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Big Data Governance and Perspectives in Knowledge Management

Big Data Governance and Perspectives in Knowledge Management
Author: Strydom, Sheryl Kruger
Publisher: IGI Global
Total Pages: 304
Release: 2018-11-16
Genre: Computers
ISBN: 1522570780
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The world is witnessing the growth of a global movement facilitated by technology and social media. Fueled by information, this movement contains enormous potential to create more accountable, efficient, responsive, and effective governments and businesses, as well as spurring economic growth. Big Data Governance and Perspectives in Knowledge Management is a collection of innovative research on the methods and applications of applying robust processes around data, and aligning organizations and skillsets around those processes. Highlighting a range of topics including data analytics, prediction analysis, and software development, this book is ideally designed for academicians, researchers, information science professionals, software developers, computer engineers, graduate-level computer science students, policymakers, and managers seeking current research on the convergence of big data and information governance as two major trends in information management.

Innovations in Big Data Mining and Embedded Knowledge

Innovations in Big Data Mining and Embedded Knowledge
Author: Anna Esposito
Publisher: Springer
Total Pages: 276
Release: 2019-07-03
Genre: Technology & Engineering
ISBN: 3030159396
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This book addresses the usefulness of knowledge discovery through data mining. With this aim, contributors from different fields propose concrete problems and applications showing how data mining and discovering embedded knowledge from raw data can be beneficial to social organizations, domestic spheres, and ICT markets. Data mining or knowledge discovery in databases (KDD) has received increasing interest due to its focus on transforming large amounts of data into novel, valid, useful, and structured knowledge by detecting concealed patterns and relationships. The concept of knowledge is broad and speculative and has promoted epistemological debates in western philosophies. The intensified interest in knowledge management and data mining stems from the difficulty in identifying computational models able to approximate human behaviors and abilities in resolving organizational, social, and physical problems. Current ICT interfaces are not yet adequately advanced to support and simulate the abilities of physicians, teachers, assistants or housekeepers in domestic spheres. And unlike in industrial contexts where abilities are routinely applied, the domestic world is continuously changing and unpredictable. There are challenging questions in this field: Can knowledge locked in conventions, rules of conduct, common sense, ethics, emotions, laws, cultures, and experiences be mined from data? Is it acceptable for automatic systems displaying emotional behaviors to govern complex interactions based solely on the mining of large volumes of data? Discussing multidisciplinary themes, the book proposes computational models able to approximate, to a certain degree, human behaviors and abilities in resolving organizational, social, and physical problems. The innovations presented are of primary importance for: a. The academic research community b. The ICT market c. Ph.D. students and early stage researchers d. Schools, hospitals, rehabilitation and assisted-living centers e. Representatives from multimedia industries and standardization bodies

Knowledge Management, Innovation and Big Data

Knowledge Management, Innovation and Big Data
Author: Patricia Ordóñez de Pablos
Publisher: MDPI
Total Pages: 416
Release: 2019-12-31
Genre: Social Science
ISBN: 3039280082
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The evolution of knowledge management theory and the special emphasis on human and social capital sets new challenges for knowledge-driven and technology-enabled innovation. Emerging technologies including big data and analytics have significant implications for sustainability, policy making, and competitiveness. This edited volume promotes scientific research into the potential contributions knowledge management can make to the new era of innovation and social inclusive economic growth. We are grateful to all the contributors of this edition for their intellectual work. The organization of the relevant debate is aligned around three pillars: SECTION A. DATA, KNOWLEDGE, HUMAN AND SOCIAL CAPITAL FOR INNOVATION We elaborate on the new era of knowledge types and the emerging forms of social capital and their impact on technology-driven innovation. Topics include: · Social Networks · Smart Education · Social Capital · Corporate Innovation · Disruptive Innovation · Knowledge integration · Enhanced Decision-Making. SECTION B. KNOWLEDGE MANAGEMENT & BIG DATA ENABLED INNOVATION In this section, knowledge management and big data applications and systems are presented. Selective topic include: · Crowdsourcing Analysis · Natural Language Processing · Data Governance · Knowledge Extraction · Ontology Design Semantic Modeling SECTION C. SUSTAINABLE DEVELOPMENT In the section, the debate on the impact of knowledge management and big data research to sustainability is promoted with integrative discussion of complementary social and technological factors including: · Big Social Networks on Sustainable Economic Development · Business Intelligence

Big Data and Knowledge Sharing in Virtual Organizations

Big Data and Knowledge Sharing in Virtual Organizations
Author: Gyamfi, Albert
Publisher: IGI Global
Total Pages: 313
Release: 2019-01-25
Genre: Computers
ISBN: 1522575200
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Knowledge in its pure state is tacit in nature—difficult to formalize and communicate—but can be converted into codified form and shared through both social interactions and the use of IT-based applications and systems. Even though there seems to be considerable synergies between the resulting huge data and the convertible knowledge, there is still a debate on how the increasing amount of data captured by corporations could improve decision making and foster innovation through effective knowledge-sharing practices. Big Data and Knowledge Sharing in Virtual Organizations provides innovative insights into the influence of big data analytics and artificial intelligence and the tools, methods, and techniques for knowledge-sharing processes in virtual organizations. The content within this publication examines cloud computing, machine learning, and knowledge sharing. It is designed for government officials and organizations, policymakers, academicians, researchers, technology developers, and students.

