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Taking a multidimensional perspective, the study aims to identify and examine the factors that are essential for employability. The study pursues to understand the underlying causes that facilitate the development of appropriate skills and attitudes that influence the development of employability in an individual.

The study pursued an exploratory research design followed by a descriptive. It explored the employability factors from the perspectives of the recruiter, student (candidate) and trainer. Additionally, it followed a causal research approach to examine the relationship between factors related to the personal environment, academic system, recruiter’s bias, industry and job attributes and overall employability. The antecedents of employability and their impact were examined with all the constructs taking the recruiter, student and trainer data sets.

The study identifies and analyses the antecedent factors that influence the employability development among college graduates and undergraduates. With its findings, the study identifies the changes or improvements required in teaching and learning mechanisms, grooming students and societal practices, social and economic biases in accessibility to facilities leading to employability. It also calls for a reflection on individual’s own attitude, motivation and abilities. The study calls for an assessment of the education systems and academic quality to develop employability among students. It conjures that the alignment of teacher and learner with industry requirements is an imperative requirement for the expansion of the industry and, in particular, the retail sector.

The study will be of significance to the policymakers and academicians while designing the retail-specific courses and aims toward addressing the mismatch amidst the demand and supply of manpower in the retail industry. The study has been designed to make it highly relevant for the students who are potential manpower to the retail sector as well as the employees who have already entered the industry. It addresses the major factors required for India to develop a cohesive and inclusive ecosystem that provides for the benefit of millions of youths in India.

The literature lacks a coherent meaning and measurement of employability and identifies the need to empirically explore and examine employability skills. Furthermore, the scant empirical research focuses largely on employee or student perspective, even when the role of recruitment in the assessment of employability is most critical. This study empirically evaluates the market from the perspective of students, employees, employers, trainers and academicians and develops a model that gives a holistic picture of the causes that influence the development of employability in an individual.

Restaurant table booking (RTB) mobile apps are transforming how consumers reserve tables in the restaurants of their choice. This study analyses how RTB mobile apps influence brand attachment (BA) and brand commitment (BC), highlighting the moderation effect of desire for uniqueness (DU) by integrating visual content theory and social exchange theory.

Data [N = 414] were collected through the survey method from consumers having experience in using RTB mobile apps. The data were analysed through structural equation modelling using AMOS and SPSS PROCESS macro to examine moderated relationship.

The results confirm that content aesthetic quality, perceived technical interactivity and brand investments influence BA and BC in the RTB mobile app and also confirm the moderating role of the DU.

The present work is among the first to study the sources of BA in the RTB mobile app domain. Thus, it contributes to the literature on the restaurant industry to understand consumers' BA behaviour to achieve BC.

The purpose of this paper is to explore various limitations of conventional mining systems in extracting useful buying patterns from retail transactional databases flooded with Big Data. The key objective is to assist retail business owners to better understand the purchase needs of their customers and hence to attract customers to physical retail stores away from competitor e-commerce websites.

This paper employs a systematic and category-based review of relevant literature to explore the challenges possessed by Big Data for retail industry followed by discussion and implementation of association between MapReduce based Apriori association mining and Hadoop-based intelligent cloud architecture.

The findings reveal that conventional mining algorithms have not evolved to support Big Data analysis as required by modern retail businesses. They require a lot of resources such as memory and computational engines. This study aims to develop MR-Apriori algorithm in the form of IRM tool to address all these issues in an efficient manner.

The paper suggests that a lot of research is yet to be done in market basket analysis, if full potential of cloud-based Big Data framework is required to be utilized.

This research arms the retail business owners with innovative IRM tool to easily extract comprehensive knowledge of useful buying patterns of customers to increase profits. This study experimentally verifies the effectiveness of proposed algorithm.

This study unravels an attempt to investigate the dynamic connectedness of agri-commodity (wheat) of Russia with 10 financial markets of wheat importing counties during the Russia–Ukraine invasion.

