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Results

The project results were disseminated through 5 articles published in Journals/Proceeding Conferences (3 ISI, 1 SCOPUS, 1 PROQUEST), 7 student articles, and popularization through the creation of the DEMO project website, DEMO project Digital Platform Creator and students’ social media.

 

PR 1 - Report on scientific literature on (Digital) Platform Enterprise education

Status: finished

Deliverable Planned: Report on scientific literature

 

PR 2 – Training methodology for summer schools

Status: finished

Deliverable Planned: DEMO BDP (Balanced Design Planning) Tool (translated in Romanian, English, Bulgarian, Croatian, German)

 

PR 3 – Training materials for Digital Platform Enterprise module

Status: finished

Deliverable Planned: translated in Romanian, English, Bulgarian, Croatian, German

Data analytics in platform enterprises

Digital business models

Digital marketing and customer centricity

Digital Platform Architectures

Digital Platform Technologies

Digital Platforms and platform enterprises

Digital products and services

Digital transformation based on digital platforms

Interoperability in digital platform enterprises

Revenue models in digital platform enterprises

 

PR 4 – Case studies

Status: finished

Deliverable Planned: Case studies (translated in Romanian, English, Bulgarian, Croatian, German)

 

PR 5 – Joint Industry-Academia Master Guideline for Digital Platform Enterprise

Status: finished

Deliverable Planned: Joint Industry-Academia Master Guideline for Digital Platform Enterprise (translated in Romanian, English, Bulgarian, Croatian, German)

 

PR 6 – Digital Platform Enterprise learning and design tool

Status: finished

Deliverable Planned: https://digitalplatformcreator.io/

 

PR 7 – Scientific / educational papers

Status: finished

Deliverable Planned – 7 students papers

Student Papers from the DEMO Summer School 2024

From the 22 participants of the Summer School held in Bucharest, Romania in July 2024 four groups with a total of 14 participants went on to develop their student project into a scientific paper – four from the University of Zagreb (FOI), five from Sofia University (SU), three from TU Wien (TUW) and two form University Politehnica of Bucharest (UPB). The four resulting papers and their abstracts are presented in the following:

  1. Transforming the Travel Experience: A Case Study of an Innovative Travel Platform Vroom

Authors: Tara Nikolić (FOI), Sebastian Zib (TUW) and Georgi Harlev (SU)

Summary: The study introduces Vroom, a platform that simplifies travel across Europe by integrating toll management, road services, and emergency assistance into one application. The paper discusses how the platform can streamline travel planning and enhance user experience across the EU. The students use their acquired knowledge from the summer school (architectural frameworks made with Archi, business modelling techniques such as business model and value proposition canvases, use case diagrams, and customer personas and journey maps) to provide a comprehensive overview.

 

  1. IncluSearch: Enhancing Urban Accessibility through a Mobile Platform

Authors: Juraj Belajec (FOI), Radoslav Karatanev (SU), Oprea Iulia Gabriela (UPB) and Barbara Krasić (FOI)

Summary: The paper introduces IncluSearch, an application aiming to improve urban accessibility for individuals with disabilities by providing a filterable interactive city map. Initially focused on Zagreb, Croatia, the platform aims to expand as it grows. The paper discusses technical challenges, such as integrating real-time data and ensuring information accuracy, and explores funding options, including government support and contributes to the broader discourse on accessible urban development and the role of technology in empowering disabled individuals. The tools used in this paper include Figma, Visual Paradigm and MilaNote.

  1. Innovative Recruitment Solutions: Integrating AI and Digital Communication to Improve Job Matching

Authors: Silvia G. Petrova (SU), Martin C. Peutz (TUW) and Petya Georgieva (SU)

Summary: This study examines how the JobLinkr platform can streamline the hiring process, improve candidate-recruiter matching, and reduce recruitment costs. Through surveys of employers and job seekers, the research identifies key issues in the job market, such as misaligned expectations, insufficient job information, and feedback delays. To address these challenges, JobLinkr proposes an AI-powered platform that analyses user profiles, including CVs, to deliver tailored insights to recruiters, while also incorporating communication tools like 'day in the life' videos to better assess company culture and improve match accuracy. Future plans include enhancing applicant summaries, offering career advice, and exploring strategic partnerships to expand the platform’s reach and capabilities.

  1. ME - a case-study on encouraging circular economy through connections of individuals and repair shops

Authors: Tsvetelin Kostadinov (SU), Tobias Jordan (TUW), Ana Škarica (FOI) and Catalina Stancu (UPB)

Summary: This paper explores the role of digital platforms in promoting the circular economy by focusing on REPAIR.ME, a platform designed to connect consumers with local repair shops. It addresses the issues of resource scarcity and the high consumption of products by encouraging repairs over replacements, which can lower costs for customers, boost local economies, and increase the visibility of small repair businesses. The platform aims to simplify the repair process through a user-friendly interface and streamlined features, making it convenient for consumers to choose repairs. The paper details the business model and customer segments using tools like the business model canvas, value proposition canvas, BPMN and ArchiMate, providing a comprehensive view of how REPAIR.ME could operate to facilitate a shift towards more sustainable consumption.

