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<ici-import><journal issn="1803-9790"/><issue number="B" volume="28" year="2022" publicationDate="2022-09-30" coverDate="2/2022" coverUrl="https://acc-ern.tul.cz/archiv/LABEL/ACC_Journal_2022_2.jpg" numberOfArticles="9"><article externalId="ACC_21914"><type>ORIGINAL_ARTICLE</type><languageVersion externalId="en21914" language="en"><title>OVERALL LABOR EFFECTIVENESS AS A TOOL FOR MEASURING PERFORMANCE IN A GIVEN COMPANY</title><abstract>To remain competitive, a company needs to increase the productivity of its production&#13;
equipment, which can be monitored using the Overall Equipment Effectiveness indicator. The&#13;
article aims to describe the modification of the Overall Equipment Effectiveness indicator into&#13;
the indicator of Overall Labor Effectiveness in a given company. The advantage of this&#13;
indicator is that it monitors not only the use of the employee's labor pool but also the actual&#13;
costs spent on the product. In addition to that, the impact of the introduction of this indicator&#13;
on the economic performance of a given company is analyzed. To do so, four periods before&#13;
and four periods after the introduction of the Overall Labor Effectiveness indicator were&#13;
analyzed using four selected financial ratios. The value of the Overall Labor Effectiveness&#13;
indicator is currently in the range of excellent values, i.e. the firm uses production time very&#13;
efficiently. The results of the analyzed financial ratios show that the introduction of the&#13;
Overall Labor Effectiveness indicator increased the performance of the given company.</abstract><pdfFileUrl>https://acc-ern.tul.cz/archiv/PDF/ACC_2022_2_01.pdf</pdfFileUrl><publicationDate>2022-09-30</publicationDate><pageFrom>7</pageFrom><pageTo>18</pageTo><doi>10.15240/tul/004/2022-2-001</doi><keywords><keyword>Competitiveness</keyword><keyword>Financial ratios</keyword><keyword>Losses</keyword><keyword>Productivity</keyword><keyword>Performance indicator</keyword></keywords></languageVersion><authors><author><name>Zdeněk</name><surname>Brabec</surname><email>zdenek.brabec@tul.cz</email><order>1</order><instituteAffiliation>Technical University of Liberec, Faculty of Economics, Department of Finance and Accounting</instituteAffiliation><role>AUTHOR</role></author><author><name>Helena</name><surname>Jáčová</surname><email>helena.jacova@tul.cz</email><order>2</order><instituteAffiliation>Technical University of Liberec, Faculty of Economics, Department of Finance and Accounting</instituteAffiliation><role>AUTHOR</role></author></authors><references><reference><unparsedContent>BRAGLIA, M.; CASTELLANO, D.; FROSOLINI, M.; GALLO, M.; MARRAZZINI, L.: Revised overall labour effectiveness. 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In the case of discounted payback period (DPP), it concerns uncertain capital expenditures, positive cash flows, and discount rates. To resolve this problem the intervals of possible values instead of uncertain point values should be regarded. This idea is projected in defining the significant points of the input parameters for the DPP calculation from which the significant points of the fuzzy payback period (FPP) in the sense of triangular fuzzy numbers (TFN) are derived. For the TFN ranking, the weighted method is used. The FPP numerical formula thus becomes flexible in terms of the possibility of expressing faith in the incidence rate of the input data. The existing literature omits to regard negative weights for positive and/or negative cash flows in the FPP calculation. 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J.: Capitalization versus Expensing: Evidence on the Uncertainty of Future Earnings from Capital Expenditures versus R&amp;D Outlays. Review of Accounting Studies. 2002, Vol. 7, pp. 355–382. ISSN 1380-6653.