This study took the daily prices of Wheat FOB Black Sea Index (Russia) along with stock indices of 10 major wheat-importing nations of Russia and Ukraine. The time frame for this study ranges from February 24, 2022 to July 31, 2022. This time frame was selected since it fully examines all of the effects of the crisis. The conditional correlations and volatility spillovers of these indices are predicted using the DCC-GARCH model, Diebold and Yilmaz (2012) and Baruník and Křehlík (2018) models.

It is found that there is dynamic linkage of agri-commodity of with stock markets of Iraq, Pakistan and Tanzania in short run while stock markets of Egypt, Turkey, Bangladesh, Pakistan, Brazil and Iraq are spilled by agri-commodity in long run. In addition, it documents that there is large spillover in short run than medium and long run comparatively. This signifies that investors have more diversification opportunity in short run then long run contemplating to invest in these markets.

To the best of the authors’ understanding this is the first study to undertake the dynamic linkage of agri-commodity (wheat) of Russia with financial market of select importing counties during the Russia–Ukraine invasion.

The Indian government’s launch of Digital India initiative is critical to achieving a sustainable future by leveraging digital capabilities to promote social justice, economic prosperity and environmental stewardship. There are a lot of factors affecting digital India’s transformation to achieve sustainable development goals. This study aims to identify, examine and develop an empirical model estimating the relationship among enablers affecting and enhancing digital India’s transformation toward sustainability.

Following a thorough review of the literature, 10 key enablers were identified and analyzed using the total interpretive structural model (TISM). This novel approach has been adopted to analyze the hierarchical linkage between identified Enablers. Further Matrice d’impacts croisés multiplication appliquée à un classement (MICMAC) analysis technique is used to evaluate the driving and dependence power among enablers.

Findings show that the government’s supportive policy is the strategic enabler with the highest driving power, positioned at the bottom of the model. The government must support digital empowerment initiatives to ensure all individuals have access to the information they require to make proper decisions regarding their lives. This study examines the literature to generalize the findings to focus on the motivator of digital India transformation to achieve sustainable development goals.

This study suggests that TISM and MICMAC-based hierarchical models help practitioners, managers and other stakeholders to focus more on strategic factors to enhance the performance aspects of digital transformation. Government, business and academic cooperation promotes a comprehensive approach to environmental sustainability by stimulating innovation and digital approach implementation.

In addition, it offers novel insights into the enablers, such as how the identified enablers interact with one another depending on the drive and dependency power to achieve the goals of digital India’s transformation to achieve sustainable development goals.

Introduction: Regulatory technology (Regtech) uses technology and innovative techniques to improve and expedite regulatory compliance procedures across various sectors, notably the financial industry. This chapter closely examines how Regtech is being used in the financial sector.

Purpose: This study examines the adoption and implementation of Regtech solutions in the financial sector. It aims to identify the leading technologies propelling the adoption of Regtech and the benefits and challenges financial institutions face when implementing Regtech solutions for regulatory compliance.

Need of the Study: The study examines the increasing demand for effective regulatory compliance in the financial sector. Financial institutions seek novel ways to streamline compliance procedures as regulatory complexities increase. This study fulfills the need to examine the adoption of Regtech as a potential solution to enhance regulatory compliance’s efficiency and effectiveness.

Research Methodology: This chapter’s research methodology entails a comprehensive review of existing studies, and examples to collect pertinent data and insights. The current study provides an extensive and comprehensive view of the existing studies. Examining real-world examples provides practical examples and demonstrates the efficacy of Regtech in the financial sector.

Findings: The findings reveal that the adoption of Regtech is gaining momentum in the financial industry, with increasing recognition of its potential benefits. Financial institutions leverage Regtech solutions to automate compliance processes, monitor regulatory changes, and enhance risk management practices. However, technological complexities, regulatory constraints, and data security concerns pose significant hurdles to widespread adoption.

In the last 10 years, the global financial services industry has significantly benefited from fintech. As the Indian entrepreneurial ecosystem continues to change, more fintech-use case-driven firms are created, and more investors are supporting these enterprises. India is acknowledged as a powerful fintech centre internationally.

The goal of the current research is to comprehend the revolutionary landscape of the Indian financial system.

