Community Driven Food Tourism and Micro-Enterprise Growth: An Empirical Assessment Enterprise Development and Microfinance, 2026
Investigating discrete structures in network algorithms for optimizing traffic flow and reducing congestion in urban areas Neha Tuli, Rajesh Phursule, Shivangi Bansal, Bhushan Marutirao Nanche, Shivanshu Katoch, Ashish Raina Journal of Discrete Mathematical Sciences and Cryptography, 2026 The common phenomenon of urban traffic congestion leads to the loss of time as well as pollution, which consequently affects the environment. We introduce here a new approach, which is called Discrete Structure – based Traffic Optimization (DSBTO), which uses network algorithms and high resolution traffic information to reduce congestion. Road network is modeled as a discrete graph, and optimization strategies are used to optimize traffic flow across the graph. In order to verify our method’s effectiveness, we use the Glasgow High-Resolution Traffic Flow Dataset, which contains fine-grained traffic measurements over several years for calibration and validation under real traffic conditions. Our approach employs DSBTO to identify significant traffic bottlenecks and identifies optimal flow modifications or control mechanisms that reduce congestion times without compromising the capacity of the network. During our method testing, we discovered that average travel times were reduced by about 15%, and network throughput increased compared to normal traffic. The findings demonstrate the potential of using granular transportation data as well as discrete optimization tools to have a favorable effect on urban traffic management. Theoretically, DSBTO might translate to improved traffic flow and reduced surge and stop congestion thus resulting to reduced emissions from vehicles in cities. The suggested system can easily be integrated into the existing traffic control infrastructure to offer data-based support process with the purpose of reducing congestion and increasing mobility.
Post-Cookie Marketing Strategies for Total Quality Management in Hospitality Mehak Jonjua, Ashish Raina Marketing Strategies for Total Quality Management in Hospitality Excellence, 2026 Digital advertising is changing a lot, especially with the decline of third-party cookies and stricter privacy rules. Present study looked into how post-cookie attribution models can work in this new privacy-focused landscape, with a special focus on hotels and service industries. The research used an interesting approach that involved testing different methods across twelve companies. They compared the traditional cookie-based models with newer techniques like using first-party data and privacy sandboxes. They wanted to see which methods were most reliable for understanding customer behavior and improving conversion rates. To get a better picture, they also conducted surveys and deep interviews with various teams—marketing, legal, and IT—to see how working together can lead to better outcomes. The results provided valuable insights on how companies can adapt their marketing strategies while respecting customer privacy. This study offers a useful roadmap for organizations as they navigate the transition to a cookieless world.
Business Technology Strategies for Decision Making and Competitive Advantage in the Hospitality Industry Varinder Singh Rana, Ashish Raina, Gaurav Bathla, Raneem Amer Business Technology Strategies for Decision Making and Competitive Advantage, 2026 In an increasingly competitive and dynamic hospitality industry, the effective use of business technology strategies (BTS) is critical for informed decision-making and achieving a sustainable competitive advantage. This research examines the relationship between BTS adoption, decision-making quality, and competitive advantage in the hospitality sector. Using Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze responses from 300 hospitality businesses in Thailand, the study finds that the strategic implementation of technology significantly enhances decision-making and improves organizational performance. The findings offer practical and theoretical implications for hoteliers seeking to modernize their operations and remain agile in a changing market landscape.
Between Freedom and Influence: Ethical Issues in Gamification of Citizen Participation Ashish Raina, Gaurav Bathla, Ranjeeta Tripathi, Himanshu Kumar, Varinder Singh Rana Addressing Urban and Spatial Challenges Through Gamification, 2026 The rise of gamification in civic engagement and urban governance presents both opportunities and ethical challenges in shaping citizen participation. While gamified systems can enhance involvement, collaboration, and transparency, they may also influence behavior in ways that undermine autonomy and informed decision-making. This chapter examines ethical concerns arising from the intersection of game-based mechanisms with democratic principles, highlighting how reward structures, competitive dynamics, and algorithmic designs can direct choices or privilege certain groups. It also considers responsible applications that empower communities, promote inclusivity, and foster shared responsibility. Issues of consent, fairness, data privacy, and long-term social impact are analyzed through case studies and emerging frameworks. Ultimately, the chapter advocates for ethical design principles that protect citizen autonomy while harnessing gamification's motivational potential to strengthen participatory democracy.
