Poornaprajna International Journal of Emerging Technologies (PIJET)
Journal Title: Poornaprajna International Journal of Emerging Technologies (PIJET) Journal Initial: International - Multidisciplinary (Poornaprajna Publication) Journal Abbreviation: PIJET E-ISSN: 3107-8486 Crossref DOI: 10.64818/PIJPL.3107.8486 Publisher Contact: Poornaprajna Institute of Management, Managed by Udupi Shree Adamaru Matha Education Council, Volakkadu, Udupi - 576101, Karnataka, India Email: contact@poornaprajnapublication.com Country: India Journal Description: Poornaprajna International Journal of Emerging Technologies (PIJET) Country of Publication: India Publisher: Poornaprajna Institute of Management Format: Open Access Year of Start: 2024 Indexing and Available from: Google Scholar Frequency: 2 Issues per year Language: English Scope: Multidisciplinary in Emerging Technologies Article Processing Charge: Free Types of Journal: Academic/ Scholarly Journal Open Access: Yes Indexed & Abstracted: Yes Policy: Double blinded Peer Review Publication Ethics: Editorial Ethics Policy Review Time: Six to Eight Weeks Approximately Contact & Submission Email: contact@poornaprajnapublication.com Poornaprajna International Journal of Emerging Technologies (PIJET) with E-ISSN: 3107-8486 is an online, not-for-profit, Poornaprajna Group, Udupi sponsored free publication, blind peer-reviewed, open-access, bi-annual, but continuous weekly uploading of accepted papers, plagiarism-free, refereed research journal published by Poornaprajna Institute of Management, Udupi, India. PIJET offers free publication opportunity to its authors, allows to keep Copyright of the scholarly paper with the authors. It provides a global author-centric publishing platform for Professors, Research scholars, academicians, professionals, and students engaged in Research. The main aim of PIJET is to become the world’s leading Author-Centred fast publication journal that is preferred and trusted by the research community through publishing authentic, peer-reviewed, and scientifically developed research articles of international calibre. PIJET publishes research papers in the field of Emerging Technologies including Information Technology and Nanotechnology. The Journal publishes scholarly articles in English. PIJET accepts exceptional research contribution from the authors in the form of original papers, review papers, conceptual framework, analytical and simulation models, case studies, empirical research, and technical notes. All submissions are also checked for plagiarism. The length of the manuscript must be between five (5) to fifty (50) journal pages excluding references. The journal follows the |C|O|P|E| (Committee on Publication Ethics) guidance while accepting scholarly papers for publication. The Article Processing Charge (APC) subsidized for Faculty Members, Students and Research Scholars of Poornaprajna Group by its Research Fund.
Confluence of Mind and Machine: Exploratory Analysis of Human Agency and Ethical Governance at Nexus of Brain-Computer Interface and Superintelligent AI-Machines
Purpose: The parallel advancements in Brain-Computer Interfaces (BCIs) and Artificial Intelligence (AI) are rapidly creating a new paradigm of human-technology interaction. While much scholarship exists on the technological singularity and superintelligent machines in isolation, and on BCIs as medical devices, a significant gap exists in understanding their convergent impact. This research seeks to address this gap by qualitatively exploring a critical question: As BCIs become the primary interface between human cognition and a potentially superintelligent digital ecosystem, how will human agency, identity, and social structure be transformed, and what novel frameworks of ethical governance will be required? Methodology: This topic moves beyond purely technological forecasting to investigate the profound socio-philosophical implications of this convergence, making it ideal for a qualitative, scholarly inquiry. Using the exploratory research method, the relevant information is collected using keywords through search engines like Google, Google Scholar, AI-driven GPTs, and the collected information is analysed as per the objectives of the paper. Analysis: Based on a structured SWOC and ABCD analysis, the convergence of BCI and superintelligent AI presents a dual-edged future of immense potential benefits, such as eradicating disease and augmenting human cognition, alongside profound risks like existential threats from misaligned AI and the erosion of human autonomy. The analysis identifies key challenges, including irreversible social inequality, loss of mental privacy, and the potential devaluation of human purpose. Predictive scenario building outlines three plausible futures—Symbiotic Harmony, Gilded Cage, and Volatile Partnership—highlighting that the ultimate outcome depends on solving critical issues of AI alignment and establishing robust ethical governance. Originality/Value: This paper provides a novel integrated analysis of the convergent impacts of Brain-Computer Interfaces (BCI) and superintelligent AI, a topic previously examined only in isolated disciplinary silos. Its originality lies in applying structured qualitative frameworks (SWOC and ABCD) to systematically explore emergent risks to human agency and identity, while proposing proactive ethical governance models tailored to this hybrid technological future. Type of Paper: Review & Analysis-based exploratory Research.