</unparsedContent><order>39</order><doi>10.1023/A:1020764227390</doi></reference></references></article><article externalId="ACC_21916"><type>ORIGINAL_ARTICLE</type><languageVersion externalId="en21916" language="en"><title>NEW APPROACHES TO THE APPLICATION OF BUSINESS INTELLIGENCE IN THE STRATEGIC MANAGEMENT PROCESS</title><abstract>This article aims to find the optimal links and ways to use the outputs of business intelligence in strategic company management effectively. A total of 41 tools supporting individual phases of the strategic decision-making process were selected within the literature search. They were divided into six successive stages: mission and vision determination, environment analysis, setting long-term goals, strategy formulation, implementation, and, finally, monitoring. The particular techniques were subsequently assigned to the utilization rate of business intelligence within their application. The resulting model connects the outcomes obtained from the evaluation with the scheme of the strategic planning process inspired by literary review. The most appropriate application of business intelligence takes place in the phases dealing with analyzing the company situation, such as environmental analysis and strategy monitoring. According to the obtained results, the involvement of business intelligence outputs should not be overlooked even in the stages devoted to setting long-term goals and formulating strategy.</abstract><pdfFileUrl>https://acc-ern.tul.cz/archiv/PDF/ACC_2022_2_03.pdf</pdfFileUrl><publicationDate>2022-09-30</publicationDate><pageFrom>33</pageFrom><pageTo>43</pageTo><doi>10.15240/tul/004/2022-2-003</doi><keywords><keyword>Business intelligence</keyword><keyword>Strategic management</keyword><keyword>Strategy</keyword><keyword>Strategic planning process</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>ROTHAERMEL, F. T.: Strategic Management Concepts and Cases. 1st ed. McGraw-Hill Education, New York, NY, 2012. ISBN-10 0078112737. ISBN-13 978-0078112737.</unparsedContent><order>1</order></reference><reference><unparsedContent>THOMPSON, J.; MARTIN, F.: Strategic Management: Awareness &amp; Change. 6th ed. South-Western Cengage Learning, Andover, 2010. ISBN-10 1408018071. ISBN-13 978-1408018071.</unparsedContent><order>2</order></reference><reference><unparsedContent>DAVID, F. R.: Strategic Management: Concepts and Cases. 12th ed. Pearson College Div., Upper Saddle River, N. J., 2008. ISBN-10 0136015700. ISBN-13 978-0136015703.</unparsedContent><order>3</order></reference><reference><unparsedContent>AYGÜN, S.; SEZGİN, O.: The Methods and Tools Used by Managers in their Strategic Decision Making Processes. Journal of Strategic and Social Researches. 2021, Vol. 5, Issue 2.</unparsedContent><order>4</order><doi>10.30692/sisad.914978</doi></reference><reference><unparsedContent>ASARE, A. O.; ADDO, P. C.; SARPONG, E. O.; KOTEI, D.: COVID-19: Optimizing Business Performance through Agile Business Intelligence and Data Analytics. Open Journal of Business and Management. 2020, Vol. 8, Issue 5.</unparsedContent><order>5</order><doi>10.4236/ojbm.2020.85126</doi></reference><reference><unparsedContent>SHAPOURI, F.; NAJJAR, L: Critical Success Factors in Implementing Business Intelligence Systems. In: AMCIS 2020 Proceedings. 2020, Available from WWW: https://aisel.aisnet.org/amcis2020/org_transformation_is/org_transformation_is/11</unparsedContent><order>6</order></reference><reference><unparsedContent>JAKHAR, R.; KRISHNA, Ch.: Business Intelligence: As a Strategic Tool for Organization Development (A Literature Review). ANWESH: International Journal of Management &amp; Information Technology. 2020, Vol. 5, Issue 1, pp. 44–46.</unparsedContent><order>7</order></reference><reference><unparsedContent>GROSSMANN, W.; RINDERLE-MA, S.: Fundamentals of Business Intelligence. Springer, 2015.</unparsedContent><order>8</order><doi>10.1007/978-3-662-46531-8</doi></reference><reference><unparsedContent>SHUJAHAT, M.; HUSSAIN, S.; JAVED, S.; MALIK, M. I.; THURASAMY, R.; ALI, J.: Strategic management model with lens of knowledge management and competitive intelligence: A review approach. VINE Journal of Information and Knowledge Management Systems. 2017, Vol. 47, Issue 1, pp. 55–93.</unparsedContent><order>9</order><doi>10.1108/VJIKMS-06-2016-0035</doi></reference><reference><unparsedContent>JUREVICIUS, O.: Strategic Management &amp; Strategic Planning Process. Strategic Management Insight. [online]. 2021. [accessed 2022-04-28]. Available from WWW: https://strategicmanagementinsight.com/tools/strategic-planning-process/</unparsedContent><order>10</order></reference><reference><unparsedContent>MacKAY, B.; AREVUO, M.; MACKAY, D.; MEADOWS, M.: Strategy: Theory, Practice, Implementation. Oxford University Press, 2020. ISBN-10 0198779429. ISBN-13 978-0198779421.