Knowledge Management Innovation And Big Data

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Big Data Governance and Perspectives in Knowledge Management

Author : Strydom, Sheryl Kruger,Strydom, Moses
Publisher : IGI Global
Page : 304 pages
File Size : 40,7 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.

Knowledge Management, Innovation and Big Data

Author : Patricia Ordóñez de Pablos,Miltiadis D. Lytras
Publisher : MDPI
Page : 416 pages
File Size : 52,5 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

Knowledge Management, Innovation, and Entrepreneurship in a Changing World

Author : Jennex, Murray Eugene
Publisher : IGI Global
Page : 463 pages
File Size : 41,6 Mb
Release : 2020-03-27
Category : Business & Economics
ISBN : 9781799823575

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Knowledge Management, Innovation, and Entrepreneurship in a Changing World by Jennex, Murray Eugene Pdf

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.

Innovations in Big Data Mining and Embedded Knowledge

Author : Anna Esposito,Antonietta M. Esposito,Lakhmi C. Jain
Publisher : Springer
Page : 276 pages
File Size : 53,6 Mb
Release : 2019-07-03
Category : Technology & Engineering
ISBN : 9783030159399

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Innovations in Big Data Mining and Embedded Knowledge by Anna Esposito,Antonietta M. Esposito,Lakhmi C. Jain Pdf

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

The 8th International Conference on Knowledge Management in Organizations

Author : Lorna Uden,Leon S.L. Wang,Juan Manuel Corchado Rodríguez,Hsin-Chang Yang,I-Hsien Ting
Publisher : Springer Science & Business Media
Page : 629 pages
File Size : 50,9 Mb
Release : 2013-09-06
Category : Computers
ISBN : 9789400772878

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The 8th International Conference on Knowledge Management in Organizations by Lorna Uden,Leon S.L. Wang,Juan Manuel Corchado Rodríguez,Hsin-Chang Yang,I-Hsien Ting Pdf

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.

Management Innovation and Big Data

Author : Zheng Qin,Yan Li,Yinzhou Yang
Publisher : Springer Nature
Page : 224 pages
File Size : 41,5 Mb
Release : 2023-04-20
Category : Computers
ISBN : 9789811992315

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Management Innovation and Big Data by Zheng Qin,Yan Li,Yinzhou Yang Pdf

Adhering to the combination of theoretical introduction and practical case introduction, this book summarizes the basic concepts and methods in management and big data analysis at home and abroad and introduces a large number of relevant practical cases, especially new cases in the Internet era, to help readers integrate theoretical knowledge into practical applications. The chapters of this book are interrelated and independent of each other, making it easy for the reader to study in pieces or to delve deeper into a particular topic of interest. Covering an array of theories about management and big data at home and abroad, this book lays a solid foundation for being an authentic manager. It is organized into sections on decision-making, organization, leadership, control, innovation, and big data to fully dissect and summarize the basic concepts of these characters in management and to show the basic methods that managers can use to solve problems. Each section contains a large number of examples to demonstrate how entrepreneurs successfully manage their large companies and overcome the difficulties in the business, utilizing the corresponding management functions or big data technology. Further, in order to adapt to the development of the Internet era, this book also absorbs a lot of practice cases of management innovation and big data which have emerged in recent years based on advanced network platform and big data analysis. This book puts great emphasis on the innovative function of management, adding more comprehensive methods and more updated cases related to the Internet.

Knowledge Discovery and Data Design Innovation

Author : Daniel Alemneh,Jeff Allen,Suliman Hawamdeh
Publisher : World Scientific Publishing Company
Page : 364 pages
File Size : 43,9 Mb
Release : 2017-08-12
Category : Business & Economics
ISBN : 9813234474

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Knowledge Discovery and Data Design Innovation by Daniel Alemneh,Jeff Allen,Suliman Hawamdeh Pdf

To navigate the complex ecosystem of societal challenges, the International Conference on Knowledge Management Conference (ICKM 2017) focused on big data and data analytics as part of the relationship to the wider concept of knowledge management processes and practices. This book includes top papers presenting the major, and diverse, topics discussed at the conference. The papers covered various aspects of big data ranging from enhancing access to the big data to facilitating its wide applications in healthcare, social media, library and information centers, governments, and corporations.

