<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">JSSM</journal-id><journal-title-group><journal-title>Journal of Service Science and Management</journal-title></journal-title-group><issn pub-type="epub">1940-9893</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/jssm.2016.95041</article-id><article-id pub-id-type="publisher-id">JSSM-71128</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Business&amp;Economics</subject></subj-group></article-categories><title-group><article-title>
 
 
  The Effect of Gender Differences on the Choice of Banking Services
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Enav</surname><given-names>Friedmann</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Oded</surname><given-names>Lowengart</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Bar Ilan University, Ramat Gan, Israel</addr-line></aff><aff id="aff2"><addr-line>Ben Gurion University, Beer Sheva, Israel</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>friedme5@biu.ac.il(EF)</email>;<email>odedl@bgu.ac.il(OL)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>27</day><month>09</month><year>2016</year></pub-date><volume>09</volume><issue>05</issue><fpage>361</fpage><lpage>377</lpage><history><date date-type="received"><day>August</day>	<month>15,</month>	<year>2016</year></date><date date-type="rev-recd"><day>Accepted:</day>	<month>October</month>	<year>7,</year>	</date><date date-type="accepted"><day>October</day>	<month>10,</month>	<year>2016</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
   
   This paper presents a conceptual framework based on the evolutionary theory to explain gender differences when considering the saliency of various attributes in choosing a banking service. Unlike most studies that examined the importance of these attributes by asking respondents to rate them, we assessed the saliency of the attributes indirectly in a choice task among five real banks, hence examined the gender differences in a realistic choices process. Results from both studies supported hypotheses based on evolutionary theory in that functional considerations such as cost were more important for men than for women, while other service characteristics were salient for both genders. Implications for marketing strategies that target men and women differently are discussed. 
  
 
</p></abstract><kwd-group><kwd>Psychological Gender Differences</kwd><kwd> Bank Choice Process</kwd><kwd> Cost</kwd><kwd>  Personal Service</kwd><kwd> Evolutionary Theory</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Many service industries compete in the marketplace with relatively undifferentiated products. In order to maintain a competitive advantage, services need to improve their understanding of the wants and needs of different demographic groups and tailor the right value proposition to. Nevertheless, studies about the choice of banks based on their services have produced conflicting conclusions [<xref ref-type="bibr" rid="scirp.71128-ref1">1</xref>] . Some found no gender differences in the criteria used to select a bank [<xref ref-type="bibr" rid="scirp.71128-ref2">2</xref>] - [<xref ref-type="bibr" rid="scirp.71128-ref4">4</xref>] , while others established that some features such as costs were more important to men [<xref ref-type="bibr" rid="scirp.71128-ref5">5</xref>] - [<xref ref-type="bibr" rid="scirp.71128-ref7">7</xref>] , whereas women focused on other services [<xref ref-type="bibr" rid="scirp.71128-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.71128-ref9">9</xref>] . Assuming cost is an issue important to both genders. Banks often show their customers the costs for having an account in their bank either through comparative advertisements or third party publications (see Appendix A and Appendix B). For example, C. Bank illustrates the difference between the accrued costs for customers for having a checking account in different banks, emphasizing that there is a significant difference between their bank and other alternatives (see Appendix A). Given that the costs of having a checking account are not only the bank’s fixed charges but also include activity-based charges, customers pay additional fees when depositing or withdrawing their money. Similarly, W. Bank’s advertisement (see Appendix B) compares the costs associated with money transfers. These two examples provide all consumers with the factual information needed to make a rational decision that presumably fits their needs. In contrast, Appendix C and Appendix D present different arguments for the potential benefits of having a checking account, while both mention the benefits of the low costs and personal service of D. Bank (in the small letters). Appendix C’s example is directed to men and highlights a rational approach to decision making by indicating the growth potential of the account. The example in Appendix D, however, is directed at women and emphasizes personal attention and affective aspects of the bank’s services as opposed to stressing the arithmetic of the costs or focusing on the financial growth of the business.