Knowledge Management, Innovation, and Entrepreneurship in a Changing World

Knowledge Management, Innovation, and Entrepreneurship in a Changing World
Author: Jennex, Murray Eugene
Publisher: IGI Global
Total Pages: 463
Release: 2020-03-27
Genre: Business & Economics
ISBN: 1799823571
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In today’s world of business, gaining an advantage of competitors is a focal point for organizations and a driving force in the economy. New practices are being studied and implemented constantly by rivaling companies. Many industries have begun putting emphasis on intensive knowledge practices, with the belief that implementing cutting-edge learning practices will fuel research and innovation within the company. Understanding this dynamic method of management is critical for managers and executives who wish to propel the success of their organizations. Knowledge Management, Innovation, and Entrepreneurship in a Changing World is a collection of pioneering research on the methods of gaining organizational advantages based on knowledge innovation and management. While highlighting topics including human-robot teaming, organizational learning, and e-collaboration, this book will explore the sustainable links between knowledge management influences and organizational capability. This book is ideally designed for managers, strategists, economists, policymakers, entrepreneurs, business professionals, researchers, students, and academics seeking research on recent trends in innovative economics and business technologies.

Data-Driven Innovation Big Data for Growth and Well-Being

Data-Driven Innovation Big Data for Growth and Well-Being
Author: OECD
Publisher: OECD Publishing
Total Pages: 456
Release: 2015-10-06
Genre:
ISBN: 9264229353
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This report improves the evidence base on the role of Data Driven Innovation for promoting growth and well-being, and provide policy guidance on how to maximise the benefits of DDI and mitigate the associated economic and societal risks.

Big Data Governance and Perspectives in Knowledge Management

Big Data Governance and Perspectives in Knowledge Management
Author: Sheryl Kruger Strydom
Publisher: Information Science Reference
Total Pages: 0
Release: 2018-11-16
Genre: Business & Economics
ISBN: 9781522570790
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The world is witnessing the growth of a global movement facilitated by technology and social media. Fueled by information, this movement contains enormous potential to create more accountable, efficient, responsive, and effective governments and businesses, as well as spurring economic growth. Big Data Governance and Perspectives in Knowledge Management is a collection of innovative research on the methods and applications of applying robust processes around data, and aligning organizations and skillsets around those processes. Highlighting a range of topics including data analytics, prediction analysis, and software development, this book is ideally designed for academicians, researchers, information science professionals, software developers, computer engineers, graduate-level computer science students, policymakers, and managers seeking current research on the convergence of big data and information governance as two major trends in information management.

Digital Technology Advancements in Knowledge Management

Digital Technology Advancements in Knowledge Management
Author: Gyamfi, Albert
Publisher: IGI Global
Total Pages: 275
Release: 2021-06-18
Genre: Business & Economics
ISBN: 1799867943
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Knowledge management has always been about the process of creating, sharing, using, and applying knowledge within and between organizations. Before the advent of information systems, knowledge management processes were manual or offline. However, the emergence and eventual evolution of information systems created the possibility for the gradual but slow automation of knowledge management processes. These digital technologies enable data capture, data storage, data mining, data analytics, and data visualization. The value provided by such technologies is enhanced and distributed to organizations as well as customers using the digital technologies that enable interconnectivity. Today, the fine line between the technologies enabling the technology-driven external pressures and data-driven internal organizational pressures is blurred. Therefore, how technologies are combined to facilitate knowledge management processes is becoming less standardized. This results in the question of how the current advancement in digital technologies affects knowledge management processes both within and outside organizations. Digital Technology Advancements in Knowledge Management addresses how various new and emerging digital technologies can support knowledge management processes within organizations or outside organizations. Case studies and practical tips based on research on the emerging possibilities for knowledge management using these technologies is discussed within the chapters of this book. It both builds on the available literature in the field of knowledge management while providing for further research opportunities in this dynamic field. This book highlights topics such as human-robot interaction, big data analytics, software development, keyword extraction, and artificial intelligence and is ideal for technology developers, academics, researchers, managers, practitioners, stakeholders, and students who are interested in the adoption and implementation of new digital technologies for knowledge creation, sharing, aggregation, and storage.

Innovations in Knowledge Management

Innovations in Knowledge Management
Author: Liana Razmerita
Publisher: Springer
Total Pages: 280
Release: 2015-08-07
Genre: Technology & Engineering
ISBN: 3662478277
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This book discusses emerging trends in the field of managing knowledge work due to technological innovations. The book is organized in 3 sections. The first section, entitled "Managing Knowledge, Projects and Networks", discusses knowledge processes and their use, reuse or generation in the context of an organization. The second section, entitled "Managing Knowledge using Social Media", focuses on factors influencing adoption and usage, the role of social media in managing knowledge, and factors that influence employees' acceptance and participation. The third section brings into discussion new approaches and technologies for acquiring knowledge. The book will be useful to both academics engaged in research in knowledge management and practitioners who are considering or implementing strategies for managing one of their most important resources.

The 8th International Conference on Knowledge Management in Organizations

The 8th International Conference on Knowledge Management in Organizations
Author: Lorna Uden
Publisher: Springer Science & Business Media
Total Pages: 616
Release: 2013-09-06
Genre: Computers
ISBN: 9400772874
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The proceedings from the eighth KMO conference represent the findings of this international meeting which brought together researchers and developers from industry and the academic world to report on the latest scientific and technical advances on knowledge management in organizations. This conference provided an international forum for authors to present and discuss research focused on the role of knowledge management for innovative services in industries, to shed light on recent advances in social and big data computing for KM as well as to identify future directions for researching the role of knowledge management in service innovation and how cloud computing can be used to address many of the issues currently facing KM in academia and industrial sectors.