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<ici-import><journal issn="1803-9790"/><issue number="B" volume="26" year="2020" publicationDate="2020-09-30" coverDate="2/2020" coverUrl="https://acc-ern.tul.cz/archiv/LABEL/ACC_Journal_2020_2.jpg" numberOfArticles="8"><article externalId="ACC_21872"><type>ORIGINAL_ARTICLE</type><languageVersion externalId="en21872" language="en"><title>EHEALTH IN THE EUROPEAN UNION – COMPARATIVE STUDY</title><abstract>eHealth is one of the global modern trends in IT, medicine and politics. It is a broad term that refers to electronization of healthcare and health services and mainly describes the use of information and communication technologies in healthcare. In practice, the evaluation of eHealth is an important matter because it leads to selection of appropriate measures for further progress in the field of electronic healthcare. What is more, it proposes recommendations for the development of eHealth in the EU countries. The article is focused on the comparison of eHealth implementation in the European Union member states. The analysis is performed by means of ELECTRE III method. The results of the empirical research further evaluate the state of eHealth implementation in all European Union member states by selected criteria and enable the comparison of the eHealth implementation in the international context. The results are verified by application of MAPPAC method. It has been acknowledged that the best ranking countries in this area has been obtained by Denmark, Finland, Estonia and Sweden.</abstract><pdfFileUrl>https://acc-ern.tul.cz/archiv/PDF/ACC_2020_2_01.pdf</pdfFileUrl><publicationDate>2020-09-30</publicationDate><pageFrom>7</pageFrom><pageTo>18</pageTo><doi>10.15240/tul/004/2020-2-001</doi><keywords><keyword>eHealth</keyword><keyword>ELECTRE III</keyword><keyword>Evaluation</keyword><keyword>EU countries</keyword></keywords></languageVersion><authors><author><name>Eva</name><surname>Ardielli</surname><email>eva.ardielli@vsb.cz</email><order>1</order><instituteAffiliation>VŠB – Technical University of Ostrava, Faculty of Economics, Department of Public Economics</instituteAffiliation><role>AUTHOR</role></author></authors><references><reference><unparsedContent>ADEBESIN, F.; KOTZÉ, P.; van GREUNEN, D.; FOSTER, R.: Barriers and Challenges to the Adoption of E-Health Standards in Africa. 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The study allowed identifying three groups of the main barriers and formulating some recommendations for their overcoming.</abstract><pdfFileUrl>https://acc-ern.tul.cz/archiv/PDF/ACC_2020_2_02.pdf</pdfFileUrl><publicationDate>2020-09-30</publicationDate><pageFrom>19</pageFrom><pageTo>28</pageTo><doi>10.15240/tul/004/2020-2-002</doi><keywords><keyword>Russia</keyword><keyword>Nonprofit sector</keyword><keyword>Nongovernmental organization</keyword><keyword>Civic participation</keyword><keyword>Civic engagement</keyword></keywords></languageVersion><authors><author><name>Anna</name><surname>Artamonova</surname><email>artamonova.ast@gmail.com</email><order>1</order><instituteAffiliation>Vologda Research Center of the Russian Academy of Sciences, Department of Editorial-and-Publishing Activity and Science-Informat</instituteAffiliation><role>AUTHOR</role></author></authors><references><reference><unparsedContent>MERSIANOVA, I. V.; BENEVOLENSKI, V. B. 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The first part of the article presents a short introduction of the decision-making process and an overview of hitherto known and used tools facilitating the whole procedure. The submitted study of available literature leads to the presentation of own classification of the most widely used decision-making methods. Based on a questionnaire survey, in the second section, the pilot research examines the involvement of five different groups of methods in business decision-making, such as intuition and previous experiences, consultation with colleagues, data analysis (historical), MCDM methods and consultation with experts. Afterwards, the most common obstacles that employees must face in introducing new tools have been identified. In general, the results show that time and the associated pressure on decision-making speed play a crucial role in the decision-making process.