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<ici-import><journal issn="1803-9790"/><issue number="B" volume="27" year="2021" publicationDate="2021-12-31" coverDate="2/2021" coverUrl="https://acc-ern.tul.cz/archiv/LABEL/ACC_Journal_2021_2.jpg" numberOfArticles="10"><article externalId="ACC_21887"><type>ORIGINAL_ARTICLE</type><languageVersion externalId="en21887" language="en"><title>INNOVATION PERFORMANCE OF CZECH AND FINNISH MANUFACTURING ENTERPRISES AND THEIR POSITION IN THE EU</title><abstract>The aim of this article is to assess the innovation performance of innovative small, medium-sized, and large enterprises operating in the manufacturing industry in two European countries – the Czech Republic (CR) and Finland, and to determine their position within the EU based on a comparison with average values of created Fictitious EU Country (FEUC). The FEUC includes the indicators and population of the EU member countries whose data were available. The performed analysis is based on the use of selected key performance indicators (related mainly to inputs that are expected to contribute to innovations) evaluating the enterprises´ innovation performance. The conducted research tries to identify the most significant drivers of innovation performance with regard to the size group of enterprises. Moreover, the achieved results are further compared within the innovation environment of the CR and Finland as well as the EU as a whole. It is worth highlighting the innovation resources of Finnish mainly small but partly also medium-sized enterprises, which in some monitored indicators occupy a much more significant share than in the case of the CR. This fact can indicate a particular signal, which size group of enterprises should become a target group of public support aiming to boost innovation performance.</abstract><pdfFileUrl>https://acc-ern.tul.cz/archiv/PDF/ACC_2021_2_01.pdf</pdfFileUrl><publicationDate>2021-12-31</publicationDate><pageFrom>7</pageFrom><pageTo>21</pageTo><doi>10.15240/tul/004/2021-2-001</doi><keywords><keyword>Innovation</keyword><keyword>Innovation performance</keyword><keyword>Manufacturing industry</keyword><keyword>Czech Republic</keyword><keyword>Finland</keyword><keyword>EU</keyword></keywords></languageVersion><authors><author><name>Petr</name><surname>Blaschke</surname><email>petr.blaschke@tul.cz</email><order>1</order><instituteAffiliation>Technical University of Liberec, Faculty of Economics, Department of Marketing and Trade</instituteAffiliation><role>AUTHOR</role></author><author><name>Jaroslav</name><surname>Demel</surname><email>jaroslav.demel@tul.cz</email><order>2</order><instituteAffiliation>Technical University of Liberec, Faculty of Economics, Department of Marketing and Trade</instituteAffiliation><role>AUTHOR</role></author><author><name>Iouri</name><surname>Kotorov</surname><email>iouri.kotorov@karelia.fi</email><order>3</order><instituteAffiliation> Karelia University of Applied Sciences, Department of International Business</instituteAffiliation><role>AUTHOR</role></author></authors><references><reference><unparsedContent>FELDMAN, M.: The Significance of Innovation. 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European Journal of Operational Research. 2016, Vol. 249, Issue 3, pp. 1161–1168. </unparsedContent><order>35</order><doi>10.1016/j.ejor.2015.09.032</doi></reference><reference><unparsedContent>EUROSTAT: EU population up to nearly 513 million on 1 January 2018. 2018. [accessed 2021-10-15]. Available from WWW: https://ec.europa.eu/eurostat/documents/2995521/9063738/3-10072018-BPEN.pdf/ccdfc838-d909-4fd8-b3f9-db0d65ea457f</unparsedContent><order>36</order></reference></references></article><article externalId="ACC_21888"><type>ORIGINAL_ARTICLE</type><languageVersion externalId="en21888" language="en"><title>COMPARISON OF WAGES IN ICT BY MAJOR CATEGORIES, THEIR RELATIONS TO GDP AND THE DIFFERENCES BETWEEN SALARIES OF MEN AND WOMEN</title><abstract>The article examines wages in the field of information and communication technologies (ICT). Based on the so-called ISPV data (adjusted for inflation), CZSO and Eurostat data, several analyses were performed. The main conclusions are: (1) The number of ICT workers grew faster, their share in total employment increased from 2.2% to 3.9%. (2) From 2008 to 2013, the overall trend in wages is declining and they have been growing significantly since 2014 (influenced by both economic growth and falling inflation). (3) Wages of ICT specialists (CZ ISCO 25) grew considerably faster than those of ICT technicians (CZ ISCO 35). 