Big Data Governance And Perspectives In Knowledge Management

Author : Strydom, Sheryl Kruger,Strydom, Moses
Publisher : IGI Global
Page : 304 pages
File Size : 51,6 Mb
Release : 2018-11-16
Category : Computers
ISBN : 9781522570783

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Big Data Governance and Perspectives in Knowledge Management by Strydom, Sheryl Kruger,Strydom, Moses Pdf

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.

Author : William Wang
Publisher : Unknown
Page : 128 pages
File Size : 42,8 Mb
Release : 2017
Category : Electronic books
ISBN : 1787145069

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Does Big Data Mean Big Knowledge? Knowledge Management Perspectives on Big Data and Analytics by William Wang Pdf

Author : Patricia Ordóñez de Pablos,Miltiadis D. Lytras
Publisher : MDPI
Page : 416 pages
File Size : 45,9 Mb
Release : 2019-12-31
Category : Social Science
ISBN : 9783039280087

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Knowledge Management, Innovation and Big Data by Patricia Ordóñez de Pablos,Miltiadis D. Lytras Pdf

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

Author : Jennex, Murray Eugene
Publisher : IGI Global
Page : 450 pages
File Size : 44,5 Mb
Release : 2019-12-27
Category : Business & Economics
ISBN : 9781799821915

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Current Issues and Trends in Knowledge Management, Discovery, and Transfer by Jennex, Murray Eugene Pdf

No matter the industry, the development of information technologies has transformed how information is distributed and used to predict trends. Collecting and identifying the most vital information, however, requires constant management and manipulation. Current Issues and Trends in Knowledge Management, Discovery, and Transfer is an essential reference source that discusses crucial practices for collaborating and distributing work as well as validating accrued knowledge from real-time data. Featuring research on topics such as dynamic knowledge, management systems, and sharing behavior, this book is ideally designed for academics, researchers, librarians, managing professionals, and students seeking coverage on knowledge acquisition and implementation across systems.

Author : Strydom, Moses,Buckley, Sheryl
Publisher : IGI Global
Page : 405 pages
File Size : 44,7 Mb
Release : 2019-09-27
Category : Computers
ISBN : 9781522596899

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AI and Big Data’s Potential for Disruptive Innovation by Strydom, Moses,Buckley, Sheryl Pdf

Big data and artificial intelligence (AI) are at the forefront of technological advances that represent a potential transformational mega-trend—a new multipolar and innovative disruption. These technologies, and their associated management paradigm, are already rapidly impacting many industries and occupations, but in some sectors, the change is just beginning. Innovating ahead of emerging technologies is the new imperative for any organization that aspires to succeed in the next decade. Faced with the power of this AI movement, it is imperative to understand the dynamics and new codes required by the disruption and to adapt accordingly. AI and Big Data’s Potential for Disruptive Innovation provides emerging research exploring the theoretical and practical aspects of successfully implementing new and innovative technologies in a variety of sectors including business, transportation, and healthcare. Featuring coverage on a broad range of topics such as semantic mapping, ethics in AI, and big data governance, this book is ideally designed for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research on the production of new and innovative mechanization and its disruptions.

Author : Sun, Zhaohao
Publisher : IGI Global
Page : 335 pages
File Size : 42,8 Mb
Release : 2019-02-22
Category : Computers
ISBN : 9781522572787

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Managerial Perspectives on Intelligent Big Data Analytics by Sun, Zhaohao Pdf

Big data, analytics, and artificial intelligence are revolutionizing work, management, and lifestyles and are becoming disruptive technologies for healthcare, e-commerce, and web services. However, many fundamental, technological, and managerial issues for developing and applying intelligent big data analytics in these fields have yet to be addressed. Managerial Perspectives on Intelligent Big Data Analytics is a collection of innovative research that discusses the integration and application of artificial intelligence, business intelligence, digital transformation, and intelligent big data analytics from a perspective of computing, service, and management. While highlighting topics including e-commerce, machine learning, and fuzzy logic, this book is ideally designed for students, government officials, data scientists, managers, consultants, analysts, IT specialists, academicians, researchers, and industry professionals in fields that include big data, artificial intelligence, computing, and commerce.