Ubiquitous Digital University as an Alternative to the Traditional Higher Education Model to Develop an Ideal Education System
Purpose: The paper aims to explore and advocate for the transformative potential of ubiquitous digital universities in reshaping the landscape of higher education. By meticulously examining the features, functions, and business models of digital universities alongside an in-depth evaluation of their potential as an alternative to traditional education models, this research endeavours to offer insights into the development of an ideal education system. Through comprehensive analysis, it is essential to highlight the advantages, challenges, and opportunities inherent in ubiquitous digital universities, aiming to pave the way for a more accessible, flexible, and inclusive approach to education in the digital age. Methodology: Exploratory research method is used to analyse and evaluate the collected information from various sources, including Google, Google Scholar, HEIs websites, and AI-driven GPTs using identified keywords. Results & Findings: The results of these analyses are interpreted as new knowledge and presented in the form of postulates for future reference. Originality/Value: The paper compares conventional campus-based universities with digital universities and ubiquitous digital universities. The features of the ubiquitous digital university are also compared with the characteristics of an ideal education system. Both SWOC and ABCD analysis frameworks are used to analyse and evaluate these systems. The findings are summarized in the form of postulates for future reference. It is found that the technology-based progress in the university system takes it toward a hypothetical ideal education system. Type of Paper: Exploratory Research.
Mandala Principle in Artificial Intelligence: A Framework for Social Knowledge Preservation, Management, and Transfer in Learning Systems
Purpose: This study explores the Mandala principle as a philosophical and structural framework for knowledge transformation and transfer in social learning systems. It aims to investigate how ancient Mandala philosophy can inform the design of Artificial Intelligence-based Social Learning Management Systems (SLMS) to preserve, manage, and transfer social knowledge across generations and cultures. Methods: The research involves a conceptual analysis of the Mandala philosophy, rooted in social customs, traditions, and Vedic scriptures, examining its applicability to modern learning ecosystems. It synthesizes the philosophy’s principles with AI-driven social knowledge frameworks, proposing a Mandala-based SLMS model to organize knowledge, facilitate learning, and enhance social connectivity. Findings: The Mandala, beyond being a cultural or religious symbol, serves as a philosophical tool and "Resource Tank" for the transfer of social values, knowledge, consciousness, and behavior. The fundamental Mandala shapes individual thought and worldview from birth, dynamically evolving through experiences, technology, and social inputs in a structured, meaningful space. Utilizing this framework in AI systems fosters holistic knowledge preservation and effective social learning processes. Conclusion: Integrating the Mandala principle with AI-driven social learning platforms creates a novel framework for sustaining and transferring social knowledge and values. This approach provides a culturally grounded, dynamic system adaptable to evolving learning needs and societal contexts, supporting lifelong learning and social cohesion. Originality: This study uniquely bridges ancient Mandala philosophy with contemporary Artificial Intelligence applications in social learning management. It introduces the concept of a Mandala-based Social Learning Management System that emphasizes cultural philosophy and knowledge ecosystems as integral to AI-driven learning technologies, a perspective not extensively explored in existing literature. Type of Paper: Exploratory research.