4) Wages for the entire ICT and for the CZ-ISCO 25 category grew faster than GDP. (5) The gender pay gap in the Czech Republic is among the highest among the countries surveyed, although in 2019 it decreased compared to 2008. (6) Within the Czech Republic, the differences between the salaries of men and women in ICT are smaller than for the entire economy.</abstract><pdfFileUrl>https://acc-ern.tul.cz/archiv/PDF/ACC_2021_2_02.pdf</pdfFileUrl><publicationDate>2021-12-31</publicationDate><pageFrom>22</pageFrom><pageTo>34</pageTo><doi>10.15240/tul/004/2021-2-002</doi><keywords><keyword>ICT</keyword><keyword>ICT wages</keyword><keyword>Wages – GDP ratio</keyword><keyword>ICT specialists</keyword><keyword>ICT technicians</keyword><keyword>Gender pay gap</keyword></keywords></languageVersion><authors><author><name>Lucie</name><surname>Böhmová</surname><email>lucie.bohmova@vse.cz</email><order>1</order><instituteAffiliation>Prague University of Economics and Business, Faculty of Informatics and Statistics, Department of Systems Analysis</instituteAffiliation><role>AUTHOR</role></author><author><name>PetrLadislav</name><surname>Doucek</surname><email>doucek@vse.cz</email><order>2</order><instituteAffiliation>Prague University of Economics and Business, Faculty of Informatics and Statistics, Department of Systems Analysis</instituteAffiliation><role>AUTHOR</role></author><author><name>Ladislav</name><surname>Luc</surname><email>ladislav.luc@vse.cz</email><order>3</order><instituteAffiliation>Prague University of Economics and Business, Faculty of Informatics and Statistics, Department of Systems Analysis</instituteAffiliation><role>AUTHOR</role></author><author><name>Lea</name><surname>Nedomová</surname><email>nedomova@vse.cz</email><order>4</order><instituteAffiliation>Prague University of Economics and Business, Faculty of Informatics and Statistics, Department of Systems Analysis</instituteAffiliation><role>AUTHOR</role></author><author><name>Richard Antonín</name><surname>Novák</surname><email>richard.novak@vse.cz</email><order>5</order><instituteAffiliation>Prague University of Economics and Business, Faculty of Informatics and Statistics, Department of Systems Analysis</instituteAffiliation><role>AUTHOR</role></author><author><name>Věra</name><surname>Radváková</surname><email>vera.radvakova@vse.cz</email><order>6</order><instituteAffiliation>Prague University of Economics and Business, Faculty of Informatics and Statistics, Department of Systems Analysis</instituteAffiliation><role>AUTHOR</role></author><author><name>Jiří</name><surname>Sedláček</surname><email>sedlacek@vse.cz</email><order>7</order><instituteAffiliation>Prague University of Economics and Business, Faculty of Informatics and Statistics, Department of Systems Analysis</instituteAffiliation><role>AUTHOR</role></author><author><name>Jana</name><surname>Syrovátková</surname><email>jana.syrovatkova@vse.cz</email><order>8</order><instituteAffiliation>Prague University of Economics and Business, Faculty of Informatics and Statistics, Department of Systems Analysis</instituteAffiliation><role>AUTHOR</role></author><author><name>Majid Ziaei</name><surname>Nafchi</surname><email>majid.nafchi@vse.cz</email><order>9</order><instituteAffiliation>Prague University of Economics and Business, Faculty of Informatics and Statistics, Department of Systems Analysis</instituteAffiliation><role>AUTHOR</role></author></authors><references><reference><unparsedContent>HANCLOVA, J.; DOUCEK, P.; FISCHER, J.; VLTAVSKA, K.: Does ICT capital affect economic growth in the EU-15 and EU-12 countries? 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This article aims to compare these findings with reality by employing a focus group discussion with professionals and point out the opportunities and challenges that the companies implementing these trends are faced with. The results show that the findings correspond with academic literature.