Management in the Era of Big Data: Issues and Challenges, 1st Edition (Hardback) book cover

Management in the Era of Big Data

Issues and Challenges, 1st Edition

Edited by Joanna Paliszkiewicz

Auerbach Publications

232 pages | 20 B/W Illus.

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Hardback: 9780367895570
pub: 2020-07-09
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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 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 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 make decisions and optimize the business. The 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, the book unifies research on Big Data in management to stimulate new directions for academic investigation as well as practice.

Table of Contents

Section I. Big Data and Management: Theoretical Foundations

Chapter 1. Big Data Analytics: Innovation Management and Value Creation

Anna Jasiulewicz, Piotr Pietrzak, Barbara Wyrzykowska

Chapter 2. Human Resource Management in the Era of Big Data

Janusz Strużyna, Krzysztof Kania

Chapter 3. Knowledge Management and Big Data in Business

Jerzy Gołuchowski, Barbara Filipczyk

Chapter 4. Information Management and the Role of Information Technology in a Big Data Era

Hubert Szczepaniuk, Konrad Michalski

Chapter 5. Financial Management in the Big Data Era

Magdalena Mądra–Sawicka

Chapter 6. Ethics and Trust to Big Data in Management: Balancing Risk and Innovation

Grzegorz Polok, Grzegorz Filipczyk, Anna Losa-Jonczyk

Section II. Big Data in Management: Applications, Prospects, and Challenges

Chapter 7. Big Data in Modern Farm Management

Monika Gębska

Chapter 8. Big Data Analytics and Corporate Social Responsibility: An Example of the Agribusiness Sector

Marcin Ratajczak, Ewa Stawicka

Chapter 9. Big Data Analytics in Tourism: Overview and Trends

Katarzyna Łukasiewicz

Chapter 10. Use of Big Data for Assessment of Environmental Pressures from Agricultural Production

Adam Wąs, Piotr Sulewski, Edward Majewski, Paweł Kobus

Chapter 11. Big Data as a Key Aspect of Customer Relationship Management: An example of the Restaurant Industry

Agnieszka Werenowska

Chapter 12. Blockchain and Big Data: Example of Management of Beef Production

Sławomir Jarka

Chapter 13. Big Data Analysis for Management from Solow’s Paradox Perspective in Polish Industry

Piotr Jałowiecki

Chapter 14. Big Data on Commuting – Application for Business

Nina Drejerska

Chapter 15. How to Support Real-time Quantitative Big Data by More Future Orientated Qualitative Data for Understanding Everyday Innovative Businesses?

Teppo Heimo, Sara Tilabi, Josu Takala

About the Editor

Joanna Paliszkiewicz work as a professor of Warsaw University of Life Sciences (SGGW). She is the director of the Management Institute. She is also an adjuctant professor at the University of Vaasa in Finland. She is recognized in Poland and abroad for her expertise in management issues, especially knowledge management and trust management. She has published more than 200 papers and manuscripts. She is also the author, co-author, or editor of 10 books.

She has been a part of many scholarship endeavors in the USA, Ireland, Slovakia, Taiwan, the UK, and Hungary. She has actively participated in presenting research results at various international conferences. Currently, Dr. Paliszkiewicz serves as the deputy editor-in-chief of the Management and Production Engineering Review. She is an associated editor for the Journal of Computer Information Systems. Dr. Paliszkiewicz is the Vice President of the Polish Association for Production Engineering. She also serves as chair of the International Cooperation in European Business Club. Dr. Paliszkiewicz serves as the Vice President of the International Association for Computer Information Systems in the USA. She is a board member of the Intellectual Capital Accreditation Association. In addition, she serves as a member of the editorial board of several reputable and high impact international journals such as Expert System with Application. Dr. Paliszkiewicz has successfully supervised many Ph.D. students leading them to completion of their degrees. She has also served as an external reviewer for several Ph.D. students in Poland, India, and Finland. She is actively involved in participating in scientific committees of many international conferences. Prof. Joanna Paliszkiewicz was named the 2013 Computer Educator of the Year by IACIS.

About the Series

Data Analytics Applications

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Subject Categories

BISAC Subject Codes/Headings:
BUSINESS & ECONOMICS / Management Science
COMPUTERS / Database Management / Data Mining
COMPUTERS / Information Technology