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.
Table of Contents:
Foreword by Jay Liebowitz, D.Sc. Foreword by Alex Koohang, PhD. Preface. Editor. Contributors. Section I. BIG DATA AND MANAGEMENT: THEORETICAL FOUNDATIONS. 1 Big Data Analytics: Innovation Management and Value Creation. 2 Human Resource Management in the Era of Big Data. 3 Knowledge Management and Big Data in Business. 4 Information Management and the Role of Information Technology in a Big Data Era. 5 Financial Management in the Big Data Era. 6 Ethics and Trust to Big Data in Management: Balancing Risk and Innovation. Section II. BIG DATA IN MANAGEMENT: APPLICATIONS, PROSPECTS, AND CHALLENGES. 7 Big Data in Modern Farm Management. 8 Big Data Analytics and Corporate Social Responsibility: An Example of the Agribusiness Sector. 9 Big Data Analytics in Tourism: Overview and Trends. 10 Use of Big Data for Assessment of Environmental Pressures from Agricultural Production. 11 Big Data as a Key Aspect of Customer Relationship Management: An Example of the Restaurant Industry. 12 Blockchain and Big Data: Example of Management of Beef Production. 13 Big Data Analysis for Management from Solow’s Paradox Perspective in Polish Industry. 14 Big Data on Commuting: Application for Business. 15 How to Support Real-Time Quantitative Big Data by More Future-Orientated Qualitative Data for Understanding Everyday Innovative Businesses. Index.