</p><p>These examples underscore an important dilemma for marketing managers in such service industries. Should they focus on a single area of their service such as low costs that benefits all customers or adopt a differentiated strategy that highlights different benefits for different gender segments? The answer to this question affects resource allocation and the effectiveness of the marketing strategy.</p><p>The purpose of this paper is to address this dilemma by providing a theoretical and empirical analysis of gender differences in choosing a financial service product such as a checking account. To resolve the conflicting results of previous studies, we use the evolutionary theory of men as hunters and women as gatherers to identify gender differences in the decision-making process with salient attributes leading to real choices rather than concentrating solely on the outcome or the order of importance of the factors when evaluating a single bank. We test our proposed approach using a descriptive field study in a choice context and an experimental study.</p></sec><sec id="s2"><title>2. Theoretical Background</title><p>There are dozens of studies about the criteria people use to choose a bank. However, there are a limited number of comprehensive theories that explain the expected pattern of differences. Gender is often used as an easy segmentation tool, because marketing by gender is relatively simple, and the resulting segments are large enough to be profitable [<xref ref-type="bibr" rid="scirp.71128-ref10">10</xref>] . Using the evolutionary theory to explain the pattern of differences, we propose that men as hunters will focus on attributes such as costs, and women as gatherers who are more experientially and environmentally oriented, will focus on other aspects of the service such as the courtesy of the employees, and personal or professional service.</p><sec id="s2_1"><title>2.1. Psychological Differences between the Genders</title><p>The literature abounds with documented biological and sociological differences between men and women [<xref ref-type="bibr" rid="scirp.71128-ref11">11</xref>] . The most prominent and influential work is in the field of sociobiology, which attempts to explain all social behavior by evolution [<xref ref-type="bibr" rid="scirp.71128-ref12">12</xref>] . Studies have also explored the possible relationship between brain differences, sex hormones and behavior [<xref ref-type="bibr" rid="scirp.71128-ref13">13</xref>] . Supporters of this approach attribute gender differences to variations in work roles that evolved over millions of years, leading to changes in the brains of men and women [<xref ref-type="bibr" rid="scirp.71128-ref14">14</xref>] .</p><p>The research has documented differences between the sexes with regard to a number of areas: cognitive (e.g., [<xref ref-type="bibr" rid="scirp.71128-ref15">15</xref>] ), neurological (e.g., [<xref ref-type="bibr" rid="scirp.71128-ref16">16</xref>] ) and sociological (e.g., [<xref ref-type="bibr" rid="scirp.71128-ref17">17</xref>] ). Numerous studies have provided evidence that gender relates to customers’ perceptions, attitudes, and preferences and purchases [<xref ref-type="bibr" rid="scirp.71128-ref18">18</xref>] - [<xref ref-type="bibr" rid="scirp.71128-ref22">22</xref>] . Thus, it is reasonable to assume that evolutionary theory will predict gender differences in the importance they attach to various aspects of a service being offered. In the hunter-gatherer theory, [<xref ref-type="bibr" rid="scirp.71128-ref23">23</xref>] argued that the source of unique, gender-specific characteristics is evolutionary in origin. This evolutionary point of view claims that sex differences originated as a function of the division of labor as hunters and gatherers. Women are considered to be more relational, expressive and contextual, whereas men are independent and stress their competency, task orientation and instrumentality. Therefore, men are “selective processors” who do not engage in comprehensive processing of all available information before making a decision. In contrast, women are “comprehensive processors” who attempt to assimilate all of the available information before rendering a judgment. Hence, women give equal weight to information they gather themselves and from others, encode more messages, and elaborate more extensively on specific claims [<xref ref-type="bibr" rid="scirp.71128-ref24">24</xref>] . Some researchers documented neurological differences stemming from differences in the brain structures, establishing that women process emotions and memories differently from men [<xref ref-type="bibr" rid="scirp.71128-ref25">25</xref>] [<xref ref-type="bibr" rid="scirp.71128-ref26">26</xref>] . In the same manner [<xref ref-type="bibr" rid="scirp.71128-ref16">16</xref>] , claimed that a man’s brain is more lateralized than a woman’s, while in a female brain the corpus callosum that connects the hemispheres is thicker than in a male brain. As a result, women have a more holistic point of view, consider more elements when taking a decision and have greater contextual perception. Men are better at focusing on a target and are less contextual.