<?xml version="1.0" encoding="utf-8" ?>
<article xml:lang="en" article-type="research-article" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">
    <front>
        <journal-meta>
            <journal-id journal-id-type="publisher-id">PSJFS</journal-id>
            <journal-title-group>
                <journal-title>Potravinarstvo Slovak Journal of Food Sciences</journal-title>
                <abbrev-journal-title abbrev-type="pubmed">Potr. S. J. F. Sci.</abbrev-journal-title>
            </journal-title-group>
            <issn pub-type="ppub">1338-0230</issn>
            <issn pub-type="epub">1337-0960</issn>
            <publisher>
                <publisher-name>Association HACCP Consulting</publisher-name>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="publisher-id">PSJFS-13-1-720</article-id>
            <article-id pub-id-type="doi">10.5219/1157</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>ARTICLE</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>GENDER DIFFERENCES IN CONSUMER PREFERENCES WHEN BUYING DAIRY PRODUCTS IN SLOVAKIA AND RUSSIA</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <contrib-id contrib-id-type="orcid">http://orcid.org/0000-0003-3681-1297</contrib-id>
                    <name>
                        <surname>Ubre&#x017E;iov&#x00E1;</surname>
                        <given-names>Iveta</given-names>
                    </name>
                    <xref ref-type="aff" rid="aff1" />
                </contrib>
                <contrib contrib-type="author">
                    <contrib-id contrib-id-type="orcid">http://orcid.org/0000-0003-4281-7329</contrib-id>
                    <name>
                        <surname>Urb&#x00E1;nov&#x00E1;</surname>
                        <given-names>M&#x00E1;ria</given-names>
                    </name>
                    <xref ref-type="aff" rid="aff2" />
                </contrib>
                <contrib contrib-type="author">
                    <contrib-id contrib-id-type="orcid">http://orcid.org/0000-0001-7913-9053</contrib-id>
                    <name>
                        <surname>Koz&#x00E1;kov&#x00E1;</surname>
                        <given-names>Jana</given-names>
                    </name>
                    <xref ref-type="corresp" rid="cor1">&#x002A;</xref>
                </contrib>
                <contrib contrib-type="author">
                    <contrib-id contrib-id-type="orcid">http://orcid.org/0000-0002-1464-120X</contrib-id>
                    <name>
                        <surname>Kr&#x00E1;&#x013E;ov&#x00E1;</surname>
                        <given-names>Tatiana</given-names>
                    </name>
                    <xref ref-type="aff" rid="aff4" />
                </contrib>
                <aff id="aff1">
                    <institution>Iveta Ubre&#x017E;iov&#x00E1;, Slovak University of Agriculture, Faculty of Economics and Management, Department of Management, Trieda A. Hlinku 2, 949 76 Nitra, Slovakia, Tel.: +421 37 641 4134, E-mail: iveta.ubreziova@uniag.sk</institution>
                </aff>
                <aff id="aff2">
                    <institution>M&#x00E1;ria Urb&#x00E1;nov&#x00E1;, Slovak University of Agriculture, Faculty of Economics and Management, Department of Economics, Trieda A. Hlinku 2, 949 76 Nitra, Slovakia, Tel.: +421 37 641 4593, E-mail: maria.urbanova1@uniag.sk</institution>
                </aff>
                <aff id="aff4">
                    <institution>Tatiana Kr&#x00E1;&#x013E;ov&#x00E1;, Slovak University of Agriculture, Faculty of Economics and Management, Department of Management, Trieda A. Hlinku 2, 949 76 Nitra, Slovakia, Tel.: +421 37 641 4134, E-mail: xkralovat@is.uniag.sk</institution>
                </aff>
            </contrib-group>
            <author-notes>
                <corresp id="cor1">
                    <label>&#x002A;</label>Corresponding author: Jana Koz&#x00E1;kov&#x00E1;, Slovak University of Agriculture, Faculty of Economics and Management, Department of Management, Trieda A. Hlinku 2, 949 76 Nitra, Slovakia, Tel.: <phone>+421 37 641 4130</phone>, E-mail: <email xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="jana.kozakova@uniag.sk">jana.kozakova@uniag.sk</email></corresp>
            </author-notes>
            <pub-date pub-type="ppub">
                <month>9</month>
                <year>2019</year>
            </pub-date>
            <pub-date pub-type="epub">
            <day>28</day>
                <month>9</month>
                <year>2019</year>
            </pub-date>
            <volume>13</volume>
            <issue>1</issue>
            <fpage>720</fpage>
            <lpage>729</lpage>
            <history>
                <date date-type="received">
                    <day>2</day>
                    <month>7</month>
                    <year>2019</year>
                </date>
                <date date-type="accepted">
                    <day>24</day>
                    <month>7</month>
                    <year>2019</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>&#x00A9; Association HACCP Consulting. All rights reserved.</copyright-statement>
                <copyright-year>2019</copyright-year>
                <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by-nc/3.0/">
                    <license-p>This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (<uri xlink:href="http://creativecommons.org/licenses/by-nc/3.0/">http://creativecommons.org/licenses/by-nc/3.0</uri>) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <abstract>
                <p>In spite of geographical and culture differences between examined countries, there can be found similarities in consumer behavior of men and woman and also the similar tendencies on the dairy product market. In the last decade different fields of science concerns with the topic of gender differences more frequently. The article is based on a research of consumers' overall attitude to dairy products in Slovakia and Russia. The important role of gender differences underlines the outcomes of the questionnaire survey. Kruskal-Wallis test and Bonferroni correction was applied to verify the hypothesis whether there is a dependency between gender of the respondents and their attitude while choosing the dairy products in both countries. Analysis showed that in both countries women tend to buy dairy products more often than men. Also consumers prefer more domestic products, but Russian not as significantly as Slovakian. In both countries consumers consider the price of dairy products as high, but they don’t outline the price as the most important factor when choosing dairy products. At the same time, both genders consider quality as the most important factor. These results indicate the existence of a niche at the Russian market, which could be used by Slovak dairy producers who can possibly penetrate Russian market. In addition, the similar marketing strategy for both, Slovak and Russian market can be used if the advertisement will be sensitively focused on the gender.</p>
            </abstract>
            <kwd-group>
                <kwd>gender difference</kwd>
                <kwd>dairy product</kwd>
                <kwd>preference</kwd>
                <kwd>Slovakia</kwd>
                <kwd>Russia</kwd>
            </kwd-group>
        </article-meta>
    </front>
    <body>
        <sec sec-type="intro">
            <title>INTRODUCTION</title>
            <p>Penetrating of foreign market is one of the main strategic decisions company&#x2019;s management can do. Decision making in this case is ongoing process which have to include thoroughgoing market analysis (<xref ref-type="bibr" rid="b5">Crowley, Meng and Song, 2018</xref>) and subsequently designing of marketing strategy for specific groups of products (<xref ref-type="bibr" rid="b33">Yang, 2018</xref>). Campaign planners need to answer three questions (<xref ref-type="bibr" rid="b6">Elsner, Kraft and Huchzermeier, 2004</xref>): &#x201C;when to make an offer (timing), how often to make an offer (frequency), and whom to contact (target group). In this article we are focusing on the target group selection problem, which is widely studied under problem of direct marketing and churn management (<xref ref-type="bibr" rid="b34">Zhu, Baesens and vanden Broucke, 2017</xref>).</p>