Ethical Marketing Practices and Challenges in Medical Tourism Gaurav Bathla, Ranjeeta Tripathi, Ashish Raina, Garima Malik, Varinder Singh Rana Marketing Mental Wellness in Medical Tourism, 2026 Medical tourism has emerged as a significant global phenomenon, driven by rising healthcare costs, long waiting times, and the pursuit of advanced yet affordable treatments abroad. While marketing is indispensable in positioning destinations and providers, it simultaneously generates complex ethical challenges. Promotional strategies often exaggerate success rates, obscure potential risks and underrepresent post-treatment responsibilities, thereby creating asymmetries of information and undermining informed consent. Healthcare commodification and digital intermediaries prioritize revenue over patient welfare, heightening risks of misinformation, privacy breaches and weak accountability. Ethical marketing in this context is not merely a normative obligation but a strategic necessity for fostering trust, credibility and sustainability. This chapter explores ethical dilemmas in medical tourism marketing and proposes a framework to align promotion with integrity, equity and sustainability.
Strategic Use of Social Media Platforms in Hotel Marketing Ashish Raina, Dharna Shukla, Gaurav Bathla, Bharat Bhushan, Richa Verma, Varinder Singh Rana Integrating Social Media Tools into Hotel Operations and Marketing, 2026 Social media has become a vital marketing tool in the hotel industry, transforming how hotels connect with guests. This study explores the strategic use of major platforms Facebook, Instagram, YouTube, LinkedIn and Twitter to enhance brand visibility, engage audiences, and increase direct bookings. Based on literature review and industry insights it focuses on key factors such as user-generated content, influencer marketing, visual storytelling and real-time interaction. Findings show that authentic guest reviews and visual content strongly influence booking decisions often more than traditional advertising. Professional photos, short videos and collaborations with travel influencers help hotels showcase unique features and build credibility among diverse audiences. However, challenges like data privacy, security and managing negative reviews demand effective risk and crisis management.
DEEPFAKE DETECTION AND MANAGEMENT IN VISUAL ARTS Abhijeet Panigra, Sucheta Kanchi, Divya Sharma, Hemal Thakker, Shubhansh Bansal, Ashish Raina Shodhkosh Journal of Visual and Performing Arts, 2025 The DeepFake tech has had a theatrical impact on the visual arts, not only the provision of creative technology, but also the question of authenticity, copyright and misinformation. The deep learning and generative adversarial networks (GANs) produce deepfakes artificial images, which are extremely harmful to art. The article discusses the DeepFake detection and management within visual art work with emphasis on the practical application of analysis through multiple-layered approaches that would assist in ensuring the presence of the digital authenticity. DeepFake was managed through three core approaches, namely AI-Based Detection Frameworks, Blockchain-Based Authentication System, and Human-AI Collaborative Review Models. The decentralized strategy was based on blockchain technology, which was the Non-Fungible Token (NFT) registration by the cryptographic hashing to authenticate the provenance and ownership of the artworks. The human-AI composite system has integrated the inspection of the specialists on the visual level with the automatic monitoring of the anomalies to increase the readability and reduce the number of false alarms. The experiment revealed that the AI-based systems, blockchain approaches, and the collusion between human beings and AI detected 92.3, 87.6 and 94.1 % of people respectively. These findings suggest that the incorporation of algorithmic intelligence, a safe check, and human knowledge can help in quite a powerful DeepFake verification and management in the field of visual arts.
Mechanical AI and customer perception: A study on hospitality aspirants Artificial Intelligence for Smart Technology in the Hospitality and Tourism Industry, 2024
