Analytics And Knowledge Management

Author : Suliman Hawamdeh,Hsia-Ching Chang
Publisher : CRC Press
Page : 333 pages
File Size : 52,9 Mb
Release : 2018-08-06
Category : Computers
ISBN : 9781351806992

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Analytics and Knowledge Management by Suliman Hawamdeh,Hsia-Ching Chang Pdf

The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics technique. Analytics and Knowledge Management examines the role of analytics in knowledge management and the integration of big data theories, methods, and techniques into an organizational knowledge management framework. Its chapters written by researchers and professionals provide insight into theories, models, techniques, and applications with case studies examining the use of analytics in organizations. The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics techniques. Analytics, on the other hand, is the examination, interpretation, and discovery of meaningful patterns, trends, and knowledge from data and textual information. It provides the basis for knowledge discovery and completes the cycle in which knowledge management and knowledge utilization happen. Organizations should develop knowledge focuses on data quality, application domain, selecting analytics techniques, and on how to take actions based on patterns and insights derived from analytics. Case studies in the book explore how to perform analytics on social networking and user-based data to develop knowledge. One case explores analyze data from Twitter feeds. Another examines the analysis of data obtained through user feedback. One chapter introduces the definitions and processes of social media analytics from different perspectives as well as focuses on techniques and tools used for social media analytics. Data visualization has a critical role in the advancement of modern data analytics, particularly in the field of business intelligence and analytics. It can guide managers in understanding market trends and customer purchasing patterns over time. The book illustrates various data visualization tools that can support answering different types of business questions to improve profits and customer relationships. This insightful reference concludes with a chapter on the critical issue of cybersecurity. It examines the process of collecting and organizing data as well as reviewing various tools for text analysis and data analytics and discusses dealing with collections of large datasets and a great deal of diverse data types from legacy system to social networks platforms.

Author : Jay Liebowitz
Publisher : Edward Elgar Publishing
Page : 256 pages
File Size : 41,8 Mb
Release : 2021-01-29
Category : Business & Economics
ISBN : 9781800370623

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A Research Agenda for Knowledge Management and Analytics by Jay Liebowitz Pdf

Leveraging the knowledge gained from Knowledge Management and from the growing fields of Analytics and Artificial Intelligence (AI), this Research Agenda highlights the research gaps, issues, applications, challenges and opportunities related to Knowledge Management (KM). Exploring synergies between KM and emerging technologies, leading international scholars and practitioners examine KM from a multidisciplinary perspective, demonstrating the ways in which knowledge sharing worldwide can be enhanced in order to better society and improve organisational performance.

Author : Suliman Hawamdeh,Hsia-Ching Chang
Publisher : CRC Press
Page : 333 pages
File Size : 49,6 Mb
Release : 2018-08-06
Category : Computers
ISBN : 9781351806992

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Analytics and Knowledge Management by Suliman Hawamdeh,Hsia-Ching Chang Pdf

The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics technique. Analytics and Knowledge Management examines the role of analytics in knowledge management and the integration of big data theories, methods, and techniques into an organizational knowledge management framework. Its chapters written by researchers and professionals provide insight into theories, models, techniques, and applications with case studies examining the use of analytics in organizations. The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics techniques. Analytics, on the other hand, is the examination, interpretation, and discovery of meaningful patterns, trends, and knowledge from data and textual information. It provides the basis for knowledge discovery and completes the cycle in which knowledge management and knowledge utilization happen. Organizations should develop knowledge focuses on data quality, application domain, selecting analytics techniques, and on how to take actions based on patterns and insights derived from analytics. Case studies in the book explore how to perform analytics on social networking and user-based data to develop knowledge. One case explores analyze data from Twitter feeds. Another examines the analysis of data obtained through user feedback. One chapter introduces the definitions and processes of social media analytics from different perspectives as well as focuses on techniques and tools used for social media analytics. Data visualization has a critical role in the advancement of modern data analytics, particularly in the field of business intelligence and analytics. It can guide managers in understanding market trends and customer purchasing patterns over time. The book illustrates various data visualization tools that can support answering different types of business questions to improve profits and customer relationships. This insightful reference concludes with a chapter on the critical issue of cybersecurity. It examines the process of collecting and organizing data as well as reviewing various tools for text analysis and data analytics and discusses dealing with collections of large datasets and a great deal of diverse data types from legacy system to social networks platforms.