</unparsedContent><order>11</order></reference><reference><unparsedContent>KAŠPAROVÁ, P.: Cluster Analysis of Using Business Intelligence Principles in Selected Companies. In: Quantitative Methods in Economics (Multiple Criteria Decision Making XX). 2020, Púchov, Slovakia. ISBN: 978-80-89962-60-0. Available from WWW: http://www.fhi.sk/en/katedry-fakulty/kove/ssov/papers/</unparsedContent><order>12</order></reference><reference><unparsedContent>KAŠPAROVÁ, P.: Evaluation of Application of New Decision-Making Methods in Selected Companies: The Use of Business Intelligence in Practice. ACC Journal. 2020, Vol. 26, Issue 2, pp. 29–40.</unparsedContent><order>13</order><doi>10.15240/tul/004/2020-2-003</doi></reference><reference><unparsedContent>KAŠPAROVÁ, P.: Zhodnocení zapojení business intelligence do rozhodovacích procesů v českých firmách dle oboru podnikání. 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(Business Intelligence and its Application in the Management of SME) Trendy v podnikání (Business Trends). 2017, Vol. 7, Issue 2, pp. 18–27. Available from WWW: https://dspace5.zcu.cz/bitstream/11025/29146/1/Noskova.pdf</unparsedContent><order>17</order></reference></references></article><article externalId="ACC_21917"><type>ORIGINAL_ARTICLE</type><languageVersion externalId="en21917" language="en"><title>SUSTAINABLE CITY LOGISTICS OF LAST-MILE DELIVERY AND RETURNS ON THE E-COMMERCE MARKET. VARIOUS GROUPS OF STAKEHOLDERS’ PERSPECTIVES – AIMS AND SCOPE OF THE PROJECT</title><abstract>The paper presents the research project implemented at Wrocław University of Economics and Business led by Eng. Maja Kiba-Janiak, Ph.D., Prof. of WUEB, financed by the National Science Centre in Poland, granted based on the decision number 2018/31/B/HS4/03711. The project answers the challenges created by the dynamically growing e-commerce market. Attractive purchase prices, low cost, short time, and convenient delivery places motivate consumers to shop online, which is a challenge for e-trade services and transport companies. Meeting the expectations of e-clients in terms of delivery of the purchased products leads to congestion, pollution, and road accidents. The project is the conceptualization of a model of sustainable city logistics in the field of last-mile delivery and the returns on the e-commerce market, including the tools stimulating stakeholders to change their preferences in terms of the last-mile delivery and goods return, making them more sustainable (environmentally, socially and economically).</abstract><pdfFileUrl>https://acc-ern.tul.cz/archiv/PDF/ACC_2022_2_04.pdf</pdfFileUrl><publicationDate>2022-09-30</publicationDate><pageFrom>44</pageFrom><pageTo>53</pageTo><doi>10.15240/tul/004/2022-2-004</doi><keywords><keyword>Sustainable city logistics</keyword><keyword>E-commerce</keyword><keyword>Last-mile delivery</keyword><keyword>Returns</keyword></keywords></languageVersion><authors><author><name>Maja</name><surname>Kiba-Janiak</surname><email>maja.kiba-janiak@ue.wroc.pl</email><order>1</order><instituteAffiliation>Wrocław University of Economics and Business, Faculty of Management, Department of Strategic Management and Logistics</instituteAffiliation><role>AUTHOR</role></author><author><name>Katarzyna</name><surname>Cheba</surname><email>katarzyna.cheba@zut.edu.pl</email><order>2</order><instituteAffiliation>West Pomeranian University of Technology, Faculty of Economics, Department of Applied Mathematics in Economics</instituteAffiliation><role>AUTHOR</role></author><author><name>Jarosław</name><surname>Witkowski</surname><email>jaroslaw.witkowski@ue.wroc.pl</email><order>3</order><instituteAffiliation>Wrocław University of Economics and Business, Faculty of Management, Department of Strategic Management and Logistics</instituteAffiliation><role>AUTHOR</role></author><author><name>Agnieszka</name><surname>Jagoda</surname><email>4agnieszka.jagoda@ue.wroc.pl</email><order>4</order><instituteAffiliation>Wrocław University of Economics and Business, Faculty of Management, Department of Strategic Management and