 

Papers from the DEMO consortium

  1. CM2KGcloud – An open web-based platform to transform conceptual models into knowledge graphs

Authors: Smajevic, M., Ali, S. J., & Bork, D. (2024)

Summary: The paper introduces CM2KGcloud, a web-based platform that transforms conceptual models into Knowledge Graphs. It supports models created by leading metamodeling tools (e.g., EMF, Papyrus, ADOxx) and converts them into standardized formats like GraphML, RDF, and OWL. CM2KGcloud can function as a standalone service or be integrated into other software via its API, providing a streamlined way to bridge conceptual models and knowledge-based representations.

  1. EA ModelSet – A FAIR Dataset for Machine Learning in Enterprise Modeling Authors: Glaser, P.-L., Sallinger, E., & Bork, D. (2023)

Summary: This paper addresses the challenge of limited open-access models for machine learning (ML) research in the conceptual modeling community. It introduces EA ModelSet, a curated repository of enterprise architecture models that follows FAIR principles to enable ML-based modeling research. The authors aim to foster a collaborative effort to build a comprehensive dataset that supports and advances ML research involving conceptual models.

  1. The Extended EA ModelSet–A FAIR Dataset for Researching and Reasoning Enterprise Architecture Modeling Practices

Authors: Glaser, P.-L., Sallinger, E., & Bork, D. (2023)

Summary: This paper presents the Extended EA ModelSet, an openly available and FAIR-compliant dataset of enterprise architecture (EA) models represented in the ArchiMate modeling language. The dataset aims to support AI- and ML-based research on automating EA modeling tasks such as model creation, completion, and analysis. Unlike related fields like business process management, EA research lacks established guidelines and best practices for high-quality model development. By providing a curated repository of structured EA models, the Extended EA ModelSet addresses this gap and enables empirical and ML-driven research in enterprise modeling. The authors call for a community effort to further expand and maintain the dataset, fostering innovation in EA research and practice.

  1. Model-Based Construction of Enterprise Architecture Knowledge Graphs

Authors: Glaser, P.-L., Ali, S. J., Sallinger, E., & Bork, D. (2022)

Summary: The paper presents a method for constructing an Enterprise Architecture Knowledge Graph (EAKG) to enhance the analysis of large-scale enterprise architecture (EA) models. By converting ArchiMate models into EAKGs, the approach facilitates advanced knowledge representation and reasoning, which can be used for decision-making support. The authors demonstrate a proof of concept through the development of an Archi plugin that analyzes EA Smells within ArchiMate models, highlighting the potential benefits of integrating knowledge graphs into EA tools for improved automated analysis.

  1. Enterprise Architecture Management Education in Academia: An International Comparative Analysis

Authors: Robl, M., & Bork, D. (2022)

Summary: This paper presents a comparative analysis of over twenty international educational programs in Enterprise Architecture Management (EAM). It examines common elements across these programs and identifies two best-practice courses that combine effective approaches for teaching EAM to students in Business Informatics and Computer Science. The analysis aims to equip students with the necessary skills to address modern enterprise architecture challenges, particularly the integration of business and IT elements in companies.

  1. A comparison of business platforms used by SMEs to digitalize management activities

Authors: Mirona Ana-Maria Popescu, Olivia Doina Negoita, Albena Antonova, Dominik Bork

Abstract: The study explores the digitalization of the Romanian business environment, emphasizing how innovation drives market competitiveness and operational efficiency. Through secondary research and data from the online tool SimilarWeb, the paper presents various software applications that help companies improve efficiency. It highlights the importance of new skill sets in an economy where technology increasingly replaces manual operations, and aims to provide insights into client perspectives on digitalization tools.

  1. Digital Platforms Building Blocks: Focusing on Agile Organization and Product-Service Systems

Authors: Albena Antonova, Yavor Dankov

Summary: This paper examines how agile organizational principles and product-service systems can help companies adapt to and leverage digital platform opportunities. The research proposes a conceptual model to guide companies in aligning their operations with the logic of digital platforms, offering new business models and cooperation channels. The paper focuses on one of the goals of the DEMO project: preparing future professionals for careers in digital platform

enterprises.

  1. Insights into understanding the perspective of digital platform providers

Authors: Katarina Tomičić-Pupek, Ana Kutnjak, Vjeran Strahonja

Summary: This paper explores the role of digital platform (DP) providers in organizational transformation within platform-based ecosystems. It aims to enhance understanding of their intentions to implement digital platforms for supporting business models and operations. Due to limited existing research, the study applies qualitative methods to identify key concepts defining the role of DP providers. Ten factors influencing providers' perspectives were identified, aligning with factors affecting other stakeholders. The paper introduces a conceptual model that allows DP providers to evaluate their capabilities, assess their readiness for implementation, and weigh perceived values and risks impacting their decision to adopt a digital platform.

  1. The Use of Artificial Intelligence in Education

Authors: Olivia Doina Negoita, Mirona Ana-Maria Popescu

Summary: This paper provides a comprehensive overview of the current use of artificial intelligence (AI) in education. Based on research studies from 2018 to 2023, it explores various perspectives on AI's role in education, including its potential, ethical challenges, and future developments. The analyzed studies examine topics such as personalized learning, the automation of administrative tasks, and the enhancement of student-teacher interactions. By synthesizing these findings, the article offers a holistic understanding of how AI is transforming education. It also emphasizes the importance of interdisciplinary collaboration between educators and AI experts, as well as the need for responsible and sustainable AI integration in the education sector.