Enterprise & Business Management

doi:10.5771/9783828872301

Enterprise & Business Management

A Handbook for Educators, Consultants, and Practitioners

Reihe: Enterprise & Business Management

1. Auflage 2020

Kein Zugriff

doi.org/10.5771/9783828872301
ISBN print: 978-3-8288-4255-7
ISBN online: 978-3-8288-7230-1
Tectum, Baden-Baden Tectum, Baden-Baden

Im Shop erwerben

Abstract

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.

Kapitel Ausklappen | EinklappenAutorenSeiten
I–XIV Titelei/Inhaltsverzeichnis I–XIV
1–26 Integration of Industry 4.0 Principles into Reverse Logistics Operations for Improved Value Creation: A Case Study of a Mattress Recycling Company Özden Tozanlı, Elif Kongar Özden Tozanlı, Elif Kongar 1–26
- Learning Objectives
- Chapter Outline
- Keywords
  - 1 Introduction
  - 2 The Basics of Supply Chain Management
    - 2.1 The Role of Reverse Logistics in Sustainable Supply Chain Operations
  - 3 Industry 4.0: A Disruptive Industrial Movement
    - 3.1 Impacts of Industry 4.0 on Supply Chain Operations towards Sustainability
  - 4 Reverse Logistics Network Design for Mattress Recyclers: A Case Study
    - 4.1 A Qualitative Research Approach
  - 5 Conclusions
  - 6 References
  - 7 Key Terms
  - 8 Questions for Further Study
  - 9 Exercises
  - 10 Further Reading
27–66 Dynamic Customer Service Levels: Evolving Safety Stock Requirements for Changing Business Needs Daniel Patrick Covert, Joaquin Alberto Ortiz Millan, Tugba Efendigil Daniel Patrick Covert, Joaquin Alberto Ortiz Millan, Tugba Efendigil 27–66
- Learning Objectives
- Chapter Outline
- Keywords
  - 1. Introduction
    - 1.1 Problem Statement and Company Background
    - 1.2 Motivation
  - 2 Literature Review
    - 2.1 Retail Applications
    - 2.2 SKU Segmentation
    - 2.3 Inventory Management
  - 3 Methodology
    - 3.1 Operational Context
      - 3.1.1 Current System Design
      - 3.1.2 Interviews and Business Context
    - 3.2 Decision Frame
    - 3.3 Inventory policy
      - 3.3.1 Ordering Flow
      - 3.3.2 Decision Frame in Safety Stock Calculation
    - 3.4 Simulation
      - 3.4.1 System Dynamics Model Parameters
      - 3.4.2 DPS Simulation Parameters
  - 4 Results
    - 4.1 Standard Deviation of Demand or Forecast Error
    - 4.2 Fixed vs. Dynamic Cycle Service Levels
    - 4.3 Improvements on Dynamic Cycle Service Levels
  - 5 Discussion
    - 5.1 System Dynamics Model in Practice
      - 5.1.1 Operations of System Dynamics Model
    - 5.2 Benefits of Using Dynamic Cycle Service Levels
  - 6 Conclusion
  - 7 References
  - 8 Key Terms
  - 9 Questions for Further Study
  - 10 Exercises
  - 11 Further Reading
67–90 Industry 4.0: Is Your Country Ready? Serpil Erol, Gül Didem Batur Sir Serpil Erol, Gül Didem Batur Sir 67–90
- Learning Objectives
- Chapter Outline
- Keywords
  - 1 Introduction
  - 2 Readiness for Industry 4.0
  - 3 A Roadmap for Industry 4.0
  - 4 Case Study: Current Situation in Turkey
  - Conclusion
  - References
  - Key Terms
  - Questions for Further Study
  - Exercises
  - Further Reading
91–114 Transformation of Shop Floor with Industry 4.0: Guidelines for Manufacturing Companies Fatma DEMIRCAN KESKIN, Haluk SOYUER, Hakan OZKARA Fatma DEMIRCAN KESKIN, Haluk SOYUER, Hakan OZKARA 91–114
- Learning Objectives
- Chapter Outline
- Keywords
  - 1 Introduction
