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Data Management Technologies and Applications ; 8th International Conference, DATA 2019, Prague, Czech Republic, July 26–28, 2019, Revised Selected Papers
This book constitutes the thoroughly refereed proceedings of the 8th International Conference on Data Management Technologies and Applications, DATA 2019, held in Prague, Czech Republic, in July 2019. The 8 revised full papers were carefully reviewed and selected from 90 submissions. The papers deal with the following topics: decision support systems, data analytics, data and information quality, digital rights management, big data, knowledge management, ontology engineering, digital libraries, mobile databases, object-oriented database systems, and data integrity.
Managing Information Quality : Increasing the Value of Information in Knowledge-intensive Products and Processes
It still holds true: information is not always the answer. Information is often part of the problem. While the main goal of information in the business place is to - able adequate decisions and actions, it can also lead to numerous negative effects: it can confuse, block creativity, or it can lead to hectic activism, stress and fatigue. Information can distract and divert attention, and it may even delay important - cisions – the paralysis by analysis. Strategies to avoid these dysfunctional effects of information can be divided into sender-based strategies and receiver-based strategies.
Analysis and evaluation of a proposed human resources management system using success assessment models
Aims to develop a comprehensive model of human resources information systems (HRIS) and assess the success of it .There are six critical success measures in this model, namely perceived HRIS system quality, perceived HRIS information quality, perceived HRIS ease of use, perceived HRIS usefulness, HRIS user satisfaction, and overall HRIS success.