            <p>The food industry has an irreplaceable status in the economy, since it is producing food for the population. Therefore, food producers are not just entrepreneurs, but they provide food security. Food security was defined by <xref ref-type="bibr" rid="b29">United Nations (1975)</xref> at World Food Summit as &#x201C;availability at all times of adequate world food supplies of basic foodstuffs to sustain a steady expansion of food consumption and to offset fluctuations in production and prices&#x201D; Therefore the task of food producers is not just to create profit, but provide food security and secure food too (<xref ref-type="bibr" rid="b10">Golian et al., 2018</xref>). Their role is increasingly important within production of dairy products where every country has set the Rational Consumption Norms. Since population usually does not consume prescribed quantities (<xref ref-type="bibr" rid="b13">Kubicov&#xE1; and Hab&#xE1;nov&#xE1;, 2012;</xref> <xref ref-type="bibr" rid="b35">Zingone et al., 2017;</xref> <xref ref-type="bibr" rid="b14">Kubicov&#xE1;, Predanocyov&#xE1; and K&#xE1;dekov&#xE1;, 2019</xref>), information that the consumer receives as part of the advertising campaign of companies plays increasing role in ensuring nutritionally sufficient consumption. Consumers have positive attitudes towards cause related marketing programms (<xref ref-type="bibr" rid="b31">Witek, 2016</xref>). Nutrition educationing in this area results in an increased intake of calcium-rich foods (such as dairy products) which is important in the prevention of osteoporosis (<xref ref-type="bibr" rid="b20">Melton et al., 1997</xref>). To popularize these products, <xref ref-type="bibr" rid="b11">Kim, Reicks and Sjoberg (2003)</xref> recommend using concepts that dairy products taste good, they can serve as beverages at breakfast or during the rest of the day, they help one to have a balanced diet, and they are foods that go well with other foods. In addition, practitioners might help older adults increase perceived control in eating dairy foods with meals by substituting milk for other beverages and enhancing cooking skills using dairy products. Nonetheless <xref ref-type="bibr" rid="b1">Ajzen (1991)</xref> adds that, the relationship between perceived behavioral control and intention is also dependent not just on the behavior but situation as well. In addition, even in this area, we can not forget the differences between men and women. Gender differences are described from variant points of view in different fields of science, and the impact of gender on consumer behavior is increasingly being solved mainly in last decade (<xref ref-type="bibr" rid="b18">Lockshin and Corsi, 2012</xref>). For example, research outcomes usable in marketing are that: men have higher ICT self-efficacy and hold more favorable attitudes toward technology than girls (<xref ref-type="bibr" rid="b4">Cai, Fan and Du, 2017</xref>), women in Western societies are typically more risk averse than men in individual risk taking decisions (<xref ref-type="bibr" rid="b9">Friedl, Pondorfer and Schmidt, 2019</xref>), or that there are differences in variations in fixation count, fixation duration, pupil diameter, and hit ratio when buying (<xref ref-type="bibr" rid="b23">Qu and Guo, 2019</xref>). Nonetheless, not only gender should be taken into account when assessing consumer behavior, purchasing is influenced by several factors (<xref ref-type="bibr" rid="b12">Kozelov&#xE1; et al., 2011</xref>) among which is dominated consumer personality, income, finances and lifestyle, as well as psychological factors such as perception, motivation, learning, cognition and attitudes. But, several authors confirm specificly the role of origin (<xref ref-type="bibr" rid="b3">Bry&#x142;a, 2015;</xref> <xref ref-type="bibr" rid="b15">Kumpulainen et al., 2018a;</xref> <xref ref-type="bibr" rid="b28">Th&#xF8;gersen, Pedersen and Aschemann-Witzel, 2019</xref>) and gender (<xref ref-type="bibr" rid="b16">Kumpulainen et al., 2018b;</xref> <xref ref-type="bibr" rid="b2">Broussard, 2019</xref>) in the food marketing and consumer decisions.</p>
            <sec>
                <title>Scientific hypothesis</title>
                <p>
                    <list list-type="simple">
                        <list-item>
                            <p>H0: The samples come from the same population.</p>
                        </list-item>
                        <list-item>
                            <p>H1: The samples do not come from the same population</p>
                        </list-item>
                    </list>
                </p>
                <p>The hypothesis aply to whether there is a dependency between gender (<xref ref-type="bibr" rid="b19">Mansoora, 2017;</xref> <xref ref-type="bibr" rid="b27">Thelwall and Stuart, 2019;</xref> <xref ref-type="bibr" rid="b17">Li and Zeng, 2019</xref>) of the respondents and their attitude while choosing the brand of dairy products.</p>
            </sec>
        </sec>
        <sec sec-type="materials|methods">
            <title>MATERIAL AND METHODOLOGY</title>
            <p>The research was conducted from February 19, 2019 to March 20, 2019, attended by 203 respondents from Slovakia and 104 respondents from Russia. The questionary was filled by respondents of all ages, in different social situations and with different views on the issue. Questions dealt with consumers&#x27; overall attitude to dairy products. </p>
            <sec>
                <title>Statistic analysis</title>
                <p>For the collection of data, online Google form of questionnaire was used. The results of the survey were processed using XLSTAT version 2019.1 by Addinsoft.</p>
                <p>We implied Kruskal-Wallis test (<xref ref-type="bibr" rid="b25">Ruxton and Beauchamp, 2008</xref>) and bonferroni correction on the sample of Slovak respondents and consequently on a Russian sample. A prerequisite for using this test is that all observations are independent of each other so that the variable under consideration is measured on the ordinal scale, and that all selection distribution functions are approximately the same shape. The hypothesis that all selections come from the same distribution, or from distributions with identical distribution functions were tested: H0: F1 (X) = F2 (X) = Fk (X) versus alternative hypothesis that not all distribution functions equal. The significance level &#x3B1; is set to 0.05, ie allowance is a 5% test error. If <italic>p</italic>-value is &#x2264; &#x3B1;, then H0 is rejected at the significance level &#x3B1; and we accept H1. If <italic>p</italic>-value &#x3E; &#x3B1;, then H0 is not denied at the significance level &#x3B1;. Statistical hypothesis testing is based on rejecting the null hypothesis if the likelihood of the observed data under the null hypotheses is low. If multiple hypotheses are tested, the chance of a rare event increases, and therefore, the likelihood of incorrectly rejecting a null hypothesis increases (<xref ref-type="bibr" rid="b22">Mittelhammer, Judge and Miller, 2000</xref>). The Bonferroni correction compensates for that increase by testing each individual hypothesis at a significance level of &#x3B1;/ⅿ, where &#x3B1; is the desired overall alpha level and m is the number of hypotheses (<xref ref-type="bibr" rid="b21">Miller, 1970</xref>).</p>
                <p>Therefore, we applied Bonferroni correction to counteract the problem of multiple comparisons between the following questions:<list list-type="simple"> <list-item> <p>Question 1. How often do you buy dairy products&#x3F;</p> </list-item> <list-item> <p>Question 2. What kind of dairy origin do you prefer&#x3F;</p> </list-item> <list-item> <p>Question 3. What do you think about the prices of milk and dairy products&#x3F;</p> </list-item> <list-item> <p>Question 4. What is the most important factor for you when choosing a dairy brand&#x3F;</p> </list-item> </list></p>
            </sec>
        </sec>
