Volume 13 | Issue 6 |

 Abstract

The hospitality industry's ongoing digital transformation is driving the rapid adoption of complex, multi-vendor technology ecosystems. This increasing reliance on diverse third-party systems introduces significant security, integration, and compliance challenges. Traditional DevOps practices often fall short in managing the security risks associated with these heterogeneous environments. This review proposes and evaluates a tailored DevSecOps framework specifically designed for multi-vendor hospitality technology ecosystems. Drawing on over a decade of research, case studies, and recent innovations, the paper outlines a theoretical model, experimental validation, and comparative performance metrics. Key improvements observed include faster vulnerability detection, reduced compliance violations, and enhanced operational resilience. The review concludes by identifying future research directions that focus on AI-driven security automation, policy standardization across vendors, and industry-wide collaboration. These contributions aim to guide researchers and practitioners in securing digital hospitality infrastructures through adaptive and scalable DevSecOps practices.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

DevSecOps; Multi-Vendor Ecosystems; Hospitality Technology; Cybersecurity; Security Automation; CI/CD; Compliance; Threat Intelligence; Digital Transformation; Software Security.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

As clinical trials continue to expand in complexity, scale, and digital transformation, the role of data management Standard Operating Procedures (SOPs) has become more crucial than ever. SOPs serve as the backbone of trial conduct, ensuring consistent data processes, regulatory compliance, and high-quality outputs across diverse trial settings. This review presents a comprehensive synthesis of literature related to SOP development, highlights frameworks and experimental findings, and proposes a theoretical model for SOP standardization. Key performance data indicates that harmonized SOPs significantly enhance data integrity, protocol adherence, and audit readiness. Additionally, we explore how technological advancements--especially artificial intelligence and decentralized trials--are reshaping SOP paradigms. By critically evaluating current practices and emerging trends, this article provides practical and strategic insights into the future of SOPs in clinical trial data management.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Clinical Trials; Data Management; Standard Operating Procedures; Regulatory Compliance; SOP Standardization; Clinical Trial Efficiency; Quality Management; Decentralized Trials; Artificial Intelligence in Trials

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The rapid adoption of cloud computing has transformed enterprise IT, but it has also introduced complex security challenges that traditional perimeter-based models cannot adequately address. Zero Trust Security Models (ZTSM) have emerged as a robust framework to mitigate these risks by enforcing the principle of "never trust, always verify." This review examines the foundational principles, architectural components, and practical implementations of Zero Trust in cloud environments. It explores how identity-centric access controls, microsegmentation, and continuous monitoring fortify cloud applications against modern threats. Additionally, the paper analyzes the role of major cloud providers in enabling Zero Trust and reviews real-world case studies from regulated sectors such as finance and healthcare. Emerging trends such as AI-driven trust assessments and decentralized identities are also discussed. The paper concludes by highlighting the challenges and future research directions critical for advancing Zero Trust adoption in scalable, multi-cloud ecosystems..

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Zero Trust Architecture (ZTA), Cloud Security, Identity and Access Management (IAM), Microsegmentation, Continuous Monitoring, Multi-Cloud Security

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The rapid digitization of financial services has transformed retail banking into a predominantly mobile and data-centric experience. As consumer expectations evolve and competition from FinTech intensifies, retail banks are under mounting pressure to enhance customer experience while simultaneously improving operational efficiency. This review proposes a novel framework--the Intelligent Retail Banking Ecosystem (IRBE)--that unites front-end personalization with back-end process automation. Drawing upon insights from more than thirty academic and industry sources, this paper critically evaluates existing models such as UTAUT, SERVQUAL, and task-technology fit, highlighting their limitations in addressing the dual priorities of user engagement and institutional optimization. The IRBE framework leverages real-time behavioral analytics, AI-powered automation, and open API infrastructure to create adaptive, personalized, and efficient digital banking ecosystems. Through comparative analysis and practical case studies (e.g., ING, DBS, JPMorgan Chase), this review demonstrates the IRBE model's superior predictive performance in areas like user retention, transactional accuracy, and cross-sell optimization. The study also discusses implications for industry practitioners and policymakers, advocating for supportive regulation, ethical AI use, and inclusive digital access. Ultimately, this research provides a forward-looking theoretical foundation for future academic inquiries and practical innovations in digital banking, positioning IRBE as a transformative tool for intelligent financial service delivery.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Retail banking applications; customer experience; operational efficiency; financial technology (FinTech); digital transformation; behavioral analytics; artificial intelligence (AI); service-dominant logic; intelligent ecosystems; open banking; IRBE model; personalization; automation.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This review provides a comprehensive synthesis of automation strategies used in managing product data and generating sales quotations, with a focus on developments over the past decade. The study explores the integration of technologies such as artificial intelligence (AI), machine learning (ML), robotic process automation (RPA), and natural language processing (NLP) into Configure-Price-Quote (CPQ) systems. A theoretical model is proposed and validated through experimental data from recent case studies, highlighting significant improvements in quotation cycle time, accuracy, and customer satisfaction. The review also identifies current research gaps and outlines future directions in areas such as contextual AI, federated learning, explainability, and IoT integration. Overall, this paper underscores the transformative potential of intelligent automation in redefining how businesses handle product data and quotation workflows in real time.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Automation, Sales Quotation, Product Data Management, CPQ, Artificial Intelligence, Machine Learning, NLP, Robotic Process Automation, Digital Transformation, Enterprise Systems