social learning management system (SLMS)
Disruptive Innovations using Tech-Business Analytics in the Quaternary Industry Sector
Purpose: Tech-business analytics are used in the quaternary industry sector for disruptive innovations for a number of reasons. In essence, disruptive innovations in the quaternary industry sector that make use of tech-business analytics aim to alter how companies operate, compete, and deliver value; this will eventually lead to improved results and long-term success. Design/Methodology/Approach: Companies operating in the quaternary sector can create new value propositions, challenge established processes, and obtain a long-term competitive edge by utilizing tech-business analytics. In this industry, disruptive ideas that use tech-business analytics are usually executed in this way. Findings/Result: When tech-business analytics are used in the quaternary industry, disruptive breakthroughs typically have a number of notable repercussions. According to these findings, disruptive innovations that use tech-business analytics have a considerable positive impact on the overall company performance, customer happiness, and operational efficiency of the quaternary industry sector. Originality/Value: The disruptive developments in the quaternary industry sector that use tech-business analytics are distinctive due to a number of significant features. These characteristics show that disruptive innovations that use tech-business analytics are not just improvements on existing practices, but are more like new techniques that create value and establish new industry standards.
Disruptive Innovations using Tech-Business Analytics in the Secondary Industry Sector
Purpose: The principal objective is to revolutionize conventional manufacturing and production procedures by utilizing cutting-edge technologies and insights derived from data. In the secondary sector, the incorporation of tech-business analytics promotes competitive advantage, long-term sustainability, and more intelligent decision-making. Design/Methodology/Approach: Collect information from a range of sources, including sensors, IoT devices, ERP systems, and consumer reviews in production processes. Combine information from several systems and departments into a single platform to guarantee consistency and accuracy in analysis. Utilize methods like AIML, predictive analytics etc. monitoring to spot trends, inefficiencies, and opportunities. Utilize insights to create innovative solutions that go against the grain, such automated processes, smart factories, or customized production lines. Prior to full implementation, test new models or technologies on a small scale to assess their viability, performance, and return on investment. Successful innovations should be expanded throughout operations, integrated with current systems, and staff members should be trained for adoption. Create feedback loops with analytics to track results and keep improving procedures and inventions. This methodology aligns technology with secondary sector business objectives and guarantees that disruption is data-driven, strategic, and sustained. Findings/Result: Predictive maintenance and automation greatly cut down on resource waste and downtime. Budget allocation is enhanced and production expenses are reduced through data-driven decision-making. Faster defect detection and repair are made possible by real-time analytics. Agile manufacturing techniques provide more rapid reaction to market demands. Businesses that use tech-business analytics do better in terms of innovation and agility than traditional players. Energy-efficient and environmentally friendly activities are enhanced by intelligent resource management. Originality/Value: Tech-business analytics-based disruptive developments in the secondary industrial sector are distinctive due to a number of significant variables. These characteristics show that disruptive innovations that use tech-business analytics are not just improvements on existing practices, but are, in fact, new techniques that create value and establish new industry norms. Type of Paper: Exploratory Research.
