Information Technology for Management: Approaches to Improving Business and Society

This book constitutes revised selected and extended papers presented at track 4 of the Conference on Computer Science and Intelligence Systems, FedCSIS 2022, which took place in Sofia, Bulgaria, during September 47, 2022. The FedCSIS Information Systems and Technologies Track included AIST 2022, ISM 2022, DSH 2022, and KAM 2022. AIST 2022 received 11 submissions, from which 2 full papers and 1 short paper have been accepted; for ISM 2022 2 full and 3 short papers have been accepted from 15 submissions; and for DSH 2022 2 full and 1 short papers have been accepted from 11 submissions. From the 17 submissions to KAM 2022, no paper passed the extended reviews, so the overall acceptance rate was 20% for full and 18% for short papers.
The papers were organized in topical sections named: Approaches to improving business; approaches to improving society; and methods for improving business and society.

Contenu
Configuration Approach of User Requirements for Analytical Applications - Challenges, State of the Art and Evaluation.- Human Performance Management: A Humanist and Supportive Model for IT Professionals.- Companies in Multilingual Wikipedia: Articles Quality and Important Sources of Information.- Analysis for Women's' Menstrual Health Disorders using Artificial Intelligence.- Symptoms of Dementia in Elderly Persons using Waveform Features of Pupil Light Reflex.- Assessment of Optimisation Results for Shared Cars.- A Students' Perception of Distance Activities during the COVID-19 Pandemic: Polish and Ukrainian Perspective.- The Iterative Compromise Ranking Analysis (ICRA) the New Approach to Make Reliable Decisions.- Temporal SWARA-SPOTIS for Multi-Criteria Assessment of European Countries Regarding Sustainable RES Exploitation.- A Sustainable Approach for Determining Compromise Ranking Based on Intuitonistic Fuzzy Score Functions.- Missing Types Prediction in Linked Data Using Deep Neural Network with Attention Mechanism: Case Study on DBpedia and UniProt Datasets.

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