Dr. Sunita Jatav

@nldalmia.in

Associate Professor at Department of Management
N.L. Dalmia Institute of Management Studies and Research, Mumbai

Dr. Sunita Jatav

EDUCATION

PhD, MBA, NET

RESEARCH, TEACHING, or OTHER INTERESTS

General Business, Management and Accounting, Marketing, Management of Technology and Innovation, Organizational Behavior and Human Resource Management
12

Scopus Publications

Scopus Publications

  • AI and Sustainability Corporate Governance Reporting
    Neeraj Gupta, Debapriya Samal, Sunita Jatav, Priti Aggarwal
    Smart Sustainability the Role of AI in Business Intelligence, 2025
    Artificial intelligence (AI) in sustainability reporting is currently transforming corporate governance in today's business environment. With pressure from investors and regulators to become more transparent with their environmental, social, and governance (ESG) reporting, companies across the globe are using AI to inscribe sustainability into operations that are transparent, efficient, and effective. In this chapter, the key role played by AI in shifting the paradigm of sustainability reporting is highlighted, i.e., the automation of data collection, the usage of huge, real, useful, and action-driven data to move decision-making forward. It explains how AI tools and technologies such as machine learning, natural language processing, and predictive analytics can be leveraged to provide added value to ESG reporting, suggest new measures towards sustainability, and facilitate stakeholder engagement through user interactive and responsive platforms. However, the arrival of AI in sustainability reporting at the same time also faces certain difficulties. The chapter also addresses some of the key governance concerns, including ethical concerns, quality of data, risk management, and disclosure of AI systems. In addition, the study on regulatory evolution, emerging technologies, and the actors’ viewpoint on the development of the future of AI-enriched sustainability reporting is also proposed. This chapter, by offering an integrative model for the responsible use of AI in corporate governance (CG), can contribute valuable information to business managers, professionals in corporate sustainability, and legislators who wish to harness the benefits of AI while being mindful of ethical, transparent, and efficient sustainability applications. What makes this work innovative is the interdisciplinary approach (AI and sustainability reporting, corporate governance, and so on) adopted in the present study in an attempt to offer hands-on solutions for companies who want to make measurable long-term value.
  • The path towards sustainable hydrogen-based economy: A pestle analysis of India
    Vijeta Singh, Sunita Jatav, Srinivas Subbarao Pasumarti
    Geopolitical Landscapes of Renewable Energy and Urban Growth, 2025
    This chapter analyzes India's hydrogen economy deployment variables using PESTLE analysis, focusing on political, economic, social, technological, and legal factors through principal component analysis. The study identifies key factors influencing hydrogen economy adoption, determining that the levelized cost of hydrogen (LCOH), hydrogen production technologies, and laws/regulations are crucial. It contributes to research by applying PESTLE analysis to assess hydrogen fuel-based electricity generation in India. Government and industrial initiatives, including incentives, financial support, and R&D efforts, aim to enhance the hydrogen economy, adding to the literature on renewable energy financing in emerging economies.
  • Assessing the relevance of an Indian undergraduate civil engineering programme: a fuzzy analytical hierarchy process approach
    Swapnil Sharma, Seema Ravindra Singh, Sunita Jatav
    Higher Education Skills and Work Based Learning, 2025
    PurposeAn undergraduate civil engineering programme is assessed for its relevance to the building construction sector. Its contrast from the existing curriculum structure is also highlighted.Design/methodology/approachThe curriculum is clustered into 15 groups based on disciplines. A pairwise comparison of groups is conducted by experts from the building construction sector. Expert judgements are analysed using Fuzzy Analytical Hierarchy Process (Fuzzy AHP) to determine the groups' order based on their importance in preparing students for a career in the building construction sector.FindingsConcrete Technology, Structural Design and Analysis, and Building Technology and Town Planning emerged as the three most essential course groups, followed by Construction and Project Management, Surveying, and Geotechnical and Allied. Foundational Science and Math, Hydrology/Water Resource Engineering, and Computing and Programming came last in the order.Research limitations/implicationsRelying on a curriculum from a specific region, generalizability to other geographical areas is limited. The perspective of building construction sector professionals excludes the views of other stakeholder groups within the sector.Practical implicationsThe study allows universities in general to enhance students' job prospects in construction by calibrating course group priorities and aligning skills with industry needs, thereby potentially improving employability, and boosting the industry-academia relationship.Originality/valueFuzzy AHP has been utilized by building construction industry experts to assess the relevance of an undergraduate civil engineering curriculum. Findings serve as a valuable reference for implementing positive curriculum changes to potentially enhance student employability.