Blockchain-Based Attendance System Using Hyperledger Fabric 2.5 And Ubuntu 24.04
Purpose: The purpose of this research is to design and implement a secure, transparent, and tamper-proof attendance management system using blockchain technology, specifically leveraging Hyperledger Fabric 2.5 deployed on Ubuntu 24.04. The paper aims to demonstrate how blockchain can efficiently replace traditional attendance systems by providing enhanced reliability, integrity, and auditability. Through practical implementation, the study evaluates performance, ease of use, and scalability, offering insights into blockchain's applicability in educational institutions and workplaces to mitigate common issues associated with traditional attendance tracking methods, such as data tampering, inefficiency, and lack of trust. Methodology: The methodology involves deploying a blockchain-based attendance system using Hyperledger Fabric 2.5 on Ubuntu 24.04. It includes requirements analysis, blockchain network setup, smart contract (chain code) development, and frontend-backend integration using React.js and Node.js. This is followed by rigorous functional and performance testing to ensure transparency, security, scalability, and overall system robustness. Result/Analysis: The analysis of the blockchain-based attendance system demonstrated significant improvements in data security, transparency, and efficiency compared to traditional attendance methods. Transactions executed reliably, achieving an average throughput of approximately 200 transactions per second with minimal latency, validating the scalability of Hyperledger Fabric 2.5 on Ubuntu 24.04. The use of cryptographic certificates ensured robust security, preventing unauthorized access and data manipulation. Additionally, integration of a React.js frontend provided user-friendly interaction, enhancing usability. Performance tests confirmed efficient resource utilization, maintaining stable CPU and memory consumption under varying workloads. Overall, results indicate the system's feasibility for reliable, secure, and scalable attendance management. Originality/Values: This study uniquely integrates Hyperledger Fabric 2.5 with Ubuntu 24.04, creating a practical, secure, and transparent blockchain-based attendance solution. Its originality lies in demonstrating real-world applicability, comprehensive performance evaluation, and detailed system integration insights, contributing valuable knowledge for institutions seeking innovative, decentralized, and efficient alternatives to traditional attendance tracking systems. Type of Research: Experimental-based Research.
Company Analysis of OpenAI with Special Emphasis on its Future Strategies
Purpose: This company analysis paper aims to provide a comprehensive, research-driven evaluation of OpenAI as a pioneering artificial intelligence company influencing the global IT and ITES sectors. Through applying analytical frameworks like SWOC, ABCD, and PESTLE, the paper critically examines OpenAI’s strategic strengths, industry challenges, and innovation-driven growth. It aims to inform and guide stakeholders—including policymakers, investors, and researchers—by offering insights into OpenAI’s current positioning, ethical implications, and future directions for sustainable and inclusive technological advancement. Methodology: This study employs an exploratory qualitative research approach to gather and analyze relevant information sourced through keyword-based searches using Google Search, Google Scholar, and AI-driven GPT models. The collected data is then systematically analyzed and interpreted in alignment with the study's objectives. Results/Analysis: This comprehensive analysis offers insights into OpenAI’s product ecosystem, emphasizing ChatGPT’s capabilities, applications, ethical implications, and societal contributions. The detailed analysis highlights critical aspects of OpenAI’s financial performance, revenue strategies, funding sources, and economic sustainability, presenting a nuanced view of its current market position and future strategic challenges. Further, a detailed analysis of financial performance indicators, revenue streams, funding sources, and economic viability of OpenAI’s business model are presented. The analysis also provides an in-depth understanding of OpenAI’s human resource development and retention strategies, highlighting scholarly insights and industry practices shaping the company's talent management approach. The analysis of OpenAI’s technology development and adoption strategies provides a comprehensive view of its innovation methodologies, market penetration tactics, and scholarly perspectives on its strategic initiatives. OpenAI’s significant ethical and regulatory challenges illustrate the importance of responsible governance, compliance management, and societal accountability in AI development and deployment. A comprehensive analysis of OpenAI, derived from SWOC, ABCD, and PESTLE frameworks, highlights critical insights and strategic implications for the company's future growth and sustainability. Originality/Value: The detailed SWOC analysis provides a balanced perspective on OpenAI’s ChatGPT, highlighting critical strengths contributing to its market leadership and notable weaknesses requiring strategic attention along with opportunities and Challenges. Results of ABCD stakeholders’ analysis and PESTL analysis for a Company from business expansion & strategic investment points of view are presented along with few suggestions for future actions. Type of Paper: Exploratory Research Case Study.