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Mathematics and philosophy have a complex relationship, with both seeking to examine and resolve the essence of reality through logic, reasoning, and abstract thought. Mathematics offers a universal language for modelling the physical world, quantifying infinities, and exploring theoretical possibilities, whereas philosophy investigates the underlying assumptions, implications, and interpretations of these mathematical structures. Philosophy provides the conceptual frameworks for abstract reasoning. Together, these disciplines have moulded major areas like as metaphysics, epistemology, logic and ethics, and have had a significant impact on the evolution of human thought and understanding of the world. This paper investigates the linked roles of mathematics and philosophy, tracing their historical roots, assessing their contributions to diverse philosophical fields and highlighting their continuing impact in the contemporary era.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Mathematics, Philosophy, Logic, Infinity, Reality, Epistemology, Ontology, Godel, Paradoxes, Axioms, Non-Euclidean Geometry, Set Theory, Cosmology, Artificial Intelligence, Abstract Thought

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Paper a systematic approach to using Power BI for retail store sales analysis, emphasizing the importance of data visualization in understanding sales performance, trends, and customer preferences. It includes insights on monthly sales trends, highlighting fluctuations and peaks in certain months, which aids in forecasting and inventory planning. The sales breakdown by retailer reveals varying contributions from different outlets, identifying top performers and opportunities for improvement. Regional sales distribution is analyzed, with New York showing significant contributions. Additionally, product insights detail sales volumes by beverage brands and cities, guiding marketing and inventory strategies. The methodology involves comprehensive data gathering, cleansing, and analysis to create an interactive Power BI dashboard that displays key metrics and allows for real-time insights. The document also suggests future enhancements for predictive analytics and emphasizes the need for cross-disciplinary research in retail analytics. Overall, it aims to provide a comprehensive view of trends and best practices in retail sales analysis.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Business Analytics, Power BI, Sales Analysis

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Social media platforms like Facebook and Instagram have become integral to youth communication, self-expression, and identity formation in the contemporary digital landscape. While these platforms offer avenues for creativity, networking, and information dissemination, they also foster validation-seeking behaviours driven by likes, shares, comments, and followers. This study, focusing on Facebook and Instagram usage patterns, explores the relationship between social media literacy and validation-seeking behaviour among youth. Social media literacy is increasingly recognised as a critical subdomain within the broader media literacy framework, encompassing the specific skills and competencies required to critically navigate, evaluate, and engage with content across social networking platforms. How young individuals perceive and interact with online content, peer feedback, and algorithmic visibility is crucial. Using a mixed-methods approach combining quantitative survey data and qualitative insights, the study investigates how varying levels of media literacy influence validation-seeking tendencies and emotional dependencies on social approval via social platforms. The research aims to provide empirical evidence to support interventions that foster healthier digital practices among youth.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Media Literacy, Validation-Seeking Behaviour, Youth, Facebook, Instagram, Digital Literacy, Online Identity, Social Media Engagement, Digital Well-being

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

ABSTRACT Plant fungal diseases significantly impact the yield and quality of oilseed crops in India, with Alternaria blight and related pathogens causing up to 70% yield losses. Chemical fungicides, though effective, are beset with issues such as resistance development, environmental persistence, and food safety concerns. In response, research has focused on the bio-fungicidal properties of locally available plant extracts--particularly garlic (Allium sativum), neem (Azadirachta indica), ginger (Zingiber officinale), NSKE (Neem Seed Kernel Extract), and Alstonia scholaris--aimed at sustainable disease management. This paper investigates their efficacy against fungal pathogens in Indian mustard and related oilseeds through in vitro and in vivo experiments, comparing findings to standard fungicides and biocontrol agents. The results indicate that garlic and neem extracts, especially when applied as combined seed and foliar treatments, offer disease suppression and yield improvements comparable to synthetic fungicides, presenting a viable option for integrated pest management.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Biofungicides, plant extracts, fungal diseases, oilseed crops, disease management.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Entrepreneurship can help in economic development, enhance innovation and foster creativity which will increase nation's GDP and create employment. In India with a large number of unemployed, creating entrepreneurial eco-system will help in employment generation and reduce income inequalities. Objectives: Author tries to explore role of business incubation centres (BICs) in fostering entrepreneurship and nurturing early-stage startups. Author also investigates role of incubators (such as mentorship, infrastructure, funding, and training) in creating entrepreneurial mindset, startup creating motivations, and innovation skills in learners. Methodology: The study is qualitative in nature reviewing journal articles on the topic in question. The author critically analyse each empirical paper to find out trends and themes. Mostly, secondary data is used only one or two sources are primary in nature. Secondary data was used in analysing startup ecosystem, government policies, and funding mechanisms of incubators. Discussion: The findings of the study is divided into five core themes: Role of Government, Incubators nurturing Startups, University-based Incubators, Atal Incubation Mission (AIM), Performance & Scope of Incubators. The themes are based on findings from empirical papers.. Significance: The Indian government has a mind set to promote startups through initiatives like Startup India, the Atal Innovation Mission (AIM), and the creation of Atal Incubation Centres (AICs). This study is significant in pointing out the role of incubators in producing next generation entrepreneurs.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Atal Innovation Mission, Atal Incubation Centre, Entrepreneurship, Business Incubators, Ecosystem, Start-ups, University

  License

Creative Commons Attribution 4.0 and The Open Definition