Author : Abdalmuttaleb M.A. Musleh Al-Sartawi,Anjum Razzaque,Mukhtar Alhashimi,Allam Hamdan
Publisher : Engineering Science Reference
Page : 325 pages
File Size : 41,9 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 : Brian T. McBreen,John Silson,Denise Bedford
Publisher : Emerald Group Publishing
Page : 160 pages
File Size : 47,8 Mb
Release : 2022-01-18
Category : Business & Economics
ISBN : 9781802621792

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Organizational Intelligence and Knowledge Analytics by Brian T. McBreen,John Silson,Denise Bedford Pdf

Organizational Intelligence and Knowledge Analytics expands the traditional intelligence life cycle to a new framework - Design-Analyze-Automate-Accelerate - and clearly lays out the alignments between knowledge capital and intelligence strategies.

Author : INTERNATIONAL MANAGEMENT SCHOOL.
Publisher : Unknown
Page : 128 pages
File Size : 44,8 Mb
Release : 2020
Category : Electronic
ISBN : 8622987779

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DATA ANALYTICS AND KNOWLEDGE MANAGEMENT by INTERNATIONAL MANAGEMENT SCHOOL. Pdf

Author : Abdalmuttaleb M.A. Musleh Al-Sartawi,Anjum Razzaque,Mukhtar Alhashimi,Allam Hamdan
Publisher : Unknown
Page : 325 pages
File Size : 44,9 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"--

Author : Gyamfi, Albert,Williams, Idongesit
Publisher : IGI Global
Page : 313 pages
File Size : 43,6 Mb
Release : 2019-01-25
Category : Computers
ISBN : 9781522575207

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Big Data and Knowledge Sharing in Virtual Organizations by Gyamfi, Albert,Williams, Idongesit Pdf

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 : Strydom, Sheryl Kruger,Strydom, Moses
Publisher : IGI Global
Page : 304 pages
File Size : 49,6 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 : Brian T. McBreen,John Silson,Denise Bedford
Publisher : Emerald Group Publishing
Page : 160 pages
File Size : 49,7 Mb
Release : 2022-01-18
Category : Business & Economics
ISBN : 9781802621792

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Organizational Intelligence and Knowledge Analytics by Brian T. McBreen,John Silson,Denise Bedford Pdf

Organizational Intelligence and Knowledge Analytics expands the traditional intelligence life cycle to a new framework - Design-Analyze-Automate-Accelerate - and clearly lays out the alignments between knowledge capital and intelligence strategies.

Author : Ivan Mistrik,Matthias Galster,Bruce R. Maxim,Bedir Tekinerdogan
Publisher : CRC Press
Page : 342 pages
File Size : 54,6 Mb
Release : 2021-06-15
Category : Computers
ISBN : 9781000387414

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Knowledge Management in the Development of Data-Intensive Systems by Ivan Mistrik,Matthias Galster,Bruce R. Maxim,Bedir Tekinerdogan Pdf

Data-intensive systems are software applications that process and generate Big Data. Data-intensive systems support the use of large amounts of data strategically and efficiently to provide intelligence. For example, examining industrial sensor data or business process data can enhance production, guide proactive improvements of development processes, or optimize supply chain systems. Designing data-intensive software systems is difficult because distribution of knowledge across stakeholders creates a symmetry of ignorance, because a shared vision of the future requires the development of new knowledge that extends and synthesizes existing knowledge. Knowledge Management in the Development of Data-Intensive Systems addresses new challenges arising from knowledge management in the development of data-intensive software systems. These challenges concern requirements, architectural design, detailed design, implementation and maintenance. The book covers the current state and future directions of knowledge management in development of data-intensive software systems. The book features both academic and industrial contributions which discuss the role software engineering can play for addressing challenges that confront developing, maintaining and evolving systems;data-intensive software systems of cloud and mobile services; and the scalability requirements they imply. The book features software engineering approaches that can efficiently deal with data-intensive systems as well as applications and use cases benefiting from data-intensive systems. Providing a comprehensive reference on the notion of data-intensive systems from a technical and non-technical perspective, the book focuses uniquely on software engineering and knowledge management in the design and maintenance of data-intensive systems. The book covers constructing, deploying, and maintaining high quality software products and software engineering in and for dynamic and flexible environments. This book provides a holistic guide for those who need to understand the impact of variability on all aspects of the software life cycle. It leverages practical experience and evidence to look ahead at the challenges faced by organizations in a fast-moving world with increasingly fast-changing customer requirements and expectations.