Current Issues and Trends in Knowledge Management, Discovery, and Transfer

Author : Jennex, Murray Eugene
Publisher : IGI Global
Page : 450 pages
File Size : 48,6 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.

Management in the Era of Big Data

Author : Joanna Paliszkiewicz
Publisher : CRC Press
Page : 222 pages
File Size : 46,7 Mb
Release : 2020-06-18
Category : Business & Economics
ISBN : 9781000093636

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Management in the Era of Big Data by Joanna Paliszkiewicz Pdf

This book is a wonderful collection of chapters that posits how managers need to cope in the Big Data era. It highlights many of the emerging developments in technologies, applications, and trends related to management’s needs in this Big Data era. —Dr. Jay Liebowitz, Harrisburg University of Science and Technology This book presents some meaningful work on Big Data analytics and its applications. Each chapter generates helpful guidance to the readers on Big Data analytics and its applications, challenges, and prospects that is necessary for organizational strategic direction. —Dr. Alex Koohang, Middle Georgia State University Big Data is a concept that has caught the attention of practitioners, academicians, and researchers. Big Data offers organizations the possibility of gaining a competitive advantage by managing, collecting, and analyzing massive amounts of data. As the promises and challenges posed by Big Data have increased over the past decade, significant issues have developed regarding how data can be used for improving management. Big Data can be understood as large amounts of data generated by the Internet and a variety of connected smart devices and sensors. This book discusses the main challenges posed by Big Data in a manner relevant to both practitioners and scholars. It examines how companies can leverage Big Data analytics to act and optimize the business. This book brings together the theory and practice of management in the era of Big Data. It offers a look at the current state of Big Data, including a comprehensive overview of both research and practical applications. By bringing together conceptual thinking and empirical research on the nature, meaning, and development of Big Data in management, this book unifies research on Big Data in management to stimulate new directions for academic investigation as well as practice.

Intelligent Knowledge

Author : Yong Shi,Lingling Zhang,Yingjie Tian,Xingsen Li
Publisher : Springer
Page : 150 pages
File Size : 53,8 Mb
Release : 2015-05-08
Category : Business & Economics
ISBN : 9783662461938

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Intelligent Knowledge by Yong Shi,Lingling Zhang,Yingjie Tian,Xingsen Li Pdf

This book is mainly about an innovative and fundamental method called “intelligent knowledge” to bridge the gap between data mining and knowledge management, two important fields recognized by the information technology (IT) community and business analytics (BA) community respectively. The book includes definitions of the “first-order” analytic process, “second-order” analytic process and intelligent knowledge, which have not formally been addressed by either data mining or knowledge management. Based on these concepts, which are especially important in connection with the current Big Data movement, the book describes a framework of domain-driven intelligent knowledge discovery. To illustrate its technical advantages for large-scale data, the book employs established approaches, such as Multiple Criteria Programming, Support Vector Machine and Decision Tree to identify intelligent knowledge incorporated with human knowledge. The book further shows its applicability by means of real-life data analyses in the contexts of internet business and traditional Chinese medicines.

Business Intelligence and Big Data

Author : Celina M. Olszak
Publisher : CRC Press
Page : 178 pages
File Size : 51,7 Mb
Release : 2020-11-17
Category : Computers
ISBN : 9781000218282

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Business Intelligence and Big Data by Celina M. Olszak Pdf