</abstract><pdfFileUrl>https://acc-ern.tul.cz/archiv/PDF/ACC_2020_2_03.pdf</pdfFileUrl><publicationDate>2020-09-30</publicationDate><pageFrom>29</pageFrom><pageTo>40</pageTo><doi>10.15240/tul/004/2020-2-003</doi><keywords><keyword>Decision-making process</keyword><keyword>Decision-making methods</keyword><keyword>Business intelligence</keyword><keyword>Mann-Whitney test</keyword></keywords></languageVersion><authors><author><name>Petra</name><surname>Kašparová</surname><email>petra.kasparova1@tul.cz</email><order>1</order><instituteAffiliation>Technical University of Liberec, Faculty of Economics, Department of Business Administration and Management</instituteAffiliation><role>AUTHOR</role></author></authors><references><reference><unparsedContent>POKORNÝ, M.: Nekonveční metody řešení ekonomických a manažerských úloh. 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It is typical for undervalued stocks to be traded at a low price at some point due to their fundamental characteristics. In the future, undervalued stocks can be expected to rise in price, which can bring a capital gain to an investor who bought at a low price. Undervalued stocks are therefore recommended for purchase.&#13;
An important prerequisite is therefore the accurate timing of buy and sell signals. The problem, however, is that no one knows exactly when the right time will come, because the market price of stocks is affected by many factors that have an impact on fluctuations in the market value of stocks. For this reason, volatility modeling is coming to the forefront of the interests of many financial analysts and investors.</abstract><pdfFileUrl>https://acc-ern.tul.cz/archiv/PDF/ACC_2020_2_04.pdf</pdfFileUrl><publicationDate>2020-09-30</publicationDate><pageFrom>41</pageFrom><pageTo>53</pageTo><doi>10.15240/tul/004/2020-2-004</doi><keywords><keyword>ARMA model</keyword><keyword>GARCH model</keyword><keyword>Stocks</keyword><keyword>Volatility</keyword><keyword>Komerční banka</keyword></keywords></languageVersion><authors><author><name>Markéta</name><surname>Sedláková</surname><email>marketa.dvorakova029@gmail.com</email><order>1</order><instituteAffiliation>University of South Bohemia, Faculty of Economics, Department of Applied Mathematics and Informatics</instituteAffiliation><role>AUTHOR</role></author></authors><references><reference><unparsedContent>DANEL, R.: Predikce časové řady pomocí autoregresního modelu. [online]. Czech Republic, Technická univerzita Ostrava, 2004. 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Available from WWW: https://core.ac.uk/download/pdf/6407474.pdf</unparsedContent><order>6</order></reference></references></article><article externalId="ACC_21876"><type>ORIGINAL_ARTICLE</type><languageVersion externalId="en21876" language="en"><title>READINESS OF SMALL AND MEDIUM ENTERPRISES FOR MARKETING AUTOMATION</title><abstract>As the technological progress of online shopping and advertising advances with increased speed, marketing automation has been gaining more attention from both practitioners and academics. However, despite the growing popularity of this new marketing approach, there are many restrictions when it comes to its implementation by small and medium enterprises (SMEs). Due to the high requirements regarding the collection of customer data and advanced knowledge necessary to set up and operate marketing automation systems, many enterprises are not able to fully grasp the potential marketing technologies offer. This article describes the mechanisms of marketing automation, provides the state-of-art research overview and analyses current level of readiness of Czech SMEs to implement digital marketing tools and the obstacles that prevent them to do so.</abstract><pdfFileUrl>https://acc-ern.tul.cz/archiv/PDF/ACC_2020_2_05.pdf</pdfFileUrl><publicationDate>2020-09-30</publicationDate><pageFrom>54</pageFrom><pageTo>68</pageTo><doi>10.15240/tul/004/2020-2-005</doi><keywords><keyword>Marketing automation</keyword><keyword>E-commerce</keyword><keyword>Digital economics</keyword><keyword>Customer data</keyword><keyword>Personalization</keyword></keywords></languageVersion><authors><author><name>Tereza</name><surname>Semerádová</surname><email>tereza.semeradova@tul.cz</email><order>1</order><instituteAffiliation>Technical University of Liberec, Faculty of Economics, Department of Informatics</instituteAffiliation><role>AUTHOR</role></author><author><name>Petr</name><surname>Weinlich</surname><email>petr.weinlich@tul.cz</email><order>2</order><instituteAffiliation>Technical University of Liberec, Faculty of Economics, Department of Informatics</instituteAffiliation><role>AUTHOR</role></author></authors><references><reference><unparsedContent>LITTLE, J.: Marketing automation on the internet. [online]. In: 5th Invitational Choice Symposium. UCBerkeley, 2001. [accessed 2020-06-14]. Available from WWW: https://www.andrew.cmu.edu/user/alm3/presentations/choicesymposium2001/little.pdf</unparsedContent><order>1</order></reference><reference><unparsedContent>SWEEZEY, M.: Marketing automation for dummies. John Wiley &amp; Sons, 2014. ISBN 978-1-118-77222-5.