</abstract><pdfFileUrl>https://acc-ern.tul.cz/archiv/PDF/ACC_2021_2_03.pdf</pdfFileUrl><publicationDate>2021-12-31</publicationDate><pageFrom>35</pageFrom><pageTo>43</pageTo><doi>10.15240/tul/004/2021-2-003</doi><keywords><keyword>Customer service</keyword><keyword>Virtual assistant</keyword><keyword>Personalization</keyword><keyword>Mobile technologies</keyword><keyword>Opinion mining</keyword></keywords></languageVersion><authors><author><name>Michal</name><surname>Dostál</surname><email>michal.dostal1@tul.cz</email><order>1</order><instituteAffiliation>Technical University of Liberec, Faculty of Economics, Department of Informatics</instituteAffiliation><role>AUTHOR</role></author></authors><references><reference><unparsedContent>GNEWUCH, U.; MORANA S.; MAEDCHE A.: Towards Designing Cooperative and Social Conversational Agents for Customer Service. 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Available from WWW: http://arxiv.org/abs/1807.04606</unparsedContent><order>4</order></reference><reference><unparsedContent>TULSHAN, A.; DHAGE, N.: Survey on Virtual Assistant: Google Assistant, Siri, Cortana, Alexa. In: Thampi S.; Marques O.; Krishnan S.; Li K.; Ciuonzo D.; Kolekar M. (eds.), Advances in Signal Processing and Intelligent Recognition Systems. Singapore: Springer Singapore, 2019, pp. 190–201. ISBN 9789811357572.</unparsedContent><order>5</order><doi>10.1007/978-981-13-5758-9_17</doi></reference><reference><unparsedContent>EQUITY: Chatbot Report 2018: Global Trends and Analysis. [online]. 2018. Available from WWW: https://chatbotsmagazine.com/chatbot-report-2018-global-trends-andanalysis-4d8bbe4d924b</unparsedContent><order>6</order></reference><reference><unparsedContent>CHADHA, T.: 50+ Vital Chatbot Statistics for 2021 to Know Post Pandemic. [online]. 2021. Available from WWW: https://outgrow.co/blog/vital-chatbot-statistics/</unparsedContent><order>7</order></reference><reference><unparsedContent>MORGAN, B.: 50 Stats Showing The Power Of Personalization. [online]. Available from WWW: https://www.forbes.com/sites/blakemorgan/2020/02/18/50-stats-showingthe-power-of-personalization/</unparsedContent><order>8</order></reference><reference><unparsedContent>BANYTE, J.; GADEIKIENE, A.; RUTELIONE, A.; KAKNEVICIENE, I.: Expression of Personalization while Developing Long-Term Relationships with Service Customers. Engineering Economics. 2016, Vol. 27, Issue 4, pp. 462–471. ISSN 2029-5839</unparsedContent><order>9</order><doi>10.5755/j01.ee.27.4.14159</doi></reference><reference><unparsedContent>OCHOCKA, J.; Mobile Technologies in Logistic Customer Service as a Tool for Winning Customers’ Satisfaction. Logforum. 2019, Vol. 15, Issue 3, pp. 403–411. ISSN 18952038, 1734459X.</unparsedContent><order>10</order><doi>10.17270/J.LOG.2019.338</doi></reference><reference><unparsedContent>STATISTA: Secure locations for QR code scanning in the US and UK 2020. [online]. 2021. Available from WWW: https://www.statista.com/statistics/199325/qr-codescanners-by-gender/</unparsedContent><order>11</order></reference><reference><unparsedContent>LI, P.; YAN, Y.; WANG, Ch.; REN, Z.; CONG, P.; WANG, H.; FENG, J.: Customer voice sensor: A comprehensive opinion mining system for call center conversation. In: Proceedings of 2016 IEEE International Conference on Cloud Computing and Big Data Analysis, ICCCBDA 2016, 2016, pp. 324–329. ISSN 9781509025930.</unparsedContent><order>12</order><doi>10.1109/ICCCBDA.2016.7529578</doi></reference><reference><unparsedContent>PAPPAS, D., ANDROUTSOPOULOS, I.; PAPAGEORGIOU, H.: Anger detection in call center dialogues. In: 2015 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom), 2015, pp. 139–144. </unparsedContent><order>13</order><doi>10.1109/CogInfoCom.2015.7390579</doi></reference></references></article><article externalId="ACC_21890"><type>ORIGINAL_ARTICLE</type><languageVersion externalId="en21890" language="en"><title>FINANCIAL IMPACT OF MENTAL ILLNESS AND HOW TO MEASURE THE CONSEQUENCES</title><abstract>This article shows the economic impact of mental illness, as well as various cost-estimating approaches. To assess the burden of mental diseases, there are three different ways: the human capital, the economic growth and the value of statistical life approach. The first focuses on indirect and direct costs. Moreover, the effect of mental illness on economic development