scholarly journals Analyzing Barriers to Digital Transformation in the German Engineering Industry – A Comparison of Digitalized and Non-Digitalized Enterprises

2022 ◽  
Author(s):  
Henning Brink ◽  
Sven Packmohr
Keyword(s):  
Digital Transformation ◽  
Engineering Industry

scholarly journals Key Barriers of Digital Transformation of the High-Technology Manufacturing: An Evaluation Method

2021 ◽  
Vol 13 (20) ◽  
pp. 11153
Author(s):  
Alexey Borovkov ◽  
Oleg Rozhdestvenskiy ◽  
Elizaveta Pavlova ◽  
Alexey Glazunov ◽  
Konstantin Savichev
Keyword(s):  
Quality Of Life ◽  
Evaluation Method ◽  
Digital Transformation ◽  
Engineering Industry ◽  
Power Engineering ◽  
Advanced Manufacturing ◽  
Engineering Company ◽  
Advanced Manufacturing Technologies ◽  
Manufacturing Technologies

It is acknowledged that quality of life is related to economic development in a country or region. The impact of the ongoing transfer to the digital economy on economic growth, sustainable development, and quality of life has been a recent academic focus, finding that the development of digitalisation of the economy and society is happening at a comparable pace. Yet, despite the availability of governmental support and overall strategic orientation of top managers, there is evidence of low digital/advanced manufacturing technologies adoption readiness across economic sectors. Therefore, the object of the research is the digital/advanced manufacturing technologies adoption readiness, which can be assessed on both industrial and organisational levels. The authors carried out an expert poll that has shown low digital/advanced manufacturing technologies adoption readiness on the industrial level (average readiness of 2.18 across estimated industries). For this reason, the focus subject of the research is the evaluation method for determining barriers of digital transformation on organisational level. The review of the academic literature and available digital maturity assessment models has shown the lack of metrics for barrier evaluation. The objective of the research is to develop a method for digital-transformation barrier evaluation. An analytical research method is used to develop a ready-to-use method in a form of a questionnaire that can be applied to measure an overall digital-transformation barrier level and identify problem areas for a manufacturing enterprise. The developed method is approbated in two large industrial companies. The overall barrier equals 39.3% for a power engineering company, which is a deterrent barrier. The overall barrier equals 75.0% for a machine-building company, which is a limiting barrier. The results of approbation correspond with results of the expert poll: the power engineering company has a lower barrier level, which is in line with the engine building and turbine engineering industry showing higher levels of readiness to adopt digital technologies. This finding supports the hypothesis about the rationality of the author’s method.

Wie smarte, konnektive Leistungen die Verhandlungsmacht der Kunden verändern

2021 ◽  
Author(s):  
Oliver Treusch
Keyword(s):  
Strategic Management ◽  
Bargaining Power ◽  
Mechanical Engineering ◽  
Digital Transformation ◽  
Engineering Industry ◽  
Corporate Management ◽  
Product Management ◽  
Special Role ◽  
Supplier Relationships ◽  
Smart Services

Connective products and smart services are changing customer–supplier relationships and are presenting mechanical engineers with new, competitive challenges. How are these smart, connective services now changing the bargaining power of customers? Which drivers play a special role in this respect? This book provides answers to these questions for executives from sales, marketing and product management in the mechanical engineering industry. It helps them to effectively manage their customers’ bargaining power, especially in terms of differentiation and switching costs. This book is dedicated to corporate management in the context of digital transformation, especially industrial goods marketing and strategic management.

HIMSS Impact18: Leading Digital Transformation und Big Data in Medicine

2018 ◽  
Vol 23 (09) ◽  
pp. 25-25
Author(s):  
Sabine Schützmann
Keyword(s):  
Big Data ◽  
Digital Transformation

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.

An old friend is better than two new ones? Approaches to market research in the context of digital transformation for the antitrust laws enforcement

2020 ◽  
pp. 37-55 ◽  
Author(s):  
A. E. Shastitko ◽  
O. A. Markova
Keyword(s):  
Business Models ◽  
Rapid Development ◽  
Digital Transformation ◽  
Market Definition ◽  
Type I ◽  
Type Ii ◽  
Digital Platforms ◽  
Advantages And Disadvantages ◽  
Pass Through ◽  
Type Ii Errors

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.

Imperatives of innovation policy implementation in the concept of digital transformation

2020 ◽  
Author(s):  
A.A. Yuryeva ◽  
◽  
A.A. Stepanov ◽  
I. Pshekhotska ◽  
Ya. Sobon' ◽  
...  
Keyword(s):  
Policy Implementation ◽  
Innovation Policy ◽  
Digital Transformation

Монография посвящена исследованию проблемы современных императивов реализации инновационной политики в условиях цифровизации как установки на эффективное управление и активизацию инновационного поведения и деятельности. Особое внимание уделено организационно-управленческим, гуманистическим, культурно-историческим, профессионально-кадровым и иным императивам, формирующим потенциальные возможности, открывающие новые перспективы эффективного инновационного развития на основе перехода к новой модели построения и функционирования организации. Императивы нацелены на освоение приемов стандартов взаимодействия субъектов-участников в процессе реализации инновационной политики, которые позволяют эффективно и организованно справляться с возникающими проблемами. Монография рассчитана на профессорско-преподавательский состав университетов, других высших учебных заведений, докторантов, аспирантов, магистрантов, студентов, изучающих проблемы управления реализацией инновационной политики в цифровой экономике.

An insight into Case Management and Challenges in Veteran Suicide Prevention

2020 ◽  
pp. 14-25
Author(s):  
Tamara Green
Keyword(s):  
Case Management ◽  
Suicide Prevention ◽  
Suicide Risk ◽  
Digital Transformation ◽  
Prevention Science ◽  
Historical Records ◽  
Military Members ◽  
Prediction And Control ◽  
And Control ◽  
Insight Into

Much of the literature, policies, programs, and investment has been made on mental health, case management, and suicide prevention of veterans. The Australian “veteran community is facing a suicide epidemic for the reasons that are extremely complex and beyond the scope of those currently dealing with them.” (Menz, D: 2019). Only limited work has considered the digital transformation of loosely and manual-based historical records and no enablement of Artificial Intelligence (A.I) and machine learning to suicide risk prediction and control for serving military members and veterans to date. This paper presents issues and challenges in suicide prevention and management of veterans, from the standing of policymakers to stakeholders, campaigners of veteran suicide prevention, science and big data, and an opportunity for the digital transformation of case management.

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