing smart service facilities, enhancing personalized offerings, and fostering an innovation-oriented culture to strengthen customer loyalty and sustainable growth.

A research examines how Roberta-based Generative AI applies its technology to analyze e-commerce customer sentiments. A research project evaluated sentiment analysis operations for an e-commerce website through studies based on Roberta-based Generative AI and established sentiment analysis frameworks. Robert-Based Generative AI achieves superior performance than traditional methods since it reaches 91% accuracy while completing 800 reviews within 12 minutes compared to the 84% accuracy in 28 minutes required by traditional methods. The conducted research proves that Roberta-based Generative AI offers promising features for e-commerce sentiment analysis that leads to more precise and speedier review and sentiment monitoring. By employing Generative AI models such as Roberta, organizations can analyze complex language patterns alongside subtle elements related to sarcasm, irony and figurative language better than standard analysis techniques. A mandatory research creates a Roberta-based Generative AI model for e-commerce sentiment analysis that draws benefits from Generative AI to process complex linguistic expressions. The sentiment scores of Amazon product reviews match RoBERTa model's analysis according to Behavioral Economics principles through Electronic Word Of Mouth and Consumer Emotion Reaction. The approach will aid e- commerce businesses to establish their strategic course and marketing protocols for precise review emotional recognition.

Students who take part in international educational courses have better global mindsets, increased sensitivity, and higher cross-cultural competencies. Studying abroad enables students to increase their academic output, develop their global abilities, and obtain real-world experience in a different setting & social structure. This study aims to determine the elements that impact the students' decisions to study abroad and measures the degree of perceived pleasure among Punjabi (Indian) students who aspire to travel abroad. Five hundred and ninety- three student surveys who want to study abroad have been taken into consideration. To accomplish the goals of this study, descriptives, factor analysis, and multiple regression analytic approaches have been employed. The component analysis identifies five factors: financial concerns, reliable thinking & advice, perceived satisfaction from travelling abroad, attractions at foreign countries, and barriers to travelling abroad. For the sake of conducting a regression analysis, four of these factors—attractions at foreign countries, obstacles to travelling abroad, trustworthy advice and thinking, and financial concerns—are regarded as independent, while perceived satisfaction from travelling abroad is considered a dependent factor.

In recent years, financial inclusion has emerged as a key driver of economic empowerment and sustainable development. With rapid digital transformation and the rise of fintech innovations, Generation Z—tech-savvy, connected, and financially curious—has become a crucial demographic in shaping the future of inclusive finance. Understanding their awareness, access, and usage of financial services offers valuable insights into the effectiveness of current financial inclusion initiatives. The major objective of this research was to study the awareness, access and usage of financial services among Gen Z respondents. The study has also compared the financial inclusion status of Gen Z respondents belonging to New Delhi and Udaipur city. The research has collected data from 359 Gen Z respondents who were selected by using purposive sampling method. A well-structured questionnaire was used to collect the data and the same was analyzed by using SPSS 21.0. The results indicated that majority of respondents were aware of financial products and services which resulted in high usage access and usage of financial products and services. It was observed that there is a significant impact of financial awareness on Gen Z's accessibility and usage of financial services. Finally, it was concluded that Gen Z respondents have positively perceived the financial inclusion and because of financial inclusion their financial decision making have become better and safer.

The study uses a mixed-method (qualitative-quantitative) approach to explore the influence of AI on return on investment and organizational agility in 20 emerging economy higher education institutions over a duration of 24 months. The findings show that the average AI financial return is 18.5%, and 20.2% for large public higher education institutions, whereas small private institutions are experiencing scalability challenges with a mean return of 13.2%. In terms of non-monetary, student satisfaction has gone up by 15% and efficiency in operations by 22%. High correlation between organizational agility and investment in AI (r=0.78, p<0.01) validates the accelerating impact of this technology towards institutional adaptability, though time trend analysis is such that financial return is 85% in month 18 after which it is declining, while organizational agility has been steadily increasing and is beyond month 21. Regional disparity is extreme: South Asian institutions are leading with a 20.3% financial return, whileAfrica with an agility score of 85 on a scale of 100 shows the impact of the technology jump. Its prime barriers are a lack of infrastructure (particularly in 72% of small firms), a lack of skilled workforce, and resistance to culture, rendering success with AI dependent upon infrastructure growth, labor empowerment, and cultural transformation.

This study examines the nexus between unemployment among internally displaced persons (IDPs) and the development of social enterprises in Ukraine during the period 2022–2024, with a particular focus on the moderating role of regional economic conditions in facilitating post- economic integration. A quantitative research war design was adopted, utilizing panel data comprising 36 observations from 12 regions. The empirical analysis employed multivariate linear regression, with the IDP employment rate as the dependent variable and the number of social enterprises, gross regional product (GRP) per capita, and the proportion of IDPs in the total population as explanatory variables. The findings reveal that social enterprises exert a statistically significant and positive influence on reducing IDP unemployment (β = 2.758, p = 0.048), while GRP per capita also contributes positively to employment outcomes (β = 0.031, p = 0.003). The estimated model demonstrates statistical significance (F = 4.914, p = 0.006) and accounts for 31.5% of the variance in IDP employment rates. Conversely, the relative share of IDPs in the population is not a significant determinant (p = 0.307).