The educational system across the world has immensely been affected due to outbreak of COVID-19; it forced the shut down of educational institutions, which adversely affected student fraternity across the globe. Due to its contagious nature, COVID-19 demanded containment and enforced isolation that tremendously affected personal interaction of teachers and students. In the absence of traditional classroom teaching and one-to-one interaction, computer-based learning has emerged as closest substitute for off-line teaching. Against such a backdrop, it is pertinent to examine the students’ perception and readiness about online-learning system adopted at the university level during the ongoing COVID-19 pandemic. For the present study, the quantitative approach has been adopted and responses from 184 university students of National Capital Territory (NCT) of Delhi, India namely Delhi University, Jamia Millia Islamia (Central University) and Guru Gobind Singh Indraprastha University are collected through online questionnaire. This research study was conducted during June–August 2020. The findings of the study reveal students’ positive perception towards e-learning and thus acceptance of this new learning system. It has also empirically demonstrated the significance of e-learning in the time of COVID-19 crisis. In fact, e-learning has emerged as a new way of enhancing the learning process where social media may further improve the learning output. The findings of the study will facilitate educational institutions and policy makers to take this online-learning process to the next level in a better way.

The operations of many industries, such as banking, insurance, energy, healthcare, and retail, have been improved and transformed by the application of artificial intelligence. The education sector is the particular one which has more potential for artificial intelligence and its applications. Universities and colleges are currently facing a number of challenges, including high rates of dropouts and student disengagement in their classes, as well as the failure of traditional learning techniques in the face of ongoing outbreaks. Major issues in the educational sector can be resolved by the proper application of artificial intelligence and big data, which can facilitate learner-centred approaches as per the needs of today’s era. This can be better described as a personalised learning approach, in which the needs of each and every student can be considered and education can be provided uniquely for them. In this way, the educator can provide a better learning experience according to the needs and ability of the learners/students. Thus, it also assists in enhancing the motivational level of the learners and minimising the dropout rates of the students. The main purpose of the study is to examine the role of artificial intelligence and big data in the adaption of the E-learning system for imparting better education facilities to the students of various colleges and universities situated in Saudi Arabia. The sample dataset for this study was collected through a purposive sampling technique from the 290 students enrolled in numerous higher educational institutions. The collected data were analysed using SPSS and SmartPLS 3 software. The findings of this study reveal that AI and big data assist educators and students as well to run the teaching and learning process smoothly even in the period of an ongoing pandemic at the higher levels of the education system. It also explores the educational inferences of transpiring technologies in the ways of students’ “learning and institutions” teaching and their adaption. In recent eras, technological evolution and an increase in the adoption of latest technologies in the field of higher education have been scouted to forecast the essence of higher education globally in the near future, where AI will be the gist for universities. This study reveals some issues faced by higher educational institutions and students related to the adaptation of these technologies for learning, teaching, administration, and student support. The implications of the present study will be helpful for students and teachers to access educational resources effectively and for educational institutions to improve the efficiency and personalization of learning tasks. Furthermore, it will allow students to get more time with their respective teachers.

To examine how the CSR activities facilitate a company’s brand-building process and useful in building its Brand Equity i.e., Firm-Based Brand Equity (FBBE). Methodology: For the present study, responses have been elicited from a sample of 69 company executives. Multi-stage sampling (method of random sampling) is used in the present study to select the sample executives. The collected sample dataset is analyzed through SPSS (version 25) and AMOS (version 24) software. Cronbach’s Alpha technique is used to measure how closely related a set of items are as a group. This is considered to be a measure of scale reliability. The Exploratory Factor Analysis (EFA) statistical method is used to uncover the underlying structure of a relatively large set of variables. Structural Equation Modeling (SEM) is conducted in the study in order to test the statistical hypotheses formulated for the study and to examine the effect of CSR on Brand Equity with the moderating effect of Marketing Communication and Brand Identity. Findings: The outcomes of the study revealed that Corporate Social Responsibility (CSR), Marketing Communication, Brand Identity and Brand Equity are positively associated. Thus, it can be surmised that CSR affects Brand Equity with the mediating effect of Marketing Communication and Brand Identity. Originality: The present study is based on original research that facilitates new insight instead of summarizing what is already known in a new form. Though many studies on CSR have been conducted in the past, but studies on the relationship between Corporate Social Responsibility and Firm-Based Brand Equity with the moderating effect of Marketing Communication and Brand Identity are few and far between. Implications: The outcome of the study will cast new light on the impact of Corporate Social Responsibility on Corporate Brand Image and also facilitate future research endeavors on CSR. The results of the study will help corporate houses in building a strong brand image. As a matter of fact, the CSR activities implemented by the companies offer a better brand recognition, resulting in greater brand awareness among customers and society at large. Such awareness is related to CSR initiatives of the companies brings brand trust and loyalty. Consequently, the trust and loyalty so developed enhances the Brand Image and strengthens the Brand Equity.

The main objective of this research is to identify the impact of store design and ambience on consumer purchase decisions in retail chain outlets in Delhi-NCR, India. The foremost purpose of this research was to examine if the design and ambience of retail stores have any effect on the decisions of customers’ purchases. The study was descriptive in nature. For this research, a sample of 100 consumers was drawn who generally visit retail stores for shopping. A systematic questionnaire was prepared to collect the data and to analyze it; SEM, reliability, Convergent, Discriminate Validity and model fitness were achieved through SmartPLS3. The current study’s findings indicate that variables, such as window and mannequin display, visual merchandising, and store design and atmosphere have an effective impact on shoppers’ purchase decisions, whereas lighting and color, music, and signage have negligible effects. The findings of this study will provide managerial involvement to the industry in order to emphasize purchase ambition in order to improve profitability and sustainability. More examination of the factors that contribute to purchase aspiration and in other geological areas is advised for future scrutiny. This study presents a validated instrument for measuring the association between design atmosphere and consumer purchasing behavior and serves as a tool for evaluating the influence of various design atmospheric indicators. It is important to keep a steady staff of well-trained, polite salespeople on hand at all times. Customers are more likely to come back and eventually recommend the store to others if their needs are met by customer-focused salespeople who provide excellent service. This helps the merchant to compete in the market.