Tackling Hurdles to Digital Transformation — The Role of Competencies for Successful Industrial Internet of Things (IIoT) Implementation

Author(s):  
Jens Butschan ◽  
Sven Heidenreich ◽  
Benjamin Weber ◽  
Tobias Kraemer
2019 ◽  
Vol 23 (04) ◽  
pp. 1950036 ◽  
Author(s):  
JENS BUTSCHAN ◽  
SVEN HEIDENREICH ◽  
BENJAMIN WEBER ◽  
TOBIAS KRAEMER

Scientific research and innovation management practice have emphasised the important role of individual competencies in meeting the challenges of the digital transformation. However, it still lacks empirical studies that strive to determine how certain competencies of employees might affect the success of the digital transformation itself. In order to empirically determine the individual contribution of specific employee competencies to a successful digital transformation in terms of a high Industrial Internet of Things (IIoT) usage performance, a quantitative study among German component manufacturers of the capital goods industry was conducted. Drawing upon a sample of 284 employees, our results reveal that high developed cognitive and processual competencies of individuals promote the digital transformation processes of a firm. Surprisingly, social competencies have only a little influence. Furthermore, our findings also confirmed that a high IIoT usage performance is beneficial for a firm, significantly enhancing divisional success.


2021 ◽  
Vol 11 (2) ◽  
pp. 88-101
Author(s):  
Ibrahim Cil ◽  
Fahri Arisoy ◽  
Hilal Kilinc

Industrial Internet of Things is becoming one of the fundamental technologies with the potential to be widely used in shipyards as in other industries to increase information visibility. This article aims to analyze how to develop an industrial IoT-enabled system that provides visibility and tracking of assets at SEDEF Shipyard, which is in the digital transformation process. The research made use of data from previous studies and by using content analysis, the findings were discussed. Industrial IoT enables the collection and analysis of data for more informed decisions.  Based on the findings, sensor data in the shipyard are transmitted to the cloud via connected networks. These data are analysed and combined with other information and presented to the stakeholders. Industrial IoT enables this data flow and monitors processes remotely and gives the ability to quickly change plans as needed. Keywords: Shipyard, Industrial Internet of Things, Cyber-Physical System, Visibility, Assets tracking;        


Robotic systems can already proactively monitor and adapt to changes in a production line. Nowadays, internet of things and robotic systems are key drivers of technological innovation trends.Majorcompanies are now making investments in machine learning-powered approaches to improve in principle all aspects of manufacturing. Connecteddevices, sensors, and similar advancements allow people and companies to do things they wouldn't even dream of in earlier eras.For realizing it time series feature extraction approach is selected.Industrial internet of things solutions are poised to transform many industry verticals including healthcare, retail, automotive, and transport. For many industries, the industrial internet of things has significantly improved reliability, production, and customer satisfaction. The internet of things and robotics arecoming together to create the internet of robotic things. Industrial internet of thingis a subset of industry4.0. Itcan encourage smartness at a bigger level in industrial robots.


2021 ◽  
Vol 5 (2) ◽  
pp. 49-58
Author(s):  
Kremena Marinova-Kostova ◽  
Ivaylo Kostov

