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Geographically dispersed teams are work groups with members separated by time and distance. Essential to the success of organizations in a global marketplace, these teams create unique challenges to effective task performance. This report summarizes what the important literature on GDTs has to say about how they should be formed, developed, and led. It is primarily for individuals charged with creating or leading GDTs, for designers who provide the technology for these teams, for trainers who are expected to help these teams develop and operate, and for organizational consultants called in to assist.
The rise and spread of information communication technologies (ICT) has enabled increasing use of geographically dispersed work teams (Global Virtual Teams). Originally, Global Virtual Teams were mainly organised into temporary projects. Little research has focused on the emergent challenge for organisations to move towards establishing permanent Global Virtual Teams in order to leverage knowledge sharing and cooperation across distance. To close this gap, this paper will set the scene for a research project investigating the changed preconditions for organisations. As daily face-to-face communication is not the basis for developing manager-subordinate, as well as member-member relations, the development of teams to work together efficiently and effectively in a virtual setting has often been neglected. Part of this discussion are the changed parameters in relation to increasing global competition; a new generation of self-lead digital natives, who are already practising virtual relationships and a new approach to work, and currently joining the global workforce; and improved communication technologies.
This book establishes constructivist, interpretivist, and linguistic approaches based on conventions about the nature of qualitative and text data, the author’s influence on text interpretation, and the validity checks used to justify text interpretations. Vast quantities of text and qualitative data in organizations often go unexplored. Text analytics outlined in this book allow readers to understand the process of converting unstructured text data into meaningful data for analysis in order to measure employee opinions, feedback, and reviews through sentiment analysis to support fact-based decision making. The methods involve using NVivo and RapidMiner software to perform lexical analysis, categorization, clustering, pattern recognition, tagging, annotation, memo creation, information extraction, association analysis, and visualization. The methodological approach in the book uses innovation theory as a sensitizing concept to lay the foundation for the analysis of research data, suggesting approaches for empirical exploration of organizational learning, knowledge management, and innovation practices amongst geographically dispersed individuals and team members. Based on data obtained from a private educational organization that has offices dispersed across Asia through focus group discussions and interviews on these topics, the author highlights the need for integrating organizational learning, knowledge management, and innovation to improve organizational performance, exploring perspectives on collective relationships and networks, organizational characteristics and structures, and tacit and overt values which influence such innovation initiatives. In the process, the author puts forward a new theory which is built on three themes: relationship and networks, knowledge sharing mechanisms, and the role of social cognitive schema that facilitate emergent learning, knowledge management, and innovation.
An essential book on the applications of AI and digital twin technology in the smart manufacturing sector. In the rapidly evolving landscape of modern manufacturing, the integration of cutting-edge technologies has become imperative for businesses to remain competitive and adaptive. Among these technologies, Artificial Intelligence (AI) stands out as a transformative force, revolutionizing traditional manufacturing processes and making the way for the era of smart manufacturing. At the heart of this technological revolution lies the concept of the Digital Twin—an innovative approach that bridges the physical and digital realms of manufacturing. By creating a virtual representation of physical assets, processes, and systems, organizations can gain unprecedented insights, optimize operations, and enhance decision-making capabilities. This timely book explores the convergence of AI and Digital Twin technologies to empower smart manufacturing initiatives. Through a comprehensive examination of principles, methodologies, and practical applications, it explains the transformative potential of AI-enabled Digital Twins across various facets of the manufacturing lifecycle. From design and prototyping to production and maintenance, AI-enabled Digital Twins offer multifaceted advantages that redefine traditional paradigms. By leveraging AI algorithms for data analysis, predictive modeling, and autonomous optimization, manufacturers can achieve unparalleled levels of efficiency, quality, and agility. This book explains how AI enhances the capabilities of Digital Twins by creating a powerful tool that can optimize production processes, improve product quality, and streamline operations. Note that the Digital Twin in this context is a virtual representation of a physical manufacturing system, including machines, processes, and products. It continuously collects real-time data from sensors and other sources, allowing it to mirror the physical system’s behavior and performance. What sets this Digital Twin apart is the incorporation of AI algorithms and machine learning techniques that enable it to analyze and predict outcomes, recommend improvements, and autonomously make adjustments to enhance manufacturing efficiency. This book outlines essential elements, like real-time monitoring of machines, predictive analytics of machines and data, optimization of the resources, quality control of the product, resource management, decision support (timely or quickly accurate decisions). Moreover, this book elucidates the symbiotic relationship between AI and Digital Twins, highlighting how AI augments the capabilities of Digital Twins by infusing them with intelligence, adaptability, and autonomy. Hence, this book promises to enhance competitiveness, reduce operational costs, and facilitate innovation in the manufacturing industry. By harnessing AI’s capabilities in conjunction with Digital Twins, manufacturers can achieve a more agile and responsive production environment, ultimately driving the evolution of smart factories and Industry 4.0/5.0. Audience This book has a wide audience in computer science, artificial intelligence, and manufacturing engineering, as well as engineers in a variety of industrial manufacturing industries. It will also appeal to economists and policymakers working on the circular economy, clean tech investors, industrial decision-makers, and environmental professionals.