        <sec sec-type="results|discussion">
            <title>RESULTS AND DISCUSSION</title>
            <p>Slovakia and Russia are states with many geographic, economic (Table <xref ref-type="table" rid="T1">1</xref>) and social differences as well. Their markets are in many ways hardly comparable. But, considering impact of Soviet block period of both countries and fact that both are &#x201C;Slovanian&#x201D; nations, there are many cultural similarities as well. These common signs could be fundamental for bilateral cooperation and international entrepreneurship activities between each other. Since Russian market is one of the biggest worldwide, it can be seen as a big opportunity for Slovak production sector. However, nowadays Slovak producers have to respect membership in European Union, which is visible mostly in case of quotas in primar agricultural production. These apply to selected products and in the Slovakia it is recently connected mainly with milk and situation at the market of dairy products. Slovakia with the total of 826 thousand tons produces less than 1% of the total EU milk production (Table <xref ref-type="table" rid="T2">2</xref>). Russia, despite the total country size, in 2017 produced only more than 31 million tons of milk. While more than 154 million tons of milk was produced in the European Union. Despite this, the dairy industry is of particular importance for the economy and population of Russia. More than 21 thousand organizations and more than 1.2 million people work in the dairy industry and related industries. Milk and dairy products make up 15% of the turnover of retail chains. Strong investments from foreign enterprises, as well as government support in the form of subsidies and loans made Russia one of the world&#x27;s largest producers of milk and dairy products worldwide. However, it has a fairly low share of marketable milk in total production (57%), and by the efficiency of dairy cows it loses more than twice to developed countries. But, Russian milk production is increasing constantly. Starting before the imposition of an embargo on the import of food and beverages in 2014, Russian dairy production grew on average by 4% per year. In 2017 was recorded a new high level when it exceeded 11.1 million tons of dairy products. Between 2015 and 2017, growth was especially sharp and volume of production increased by 15%. Production growth slowed to 3% in 2018 (<xref ref-type="bibr" rid="b24">Rosstat, 2019</xref>), but the impulse is still ongoing.</p>
            <table-wrap id="T1" position="float">
                <label>Table 1</label>
                <caption>
                    <p>Economic performance of Russia and Slovakia (as a part of European Union) in 2017.</p>
                </caption>
                <table frame="hsides" rules="none" width="100%">
                    <thead>
                        <tr>
                            <th/>
                            <th>Russia</th>
                            <th>Slovakia</th>
                            <th>EU</th>
                        </tr>
                        <tr>
                            <th colspan="4">
                                <hr/>
                            </th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr align="center">
                            <td align="left"><bold>GDP per capita/USD</bold></td>
                            <td>11 441</td>
                            <td>19 897</td>
                            <td>36 593</td>
                        </tr>
                        <tr align="center">
                            <td align="left"><bold>Area/km<sup>2</sup></bold></td>
                            <td>17 125 200</td>
                            <td>49 036</td>
                            <td>4 475 757</td>
                        </tr>
                        <tr align="center">
                            <td align="left"><bold>Population/millions</bold></td>
                            <td>144.5</td>
                            <td>5.4</td>
                            <td>513</td>
                        </tr>
                        <tr align="center">
                            <td align="left"><bold>Average income per capita/EUR</bold></td>
                            <td>685</td>
                            <td>1096</td>
                            <td>1.520</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <fn id="T1FN1">
                        <p>Note: Source: Own processing based on the World Bank (2019).</p>
                    </fn>
                </table-wrap-foot>
            </table-wrap>
            <table-wrap id="T2" position="float">
                <label>Table 2</label>
                <caption>
                    <p>Selected indicators of milk production in Russia and Slovakia (as a part of European Union), 2007   2017.</p>
                </caption>
                <table frame="hsides" rules="none" width="100%">
                    <tbody>
                        <tr align="center">
                            <td colspan="12" align="left"><bold>RUSSIA .</bold></td>
                        </tr>
                        <tr align="center">
                            <td colspan="12"><hr/></td>
                        </tr>
                        <tr align="center">
                            <td/>
                            <td>2007</td>
                            <td>2008</td>
                            <td>2009</td>
                            <td>2010</td>
                            <td>2011</td>
                            <td>2012</td>
                            <td>2013</td>
                            <td>2014</td>
                            <td>2015</td>
                            <td>2016</td>
                            <td>2017</td>
                        </tr>
                        <tr align="center">
                            <td colspan="12"><hr/></td>
                        </tr>
                        <tr align="center">
                            <td align="left">Milk production/thousand tons</td>
                            <td>31998</td>
                            <td>32363</td>
                            <td>32570</td>
                            <td>31847</td>
                            <td>31646</td>
                            <td>31756</td>
                            <td>30529</td>
                            <td>30791</td>
                            <td>30781</td>
                            <td>30759</td>
                            <td>31184</td>
                        </tr>
                        <tr align="center">
                            <td align="left">Dairy cows/thousand heads</td>
                            <td>9320</td>
                            <td>9127</td>
                            <td>9026</td>
                            <td>8844</td>
                            <td>8976</td>
                            <td>8859</td>
                            <td>8661</td>
                            <td>8531</td>
                            <td>8379</td>
                            <td>8250</td>
                            <td>8200</td>
                        </tr>
                        <tr align="center">
                            <td align="left">Milk yield per cow per kg</td>
                            <td>3433</td>
                            <td>3546</td>
                            <td>3608</td>
                            <td>3601</td>
                            <td>3526</td>
                            <td>3585</td>
                            <td>3525</td>
                            <td>3609</td>
                            <td>3674</td>
                            <td>3728</td>
                            <td>3803</td>
                        </tr>
                        <tr align="center">
                            <td colspan="12"><hr/></td>
                        </tr>
                        <tr align="center">
                            <td colspan="12" align="left">SLOVAKIA</td>
                        </tr>
                        <tr align="center">
                            <td colspan="12"><hr/></td>
