Dr. Varsha Agarwal’s scientific contributions

In educational organizations, digital resource management refers to the organization and enhancement of electronic resources, including databases, libraries, and digital instructional materials. Excellent administration ensures optimal utilization, improves accessibility, and advances learning objectives. To achieve better institutional results, this approach entails incorporating digital tools, handling issues like data security and user training, and adjusting to new technological developments. Using an emphasis on the integration of digital libraries, e-learning platforms, and research databases, this study investigates the technologies and approaches used in maintaining digital resources within higher education circumstances. Through the use of a survey research design, this study employed a quantitative research methodology. Data gathered from a sample of 250 undergraduate students was utilized in this investigation. This study looks at the connections between teaching profile (TP), technology competence (TC), digital technology awareness (DTA), utility perception (UP), and usage motivation (UM). SPSS was utilized statistically to obtain the outcomes. Descriptive, correlation, and regression analysis were used to obtain the results utilizing data gathered from a sample of university participants. Significant of both conceptual and actual consequences have resulted from the findings.According to the study's findings, efficient use of digital resources in academic institutions greatly improves accessibility and resource utilization, both of which contribute to better learning outcomes.

Media portrayal has a huge impact on young fashion and style preferences, driving both social and personal trends. This study investigates whether media portrayals, such as social media, television, and fashion businesses, influence young adults' fashion choices and self-image. The study investigates the influence of exposure to media on fashion preference formation through the analysis of collected datasets. The key findings show that fashion personalities and media channels have a significant impact on style acceptance. The study focuses on how brand reputation and the variety of media content impact consumer behavior. It employs SPSS software to conduct statistical methods, such as Chi-Square tests, to examine the link between demographic factors and media influence. The findings underscore the dynamic nature of fashion trends influenced by media and emphasize the need to understand how media shapes the fashion choices of today's youth.

Smartphone acceptance could improve instruction, increase accessibility, and foster student involvement, which is a fundamental element in the development and application of m-learning in the classroom. This process reflects continuing advancements and versions in educational methods. The effect of mobile technology adoption in classrooms is examined in this study, focusing on its effects on student engagement, educational outcomes, and the associated infrastructure and support. The study comprised qualitative and quantitative data collected from 300 students using a mixed-method approach. Five key variables related to mobile technology use were integrated, and SPSS software was employed for analysis. Descriptive statistics were used to compute an adoption index, highlighting positive student feedback and assessing technological integration, despite, to assess variations in student satisfaction and academic achievement; a one-sample t-test was used. Results revealed significant positive impacts on engagement and outcomes, though challenges in infrastructure and cost price. The findings highlight how mobile technology could transform education, but they also highlight how much additional resources and encouragement are required to ensure that it is as sustainable and effective as possible.

Digital evolution in the banking sector refers to the integration and development of digital innovations, such as internet banking, mobile applications, AI, and data analytics in banking operations and customer service measures. The research examines the influence of digital development on customer interaction strategies in the banking sector. As banks increasingly adopt digital tools to meet customer expectations for convenience and personalized services, the dynamics of customer relationships are changing. The study purpose is to understand how digital transformation influences customer engagement, satisfaction, loyalty and challenges banks face in maintaining personalized interactions in a digital environment. The study looks into a number of factors, including digital engagement, customer satisfaction, service personalization, customer loyalty, service accessibility, trust and security. The study involves 600 banking customers filling out a questionnaire after being informed about the purpose of the survey. SPSS was employed to conduct various statistics tests such as, pearson correlation, chi square, and t-test the obtain data and variables. The result indicates a positive correlation between the adoption of digital banking solutions and increased customer engagement. Research results underscore the importance of continued investment in a digital technologies to maintain a competitive edge in the banking industry. Banks that effectively integrate digital tools into their customer relationship management practices are better positioned to evolving requirement of customers, leading to improved satisfaction and loyalty.

