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The study aim is to evaluate the contribution of Blockchain technology (Cryptobanking) using expected operating model (EOM) to address the pain points in reconciliation at middle and back-office operational levels in assessing the significance of this technology on return on investment.

A structured questionnaire was designed to collect primary data using a stratified sampling method from 120 respondents working in leading Investment banks operating in the geographical locality of urban Bangalore. Demographic variables, accounting variables, data reporting variables, approach variables, variables of EOM were considered to validate the hypothesis with the help of statistical tools, namely ANOVA, and Multiple Stepwise Regression Analysis.

The results obtained confirm that there is significant difference in reconciliation with implementation of an innovative business process. Financial analysis is the highest predictor of ROI when integrated with technology as the adapted Blockchain innovation in reconciliation is the most influencing factor in enhancing, improving ROI playing a pivotal role in the Investment banks.

Blockchain technology (Cryptobanking) facilitates in transforming the reconciliation process of these banks with improved operational efficiency. Blockchain and settlement platforms offer inter-organization solutions facilitating in the reconciliation of various transactions in real-time through a trust-based network in the form of digital settlements with better consortiums.

The study aims to examine the impact of an artificial intelligent service agent (AISA) on customer services to the rural population provided by KAYA, Kotak Life's AI-enabled insurance chatbot avatar that offers quality insurance services.

Multi-stage cluster sampling method was adopted to collect the responses from the 707 customers across the rural population of southern states of India. SPSS V.2 and Smart PLS 4 were used to apply simple percentage analysis, multiple linear regression analysis, and structural equation modeling (SEM) to validate the hypothesis. The dependent variables are economic performance and market performance based on the independent variables: efficiency, security, availability, enjoyment and contact.

The study revealed that efficiency and security are the highest predictors and the most influencing variables in predicting the economic and market performance of the insurance companies in determining the quality of service when rendered through AISA among the customers. Efficiency, security, availability, contact and enjoyment are the critical dimensions of AISA. It has a more significant impact on quality service (claim processing) to the rural population. It improves the economic and market performance among the insurance companies and the rural population.

Customers need convenience when making claims. Even little challenges might lead to stress and unhappiness, depending on the situation. Restrictions on where customers can file claims may not be the most outstanding service insurance firms can offer, given rising travel and commuting costs and widening geographical borders. Customers value proactive communication from service providers about the status of their insurance claims.

The purpose of this study is to explore the financial sources and evaluate the credit facilities available to Tibetan entrepreneurs especially residing in the vicinity of the Karnataka district, India. The most significant problem is that lending rates are extremely high and there is a lack of professional skill to manage their operations. Availability of financial support is still a major barrier for established and potential Tibetan entrepreneurs in the growth of their enterprises.

A sample size of 115 respondents, belonging to the urban and rural districts of Karnataka were interviewed to collect the information as primary data. Correlation analysis, cluster analysis, one-way ANOVA and percent test have been applied for statistical analysis. The interest rate, bank loan, credit, savings, friends and relatives, corporate, retained profits and trade credit are the variables used for the research.

Personal savings, bank credit and bank loans are the most important variables reflecting the credit activities and are clustered having a total of 3.710. Corporate, trade credit and retained profits form minimal sources of credit having a total of 1.194. Hence, there is an important relationship between the variables and the credit facilities availed by the entrepreneurs.

The research emphasis on their credit facility, financial growth, availability of capital are some of the challenges encountered by the entrepreneurs hindering the growth of the new business. Hence the researcher has focused on understanding and exploring the various challenges faced by these entrepreneurs.

This study aims to analyze the importance of disruptive technological innovations on qualitative service delivery and their impact on the investment banks’ employee performance.

The cluster sampling method has been used to collect the primary data from the 250 respondents from foreign investment banks. Variables used are employee performance, service delivery, technology, security, operations, strategy and quality through chi-square, linear stepwise multiple regression analysis and correlation.

Storage network, operating cost, client reporting, cloud system and money laundering are the highest and most significant predictors of employee performance. Employee performance multiplies every unit with a strategic solution owing to positive and robust correlation (0.944). Fusion technology-based banks offer quality service to their clients.

A combination of artificial intelligence and blockchain ensures increasing automation to improve efficiency and reduce the operating cost creating a seamless integration in fraud detection, customer support, risk management, security, digitization and automation process, algorithmic trading, wealth management, etc.

Rich collections of conference proceedings are available in major science and technology (S & T) libraries in India. Unfortunately, no bibliographic tool is available to provide access to these information sources at national/regional level at present. Recognising this fact, Indian National Scientific Documentation Centre (INSDOC) has set up a project of creating a database and publishing a union catalogue of S & T conference proceedings available within the country. In the first phase, 30 major research and development institutions in the city of Bangalore, South India have been covered and the first volume of the union catalogue was published in 1991. It is printed using a desktop publishing system and the database is available on Unesco's CDS/ISIS mini‐micro version 2.3.