Methodology: The research methodology entails a thorough review of several research papers and government reports better to understand fintech's role in the Indian financial system. This requires examining the trends, regulations and technical breakthroughs driving the fintech ecosystem to present a comprehensive picture of its influence.

The present chapter indicates that the fintech industry is flourishing in India. Over the following years, technological improvements will fuel the market's continuous expansion and change how financial products and services are produced, distributed and used.

Today the research area on technology acceptance is mainly dependent on the theory of technology acceptance model (TAM). The TAM was used in this study primarily for the purpose of providing a basis for determining the impact of various external variables on the adoption of edtech platforms. The TAM is a theory of information systems that suggests steps for learners to take as they adopt and use new technologies. The primary TAM variables for adoption of edtech platforms are evaluated in this study: perceived usefulness (PU) and perceived ease of use (PEOU) by using the factors – perceived enjoyment (PE), information quality, electronic-word of mouth (e-WOM), perceived compatibility, computer self-efficacy and objective usability. By analyzing and defining the relationship between the external variables with respect to the adoption of edtech platform among students, we hope to contextualize the TAM model. The end result provides a clearer understanding of TAM and its growth as a useful model for technology adoption studies and for clarifying the relationship between the uptake of edtech platforms and technological acceptability. The study employed a qualitative methodology and selected publications and research papers about the adoption of technology. These were then carefully assessed, analyzed and scrutinized for the terms of how students adopted edtech platforms. It was proposed that the adoption of an edtech platform may result from proper training in technology usage and its application to real-world scenarios.

The objective is to develop an empirical model estimating the relationship and interaction amongst the factors affecting and enhancing green finance (GF) in developing economies like India.

Around nine growth-accelerating enablers of green financing were found through literature and unstructured interviews and analysed using the total interpretive structural modelling (TISM) method. The hierarchical link between each factor is established using TISM, and further to evaluate the driver-dependent relationship the Matriced’ Impacts Croises Appliquee Aaun Classement (MICMAC) approach is utilised.

The findings demonstrate an interrelationship between growth-accelerating factors, where the political environment and information and communication technology (ICT), have minimal dependency but a strong driving force. Political environment and ICT are found as strategic-level factors lying at the bottom of the model driving towards the dependent variables. The government should focus on enacting effective policies such as the green credit guarantee scheme and carbon credit and establishing a regulatory framework to enhance green financing.

This study examines the literature to generalise the findings and focus on the primary motivators for developing green financing. To increase green financial activity, practitioners must concentrate on aspects with significant driving forces. Furthermore, it makes organisations more profitable, efficient and competitive and promotes long-term growth.

The study is the first in the literature which identifies the growth-accelerating factors of green financing using the TISM and MICMAC-based hierarchical models.

This study aims to investigate the role of corporate governance practices in restraining earnings management in Indian commercial banks.

Estimation of earnings management is based on discretionary loan loss provision and discretionary realised security gains and losses using Beatty et al. (2002) model. The effect of corporate governance on earnings management is examined by performing two-way least square dummy variable regression. Data for a period of five years (2016–2020) is collected from the Centre for Monitoring Indian Economy ProwessIQ database, Reserve Bank of India website, annual report of banks, National Stock Exchange and bank’s website.

Regression results exhibit that number of board committees, size and independence of audit committee and joint audit are significantly effective in curbing earnings management. Other board-related variables (size, independence, meetings and diligence) and audit committee variables (meetings and diligence) are not effective in restraining earnings management in Indian banks.

The findings may prove to be helpful to regulators, board of directors and investors. It shows the weak area of corporate governance in India that is lack of autonomy to independent directors, which needs regulators attention and it also suggests that the number of independent auditors should be adequate for audit purposes. The board of directors must ensure the formulation of an adequate number of committees, which perform their own super specialised functions. This study brings an alarm to investors not to rely on reported earnings alone as they may be manipulated.

This paper substantiates the scant literature on the role of corporate governance practices in restraining earnings management in banks of emerging markets and to the best of the authors’ knowledge impact of joint audits on earnings management is previously unexplored in Indian banks, which are examined in this study.