Introduction. Industry 4.0 is a concept that is considered a new phase in the Industrial Revolution, closely related to the application of information technologies and the digital transformation of manufacturing. The main purpose is to be created a more holistic and more connected ecosystem, focused on supply chain management in industrial companies. Implementation of solutions in Industry 4.0 is mostly related to the concept of the Internet of Things (IoT). Mass deployment of this type of technology in industrial enterprises is the basis of the so-called Industrial Internet of Things (IIoT). Achieving interoperability in the IIoT requires the combination of two technologies: the Internet of Things and the Internet of People. Aim and tasks. This article describes the implementation of the concept of the Internet of Things in industrial enterprises, as a key technology factor for developing Industry 4.0. Results. A brief overview of the evolution of industrial production - from the beginning of the Industrial Revolution to the emergence of Industry 4.0 is made. The main principles for implementing Industry 4.0 solutions ensure that the entire production process is computerized. Industry 4.0 solutions are mostly associated with the concept of the Internet of Things (IoT) whose definition and essence are obtained in this article. Based on the various concepts of the IoT are presented solutions that can be used in the industry, namely: in consumer devices in technology used in public organizations in infrastructure applications in industrial applications, also called the Industrial Internet of Things (IIoT). Therefore, we can say that there is a significant potential for improving production processes as regards: optimization of operations, forecasting equipment support, inventory optimization, improving workers' security, shipping chain optimization, etc. Conclusions. The application of the Internet of Things in enterprises is an important and decisive step in the process of their digital transformation and transition to Industry 4.0. The interaction between humans and machines, carried out through Internet technologies, leads to the emergence of the Internet of Everything, which will be a basic concept in industrial production in the coming years. However, the role of man in the production process should not be completely eliminated, but solutions should be sought that support and intellectualize his work.


2021 ◽  
Vol 11 (2) ◽  
pp. 67-87
Author(s):  
Ibrahim Cil ◽  
Fahri Arisoy ◽  
Hilal Kilinc

Shipyards often face unique challenges, as the construction of ships takes months or even years to complete. As in any sector, Industry 4.0 (I4.0) also affects the shipbuilding sector. With this digital transformation, it aims to meet the challenges of shipbuilding more personalized ships with shorter delivery times, greater flexibility, and higher quality. Therefore, this study aims to review IIoT technologies that will perform the digital transformation in the shipyard. In this study, an analysis of the digital transformation for the shipyard industry of Turkey in general was made and more specifically focused on how to implement IIoT for Sedef Shipbuilding Inc., which is one of the leading shipbuilding companies in Turkey. This study contributes to digital transformation technologies that can be applied in shipyards by providing analysis of existing reference frames for IIoT technologies in shipyard digital transformation. Keywords: ; IoT Ecosystem; IIoT Architecture;Industry 4.0; Industrial Internet of Things; Shipbuilding 4.0; Shipyard 4.0  


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shafique Ur Rehman ◽  
Khurram Ashfaq ◽  
Stefano Bresciani ◽  
Elisa Giacosa ◽  
Jens Mueller

PurposeThe authors observe the influence of intellectual capital (IC) on innovation performance with the mediating role of interorganizational learning (IOL) in the Pakistani automotive industry. Besides, industrial Internet of things (IoT) technology is used as moderating variables between IOL and innovation performance.Design/methodology/approachStructural equation modeling (SEM) presents scholars with extra flexibility and enhanced research conclusions. SEM is described as a statistical methodology and the best tool used for hypothesis testing. The authors used partial least squares SEM for testing hypotheses. The simple random sampling technique followed to collect data from respondents, and 492 questionnaires were used for analysis.FindingsThe outcomes reveal that IC enhances innovation performance and IOL. Moreover, IOL increases innovation performance. IOL significantly mediates between IC and innovation performance. Industrial IoT technology improves innovation performance. Finally, industrial IoT technology strengthens the positive association between IOL and innovation performance.Practical implicationsThis study concentrates on the issue of how managers use IOL and industrial IoT technology to take higher advantage of IC that increases innovation performance.Originality/valueThis is the initial study that builds a theoretical framework to integrate IC, IOL, industrial IoT technology and innovation performance. Although prior researchers observe the association between IC and innovation performance, less concentration was paid to understand the role of interorganizational leadership and industrial IoT technology in leveraging organizational IC.


2019 ◽  
Vol 99 ◽  
pp. 247-259 ◽  
Author(s):  
Muhammad Habib ur Rehman ◽  
Ibrar Yaqoob ◽  
Khaled Salah ◽  
Muhammad Imran ◽  
Prem Prakash Jayaraman ◽  
...  

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