  - 2 Effects of Industry 4.0 on the Shop-Floor
  - 3 Literature Review
  - 4 Research Methodology
  - 5 Analysis
    - 5.1 Pre-Industry 4.0 Stage
    - 5.2 Industry 4.0 Initiation Stage
    - 5.3 Industry 4.0 Implementation Phase
  - 6 Conclusion
  - References
  - Key Terms
  - Questions for Further Study
  - Exercises
  - Further Reading
115–140 A Review on Cold Chain Management for Industry 4.0 Cagla Ediz Cagla Ediz 115–140
- Learning Objectives
- Chapter Outline
- Keywords
  - 1 Introduction
  - 2 Basic Parameters of Industry 4.0
    - 2.1 The Principles of Industry 4.0 Technology
    - 2.2 Factors Affecting Industry 4.0
  - 3 Current Situation of Cold Chain Management in Sample Company
    - 3.1 Milk Supply Process of Sample Company
    - 3.2 Acceptance of Milk and Milk Processing
    - 3.3. Distribution of Dairy Products
      - 3.3.1 CAN Bus (Controller Area Network Bus) System
      - 3.3.2 GPS (Global Positioning System)
      - 3.3.3 Temperature and Moisture Sensors
  - 4 Current Situation Assessment
  - 5 Future Expectations
    - 5.1 Traceability of Product and Service Using RFID
    - 5.2 Interoperability with IoT and Cyber Physical Systems
    - 5.3 Intelligent Systems
    - 5.4 Robots, Automatic Machines and Unmanned Transportation Vehicles
    - 5.5 Customized Services and Products
    - 5.6 Globalizing Systems
  - 6 Threats Coming with Industry 4.0
  - 7 Conclusion
  - References
  - Key Terms
  - Questions for Further Study
  - Exercises
  - Further Reading
141–174 Connection between industry 4.0 and smart factories Elif Nurten, Cagla Seneler Elif Nurten, Cagla Seneler 141–174
- Learning Objectives
- Chapter Outline
- Keywords
  - 1 Introduction
  - 2 Overview of Industry 4.0
    - 2.1 Cyber physical systems
    - 2.2 Industry 4.0 and Industrial Internet of Things (IIoT) difference
  - 3 Smart Factories
  - 4 Relation between Industry 4.0 and Smart Factory
  - 5 Conclusions
  - 6 References
  - Key Terms
  - Questions for Further Study
  - Exercises
  - Further Reading
175–178 Lesson ticker: Technology Management Bryce Rowan, Alptekin Erkollar, Birgit Oberer Bryce Rowan, Alptekin Erkollar, Birgit Oberer 175–178
- Classification of technology
- Relationship between business and technology
- Business view on managing technologies
- Technology management and innovation
- How to review technological innovation?
- Relationship between technology and market
- How to choose technology management methodologies? Which factors have to be considered?
- Prerequisites for a successful methodology?
- Benefits of using a methodology
- When you have chosen a methodology review it consequently
- Strategic technology lifecycle
179–204 Techno-Parks on the Digital Transformation Gizem ATAK, Ferhan ÇEBİ Gizem ATAK, Ferhan ÇEBİ 179–204
- Learnign Objectives
- Chapter Outline
- Keywords
  - 1 Introduction
  - 2 Industrial Revolutions
    - 2.1 The First Industrial Revolution
    - 2.2 The Second Industrial Revolution
    - 2.3 The Third Industrial Revolution
    - 2.4 The Fourth Industrial Revolution
  - 3 Industry 4.0 Concept
    - 3.1 Technologies of Industry 4.0
  - 4 Techno Parks
  - 5 Methodology and Findings of Research
    - 5.1 Measures
      - 5.1.1 The level of awareness about Industry 4.0
      - 5.1.2 Technologies of Industry 4.0
      - 5.1.3 Application areas