can only be approximated implicitly. Thus, the lack of production is primary estimated for somatic conditions compared to their corresponding quantity of disability-adjusted life years (DALYs). The total economic productivity drop associated with mental illnesses between 2011 and 2030 is rated to be US$16.3 trillion globally. Furthermore, the value of statistical life (VSL) method suggests that trade-offs between risks and capital should be used to assess the probability of injury or death due to psychiatric illness. This computation is equivalent to that of cardiovascular disease and bigger than that of cancer. However, greater activism is required to better the existing condition.</abstract><pdfFileUrl>https://acc-ern.tul.cz/archiv/PDF/ACC_2021_2_04.pdf</pdfFileUrl><publicationDate>2021-12-31</publicationDate><pageFrom>44</pageFrom><pageTo>55</pageTo><doi>10.15240/tul/004/2021-2-004</doi><keywords><keyword>Economic costs</keyword><keyword>Economic growth</keyword><keyword>Human capital</keyword><keyword>Mental illness</keyword><keyword>Value of statistical life</keyword></keywords></languageVersion><authors><author><name>Benedikt</name><surname>Frank</surname><email>37216@mail.vsfs.cz</email><order>1</order><instituteAffiliation>Vysoká škola finanční a správní – University of Finance and Administration</instituteAffiliation><role>AUTHOR</role></author></authors><references><reference><unparsedContent>STALKER, C.; HARVEY, C.: Professional burnout: A review of theory, research, and prevention. 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M.: Individual and Societal Effects of Mental Disorders on Earnings in the United States: Results From the National Comorbidity Survey Replication. The American Journal of Psychiatry. 2008, Vol. 165, Issue 6, pp. 703–711.</unparsedContent><order>23</order><doi>10.1176/appi.ajp.2008.08010126</doi></reference><reference><unparsedContent>HARWOOD, H.; AMEEN, A.; DENMEAD, G.; ENGLERT, E.; FOUNTAIN, D.; LIVERMORE, G.: The Economic Cost of Mental Illness. National Institute of Mental Health, Rockville, Maryland, 1992.</unparsedContent><order>24</order></reference><reference><unparsedContent>LUND, C.; MYER, L.; STEIN, D. J.; WILLIAMS, D. R.; FLISHER, A. J.: Mental illness and lost income among adult South Africans. Social Psychiatry and Psychiatric Epidemiology. 2013, Vol. 48, Issue 5, pp. 845–851.</unparsedContent><order>25</order><doi>10.1007/s00127-012-0587-5</doi></reference><reference><unparsedContent>CHISHOLM, D.; JOHANSSON, K. A.; RAYKAR, N.; MEGIDDO, I.; NIGAM, A.; STRAND, K. B.; COLSON, A.; FEKADU, A.; VERGUET, S.: Universal Health Coverage for Mental, Neurological, and Substance Use Disorders: An Extended CostEffectiveness Analysis. In: Patel, V.; Chisholm, D.; Dua, T.; Laxminarayan, R.; Medina-Mora M. E. (eds.), Mental, neurological, and substance use disorders. The World Bank, Washington, DC, 2016.</unparsedContent><order>26</order><doi>10.1596/978-1-4648-0426-7_ch13</doi></reference><reference><unparsedContent>SCHOMERUS, G.; MATSCHINGER, H.; ANGERMEYER, M. C.: Alcoholism: Illness beliefs and resource allocation preferences of the public. Drug and Alcohol Dependence. 2006, Vol. 82, Issue 3, pp. 204–210.</unparsedContent><order>27</order><doi>10.1016/j.drugalcdep.2005.09.008</doi></reference><reference><unparsedContent>HARO, J. M.; AYUSO-MATEOS, J. L.; BITTER, I.; DEMOTES-MAINARD, J.; LEBOYER, M.; LEWIS, S. W.; LINSZEN, D.; MAJ, M.; McDAID, D.; MEYERLINDENBERG, A. et al.: ROAMER: roadmap for mental health research in Europe. International Journal of Methods in Psychiatric Research. 2014, Vol. 23, pp. 1–14</unparsedContent><order>28</order><doi>10.1002/mpr.1406</doi></reference></references></article><article externalId="ACC_21891"><type>ORIGINAL_ARTICLE</type><languageVersion externalId="en21891" language="en"><title>HOW ISO QUALITY MANAGEMENT STANDARDS CHANGE THE COMPANY LEVEL OF EXCELLENCE? STUDY CONDUCTED ON TWO COMPANIES OF POLISH DNA SEQUENCING INDUSTRY USING THE BUSINESS IMPROVEMENT MATRIX</title><abstract>This study examines the level of excellence of two companies, using Business Improvement Matrix (BIM), which is based on European Foundation of Quality Management’s Model of Excellence. It compares those organizations and shows how their quality management systems make an effect on BIM results. The researched companies are genXone S.A., which is in the process of implementing a quality management system compliant with ISO 13485: 2016, and Centrum Genetyki Medycznej GENESIS Sp. z o.o., certified with ISO 9001: 2015 since 2018. Both of them belong to sequencing industry in Poland, using new generation sequencing. This study shows that the company that has implemented its quality management system and has fully adopted its standards achieved a higher level of excellence than the company that just started the process of implementation of their quality management system.