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Tremendous measure of data lakes with the exponential mounting rate is produced by the present healthcare sector. The information from differing sources like electronic wellbeing record, clinical information, streaming information from sensors, biomedical image data, biomedical signal information, lab data, and so on brand it substantial as well as mind-boggling as far as changing information positions, which have stressed the abilities of prevailing regular database frameworks in terms of scalability, storage of unstructured data, concurrency, and cost. Big data solutions step in the picture by harnessing these colossal, assorted, and multipart data indexes to accomplish progressively important and learned patterns. The reconciliation of multimodal information seeking after removing the relationship among the unstructured information types is a hotly debated issue these days. Big data energizes in triumphing the bits of knowledge from these immense expanses of information. Big data is a term which is required to take care of the issues of volume, velocity, and variety generally seated in the medicinal services data. This work plans to exhibit a survey of the writing of big data arrangements in the medicinal services part, the potential changes, challenges, and accessible stages and philosophies to execute enormous information investigation in the healthcare sector. The work categories the big healthcare data (BHD) applications in five broad categories, followed by a prolific review of each sphere, and also offers some practical available real-life applications of BHD solutions.

Consumers are faced with many new products. In almost every product category it is seen that there are more alternatives than provided in previous years. This situation may cause consumers to feel uncomfortable/uncertain, especially about new products. Therefore, since they perceive this uncertainty, customers want to be in control. Control is one of the ways to help customers to decide on perceived risky situations.

The main purpose of the study is to explain the effects of the risk and control drive on consumer behavior and determine how businesses reduce the risk that consumers feel.

It is critical for enterprises to increase their brand awareness in order to reduce consumers’ risk perceptions and increase their controls (cognitive, behavioral, and decision) during purchasing decisions. Also, it will be useful for them to focus on activities increasing brand loyalty. They can especially carry out marketing activities allowing consumers to try new products or providing money back guarantees. Moreover, in order to reduce the risk perception and increase control by the customers, making the promotional contents of the product understandable and simple without hidden factors will contribute in a positive way.

Purpose: This study analyses the mediating effect of parasocial interaction (PSI) in the link between hedonic motivation and impulsive buying intention (IBI) in fashion vlogging about sustainable cosmetics.

Need for the Study: Due to the mass popularity of YouTube, vlogging has led to an augmented level of PSI of vloggers with consumers, which strongly impacts a consumer’s behavioural consequences and persuades consumers to indulge in impulsive buying. Thus, marketers need to comprehend the changing behavioural patterns, including sustainable products, as this new communication medium serves the future of promotion and advertising.

Methodology: Online questionnaires were administered to 349 Gen Z female fashion vlog followers. Structural equation modelling and Hayes Process macros were employed to test the model relationships.

Findings: Results indicate that PI with the fashion vlogger partially mediates between hedonic motivation and impulse buying intention for sustainable cosmetic products. Fashion consciousness (FC) was also established as a significant moderator between all the model relationships.

Practical Implications: The findings of the study would be helpful for fashion brands in the content development of visual marketing communications, which would tap the female Gen Z consumer. Improving the PSI between the follower and the fashion vlogger can be easily enhanced by delivering the right content through the vlogger’s videos.

Introduction: The application of artificial intelligence (AI) can substantially enhance both short- and long-term decision-making in human resource management (HRM) practices. However, academic research fails to address the dark side of AI in confluence with HRM and primarily paints a bright picture of the advantages of AI.

Purpose: The current research emphasises the challenges faced in the HRM domain in applying AI in HRM practices and further discusses the future path to maximise the effect of AI on HRM.

Methodology: The study rigorously surveyed secondary sources like the journal papers, consultant reports and other databases to critically examine the challenges encountered in applying AI in HRM practices.

Findings: Analysis of the above-mentioned sources shows that AI algorithm might bring routinisation of work. HRM ethics, data safety and integrity, biased algorithm from the programmer, fewer data to train the AI model, lack of technical skills of HR executive, neglecting values, and ignoring the creative thinking by employees are a few aspects that might cause difficulty in the adaptation of AI in the HRM domain. As a consequence, there could be unnecessary extra monitoring of employee behaviour, which in turn could lead to loss of workplace well-being and trimming of the human element in HRM.

Practical Implications: This study adds value by focusing on the challenges and suggests the path for robust HRM practices; because, the biased decision-making by AI could potentially lead to improper decision-making by the top management, and in turn, the sustainability of a firm could be at stake.

The concept of inclusive education has been largely debated and developed within a western context and its application within other cultural situations can be challenging. This chapter considers how the interpretation of inclusion within India is influenced by traditional values from within that society which may challenge some of the more conventional ideas within this area. In particular, consideration is given to the ways in which teachers and policy makers define those conditions that might support inclusive schooling and evaluate the ways in which schools are responding to change.

Over the last few years, impacts of environmental variability on population migration have been an increasing concern over the world. Estimates have suggested that between 25 million and 1 billion people could be displaced by climate change over the next 40 years. Though it is very difficult to delineate the specific drivers behind human migration, an attempt has been made in this chapter to discuss various reported cases across the world and more specifically, India where environment has played a major role in population movement. The chapter begins by outlining important definitions of migration and environmentally induced migration. It focuses on how environmental change and environmental hazards, especially water scarcity, contribute to human migration by exploring the mechanisms through which vulnerability and migration are linked. The process of movement and migration is usually subject to a complex set of push and pull forces, where push forces relate to the source area while pull factors relate to the destination. Emphasizing water scarcity as one of the prime push factors behind migration, various instances of population movement have been discussed from various parts of India. Understanding the importance of migration in development of a sustainable society, the chapter identifies various gaps that need to be addressed, which, in turn, will help in incorporating environment-induced migration into the decision-making process.

This chapter explores the CSR conceptual framework, with a particular focus on the CSR policy diffusion and integration in the corporate banking in India. In a nutshell, the research has threefold objectives, it explores: the dynamics of the CSR conceptual development, sketching out the main contextual drivers leading to CSR policy importance in developed/developing countries; the CSR evolution in Indian scenario, pointing out India’s cultural and institutional contextual factors; and the context of banking sector regulations on CSR policy and guidelines. The analysis is supported by a comparative multiple case study analysis, on three leading public banks: State Bank of India (SBI), Bank of Baroda and Punjab National Bank. The rationale for case selection is based on the social and environmental implications of banking financial decisions on the matter. The banking sector is still at the initial stage of integrating CSR policies in their regulations. The findings reveal increasing attention among the banks towards the adoption of social banking regulations. There is a substantial body of empirical evidence showing that the newly CSR core values and guidelines at international level have often had little effect on CSR practice in the banking sector at the country level. The research shows that it is important to look at the CSR evolution through an integrated model of analysis, based on conceptual and empirical evidence. It pointed out an integrated model of analysis of the banking sector through the lens of comparative case studies.