Acta Informatica Pragensia, 2021 (vol. 10), issue 1
Article
Financial Inclusion of the Elderly: Exploring the Role of Mobile Banking Adoption
Nkosikhona Theoren Msweli, Tendani Mawela
Acta Informatica Pragensia 2021, 10(1), 1-21 | DOI: 10.18267/j.aip.1439831 
The extant literature highlights that mobile banking offers various benefits for consumers. However, there is only a limited number of studies that investigate mobile banking adoption by the elderly. This study investigates the factors influencing the adoption of mobile banking by the elderly in a developing country context. The authors explore the enablers, barriers and perceptions of the elderly towards mobile banking adoption. Data were collected through interviews and focus group sessions with respondents from KwaZulu Natal Province in South Africa. The study relies on the Actor-Network Theory as a lens through which to understand the interrelated...
Expected and Achieved Benefits of ERP Systems Implementation over Time
Libor Měsíček, Pavel Petrus, Adéla Stránská
Acta Informatica Pragensia 2021, 10(1), 22-37 | DOI: 10.18267/j.aip.1444822
Today information systems are an inseparable part of all companies. This study deals with the non-financial implications occurring while implementing the enterprise resource planning software called AROP in 3 manufacturing companies being in different implementation phases. The work was based on semi-structured interviews, which were supplemented by a questionnaire survey with the management and the employees of the companies. The primary goal was to determine both the expected and the real impacts associated with the introduction of AROP software in the companies. The secondary goal was to determine satisfaction with AROP training in individual companies...
Three Metric-Based Method for Data Compatibility Calculation
Daniel Vodňanský
Acta Informatica Pragensia 2021, 10(1), 38-60 | DOI: 10.18267/j.aip.1453218
This article analyzes ways of calculating characteristics of data and most common data structure types that allow comparison between them or on a time axis. To achieve this, it studies the key aspects of relational databases, XML, JSON and RDF structure types. These data structure types are compared to multiple isolated approaches to data quality and other data characteristics measurements. The goals of the article are the calculation method itself and a storage structure for calculated values. The article presents a method of characterization of data and data structure types based on the calculation of three metrics: the amount of structuredness,...
Bibliometric Analysis of Clinical Decision Support Systems
Cemal Aktürk
Acta Informatica Pragensia 2021, 10(1), 61-74 | DOI: 10.18267/j.aip.1464644
Clinical decision support systems are computer systems that help decision-makers make effective and efficient decisions in the diagnosis and treatment of diseases, patient care, and health institution management. In this study, descriptive and bibliometric analyses were carried out of studies on clinical decision support systems conducted between 2016 and 2021 in journals included in the Web of Science database. In the first stage, the distribution of the articles was determined according to the publication year, country, institution, journal and citation numbers within the scope of descriptive analysis. In the second stage, within the scope of bibliometric...
Automated Computer Attacks Detection in University Environment
Lukáš Švarc, Pavel Strnad
Acta Informatica Pragensia 2021, 10(1), 75-84 | DOI: 10.18267/j.aip.1473105
Since the massive expansion of the Internet into a commercial world, the security of computer systems has become a priority. There are other areas that see an increase in the inclusion of the Internet, like national governments, hospitals, and university systems. All these systems contain highly sensitive information. In an effort to increase the security of internal data, we propose a novel method for the detection of automated computer attacks. This method was tested on a custom dataset prepared from the logs of the university information system at Prague University of Economics and Business. Two datasets were used. The first dataset contained only...
Proposing Two Hybrid Data Mining Models for Discovering Students’ Mental Health Problems
Shabnam Shadroo, Mohsen Yoosefi Nejad, Samira Tavanaiee Yosefian, Morteza Naserbakht, Mehdi Hosseinzadeh
Acta Informatica Pragensia 2021, 10(1), 85-107 | DOI: 10.18267/j.aip.1482813
Mental health is an important issue for university students. The objective of this article was to apply and compare the different classification methods for students’ mental health problems. Furthermore, it presents an ensemble classification method to improve the accuracy of classifiers and assist psychologists in the decision making process. For this, 10 different classifiers were applied for classifying students into two groups. In addition, two methods of combining the classifiers are presented. In the first proposed method, the classifiers were selected based on their accuracy, and then voting was carried out based on maximum probability....
Effective Designing of Order Picking Systems Using Dynamic Simulation
Petra Kašparová, Jakub Dyntar
Acta Informatica Pragensia 2021, 10(1), 108-120 | DOI: 10.18267/j.aip.1494288
In this article, we describe the use of dynamic simulation when designing an effective system for order picking within a distribution warehouse. The simulation model was created in the Witness software environment for discrete dynamic simulation and is a modification of a general simulation model of material flows in supplier systems. Using the example of a batch system for picking orders in a drugstore goods warehouse, we discuss the possibilities of using a general simulation model of material flows as an effective framework for the development of system support for warehouse processes using WMS. The simulation model is based on the possibility of...