</abstract><pdfFileUrl>https://acc-ern.tul.cz/archiv/PDF/ACC_2021_2_05.pdf</pdfFileUrl><publicationDate>2021-12-31</publicationDate><pageFrom>56</pageFrom><pageTo>62</pageTo><doi>10.15240/tul/004/2021-2-005</doi><keywords><keyword>Business improvement matrix</keyword><keyword>Quality management</keyword><keyword>Continuous improvement</keyword><keyword>Level of excellence</keyword></keywords></languageVersion><authors><author><name>Maja</name><surname>Kaszuba</surname><email>majakaszuba@hotmail.com</email><order>1</order><instituteAffiliation>Poznań University of Economics and Business, Institute of Quality Science</instituteAffiliation><role>AUTHOR</role></author></authors><references><reference><unparsedContent>KĄDZIOŁKA MARTYNIAK, E.: Nowoczesne metody zarządzania produkcją. Wydział Zarządzania Akademii Górniczo-Hutniczej im. St. Staszica w Krakowie, Kraków, 1996. ISBN 8390238497.</unparsedContent><order>1</order></reference><reference><unparsedContent>FONSECA, L. M.: Relationship Between ISO 9001 Certification Maturity and EFQM Business Excellence Model Results. Quality Innovation Prosperity / Kvalita Inovácia Prosperita. 2015, Vol. 19, Issue 1.</unparsedContent><order>2</order><doi>10.12776/QIP.V19I1.556</doi></reference><reference><unparsedContent>RODRÍGUEZ-MANTILLA, J. M.; MARTÍNEZ-ZARZUELO, A.; FERNÁNDEZCRUZ, F. J.: Do ISO:9001 standards and EFQM model differ in their impact on the external relations and communication system at schools? Evaluation and Program Planning. Vol. 80, 2020. ISSN 0149-7189. </unparsedContent><order>3</order><doi>10.1016/j.evalprogplan.2020.101816</doi></reference><reference><unparsedContent>Van NEDERPELT, P.: ISO-9000s Definition of Quality. [online] 14 February 2013. [accessed: 14 June 2021]. Available from WWW: https://oqrmmodel.wordpress.com/2013/02/14/iso-9000s-definition-of-quality/</unparsedContent><order>4</order></reference><reference><unparsedContent>BARONE, A.: ISO 9000’s definition of quality [online]. Updated 28 July 2020. [accessed: 14 June 2021]. Available from WWW: https://www.investopedia.com/terms/q/quality-management.asp</unparsedContent><order>5</order></reference><reference><unparsedContent>ASQ: What Is a Quality Management System (QMS)? [accessed: 14 June 2021]. Available from WWW: https://asq.org/quality-resources/quality-management-system</unparsedContent><order>6</order></reference><reference><unparsedContent>ISO: ISO 13485:2016. [online]. [accessed 2021-08-30]. Available from WWW: https://www.iso.org/obp/ui#iso:std:iso:13485:ed-3:v1:en</unparsedContent><order>7</order></reference><reference><unparsedContent>EFQM: European Foundation for Quality Management. [online]. [accessed 2021-08- 30]. Available from WWW: https://www.efqm.org/</unparsedContent><order>8</order></reference></references></article><article externalId="ACC_21892"><type>ORIGINAL_ARTICLE</type><languageVersion externalId="en21892" language="en"><title>TIME ALLOCATION AND FEELINGS OF HAPPINESS OF SELF-EMPLOYED PERSONS – A GENDERED PERSPECTIVE</title><abstract>This article focuses on the division of the daily activities of self-employed persons on entrepreneurial activities, unpaid work, leisure time and other activities, and their interconnection to the feelings of happiness (as part of subjective well-being). Modified Time Use Survey (TUS) methodology was used to gather data on division of time and to identify SWB. The 13 groups of activities and 161 self-employed persons were included in the analysis. The results suggest that both self-employed men and women dedicate more than 8 hours per day for paid work. Daily activities during which the highest part of self-employed men and women feel the happiest belong to leisure activities. Unpaid work activities bring the highest feeling of happiness to 12.5 % of self-employed women. Feelings of happiness of self-employed women are more fluctuating during the paid work than feelings of happiness of self-employed men. In the evening, the feelings of happiness of the self-employed women decrease significantly, which could be caused by double burden of self-employed women.