Program Committee

• Björn Johansson, Linköping University
• Cristina Chuva Costa, University of Coimbra
• Jacinto Estima, University of Coimbra, CISUC, Department of Informatics Engineering
• Jacopo Soldani, University of Pisa
• Janusz Stal, Krakow University of Economics
• Jose Sosa Rodriguez, The University of Arizona
• Mariusz Grabowski, Cracow University of Economics
• Md Arfan Uddin, University Of Arizona
• Nariman Mani, Nutrosal Inc.
• Paula Alexandra Silva, DEI | CISUC – Universidade de Coimbra
• Paulo Melo, Faculty of Economics, University of Coimbra
• Rokin Maharjan, Baylor University
• Sebastian Herold, Karlstad University, Department of Computer Science
• Shakthi Weerasinghe, University of Arizona
• Xiaozhou Li, Free University of Bozen-Bolzano

T2: Model Driven or Model Based IS Development

It appears that “digital” is all around us, both in our personal and work lives. The growing popularity of approaches like model-driven development and low-code development, which involve code generation and model interpretation or generation by AI, has made modeling more relevant than ever in information systems development.

Professionals have sometimes been reluctant to create models as part of their work but that attitude is slowly changing. In agile information systems development, the traditional reluctance to use software models has been replaced by a more practical approach, recognizing the value that models derived from user stories and other requirements artifacts can provide in ensuring the timely delivery of high-quality systems. Data scientists are also increasingly using domain models to make sense of the data in their pipelines, which are used to build, train, evaluate, and deploy machine learning models. Artificial intelligence can interact with conceptual models for a diversity of use cases, e.g. to streamline design decisions between engineers and AI agents. Overall, there is a renewed appreciation for the role of information system models, including enterprise or domain models, requirements models, and software models, leading to the question of how these modeling approaches can be improved or innovated to better support new approaches to information systems development.

Track Chairs

Program Committee

• Ana-Maria Ghiran, Babes-Bolyai University of Cluj-Napoca
• Andreas Martin, FHNW University of Applied Sciences Northwestern Switzerland
• Barbara Re, university of Camerino
• Ben Roelens, Open Universiteit, Ghent University
• Cristina-Claudia Osman, Faculty of Economics and Business Administration, Babeș-Bolyai University
• Dominik Bork, TU Wien
• Drazen Brdjanin, University of Banja Luka, Faculty of Electrical Engineering
• Fabrizio Fornari, University of Camerino
• Graham Gal, Isenberg School of Management
• Hans Weigand, Tilburg University
• Jan Verelst, University of Antwerp
• Karel Richta, Czech Technical University in Prague
• Krešimir Fertalj, Faculty of EE and Computing
• Michael Dzandu, University of Westminster
• Mohamed Bettaz, Laboratoire Méthodes de Conception de Systèmes, ESI, Algiers, Algeria
• Pedro Paulo F. Barcelos, Health-RI
• Simon Hacks, Stockholm University
• Zdenek Rybola, Czech Technical University

T3: Lean and Agile Software Development

The objective of LASD is to enhance the state-of-the-art in lean and agile software development and disseminate best practices, accompanied by stories of both successful and challenging transitions and adaptations to the evolving work environment and advancements in technology.

Since its inception in 2017 as part of the FedCSIS Conference Series, LASD has grown into a prominent research forum for the Agile community. During the pandemic, LASD operated as a standalone online conference, and in 2023, it became an official track within ACM SAC. In 2024, LASD expanded its international reach by being held twice — at SAC and later at ISD — further establishing itself as a bridge between the Software Engineering and Information Systems communities.

Agile and lean software development are industry standards, but transitioning to an Agile mindset remains challenging. Projects often require tailoring Agile methods to fit specific contexts, but this process is complex due to the interdependent nature of practices in frameworks like Scrum. The pandemic-driven shift to remote and hybrid work has added new challenges, forcing co-located teams to adapt to their communication and collaboration methods. Organizations must now innovate beyond traditional Agile practices, which lack explicit remote work guidelines, to maintain team effectiveness in virtual environments. Furthermore, the ongoing return-to-office debates and the stabilization of hybrid work models have created new research opportunities around optimizing Agile ceremonies and collaboration patterns for permanently distributed workforce configurations.

