business model

Digital Platform Frameworks for Manufacturing Companies

Digital Platform Frameworks for Manufacturing Companies

A review
Marcel Rojahn ORCID Icon
In recent years, digital platforms have established themselves as a central concept in the IT field. Due to the wide variety of digital platforms available on the market, there is still a need for clear comparison with criteria to enable interested parties to select, change, operate and further develop these platforms. The following paper aims to contribute to the facilitation of this comparison by undertaking a systematic literature review of digital platform frameworks in the context of the Industrial Internet of Things (IIOT) for manufacturing companies and thus providing a basis for a number of potential ways to effectively compare current digital platforms and ecosystems.
Industry 4.0 Science | Volume 40 | 2024 | Edition 2 | Pages 8-15 | DOI 10.30844/I4SE.24.2.8
Data as Basis for Business Models

Data as Basis for Business Models

Recommendations for Competitive Predictive Maintenance Business Models
Sven Seidenstricker, Saskia Ramm, Barbara Dinter
The combination of product service systems and big data requires a change in the existing, traditional business models and a repositioning of the companies. Since these changes are often a challenge, this article uses the example of predictive maintenance to present the influences of big data and product service systems on the business models of medium-sized companies in mechanical and plant engineering. Based on a systematic literature review in combination with expert interviews, numerous practical business model implications were obtained, providing sound guidance for industry representatives.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 6 | Pages 33-36 | DOI 10.30844/IM_22-6_33-36
Smart Connected Solutions

Smart Connected Solutions

Status quo, challenges and recommendations for industrial companies
Jonas Peter
As a result of dynamic markets, industrial companies often reach their limits to remain competitive. Smart connected solutions (SCS) comprise data-based and service-oriented offerings to stay successful. This paper provides practice-oriented insights into SCS maturity, challenges in building SCS business models and recommendations for action for industrial companies.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 5 | Pages 57-60
Circular Economy – Chance for Innovation

Circular Economy - Chance for Innovation

Tobias Berndt, Claus Lang-Koetz, Silvia Rummel
Circular Economy is considered one of the most promising concepts on the way to a more sustainable economy. Expectations of a responsible corporate orientation are rising: This is shown by a recent ruling of the Federal Constitutional Court, which demands that Germany must be more ambitious in its climate goals [1]. The EU Green Deal envisages climate neutrality by 2050 and the “Circular Economy Action Plan” calls for more effective use of resources and reserves [2]. This article describes a method that companies can use to develop ideas for circular business models.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 1 | Pages 33-36 | DOI 10.30844/I40M_22-1_33-36
Business Models in the Context of Blockchain Technology

Business Models in the Context of Blockchain Technology

Teil 2
David Holtkemper, Jan Breidenbach
Blockchain technology attracted a great deal of attention with its first application Bitcoin. In addition to the multitude of practical solutions, initiatives and research efforts of the industry, the number of scientific publications on the topic of blockchain is comparatively low. Right now, there is a lack of universal standards and uniform terminology. One way of documenting blockchain technology could be a morphological box. In addition to the advantage of clarity, this type of information structuring offers further advantages that can be considered helpful in creating a comprehensive overview. In order to create such a morphological box, various features of the blockchain technology must be identified and described in detail. One of these features is the “business model”, for which the 4 different characteristics “infrastructure provider”, “platform provider”, “system integrator” and “application provider” have been identified.
Industrie 4.0 Management | Volume 36 | 2020 | Edition 1 | Pages 49-52
Business Models in the Context of Blockchain Technology

Business Models in the Context of Blockchain Technology

Teil 1
David Holtkemper, Jan Breidenbach
The digital transformation continues to progress. In the course of this digital change, new technologies are constantly being developed and topics such as artificial intelligence, big data analytics or blockchain are moving into the focus of companies and the general public. Blockchain technology attracted a great deal of attention with its first application Bitcoin.
Industrie 4.0 Management | Volume 35 | 2019 | Edition 6 | Pages 42-46
Designing Business Models for Digital B2B Platforms

Designing Business Models for Digital B2B Platforms

Wolfgang Buchholz, Charlotte Kosiorkiewicz, Holger de Bie
In many industries, the transformation of value creation is accelerating as a result of the fundamental change from pipelines business to platform business. For taking part in the new platform business companies need to develop innovative business models. The framework developed for designing digital platforms includes the type of value contribution (what?), the actors involved (who?), the reason for the value contribution (why?) and the way of value creation (how?). The design hints derived from the framework are subsequently used to develop B2B platforms to illustrate their relevance and impact.
Industrie 4.0 Management | Volume 35 | 2019 | Edition 2 | Pages 39-42
Industry 4.0 – Disruptive Business Model Innovation or “just” Business Process Optimization?

Industry 4.0 - Disruptive Business Model Innovation or “just” Business Process Optimization?

Christian Leyh, Doreen Gäbel
An investigation of Industry 4.0 project examples of selected companies with a focus on possible resulting business model innovations shows that these innovations can certainly be triggered by Industry 4.0 projects. How-ever, the results of our investigation also show that the share of business model innovations with 22% out of the 158 selected companies is, however, at a rather low range. Disruptive business model innovations are mainly found in companies of the manufacturing industry. Their focus is no longer only on the production or processing of products, but also on a clear added value for the customer. In this article, these aspects are further elaborated and selected study results are presented.
Industrie 4.0 Management | Volume 33 | 2017 | Edition 5 | Pages 33-38
Gains in Productivity Using information Management

Gains in Productivity Using information Management

Utilization of Digitization for Designing Work, Business Model and Business Processes
Marc-André Weber, Tim Jeske
Digitization opens extensive opportunities to gather real time information, exchange them and use them for a variety of different purposes. In industry, the related developments are referred to as the transition to Industry 4.0. They relate to the workplace design as well as to the alignment of business strategies and the underlying business models.
Industrie 4.0 Management | Volume 32 | 2016 | Edition 6 | Pages 31-33
Common Patterns of Cloud Business Models

Common Patterns of Cloud Business Models

Stine Labes, Rüdiger Zarnekow
Cloud computing is the buzzword of the last years; meanwhile, it becomes more present in the product portfolios of IT service providers. A lot of newcomers emerge in the cloud market and established player extend their traditional IT business with cloud aspects. Based on a comprehensive literature analysis, a structured framework for cloud business models is synthetized. This framework is used to investigate and compare 29 successful business models in the cloud market. With the help of a cluster analysis, four common patterns of combination are identified for cloud business models. These clusters induce recommendations for action for IT service providers in the cloud market.
Industrie Management | Volume 29 | 2013 | Edition 4 | Pages 23-26
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