Abstract

Abstract
Cognitive Digital Twin (CDT) has been taking considerable attention in several recent studies. CDT is considered as a promising evolution of Digital Twin bringing new smart and cognitive capabilities. Therefore, it is important to understand how companies can exploit this new technology and create new data-driven business models. Considering that context this article aims to identify Smart PSS business model based on Cognitive Digital Twin platforms. To reach this goal a literature review was conducted. As a principal contribution this study brings a set of new business models to offer Smart PSS based on cognitive digital twins. Moreover, the study presents several real cases of companies that are currently using the cognitive capabilities supplied by edge companies of the digital twin technologies. © 2022, IFIP International Federation for Information Processing.

Abstract
Recent studies have highlighted the potential of supply chain visibility (SCV) to improve companies' performance, support the decision-making process and increase the resilience and sustainability of supply chains (SC). However, the definition and the approaches to manage visibility are not consensual, especially when it comes to its assessment. This paper studies the influence that some characteristics of the information shared among SC partners have on SCV and provides a model that allows to assess the level of visibility. Focus group research was used to discuss the visibility assessment model with academic and practical experts and case studies were conducted to evaluate the implementation of the model in real contexts. The results support the applicability of the model in complex SCs and show that the visibility indices proposed can help managers to identify the SC partners where improvement actions are needed. This study contributes to literature and practice by means of a model to assess the visibility throughout the SC by considering different types and characteristics of the information shared.

Abstract
Recently, we have been observing a significant evolution in products, machines, and manufacturing processes, towards a more digital and interoperable reality. In this sense, the power transformers sector has also been evolving to develop smart transformers for the future, capable of providing the digital capabilities to leverage new services and features that follow its entire life cycle, from the design and manufacturing to the use and dismantling/recycling. In this sense, this paper aims to present and demonstrate how an innovative digital twin platform can be used in a secure and trustable way for the enhancement of the power transformers’ performance and potential lifespan, enabling, at the same time, the promotion of new business models. A real use case is also presented to demonstrate the applicability of Asset Administration Shells (AAS) for power transformer life cycle management, as well as the use of the International Data Spaces (IDS) for the secure and trustable horizontal interoperability along with the different actors of the value chain, from the manufacturers to the power network and maintenance services companies.

Abstract
The present paper focuses on the topic of Communities & Networks but it also covers some issues on Collaborative Enterprises, Collaborative Processes & Workspaces, and Business to Business Networks. It is based mainly on the Collective project Know Construct (COLL-CT-2004-500276) starting in March 2005. The project aims to develop a common internet-based platform for SMEs from the construction sector to provide an effective combination of two general functionalities: an innovative decision making support system regarding the products characteristics, applications and other consultancy services for SMEs' customers applying the 'web enabled dialogue', and a system for SMEs to support an advanced form of co-operation through the creation of Knowledge Communities of SMEs in Construction Industry. The system supports the integration, management and reuse of the area specific knowledge via a common knowledge base. The system is intended to be used within the Associations to collect and exchange the business area specific knowledge among the members (SMEs) in a form of essential expertise, reachable anywhere, at any time. © 2006 IEEE.

Abstract
This paper describes the methods and experiences of developing of an information system in an industrial innovation context. The case analysed respects to a system supporting quality management tasks of working teams in industrial companies, developed within a research & development EU funded project. The initial concept of the system is described first, followed by the way how requirements where elicited and structured and the system specified. Next, design and prototyping are analysed , detailing the end-users evaluation approach. Conclusions are drawn on the opportunities and difficulties od R&D involving industrial enterprises.