Scaling Agile to large, distributed, and multi-team projects continue to be a pressing topic. While frameworks like SAFe, LeSS, and Nexus have emerged to address the challenges of scaling, their adoption is often fraught with difficulties. Organizations frequently report issues such as framework misalignment with company culture, disruptions to management structures, and the inability to fully implement all elements of predefined frameworks. These challenges underscore the need for both practical guidance and theoretical research to support large-scale Agile transformations.

In parallel, the rapid evolution of technology is reshaping the landscape of software development. Generative AI coding tools, powered by Large Language Models (LLMs) and emerging Agentic AI workflows, are transforming how developers approach coding, testing, debugging, refactoring, and documentation. Beyond programming tasks, fine-tuned LLMs and AI Assistants have shown promise in supporting requirements discovery and specification as well as in user research activities. These advancements open exciting new research directions, prompting questions about how generative AI can be effectively integrated into Agile workflows, how it alters the skills required for junior developers, and how to ensure ethical and responsible use of AI in software development. The emergence of AI-powered autonomous coding agents and multi-agent systems presents new paradigms for human-AI collaboration within Agile teams, raising questions about pair programming with AI, the evolving role of developers as

Track Chairs

Program Committee

• Adel Taweel, King’s College London/Birzeit University
• Alberto Silva, Universidade de Lisboa
• Aleksander Jarzebowicz, Gdansk University of Technology
• Alena Buchalcevova, University of Economics
• Alessandra Bagnato, Softeam
• Alexander Poth, Volkswagen AG
• Alok Mishra, Norwegian University of Science and Technology
• Andrea Janes, Free University of Bozen-Bolzano
• Andreas Riel, EMIRAcle c/o Grenoble Institute of Technology
• Aneta Poniszewska-Maranda, Institute of Information Technology, Lodz University of Technology
• Anna Derezinska, Institute of Computer Science, Warsaw University of Technology
• Anna Sołtysik-Piorunkiewicz, University of Economics in Katowice
• Arpita Dutta, National University of Singapore
• Babak A. Farshchian, Norwegian University of Science and Technology
• Bartosz Marcinkowski, University of Gdansk
• Bruno Rossi, Masaryk University
• Carles Farré, Universitat Politècnica de Catalunya
• Daniel Staegemann, Otto-von-Guericke University Magdeburg
• Dominique Winter, HS Emden/Leer
• Doruk Tuncel, Siemens AG
• Durga Prasad Mohapatra, NIT, Rourkela
• Eduardo Guerra, Free University of Bolzen-Bolzano
• Elzbieta Wojnicka-Sycz, University of Gdansk
• Érica Souza, UTFPR
• Franz Zieris, Blekinge Institute of Technology
• Franziska Tobisch, TUM
• George Mangalaraj, Western Illinois University
• Georgia Kapitsaki, University of Cyprus
• Hannes Salin, Swedish Transport Administration
• Christian Daase, Otto von Guericke University Magdeburg
• Christian Haertel, Otto-von-Guericke-University
• Ilaria Lunesu, University of Cagliari
• Ivan Luković, University of Belgrade, Faculty of Organizational Sciences
• Jacek Maślankowski, University of Gdańsk
• Jakub Swacha, University of Szczecin
• Jakub Miler, Gdansk University of Technology
• Jenny Coady, Heriot-Watt University
• Jerzy Nawrocki, Poznan University of Technology
• João Barata, University of Coimbra
• Jorge Melegati, University of Porto
• Joseph Puthenpurackal Chakko, Valuflow Research
• Juan Manuel Vara, Computer Science & Statistics, Universidad Rey Juan Carlos
• Jürgen Münch, Reutlingen University
• Karolina Muszyńska, University of Szczecin
• Konstantinos Tsilionis, Eindhoven University of Technology
• Krzysztof Hryniów, Warsaw University of Technology
• Krzysztof Marek, Warsaw University of Technology
• Lidia Lopez, Universitat Politècnica de Catalunya
• Maciej Kucharski, Gdańsk University of Technology
• Mali Senapathi, Auckland University of Technology
• Maria Spichkova, RMIT University
• Marija Katic, School of Computing, Union University, Belgrade, Serbia
• Martin Kropp, University of Applied Sciences and Arts Northwestern Switzerland
• Mary Sánchez-Gordón, Østfold University College
• Matthias Pohl, Otto-von-Guericke-Universität Magdeburg
• Miguel Ehécatl Morales Trujillo, University of Canterbury
• Michael Neumann, University of Applied Sciences and Arts Hannover
• Michal Smialek, Warsaw University of Technology
• Michal Przybylek, Warsaw University
• Mirko Perkusich, VIRTUS
• Mirosław Ochodek, Poznan University of Technology
• Morteza Moalagh, Norwegian University of Science and Technology
• Necmettin Ozkan, Gebze Technical University
• Nikolaus Obwegeser, Bern University of Applied Sciences
• Özden Özcan Top, Information Systems, Middle East Technical University, Ankara, Turkey
• Peggy Gregory, University of Glasgow
• Raman Ramsin, Sharif University of Technology
• Ridewaan Hanslo, University of Cape Town
• Robert Buchmann, Babeș-Bolyai University of Cluj Napoca
• Rui Humberto Pereira, ISCAP/IPP
• Samedi Heng, UCLouvain
• Sonja Ristic, University of Novi Sad, Faculty of Technical Sciences
• Sven Theobald, Fraunhofer IESE
• Sylwia Kopczyńska, Poznan University of Technology
• Tomas Gustavsson, Karlstads universitet
• Tomas Herda, Austrian Post
• Usman Nasir, Blekinge Institute of Technology
• Valentino Vranić, Pan-European University
• Wilfrid Utz, OMILAB gGmbH
• Wioleta Kucharska, Gdansk University of Technology
• Witold Chmielarz, University of Warsaw; Faculty of Management
• Włodzimierz Wysocki, West Pomeranian University of Technology Szczecin
• Woubshet Behutiye, University of Oulu
• Yannick Francillette, UQAC
• Yen Ying Ng, Nicolaus Copernicus University in Toruń
• Zdenek Rybola, Czech Technical University
• Zheying Zhang, Faculty of Information Technology and Communication Sciences, Tampere University