Organizational operations have been modified by using the rise of digital innovation, which has increased consumer interaction, accelerated efficiency, and stimulated overall growth. But obstacles like converting organizational adoption charges and a quickly evolving era would possibly make it more difficult to generalize effects across of different sectors and ancient intervals. To overcome these constraints, a thorough examination of the impact of digital innovation on organizational growth is carried out in this study. This study investigates the connection among Digital infrastructure (DI), Digital Innovation practices (DIP), Adoption of advanced digital technologies (ADT), Leadership support (LS), Organizational growth (OG), and Employee digital capabilities (EDS) utilizing Structural Equation Modeling (SEM) and CFA test. SEM is used to evaluate the causal pathways between constructs and the connections between latent variables and their indicators. CFA is a method used to validate the dimension model by examining the relationships between observed indicators and their underlying constructs. A systematic questionnaire with a Likert scale rating was used to collect data from 600 populations. The measurement model assessed the validity and reliability of latent constructs, while the structural model analyzed the relationship between constructs based on the proposed hypotheses. The structural model revealed that DI, LS, and ADT are positively connected to the DTP, and OG, between digital innovations on organizational growth. (β = 0.58,0.54,0.60 and 0.62,p < 0.05), providing well support for hypotheses 1, 2, 4, and 5. The SEM and CFA confirm the robustness of these relationships. The findings underscore the critical role of digital infrastructure and leadership in driving effective digital practices and fostering growth.

Digital marketing tactics, such as social media advertisements and online promotions, have an impact on customers' propensity to make purchases, influencing their purchasing decisions and behaviors. The effect of digital media marketing on consumers' intentions to purchase, is the term used to describe this phenomenon. Digital media marketing tactics have a problem that they can't take into consideration the variety of customer behaviors, which could result in generalized findings that are not applicable to certain market personal preferences. Randomly collected 180 participants for this study to find the impact of digital media marketing on customer buying intentions, and randomly questionnaires were collected. There are some factors depicted in this study that Consumer Purchase Intension (CPI) is a dependent variable, and independent variables such as Perceived Relevance (PR), Frequency of Exposure (FE), Content Quality (CQ), Platform Trust (PT), and Social Proof (SP). Digital media marketing's effect on consumers' ability to make purchases is investigated using statistical analysis using PLS-SEM, CFA, reliability, and Cronbach's alpha. The results of this investigation indicate a strong connection between CPI and digital media marketing and with reliable structures and believable models, it has successfully influenced consumer behavior and decision-making processes.

The purpose of this paper is to analyse and understand how specific advancements in the area of marketing and organisation affect the overall firm performance (FP) given that there are diverse ways in which innovation boosts up corporate revenues, marketing innovation (MI), leadership innovation (LI), organizational innovation (OI), process innovation(PI), and customer engagement innovation (CEI) as the independent variables in the framework with FPbeing the dependent variable, through the collection of surveyed data from 150 firms across different industries and subsequent analysis using SPSS 25. Descriptive analysis pointed out that OI was equally high with a mean of 4.2 indicating is prominent role. Multiple regression analysis identified CEI having the largest positive effect on FP (B= 0.35,p = 0.000). ANOVA result showed that PI contributed the most significant variance in the FP (F=7.89,p = 0.008). The study provides understanding on how different types of innovations create corporate success and highlights the key innovation of CEI for enhancing the FP.

The banking industry, marked by dynamic market conditions and evolving customer expectations, encounters distinctive challenges in talent management. Talent management, covering recruitment, development, and retention, plays a crucial role in ensuring the competitiveness of banks. This research conducts an in-depth exploration of talent management strategies in banking environments to unveil the nuances contributing to organizational success. The primary objective is to investigate and assess the effectiveness of talent management strategies by banks to attract, nurture and retain skilled professionals. The paper examines relevant publications, utilizing a methodological approach that spans from 2018 to 2023. Data are extracted from scientific literature databases to ensure a comprehensive analysis. The findings indicate heightened academic interest in talent management within the banking sector, emphasizing the urgent need for further research. The paper provides valuable insights for academia and the banking sector, serving as a foundation for future Data-driven research on talent management and hiring strategies in the banking industry and the broader financial domain.

Investments carry a level of risk since they require the investor to part with money that they have worked hard to earn. An astute investor who has received the appropriate instruction can significantly cut risk while increasing potential returns. There is a wide variety of options available to investors for putting their money to work. The investors anticipate higher returns while taking on a comparably lower level of risk. The goals of the research are to know the demographic elements that influence investment opinion and to examine the investment opportunities available to investors. The study is of an analytical and descriptive character, and it focuses on the investors' KOREA REVIEW OF INTERNATIONAL STUDIES Volume 15 | Issue 41 | Dec 2022 177 perceptions of investment avenues as well as the implications such perceptions have on levels of satisfaction and post-investment behaviour. It is contingent on both primary and secondary sources of information. The outcomes of the study indicated that the opinions of investors on various investment opportunities in Tamil Nadu might be used to better understand investor perceptions.