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Claiming too much, delivering too little: testing some of Hofstede’s generalisations

(unchanging); (4) shared; (5) coherent (contradiction-free); 4 See Smelser (1992) for a critique of the notion of a culture as coherent. (6) identifiable from answers to self-response questions; (7) depicable and rankable as ‘dimensions’ derived from the mean scores and ranking of those answers ( McSweeney, 2002a ; Taras and Steel, 2009 ). Each of these postulates, the consequent exclusion of other possible cultural and non-cultural influences, and the neglect of sub-national differences and changes have all been extensively critiqued ( Duncan 1980 ; Bock 1999

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Ifrs Versus Cz Gaap: Influence of Construction Contracts on Financial Indicators

. Jennings, M. M. (2003). Ethics and Non-GAAP Financial Reporting. Internal Auditing, 18(6), 37-40. Retrieved from http://media.proquest.com.zdroje.vse.cz/media/pq/classic/doc/499344171/fmt/pi/rep/NONE?hl=us%2Cus%2Cgaap%2Cgaap%2Corigins%2Corigin%2Corigins%2Corigin&cit%3Aauth=Jennings%2C+Marianne+M&cit%3Atitle=ETHICS+AND+NONGAAP+FINANCIAL+REPORTING&cit%3Apub=Internal+ Kislingerová, E. (2010).Manažerské finance (3 ed.). Praha: C. H. Beck. Kubíčková, D. (2011). Účetní výkazy dle IFRS a bankrotní model Z-score. Journal of Competitiveness, 38

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Social and Cultural Factors and their Impact on the Quality of Business Environment in the SME Segment

Bank AG Deutsche Bank Research Frankfurt am Main Germany. Available at: https://www.dbresearch.com/PROD/DBR_INTERNET_EN-PROD/PROD0000000000379559/The_business_environment_in_the_eurozone%3A_Why_it_i.pdf Zahra, S. A., & Wright, M. (2016). Understanding the Social Role of Entrepreneurship. Journal of Management Studies , 53(4), 610–629. https://doi.org/10.1111/joms.12149 Z Score Calculator for 2 Population Proportions. Available at: http://www.socscistatistics.com/tests/ztest/Default2.aspx .

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How the Big Ten West Was Won: Football Recruiting

Abstract

The paper analyses the 2017 Big Ten West Division football cycle models recruiting. The top ten recruit scores [(Rivals.com * 100) + [100 (outside surrounding); 75 (surrounding)] + extra credit walk-ons (100; 75)] allow proper ranking: Iowa, Nebraska, Wisconsin, Northwestern, Illinois, Minnesota, and Purdue.

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How Good is Your User Experience? Measuring and Designing Interactions

Abstract

Form and function are important dimensions of consumer choice, but there is more in our increasingly digital world. It is not only products per se that need to be designed but the whole interaction between consumers and brands. The whole UX or user experience is more important than ever before. Digitalism nowadays is everywhere, and even mundane products are becoming more digital (e.g. ovens), while others evolve that are purely digital (e.g. PayPal).

The question is: How can we effectively measure and design interactions in this highly digital and complex environment? For quite a long time “usability” was the one and only measure on the agenda. But consumer experience goes far beyond ease of use or high functional quality. UX is a complex construct with several dimensions that are covered in GfK´s UX score.

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Non-Renewable Energy and Macroeconomic Efficiency of Seven Major Oil Producing Economies in Africa

Abstract

This study adopted two-stage DEA to estimate the technical efficiency scores and assess the impact of the two most important components of fossil fuel associated with oil production on macroeconomic efficiency of Seven oil producing African countries during 2005-2012. Our results showed that increasing the consumption of natural gas would improve technical efficiency. Furthermore, increasing the share of fossil fuel in total energy consumption has negative effect on the efficiency of the economies of the top African oil producers. Also, we found that increasing the consumption of primary energy improves efficiency in these economies. We therefore, recommend that governments and other stakeholders in the energy industry should adopt inclusive strategies that will promote the use of natural gas in the short term. However, in the long-run, efforts should be geared towards increasing the use of primary energy, thereby reducing the percentage share of fossil fuel in total energy consumption.