T4:  Data Science and  AI for IS Development

One of the key issues related to Information Systems Development (ISD) is the effective transformation of large amounts of data into useful knowledge, consistent with the declared objectives and the expected, measurable outcomes. The central role in addressing this issue is played by modern information systems, providing a variety of intelligent services for that purpose.

Considering a perspective of ISD, the main concern of this track is to focus on the use of data science (DS), machine learning (ML), artificial intelligence (AI), data mining (DM), data analysis (DA) and related paradigms as an integral part of the ISD life cycle. These paradigms are to be treated as a coherent set of theories, methodologies, processes, architectures and technologies that guide the analysis, design, implementation and evolution of modern information systems. Their systematic integration within ISD enables the transformation of raw data into meaningful and useful information and knowledge embedded in system functionality, thereby improving information management, decision support and value creation in business and research organizations.

The main goal of this track is to address open questions and real potential for various applications of modern DS & ML approaches in ISD, particularly to design, develop, and deploy effective software services that support information management across different organizational information systems. Within contemporary ISD practice, many information systems are explicitly developed to deliver DS & ML–based services that enable data description, analysis, clustering, classification, evaluation, prediction, and visualization. These services encompass DS & ML approaches applied to both structured and unstructured data, including text, images, time-series, and multimedia data, as well as computer vision and natural language processing methods.

The development of information systems increasingly relies on advances in AI. DS & ML approaches can be widely applied in software engineering and ISD, supporting the analysis and evaluation of complex software, development processes, and system configurations, predictions related to software quality and project management. As a result, solutions employing DS & ML methods are becoming an integral part of modern ISD practices, contributing to more reliable, efficient, and cost-effective software development processes.

