Digital Transformation: 13th Plais Eurosymposium on Digital Transformation, Plais Eurosymposium 2021, Sopot, Poland, September 23, 2021, Proce

ISBN-13: 9783030858926 / Angielski / Miękka / 2021 / 150 str.

Stanislaw Wrycza; Jacek Maślankowski

Spis treści

Digital Enterprises.- Digital Maturity of Retail Enterprises in Ukraine: Technology of Definition and Directions of Improvement.- Maturity Models for the Assessment of Artificial Intelligence in Small and Medium-Sized Enterprises.- Experience from attempts to implement an e-CRM system in an e-Commerce Micro Enterprise.- The Diagnostic Model for Assessing the State of Stability of an Industrial Enterprise.- Smart Cities.- Open Data and Smart City Initiatives for Digital Transformation in Public Sector in Poland. A Survey.- The Role of Smart Buildings in the Digital Transformation Era: Insight on China.- Digital Education.- Digital Education and Information Security in Obstetric Students in COVID-19 pandemic times in Peru.- Tools and Services of the Cloud-Based Systems of Open Science Formation in the Process of Teachers’ Training and Professional Development.- Innovative Methods in Data and Process Analysis.- Convolutional Neural Networks to Protect Against Spoofing Attacks on Biometric Face Authentication.- Process Mining for the analysis of pre-sales customer service process – a hidden observation in a Polish automotive organization.

Blurb

This book constitutes the refereed proceedings of the 13th PLAIS EuroSymposium 2021 which was held in Sopot, Poland, on September 23, 2021.

The objective of the PLAIS EuroSymposium 2021 is to promote and develop high quality research on all issues related to digital transformation. It provides a forum for IS researchers and practitioners in Europe and beyond to interact, collaborate, and develop this field.

The 10 papers presented in this volume were carefully reviewed and selected from 34 submissions. They were organized in topical sections named: digital enterprises; smart cities; digital education; and innovative methods in data and process analysis.