                        </tr>
                        <tr align="center">
                            <td align="left">Milk production/thousand tons</td>
                            <td>964</td>
                            <td>946</td>
                            <td>852</td>
                            <td>800</td>
                            <td>812</td>
                            <td>851</td>
                            <td>827</td>
                            <td>844</td>
                            <td>865</td>
                            <td>823</td>
                            <td>826</td>
                        </tr>
                        <tr align="center">
                            <td align="left">Dairy cows/thousand heads</td>
                            <td>180</td>
                            <td>174</td>
                            <td>163</td>
                            <td>159</td>
                            <td>154</td>
                            <td>150</td>
                            <td>145</td>
                            <td>143</td>
                            <td>139</td>
                            <td>133</td>
                            <td>130</td>
                        </tr>
                        <tr align="center">
                            <td align="left">Milk yield per cow/kg</td>
                            <td>5351</td>
                            <td>5439</td>
                            <td>5245</td>
                            <td>5023</td>
                            <td>5266</td>
                            <td>5665</td>
                            <td>5706</td>
                            <td>5897</td>
                            <td>6210</td>
                            <td>6204</td>
                            <td>6360</td>
                        </tr>
                        <tr align="center">
                            <td colspan="12"><hr/></td>
                        </tr>
                        <tr align="center">
                            <td colspan="12" align="left">EU</td>
                        </tr>
                        <tr align="center">
                            <td colspan="12"><hr/></td>
                        </tr>
                        <tr align="center">
                            <td align="left">Milk production/thousand tons</td>
                            <td>133812</td>
                            <td>135281</td>
                            <td>133700</td>
                            <td>135528</td>
                            <td>138859</td>
                            <td>139951</td>
                            <td>141247</td>
                            <td>147847</td>
                            <td>151632</td>
                            <td>153275</td>
                            <td>154792</td>
                        </tr>
                        <tr align="center">
                            <td align="left">Dairy cows/thousand heads</td>
                            <td>24287</td>
                            <td>24406</td>
                            <td>23871</td>
                            <td>23314</td>
                            <td>23053</td>
                            <td>23193</td>
                            <td>23468</td>
                            <td>23559</td>
                            <td>23594</td>
                            <td>23525</td>
                            <td>23311</td>
                        </tr>
                        <tr align="center">
                            <td align="left">Milk yield per cow/kg</td>
                            <td>5510</td>
                            <td>5543</td>
                            <td>5601</td>
                            <td>5813</td>
                            <td>6024</td>
                            <td>6034</td>
                            <td>6019</td>
                            <td>6276</td>
                            <td>6427</td>
                            <td>6515</td>
                            <td>6640</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <fn id="T2FN1">
                        <p>Note: Source: own processing based on data of SUSR (2019), <xref ref-type="bibr" rid="b8">Eurostat (2019)</xref> and <xref ref-type="bibr" rid="b24">Rosstat (2019)</xref></p>
                    </fn>
                </table-wrap-foot>
            </table-wrap>
            <p>Nowadays after the change in the approach of Common Agricultural Policy (CAP) milk quotas in EU gradually disappeared (after 2009) and milk production rapidly increased (in 2015) with the simultaneous decrease in price.</p>
            <p>Milk production in Slovakia decreased by 15% from 2007 to 2017 and farmers do not cover domestic consumption of milk and dairy products. Situation is not caused just by low purchase prices for milk, but lower subsidies for Slovak farmers in comparison with farmers from other member states as well.</p>
            <p>Consequently, Slovak dairy sector is able to produce just the 251,000 tons of drinking milk, 4,000 tons of milk powder, 9,000 tons of butter and 38,000 tons of cheese (<xref ref-type="bibr" rid="b8">Eurostat, 2019</xref>). On the other hand, the dairy industry in Russia is capable of fully cover all major commodity groups as: 9.2 million tons of liquid milk, 935 thousand tons of cheese, 260 thousand tons of butter, 68 thousand tons of nonfat dry milk and 60 000 tons of whole milk powder. Despite the fact that the production of dairy products with high milk content increased – cheeses and cheese products (8.5%), butter (7.1%) and dry milk (28.8%), the production of milk, fermented dairy products and cottage cheese decreased (3.1%, 5.8% and 1.7%, respectively). This decrease possibly creates market niche for foreign producers and traders. Despite fact, that Slovak producers do not cover domestic consumption, penetrating of Russian market can be solid long term opportunity for them. Since Slovak market is covered by foreign producers from other EU member states with competitive advantage of higher support, market distortions could lead Slovak producers to biggest growing Eastern markets. As states <xref ref-type="bibr" rid="b7">Esmerino et al. (2017)</xref> even with their limited financial and human resources, they can focuse on new consumer markets and by using effective strategy, introduce their products with a minimal risk of failure.</p>
            <p>This movement is also supported by the development of prices (Figure <xref ref-type="fig" rid="F1">1</xref>) which are following the same trends in Slovakia and Russia, but prices in Russia remain steadily higher ever since 2010. In Slovakia an increasing milk production, associated with the end of milk quotas, resulted in a marked decline in the milk price index. In addition, Slovaks have been for a long time Europe&#x27;s weakest milk consumers.</p>
            <fig id="F1" position="float">
                <label>Figure 1</label>
                <caption>
                    <p>Development of milk prices in EUR.100kg<sub>-1</sub>, 2007 – 2017. Note: Source: Own processing based on data of <xref ref-type="bibr" rid="b26">SÚSR (2019)</xref> and <xref ref-type="bibr" rid="b24">Rosstat (2019)</xref>.</p>
                </caption>
                <graphic xlink:href="PSJFS-13-1-720_F1.jpg"/>
            </fig>