Track Chairs

Program Committee

• Adrian Iftene, “Alexandru Ioan Cuza” University of Iasi
• Agnieszka Nowak-Brzezinska, Intitute of Computer Science,University of Silesia, Poland
• Agnieszka Jastrzebska, Warsaw University of Technology
• Aleksandar M. Rakićević, University of Belgrade, Faculty of Organizational Sciences
• Alicja Wieczorkowska, Polish-Japanese Academy of Information Technology
• Ana Poledica, Faculty of Organizational Sciences, University of Belgrade
• Ana Vukicevic, Temple University
• Andrija Petrovic, Faculty of Mechanical engineering
• Anna Król, University of Rzeszów
• Anna Nenca, University of Gdańsk
• Artur Strzelecki, University of Economics in Katowice
• Azimkhon Ostonov, King Abdullah University of Science and Technology
• Barbara Pękala, University of Rzeszów
• Bartłomiej Płaczek, Institute of Computer Science, University of Silesia
• Boban Stojanovic, University of Kragujevac, Faculty of Science
• Daiva Vitkute-Adzgauskiene, Vytautas Magnus University
• Dražen Drašković, University of Belgrade – School of Electrical Engineering
• Eftim Zdravevski, University “Ss.Cyril and Methodius” Faculty Of Computer Science and Engineering
• Florin Leon, “Gheorghe Asachi” Technical University of Iasi
• Giancarlo Sperlì, University of Naples Federico II
• Gordan Jezic, University of Zagreb
• Gordana Savić, Faculty of Organizational Sciences
• Christopher Reichstein, Baden-Wuerttemberg Cooperative State University
• Ioan Petri, Cardiff University
• Ireneusz Czarnowski, Gdynia Maritime University
• Ivana Dragovic, Faculty of Organizational Sciences
• Jarosław Wątróbski, West Pomeranian University of Technology, Szczecin Department of Computer Science and Information Technology
• Jarosław Wąs, AGH University of Krakow
• Jason Papathanasiou, University of Macedonia
• Jenny Coady, Heriot-Watt University
• Katarzyna Harezlak, Institute of Informatics, Silesian University of Technology, Gliwice
• Kathrin Kirchner, Technical University of Denmark
• Łukasz Wawrowski, University of Silesia
• Manfred Rössle, HS Aalen
• Manuel Mazzara, Innopolis University
• Marcin Kulawiak, Gdansk University of Technology
• Marek Kretowski, Bialystok University of Technology
• Marek Grzegorowski, Samsung Research, Poland
• Michael Mrissa, InnoRenew CoE, University of Primorska
• Michał Ryszard Wróbel, Gdansk University of Technology
• Mikhail Moshkov, KAUST
• Miklós Krész, University of Szeged
• Milan Vukicevic, University of Belgrade, Faculty of Organizational Sciences, Belgrade, Serbia
• Miloš Jovanović, Faculty of Organizational Sciences, University of Belgrade
• Miloš Radovanović, University of Novi Sad
• Miroslav Tomić, University of Novi Sad, Faculty of Technical Sciences
• Mohammad Azad, Jouf University
• Mouzhi Ge, Deggendorf Institute of Technology
• Nenad Krdzavac, Leibniz Information Centre for Science and Technology (TIB), Hannover, Germany
• Nevena Milenkovic, University of Belgrade
• Nikola Obrenović, BioSense Institute, University of Novi Sad
• Nikolina Frid, University of Zagreb Faculty of Electrical Engineering and Computing
• Nursultan Askarbekuly, Innopolis University
• Paulina Rutecka, University of Economics in Katowice
• Pavle Milošević, University of Belgrade, Faculty of Organizational Sciences
• Pavlos Delias, Democritus University of Thrace
• Paweł Drygaś, College of natural sciences, University of Rzeszów
• Piotr Artiemjew, University of Warmia and Mazury
• Piotr Porwik, University of Silesia
• Przemysław Kudłacik, University of Silesia
• Rafal Doroz, University of Silesia
• Robert Wrembel, Poznan University of Technology
• Sanda Martincic-Ipsic, University of Rijeka
• Sandro Radovanović, University of Belgrade, Faculty of Organizational Sciences
• Szymon Zaporowski, Gdańsk University of Technology
• Teresa Mroczek, University of Information Technology
• Tomas Krilavicius, Professor, Faculty of Informatics , Vytautas Magnus University
• Tomasz Górecki, Adam Mickiewicz University
• Tomasz Dziubich, Gdansk University of Technology
• Uroš Čibej, University of Ljubljana
• Urszula Stanczyk, Silesian University of Technology
• Urszula Bentkowska, University of Rzeszów
• Urszula Kużelewska, Bialystok University of Technology
• Veljko Papic, School of Electrical Engineering in Belgrade
• Vladimir Kurbalija, Faculty of Science, University of Novi Sad
• Vladimir Ivančević, University of Novi Sad, Faculty of Technical Sciences
• Wiesław Paja, University of Rzeszow
• William Steingartner, Technical university of Kosice
• Wojciech Sałabun, West Pomeranian University of technology, Szczecin
• Zofia Matusiewicz, University of Information Technology and Management in Rzeszow
• Zorica Dodevska, The Institute for Artificial Intelligence Research and Development of Serbia, Novi Sad, Serbia

