Information Systems Management in the Big Data Era

Information Systems Management in the Big Data Era
Author: Peter Lake
Publisher: Springer
Total Pages: 304
Release: 2015-01-12
Genre: Business & Economics
ISBN: 3319135031

This timely text/reference explores the business and technical issues involved in the management of information systems in the era of big data and beyond. Topics and features: presents review questions and discussion topics in each chapter for classroom group work and individual research assignments; discusses the potential use of a variety of big data tools and techniques in a business environment, explaining how these can fit within an information systems strategy; reviews existing theories and practices in information systems, and explores their continued relevance in the era of big data; describes the key technologies involved in information systems in general and big data in particular, placing these technologies in an historic context; suggests areas for further research in this fast moving domain; equips readers with an understanding of the important aspects of a data scientist’s job; provides hands-on experience to further assist in the understanding of the technologies involved.

Management in the Era of Big Data

Management in the Era of Big Data
Author: Joanna Paliszkiewicz
Publisher: CRC Press
Total Pages: 240
Release: 2020-06-18
Genre: Business & Economics
ISBN: 1000093670

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.

Information Systems in the Big Data Era

Information Systems in the Big Data Era
Author: Jan Mendling
Publisher: Springer
Total Pages: 280
Release: 2018-06-06
Genre: Computers
ISBN: 3319929011

This book constitutes the thoroughly refereed proceedings of the CAiSE Forum 2018 held in Tallinn, Estonia, as part of the 30th International Conference on Advanced Information Systems Engineering, CAiSE 2018, in June 2018. The CAiSE Forum is a place within the CAiSE conference for presenting and discussing new ideas and tools related to information systems engineering. Intended to serve as an interactive platform, the Forum aims at the presentation of emerging new topics and controversial positions, as well as demonstration of innovative systems, tools and applications. This year’s theme was “Information Systems in the Big Data Era”. The 10 full and 12 short papers in this volume were carefully reviewed and selected from 17 direct submissions (of which 2 full and 7 short papers were selected), plus 13 transfers from the CAiSE main conference (which resulted in another 8 full and 5 short papers).

Supply Chain Management in the Big Data Era

Supply Chain Management in the Big Data Era
Author: Chan, Hing Kai
Publisher: IGI Global
Total Pages: 319
Release: 2016-11-04
Genre: Business & Economics
ISBN: 1522509577

Technological advancements in recent years have led to significant developments within a variety of business applications. In particular, data-driven research provides ample opportunity for enterprise growth, if utilized efficiently. Supply Chain Management in the Big Data Era is an authoritative reference source for the latest scholarly material on the implementation of big data analytics for improved operations and supply chain processes. Highlighting emerging strategies from different industry perspectives, this book is ideally designed for managers, professionals, practitioners, and students interested in the most recent research on supply chain innovations.

Industrial Engineering in the Big Data Era

Industrial Engineering in the Big Data Era
Author: Fethi Calisir
Publisher: Springer
Total Pages: 500
Release: 2019-01-23
Genre: Technology & Engineering
ISBN: 3030033171

This book gathers extended versions of the best papers presented at the Global Joint Conference on Industrial Engineering and Its Application Areas (GJCIE), held in Nevsehir, Turkey, on June 21-22, 2018. They reports on industrial engineering methods and applications, with a special focus on the advantages and challenges posed by Big data in this field. The book covers a wide range of topics, including decision making, optimization, supply chain management and quality control.

Strategic Data-Based Wisdom in the Big Data Era

Strategic Data-Based Wisdom in the Big Data Era
Author: Girard, John
Publisher: IGI Global
Total Pages: 341
Release: 2015-02-28
Genre: Business & Economics
ISBN: 1466681233

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.

Management Information Systems

Management Information Systems
Author: Kenneth C. Laudon
Publisher: Pearson Educación
Total Pages: 618
Release: 2004
Genre: Business & Economics
ISBN: 9789702605287

Management Information Systems provides comprehensive and integrative coverage of essential new technologies, information system applications, and their impact on business models and managerial decision-making in an exciting and interactive manner. The twelfth edition focuses on the major changes that have been made in information technology over the past two years, and includes new opening, closing, and Interactive Session cases.

Big Data

Big Data
Author: John Storm Pedersen
Publisher: Edward Elgar Publishing
Total Pages: 413
Release: 2019
Genre: Political Science
ISBN: 1788112350

Promise, Application and Pitfalls

Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022)

Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022)
Author: Ahmed El-Hashash
Publisher: Springer Nature
Total Pages: 1083
Release: 2023-01-14
Genre: Social Science
ISBN: 9464630582

This is an open access book. As a leading role in the global megatrend of scientific innovation, China has been creating a more and more open environment for scientific innovation, increasing the depth and breadth of academic cooperation, and building a community of innovation that benefits all. These endeavors have made new contribution to globalization and creating a community of shared future. To adapt to this changing world and China's fast development in this new area, the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022) is to be held in April 15-17, 2022. This conference takes “bringing together global wisdom in scientific innovation to promote high-quality development" as the theme and focuses on research fields including information technology, education, big data, and Internet. This conference aims to expand channels of international academic exchange in science and technology, build a sharing platform of academic resources, promote scientific innovation on the global scale, improve academic cooperation between China and the outside world. It also aims to encourage exchange of information on research frontiers in different fields, connect the most advanced academic resources in China and abroad, turn research results into industrial solutions, bring together talents, technologies and capital to boost development.

Big Data Analytics for Cyber-Physical System in Smart City

Big Data Analytics for Cyber-Physical System in Smart City
Author: Mohammed Atiquzzaman
Publisher: Springer Nature
Total Pages: 1868
Release: 2020-12-17
Genre: Technology & Engineering
ISBN: 9813345721

This book gathers a selection of peer-reviewed papers presented at the second Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2020) conference, held in Shanghai, China, on 28–29 December 2020. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.