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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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A Scientometrics Study on Internet of Things (IoT) (Fatma Seray Demirkan / Sona Mardikyan / Bertan Badur)


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Fatma Seray Demirkan*, Sona Mardikyan and Bertan Badur

A Scientometrics Study on Internet of Things (IoT)

1.  Introduction

Antoine de Saint-Exupéry said, “The meaning of things lies not in the things themselves, but in our attitude towards them” ((De) Saint-Exupery, 1948). Likewise, for the Internet of Things (IoT) paradigm, the meaning does not lie in the objects but in the communication and connectivity between them. A simplified definition of the paradigm is denoted as follows: “The basic idea of this concept is the pervasive presence around us of a variety of things or objects – such as Radio-Frequency IDentification (RFID) tags, sensors, actuators, mobile phones, etc. – which, through unique addressing schemes, are able to interact with each other and cooperate with their neighbors to reach common goals” (Morabito, Giusto, Iera & Atzori, 2010).

The popularity of the IoT emanates from the development of the enabling technologies. RFID tags and the wireless sensor networks are foundations but there are others which are denoted in the various sources, such as identification and communication technologies, middleware, service-oriented architecture, data and signal processing, power and energy storage technologies, network technology and more (Atzori, Iera & Morabito, 2010; Bandyopadhyay & Sen, 2011; Vermesan, Guillemin & Friess, 2009; Xu, He & Li, 2014.

Big data is a prominent concept which has an intertwined relationship with IoT. The prevalent usage of IoT generates a huge amount of data both in quantity and diversity,...

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