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Factors differentiating between concentric and sprinkled multiple-patronage shoppers in Kuwait

Abstract

Two types of hypermarket spenders with multi-patronage behavior were identified; namely, “Concentric” and “Sprinkled.” The objective of this study is to examine which of hypermarket store attributes differentiate between the two types of spenders, and to determine the differences of their demographic characteristics. Six store attributes including the depth of the product assortment, store services, location convenience, sales promotion, prices, and store reputation were examined. Also, five different demogrpaphics were tested including gender, nationality, marital status, education and monthly income.. A cross sectional design with an intercept survey was used. Three hundered cusdtomers were intercepted at diffeerent hypermarket store locations and asked to fill out the survey instrument. Two research hypotheses were tested using the survey data. The interpretation of the discriminant function showed that “concentric” spenders score quite high on store services, moderately on convenience and sales promotion, and low on prices. Both product assortment depth and store reputation were not important to the discriminant function interpretation. Results also indicated that only two demographics were significantly differentiating between the two types of spenders. Several recommendations were made based on the study findings to enable each hypermaqrket store in Kuwait to increase its share of a consumer’s wallet.

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Trends in ethnocentrism of Romanian consumers and their attitudes towards the marketplace

Abstract

This paper investigates Romanian consumer ethnocentrism and the Romanian consumers’ attitudes towards local products and towards campaigns promoting local products. The research was conducted through a questionnaire addressed to a sample containing two groups of respondents. The sample was organized also into two groups: Millennials (consumers aged between 15 and 34 years old) and Non-Millennials (35-over 65 years old). It was tested the hypothesis that Millennials are less ethnocentric compared to the Millennials. Another hypothesis of the research consists of the fact that the Millennials consumers’ attitudes towards local products and towards local campaigns promoting local products show lower scores in comparison with the consumers belonging to the other group. The obtained results of this research highlight the following: there are not significant differences between the two groups regarding the level of ethnocentrism and their attitudes towards consumption of local products and campaigns promoting local products, however Millennials show more interest to the products that offer the best value for money whether they are done or not in Romania in comparison with Non-Millennials. The Romanian consumers would also like that the state and the industry involve more in supporting the local products.

Open access
The geographic distribution of Knowledge Economy (KE) within the European Union (EU)

Abstract

The business environment is reshaped by knowledge economy which has taken both competitiveness and doing business to a whole new level. Because knowledge economy plays a key role in the creation of welfare it has been classified as an important reliable indicator for comparing world’s economies. The present paper highlights the geographic distribution of knowledge economy at the level of the European Union by means of factorial analysis. Factor analysis, a well-known statistical clustering technique, has been applied on the 28 EU countries (seen in our study as random variables) with an a priori fixed number of two factors. On each variable, the realisations are given by the scores (normalized between 0 and 1) registered for year 2012 on 12 key Knowledge Economy (KE) indices. The resulting factor structure is compared to the standard geographical grouping of EU countries (NorthWest-SouthEast) in present KE literature. SPSS software has been used for the statistical analysis. The highest correlations attained were in terms of the Global Competitiveness Index, World Happiness Index, R&D expenses signifying that they could also act as predictors in evaluating the status of the knowledge economy of a particular country, whereas weaker correlations can be spotted for enterprises selling online, electric energy consumption, carbon dioxide emissions and others. In the future, the same relationship can be tested to see whether the influences have changed, in the light of new available data.

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Differences in the Concept of Risk Management in V4 Countries

Abstract

Risk management is one of the entrepreneurial knowledge to reduce business risks. The aim of the article is to compare the access to risk management in SMEs in the Visegrad countries (V4). The attention is focused on the differences in a perception of the importance of various risks, the choice of the person responsible for risk management and the frequency of discussion on the current risks in the company. The article deals with the partial results of the empirical questionnaire survey which was completed in 2018 at the Tomas Bata University in Zlín in the Czech Republic. The survey was made among SMEs in the Czech Republic (408 respondents), Slovakia (487), Poland (489) and Hungary (388). The questionnaire included questions about the importance of risks and the concept of risk management in the company. Three research questions were set. To test the formulated research questions, the following statistical tools, such as pivot table, relative and absolute frequency, the Chi-Square calculator for 5 x 5 Contingency Table and Z-score, were used. Finally, the result indicates a different perception of the key risks in Hungary (in comparison with other V4 countries). There are also statistically significant differences in the frequency of discussion on the current risks in relation to the size of the company among V4 countries. The differences among the companies from V4 countries in the choice of the person responsible for risk management were proved as well. The article concludes with a discussion on the comparison of the previous international researches.

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