Technology advancement has changed how banks operate. Modernizing technology has, on the one hand, made it simpler for banks to do their daily business, but it has also increased cyberattacks. The purpose of the study is to to determine the factors that have the most effects on online fraud detection and to evaluate the advantages of AI and human psychology research in preventing online transaction fraud. Artificial intelligence has been used to create new techniques for both detecting and preventing cybercrimes. Fraud has also been facilitated in some organizations via employee participation.

The main objective of the research approach is to guide the researcher at every stage to realize the main objectives of the study. This quantitative study used a survey-based methodology. Because it allows for both unbiased analysis of the relationship between components and prediction, a quantitative approach was adopted. The study of the body of literature, the design of research questions and the development of instruments and procedures for data collection, analysis and modeling are all part of the research process. The study evaluated the data using Matlab and a structured model analysis method. For reliability analysis and descriptive statistics, IBM SPSS Statistics was used. Reliability and validity were assessed using the measurement model, and the postulated relationship was investigated using the structural model.

There is a risk in scaling at a fast pace, 3D secure is used payer authentication has a maximum mean of 3.830 with SD of 0.7587 and 0.7638, and (CE2).

This study focused on investigating the benefits of artificial intelligence and human personality study in online transaction fraud and to determine the factors that affect something most strongly on online fraud detection. Artificial intelligence and human personality in the Indian banking industry have been emphasized by the current research. The study revealed the benefits of artificial intelligence and human personality like awareness, subjective norms, faster and more efficient detection and cost-effectiveness significantly impact (accept) online fraud detection in the Indian banking industry. Also, security measures and better prediction do not significantly impact (reject) online fraud detection in the Indian banking industry.

Information for regularly‐issued publications held on a database, such as accessions lists, bulletins and directories, can be downloaded with embedded codes used for word‐processing commands, desktop publishing flags or a markup language. In this way the information can be formatted automatically for style and layout to facilitate printing and to enhance the final appearance. This article describes how a series of directories has been produced by the Association of Commonwealth Universities in this way using CAIRS information retrieval software and how the data must be tidied up once it has been exported from CAIRS. CAIRS' index generation facilities are also described.

Describes the use of the CDS/ISIS bibliographic database package within the Tata Energy Research Institute Library in Delhi. Indicates the capabilities of the package and states the hardware requirements and package availability (from UNESCO). Assesses the applications of the package through a comprehensive survey of the literature on its use within libraries throughout the world.

This paper aims to describe SpaceCat, a centralised and distributed online information system based on open source software (GSDL) and its use for the space science community in India.

The system is based on open source software (GSDL, Apache, PERL, and GRE). SpaceCat gathers collections of space science serials, indexes them and offers them to the space science community.

The findings of the study suggest that SpaceCat can serve as an ideal access tool for space science serials holdings information in India and will enhance space research activity by providing information accurately, exhaustively and expeditiously.

This is an experimental prototype study and only a few samples have been considered. This will be investigated further with a wider population, which will improve the SpaceCat System.

These results suggest that a system like SpaceCat could be applicable to space science libraries, which would help to serve the students and scientists working on space science research in quickly accessing information from other institutes.

The paper describes the application of open source software (GSDL) as a form of resource‐sharing tool and a single authoritative source of space science serials holdings information in India.

Purpose – Informed by an intersectional perspective, this chapter examines how middle-class, immigrant Tamil (an Indian regional group) Brahmin (upper-caste) profess/ional women organize motherhood in the U.S., by identifying the arrangements of mothering they develop, and the conditions under which these emerge.Methodology/approach – Data is based on a year-long ethnography among Tamils in Atlanta, and multi-part, feminist life-history interviews with 33 first-generation, Tamil professional women, analyzed within a constructivist grounded theory method.Findings – Tamil immigrant motherhood emerges from the interplay of Tamil women's social location as an immigrant community of color in the U.S. and their agency. Paradoxically racialized as model minorities who are also culturally incommensurable with American society, Tamil women rework motherhood around breadwinning and cultural nurturing to mother for class and ethnicity respectively. They expand the hegemonic model of Tamil Brahmin motherhood beyond domesticity positioning their professional work as complementary to mothering, while simultaneously reinforcing hegemonic elements of mothers as keepers of culture, responsible for ethnic socialization of children. Mothering then enables them to engender integration into American society by positioning families as upwardly mobile, model minorities who are ethnic. This, however, exacts a personal toll: their limited professional mobility and reduced personal leisure time.Originality/value – By uncovering Tamil immigrant motherhood as structural and agentic, a site of power contestation between spouses and among Tamil women, and its salience in adaptation to America, this chapter advances scholarship on South Asians that under-theorizes mothering and that on immigrant parenting in which South Asians are invisible.