Crowdsourcing and Knowledge Management in Contemporary Business Environments - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Crowdsourcing and Knowledge Management in Contemporary Business Environments write by Regina Lenart-Gansiniec. This book was released on 2018-08-17. Crowdsourcing and Knowledge Management in Contemporary Business Environments available in PDF, EPUB and Kindle. In an era of an economy based on knowledge and Web 2.0 technology, knowledge is the foundation for improving the decision-making processes and relations between people both in and outside of an organization. Providing new and unique sources of knowledge outside organizations enables innovation and shapes competitive advantage. Crowdsourcing and Knowledge Management in Contemporary Business Environments is a collection of innovative research on the methods and applications of crowdsourcing in collaboration, idea implementation, and organizational development. Highlighting a range of topics including data analytics, crowd computing, and open innovation, this book is ideally designed for business managers, business professionals, business and social researchers, graduate-level students, and academicians seeking current research on the mechanisms of knowledge management in crowdsourcing.
Crowdsourcing and Knowledge Management in Contemporary Business Environments
Crowdsourcing and Knowledge Management in Contemporary Business Environments - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Crowdsourcing and Knowledge Management in Contemporary Business Environments write by Lenart-Gansiniec, Regina. This book was released on 2018-08-17. Crowdsourcing and Knowledge Management in Contemporary Business Environments available in PDF, EPUB and Kindle. In an era of an economy based on knowledge and Web 2.0 technology, knowledge is the foundation for improving the decision-making processes and relations between people both in and outside of an organization. Providing new and unique sources of knowledge outside organizations enables innovation and shapes competitive advantage. Crowdsourcing and Knowledge Management in Contemporary Business Environments is a collection of innovative research on the methods and applications of crowdsourcing in collaboration, idea implementation, and organizational development. Highlighting a range of topics including data analytics, crowd computing, and open innovation, this book is ideally designed for business managers, business professionals, business and social researchers, graduate-level students, and academicians seeking current research on the mechanisms of knowledge management in crowdsourcing.
Crowdsourcing and Probabilistic Decision-Making in Software Engineering: Emerging Research and Opportunities
Crowdsourcing and Probabilistic Decision-Making in Software Engineering: Emerging Research and Opportunities - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Crowdsourcing and Probabilistic Decision-Making in Software Engineering: Emerging Research and Opportunities write by Gupta, Varun. This book was released on 2019-08-30. Crowdsourcing and Probabilistic Decision-Making in Software Engineering: Emerging Research and Opportunities available in PDF, EPUB and Kindle. With today’s technological advancements, the evolution of software has led to various challenges regarding mass markets and crowds. High quality processing must be capable of handling large groups in an efficient manner without error. Solutions that have been applied include artificial intelligence and natural language processing, but extensive research in this area has yet to be undertaken. Crowdsourcing and Probabilistic Decision-Making in Software Engineering: Emerging Research and Opportunities is a pivotal reference source that provides vital research on the application of crowd-based software engineering and supports software engineers who want to improve the manner in which software is developed by increasing the accuracy of probabilistic reasoning to support their decision-making and getting automation support. While highlighting topics such as modeling techniques and programming practices, this publication is ideally designed for software developers, software engineers, computer engineers, executives, professionals, and researchers.
Tools and Techniques for Software Development in Large Organizations: Emerging Research and Opportunities
Tools and Techniques for Software Development in Large Organizations: Emerging Research and Opportunities - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Tools and Techniques for Software Development in Large Organizations: Emerging Research and Opportunities write by Pendyala, Vishnu. This book was released on 2019-12-20. Tools and Techniques for Software Development in Large Organizations: Emerging Research and Opportunities available in PDF, EPUB and Kindle. The development of software has expanded substantially in recent years. As these technologies continue to advance, well-known organizations have begun implementing these programs into the ways they conduct business. These large companies play a vital role in the economic environment, so understanding the software that they utilize is pertinent in many aspects. Researching and analyzing the tools that these corporations use will assist in the practice of software engineering and give other organizations an outline of how to successfully implement their own computational methods. Tools and Techniques for Software Development in Large Organizations: Emerging Research and Opportunities is an essential reference source that discusses advanced software methods that prominent companies have adopted to develop high quality products. This book will examine the various devices that organizations such as Google, Cisco, and Facebook have implemented into their production and development processes. Featuring research on topics such as database management, quality assurance, and machine learning, this book is ideally designed for software engineers, data scientists, developers, programmers, professors, researchers, and students seeking coverage on the advancement of software devices in today’s major corporations.
Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities
Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities write by Segall, Richard S.. This book was released on 2020-02-21. Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities available in PDF, EPUB and Kindle. With the development of computing technologies in today’s modernized world, software packages have become easily accessible. Open source software, specifically, is a popular method for solving certain issues in the field of computer science. One key challenge is analyzing big data due to the high amounts that organizations are processing. Researchers and professionals need research on the foundations of open source software programs and how they can successfully analyze statistical data. Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. Featuring coverage on a broad range of topics such as cluster analysis, time series forecasting, and machine learning, this book is ideally designed for researchers, developers, practitioners, engineers, academicians, scholars, and students who want to more fully understand in a brief and concise format the realm and technologies of open source software for big data and how it has been used to solve large-scale research problems in a multitude of disciplines.