            <p>Not only, the average Slovak drank only half of recommended 220 kilograms per year, per capita consumption here decrease from 71.5 liters in 1996 to 45.1 litres in 2016. On the contrary, in the case of cheese consumption, there was a significant increase in consumption (from 8.1 kg to 13.9 kg) and Slovaks exceed the recommended rational consumption norms (RCN) (Table <xref ref-type="table" rid="T3">3</xref>). In Russia, devaluation risks and difficult economic situation in the country led to a decrease in the purchasing power of the population and an increase in the cost of production of dairy products in 2015 – 2016. And the consumption of dairy products in recent years is here also decreasing. In 1990 the average level of consumption of dairy products was 387 kg per person yearly, while by 2015 this number dropped to 239 kg per person in year. These values are above Slovak RCN, but Russian recommended medical norm is set on 325 kg per person per year, which creates possibility for increased consumption. In the field of dairy products, the import of dairy products and cheese annually exceeds their exports in Slovakia since 2009. While in 2016, Slovakia imported dairy products and cheese in the amount of 307 million EUR from abroad, exports amounted to 232 million EUR. However, the biggest problem for Slovakia is that only a third of the butter and cheese that can be bought in stores is made locally. The level of self-sufficiency in this area is high, but in reality foreign dairy products prevailon Slovak market. On the orher hand Slovak dairy products are exported to several countries, most of which are EU members, 25% of all exports to Hungary, another 20% to the Czech Republic, almost 18% to Germany and 15% to Italy. The remaining 35 countries account for 8% of total exports.</p>
            <table-wrap id="T3" position="float">
                <label>Table 3</label>
                <caption>
                    <p>Per capita consumption of milk and dairy products in kg.year-1, 2007 – 2016.</p>
                </caption>
                <table frame="hsides" rules="none" width="100%">
                    <thead>
                        <tr>
                            <th>
                            </th>
                            <th>RCN</th>
                            <th>2007</th>
                            <th>2008</th>
                            <th>2009</th>
                            <th>2010</th>
                            <th>2011</th>
                            <th>2012</th>
                            <th>2013</th>
                            <th>2014</th>
                            <th>2015</th>
                            <th>2016</th>
                        </tr>
                        <tr>
                            <th colspan="12">
                                <hr/>
                            </th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr align="center">
                            <td align="left"><bold>Slovakia</bold></td>
                            <td>220</td>
                            <td>153</td>
                            <td>153</td>
                            <td>154</td>
                            <td>163</td>
                            <td>159</td>
                            <td>159</td>
                            <td>158</td>
                            <td>167</td>
                            <td>169</td>
                            <td>177</td>
                        </tr>
                        <tr align="center">
                            <td align="left"><bold>Russia</bold></td>
                            <td>325</td>
                            <td>242</td>
                            <td>242</td>
                            <td>244</td>
                            <td>247</td>
                            <td>246</td>
                            <td>249</td>
                            <td>248</td>
                            <td>244</td>
                            <td>239</td>
                            <td>239</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <fn id="T3FN1">
                        <p>Note: Source: Own processing based on data of SUSR (2019) and <xref ref-type="bibr" rid="b24">Rosstat (2019)</xref>. RCN – Rational consumption norms.</p>
                    </fn>
                </table-wrap-foot>
            </table-wrap>
            <p>The introduction of the embargo contributed to a significant reduction in import volumes of dairy products into Russia. For the period from September to December 2014, the volume of imports of dairy products decreased by 27.3%, to 2.540 thousand tons. At the same time, countries that previously provided up to 38% (2013) of all imports left the Russian market. Among them for example Finland (butter and cheese), the Netherlands (cheese), Germany (cheese and cheese-like products), Lithuania (cheese), Poland (cheese), France (butter, cheese, whey), etc. The overall volume of imported goods fell from 9.4 million tons to 7 million tons per year.</p>
            <p>The embargo also affected the export side, since export of milk and dairy products increased from 639 thousand tons in 2013 to 743 tons in 2016. The adoption of the Food Security Doctrine in Russia has also influenced the international trade of the country. Its task is to provide 90% of domestic consumption with its own products for the dairy industry. In 2013, the indicator of security of dairy industry was on the level of 76% and the indicator for commodity milk separately was lower than 66%. These results recommend hard possibility of penetration into the Russian market for foreign producers but, considering its size and possibilities it offers, this effort is highly forwarded. By 2025, the Russian dairy market is expected to reach 34.56 billion dollars. In addition, per capita income growth and increased consumption of dairy products due to health benefits are likely to contribute to the development of the market in the future. Investments into processing capacities of milk and dairy products would be effective not just in connection with the possibility of penetrating foreign (Russian) market. The volume of dairy products in the Slovak market by 2021 expects to reach 398 million kg.</p>
            <p>The composition of respondents by gender in Slovakia shows that three quarters of respondents were women who are probably more concerned with this issue and also buy food products more often than men. Specifically, 152 women and 52 men living in Slovakia answered to the questions in the questionnaire.</p>
            <p>In Russia, higher percentage of men responded to the questionnaire in comparison with Slovakia. Up to 38% of respondents – 40 men from Russia – participated in the survey. The remaining 62% were women. For many questions, the Figures <xref ref-type="fig" rid="F2">2</xref> – Figure <xref ref-type="fig" rid="F9">9</xref> show the differences between the responses of women and men.</p>
            <fig id="F2" position="float">
                <label>Figure 2</label>
                <caption>
                    <p>Answers to the Question 1: How often do you buy dairy products (SK answers). Note: Source:Own </p>
                </caption>
                <graphic xlink:href="PSJFS-13-1-720_F2.jpg"/>
            </fig>
            <p>Figure <xref ref-type="fig" rid="F2">2</xref> and Figure <xref ref-type="fig" rid="F3">3</xref> shows frequency of purchases of dairy products by respondents, with possibility to see differences between genders. In Slovakia, 61% of all respondents buy dairy products several times a week, 27% once a week and 10% daily. The remaining 2% buy dairy products less frequently. However, differences can be seen between men and women. The biggest difference between answers of man and woman can be seen in case of answer &#x201C;daily&#x201D;, when woman buy dairy products by 60% more daily than men. In Russia, almost half of respondents buy dairy products at least a few times a week. 29% of respondents buy dairy products even every day and 13% once a week. The remaining 11% of respondents buy dairy products less frequently or do not purchase them at all. All these groups are men. Thus, even in Russia, women tend to buy dairy products more often. Overall, at such a high frequency of purchases of dairy products, our respondents should have a good overview of market supply, prices and trends.</p>
            <fig id="F3" position="float">
                <label>Figure 3</label>
                <caption>
                    <p>Answers to the Question 1: How often do you buy dairy products (RU answers). Note: Source:Own Processing.</p>
                </caption>
                <graphic xlink:href="PSJFS-13-1-720_F3.jpg"/>
            </fig>
