Gender Pay Gap in India: Causes, Consequences, and Cures Aayisha Ahamed, Tawheed Nabi Data Driven Monetization Strategies for Economic Insights, 2025 This chapter provides a thorough analysis of the gender pay gap persistent in India, which impedes inclusive economic growth along with social justice. It describes the gap, current statistical overview, and indicators, and examines the causes, including deep-rooted labor division, cultural & social norms, education, and uneven burden of unpaid domestic work, and workplace discrimination. At the lower levels of wage distribution, there is a vivid manifestation of the “sticky floor” effect, and it targets women, especially those who belong prominently to marginalized communities. In addition to the visible factors, the essential contributors are employment segregation, the lack of equity due to the unequal distribution of unpaid household care among women, and workplace discrimination. The chapter advocates for multi-dimensional policy response, aimed at interventions by targeting discrimination, to challenge deep-rooted gender norms, to establish equitable pay structures and open more flexible working opportunities, to create the truly thriving and equitable work culture in India.
Exploring the Potential of Big Data Analytics in Enhancing Tourism in Ladakh: Perspectives of Tourism Business Operators Stanzin Padma, Tawheed Nabi, Utkarsh Gupta Unveiling Bleisure Travellers Exploring Novel Dimensions for Enriching Social Consumer Engagement Using Big Data Analytics, 2025 This chapter explores the potential of big data analytics in enhancing the tourism industry in Ladakh, with a focus on the perspectives of local tourism business operators. The chapter explores the application of big data and its relevance within the tourism industry. Utilizing qualitative techniques by conducting interviews, the chapter evaluates current data utilization within the region and the prospects of business intelligence integration. Among other things, the analysis demonstrates effective marketing strategies, resource allocation, and decision-making processes as primary advantages of big data. Nonetheless, this chapter stresses important difficulties that need to be dealt with, for instance, the question of privacy, security, and the ethics of data collection and usage across what has already been established. Most operators are skeptical about employing sophisticated analytical techniques because of lack of trained personnel, proper data collection devices, and information on advanced technology. The study captures underlying challenges and potentials of big data analytics within the tourism sector in Ladakh and suggests ways to address such issues. The chapter ends with a challenge that data-based innovation culture needs to be embraced by the tourism operators along with adequate measures to mitigate concerns on data protection and ethics. Through local understanding, this study adds to the general perspective of how big data will redefine the tourism industry in the future.
Challenges of Sustainable Tourism in the Himalayan Region of Ladakh Stanzin Padma, Tawheed Nabi Business Strategy and Development, 2025 This study aims to explore and analyze the challenges of sustainable tourism in the Himalayan region of Ladakh. The research adopts a quantitative approach, utilizing a dataset comprising 500 observations. Correlation, t tests, and SPSS AMOS are employed as key statistical tools to test hypotheses related to the impact of various factors on the sustainability of tourism in Ladakh. The findings of the study reveal significant correlations and disparities in Ladakh's sustainable tourism landscape. Environmental challenges, infrastructural limitations, sociocultural impacts, and economic factors are identified as critical elements influencing the sustainability of tourism in the region. The study emphasizes the need for a holistic and collaborative approach to address these challenges. Strategic interventions in policy, community engagement, and sustainable development are crucial to balancing economic growth with the conservation of Ladakh's natural and cultural heritage. The originality lies in the comprehensive analysis using a substantial dataset and statistical tools, offering practical insights for policymakers, local communities, and the tourism industry. The study adds value by informing targeted strategies that can promote sustainable tourism practices and contribute to the long‐term well‐being of Ladakh as a premier Himalayan destination.
Artificial Intelligence and the Future of HRM in the Corporate World: Balancing Innovation and Ethics Aayisha Ahamed, Tawheed Nabi Digital Transformation and Human Potential in the AI Era, 2025 The use of AI in HRM is pioneering. It has enhanced organizational efficiency and recruitment processes. This chapter digs into the impacts of AI on HRM, emphasizing its ability to simplify the recruitment process. Utilizing AI for trend forecasting, employee retention strategies, and risk mitigation can enhance productivity and satisfaction. Like other technologies that let computers perform tasks requiring human intellect, the use of AI in HR also has limits. Ethical issues like algorithmic bias, lack of transparency, and data privacy are concerns that require robust governance and regulatory framework. This chapter discusses the risks of using AI, like the increasing existing biases and replacing HR roles with AI, and highlights the necessity for human supervision of ethical AI adoption. Regardless, it's evident that AI has to potential to reduce administrative burdens and promote inclusivity and data-driven decision-making. This chapter emphasizes balancing innovation with ethics and advocates for the responsible use of AI to foster sustainable growth and a healthy workplace.
Prevalence of Household Food Security and Health-related Quality of Life: Special Consideration on the Expectant Mothers in Punjab Sugandh Arora, Tawheed Nabi, Sumit Oberoi, Vedica Awasthi Indian Economic Journal, 2024 Household food security (HFS) affects the quality and adequacy of nutrition and can significantly impact an individual’s health. The study aims to examine the association between HFS and maternal quality of life in Punjab. The cross-sectional study was conducted in the northern Indian state of Punjab from January to March 2021 on 384 expectant mothers. The urban health facilities were chosen using the random cluster selection approach from geographical locations in Punjab, India. A well-structured questionnaire was adapted from HFS and health-related quality of life (HR-QoL) that was used to collect the data. Descriptive statistics were used to investigate the socioeconomic status and food security. HFS and HR-QOL relationship was studied using multilinear regression. The results revealed that 43.9% of expectant women experienced food insecurity. Mean (±SD) scores for the domains of ‘social performance’ (84.4 ± 16.6) and ‘role limitation due to physical reasons’ (64.5 ± 35.5) were the highest in pregnant women. Quality of life scores for expectant mothers with food insecurity were the lowest. Due to physical reasons, role constraint scored the weakest for pregnant women with food insecurity (64.3 ± 45.5, 69.1 ± 43.2 and 49.3 ± 57.2, respectively, for mild, moderate and severe food insecurity). High-risk pregnant women screened for HFS in their primary prenatal care can increase their diet quality and quantity. Additionally, there is a need for multi-level actions such as policy development, resource allocation and proper amenities to ensure expectant mothers have access to nutritious food. JEL Codes: D1, I0, I30, I31
COVID-19 shock: Flip side of globalization Constructive Discontent in Execution Creative Approaches to Technology and Management, 2023
A Systematic Review on Indian Food Security Systems and Food Assistance Programmes (FAPs) in the Context of the COVID-19 Pandemic Sugandh Arora, Tawheed Nabi, Vishal Sarin Changing World Economic Order in the Post Pandemic Period, 2023 The COVID-19 pandemic has shaken the global economy, where India is the most affected economy. The crisis has an insignificant impact on the 2nd Sustainable Development Goal (SDG) to get rid of desire by 2030. The most deprived society may have a significant threat of poor health and malnutrition as a society cannot access nutritious and sustainable diets. Thus, pandemic generates an income shock projected to increase unemployment, poverty, and household food insecurity. Consequently, the purpose of this study is to acquire the relevant evidence from literature about food security and food assistance programmes. A systematic review was conducted across Academia, EBSCO, Google Scholar, JSTORE, Pub Med, Springer, and Scopus, and a search was performed between March-August 2020 for the accretion. Food security systems and FAPs would be analyzed more comprehensively and suggests the prerequisite for the central and state government to carefully utilize both non-governmental and administrative interventions to drop the hunger rate and improve the food security status.