Logistics</instituteAffiliation><role>AUTHOR</role></author><author><name>Agnieszka</name><surname>Skowrońska</surname><email>agnieszka.skowronska@ue.wroc.pl</email><order>5</order><instituteAffiliation>Wrocław University of Economics and Business, Faculty of Management, Department of Strategic Management and Logistics</instituteAffiliation><role>AUTHOR</role></author><author><name>Tomasz</name><surname>Kołakowski</surname><email>tomasz.kolakowski@ue.wroc.pl</email><order>6</order><instituteAffiliation>Wrocław University of Economics and Business, Faculty of Management, Department of Strategic Management and Logistics</instituteAffiliation><role>AUTHOR</role></author><author><name>Anna</name><surname>Baraniecka</surname><email>7anna.baraniecka@ue.wroc.pl</email><order>7</order><instituteAffiliation>Wrocław University of Economics and Business, Faculty of Management, Department of Strategic Management and Logistics</instituteAffiliation><role>AUTHOR</role></author><author><name>Jakub</name><surname>Marcinkowski</surname><email>jakub.marcinkowski@ue.wroc.pl</email><order>8</order><instituteAffiliation>Wrocław University of Economics and Business, Faculty of Management, Department of Strategic Management and Logistics</instituteAffiliation><role>AUTHOR</role></author><author><name>Magdalena</name><surname>Mucowska</surname><email>magdalena.mucowska@ue.wroc.pl</email><order>9</order><instituteAffiliation>Wrocław University of Economics and Business, Faculty of Management, Department of Strategic Management and Logistics</instituteAffiliation><role>AUTHOR</role></author></authors><references><reference><unparsedContent>YU, Y.; WANG, X.; ZHONG, R. 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Therefore, a combination of two different approaches is used, (I) The Cellular Approach and (II) Agent-Based Modelling. In a simulated regional energy market area covering a whole distribution grid, all types of consumers are allowed to trade electricity peer-to-peer regarding each consumer's preferences. The results show that energy purchases can be stimulated individually by flexible pricing and met preferences. Moreover, benefits occur for the whole region and potentials arise to smooth the exchange balance to the superordinate grid level.</abstract><pdfFileUrl>https://acc-ern.tul.cz/archiv/PDF/ACC_2022_2_05.pdf</pdfFileUrl><publicationDate>2022-09-30</publicationDate><pageFrom>54</pageFrom><pageTo>70</pageTo><doi>10.15240/tul/004/2022-2-005</doi><keywords><keyword>Cellular approach</keyword><keyword>Agent-based modelling</keyword><keyword>Regional energy markets</keyword><keyword>Flexible pricing mechanism</keyword><keyword>Proactive consumer behavior</keyword></keywords></languageVersion><authors><author><name>Jens</name><surname>Maiwald</surname><email>jens.maiwald@hszg.de</email><order>1</order><instituteAffiliation>Zittau/Goerlitz University of Applied Sciences, Faculty of Business Administration and Engineering</instituteAffiliation><role>AUTHOR</role></author></authors><references><reference><unparsedContent>MÜLLER, T.: The Role of Demand Side Management for the System Integration of Renewable Energies. 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The results suggest that the positive effect of balance sheet rule compliance on business performance cannot be confirmed, nor the predominant compliance among businesses was proven. Thus, the discussion of whether the balance sheet rules need regularly appear in the current business economics literature should be open. 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The findings of the research suggest that different generations of respondents will not have different preferences for using car-sharing in different situations. Significant differences between generations were only found in the situation where car-sharing would be preferred on the way to school or work. In other cases, no significant dependence between generations was shown. All generations of respondents can imagine using a car share more regularly during travel and entertainment, but not so much with children to clubs or when shopping and running errands at the authorities. This fact can be useful for marketers who need to discern the motives for customer participation in the sharing economy or the car-sharing segment. At the same time, marketing knowledge in connection with the sharing economy will be enhanced.