            <p>In Slovakia, the largest proportion of respondents which is 72% prefers dairy products produced in Slovakia. 27.5% of respondents do not distinguish between Slovak dairy products and those imported into the country (Figure <xref ref-type="fig" rid="F4">4</xref>). Only one respondent prefers products of foreign origin. There was a difference between preferences of men and women. While 55% of women prefer Slovak products and the rest do not make a difference between products of different origins, for men only 16% prefer Slovak products, one questioned men prefers foreign products and the rest of them don&#x2019;t distinguish the origin. Therefore, the preference of Slovak products could be an advantage for domestic producers.</p>
            <fig id="F4" position="float">
                <label>Figure 4</label>
                <caption>
                    <p>Answers to the Question 2: What kind of dairy origin do you prefer (SK answers)&#x3F; Note: Source: Own processing</p>
                </caption>
                <graphic xlink:href="PSJFS-13-1-720_F4.jpg"/>
            </fig>
            <p>In Russia, most respondents also prefer products made in Russia – 60% of respondents (Figure <xref ref-type="fig" rid="F5">5</xref>). The number of people preferring foreign products is higher compared to Slovakia. More than 15% of Russian customers prefer dairy products of foreign origin. Especially men are more inclined to foreign products. The remaining 25% of respondents do not distinguish where the product comes from. This creates space for importers and possible opportunity for Slovak companies to deliver their products to Russian market.</p>
            <fig id="F5" position="float">
                <label>Figure 5</label>
                <caption>
                    <p>Answers to the Question 2: What kind of dairy origin do you prefer (RU answers)&#x3F; Note: Source: Own processing.</p>
                </caption>
                <graphic xlink:href="PSJFS-13-1-720_F5.jpg"/>
            </fig>
            <p>Currently, over 70% of Slovak respondents consider prices of dairy products to be high, which is 144 respondents. 26% of respondents consider prices as reasonable and only 3% as low. However, women hardly consider prices to be low. Only one woman chose this option in questionnaire. 27% of women perceive prices as reasonable and the remaining 72% think prices are high. On the other hand, 10% of men consider prices of dairy products as low, two-thirds of men as high and the remaining 23% think prices are reasonable. However, consumers&#x27; perception of prices is largely influenced by their income (Figure <xref ref-type="fig" rid="F6">6</xref>). In Russia, 70% of respondents consider the prices of dairy products to be high. The remaining 30% consider them as reasonable. However, none of the respondents perceives the prices as low (Figure <xref ref-type="fig" rid="F7">7</xref>).</p>
            <fig id="F6" position="float">
                <label>Figure 6</label>
                <caption>
                    <p>Answers to the Question 3: What do you think about the prices of milk and dairy products (SK answers)&#x3F; answers)&#x3F; Note: Source: Own processing</p>
                </caption>
                <graphic xlink:href="PSJFS-13-1-720_F6.jpg"/>
            </fig>
            <fig id="F7" position="float">
                <label>Figure 7</label>
                <caption>
                    <p>Answers to the Question 3: What do you think about the prices of milk and dairy products (RU answers)&#x3F; Note: Source: Own processing</p>
                </caption>
                <graphic xlink:href="PSJFS-13-1-720_F7.jpg"/>
            </fig>
            <p>For Slovak consumers, the quality of the dairy product they purchase is the most important factor. Nearly 40% of them, which is 81 interviewers, who choose this option. The second most frequently chosen factor was taste, selected by 49 respondents, which is 24%, followed by composition, which is 15%. Price was the fourth most frequently chosen factor, chosen by 14% of respondents. Only 15 respondents chose the origin of the product, which is 7%. There is a big difference between men and women in two factors: quality and taste. The most important factor for Slovak woman and man was quality followed by taste. Their preferences are different in case of next mostly preferred factor, which women consider as composition and men price. The least answered factor for chosen dairy products for women was origin and composition for men. According to the results of the survey, the majority of Slovak respondents appreciate if the product is of high quality, it is tasty, has the appropriate composition and origin of production (Figure <xref ref-type="fig" rid="F8">8</xref>).</p>
            <fig id="F8" position="float">
                <label>Figure 8</label>
                <caption>
                    <p>Answers to the Question 4: What is the most important factor for you when choosing a dairy brand (SK answers)&#x3F; Note: Source: Own processing.</p>
                </caption>
                <graphic xlink:href="PSJFS-13-1-720_F8.jpg"/>
            </fig>
            <p>Also in Russia, the most important factor was the quality of the product, which was selected by 40% of respondents. This was followed by the taste and composition of the product chosen by 20 respondents, which is 19.23%. Only six respondents have chosen the origin of the product. It is also possible to see compliance between Russian women and men. While 30% of men chose the product&#x27;s quality as the most important factor, also 43.75% of women chose the same factor. On the contrary, 21.88% of women chose the price of the product as the most important factor, but only 5% of men. The composition of the product was also more important for men, while the overall quality of the product for women. From the founded similarities between Slovak and Russian respondents we can recommend for Slovak exporters to Russian market to copy the gender approach to Slovak market at Russian market as well (Figure <xref ref-type="fig" rid="F9">9</xref>).</p>
            <fig id="F9" position="float">
                <label>Figure 9</label>
                <caption>
                    <p>Answers to the Question 4: What is the most important factor for you when choosing a dairy brand&#x3F; (RU answers)&#x3F; Note: Source: Own processing.</p>
                </caption>
                <graphic xlink:href="PSJFS-13-1-720_F9.jpg"/>
            </fig>
            <p>For the statistical evaluation firstly Kruskal-Wallis test on the sample of Slovak respondents and consequently also on Russian sample was used (Table <xref ref-type="table" rid="T4">4</xref>). The results of the analysis of the 203 samples for Slovakia already described above were proved by calculated means and the significance of the variables were verified by Kruskal-Wallis test. From its <italic>p</italic>-value (Table <xref ref-type="table" rid="T5">5</xref>) we can see this as highly significant. Therefore, we have accepted alternative hypothesis, and thus there is a dependency between the most important variables for choosing a brand of dairy products and gender of the respondents.</p>
            <table-wrap id="T4" position="float">
                <label>Table 4</label>
                <caption>
                    <p>Summary statistics for Slovakian respondents and Kruskal-Wallis test.</p>
                </caption>
                <table frame="hsides" rules="none" width="100%">
                    <thead>
                        <tr>
                            <th>Variable</th>
                            <th>Observations</th>
                            <th>Minimum</th>
                            <th>Maximum</th>
                            <th>Mean</th>
                            <th>Std. deviation</th>
                            <th>Kruskal-Wallis test:</th>
                            <th/>
                        </tr>
                        <tr>
                            <th colspan="8">
                                <hr/>
                            </th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td><bold>Gender</bold></td>
                            <td>203</td>
                            <td>0.000</td>
