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ABOUT THE BOOK

This volume is a collection of papers on emerging concepts, significant insights, and novel approaches on information systems development (ISD). It examines and investigates up-and-coming trends in ISD in general, emphasizing benefits and risks of Artificial Intelligence in the development and operation of Information Systems. The book draws on invited papers selected from the proceedings of the 30th International Conference on Information Systems Development hosted by Babeș-Bolyai University, Cluj-Napoca, Romania, August 31 - September 2, 2022 (ISD2022). 
The theme of ISD2022 was “Artificial Intelligence  for Information Systems Development and Operations”. The conference focused on the interplay between Information Systems and Artificial Intelligence, trying to emphasize novel, smarter automation approaches and the mitigation of risks related to AI adoption. Primary readership of the volume are researchers interested in methodological and operational perspectives related to ISD in general, and to AI adoption as a means of digital transformation in particular.

TABLE OF CONTENTS

1. A DSR Study on Iterative Tool Development to Measure IT Process Maturity in an Agile Context

   • Björn Johansson, Henn Jaadla, Tomas Gustavsson

   Pages 1-17

2. A Living Lab Perspective on Information Systems Development Process

   • Abdolrasoul Habibipour, Anna Ståhlbröst

   Pages 19-34

3. Cloud-Based Business Intelligence Solutions in the Management of Polish Companies

   • Damian Dziembek, Leszek Ziora

   Pages 35-52

4. Conceptualizing Node.js Projects: A Graph-Oriented Technology-Specific Modeling Method

   • Bianca Lixandru, Robert Andrei Buchmann, Ana-Maria Ghiran

   Pages 53-72

5. Employing Graph Databases for Business Process Management and Representation

   • Ștefan Uifălean, Ana-Maria Ghiran, Robert Andrei Buchmann

   Pages 73-92

6. IT Alignment as a Roadmap for Digital Transformation Success

   • Gideon Mekonnen Jonathan, Lazar Rusu, Erik Perjons

   Pages 93-113

7. On What Kind of Applications Can Clustering Be Used for Inferring MVC Architectural Layers?

   • Dragoş Dobrean, Laura Dioşan

   Pages 115-131

8. Police Interventions as a Context-Aware System. A Case of a Contextual Data Modelling

   • Radosław Klimek

   Pages 133-148

9. Relevance Judgment Convergence Degree—A Measure of Assessors Inconsistency for Information Retrieval Datasets

   • Dengya Zhu, Shastri L. Nimmagadda, Kok Wai Wong, Torsten Reiners

   Pages 149-168

10. Studies on Neural Networks as a Fusion Method for Dispersed Data with Noise

    • Małgorzata Przybyła-Kasperek, Kwabena Frimpong Marfo

    Pages 169-186

11. Temporal VIKOR—A New MCDA Method Supporting Sustainability Assessment

    • Jarosław Wątróbski, Aleksandra Bączkiewicz, Ewa Ziemba, Wojciech Sałabun

    Pages 187-206

12. Topic Classification for Short Texts

    • Dan Claudiu Neagu, Andrei Bogdan Rus, Mihai Grec, Mihai Boroianu, Gheorghe Cosmin Silaghi

    Pages 207-222

13. What Do They Study?: A Survey on Factors Influencing the Selection of Information Systems as a Major

    • Joni Matias Rajala, Netta Iivari, Marianne Kinnula, Dorina Rajanen, Tonja Molin-Juustila

    Pages 223-237