</abstract><pdfFileUrl>https://acc-ern.tul.cz/archiv/PDF/ACC_2021_2_06.pdf</pdfFileUrl><publicationDate>2021-12-31</publicationDate><pageFrom>63</pageFrom><pageTo>72</pageTo><doi>10.15240/tul/004/2021-2-006</doi><keywords><keyword>Self-employed persons</keyword><keyword>Gender</keyword><keyword>Subjective well-being</keyword><keyword>Time allocation</keyword><keyword>Entrepreneurship</keyword><keyword>Daily activities</keyword></keywords></languageVersion><authors><author><name>Miroslava</name><surname>Knapková</surname><email>miroslava.knapkova@umb.sk</email><order>1</order><instituteAffiliation>Matej Bel University, Faculty of Economics, Department of Economics</instituteAffiliation><role>AUTHOR</role></author><author><name>Miriam</name><surname>Martinkovičová</surname><email>miriam.martinkovicova@umb.sk</email><order>2</order><instituteAffiliation>Matej Bel University, Faculty of Economics, Department of Economics</instituteAffiliation><role>AUTHOR</role></author><author><name>Alena</name><surname>Kaščáková</surname><email>alena.kascakova@umb.sk</email><order>3</order><instituteAffiliation>Matej Bel University, Faculty of Economics, Department of Quantitative Methods and Information Systems</instituteAffiliation><role>AUTHOR</role></author></authors><references><reference><unparsedContent>FREY, B. 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E-commerce live streaming is one of the most essential types of online live streaming. In this article, it is defined as the live streaming of the e-commerce platform used by Key Opinion Leaders or product sellers through the built-in live streaming function of the platform to propagate goods, brands, events, etc. to achieve goals of brand exposure and product sales. Compared with the traditional economic model, the combined model of e-commerce and live streaming has its advantages and characteristics. This kind of marketing tool is now prevalent. However, there are many deficiencies in e-commerce live streaming that need to be improved since the development of e-commerce is immature and supervision of Internet use is ongoing.</abstract><pdfFileUrl>https://acc-ern.tul.cz/archiv/PDF/ACC_2021_2_07.pdf</pdfFileUrl><publicationDate>2021-12-31</publicationDate><pageFrom>73</pageFrom><pageTo>89</pageTo><doi>10.15240/tul/004/2021-2-007</doi><keywords><keyword>Consumer behavior</keyword><keyword>Digital and social media</keyword><keyword>E-commerce live streaming</keyword><keyword>New media marketing</keyword></keywords></languageVersion><authors><author><name>Yang</name><surname>Lu</surname><email>yang.lu@fs-students.de</email><order>1</order><instituteAffiliation>Frankfurt School of Finance and Management, BSc Business Administration Class 2021</instituteAffiliation><role>AUTHOR</role></author><author><name>Patrick</name><surname>Siegfried</surname><email>patrick.siegfried@ism.de</email><order>2</order><instituteAffiliation>International School of Management (ISM), Department of International Logistics and Supply Chain Management</instituteAffiliation><role>AUTHOR</role></author></authors><references><reference><unparsedContent>CHINA INTERNET NETWORK INFORMATION CENTER (CNNIC): The 45th Statistical Report on Internet Development in China. 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Available from WWW: https://www.sohu.com/a/395305748_121339</unparsedContent><order>20</order></reference></references></article><article externalId="ACC_21894"><type>ORIGINAL_ARTICLE</type><languageVersion externalId="en21894" language="en"><title>NEW CHALLENGES IN INCOTERMS IN THE BACKGROUND OF THEIR HISTORICAL DEVELOPMENT</title><abstract>INCOTERMS conditions are internationally recognized delivery clauses. Their advantage is comprehensibility and uniform interpretation by the contracting parties, as well as easy incorporation into the contract. An undeniable advantage is the regular update. The