</abstract><pdfFileUrl>https://acc-ern.tul.cz/archiv/PDF/ACC_2022_2_07.pdf</pdfFileUrl><publicationDate>2022-09-30</publicationDate><pageFrom>86</pageFrom><pageTo>95</pageTo><doi>10.15240/tul/004/2022-2-007</doi><keywords><keyword>Car sharing</keyword><keyword>Generation X</keyword><keyword>Generation Y</keyword><keyword>Generation Z</keyword><keyword>Marketing communications</keyword><keyword>Sharing economy</keyword></keywords></languageVersion><authors><author><name>Pavel</name><surname>Pelech</surname><email>pavel.pelech@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>Julie</name><surname>Holendová</surname><email>julie.holendova@tul.cz</email><order>2</order><instituteAffiliation>Technical University of Liberec, Faculty of Economics, Department of Marketing and Trade</instituteAffiliation><role>AUTHOR</role></author></authors><references><reference><unparsedContent>BEDNARIKOVA, M.; KOSTALOVA, J.: Sharing economy in the Czech Republic. 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Every year football clubs spend large sums of money on buying individual players. However, there is a small number of scientific studies dealing with statistical, economic dimensions, and performance evaluation of football players. The performance of individual players, as well as the performance of the whole team, are very important indicators that predetermine the success of the whole club. The aim of this research is to develop a new system for evaluating the efficiency of football players and then apply this system to football practice and identify technically efficient players. The present research uses the data envelopment analysis, specifically the input-oriented Charness, Cooper, Rhodes model and the Andersen-Petersen super-efficiency model. Both models are empirically applied to only one group of football players, namely goalkeepers of the first and second Slovak football leagues in the 2020/21 season. The model proposed in this article attempts to incorporate greater objectivity into making decisions and thus may be an important step in developing a systematic methodology for evaluating not only goalkeepers but also other player positions.</abstract><pdfFileUrl>https://acc-ern.tul.cz/archiv/PDF/ACC_2022_2_08.pdf</pdfFileUrl><publicationDate>2022-09-30</publicationDate><pageFrom>96</pageFrom><pageTo>105</pageTo><doi>10.15240/tul/004/2022-2-008</doi><keywords><keyword>Football</keyword><keyword>Sport</keyword><keyword>Goalkeeper</keyword><keyword>Data envelopment analysis</keyword><keyword>Efficiency</keyword><keyword>Super-efficiency</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><author><name>Michal</name><surname>Tomíček</surname><email>michal.tomicek@tul.cz</email><order>2</order><instituteAffiliation>Technical University of Liberec, Faculty of Economics, Department of Business Administration and Management</instituteAffiliation><role>AUTHOR</role></author></authors><references><reference><unparsedContent>MACHLICA, G.; ŠIŠKOVIČ, M.: Ak v Afrike nasneží, budeme majstri sveta: Majstrovstvá sveta vo futbale v roku 2010 z pohľadu ekonómov. 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Well-distributed investment in the development of tertiary education STEM majors can potentially strengthen universities’ positive impact on sustainable economic growth.</abstract><pdfFileUrl>https://acc-ern.tul.cz/archiv/PDF/ACC_2022_2_09.pdf</pdfFileUrl><publicationDate>2022-09-30</publicationDate><pageFrom>106</pageFrom><pageTo>121</pageTo><doi>10.15240/tul/004/2022-2-009</doi><keywords><keyword>Economic growth</keyword><keyword>Tertiary education</keyword><keyword>Sustainable development</keyword><keyword>STEM majors</keyword></keywords></languageVersion><authors><author><name>Olesya</name><surname>Petrenko</surname><email>petrenko@ujp.zcu.cz</email><order>1</order><instituteAffiliation>University of West Bohemia, Faculty of Economics, Department of Economics and Quantitative Methods</instituteAffiliation><role>AUTHOR</role></author></authors><references><reference><unparsedContent>AGASISTI, T.; BERTOLETTI, A.: Higher education and economic growth: A longitudinal study of European regions 2000–2017. 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