ajay.karanjia95@gmail.com

The deregulation of petroleum prices in India has introduced daily fuel price variations, aligning with international market changes. This study investigates the perceptions of petrol pump owners towards daily fuel price fluctuations in Malappuram District, exploring the implications of this policy on pump operations and customer behaviour. A mixed-methods approach was employed, combining primary and secondary data from 50 petrol pump operators. The results reveal a significant negative relationship between daily price variations and customer numbers, indicating that increased price fluctuations lead to decreased customer purchases. Petrol pump owners face challenges in managing daily price changes, affecting their cash flow, inventory, and profitability. The study suggests implementing fuel price optimization strategies, improving customer communication, and exploring government support options to mitigate these challenges. This research contributes to the existing literature on petroleum price deregulation and provides insights for policymakers, industry stakeholders, and future researchers.

This research aims to enhance airport infrastructure development in Croatia by focusing on the establishment of a training and school airport near Šibenik, integrating modern design principles and addressing functional needs to support aviation education and training while promoting regional economic growth. This chapter focuses on the theoretical characteristics of project management throughout the project cycle, emphasizing their relevance to the sustainable development of airport infrastructure within the context of transport economics. The case study of an airport near Sibenik serves as a critical foundation for proposing a universal model that integrates airport infrastructure, project management, and metrological steps for integration. Key elements such as legal frameworks governing air transport development are evaluated to ensure the model’s applicability and effectiveness within the Croatian air transport system, demonstrating its potential as a viable approach for enhancing sustainable airport operations.

Conducting an economic analysis and assessment for the establishment of an aerodrome near šibenik requires evaluating various factors, including regional demand for air travel, potential economic impact on local tourism and commerce, accessibility to transportation networks, and environmental considerations. A cost-benefit analysis should assess initial infrastructure investments versus long-term economic growth, job creation, and increased connectivity for business and leisure travelers. Additionally, examining competitive advantages over existing airports, potential partnerships with local government, and stakeholder engagement is crucial. Ultimately, a well-rounded feasibility study will inform decision-making and drive strategic planning for the aerodrome’s successful integration into the šibenik region.

Sustainable development is a crucial concept that emphasizes the need for growth that meets present needs without compromising the ability of future generations to meet their own, integrating societal, economic, and political dimensions. The importance of this approach is underscored by the need for environmental valuation and assessment, particularly in sectors like air traffic, where infrastructure development can significantly impact sustainability. Existing literature in transport economics, especially concerning optimal airport infrastructure development, is limited, highlighting the necessity for comprehensive research in this area. This doctoral dissertation aims to fill this gap by exploring sustainable practices and innovative models that can guide the development of air traffic infrastructure within the framework of sustainable development principles.

The Pradhan Mantri Jan Dhan Yojana (PMJDY) was launched as a national mission in August 2014 with the aims to connect every household of the country with the banking system. It was observed that after more than 67 years of independence, a large section of unprivileged and marginalised sections of society in India was not connected to formal banking. These households have no bank account in any of the bank. Therefore, the Government of India initiated this scheme to bring those households in the orbit of PMJDY who were out of purview of banking system. The main objective of PMJDY is to help citizens to receive banking services such as deposits and savings, credit, pension and insurance, ATMs services at a reasonable cost in their respective area. It was also aimed to make these sections economically empowered through banking system by opening new bank account for financial inclusion.
This study examines the progress and impact in Rajasthan along with main provisions and benefit of PMJDY. Banking literacy, financial inclusion and economic empowerment have been key indicators for impact assessment of the beneficiaries from PMJDY have also been evaluated in the study.

In consequence, the idea of resurrecting the Indian traditional handicraft through e-commerce and global circuits has revolutionized the handicraft industry and secured business viability for artisans. Handmade traditions of Indian fabrics, pottery, metals and woods formed a strong history which has had problems like falling customers, an influx of the industrial and machinery products and shrinking number of artisans. However, recent mega online markets such as Amazon, Etsy, E-tails, and exclusive Indian sites, etc., are helping small artisan groups to straight away through their products to the international markets without involving several middlemen and retrieving actual prices a bit. Schemes like Make in India, Vocal for Local, and One District One Product (ODOP) are helping to teach local artefacts to the world. Increasingly, traditional marketing approaches are complemented with social media and modern techniques help bring particular attention to artisans and their creations. However, illustrating these opportunities, digital literacy, logistic issues, control over product quality, and fair-trade practices still pose a huge problem. Drawing from the case of e-commerce, trade policies and interventionist measures in this paper, the author looks at how the artistry can have a sustainable environment in Tanzania. This exposes the weakness in skill development, fund and infrastructure for handcrafted product industries in India for a sustainable future in the IT enhanced global market.