The twenty-first century is a time of intensifying competition and progressive digitization. Individual employees, managers, and entire organizations are under increasing pressure to succeed. The questions facing us today are: What does success mean? Is success a matter of chance and luck or perhaps is success a category that can be planned and properly supported? Business Intelligence and Big Data: Drivers of Organizational Success examines how the success of an organization largely depends on the ability to anticipate and quickly respond to challenges from the market, customers, and other stakeholders. Success is also associated with the potential to process and analyze a variety of information and the means to use modern information and communication technologies (ICTs). Success also requires creative behaviors and organizational cleverness from an organization. The book discusses business intelligence (BI) and Big Data (BD) issues in the context of modern management paradigms and organizational success. It presents a theoretically and empirically grounded investigation into BI and BD application in organizations and examines such issues as: Analysis and interpretation of the essence of BI and BD Decision support Potential areas of BI and BD utilization in organizations Factors determining success with using BI and BD The role of BI and BD in value creation for organizations Identifying barriers and constraints related to BI and BD design and implementation The book presents arguments and evidence confirming that BI and BD may be a trigger for making more effective decisions, improving business processes and business performance, and creating new business. The book proposes a comprehensive framework on how to design and use BI and BD to provide organizational success.

Knowledge Management and Big Data Analytics for Strategic Decision Making

Author : Abdalmuttaleb M.A. Musleh Al-Sartawi,Anjum Razzaque,Mukhtar Alhashimi,Allam Hamdan
Publisher : Unknown
Page : 325 pages
File Size : 46,5 Mb
Release : 2021
Category : Big data
ISBN : 1799855546

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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"--

Innovations in Knowledge Management

Author : Liana Razmerita,Gloria Phillips-Wren,Lakhmi C. Jain
Publisher : Springer
Page : 267 pages
File Size : 42,9 Mb
Release : 2015-08-07
Category : Technology & Engineering
ISBN : 9783662478271

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Innovations in Knowledge Management by Liana Razmerita,Gloria Phillips-Wren,Lakhmi C. Jain Pdf

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.

Knowledge Management in Organizations

Author : Lorna Uden,Darcy Fuenzaliza Oshee,I-Hsien Ting,Dario Liberona
Publisher : Springer
Page : 414 pages
File Size : 48,9 Mb
Release : 2014-08-25
Category : Business & Economics
ISBN : 9783319086187

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Knowledge Management in Organizations by Lorna Uden,Darcy Fuenzaliza Oshee,I-Hsien Ting,Dario Liberona Pdf

This book contains the refereed proceedings of the 9th International Conference on Knowledge Management in Organizations (KMO) held in Santiago, Chile, during September 2014. The theme of the conference is "Knowledge Management to Improve Innovation and Competitiveness through Big Data." The KMO conference brings together researchers and developers from industry and academia to discuss and research how knowledge management using big data can improve innovation and competitiveness. The 39 contributions accepted for KMO 2014 were selected from 89 submissions and are organized in sections on: big data and knowledge management, knowledge management practice and case studies, information technology and knowledge management, knowledge management and social networks, knowledge management in organizations, and knowledge transfer, sharing and creation.

Knowledge Management and Innovation in Network Organizations: Emerging Research and Opportunities

Author : Kisielnicki, Jerzy,Sobolewska, Olga
Publisher : IGI Global
Page : 187 pages
File Size : 52,5 Mb
Release : 2018-07-06
Category : Computers
ISBN : 9781522559313

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Knowledge Management and Innovation in Network Organizations: Emerging Research and Opportunities by Kisielnicki, Jerzy,Sobolewska, Olga Pdf

Organizations of all types are consistently working on new initiatives, product lines, or implementation of new workflows as a way to remain competitive in the modern business environment. No matter the type of project, employing the best methods for effective execution and timely completion of the task at hand is essential to project success. The implementation of computer technology has provided further opportunities for innovation and progress in the daily operations and initiatives of corporations. Knowledge Management and Innovation in Network Organizations: Emerging Research and Opportunities is an essential scholarly resource that explores the use of information communication technologies in management models and the development of network organizations operating in various sectors of the economy. Highlighting coverage on a wide range of topics such as cloud computing, organizational development, and business management, this book is ideal for business professionals, organizational researchers, and academicians interested in the latest research on network organizations.