</unparsedContent><order>2</order></reference><reference><unparsedContent>WOOD, C.: Marketing automation: Lessons learnt so far …. Journal of Direct, Data and Digital Marketing Practice. 2015, Vol. 16, Issue 4, pp. 251–254. </unparsedContent><order>3</order><doi>10.1057/dddmp.2015.31</doi></reference><reference><unparsedContent>MONTGOMERY, A. L.; SMITH, M. D.: Prospects for Personalization on the Internet. Journal of Interactive Marketing. 2009, Vol. 23, Issue 2, pp. 130–137. </unparsedContent><order>4</order><doi>10.1016/j.intmar.2009.02.001</doi></reference><reference><unparsedContent>HEIMBACH, I.; KOSTYRA, D. S.; HINZ, O.: Marketing automation. Business &amp; Information Systems Engineering. 2015, Vol. 57, Issue 2, pp. 129–133. </unparsedContent><order>5</order><doi>10.1007/s12599-015-0370-8</doi></reference><reference><unparsedContent>BENHADDOU, Y.; LERAY, P.: Customer Relationship Management and Small Data — Application of Bayesian Network Elicitation Techniques for Building a Lead Scoring Model. In: 2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA). IEEE, 2017, pp. 251–255. </unparsedContent><order>6</order><doi>10.1109/AICCSA.2017.51</doi></reference><reference><unparsedContent>JÄRVINEN, J.; TAIMINEN, H.: Harnessing marketing automation for B2B content marketing. Industrial Marketing Management. 2016, Vol. 54, pp. 164–175. </unparsedContent><order>7</order><doi>10.1016/j.indmarman.2015.07.002</doi></reference><reference><unparsedContent>SUNDSØY, P. et al.: Big Data-Driven Marketing: How Machine Learning Outperforms Marketers’ Gut-Feeling. 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Available from WWW: https://www.marketingcharts.com/customer-centric/analytics-automated-and-martech81650</unparsedContent><order>29</order></reference></references></article><article externalId="ACC_21877"><type>ORIGINAL_ARTICLE</type><languageVersion externalId="en21877" language="en"><title>ON SAFEGUARDING ECONOMIC PERSPECTIVES OF REGIONAL ENTERPRISES IN THE TRINATIONAL NEISSE REGION</title><abstract>This article focuses on the economic development of especially small and medium-sized enterprises in the border triangle of Germany, Czech Republic and Poland. The motive for this article was primarily driven by the politically decided structural changes in the East German coal regions. While preparing this article, the authors found that this groundbreaking transformation resembles the unexpectedly occurring crisis originated by the corona virus in terms of analyzing, structuring measures and management principles. Organizations like economic development institutions located in the municipalities, networks or business initiatives and technology centers like the Bautzen-based Bautzen Innovation Center should play an important part in overcoming both challenges in its role as supporters of the regional economy and – for the innovation centers – host for new businesses.</abstract><pdfFileUrl>https://acc-ern.tul.cz/archiv/PDF/ACC_2020_2_06.pdf</pdfFileUrl><publicationDate>2020-09-30</publicationDate><pageFrom>70</pageFrom><pageTo>82</pageTo><doi>10.15240/tul/004/2020-2-006</doi><keywords><keyword>Regional economic structure</keyword><keyword>Future challenges</keyword><keyword>Economic perspective</keyword><keyword>Crisis management</keyword><keyword>Corona crisis</keyword></keywords></languageVersion><authors><author><name>Albrecht</name><surname>Löhr</surname><email>loehr@ba-bautzen.de</email><order>1</order><instituteAffiliation>Bautzen University of Cooperative Education, Faculty of Financial Management</instituteAffiliation><role>AUTHOR</role></author><author><name>Nataly</name><surname>Straßberger</surname><email>nataly.strassberger@web.de</email><order>2</order><instituteAffiliation>Bautzen University of Cooperative Education, Faculty of Financial Management</instituteAffiliation><role>AUTHOR</role></author></authors><references><reference><unparsedContent>STATISTISCHES LANDESAMT DES FREISTAATES SACHSEN: Statistischer Bericht: Standardarbeitsvolumen der Erwerbstätigen im Freistaat Sachsen nach Kreisen 2000 bis 2017. 