Author : Gyamfi, Albert,Williams, Idongesit
Publisher : IGI Global
Page : 275 pages
File Size : 52,5 Mb
Release : 2021-06-18
Category : Business & Economics
ISBN : 9781799867944

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Digital Technology Advancements in Knowledge Management by Gyamfi, Albert,Williams, Idongesit Pdf

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 : Suliman Al-Hawamdeh
Publisher : Elsevier
Page : 222 pages
File Size : 53,8 Mb
Release : 2003-10-31
Category : Business & Economics
ISBN : 9781780631936

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Knowledge Management by Suliman Al-Hawamdeh Pdf

This book serves as a reference for individuals interested in knowledge management (KM) and educational issues surrounding KM. It looks at KM as an emerging profession and the need to educate a new generation of knowledge professionals to deal with managing knowledge on the one hand and managing knowledge workers on the other hand. In particular, it examines the skills and competencies of knowledge professionals; and how educational programs can address these demands – covering such issues as determining the optimal mix of subjects from the various disciplines that develop the requisite professional competencies. The first book to cover KM education Adopts a multidisciplinary approach to KM education Based on the many years of experience of the author in KM education

Author : Shaofeng Liu
Publisher : Kogan Page Publishers
Page : 385 pages
File Size : 50,7 Mb
Release : 2020-01-03
Category : Business & Economics
ISBN : 9780749496876

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Knowledge Management by Shaofeng Liu Pdf

As knowledge economies become increasingly important around the world, it is essential that organizations are able to transform their knowledge into a competitive advantage. This textbook offers an interdisciplinary approach to knowledge management written specifically for postgraduate students in business and management schools. Knowledge Management presents classic and advanced concepts, models and frameworks using a clear logical structure, which covers building knowledge competence, the knowledge lifecycle, and integration of knowledge management with business decision making. An overall framework illustrates links between chapters and ensures readers can gain a body of actionable knowledge rather than learning isolated, uncontextualized topics. Based on cutting-edge research findings and covering the most advanced IT and IS technologies, this book emphasises the need for knowledge management to span boundaries across organizations, supply chains and partnerships, rather than being limited to individual learning and sharing within businesses. Knowledge Management is international in scope and includes real world case studies and role play scenarios to show how theories are applied in practice, and "think back" and "critique discussion" questions to encourage reflective learning and critical thinking. This indispensable text provides a dynamic picture of the evolution of knowledge management and demonstrates its full potential to enable better business decisions. Accompanying online resources include PowerPoint slides for lecturers and exercise questions for students.

Author : Merlo, Tereza Raquel
Publisher : IGI Global
Page : 307 pages
File Size : 42,7 Mb
Release : 2022-06-24
Category : Business & Economics
ISBN : 9781668444337

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Understanding, Implementing, and Evaluating Knowledge Management in Business Settings by Merlo, Tereza Raquel Pdf

Although there are numerous publications in the field of knowledge management (KM), there are still gaps in the literature regarding the aspects of KM that reflect new technology adoption and a deeper analysis discussing the interlinked process between KM and data analytics in business process improvement. It is essential for business leaders to understand the role and responsibilities of leaders for the adoption and consolidation of a KM system that is effective and profitable. Understanding, Implementing, and Evaluating Knowledge Management in Business Settings provides a comprehensive approach to KM concepts and practices in corporations and business organizations. Covering topics such as information overload, knowledge sharing adoption, and collective wisdom, this premier reference source is a comprehensive and essential resource for business executives, managers, IT specialists and consultants, libraries, students, entrepreneurs, researchers, and academicians.