Digital Dharma: Translating Upanishadic Wisdom for the Age of Social Media
Purpose: In an era dominated by social media, digital distractions, and information overload, the ancient teachings of the Upanishads offer timeless wisdom for cultivating self-awareness, detachment, and inner peace. This paper explores how core Upanishadic concepts such as Ātman (self-realization), Vairagya (detachment), and Shanti (inner tranquillity) can be adapted to address the mental health challenges and identity crises exacerbated by the digital age. By examining the psychological impacts of constant connectivity, comparison culture, and digital addiction, the study investigates how Upanishadic practices like mindfulness, introspection, and self-inquiry (Atma Vichara) can foster mental well-being and authentic living in the modern world. Methodology: In this paper, the exploratory qualitative research method is used. The relevant information is collected using keyword-based search in Google search engine, Google Scholar search engine, and AI-driven GPTs. This information is analysed and interpreted as per the objectives of the paper. Analysis/ Results: Ultimately, by integrating ancient wisdom with contemporary digital lifestyles, we can create a balanced path that nurtures both technological progress and spiritual well-being, paving the way for a more mindful, compassionate, and connected world. Originality/ Values: Through this interdisciplinary approach, the paper aims to present a framework for “Digital Dharma,” integrating ancient wisdom with contemporary strategies for balanced, mindful engagement in the digital landscape
Transforming Customer Experience through Artificial Intelligence: Exploring Opportunities and Challenges
Purpose: This study examines the transformative role of Artificial Intelligence (AI) in improving the experience of customers, with a focus on its benefits, challenges, and future implications. As businesses increasingly adopt AI-driven solutions such as chatbots, virtual assistants, and personalized recommendation systems, understanding their impact on customer satisfaction, loyalty, and engagement becomes essential. The study explores how AI processes live data analysis, automation, and personalized interactions while addressing ethical concerns, issues related to the privacy of the data, and the potential loss of human touch. By analyzing the above, the study aims to provide important contributions for businesses, policymakers, and researchers on optimizing AI adoption to balance technological innovation with customer-centric values, ultimately fostering sustainable business growth and long-term customer relationships. Design/Methodology/Approach: This study employs a combination of both qualitative and quantitative analysis to evaluate the impact of AI-pushed solutions on customer revel in primary information is accrued through surveys and interviews with consumers and industry experts, whilst secondary information from present literature and case research provides contextual insights. Findings/Result: The findings of the study reveal that AI-driven solutions significantly enhance customer experience by improving service efficiency, personalization, and real-time engagement. Customers express higher satisfaction and loyalty when interacting with AI-powered chatbots and recommendation systems, particularly in areas like electronic commerce and banking. But, challenges of data privacy, ethical considerations, and no-human empathy in AI involvement remain key barriers to widespread acceptance. The study also highlights that businesses optimizing AI implementation with a balance of automation and human intervention achieve better customer retention and trust. these insights offer precious guidance for organizations trying to enhance AI adoption while maintaining a customer-centric approach. Originality/Value: This research paper contributes to the prevailing literature by giving a complete analysis of AI's impact on customer experience, offering actionable insights for businesses to optimize AI adoption while addressing ethical and human-centric challenges. Paper Type: Conceptual Research.
Disruptive Innovations Using Tech-Business Analytics in the Tertiary Industry Sector
Purpose: Disruptive Innovations Using Tech-Business Analytics in the Tertiary Industry Sector aims to transform service-based businesses through the use of cutting-edge technologies and insight-based decision-making. By increasing productivity, customization, and scalability, this strategy produces better client experiences, more efficient operations, and innovative business models that go against established market structures. Methodology: Combining both structured and unstructured information from multiple sources, such as market trends, consumer interactions, and the Internet of Things. employing big data analytics, predictive modeling, and machine learning to glean insights and spot possibilities. using cutting-edge technology to improve service delivery, such as cloud computing, blockchain, automation, and artificial intelligence. using platform-based economies, rethinking procedures, and developing new sources of income. Enhancing client happiness and strategy refinement through real-time analytics and feedback loops. In the tertiary sector, this model guarantees competitive advantage and sustainable growth. Analysis: In the tertiary sector, disruptive technologies powered by tech-business analytics are revolutionizing established service models through increased customer satisfaction, cost savings, and efficiency. As a result, tech-business analytics shift the tertiary industrial landscape and promote sustainable growth by acting as a catalyst for disruptive ideas. Originality/Value: An explanation of how traditional business analytics in the tertiary sector is different from tech business analytics. In addition, it looks at thirty recently submitted study recommendations about Tech Business Analytics in Tertiary industries and contains a generic design that can be used for technical purposes. Type of Paper: Exploratory Research.
