Overview
- Focuses on the link between analytics and cognitive processes in organizations
- Offers empirical support for theories of framing business events from large amounts of diverse business data
- Fills a gap related to the key dimensions of business analysis
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (10 chapters)
Keywords
About this book
This book explores the role that data analysis plays in the managerial decision-making process. The author presents the notion of "beyond analytics," which proposes that through data collection managers evaluate patterns in business processes through models of cognitive representation, framing and modeling, and knowledge creation in businesses. The book focuses on how the massive amounts of business data can be reduced to manageable volumes, thus allowing managers to make informed decisions. Further, it relates beyond analytics to HR aspects of the business and succession planning. This book will inform organizational behavioral theorists how the management of data impacts the decision-making process in organizations.
Authors and Affiliations
About the author
Eliezer Geisler is Distinguished Professor Emeritus at the Stuart School of Business, Illinois Institute of Technology, USA. He is the author and co-author of over 80 articles in refereed journals and a similar number of publications in professional and non-academic journals. Geisler is the author of a dozen books, including: Managing the Aftermath of Radical Corporate Reengineering (1997); Methodology, Theory and Knowledge in the Managerial and Organizational Sciences (1999); The Metrics of Science and Technology (2000); Creating Value with Science and Technology (2001); Installing and Managing Workable Knowledge Management Systems (2003, with A. Rubenstein), and Principles of Knowledge Management (2009).
Bibliographic Information
Book Title: Beyond Business Analytics
Book Subtitle: The Foundations of Behavioral Perspective Theory
Authors: Eliezer Geisler
DOI: https://doi.org/10.1007/978-3-030-43718-3
Publisher: Palgrave Macmillan Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-43717-6Published: 03 September 2022
Softcover ISBN: 978-3-030-43720-6Published: 04 September 2023
eBook ISBN: 978-3-030-43718-3Published: 02 September 2022
Edition Number: 1
Number of Pages: XI, 221
Number of Illustrations: 2 b/w illustrations
Topics: Big Data/Analytics, Business Information Systems, Business Process Management