      - 5.1.4 Effect of Size and Establishment Year
  - Conclusion
  - References
  - Key Terms
  - Questions for Further Study
  - Exercises
  - Further Reading
205–226 An Evaluative Perspective from Institutional Logic and Pragmatism on the Relationship between Industry 4.0 and Outsourcing Mustafa Aldülmetin DİNÇER, Yasemin ÖZDEMİR Mustafa Aldülmetin DİNÇER, Yasemin ÖZDEMİR 205–226
- Learning Objectives
- Chapter Outline
- Keywords
  - 1 What is Industry 4.0?
    - 1.1 Why is Industry 4.0 Important?
    - 1.2 What is Outsourcing?
    - 1.3 Why do Organizations Outsource?
    - 1.4 Some Samples for the Outsourcing Reasons in Different Countries
  - 2 Convergence Point of These Two Phenomena „Outsourcing and Industry 4.0“: Technology
  - 3 The Relationship between the Institutional Logic, Pragmatism, Industry 4.0 and Outsourcing
  - Conclusion
  - References
  - Key Terms
  - Questions for Further Studies in the Field
  - Exercises
  - Further Reading
227–230 Lesson ticker: Software Engineering Birgit Oberer, Shi-Shuenn Chang Birgit Oberer, Shi-Shuenn Chang 227–230
- Definitions
- Stakeholders
- Software products
- Software product evaluation criteria
- Attributes of good software
- Classification of software process models
- Generic software process models
- Engineering process model
- Hybrid process models
- Spiral model
- Potential problems of process models
- Process visibility
- Questions on Software engineering
231–252 Usage of Enterprise Resource Planning (ERP) in Turkey and Information Safety Recep Benzer, Emre Akar Recep Benzer, Emre Akar 231–252
- Learning Objectives
- Chapter Outline
- Keywords
  - 1 Introduction
  - 2 Definition and Scope of ERP
  - 3 Development of ERP System
  - 4 Fundamental Features of ERP System
  - 5 Components of ERP System
  - 6 ERP Software in Turkey
  - 7 ERP Systems
    - 7.1 Foreign ERP Providers
    - 7.2 Turkey ERP Providers
  - 8 Definition of Information and Information Safety
  - 9 Information Safety at ERP
    - 9.1 ERP Information Safety Gaps
  - 10 Conclusions
  - 11 References
  - 12 Key Terms
  - 13 Questions for Further Study
  - 14 Exercises
  - 15 Further Reading
253–286 Machine learning approaches for prediction of service times in health information systems Mete Eminağaoğlu Mete Eminağaoğlu 253–286
- Learning Objectives
- Chapter Outline
- Keywords
  - 1 Introduction
  - 2 Background
  - 3 Artificial Neural Networks
  - 4 Materials and Methods
  - 5 Design and Implementation
  - 6 Results and Discussion
  - 7 Conclusions and Recommendations
  - 8 References
  - 9 Key TErms
  - 10 Questions for Further Study
  - 11 Exercises
  - 12 Further Reading
287–310 Application of Artificial Neural Networks in Growth Models Semra Benzer, Recep Benzer Semra Benzer, Recep Benzer 287–310
- Learning Objectives
- Chapter Outline
- Keywords
  - 1 Introduction
  - 2 Methodology
    - 2.1 Study area
    - 2.2 Data collection
    - 2.3 Length–weight relationship (LWR) equation
    - 2.4 Artificial Neural Networks (ANNs)
    - 2.5 Normalization
    - 2.6 Estimation Accuracy Validation
    - 2.7 Statistics
    - 2.8 Data Editing for MATLAB
  - 3 Literature Review
    - 3.1 Tinca tinca
    - 3.2 LENGTH˗WEIGHT RELATIONSHIPS (LWR)
    - 3.3 ARTIFICIAL NEURAL NETWORKS (ANNs)
  - 4 Results and Discussion
  - 5 References
  - 6 Key Terms