                            <td>1.000</td>
                            <td>0.251</td>
                            <td>0.435</td>
                            <td>K (Observed value)</td>
                            <td>512.284</td>
                        </tr>
                        <tr>
                            <td><bold>1. Frequency</bold></td>
                            <td>203</td>
                            <td>1.000</td>
                            <td>5.000</td>
                            <td>2.236</td>
                            <td>0.713</td>
                            <td>K (Critical value)</td>
                            <td>9.488</td>
                        </tr>
                        <tr>
                            <td><bold>2. Origin</bold></td>
                            <td>203</td>
                            <td>1.000</td>
                            <td>3.000</td>
                            <td>1.557</td>
                            <td>0.896</td>
                            <td>DF</td>
                            <td>4</td>
                        </tr>
                        <tr>
                            <td><bold>3. Price</bold></td>
                            <td>203</td>
                            <td>1.000</td>
                            <td>3.000</td>
                            <td>2.232</td>
                            <td>0.488</td>
                            <td><italic>p</italic>-value (Two-tailed)</td>
                            <td><bold>&#x003C;0.0001</bold></td>
                        </tr>
                        <tr>
                            <td><bold>4. Factor</bold></td>
                            <td>203</td>
                            <td>1.000</td>
                            <td>5.000</td>
                            <td>2.443</td>
                            <td>1.407</td>
                            <td>alpha</td>
                            <td>0.05</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <fn id="T4FN1">
                        <p>Note: Source: Own processing.</p>
                    </fn>
                </table-wrap-foot>
            </table-wrap>
            <table-wrap id="T5" position="float">
                <label>Table 5</label>
                <caption>
                    <p>
                        <italic>p</italic>-values: Bonferroni corrected significance level: 0.005, Slovakia.</p>
                </caption>
                <table frame="hsides" rules="none" width="100%">
                    <thead>
                        <tr>
                            <th/>
                            <th>Gender</th>
                            <th align="right">1. Frequency</th>
                            <th align="right">2. Origin</th>
                            <th align="right">3. Price</th>
                            <th align="right">4. Factor</th>
                        </tr>
                        <tr>
                            <th colspan="6">
                                <hr/>
                            </th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td><bold>Gender</bold></td>
                            <td align="right">1</td>
                            <td align="right"><bold>&#x003C;0.0001</bold></td>
                            <td align="right"><bold>&#x003C;0.0001</bold></td>
                            <td align="right"><bold>&#x003C;0.0001</bold></td>
                            <td align="right"><bold>&#x003C;0.0001</bold></td>
                        </tr>
                        <tr>
                            <td><bold>1. Frequency</bold></td>
                            <td align="right"><bold>&#x003C;0.0001</bold></td>
                            <td align="right">1</td>
                            <td align="right"><bold>&#x003C;0.0001</bold></td>
                            <td align="right">0.725</td>
                            <td align="right">0.622</td>
                        </tr>
                        <tr>
                            <td><bold>2. Origin</bold></td>
                            <td align="right"><bold>&#x003C;0.0001</bold></td>
                            <td align="right"><bold>&#x003C;0.0001</bold></td>
                            <td align="right">1</td>
                            <td align="right"><bold>&#x003C;0.0001</bold></td>
                            <td align="right"><bold>&#x003C;0.0001</bold></td>
                        </tr>
                        <tr>
                            <td><bold>3. Price</bold></td>
                            <td align="right"><bold>&#x003C;0.0001</bold></td>
                            <td align="right">0.725</td>
                            <td align="right"><bold>&#x003C;0.0001</bold></td>
                            <td align="right">1</td>
                            <td align="right">0.399</td>
                        </tr>
                        <tr>
                            <td><bold>4. Factor</bold></td>
                            <td align="right"><bold>&#x003C;0.0001</bold></td>
                            <td align="right">0.622</td>
                            <td align="right"><bold>&#x003C;0.0001</bold></td>
                            <td align="right">0.399</td>
                            <td align="right">1</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <fn id="T5FN1">
                        <p>Note: Source: Own processing.</p>
                    </fn>
                </table-wrap-foot>
            </table-wrap>
            <p>From the multiple comparison of selected variables using Bonferroni correction, we can see the significance between gender and every included variable. According to this we can conclude, that gender has significant impact on the answers concerned with the preferences of buying dairy products in Slovakia. Also there are significant differences between the selected questions and surprisingly we can see connection of origin and all the other variables.</p>
            <p>From the statistics for Russian respondents the significance according to Kruskal-Wallis <italic>p</italic>-value was also proved and we accept H1, which shows a dependence of chosen variables to gender (Table <xref ref-type="table" rid="T6">6</xref>). Significant importance is seen from the <italic>p</italic>-values (Table <xref ref-type="table" rid="T7">7</xref>) of Bonferroni correction in the question of origin. This can indicate that the Russian market can be more open to the foreign producers of dairy products. Outcomes mean, that for both Slovak and Russian market the strategy should be aimed regarding to gender and thus, the similar competitive marketing strategy (<xref ref-type="bibr" rid="b30">Valdani and Arbore, 2015</xref>) can be used on both markets.</p>
            <table-wrap id="T6" position="float">
                <label>Table 6</label>
                <caption>
                    <p>Summary statistics for Rusian respondents and Kruskal-Wallis test.</p>
                </caption>
                <table frame="hsides" rules="none" width="100%">
                    <thead>
                        <tr>
                            <th>Variable</th>
                            <th>Observations</th>
                            <th>Minimum</th>
                            <th>Maximum</th>
                            <th>Mean</th>
                            <th>Std. deviation</th>
                            <th>Kruskal-Wallis test:</th>
                            <th>
                            </th>
                        </tr>
                        <tr>
                            <th colspan="8">
                                <hr/>
                            </th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr align="center">
                            <td align="left"><bold>Gender</bold></td>
                            <td>104</td>
                            <td>0.000</td>
                            <td>1.000</td>
                            <td>0.385</td>
                            <td>0.489</td>
                            <td>K (Observed value)</td>
                            <td>234.058</td>
