BIR-WS 2024
BIR 2024 Workshops and Doctoral Consortium

Table of Contents

• Preface
  Summary: Out of 34 initial submissions, this volume contains a total of 17 regular papers and 6 short papers presented on the Workshops and Doctoral Consortium Day at BIR 2024. BITA received 10 submissions and accepted 6 regular papers. OMiLAB-KNOW received 10 submissions and accepted 5 regular papers and 1 short paper. ManComp received 10 submissions, accepting 4 regular papers and 3 short papers. The Doctoral Consortium received 4 submissions and included in the proceedings 2 regular papers and 2 short papers.

BITA 2024

• Enterprise Architecture Management value creation mechanisms 1 - 15
  Sofia Tiitinen, Jarkko Nurmi, Ville Seppänen
• A systematic literature review of AI-enabled predictive analytics in smart grids 16 - 30
  Theodore Kindong, Björn Johansson, Victoria Paulsson
• Application of supervised machine learning models for card payment workflow optimization 31 - 44
  Oskars Rodiņš
• The interplay between knowledge management and the social dimension of business-IT alignment 45 - 59
  Rikard Kloth, Gideon Mekonnen Jonathan
• Applying a digiphysical approach for post-covid rehabilitation 60 - 72
  Martin Henkel, Erik Perjons, Kristian Borg, Uno Fors, Jan Johansson, Marika C. Möller, Christer Wåhlander, Kalle Wåhlander
• Energy management systems in SME: State of research and methodical considerations 73 - 89
  Marcus Triller, Kurt Sandkuhl

ManComp 2024

• Modelling intangibles using EM: a duo-hierarchy method in strategic resource analysis 90 - 105
  Victoria Klyukina
• What does complex adaptive systems theory mean for modelling of organisational rules? 106 - 111
  Jöran Lindeberg, Martin Henkel, Eric-Oluf Svee
• How does the presentation mode of enterprise architecture artifacts affect their use in decision-making? 112 - 118
  Jarkko Nurmi, Ville Seppänen
• Users' understanding of smart meters in Sweden: an interpretive study 119 - 133
  Shashini Rajaguru, Björn Johansson, Gianluigi Viscusi
• Managing the complexity of business-process models by personas, stories, and related modelling artifacts 134 - 140
  Peter Forbrig, Anke Dittmar
• Simplifying road to defining a scientific problem and hypothesis through gamified and storytelling-enhanced teaching of requirements engineering 141 - 152
  Ksenija Lace, Marite Kirikova
• Ontology for data science research results reuse 153 - 166
  Aritha Kumarasinghe, Marite Kirikova

OMILAB-KNOW 2024

• Design and development of an IoT system for audiovisual self-administered tests 167 - 179
  Massimo Callisto De Donato, Flavio Corradini, Flavio Fabbrizi, Fabrizio Fornari, Barbara Re
• Introducing model-based tool support for applying zero-trust security for microservices at a bank 180 - 188
  Donald Baldwin, Martin Henkel, Erik Perjons
• A modeling approach to cyber threat mitigation 189 - 200
  Andrei Chiș, Oliviu Ionut Stoica, Ana-Maria Ghiran
• An ontology-based meta-modelling approach for software test cases 201 - 212
  Nehemiah Mung'Au, Emanuele Laurenzi
• AOAME4FloWare: ontology-based feature models for context-aware configurations in IoT applications 213 - 224
  Arianna Fedeli, Martin Peraic, Emanuele Laurenzi, Andrea Polini
• Evaluation of the intuitiveness of MIoTA 225 - 237
  Benjamin Nast, Kurt Sandkuhl

Doctoral Consortium 2024

• Towards process guidelines for software feature prioritization at different stages of product maturity 238 - 244
  Adam Krbusek
• Ontology modelling for gamification of feedback in higher education: Integrating game elements through the MDA framework 245 - 253
  Tomas Novotny
• Information models in healthcare: CAR T-cell therapy 254 - 266
  Veronika Kostrouchová
• AI applications in SG for reliability, security, and stability 267 - 278
  Theodore Kindong