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 2188 pages
File Size : 46,9 Mb
Release : 2021-04-23
Category : Computers
ISBN : 9781799889557

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Research Anthology on Privatizing and Securing Data by Management Association, Information Resources Pdf

With the immense amount of data that is now available online, security concerns have been an issue from the start, and have grown as new technologies are increasingly integrated in data collection, storage, and transmission. Online cyber threats, cyber terrorism, hacking, and other cybercrimes have begun to take advantage of this information that can be easily accessed if not properly handled. New privacy and security measures have been developed to address this cause for concern and have become an essential area of research within the past few years and into the foreseeable future. The ways in which data is secured and privatized should be discussed in terms of the technologies being used, the methods and models for security that have been developed, and the ways in which risks can be detected, analyzed, and mitigated. The Research Anthology on Privatizing and Securing Data reveals the latest tools and technologies for privatizing and securing data across different technologies and industries. It takes a deeper dive into both risk detection and mitigation, including an analysis of cybercrimes and cyber threats, along with a sharper focus on the technologies and methods being actively implemented and utilized to secure data online. Highlighted topics include information governance and privacy, cybersecurity, data protection, challenges in big data, security threats, and more. This book is essential for data analysts, cybersecurity professionals, data scientists, security analysts, IT specialists, practitioners, researchers, academicians, and students interested in the latest trends and technologies for privatizing and securing data.

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 1988 pages
File Size : 54,6 Mb
Release : 2021-09-24
Category : Computers
ISBN : 9781668436639

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Research Anthology on Big Data Analytics, Architectures, and Applications by Management Association, Information Resources Pdf

Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics, Architectures, and Applications is a complete reference source on big data analytics that offers the latest, innovative architectures and frameworks and explores a variety of applications within various industries. Offering an international perspective, the applications discussed within this anthology feature global representation. Covering topics such as advertising curricula, driven supply chain, and smart cities, this research anthology is ideal for data scientists, data analysts, computer engineers, software engineers, technologists, government officials, managers, CEOs, professors, graduate students, researchers, and academicians.

Author : Abdalmuttaleb M.A. Musleh Al-Sartawi,Anjum Razzaque,Mukhtar Alhashimi,Allam Hamdan
Publisher : Engineering Science Reference
Page : 325 pages
File Size : 55,8 Mb
Release : 2020-08
Category : Big data
ISBN : 179985552X

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Knowledge Management and Big Data Analytics for Strategic Decision Making by Abdalmuttaleb M.A. Musleh Al-Sartawi,Anjum Razzaque,Mukhtar Alhashimi,Allam Hamdan Pdf

"This book addresses the multiple strands that feed into our understanding of sustainable big data and data analytics, as well as knowledge management"--

Author : Vincent Ribière and Lugkana Worasinchai
Publisher : Academic Conferences and publishing limited
Page : 470 pages
File Size : 54,5 Mb
Release : 2015-10-20
Category : Business & Economics
ISBN : 9781910810736

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ICICKM2015-12th International Conference on Intellectual Capital Knowledge Management & Organisational Learning by Vincent Ribière and Lugkana Worasinchai Pdf

Author : Rupa Mahanti
Publisher : Springer Nature
Page : 218 pages
File Size : 51,6 Mb
Release : 2021-09-08
Category : Business & Economics
ISBN : 9789811635830

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Data Governance and Data Management by Rupa Mahanti Pdf

This book delves into the concept of data as a critical enterprise asset needed for informed decision making, compliance, regulatory reporting and insights into trends, behaviors, performance and patterns. With good data being key to staying ahead in a competitive market, enterprises capture and store exponential volumes of data. Considering the business impact of data, there needs to be adequate management around it to derive the best value. Data governance is one of the core data management related functions. However, it is often overlooked, misunderstood or confused with other terminologies and data management functions. Given the pervasiveness of data and the importance of data, this book provides comprehensive understanding of the business drivers for data governance and benefits of data governance, the interactions of data governance function with other data management functions and various components and aspects of data governance that can be facilitated by technology and tools, the distinction between data management tools and data governance tools, the readiness checks to perform before exploring the market to purchase a data governance tool, the different aspects that must be considered when comparing and selecting the appropriate data governance technologies and tools from large number of options available in the marketplace and the different market players that provide tools for supporting data governance. This book combines the data and data governance knowledge that the author has gained over years of working in different industrial and research programs and projects associated with data, processes and technologies with unique perspectives gained through interviews with thought leaders and data experts. This book is highly beneficial for IT students, academicians, information management and business professionals and researchers to enhance their knowledge and get guidance on implementing data governance in their own data initiatives.

Author : G. David Garson
Publisher : Routledge
Page : 704 pages
File Size : 43,6 Mb
Release : 2021-11-30
Category : Psychology
ISBN : 9781000467086

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Data Analytics for the Social Sciences by G. David Garson Pdf

