Fuzzy model of relationship among economic performance, competitiveness and business ethics of small and medium-sized enterprises

Bočková, Nina; Brož, Zdeněk; Dohnal, Mirko

doi:10.11118/actaun201260040071

Cited by 4 publications

(5 citation statements)

References 8 publications

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“…An algorithm, which can be used to solve the model (5), is based on pruning of a specially generated tree of combinations. It is not the goal of this paper to describe such algorithm, as it is a purely mathematical combinatorial task, see e.g.…”

Section: Supportmentioning

confidence: 99%

“…The transitional graph in Fig. 4 is an example of an unsteady state behaviour of a more complex model (5).…”

Section: Transitional Graphsmentioning

confidence: 99%

“…This is the reason why information non-intensive formal tools are used more and more frequently, see e.g. fuzzy and / or rough sets Dočekalová, Kocmanová, (2016); Meluzín et al, (2016); Bočková et al, (2012) Common sense formalization has attracted attention long time ago; see e.g. Lipmann, Bogen, (1923), Bredeweg, Salles, (2009).…”

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confidence: 99%

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Decision Making on Capital Markets Using Non-Numerical Model Based on Qualitative Trends

Poláček¹,

Meluzín²,

Chládek³

2019

AAK

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One of the main objectives of this study is to develop a qualitative model that will serve the decision makers' CFOs (chief financial officers), where, as a rule, it is decided without deeper processing of information many factors that affect each other significantly. Lack of appropriate statistical information in connection with turbulently changing environments suggests that further research is needed to extend existing IPO models based on statistical analyzes. The paper is using basic qualitative research of trends. A qualitative trend model can be developed under conditions when the relevant quantitative model must be heavily simplified. The key information input into IPO is expert knowledge. The solution of a trend model M(X) is a set S of scenarios where X is the set of n variables quantified by the trends. All possible transitions among the scenarios S are generated. An oriented transitional graph G has as nodes the set of scenarios S and as arcs the transitions T. An oriented G path describes any possible future and past time behaviour of the IPO system under study. The case study presents a model based on integration of equationless relations using 8 variables e.g. Market condition, Recognisability or Liquidity risk. There are 17 scenarios S and 41 transitions T among them. All pairs of relationships are based on trends, either increasing, constant, or decreasing. The key input of the correct IPO timing analysis is based on the knowledge of experts traced from qualitative heuristics. The transition graph is a qualitative interpretation of all possible quantitative time series of all variables used in our IPO timetable and should be used as an effective tool to support CFO decisions.

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Section: Supportmentioning

confidence: 99%

“…The transitional graph in Fig. 4 is an example of an unsteady state behaviour of a more complex model (5).…”

Section: Transitional Graphsmentioning

confidence: 99%

See 1 more Smart Citation

Decision Making on Capital Markets Using Non-Numerical Model Based on Qualitative Trends

Poláček¹,

Meluzín²,

Chládek³

2019

AAK

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“…Fuzziness has been used since its introduction in many areas of science and engineering. There are also some studies dedicated to application of fuzzy sets to problems in economics and accounting (Siegel, De Korvin, & Omer, ; López‐González, Rodríguez‐Fernández, & Mendaña‐Cuervo, ; Chou & Liang, ; Torabi & Hassini, ; Kwak, Shi, & Lee, ; Bockova, Broz, & Dohnal, ; Beynon & Clatworthy, ).…”

Section: Fuzziness and Soft Computingmentioning

confidence: 99%

Soft Computing Techniques for Querying XBRL Data

Reformat

Yager

2015

Intell. Sys. Acc. Fin. Mgmt.

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SUMMARYAvailability of business data is an important aspect of effective financial activities. An easy access to financial information has immense influence on actions and decisions regarding investing, trade and operations of companies and firms. The proposed standard -eXtensible Business Reporting Language (XBRL) -provides a means to create a uniform framework for representing corporate and financial information. XBRL defines an easily interpretable, machine-readable and XML-based data format. Its flexibility allows for representing business data using different languages, as well as following different regulation standards.One of important benefits of XBRL is application of XML-based tools and systems that enable easy preparation, processing and validation of corporate data. It is also possible to use XML-based storage and query systems.In this paper we propose and describe a concept of soft queries. They provide the users with a human-friendly interface for interacting with XBRL data. These queries are equipped with linguistic terms (such as large, medium, small) and linguistic qualifiers (all, mostly). Such queries are able to provide the users with results similar to the results obtained when they analyse data themselves. Linguistic terms and qualifiers are represented as fuzzy sets. Fuzzy-based operations and aggregation operators allow for mimicking a human-like processing of data. The proposed approach is illustrated with queries executed on an XBRL document.

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“…Indeed, for the present and future, it is critically important for states and their laws (Pelikánová and MacGregor 2020b) as well as for businesses and their strategies to understand the willingness and readiness of members of Generation Z to support sustainability and CSR. Ethical business behavior is positive for investors, satisfying suppliers and customers as well motivates employees (Bočková et al 2012). Perhaps the most important is to detect the parameters and circumstances when a total failure occurs.…”

Section: Introduction-the Roots Evolution and Presence Of Sustainability And Csrmentioning

confidence: 99%

CSR Unconscious Consumption by Generation Z in the COVID-19 Era—Responsible Heretics Not Paying CSR Bonus?

Pelikánová

Hála

2021

JRFM

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The COVID-19 pandemic brought a myriad of challenges and opportunities and has influenced the modern concept of sustainability as projected into the Corporate Social Responsibility (CSR) and the underlying multi-stakeholder model. The new generation of consumers, Generation Z, has progressively increased its participation in the market and its shopping trends have been impacting the entire CSR scenery. However, little is known about their attitudes, consumption preferences and expectations. In Spring 2021, this induced a pioneering case study survey involving members of Generation Z, students from a private university in Prague, focusing on their (lack of) readiness to pay any “CSR bonus”. The principal research aim was to study and understand the rather surprising unwillingness of a solvent part of the new generation of consumers to support CSR during the COVID-19 era by paying at least a symbolic CSR bonus. A formal survey involving a questionnaire, replied to by 228 students, out of which 18 totally rejected the CSR bonus, was assessed via contingency tables. It was accompanied by a complementary questioning via an informal interview and glossing. This plethora of data was processed by meta-analysis and lead to an unexpected proposition: prima facie sustainability heretics denying to pay any CSR bonus can be conscious consumers and responsible and progressive supporters of the sustainability and CSR. Their rejection is a deontological cry in a desert for more transparency, trust and the rule of law.

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Fuzzy model of relationship among economic performance, competitiveness and business ethics of small and medium-sized enterprises

Cited by 4 publications

References 8 publications

Decision Making on Capital Markets Using Non-Numerical Model Based on Qualitative Trends

Decision Making on Capital Markets Using Non-Numerical Model Based on Qualitative Trends

Soft Computing Techniques for Querying XBRL Data

CSR Unconscious Consumption by Generation Z in the COVID-19 Era—Responsible Heretics Not Paying CSR Bonus?

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