T5: Digital Transformation and Information Systems Methodologies

The Digital Transformation and Information Systems Methodologies track of the ISD Conference is organized as a co-located event alongside the 18th PLAIS EuroSymposium on Digital Transformation. The EuroSymposium has a well-established tradition, having been continuously organized since 2006 by researchers affiliated with a wide range of academic and research institutions. For many years, it functioned as an independent scholarly forum dedicated to advancing research and discussion in the field of digital transformation. Since 2024, the EuroSymposium has been formally integrated into the AIS ISD Conference, thereby strengthening its international visibility and reinforcing its alignment with the broader information systems research community.

In its current edition, the track places a particular emphasis on issues related to Digital Transformation and Information Systems Methodologies. The primary objective is to foster scholarly discussion on a diverse set of theoretical, methodological, and practical challenges associated with digital transformation, with special attention given to developments emerging in the era of artificial intelligence. Contributions that address methodological perspectives in information systems research, including novel approaches, frameworks, and empirical methods, are especially encouraged and welcomed this year.

The thematic focus of the track encompasses the application of digital transformation across multiple domains, including public administration, private and non-profit organizations, and enterprises undergoing significant technological and organizational change. Particular interest lies in examining how digital technologies, data-driven approaches, and AI-enabled solutions are shaping organizational processes, governance structures, and innovation practices.

More broadly, the EuroSymposium aims to promote and advance high-quality research on all aspects of digital transformation and digital innovation. It seeks to provide a collaborative forum that brings together researchers and practitioners to exchange ideas, establish research partnerships, and collectively contribute to the development of the digital transformation and innovation fields. In doing so, the EuroSymposium emphasizes the critical role of contemporary AI tools and methodologies in shaping current and future research agendas, as well as their practical implications for organizations and society at large.