Data Analytics for the Social Sciences is an introductory, graduate-level treatment of data analytics for social science. It features applications in the R language, arguably the fastest growing and leading statistical tool for researchers. The book starts with an ethics chapter on the uses and potential abuses of data analytics. Chapters 2 and 3 show how to implement a broad range of statistical procedures in R. Chapters 4 and 5 deal with regression and classification trees and with random forests. Chapter 6 deals with machine learning models and the "caret" package, which makes available to the researcher hundreds of models. Chapter 7 deals with neural network analysis, and Chapter 8 deals with network analysis and visualization of network data. A final chapter treats text analysis, including web scraping, comparative word frequency tables, word clouds, word maps, sentiment analysis, topic analysis, and more. All empirical chapters have two "Quick Start" exercises designed to allow quick immersion in chapter topics, followed by "In Depth" coverage. Data are available for all examples and runnable R code is provided in a "Command Summary". An appendix provides an extended tutorial on R and RStudio. Almost 30 online supplements provide information for the complete book, "books within the book" on a variety of topics, such as agent-based modeling. Rather than focusing on equations, derivations, and proofs, this book emphasizes hands-on obtaining of output for various social science models and how to interpret the output. It is suitable for all advanced level undergraduate and graduate students learning statistical data analysis.

Author : Paul, Dimple Valayil
Publisher : IGI Global
Page : 229 pages
File Size : 43,8 Mb
Release : 2021-01-08
Category : Computers
ISBN : 9781799837732

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Developing a Keyword Extractor and Document Classifier: Emerging Research and Opportunities by Paul, Dimple Valayil Pdf

The main problems that prevent fast and high-quality document processing in electronic document management systems are insufficient and unstructured information, information redundancy, and the presence of large amounts of undesirable user information. The human factor has a significant impact on the efficiency of document search. An average user is not aware of the advanced option of a query language and uses typical queries. Development of a specialized software toolkit intended for information systems and electronic document management systems can be an effective solution of the tasks listed above. Such toolkits should be based on the means and methods of automatic keyword extraction and text classification. The categorization (or classification) of texts into predefined categories has witnessed a booming interest in the last 10 years due to the increased availability of documents in digital form and the ensuing need to organize them. Thus, research on keyword extraction, advancements in the field, and possible future solutions is of great importance in current times. Developing a Keyword Extractor and Document Classifier: Emerging Research and Opportunities presents an information extraction mechanism that can process many kinds of inputs, realize the type of text, and understand the percentage of the keywords that has to be stored. This mechanism then supports information extraction and information categorization mechanisms. This module is used to support a text summarization mechanism, which leads—with the help of the keyword extraction module—to text categorization. It employs lexical and information retrieval techniques to extract phrases from the document text that are likely to characterize it and determines the category of the retrieved text to present a summary to the users. This book is ideal for practitioners, stakeholders, researchers, academicians, and students who are interested in the development of a new keyword extractor and document classifier method.

Author : Girard, John
Publisher : IGI Global
Page : 312 pages
File Size : 53,9 Mb
Release : 2015-02-28
Category : Business & Economics
ISBN : 9781466681231

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Strategic Data-Based Wisdom in the Big Data Era by Girard, John Pdf

The ability to uncover, share, and utilize knowledge is one of the most vital components to the success of any organization. While new technologies and techniques of knowledge dissemination are promising, there is still a struggle to derive and circulate meaningful information from large data sets. Strategic Data-Based Wisdom in the Big Data Era combines the latest empirical research findings, best practices, and applicable theoretical frameworks surrounding data analytics and knowledge acquisition. Providing a multi-disciplinary perspective of the subject area, this book is an essential reference source for professionals and researchers working in the field of knowledge management who would like to improve their understanding of the strategic role of data-based wisdom in different types of work communities and environments.

Author : Carolina Aguerre,Malcolm Campbell-Verduyn,Jan Aart Scholte
Publisher : Taylor & Francis
Page : 222 pages
File Size : 48,8 Mb
Release : 2024-01-30
Category : Computers
ISBN : 9781003859765

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Global Digital Data Governance by Carolina Aguerre,Malcolm Campbell-Verduyn,Jan Aart Scholte Pdf

This book provides a nuanced exploration of contemporary digital data governance, highlighting the importance of cooperation across sectors and disciplines in order to adapt to a rapidly evolving technological landscape. Most of the theory around global digital data governance remains scattered and focused on specific actors, norms, processes, or disciplinary approaches. This book argues for a polycentric approach, allowing readers to consider the issue across multiple disciplines and scales. Polycentrism, this book argues, provides a set of lenses that tie together the variety of actors, issues, and processes intertwined in digital data governance at subnational, national, regional, and global levels. Firstly, this approach uncovers the complex array of power centers and connections in digital data governance. Secondly, polycentric perspectives bridge disciplinary divides, challenging assumptions and drawing together a growing range of insights about the complexities of digital data governance. Bringing together a wide range of case studies, this book draws out key insights and policy recommendations for how digital data governance occurs and how it might occur differently. Written by an international and interdisciplinary team, this book will be of interest to students and scholars in the field of development studies, political science, international relations, global studies, science and technology studies, sociology, and media and communication studies.