  - 7 Questions for Further Study
  - 8 Exercises
  - 9 Further Reading
311–316 Lesson ticker: Knowledge Management Alptekin Erkollar, Andor Darow, Ingeborg Zulechner Alptekin Erkollar, Andor Darow, Ingeborg Zulechner 311–316
- Definitions
- Knowledge generation
- Knowledge classification
- Transforming knowledge
- Tacit to Tacit
- Explicit to Tacit
- Tacit to Explicit
- Explicit to Explicit
- Knowledge management components
- Strategies, processes and metrics
- How to develop a knowledge strategy?
- Knowledge management architecture
- Aspects of Secure Knowledge Management
- Security Strategies
- Security processes
- Metrics
- Techniques
- Knowledge management cycle
- Knowledge management technologies
- People and systems
- People
- Systems
- Two ways to generate and use knowledge
- Knowledge cycle
- Levers
- Principles of effective learning
- understanding
- skills
- processes
- The goal of knowledge management metrics
317–346 Alternative approaches to traditional methods for growth parameters of fisheries industry: Artificial Neural Networks Recep Benzer, Semra Benzer Recep Benzer, Semra Benzer 317–346
- Learning Objectives
- Chapter Outline
- Keywords
  - 1 Introduction
  - 2 Methodology
    - 2.1 Study area
    - 2.2 Data collection
    - 2.3 Length–weight relationship (LWR) equation
    - 2.4 Artificial Neural Networks (ANNs)
    - 2.5 Normalization
    - 2.6 Estimation Accuracy Validation
    - 2.7 Statistics
    - 2.8 Data Editing for MATLAB
  - 3 Literature Review
  - 4 Results
  - 5 Discussion
  - 6 References
  - 7 Key Terms
  - 8 Questions for Further Study
  - 9 Exercises
  - 10 Further Reading
347–384 Would the Benefits Created by Industry 4.0 Via Innovations Set the Consumers Free of Planned Obsolescence? Sinem Zeliha Dalak, Cagla Seneler Sinem Zeliha Dalak, Cagla Seneler 347–384
- Learning Objectives
- Chapter Outline
- Keywords
  - 1 Introduction
    - 1.1 Definition and Evolution of Industry 4.0
  - 2 Nine Pillars of Industry 4.0
    - 2.1 Autonomous Robots
    - 2.2 Big Data and Analytics
    - 2.3 Simulation
    - 2.4 System Integration
    - 2.5 Cybersecurity
    - 2.6 The Industrial Internet of Things (IIoT)
    - 2.7 The Cloud
    - 2.8 Additive Manufacturing
    - 2.9 Augmented Reality
  - 3 Positive and Negative Effects of Innovations Brought by Industry 4.0
    - 3.1 Companies and Overall Economy
    - 3.2 Managers and Employees
    - 3.3 Countries, Regions, Cities and Transnational Relations
    - 3.4 Individual and the Society
  - 4 Overview of Planned Obsolescence
    - 4.1 Definition and History of Planned Obsolescence
    - 4.2 Types of Planned Obsolescence
      - 4.2.1 Obsolescence of Function
      - 4.2.2 Obsolescence of Quality
      - 4.2.3 Obsolescence of Desirability
  - 5 Conclusions
  - 6 References
  - Key Terms
  - Questions for Further Study
  - Exercises
  - Further Reading
385–406 Industry 4.0 and Big Data Literature Review Burcu OZCAN, Cevher HİLAL AYTAC Burcu OZCAN, Cevher HİLAL AYTAC 385–406
- Learning Objectives
- Chapter Outline
- Keywords
  - 1 Introduction
  - 2 Big Data
    - 2.1 Literature Review
  - 3 Conclusion
  - References
  - Key Terms
  - Questions for Further Study
  - Exercises
  - Further Reading
407–412 About the Chapter Contributors 407–412

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