  • Purchase Intentions and Purchase Behaviour towards Health Insurance among Generation Z: A Moderating Effect of Health Insurance Literacy
    International Journal of Business, 2025
    <h2 style="text-align: center;"><span style="color:#e74c3c;">Volume 30&nbsp;Number 2, 2025</span></h2> <h2 style="text-align: center;">Purchase Intentions and Purchase Behaviour towards Health Insurance among Generation Z: A Mode...</h2>
  • Evolving needs of learners and role of artificial intelligence (AI) in training and development (T&D): T&D professionals' perspective
    Aparna Sameer Dixit, Sunita Jatav
    Journal of Management Development, 2024
    PurposeThe principal aim of this research is to acquire a deeper understanding of the opinion held by the training and development (T&amp;D) professionals, regarding the use of artificial intelligence (AI) technology in the area of T&amp;D. Particularly in response to the evolving needs of learners, the research aims to ascertain T&amp;D professionals' perspective on the efficiency of AI in fostering T&amp;D, while understanding the constraints and limitations associated with this technology.Design/methodology/approachThe study is based on qualitative data. With the help of semi-structured interviews, qualitative data has been collected from 21 T&amp;D professionals. Experts working with multinational corporations (MNCs) are selected as a study sample using a convenient sampling technique. Qualitative data were analysed using thematic analysis. Conclusions were drawn based on the results of thematic analysis.FindingsThe findings of the study have revealed a notable and rapid evolution in the requirements of learners, particularly during and post-COVID-19 period. AI-based technology has emerged as a significant contributor, offering learners distinct personalised experiences and enhanced convenience. However, the implementation of AI in training remains in its early stages and has not reached widespread adoption. The findings of the study also highlighted various challenges and limitations, while using AI-based technology for training. It has been found that AI complements rather than replaces the role of a physical trainer.Originality/valueThe originality of this study lies in the application of AI-based training for professional learners, from the perspective of the T&amp;D practitioners working with MNCs in Maharashtra, India. Numerous studies that have recently been published, emphasise the areas in which AI technology can transform the T&amp;D industry. Yet, there are currently very less studies that have attempted to understand the evolving needs of learners and support of AI-based training for the same, from the perspective of the T&amp;D professionals working in Maharashtra, India.
  • The Unchained Sustainability: Exploring the Ripple Effect of Blockchain Technology on Hospitality’s Environmental Resilience
    Sunita Jatav, Rupali Gupta, Vijeta Singh
    Sustainability Reporting and Blockchain Technology, 2024
    This chapter highlights the potential applications of blockchain technology in sustainable tourism. The concept that has been described indicates the essential potential to address a varied array of hurdles and achieve the highly sought-after goals of sustainability, as outlined in the Sustainable Development Goals (SDGs). These goals are extremely important to society and should be achieved. The disruptive power of blockchain technology will change tourism practices. It will boost local economies, streamline food supply systems, and reduce food waste. As blockchain promises to improve tourist experiences, satisfaction is another priority. It can also encourage sustainable behavior, supporting eco-tourism. Notably, the study goes beyond the obvious. It leads us to new study frontiers. These untapped avenues promise to reveal blockchain technology’s full potential in sustainable tourism.
  • Understanding the dynamics of blockchain technology and its impact on environmental sustainability in the hospitality industry
    Sunita Jatav, Rupali Gupta, Vijeta Singh
    Implementing Sustainable Development Goals in the Service Sector, 2023
    This research examines the possible contributions that blockchain technology could make to overcoming a variety of obstacles and accomplishing the objectives of sustainable tourism. Blockchain technology shows promise for the development of sustainable tourism that is aligned with the Sustainable Development Goals (SDGs). Blockchain technology has the potential to disrupt existing tourism operations, boost local economies, manage food supply chains, reduce food waste, improve tourists' satisfaction, influence sustainable behaviour, and address awareness-related concerns. In addition, this study makes suggestions for new lines of research that could be pursued in order to investigate the full potential of blockchain technology as it relates to sustainable tourism. This study covered Indian and International Cases of Multinational and Indian Companies with challenges and opportunities.