individual updates reflect trends in international business practice and therefore clarify or repeal existing clauses or introduce new ones as needed. The aim of the article is to evaluate the development of the INCOTERMS clauses on their historical development and their impact on international commercial law relations, and through this to outline possible future developments. The authors also consider whether, given the rapid technological progress, the current ten-year cycle of revision of the INCOTERMS clauses is appropriate or whether it is too long. Among the new trends, the authors point to new types of transport, especially unmanned drones, and the continuing trend of a transparent and secure logistics chain.</abstract><pdfFileUrl>https://acc-ern.tul.cz/archiv/PDF/ACC_2021_2_08.pdf</pdfFileUrl><publicationDate>2021-12-31</publicationDate><pageFrom>90</pageFrom><pageTo>101</pageTo><doi>10.15240/tul/004/2021-2-008</doi><keywords><keyword>Autonomous transport</keyword><keyword>Blockchain</keyword><keyword>Drones</keyword><keyword>Incoterms</keyword><keyword>International trade</keyword><keyword>Technology</keyword></keywords></languageVersion><authors><author><name>Michaela</name><surname>Petrová</surname><email>michaela.petrova@vsb.cz</email><order>1</order><instituteAffiliation>VŠB – Technical University of Ostrava, Faculty of Economics, Department of Law</instituteAffiliation><role>AUTHOR</role></author><author><name>Martina</name><surname>Krügerová</surname><email>martina.krugerova@vsb.cz</email><order>2</order><instituteAffiliation>VŠB – Technical University of Ostrava, Faculty of Economics, Department of Law</instituteAffiliation><role>AUTHOR</role></author><author><name>Michal</name><surname>Kozieł</surname><email>michal.koziel@vsb.cz</email><order>3</order><instituteAffiliation>VŠB – Technical University of Ostrava, Faculty of Economics, Department of Law</instituteAffiliation><role>AUTHOR</role></author></authors><references><reference><unparsedContent>ICC: Free Incoterms® 2020 introduction. 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Professional Czech football clubs playing in the Czech football competition Fortuna:Liga were selected for empirical analysis. To analyze the relative efficiency of football clubs, BCC and CCR models were employed. The study was conducted on a sample of 20 clubs through 2 inputs and 1 output collected during the 2015/16 – 2019/20 seasons. For some clubs the values of the Malmquist index were calculated. With help of MI it was possible to quantify the total productivity change factor and to decompose it to technological change and technical efficiency change. The results show that Czech football clubs achieved a relatively high level of efficiency in the period monitored and that traditional clubs achieved the highest efficiency score. 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The Moravian Karst (CHKO) is an example of a preserved landscape area that managed to combine environmental protection and tourism. Visits to caves prevail; however, visitors do not limit their activities to this type of tourist attraction. They also visit other natural as well as cultural sights. Most municipalities think that the existence of the Moravian Karst CHKO positively influences the development of tourism. They appreciate new jobs and the inflow of finance from the regional budget.</abstract><pdfFileUrl>https://acc-ern.tul.cz/archiv/PDF/ACC_2021_2_10.pdf</pdfFileUrl><publicationDate>2021-12-31</publicationDate><pageFrom>113</pageFrom><pageTo>120</pageTo><doi>10.15240/tul/004/2021-2-010</doi><keywords><keyword>Protected landscape area</keyword><keyword>Sustainable tourism</keyword><keyword>Moravian Karst</keyword><keyword>Visitor</keyword><keyword>Resident</keyword></keywords></languageVersion><authors><author><name>Jiří</name><surname>Vaníček</surname><email>jiri.vanicek@vse.cz</email><order>1</order><instituteAffiliation>Prague University of Economics and Business, Faculty of International Relations, Department of Tourism</instituteAffiliation><role>AUTHOR</role></author></authors><references><reference><unparsedContent>ANDERECK, K. L.; VALENTINE, K. M.; KNOPF, R. C.; VOGT, Ch. A.: Residents’ Perceptions of Community Tourism Impacts. 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