Research and Innovation Forum 2025 Vol1 : Competitiveness, Growth and Well-being through Technology, Innovation and Education (Springer Proceedings in Complexity)

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Research and Innovation Forum 2025 Vol1 : Competitiveness, Growth and Well-being through Technology, Innovation and Education (Springer Proceedings in Complexity)

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  • 製本 Hardcover:ハードカバー版
  • 言語 ENG
  • 商品コード 9783032090652

Full Description

This book features research presented and discussed during the Research and Innovation Forum (Rii Forum) 2025. As such, this book offers a unique insight into emerging topics, issues and developments pertinent to the fields of technology, innovation and education and their social impact. 

Papers included in this book apply inter- and multi-disciplinary approaches to query such issues as technology-enhanced teaching and learning, smart cities, information systems, cognitive computing and social networking. What brings these threads of the discussion together is the question of how advances in computer science—which are otherwise largely incomprehensible to researchers from other fields—can be effectively translated and capitalized on so as to make them beneficial for society as a whole.

In this context, Rii Forum and Rii Forum proceedings offer an essential venue where diverse stakeholders, including academics, the think tank sector and decision-makers, can engage in a meaningful dialogue with a view to improving the applicability of advances in computer science.

Contents

Industry 5.0. and its innovation dynamics: modelling and explaining its potential.-Velocity Inequalities in Digital Public Service Ecosystem: David against Goliath in the Agri Food Value Chain?.- Exploring the Role of Digital Literacy in Enhancing Entrepreneurial Success and Innovation within Ecosystems.- The Dark Side of the Metaverse: Managing Human Resource Management challenges in Virtual Environments.- Integrating Model Driven Development within Agile Methods: Insights from a Systematic Literature Review.- Implementing DEA with Gaussian AHP and Pearson Correction for Efficiency Benchmarking in a Food Retail Chain.- Systematic Literature Reviews (SLRs) in Business, Management and Economics: Trends, Gaps, and Methodological Rigor.- Why Artificial Intelligence Needs Sociology?.- The (Dis)Illusion of the Web3 Decentralization for Global Governance in the Age of GenAI.- Digital Human: the new frontier of Artificial Intelligence for Customer Experience.- Dynamic Capabilities in AI Powered Business Ecosystems: An Outline of an Emerging Research Agenda.- Acceptance of Generative AI in the Creative Industry: The Role of Brand Recognition, Trust, and Experience Moderation in AI Adoption.- Beyond imagination: Design Thinking, creativity and the power of AI.- Redesigning skills for the twin transition: a path toward sustainable innovation.- Building the Next Generation of Entrepreneurs: The Role of Group Projects and Experiential Education in Nurturing Entrepreneurial Mindset and Skills.- University Education and Entrepreneurial Intention: The Role of University Climate and Entrepreneurship Education.- The Contribution of Hungarian Universities to the UN Sustainable Development Goals: A Comparative Analysis of State run, Church affiliated, and Model Transition Institutions (2019 2023).- Redefining Architecture Pedagogy for GenAI Enhanced Classrooms: Impacts on Student Engagement and Learning Outcomes.- Reaching the Parts Others Cannot: Embedding Further Education in the UK Innovation Ecosystem for Inclusive Growth and Place Based Innovation.- Smart Transition in Historical Small Towns: First Insights from a Digital Material Flow Assessment in the Italian Case Study of Taurasi.- TOWARDS A FRAMEWORK FOR PROMOTING WALKABILITY IN TAHLIA STREET, JEDDAH CITY.- Towards Touristic Based Development for Al Tayseer Area in Makkah City.- Humanizing cities through urban design: urban design principles and policy making considerations.- Private Equity in U.S. Healthcare.- Digital Revolution in Pharmaceutical Industry: A  Network Analysis of Industry 5.0 Technologies.- Interpretable Machine Learning for Metastasis Prediction in Paragangliomas and Pheochromocytomas.- Enhancing Precision Medicine in Non Small Cell Lung Cancer Diagnosis through Artificial Intelligence.- Detection of gait alterations using mobile device sensors and machine learning.

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