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Available from WWW: https://www.deutschlandfunk.de/coronavirus-und-die-autoindustrie-nagelprobe-fuereine.2897.de.html?dram:article_id=473726</unparsedContent><order>22</order></reference></references></article><article externalId="ACC_21878"><type>ORIGINAL_ARTICLE</type><languageVersion externalId="en21878" language="en"><title>SUSTAINABLE TOURISM DEVELOPMENT – ANALYSIS OF TOURISM DEVELOPMENT IN KOSOVO</title><abstract>The purpose of this article is to provide a theoretical overview of sustainable tourism as a tourism system that focuses on qualitative development, taking into account the quality of life and prosperity of the population, without causing damage in other aspects.&#13;
The theoretical part deals with sustainable tourism and sustainable development. Based on these facts, it turns out that sustainable tourism is a subgroup of sustainable development. Thus, in this article there are given the differences between these two terms and other terms relevant to our research. It also provides an analysis of tourism development in Kosovo, including statistics on how much the tourism sector is financially supported by the Kosovo Government. Finally, a SWOT analysis of the current state of tourism in Kosovo is presented.</abstract><pdfFileUrl>https://acc-ern.tul.cz/archiv/PDF/ACC_2020_2_07.pdf</pdfFileUrl><publicationDate>2020-09-30</publicationDate><pageFrom>83</pageFrom><pageTo>92</pageTo><doi>10.15240/tul/004/2020-2-007</doi><keywords><keyword>Tourism</keyword><keyword>Sustainability</keyword><keyword>Sustainable tourism</keyword><keyword>Sustainable development</keyword></keywords></languageVersion><authors><author><name>Alberta</name><surname>Tahiri</surname><email>alberta.tahiri@ushaf.net</email><order>1</order><instituteAffiliation>University of Applied Sciences in Ferizaj, Faculty of Tourism and Environment, Department of Tourism and Hotel Management</instituteAffiliation><role>AUTHOR</role></author><author><name>Idriz</name><surname>Kovaçi</surname><email>idriz.kovaci@ushaf.net</email><order>2</order><instituteAffiliation>University of Applied Sciences in Ferizaj, Faculty of Tourism and Environment, Department of Tourism and Hotel Management</instituteAffiliation><role>AUTHOR</role></author><author><name>Fari</name><surname>Bushi</surname><email>fari.bushi@ushaf.net</email><order>3</order><instituteAffiliation>University of Applied Sciences in Ferizaj, Faculty of Tourism and Environment, Department of Tourism and Hotel Management</instituteAffiliation><role>AUTHOR</role></author></authors><references><reference><unparsedContent>TAHIRI, A.; KOVAÇI, I.: Management in Tourism, Theoretical Managerial Approach. 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The financial performance of member business entities was assessed using the following indicators: ROA, ROE, ROS, EVA, EVA/employee and EVA/sales. The aim of the research was to demonstrate whether public support for clusters would be reflected in member entities’ better financial performance. The final part of the paper then summarises and discusses the findings.</abstract><pdfFileUrl>https://acc-ern.tul.cz/archiv/PDF/ACC_2020_2_08.pdf</pdfFileUrl><publicationDate>2020-09-30</publicationDate><pageFrom>94</pageFrom><pageTo>100</pageTo><doi>10.15240/tul/004/2020-2-008</doi><keywords><keyword>Cluster</keyword><keyword>Financial performance</keyword><keyword>Cluster organization</keyword><keyword>Top-down</keyword><keyword>Bottom up</keyword><keyword>Economic value added.</keyword></keywords></languageVersion><authors><author><name>Natalie</name><surname>Pelloneová</surname><email>natalie.pelloneova@tul.cz</email><order>1</order><instituteAffiliation>Technical University of Liberec, Faculty of Economics, Department of Business Administration and Management</instituteAffiliation><role>AUTHOR</role></author></authors><references><reference><unparsedContent>PELLONEOVÁ, N.: Řízení výkonnosti klastrů. Liberec, 2020. Doctoral thesis (Ph.D.). 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