This book constitutes the refereed proceedings of the 9th International Conference on Asian Digital Libraries, ICADL 2006, held in Kyoto, Japan in November 2006. The 46 revised full papers, 14 revised short papers, and 6 poster papers include coverage of information extraction, information retrieval, metadata, architectures for digital libraries and archives, ontologies, information seeking, cultural heritage and e-learning.
The three volume set LNAI 4251, LNAI 4252, and LNAI 4253 constitutes the refereed proceedings of the 10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2006, held in Bournemouth, UK, in October 2006. The 480 revised papers presented were carefully reviewed and selected from about 1400 submissions. The papers present a wealth of original research results from the field of intelligent information processing.
The NAB Engineering Handbook provides detailed information on virtually every aspect of the broadcast chain, from news gathering, program production and postproduction through master control and distribution links to transmission, antennas, RF propagation, cable and satellite. Hot topics covered include HD Radio, HDTV, 2 GHz broadcast auxiliary services, EAS, workflow, metadata, digital asset management, advanced video and audio compression, audio and video over IP, and Internet broadcasting. A wide range of related topics that engineers and managers need to understand are also covered, including broadcast administration, FCC practices, technical standards, security, safety, disaster planning, facility planning, project management, and engineering management. Basic principles and the latest technologies and issues are all addressed by respected professionals with first-hand experience in the broadcast industry and manufacturing. This edition has been fully revised and updated, with 104 chapters and over 2000 pages. The Engineering Handbook provides the single most comprehensive and accessible resource available for engineers and others working in production, postproduction, networks, local stations, equipment manufacturing or any of the associated areas of radio and television.
In the era of Industry 4.0, where digital transformation drives innovation and efficiency, the need for secure, scalable, and innovative telecommunications solutions has never been more critical. This book offers an in-depth exploration of the technologies and services that form the backbone of modern business connectivity. Developed in collaboration with SolveForce, a leader in telecommunications and IT services, this guide covers everything from high-speed internet and cloud services to Everything as a Service (XaaS) and the Internet of Everything (IoE). Discover how businesses—whether small, medium, or enterprise-level—can leverage cutting-edge technologies like AI, dark fiber, vSIM (Virtual SIM), Unified Communications as a Service (UCaaS), and SD-WAN to optimize operations, streamline communications, and enhance cybersecurity. The book also explores the real-world applications of these solutions through insightful case studies. While some case studies may be hypothetical, the technologies and strategies are grounded in reality, highlighting how SolveForce and their trusted partners are already deploying these solutions today to drive success across industries. As Industry 4.0 transforms manufacturing, supply chains, and business operations, this book serves as a valuable resource for business leaders, IT professionals, and decision-makers who need to stay ahead in this rapidly evolving landscape. Learn how cybersecurity, telecom expense management (TEM), and cloud migration can revolutionize your operations and ensure your business remains agile, competitive, and future-ready. Whether you’re looking to enhance your network infrastructure, improve voice and data integration, or navigate compliance with data protection regulations like GDPR and CCPA, this book provides the insights and strategies to help you make informed decisions. With SolveForce’s extensive portfolio of telecommunications solutions, your business can fully embrace the opportunities and innovations of the Industry 4.0 revolution.