Pillars and Elements to Develop an Open Business Model for Innovation Networks

Rojas, Evelin; Azevedo, Américo

doi:10.1007/978-3-662-44745-1_31

Cited by 3 publications

(2 citation statements)

References 28 publications

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“…They help create value by leveraging a large number of ideas, including external outsiders [48][49][50]. They also allow for greater value capture by leveraging a company's key assets, resources or positions not only in its own business, but also in the business of other companies [51][52][53][54][55][56]. Companies with an open business model actively seek innovative ways to collaborate with all business partners: suppliers, customers or general partners, to expand their business, e.g., through servitization.…”

Section: Industry 40 Towards Open Business Modelmentioning

confidence: 99%

Business Models in the Industry 4.0 Environment—Results of Web of Science Bibliometric Analysis

Grabowska

Saniuk

2022

Journal of Open Innovation: Technology, Market, and Complexity

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The Fourth Industrial Revolution affects the operations of companies and results in new strategic thinking. The changes resulting from the requirements of Industry 4.0 force restructuring in many areas of management or the building of new business models. The aim of this article was to indicate the pillars that will form the basis for building business models of enterprises functioning in the era of Industry 4.0. The research methods used in this article were bibliometric analysis and analysis of the content of sophisticated publications. The results of this research are the analysis of the dynamics of publications in the area of business models in the era of Industry 4.0, an indication of the research areas undertaken in these publications and the identification of the pillars that will constitute the basis for building business models in the era of Industry 4.0. Business models in the era of Industry 4.0 are to be a method of increasing and using the company’s resources in order to achieve a competitive advantage through personalization of products and their new quality; their key competitive advantage will be a structure based on a network of cyber-physical cooperation. This article is dedicated to scientists and business practitioners looking for tips for building modern business models.

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Section: Industry 40 Towards Open Business Modelmentioning

confidence: 99%

Business Models in the Industry 4.0 Environment—Results of Web of Science Bibliometric Analysis

Grabowska

Saniuk

2022

Journal of Open Innovation: Technology, Market, and Complexity

View full text Add to dashboard Cite

show abstract

“…Despite the apparent simplicity of the above characteristics, many companies try to implement workflow systems to manage non-structured processes with no success due to the fact that a formal definition of a semi-structured process is not possible. This happens because that there is no clear boundary and it is not easy to differentiate between what can be classified as structured and semi-structured (Rojas & Azevedo, 2014;Swenson, 2000;Faria et al, 2010;Faria & Nóvoa, 2015) Many times, the low-efficiency concern and the lack of knowledge on the field lead business analysts from determining when a process fits for a fully automated workflow system or not. In fact, humans are better than computers for non-structured and fuzzy situations: e.g.…”

Section: Semi-structured Processesmentioning

confidence: 99%

Product lifecycle management in knowledge intensive collaborative environments: An application to automotive industry

Ferreira

Faria

Azevedo

et al. 2017

International Journal of Information Management

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Keywords:Hybrid process management Knowledge based engineering Collaborative engineering Product design and development Manufacturing planning a b s t r a c t Today, manufacturing is moving towards customer-driven and knowledge-based proactive production. Shorter product life cycles lead to increased complexity in areas such as product and process design, factory deployment and production operations. To handle this complexity, new knowledge-based methods and technologies are needed to model, simulate, optimize and monitor manufacturing systems. Product lifecycle management research tends to focus on situations that are responsive to formal analysis and modelling. However, in several domains such as knowledge intensive collaborative environments, it's not possible to model processes using formal notations. Knowledge based and collaborative process management involves a combination of structured and non-structured processes. Structured processes management can be reduced to a set of fully-defined rules leading to high efficiency but also low flexibility, whereas the management of non-structured processes is not prone to a full formalization. A combination of both structured and unstructured management approaches is required in order to achieve a successful trade-off between efficiency, flexibility and controllability. We call a process as semi-structured when it contains both structured and non-structured sub-processes leading to a flexible and efficient hybrid approach. Large enterprise information systems, impose structured and predictable workflows, while knowledge based collaborative processes are unpredictable to some extent, involving high amount of human-decision. Moreover, large enterprise information systems are not able to manage the daily ad hoc communication inherent to the knowledge-based process itself. This paper introduces a set of concepts, methods and tools of an innovative Hybrid Process Management approach validated by a real world business case in the automotive industry.

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Hybrid Process Management: A Collaborative Approach Applied to Automotive Industry

et al. 2016

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Pillars and Elements to Develop an Open Business Model for Innovation Networks

Cited by 3 publications

References 28 publications

Business Models in the Industry 4.0 Environment—Results of Web of Science Bibliometric Analysis

Business Models in the Industry 4.0 Environment—Results of Web of Science Bibliometric Analysis

Product lifecycle management in knowledge intensive collaborative environments: An application to automotive industry

Hybrid Process Management: A Collaborative Approach Applied to Automotive Industry

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