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Industry 4.0 from the MIS Perspective

Edited By Sevinc Gülseçen, Zerrin Ayvaz Reis, Murat Gezer and Çiğdem Erol

Nowadays, an end-to-end industrial transformation called Industry 4.0 sets new goals for manufacturing and impacts on business outcomes. With some of its characteristic elements such as IoT (Internet of Things), digital twin simulation models, advanced robots, big data analytics, and virtual/augmented reality, Industry 4.0 is «de facto» going further. The book aims to provide relevant theoretical frameworks and the latest empirical research findings in the area of Management Information Systems (MIS) with the scope of Industry 4.0. The strategic role of Industry 4.0 in the distributed business environment and the necessity to protect and properly utilize its key elements at different levels of organizations as well as in society are discussed.

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Industry 4.0 as High Technology and Evaluation of Turkey (Uğur Keleş / Zümrüt Ecevit Satı)


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Uğur Keleş* and Zümrüt Ecevit Satı

Industry 4.0 as High Technology and Evaluation of Turkey

1.  Introduction

From the beginning of industrialization which started during the 18th century, technological developments have triggered significant transformations in industries and societies. These paradigm shifts, which are termed as industrial revolutions, are divided into four eras. Mechanization and steam power led to the first industrial revolution wave. Development of electrical power made way for assembly lines and mass production for the second revolution. Automation of production with the help of computers and electronics started the third age. Nowadays, a new visionary idea of modular and efficient manufacturing system (Lasi et al., 2014) is creating the new paradigm shift which is established as the fourth industrial revolution or “Industry 4.0”.

Industry 4.0 represents a digitalized value chain that includes a self-controlled and smart manufacturing process. To achieve this objective, the whole business model must comprise two dimensions: integration (Oesterreich & Teuteberg, 2016; Qin, Liu & Grosvenor, 2016; Roblek, Mesko & Krapez, 2016) and intelligence (Martin & Juergen, 2016; Qin, Liu & Grosvenor, 2016). Machines and humans are integrated through digital networks to communicate and transfer information while machines and logistics systems manufacture and transfer products by optimizing themselves with the network information simultaneously.

Most companies and universities have already started working on different aspects of Industry 4.0 (Drath & Horch, 2014), but many companies and organizations have also...

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