Redefining the Goal and Building the Personality through Controlling the Environment – A Conceptual Study
Purpose: Investigating and shedding light on how environmental control can greatly improve goal achievement, leadership efficacy, and personal growth is the aim of this study. Conventional leadership models tend to disregard the impact of the external environment and instead place a strong emphasis on internal qualities like vision and resilience. The goal of this study is to close this gap by examining how making deliberate changes to one's social and physical environment might improve important leadership traits like self-efficacy, discipline, and flexibility. This study aims to provide a more comprehensive approach to leadership theory by combining frameworks for analysis, comparison, and interpretation. Methodology: Conceptual exploratory research method is used. This method incorporates both internal strengths and external flexibility. In addition to offering useful insights and doable tactics, the study gives prospective leaders the means to organize their surroundings for both professional and personal development, which eventually encourages ongoing self-improvement and long-term leadership success. Results/Analysis: In order to broaden the scope of current leadership theories, this exploratory study examines how environmental control can improve goal alignment, personality development, and leadership efficacy. This study shows how controlled surroundings are important for goal formulation and achievement by examining how changes to social and physical contexts might enhance motivation, focus, and decision-making. By using a comparative framework, the study compares environment-centered methods to traditional leadership theories that emphasize intrinsic qualities. It concludes that leaders who proactively manage their environment are more likely to be effective and flexible. Furthermore, the research employs an assessment methodology to investigate how environmental control enhances critical leadership attributes including self-efficacy, discipline, and resilience. The application of an interpretative framework yields findings that indicate environmental adaptation may be a useful supplement to contemporary leadership theory, promoting ongoing self-improvement and long-term success. Actionable ideas for creating conditions that support growth and goal attainment are presented in practical applications for emerging leaders. Finally, the study suggests a comprehensive model that enhances leadership effectiveness and increases the possibility of self-directed growth by striking a balance between internal attributes and external adaptation. Originality/Values: With its emphasis on the environment's transformative power as a tool for both professional and personal success, this study adds a comprehensive viewpoint to leadership theory. Type of Research: Exploratory Analysis.
Redefining Experimental, Empirical, and Exploratory Research in AI Era
Purpose: To critically assess and enhance the integration of Artificial Intelligence (AI) in contemporary research methodologies. This study aims to evaluate the current use of AI across major research methods, identify gaps and opportunities, and establish comprehensive procedures for conducting and documenting AI-driven experimental, empirical, and exploratory research. By analyzing the advantages, benefits, constraints, and disadvantages using the ABCD framework, the research seeks to compare findings across different methods and assess their impact on AI-based research methodologies. Ultimately, the study aims to provide actionable insights and recommendations for advancing research practices in the AI era, ensuring that the methodologies evolve in line with technological advancements. Methodology: Exploratory method is used. The required information is searched using suitable keywords using Google search engine, Google Scholar search engine, and AI-driven GPTs and analysed using suitable analysis frameworks. Results & Analysis: The major research methods and scholarly publication formats of Experimental, Empirical, and Exploratory Research in AI Era are redefined, discussed, analysed, and interpreted with suitable suggestions. Outcome/Value Addition: The study aims to provide actionable insights and recommendations for advancing research practices in the AI era, ensuring that the methodologies evolve in line with technological advancements. Type of Research: Conceptual & Policy Research.