  • Job crafting and intention to stay in an organization: The mediating role of job satisfaction
    Sunita Jatav, Aparna Dixit, Vijay Kuriakose
    Effective Human Resources Management in the Multigenerational Workplace, 2023
    This study examined job crafting, work satisfaction, and service sector employee retention. Job designing affected job satisfaction and retention in service sector organizations. Task crafting, relational crafting, and cognitive crafting were found to motivate and engage employees with job crafting as the most important. Job crafting, job happiness, and employee retention are linked by research. This study used 150 form fillers picked randomly. T-tests were utilized to examine job crafting, work satisfaction, and employee retention. The results revealed a significant and robust positive association between job crafting and job satisfaction, indicating that individuals who engaged in job crafting reported higher levels of work satisfaction. Additionally, a positive relationship was observed between job satisfaction and the intention to remain within the organization. Job satisfaction was also linked to company loyalty. The study found that job crafting affected employee retention. Job creation was linked to job happiness and loyalty.
  • Does management of working capital enhance firm value? Empirical analysis of manufacturing enterprises in India
    Rupali Gupta, Sunita Jatav, Gagan Prakash
    Investment Management and Financial Innovations, 2023
    The long-term financial health of a corporation is assessed by its capacity to meet short-term financial commitments. Optimum working capital that maximizes enterprise value varies across companies. The purpose of this paper is to investigate whether Indian manufacturing enterprises’ firm values are influenced by working capital management efficiency. The data are taken from 2016 to 2022 (a seven-year period) for 223 top BSE-listed manufacturing companies. Firm value (explained variable) is proxied using Tobin’s Q, and the constituents of working capital, which include the net trade cycle, inventory period, debtors’ collection period, and creditor payment period, are taken as explanatory variables. The study also controls for any differences in firm characteristics and economic conditions by employing firm size, age, current ratio, net profit ratio, sale growth and GDP growth rate. Balanced-panel data analysis is conducted by employing a two-step generalized method of moment technique. Net trade cycle, inventory period and debtors’ collection period are found to have a strong and significant positive impact on Tobin’s Q. The findings however did not report any evidence of the significant relationship between creditor payment period and Tobin’s Q. Additionally, the outcomes also evidenced that firm value is positively impacted by company size, net profit ratio, sales growth and GDP, whereas negatively affected by firm age. This paper suggests that manufacturing firms may potentially enhance their firm value by prolonging the net trade cycle, period of inventory and lengthening the credit period to customers till the level of attainment of an optimum working capital.
  • Current trends in sustainable tourism in the Indian context
    Sunita Jatav
    Handbook of Research on Sustainable Tourism and Hotel Operations in Global Hypercompetition, 2022
    Indian tourism is rich with culture, heritage, ecology, and natural beauty across the country. The tourism sector plays a vital role for foreign exchange earnings and gross domestic product (GDP) in India. India's travel and tourism business ranks 7th internationally, contributing almost 9.6% to GDP, and is expected to rise 6.9% annually over the next decade to rank 4th. This will have a multiplier effect on India's socio-economic progress via improved infrastructure, job creation, and skill development. India was ranked 10th among 185 countries in 2019. India is a globally and digitally advanced nation in term of planning, booking, and positive experience for travel and tour. Indian middle class people's disposable income is increasing, which creates a positive impact on outbound tourism. The Indian travel market is projected to grow to US$125 billion by 2027. This study identifies best practices and the need for sustainable tourism in India's growth.
  • System to capture WiFi based Drones using IoT
    Krunal Intwala, Sunita Jatav, Kishor Kolhe
    2022 6th International Conference on Computing Communication Control and Automation Iccubea 2022, 2022
  • The role of service marketing in India with reference to the tourism industry
    Tourism Marketing A Strategic Approach, 2017