Organizations have always been dependent on communication, information, technology and their management. The development of information technology has sped up the importance of management information systems, which is an emerging discipline combining various aspects of informatics, information technology, and business management. Understanding the impact of information on today’s organizations requires technological and managerial views, which are both offered by management information systems.
Business management is not only about generating greater returns and using new technologies for developing businesses to reach future goals. Business management also means generating better revenue performance if plans are diligently followed.
It is part of business management to have an ear to the ground of global economic trends, changing environmental conditions and preferences, as well as the behavior of value chain partners. While, until now, business management and management information systems are mostly treated as independent fields, this publication takes an interest in the cooperation of the two. Its contributions focus on both research areas and practical approaches, in turn showing novelties in the area of enterprise and business management.
Main topics covered in this book are technology management, software engineering, knowledge management, innovation management and social media management.
This book adopts an international view, combines theory and practice, and is authored for researchers, lecturers, students as well as consultants and practitioners.
- 1–26 Integration of Industry 4.0 Principles into Reverse Logistics Operations for Improved Value Creation: A Case Study of a Mattress Recycling Company 1–26
- 27–66 Dynamic Customer Service Levels: Evolving Safety Stock Requirements for Changing Business Needs 27–66
- 91–114 Transformation of Shop Floor with Industry 4.0: Guidelines for Manufacturing Companies 91–114
- 205–226 An Evaluative Perspective from Institutional Logic and Pragmatism on the Relationship between Industry 4.0 and Outsourcing 205–226
- 253–286 Machine learning approaches for prediction of service times in health information systems 253–286
- 317–346 Alternative approaches to traditional methods for growth parameters of fisheries industry: Artificial Neural Networks 317–346
- 347–384 Would the Benefits Created by Industry 4.0 Via Innovations Set the Consumers Free of Planned Obsolescence? 347–384