New Job Opportunities due to Integration of AI-driven GPTs across Four Industry Sectors - A Futuristic Analysis
Purpose: The purpose of this research paper is to explore and analyze the potential job opportunities emerging from the integration of AI-driven Generative Pre-trained Transformers (GPTs) across four key industry sectors: Primary, Secondary, Tertiary, and Quaternary. By examining the transformative impact of these advanced AI technologies, the study aims to provide insights into how AI-driven GPTs can create new roles, reshape existing job functions, and drive innovation within these sectors. This analysis is intended to guide industry stakeholders and policymakers in preparing for and capitalizing on the opportunities presented by AI advancements, ensuring a strategic and inclusive approach to workforce development and economic growth. Methodology: Exploratory research method is by collecting information using various search engines, AI-driven GPTs, and focus groups interactions and new interpretations are developed by analysing, comparing, and evaluating using various analysis frameworks. Key-findings: The integration of AI-driven Generative Pre-trained Transformers (GPTs) across various industry sectors, including Primary, Secondary, Tertiary, and Quaternary sectors, is poised to bring about transformative changes in workforce planning, skill requirements, and training. These changes will have far-reaching implications for businesses, employees, and educational institutions. Implications: The integration of AI-driven GPTs in the four industry sectors is unlocking new job opportunities that bridge traditional industry knowledge with cutting-edge AI capabilities. Originality/Value: New interpretations are developed by analysing, comparing, and evaluating using various analysis frameworks. Type of Paper: Exploratory research analysis.
An Overview of the Use of ICCT and Nanotechnology in Yellow Economy: Current Status and Future Opportunities
Purpose: To explore the use of Information Communication and Computation Technology and nanotechnology in promoting global yellow economy across the industries. Methodology: The exploratory research method is used where the relevant information on Yellow economy, ICCT and Nanotechnology are collected through keyword-based search using search engines like Google, Google Scholar, and AI-driven GPTs and analysed, compared, and evaluated using suitable analysing frameworks. The results are interpreted as new knowledge obtained from this research and suggested in the form of outcome postulates. Analysis: A thorough analysis of the Yellow Economy's background, significance, and technological requirements including the definition, components, applications, adoption trends, and challenges associated with ICCT and Nanotechnology, drawing insights from various sources to provide a holistic perspective. Case studies and examples are examined to explore successful integration scenarios and potential future developments. Additionally, a systematic analysis called ABCD analysis is presented to evaluate the potential advantages, benefits, constraints, and disadvantages of yellow economy driven by ICCT and Nanotechnology across industries. Results/Outcome: The impact of external factors like economic, environmental, social-cultural as well as technological, regulatory, and ethical considerations, are assessed through this exploratory research. Based on the findings, we propose future opportunities, policy recommendations, and research priorities aimed at maximizing benefits and mitigating risks associated with the adoption of ICCT and Nanotechnology in the Yellow Economy. The results of the outcome are interpreted as new knowledge and suggestions are given in the form of outcome postulates. Originality/Value: The paper provides valuable insights into the role of technology in optimizing industry operations and fostering sustainable economic growth in the Yellow Economy.
Tech-business Analytics in Digital Cashless Economy
Purpose: In the digital cashless economy, the main goal of tech-business analytics (TBA) is to use cutting-edge data analytics methods and tools to help companies that operate in cashless digital environments become more innovative, efficient, and successful. Design/Methodology/Approach: Clearly state the business goals that the analytics programme is intended to achieve. This can involve raising income, decreasing fraud, strengthening customer satisfaction, or optimising operational effectiveness. Findings/Result: Using tech-business analytics to streamline procedures, shorten transaction times, and allocate resources more efficiently is how businesses operating in the digital cashless economy are able to achieve increased operational efficiency. Originality/Value: In the fast-paced, dynamic digital cashless economy, firms may stay ahead of the competition, open up new opportunities, and foster innovation by embracing creativity in tech-business analytics. Paper Type: Exploratory Research on Technology Management.