Digital Transformation of Industrial Companies: What is Management 4.0?

Author(s):  
Prokhin Egor
Author(s):  
Hanaa Abdulraheem Yamani ◽  
Waleed Tageldin Elsigini

The current era is witnessing many changes on various levels. The information and communication revolutions are considered one of the important changes which has cast a shadow over how different institutions in society work via the phenomenon of digitization. As some of the most important institutions of society, industrial companies have been responding to this phenomenon of digital transformation to improve products and customer service while achieving a significant profitable return. This response by these institutions to the digital transformation has resulted in the emergence of the so-called fourth industrial revolution. In this context, this chapter reviews the definition of digital transformation as well as its dimensions, benefits, and obstacles. It also comments on the future of digital transformation and its relationship with industry. Ultimately it presents the fourth industrial revolution in terms of its definition, history, criteria, benefits, and the challenges it faces moving into the future.


2019 ◽  
Vol 298 ◽  
pp. 00079 ◽  
Author(s):  
Ilya Kovalev ◽  
Ramil Nezhmetdinov ◽  
Denis Kvashnin

Currently, more and more managers of medium and large industrial companies are thinking about conducting a digital transformation of their enterprise. Each company is forced to strive to find an approach to optimizing production in order to remain competitive in the market. For industrial enterprises, this approach may be a digital transformation using the ideas of Industry 4.0. The digital transformation of an enterprise is a complex and multifaceted process that affects almost all levels of production. At the head of this whole process are data. Data on the work of production must be collected, stored, aggregated, transferred to various levels. Existing methods for storing data are not always suitable for working with BigData, new solutions are needed. The paper shows a comparison of the traditional approach to data aggregation and a promising direction based on the architecture of Data Lake.


Author(s):  
Saeed Baselm

Digital transformation using emerging technologies such as internet of things (IoT) is transforming the way business is conducted within industrial value chains. Consequently, business model innovation and the transition to networked business model are required. Yet, many gaps are being researched to analyze how industrial companies can leverage digital transformation to transform their business models to achieve sustainability benefits. Typically, issues related to value creation and the delivery of business models require more clarification. It is also important to recognize how these components integrate to the sustainability of industrial initiatives. The main objective of this chapter is to pave the way for business behaviors associated with internet of things environment and the related innovative contracts. The discussions and conclusions discussed here will help organizations to establish a long-term, complex relationships with their suppliers, customers, and other value chain actors.


2021 ◽  
pp. 0143831X2110541
Author(s):  
Kerstin Rego

In the course of the so-called ‘digital transformation’, the digitalisation of manufacturing is on the agenda in many companies. Are works councils, as an important form of workplace representation of employees’ interests, prepared to bring employees’ interests into company digitalisation processes, and does this affect their own position of power? To answer these questions, four in-depth qualitative case studies of works councils from German industrial companies are conducted. The results show that works councils can rely on important resources in the bargaining of digitalisation processes. Through the combination of resource use with other factors, such as the perception of digitalisation and the (un)willingness of management to involve works councils, three different constellations can be identified under which dealing with digitalisation represents an opportunity or a threat for works councils.


1970 ◽  
Vol 15 (6) ◽  
pp. 422-423
Author(s):  
ALBERT S. GLICKMAN

2018 ◽  
Vol 23 (09) ◽  
pp. 25-25
Author(s):  
Sabine Schützmann

Am 17. und 18. Oktober findet im Hasso-Plattner-Institut (HPI) in Potsdam zum zweiten Mal die HIMSS Impact statt: Ein englischsprachiges Symposium, welches aktuelle Trends im Gesundheitswesen, digitale Strategien und jüngste Forschungserkenntnisse beleuchtet.


2020 ◽  
pp. 37-55 ◽  
Author(s):  
A. E. Shastitko ◽  
O. A. Markova

Digital transformation has led to changes in business models of traditional players in the existing markets. What is more, new entrants and new markets appeared, in particular platforms and multisided markets. The emergence and rapid development of platforms are caused primarily by the existence of so called indirect network externalities. Regarding to this, a question arises of whether the existing instruments of competition law enforcement and market analysis are still relevant when analyzing markets with digital platforms? This paper aims at discussing advantages and disadvantages of using various tools to define markets with platforms. In particular, we define the features of the SSNIP test when being applyed to markets with platforms. Furthermore, we analyze adjustment in tests for platform market definition in terms of possible type I and type II errors. All in all, it turns out that to reduce the likelihood of type I and type II errors while applying market definition technique to markets with platforms one should consider the type of platform analyzed: transaction platforms without pass-through and non-transaction matching platforms should be tackled as players in a multisided market, whereas non-transaction platforms should be analyzed as players in several interrelated markets. However, if the platform is allowed to adjust prices, there emerges additional challenge that the regulator and companies may manipulate the results of SSNIP test by applying different models of competition.


Sign in / Sign up

Export Citation Format

Share Document