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Dive into the research topics where Ivan Soukal is active.

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Featured researches published by Ivan Soukal.


Procedia Computer Science | 2011

Retail core banking services e-banking client cluster identification

Ivan Soukal; Martina Hedvicakova

Abstract This paper is focused on retail core banking services market in the Czech Republic. There are presented the data analysis outcomes from expert web-system for client’s bank costs computation and real-time bank offer comparison. Using nonhierarchical cluster analysis there are identified 5 client profiles by specific frequencies of bank services usage. Paper reveals that among the e-banking population there are expectable clusters so the unexpected cluster small businessmen that are not supposed to use retail products and cluster of strong desk usage preference clients by contrast to activated e-banking.


international conference on business informatics research | 2016

The Novel Approach to Organization and Navigation by Using All Organization Schemes Simultaneously

Aneta Bartuskova; Ivan Soukal

Traditional navigation of websites and web-based systems has a limited information value apart from text values of individual navigation items. We present a method for constructing an information-rich navigation, based on advantages of vertical menus, site maps and tag clouds. Our solution is theoretically grounded in classification of organization schemes and presents an arrangement by all organization schemes simultaneously. Layers of organization are distinguished by a combined use of textual, spatial and visual techniques. Proposed method utilizes combination of objective means of organization, increased information density and reduced interaction cost. This arrangement is expected to facilitate efficient browsing in web environment and is applicable also on learning or knowledge management systems.


international conference on computational collective intelligence | 2015

Framework of Design Requirements for E-learning Applied on Blackboard Learning System

Aneta Bartuskova; Ondrej Krejcar; Ivan Soukal

Existing evaluations of learning systems are mostly based on a subjective feedback from end users, in order to measure their satisfaction and experience with the system. The results usually only indicate which areas are weaker than others; comments obtained from users are often casual and fuzzy. Therefore we propose a systematic review of usability and visual appeal by experts in HCI to complement current practice. Our solution of assessment is based on a framework of design requirements for e-learning purposes, which provides a concise easy to follow checklist, covering all significant areas of design assessment. This approach offers factual design issues which should be dealt with and can be especially useful in cases, where feedback from users is hard to obtain or it does not reveal any useful information.


international conference on computational collective intelligence | 2017

Design Proposal of the Corporate Knowledge Management System

Ivan Soukal; Aneta Bartuskova

This paper presents a proposal of the knowledge management system for managing and refining corporate knowledge. This information system is web-based to allow online immediate access. Corporate knowledge is organized to enable efficient extraction and use in business processes. It can be stored in a form of the course (organized by time sequence) or repository (i.e. collection of resources), depending on the characteristics of the particular knowledge. The system´s proposal will be demonstrated on the principle of several facilitators and many system users (employees). The proposed system can be just the same used for educational purposes, especially in lifelong learning.


international conference on computational collective intelligence | 2017

WINE: Web Integrated Navigation Extension; Conceptual Design, Model and Interface

Ivan Soukal; Aneta Bartuskova

Limitations in the area of web navigation and organization usually lead to poor usability, which further leads to user disorientation and dissatisfaction. In this paper we present WINE (Web Integrated Navigation Extension) as the novel alternative solution for efficient information retrieval. With combining website’s data and local user data, WINE can offer useful navigation options in a consistent stable environment. In the case of missing support, partial solution is offered. One of the main goals of this interface is reducing interaction cost and user disorientation and provide means of personalization in the scope of each website or system.


international conference on computational collective intelligence | 2017

Application of Smart Multidimensional Navigation in Web-Based Systems

Ivan Soukal; Aneta Bartuskova

In this paper we further develop a new method for implementing multidimensional navigation. This technique is based on advantages of web-based techniques such as site maps, vertical menus and tag clouds. It combines high informational density of tags with structural quality of traditional hierarchical navigation. The result is organization by all org. schemes at once, increased information density and reduced interaction and attention-switching cost. Multidimensional navigation is expected to enhance efficiency of information retrieval especially on websites and web-based systems. It can be however applied also on information systems such as knowledge management or educational systems.


Procedia. Economics and finance | 2015

The Latest Case of Information Asymmetry Issue on the Retail Core Banking Services Market in the Czech Republic

Ivan Soukal; Martina Hedvicakova

Abstract The paper is focused on the latest information asymmetry issue in the Czech Republic on the retail banking services market. The problem considers credit union (savings cooperative) business that seemed stable after the problematic restructure 10 years ago. But during this January the payment from Deposit Insurance Fund of the Czech Republic had to compensate the consumers of the MSD credit union. This subject provided services with higher interest rates even during the last years of technically zero interest rate of the central bank. A question information asymmetry and the moral hazard arose again. All that is written in famous study for European central bank by VesalaetGropp supporting the explicit deposit insurance system is correct but the conditions has partially changed. Credit unions try to compete with banks undertaking a higher level of credit risk but still being within Basel II accords. The paper is considering the question of the future development – to try to compete with the conventional banks as FIO credit union successfully did or to return to “Austrian” model. Next future trend is outlined in sum up of the deposit insurance system characteristics backed by other several studies. Also the problem of information asymmetry overcome is being discussed with the result that mostly used monitoring indicator cannot be applied to credit union market.


Archive | 2013

The Retail Banking Adverse Selection: RCBS Calculator Solution

Martina Hedvicakova; Ivan Soukal; J. Nemecek

The paper is focused on the field of retail core banking services market (RCBS) in the Czech Republic. The surveys of the European Union repeatedly identified fundamental market imperfection—the asymmetry of information. The specific manifestations of this problem are clients’ high costs on search or the market overview, tariff opacity, product-tying and lack of comparison tools. At the end of the 2010 there was launched the web-accessible system of RCBS calculator that help the client to get the market overview individually adjusted to his or hers RCBS usage profile. The paper uses the BPM to introduce the system’s data acquisition module that is a key part of process. The rest of the paper shows the possibility how to employ the data acquired during the process to even more help to reduce the costs on search for the optimal product according the price and range of the demanded services.


Procedia Technology | 2012

Retail core banking services costs optimization

Martina Hedvicakova; Ivan Soukal


Procedia - Social and Behavioral Sciences | 2012

Consumer Desired Price Modeling – Case Study on the RCBS Market

Ivan Soukal; Jan Draessler

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Martina Hedvicakova

University of Hradec Králové

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Aneta Bartuskova

University of Hradec Králové

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Jan Draessler

University of Hradec Králové

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J. Nemecek

University of Hradec Králové

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Ondrej Krejcar

University of Hradec Králové

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