Track Chairs

Program Committee

• Adam Kiersztyn, Lublin University od Technology
• Adam Przybylek, University of Galway
• Agata Filipowska, Department of Information Systems, Poznan University of Economics
• Allel Hadjali, LIAS/ENSMA
• Andrew Zaliwski, Auckland University of Technology
• Anna Nenca, University of Gdańsk
• Anna Baj-Rogowska, Gdańsk University of Technology
• Arkadiusz Januszewski, Bydgoszcz University of Science and Technology
• Bartłomiej Gawin, University of Gdańsk
• Beata Czarnacka-Chrobot, Warsaw School of Economics
• Catalin Vrabie, National University of Political and Administrative Studies (SNSPA)
• Celina M. Olszak, Katowice University of Economics
• Dariusz Krol, Wrocław University of Science and Technology
• Elzbieta Wojnicka-Sycz, University of Gdansk
• Ewa Ratajczak-Ropel, Gdynia Maritime University
• Gheorghe Cosmin Silaghi, Babes-Bolyai University, Business Information Systems dept.
• Helena Dudycz, Wroclaw University of Economics
• Iryna Zolotaryova, Simon Kuznets Kharkiv National University of Economics
• Jakub Miler, Gdansk University of Technology
• Jakub Swacha, University of Szczecin
• Janice Sipior, Villanova University
• Janusz Wielki, Opole University of Technology
• Janusz Morajda, Krakow University of Economics
• Jarosław Wątróbski, West Pomeranian University of Technology, Szczecin Department of Computer Science and Information Technology
• Jarosław Kujawski, University of Gdansk
• Joanna Szłapczyńska, Gdansk University of Technology
• Julian Szymanski, gdansk university of technology
• Karolina Nurzynska, Silesian University of Technology
• Katarzyna Kusztal, University of Silesia in Katowice, Institute of Computer Science
• Khalid Saeed, Bialystok University of Technology
• Kinga Krupcała, Bydgoszcz University of Science and Technology
• Krzysztof Goczyła, Gdansk University of Technology
• Krzysztof Węcel, Poznan University of Economics and Business
• Lenuța Alboaie, Al. I. Cuza University, Faculty of Computer Science
• Małgorzata Pańkowska, University of Economics in Katowice
• Marcin Paprzycki, IBS PAN and WSM
• Marcin Bartkowiak, Poznan University of Economics and Business
• Maria Mach-Król, VSB – Technical University of Ostrava
• Mariusz Rafało, Warsaw School of Economics
• Michal Dolezel, Prague University of Economics and Business
• Michal Kuciapski, University of Gdansk
• Nava Pliskin, Ben-Gurion University of the Negev
• Patrycja Krauze-Maślankowska, University of Gdańsk
• Przemysław Jatkiewicz, University of Gdańsk
• Rafal Leszczyna, Gdansk University of Technology
• Robert Ślepaczuk, University of Warsaw, Faculty of Economic Sciences, Department of Quantitative Finance
• Samedi Heng, UCLouvain
• Samuel Fosso Wamba, Toulouse Business School
• Slavica Cicvaric Kostic, University of Belgrade Faculty of Organizational Sciences
• Thomas Schuster, Hochschule Pforzheim
• Tomasz Janowski, Gdańsk University of Technology
• Tomasz Dzido, Gdynia Maritime University
• Urszula Kużelewska, Bialystok University of Technology
• Vincenzo Moscato, DIS – University of Naples
• Vitaliy Kobets, Kherson State University
• Witold Andrzejewski, Poznan University of Technology
• Yen Ying Ng, Nicolaus Copernicus University in Toruń

T6: Learning, Education, and Training for ISD

This track focuses on a broad area of information systems (IS) development for education and training. The goal is to create a forum of discussion and dissemination of novel, relevant, and rigorous research, as well as professional and practical experiences that address the challenges and opportunities in the education of IS specialists. As in previous years, we strongly encourage contributions to advance the foundations of IS teaching and learning methodologies.

The track invites submissions on (1) theoretical foundations and best practices related to the design, implementation, evaluation, adoption, and use of IS in formal and informal educational contexts in IS development; (2) theoretical and empirical contributions to understanding and shaping methodological and educational aspects of IS development; and (3) methodological contributions to IS development and education.

Track Chairs

Program Committee

• Alexia Dini Kounoudes, University of Cyprus
• Bilal Maqbool, Department of Mathematics and Computer Science, Karlstad University
• César Guerra-García, Autonomous University of San Luis Potosi
• Edlir Spaho, Beder University College
• Evangelia Vanezi, University of Cyprus
• Gabriel Alberto García-Mireles, Universidad de Sonora
• Georgia Kapitsaki, University of Cyprus
• Hadi Ghanbari, Aalto University School of Business
• Jacob Nørbjerg, Copenhagen Business School
• Jens Dörpinghaus, Federal Institute for Vocational Education and Training (BIBB)
• John Sören Pettersson, Karlstad University
• Jose Luis Sierra, Universidad Complutense de Madrid
• Luka Pavlič, University of Maribor, Faculty of Electrical Engineering and Computer Science
• Nebojša Taušan, University of Novi Sad, Faculty of Economics Subotica, Department of Business Informatics
• Patrik Voštinár, Department of Computer Science, Faculty of Natural Sciences, Matej Bel University
• Paulo Malcher, Federal Rural University of Amazônia (UFRA)
• Pavithra Preethimali Herath Mudiyanselage, Karlstad University
• Styliani Kleanthous, Open University of Cyprus
• Tomas Gustavsson, Karlstads universitet
• Veljko Aleksić, University of Kragujevac, Faculty of Technical Sciences in Čačak, Serbia
• Woubshet Behutiye, University of Oulu

T7: Business Models and IS for Smart Environments

The business model for any human activity or human-created organization defines who creates value and how it is created in a socio-technical context. Participants in this Track are invited to answer how to create and capture value in the Smart Environments, what new business models emerge, how technologies, including robots and AI, change business models and IS, how organizations use cybersecurity to reduce their vulnerability?