                        </tr>
                        <tr align="center">
                            <td align="left"><bold>1. Frequency</bold></td>
                            <td>104</td>
                            <td>1.000</td>
                            <td>5.000</td>
                            <td>2.115</td>
                            <td>1.036</td>
                            <td>K (Critical value)</td>
                            <td>9.488</td>
                        </tr>
                        <tr align="center">
                            <td align="left"><bold>2. Origin</bold></td>
                            <td>104</td>
                            <td>1.000</td>
                            <td>3.000</td>
                            <td>1.654</td>
                            <td>0.856</td>
                            <td>DF</td>
                            <td>4</td>
                        </tr>
                        <tr align="center">
                            <td align="left"><bold>3. Price</bold></td>
                            <td>104</td>
                            <td>2.000</td>
                            <td>3.000</td>
                            <td>2.308</td>
                            <td>0.464</td>
                            <td>
<italic>p</italic>-value (Two-tailed)</td>
                            <td><bold>&#x003C;0.0001</bold></td>
                        </tr>
                        <tr align="center">
                            <td align="left"><bold>4. Factor</bold></td>
                            <td>104</td>
                            <td>1.000</td>
                            <td>5.000</td>
                            <td>2.308</td>
                            <td>1.330</td>
                            <td>alpha</td>
                            <td>0.05</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <fn id="T6FN1">
                        <p>Note: Source: Own processing.</p>
                    </fn>
                </table-wrap-foot>
            </table-wrap>
            <table-wrap id="T7" position="float">
                <label>Table 7</label>
                <caption>
                    <p>
                        <italic>p</italic>-values: Bonferroni corrected significance level: 0.005, Russia</p>
                </caption>
                <table frame="hsides" rules="none" width="100%">
                    <thead>
                        <tr>
                            <th>
                            </th>
                            <th>Gender</th>
                            <th>1. Frequency</th>
                            <th>2. Origin</th>
                            <th>3. Price</th>
                            <th>4. Factor</th>
                        </tr>
                        <tr>
                            <th colspan="6">
                                <hr/>
                            </th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr align="center">
                            <td align="left"><bold>Gender</bold></td>
                            <td>1</td>
                            <td><bold>&#x003C;0.0001</bold></td>
                            <td><bold>&#x003C;0.0001</bold></td>
                            <td><bold>&#x003C;0.0001</bold></td>
                            <td><bold>&#x003C;0.0001</bold></td>
                        </tr>
                        <tr align="center">
                            <td align="left"><bold>1. Frequency</bold></td>
                            <td><bold>&#x003C;0.0001</bold></td>
                            <td>1</td>
                            <td><bold>0.004</bold></td>
                            <td>0.019</td>
                            <td>0.694</td>
                        </tr>
                        <tr align="center">
                            <td align="left"><bold>2. Origin</bold></td>
                            <td><bold>&#x003C;0.0001</bold></td>
                            <td><bold>0.004</bold></td>
                            <td>1</td>
                            <td><bold>&#x003C;0.0001</bold></td>
                            <td><bold>0.001</bold></td>
                        </tr>
                        <tr align="center">
                            <td align="left"><bold>3. Price</bold></td>
                            <td><bold>&#x003C;0.0001</bold></td>
                            <td>0.019</td>
                            <td><bold>&#x003C;0.0001</bold></td>
                            <td>1</td>
                            <td>0.050</td>
                        </tr>
                        <tr align="center">
                            <td align="left"><bold>4. Factor</bold></td>
                            <td><bold>&#x003C;0.0001</bold></td>
                            <td>0.694</td>
                            <td><bold>0.001</bold></td>
                            <td>
<bold>0.050</bold></td>
                            <td>1</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <fn id="T7FN1">
                        <p>Note: Source: Own processing.</p>
                    </fn>
                </table-wrap-foot>
            </table-wrap>
        </sec>
        <sec sec-type="conclusion">
            <title>CONCLUSION</title>
            <p>Analysis of the survey on 104 Russian and 203 Slovak respondents showed that the sample of respondents was diverse enough to show their overview of market supply, prices and trends. In both countries women tend to buy dairy products more often than men. Slovak consumers prefer more domestic products and this trend is also noticeable in Russia but not as significantly as in Slovakia. For 70% of consumers in both countries the price of dairy products was high and almost the same percentage of Slovak and Russian respondents consider them as reasonable. Despite the fact that majority of respondents consider price as high, the price is not the most important factor when choosing dairy products. In Slovakia for both genders the price is even on a fourth position behind quality as first, followed by taste and composition. In Russia the same order of preferred factors can be seen, but considering gender separately, Russian women don&#x2019;t copy the overall order, and after quality the price was second most frequent answer.</p>
            <p>The fact that most Slovak consumers prefer domestic dairy products, results in support of domestic producers. Despite the same preferences in Russia, but slightly less significant, in both countries the origin was chosen as the last option. This can be used for benefit of Slovak producers who can export their dairy products to Russian market.</p>
            <p>Based on this outcomes, the hypothesis that gender has significant impact on the answers concerned with the preferences of buying dairy products was set. The Kruskal-Wallis test proved the dependence of chosen variables by gender for both countries. When comparing the differences between selected questions we can see the connection of origin with all the other variables. Our results indicate the same importance of origin and gender as a key factors for respondents to buy dairy products. The implementation of this fact to the marketing strategy would mean that the advertising shouldn&#x2019;t be aimed just on the gender, but the domestic origin should be highlighted too. According this, it can be recommended, that the same marketing strategy of producers used in Slovakia can be applied without major changes also on the Russian market. Last but not least, it is very important to take gender into consideration and form this universal marketing strategy with the focus on man and woman separately.</p>
        </sec>
    </body>
    <back>
        <ack>
            <title>Acknowledgments:</title>
            <p>The paper is part of the project KEGA 005SPU-4/2019 &#x22;Theory and Practice of the International Management and Entrepreneurship in the Multicultural Environment&#x22; conducted at the Department of Management at the Faculty of Economics and Management of the Slovak University of Agriculture in Nitra.
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