Číslo 35, ročník XIV

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    Customer Experience in Shared Economy: Recommendations for Companies
    (Vysoké učení technické v Brně, Fakulta podnikatelská, 2020-07-01) Machala, Jan
    Purpose of the article: This article aims to identify the perception of customers in the shared economy, specifically their customer experience with Uber, Bolt and Airbnb, and then evaluate what these companies stand out for or what their deficiencies are, and formulate recommendations for them. Methodology/methods: The secondary research from an article in Web of Science and primary research conducted through an online questionnaire. Scientific aim: Find out customers’ views on shared economy services. Findings: Shared economy services are rated very positively, however, there is still a possibility for the development of new services. Conclusions: Customers are satisfied with the services of the shared economy and feel that these services save them time and money and make it easier to solve their problem. They are also willing to recommend these services. However, they are not very loyal to a particular brand. Businesses should focus on building a positive relationship with the brand to build more loyal customers. Companies could also do this by building a community in which their custodians feel good and proud to be part of that community. The limitations of this research are mainly in the narrow focus on three companies in the field of shared economy and also the age of respondents, as the majority of respondents were in the range of 18–34 years.
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    Corporate Social Responsibility and Performance of Nigerian Quoted Firms: An Empirical Study
    (Vysoké učení technické v Brně, Fakulta podnikatelská, 2020-07-01) Okolie, Ugo Chuks; Igbini, Daniel Mevayerore
    Purpose of the article: To examines the effect of corporate social responsibility on performance of Nigerian quoted firms. Methodology/methods: The study applies the survey research method, carrying out a crosssectional analysis of one hundred and fifty (150) firms quoted on the Nigerian Stock Exchange. The model was specified and analysed using the binary logistic regression analysis. Scientific aim: To examine the effect of corporate social responsibility on firm profitability, to evaluate the effect of corporate social responsibility on return on equality, and to assess the effect of corporate social responsibility on market success in Nigeria. Findings: The results revealed that corporate social responsibility (CSR) exerts a positive and statistically significant effect on firm profitability (PF), return on equity (ROE) and market success (MS) in Nigeria. Conclusions: Based on the findings, we concluded that corporate social responsibility (CSR) has a significant influence on firm profitability (PF), return on equity (ROE) and market success (MS). Thus, the study recommends among others that corporate firms in Nigeria should intensify efforts to increase their commitment to social responsibility in order to create good image in the mind of their host communities.
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    Nexus of Information Asymmetry, Environmental Externalities and Financial Performance: Evidence from Listed Nigerian Companies
    (Vysoké učení technické v Brně, Fakulta podnikatelská, 2020-07-01) Ihenyen, Confidence Joel
    Purpose of the article: There is dearth of empirical studies on the association between information asymmetry, environmental externalities and financial performance, especially in Nigeria. Thus in this paper, we examined the nexus of information asymmetry, environmental externalities and financial performance of listed Nigerian firms. Methodology/methods: In order to attain this, the ex-post facto design was adopted and the simple random sampling technique was used in selecting ten (10) firms in the industrial and consumer goods subsector with data spanning from 2012–2017. The data were obtained from the financial statements of the companiws and the Nigerian Stock Exchange Factbook, while the analysis was carried out via the ordinary least square, fixed and random effects statistical tool. Scientific aim: This paper assessed the nexus of information asymmetry, environmental externalities and financial performance in Nigeria. Findings: The study found a clear indication that the level of financial performance of industrial and consumer goods companies in Nigeria is significantly influenced by the information asymmetry, as well as environmental externalities. Contributions: In view of the findings, it was recommended that there should be collaboration between the government and regulatory framework of accounting in order to advance a robust and clear-cut legislation on disclosure of environmental externalities and information irregularity in the financial statements of companies. Also, this study contributes to knowledge by filling the gap in literature, as well as showing that apart other dynamics that may influence financial performance, information asymmetry and environmental externalities are seemingly fundamental.
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    Business Model Adaptation Through Inclusion of Environmental Sustainability Measures
    (Vysoké učení technické v Brně, Fakulta podnikatelská, 2020-07-01) Krmela, Aleš; Tesařová, Mariana
    Purpose of the article: The article aims at understanding and description of how and why the business model (BM) of an incumbent manufacturing B2B company adapts, collaboratively with a dominant customer, through measures leading to an improved environmental sustainability performance. The research question was: How is a business model of an incumbent, businessto-business company adapted through the inclusion of environmental sustainability measures, with the customer’s involvement? Methodology/Methods: A qualitative research approach, drawing on a descriptive-explanatory, single case study conducted on a Czech manufacturing company active in the field of steel processing was performed. The study draws on the analysis of the focal company’s internal and external documents related to sustainability, as well as on semi-structured interviews with the examined company’s executives. The analysis also include the externally available sustainability related documents of a dominant customer. Scientific Aim: Understanding the impact of the environment-related sustainability measures on the adaptation of the extant BM of the focal company, and the role a dominant customer plays in the process. Findings: The inclusion of environment-related sustainability measures leads to an adaptation of the process and the product, as well as of the focal company’s BM and most of its key elements. A value capture by the focal company has been identified as the mainly affected element of a BM through both cost savings and a more business gained. The element value proposition adapts towards a “greener company”. The core logic of the BM remains unchanged. Conclusions: B2B incumbent companies implement environmental sustainability measures into their BMs, aiming to contribute to the preservation of the environment. The economic side continues to be carefully considered. It can even be a trigger of implementation. The large customers get strongly involved in the process, contributing to the adaptation of all four key elements of the BM. The BM’s adaptation happens dynamically, in incremental steps.
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    Prediction of European Stock Indexes Using Neuro-fuzzy Technique
    (Vysoké učení technické v Brně, Fakulta podnikatelská, 2020-07-01) Janková, Zuzana; Dostál, Petr
    Purpose of the article: The paper is focused on the forecast of stock markets of the Central European countries, known as V4, by means of soft computing. The tested model is constructed by a combination of fuzzy logic and artificial neural networks. A total of four SAX, PX, BUX, WIG stock indices differing in their liquidity and efficiency are selected for the forecast. Methodology/methods: The methods of analysis, synthesis and techniques of mathematical neuro-fuzzy modelling were used to achieve this goal. The proposed neuro-fuzzy decisionmaking model consists of 3 input variables, one block of rules (with 21 fuzzy rules) and one output variable predicting the normalized price of stock indexes of the selected countries. The input variables have three attributes (L – large, M – medium, and S – small). Scientific aim: The aim of the paper is to create a suitable model that will be used to forecast stock indices of the Central European countries with a relatively low error. Findings: The developed ANFIS model is a suitable tool for predicting stock indexes. The importance of the neuro-fuzzy model can be seen especially in the fact that it shows a strong predictive capacity of both efficient and less efficient stock markets. Conclusions: The paper discussed the design of the neuro-fuzzy model as a supporting tool for predicting the selected stock indexes listed on the European stock markets. For further research, it would be appropriate to extend the proposed model with other significant fundamental indicators, or to incorporate technical and psychological indicators and to monitor the strength of the revised model also in several stock markets, for example according to the geographical distribution.