This study aimed to develop a simplified approach for measuring the outcomes of academic programs. To achieve this, postgraduate management programs offered by various Indian institutions have been selected. Program outcomes (POs) and course outcomes (COs) are key measurement constructs. The course assessment strategy is tailored to the nature of each course, which is categorized into four distinct groups. Course outcomes (COs) of continual evaluation courses are measured through developed rubrics. This study concludes that a systematic assessment process and well-designed measurement tools are important for measuring program outcomes (POs) of academic programs such as management postgraduate programs. We recommend our model of measuring learning outcomes for all institutions, where the management postgraduate programs offered courses are evaluated on three components: faculty assessment, mid-semester assessment, and end-semester assessment. This process ensures a comprehensive and accurate measurement of program outcomes.

This chapter aims to delve into the evaluation of infrastructure fund performance in India, focusing on the thematic investing approach. Infrastructure development is crucial for economic growth, and investing in infrastructure funds has gained prominence as a strategic investment avenue. Through this chapter, the authors aim to explore the various dimensions of evaluating the performance of infrastructure funds in the Indian context, particularly within the framework of thematic investing. This chapter evaluates the performance of five infrastructure equity funds lunched between 2005 to 2010. Performance has been evaluated through three different methods. In the first segment, six popular performance indicators have been used. In the second, performance is mapped with the benchmark index (nifty infra). Finally, compound annual growth rate (CAGR) is used. The chapter discusses the significance of infrastructure investment, the thematic investing approach, methodologies for performance evaluation, key performance indicators (KPIs), challenges, and future prospects

India’s digital payment ecosystem has evolved conspicuously over the last decade on grounds of the innovation of paperless payment instruments coupled with unprecedented challenges put forth by the demonetization of 500 and 1,000 rupee currency notes and the global pandemic of 2019. This chapter attempts to study the digital transformation of India from a cash-obsessed economy to a cashless one. A review of the last decade of the digital payment (DP) system in India is conducted to explore and analyze the trends in the DP ecosystem from the year 2010 onward. The chapter also postulates a theoretical model of the evolution of the digital payment ecosystem in India and analyzes the comprehensive growth of digital payments by scrutinizing popularly used digital payment indicators such as card payments, National Electronic Fund Transfer System (NEFT), real-time gross settlement system (RTGS), Bharat Interface for money (BHIM), Unified Payments Interface (UPI), and Immediate Payment Service (IMPS). The impact of COVID-19 on India’s digital payment ecosystem is deliberated by reviewing the trends during the pre-COVID-19 and post-COVID-19 era. The study reveals that UPI has surpassed all the other modes and has witnessed a phenomenal growth rate of 103% in transaction volume and 98.87% in transaction value from September 2020 to September 2021. A statistical comparison of pre-COVID-19 (2018-2019) and post-COVID-19 (2019-2020) transaction values unveil a decline of 3.6% and 6.89% in the average annual growth pace of IMPS and UPI. The economic slowdown during the post-COVID-19 phase led to a downfall of 19.5% in RTGS transaction value in FY 2020-21.

The aim of this study is to examine the relationship between learner profile and retention of learning in adult education programs in India. To achieve the objective, learner profile was divided into three measuring factors as social, economic and learning factors. A survey method was used to collect the required data. A testing method was executed to examine the retention level of learners. Factors responsible for the retention of learner profile were further analyzed with the use of a statistical technique (ANOVA). Results of the study show that the economic factors of learner profile have an impactful relationship with the retention level but customized contents of relevant study material with sustainable infrastructural facilities of learning centers can maximize the retention level of learners of such programs.

India is a developing nation who is progressing towards new technology in every sector, and the banking sector is one of them. For economic growth and development and for making people's life easy, major development has been made in the banking sector. Indian banking moved towards digital banking with internet banking, mobile wallet, and unified payment interface available for fund transfer that saves people time, and it is also a safe and secure way to make payment. The objective of this study is to analyze the related literature available on Scopus database on digital banking concerning the Indian context by enlisting the use of Biblioshiny, a web-based application developed in R-language and VOS viewer software for bibliometric analysis.

Background: Cognitive biases including overconfidence, loss aversion, and herding behavior can lead to suboptimal investing decisions and worse stock returns, contrary to traditional finance theory. Objective: To research how cognitive biases affect stock returns and how financial knowledge moderates this effect. The study tries to demonstrate how cognitive biases and financial literacy affect investment outcomes. Method: 447 Delhi-NCR investors were surveyed using a standardized questionnaire. We examined the direct and indirect effects of cognitive biases (loss aversion, mental accounting, and herding behavior) and financial literacy (risk diversification, investing techniques, and financial products) on stock returns using SPSS and AMOS. Results: reveal that cognitive biases strongly influence stock returns. Mental accounting, loss aversion, and herding affect investment performance. Higher financial literacy reduced the unfavourable effects of cognitive biases on stock performance. The model has strong fit indices, indicating strong results. Novelty: This study sheds light on how financial literacy mitigates cognitive biases on stock returns in emerging markets like Delhi-NCR. Combining cognitive biases and financial literacy into one model builds on previous findings