Customer Relationship Management (CRM) has become a cornerstone of strategic customer engagement and revenue optimization in the tourism sector. This study explores the effectiveness of CRM strategies in Maharashtra’s tourism industry, analyzing their impact on customer satisfaction, retention, and financial performance. A quantitative research approach was employed, collecting data from 600 tourism professionals across four major districts—Mumbai, Pune, Aurangabad, and Nashik. Statistical analyses, including correlation matrices, multiple regression models, and factor analysis, reveal that CRM adoption significantly influences operational efficiency (r = 0.991) and customer retention (r = 0.997). AI-driven automation (r = 0.858) and marketing automation (r = 0.972) enhance engagement, while data security (r = -0.075) and customer engagement (r = -0.229) show weaker direct correlations with revenue growth. Factor analysis highlights four key CRM dimensions: Customer-Centric CRM, Loyalty-Driven CRM, Revenue-Centric CRM, and AI-Integrated CRM, each contributing uniquely to tourism business sustainability. The findings underscore the necessity for a balanced, AI-driven CRM strategy integrating personalization, retention mechanisms, and data-driven decision-making to optimize customer experiences and maximize financial outcomes in Maharashtra’s tourism sector.

This study examines the evolving role of Non-Resident Indians (NRIs) in India’s economic, social, and technological development. It explores NRI contributions through remittances, foreign investments, and entrepreneurship, highlighting their impact on key sectors such as real estate, education, and healthcare. The paper delves into policy frameworks governing NRI engagement and assesses challenges like taxation, dual citizenship, and bureaucratic hurdles. Case studies illustrate successful NRI-driven initiatives in business and philanthropy. The research also investigates brain drain versus brain gain dynamics, emphasizing knowledge transfer and global networking. Emerging digital platforms have facilitated stronger diaspora ties, fostering innovation and cultural exchange. Comparative analysis with other diaspora communities sheds light on best practices for maximizing NRI potential. The study suggests policy recommendations for enhancing NRI participation in nation-building. It underscores the need for inclusive policies that recognize NRIs as strategic partners in India’s progress. The findings contribute to a deeper understanding of transnational ties and their implications for India’s growth trajectory.

Digital banking fraud detection is a dynamic issue because of the nature and sheer number of transactions. Conventional machine learning-based models tend to be challenged with high-dimensional input, real-time processing, and dynamic patterns in fraud. We address these drawbacks by introducing the Graph-Enhanced Transformer Network (GETNet), a mixed deep learning approach combining Graph Neural Networks (GNNs) and Transformer self-attention-based mechanisms for better fraud detection. GETNet identifies transaction relationships through GNNs and uses Transformers for sequential anomaly detection. Experimental results on the PaySim dataset show that GETNet is 99.5% accurate, far superior to traditional approaches like Decision Trees, Support Vector Machines, and Naïve Bayes. The model ensures scalability, flexibility, and real-time detection, which makes it a strong candidate for contemporary banking fraud detection.

More than ever, the healthcare industry witnesses a remarkable transformation with cloud computing becoming a new data-driven era involving healthcare delivery. However, existing methodologies lean heavily on classical encryption algorithms but will alter with emerging and new security threats. This work lies the exhibition of a new paradigm involving NTRU, (N-th degree truncated polynomial ring units), a post-quantum key generation method, and salsa20 for fast data encryption. The entire process involves the generation of keys from the NTRU polynomial-based private-public key pairs and the actual encryption of data using the salsa20 keystream in order for secure data storage inside the cloud environment. The encrypted data is uploaded to the cloud, and decryption is carried out by the authorized receivers using the complete key and the nonce. Results indicated a relationship between the cryptographic processing time, which gradually increased from 2200 ms for a 75-bit key to 3500 ms for a 250-bit key. Further, encryption time went from 2000 ms for a 50-bit key to 16,000 ms for a 300-bit key, while decryption time was observed between 10 ms for a 500-bit key and over 700 ms for a 3500-bit key. Thus, it provides extra strength against quantum attacks yet also balances the performance and makes it viable for future healthcare data protection.