To address these questions and discuss on results of impact of digital technologies on business organization as well as on individuals, participants from academia, industry, and consulting are invited to share their knowledge and experience on how emerging business model and IS create value in contemporary society.

Track Chairs

Program Committee

• Adriana Borodzhieva, University of Ruse
• Artur Strzelecki, University of Economics in Katowice
• Blaž Rodič, Faculty of Information Studies
• Errol Francke, Cape Peninsula University of Technology
• Galia Marinova, TECHNICAL UNIVERSITY-SOFIA
• Gianni Carvelli, Università Cattolica del Sacro Cuore
• Jiri Balej, Mendel University in Brno
• Karsten Böhm, FH KufsteinTirol – University of Applies Science
• Lindos Daou, Holy Spirit University of Kaslik
• Marija Jankovic, Centre for Research and Technology Hellas
• Mariusz Żytniewski, University of Economics in Katowice
• Marta Félix, Instituto Politécnico de Castelo Branco
• Mijalche Santa, Ss Cyril and Methodius University in Skopje, Faculty of Еconomics – Skopje.
• Sara Filipe, Instituto Politécnico de Castelo Branco
• Thiru Pandian, The University of Texas at Dallas
• Zahra Mungloo-Dilmohamud, University of Mauritius

T8: General Topics in ISD

The information systems scientific area continues to change at an almost instantaneous pace, making it challenging to keep up with the latest trends. Nevertheless, understanding these latest technological trends is significant for businesses and individuals who want to stay in the vanguard. The dynamic scientific area of Information Systems (IS) is full of new technologies, tools, software frameworks, and innovative ideas. Being so, it is important for researchers as well as for professionals to be informed of these recent emerging trends and all that they entail.

Today, the IS discipline faces new challenges. Emerging technologies as well as matured approaches to the social, technical, and developmental role of IS in new areas provide a new context for the evolution of the discipline over the next few years.

Track Chairs

Program Committee

• Alena Buchalcevova, Prague University of Economics and Business
• Algirdas Šukys, KTU
• Bartłomiej Gawin, University of Gdańsk
• Bartłomiej Balsamski, Krakow University of Economics
• Dariusz Dymek, Cracow University of Economics
• Ella Kolkowska, Örebro University School of Business
• Erika Nazaruka, Insitute of Applied Computer Systems, Riga Technical University
• Filip Vencovsky, Prague University of Economics and Business
• François Charoy, Université de Lorraine – LORIA – Inria
• Frederico Branco, Universidade de Trás-os-Montes e Alto Douro
• Henderik A. Proper, TU Wien, Vienna, Austria
• Jan Kučera, Prague University of Economics and Business
• Jan Černý, Faculty of Informatics and Statistics
• Jānis Grabis, Riga Technical University
• Janusz Stal, Krakow University of Economics
• Janusz Morajda, Krakow University of Economics
• Khalid Saeed, Bialystok University of Technology
• Krzysztof Wrobel, Uniwersity of Silesia / Institute of Computer Science
• Ksenija Lace, Riga Technical University
• Kurt Sandkuhl, The University of Rostock
• Lukas Herout, Skoda Auto University
• Malgorzata Pankowska, University of Economics
• Mariusz Boryczka, Institute of Computer Science, University of Silesia
• Mariusz Grabowski, Cracow University of Economics
• Martin Potančok, University of Economics, Prague
• Michal Smialek, Warsaw University of Technology
• Michal Dolezel, Prague University of Economics and Business
• Milos Maryska, Prague University of Economics and Business
• Oleg Svatoš, Prague University of Economics and Business
• Ovidiu Noran, Griffith University
• Pavel Sládek, Prague University of Economics and Business
• Paweł Lustofin, University of Economics in Krakow
• Peteris Rudzajs, Riga Technical University
• Stepan Alexa, Prague University of Economics and Business
• Sylwia Kopczyńska, Poznan University of Technology
• Tomáš Bruckner, Prague University of Economics and Business
• Urszula Boryczka, University of Silesia

International Steering Committee

Former Members