Big Data and Knowledge Sharing in Virtual Organizations PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Big Data and Knowledge Sharing in Virtual Organizations PDF full book. Access full book title Big Data and Knowledge Sharing in Virtual Organizations by Albert Gyamfi. Download full books in PDF and EPUB format.
Author: Albert Gyamfi
Publisher: Engineering Science Reference
ISBN: 9781522575214
Category : Business & Economics
Languages : en
Pages : 0
Get Book
Book Description
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.
Author: Albert Gyamfi
Publisher: Engineering Science Reference
ISBN: 9781522575214
Category : Business & Economics
Languages : en
Pages : 0
Get Book
Book Description
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.
Author: Gyamfi, Albert
Publisher: IGI Global
ISBN: 1522575200
Category : Computers
Languages : en
Pages : 313
Get Book
Book Description
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.
Author: Camison, Cesar
Publisher: IGI Global
ISBN: 160566071X
Category : Business & Economics
Languages : en
Pages : 450
Get Book
Book Description
"This book analyzes different types of virtual communities, proposing Knowledge Management as a solid theoretical ground for approaching their management"--Provided by publisher.
Author: Tessier, Dana
Publisher: IGI Global
ISBN: 1799874249
Category : Business & Economics
Languages : en
Pages : 394
Get Book
Book Description
Organizations are facing major disruptions in technology, consumer preferences, and in the makeup of their workforce, and as a result, they will need to adapt to these rapidly changing times to stay effective. Organizations that are able to tap into the collective knowledge of their employees and leverage their insights will have an advantage over those that lack this connectivity. Implementing a knowledge management (KM) strategy can help organizations improve operational effectiveness, innovation, and adapt to changes, but the majority of KM implementations fail due to misalignment with the organization's existing culture. Organizational culture can enable effective KM, or it can be a barrier to its implementation. The Handbook of Research on Organizational Culture Strategies for Effective Knowledge Management and Performance defines the relationship between organizational culture and knowledge management and how they impact one another. This handbook also identifies critical business practices to assist organizations in transitioning to work from home while maintaining a strong corporate culture that includes beneficial knowledge-sharing behaviors. Covering topics including knowledge management, organizational culture, and change management, this text is essential for managers, executives, practitioners, leaders in business, non-profits, academicians, researchers, and students looking for research on how organizations can thrive and adapt due to emerging global disruptions as well as local or internal disruptions.
Author: Gyamfi, Albert
Publisher: IGI Global
ISBN: 1799867943
Category : Business & Economics
Languages : en
Pages : 275
Get Book
Book Description
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.
Author: Kaur, Gurjit
Publisher: IGI Global
ISBN: 1522574336
Category : Computers
Languages : en
Pages : 568
Get Book
Book Description
The increase in connected devices in the internet of things (IoT) is leading to an exponential increase in the data that an organization is required to manage. To successfully utilize IoT in businesses, big data analytics are necessary in order to efficiently sort through the increased data. The combination of big data and IoT can thus enable new monitoring services and powerful processing of sensory data streams. The Handbook of Research on Big Data and the IoT is a pivotal reference source that provides vital research on emerging trends and recent innovative applications of big data and IoT, challenges facing organizations and the implications of these technologies on society, and best practices for their implementation. While highlighting topics such as bootstrapping, data fusion, and graph mining, this publication is ideally designed for IT specialists, managers, policymakers, analysts, software engineers, academicians, and researchers.
Author: Swarnalatha, P.
Publisher: IGI Global
ISBN: 1522536442
Category : Technology & Engineering
Languages : en
Pages : 253
Get Book
Book Description
The scope of image processing and recognition has broadened due to the gap in scientific visualization. Thus, new imaging techniques have developed, and it is imperative to study this progression for optimal utilization. Big Data Analytics for Satellite Image Processing and Remote Sensing is a critical scholarly resource that examines the challenges and difficulties of implementing big data in image processing for remote sensing and related areas. Featuring coverage on a broad range of topics, such as distributed computing, parallel processing, and spatial data, this book is geared towards scientists, professionals, researchers, and academicians seeking current research on the use of big data analytics in satellite image processing and remote sensing.
Author: Jennex, Murray Eugene
Publisher: IGI Global
ISBN: 1799821919
Category : Business & Economics
Languages : en
Pages : 450
Get Book
Book Description
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: Yogesh Malhotra
Publisher: IGI Global
ISBN: 9781878289735
Category : Computers
Languages : en
Pages : 408
Get Book
Book Description
Annotation Twenty essays present current research on knowledge management as related to effective design of new organization forms. The first section of the book covers frameworks, models, analyses, case studies and research on the integration of knowledge management within virtual organizations, virtual teams and virtual communities of practice. Themes covered in this section include business model innovation; design of virtual organization forms; net-based models; techniques for enabling knowledge capture, sharing and transfer; and collaboration and competition at intra- and inter-organizational levels. The focus of the second half is on key success factors that are important for realizing virtual models of business transformation. Topics include the role of organizational control systems, the role of internal and external employees and customers in creation of organizational knowledge, and information quality issues. Annotation c. Book News, Inc., Portland, OR (booknews.com).
Author: Singh, Manoj Kumar
Publisher: IGI Global
ISBN: 1522501835
Category : Computers
Languages : en
Pages : 324
Get Book
Book Description
“Big data” has become a commonly used term to describe large-scale and complex data sets which are difficult to manage and analyze using standard data management methodologies. With applications across sectors and fields of study, the implementation and possible uses of big data are limitless. Effective Big Data Management and Opportunities for Implementation explores emerging research on the ever-growing field of big data and facilitates further knowledge development on methods for handling and interpreting large data sets. Providing multi-disciplinary perspectives fueled by international research, this publication is designed for use by data analysts, IT professionals, researchers, and graduate-level students interested in learning about the latest trends and concepts in big data.
