Information Technology for Management: Solving Social and Business Problems Through IT
ITBS 2023 Main Track and ISM 2023 Thematic Track, Held as Part of FedCSIS 2023, Warsaw, Poland, September 17–20, 2023, Extended and Revised Selected Papers
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Beschreibung
The present book includes extended and revised versions of a set of selected papers submitted to the Topical Area of Information Technology for Business and Society, ITBS 2023, and two Thematic Tracks: Information System Management, ISM 2023, and Knowledge Acquisition and Management, KAM 2023, held in Poland, Warsaw, during September 17- 20, 2023.
ITBS 2023 received 26 submissions, from which 6 full papers and 2 short papers have been accepted; for ISM 2023 3 full papers and 1 short paper have been accepted from 21 submissions; and for KAM 2023 1 full has been accepted from 7 submissions. From the 6 submissions to DSH 2023, no paper passed the extended reviews. The accepted papers are grouped in sections on IT in Improving of Management Systems, Approaches to Improving of Social Problems, and Methods of Solving Business.
The present book includes extended and revised versions of a set of selected papers submitted to the Topical Area of Information Technology for Business and Society, ITBS 2023, and two Thematic Tracks: Information System Management, ISM 2023, and Knowledge Acquisition and Management, KAM 2023, held in Poland, Warsaw, during September 17- 20, 2023.
ITBS 2023 received 26 submissions, from which 6 full papers and 2 short papers have been accepted; for ISM 2023 3 full papers and 1 short paper have been accepted from 21 submissions; and for KAM 2023 1 full paper has been accepted from 7 submissions. From the 6 submissions to DSH 2023, no paper passed the extended reviews. The accepted papers are grouped in sections on IT in Improving of Management Systems, Approaches to Improving of Social Problems, and Methods of Solving Business.
Autor*in
Ewa Ziemba
Themen in »Information Technology for Management: Solving Social and Business Problems Through IT«
business information systems project management computer applications artificial intelligence business intelligence linked open data multi-criteria decision-making RDF - resource description framework deep learning