</p><p>The evolutionary theory receives support from social psychology, which shows that women's self-image is based on the “self-in-relation” due to the importance they attach to the formation and maintenance of relationships [<xref ref-type="bibr" rid="scirp.71128-ref17">17</xref>] . In the same manner, men typically have an independent self-construal, whereas women typically have an interdependent self-construal [<xref ref-type="bibr" rid="scirp.71128-ref27">27</xref>] . Women also have a strong need for social interactions [<xref ref-type="bibr" rid="scirp.71128-ref28">28</xref>] . For example, within a formal online learning environment they send more interactive messages than men do and are more interested in all forms of assistance from others [<xref ref-type="bibr" rid="scirp.71128-ref29">29</xref>] . In the same manner, women are more likely than men to express concern about and responsibility for the well-being of others and less likely than men to support materialism and competition [<xref ref-type="bibr" rid="scirp.71128-ref30">30</xref>] . Recent biological evidence suggests an explanation for the notion of women as more communal by determining that the female hormone progesterone is negatively correlated to competitiveness [<xref ref-type="bibr" rid="scirp.71128-ref31">31</xref>] [<xref ref-type="bibr" rid="scirp.71128-ref32">32</xref>] .</p></sec><sec id="s2_2"><title>2.2. Gender Differences in the Criteria for Selecting a Bank</title><p>[<xref ref-type="bibr" rid="scirp.71128-ref33">33</xref>] points out that gender segmentation has increased as marketers have recognized that women are a lucrative market. Specifically, they realize that decisions about financial services involve both men and women, and financial decisions are sometimes made as a couple [<xref ref-type="bibr" rid="scirp.71128-ref3">3</xref>] . Hence, understanding the differences between males and females about banking services is critical for the bank’s success [<xref ref-type="bibr" rid="scirp.71128-ref1">1</xref>] .</p><p>Earlier research presented conflicting findings regarding the differential importance of personal service as a bank selection criterion. Some researchers have found that women are more concerned about the friendliness of the staff (for example: tellers who smile, feeling at home in the bank, polite bank personnel) [<xref ref-type="bibr" rid="scirp.71128-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.71128-ref34">34</xref>] - [<xref ref-type="bibr" rid="scirp.71128-ref36">36</xref>] . However, other researchers have claimed that men are more concerned about personal attention and service for gaining recognition (personal contact with bank officers, one-on-one communication or contact branch manager and banking by phone) [<xref ref-type="bibr" rid="scirp.71128-ref33">33</xref>] [<xref ref-type="bibr" rid="scirp.71128-ref35">35</xref>] .</p><p>Similar conflicting results were found regarding convenience of the bank. Some research has showed that it is more important for women [<xref ref-type="bibr" rid="scirp.71128-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.71128-ref8">8</xref>] . Other researchers claimed it is more important for men [<xref ref-type="bibr" rid="scirp.71128-ref40">40</xref>] . Finally, some scholars have claimed that convenience is important for both: one stop banking and the ability to bank at any branch for men, and closeness to home or work place and parking facilities for women [<xref ref-type="bibr" rid="scirp.71128-ref35">35</xref>] .</p><p>The results with regard to the relative importance of the safety of one’s funds were also equivocal. [<xref ref-type="bibr" rid="scirp.71128-ref37">37</xref>] determined that this issue was more important for men, [<xref ref-type="bibr" rid="scirp.71128-ref34">34</xref>] found it was particularly important for women, and [<xref ref-type="bibr" rid="scirp.71128-ref38">38</xref>] claimed it was important for both. Similar conflicting results with regard to speedy and efficient service also emerged. Some research found it to be important for both men and women [<xref ref-type="bibr" rid="scirp.71128-ref37">37</xref>] [<xref ref-type="bibr" rid="scirp.71128-ref39">39</xref>] . [<xref ref-type="bibr" rid="scirp.71128-ref38">38</xref>] explained that this issue might be more important to women who still spent more time than men on childcare and were in a rush to finish their financial affairs and head home. Whereas [<xref ref-type="bibr" rid="scirp.71128-ref35">35</xref>] found that women only rated banks based on minimum waiting times, [<xref ref-type="bibr" rid="scirp.71128-ref40">40</xref>] claimed it was an important factor for men as well in choosing a bank.</p><p>In some studies, men were more concerned with service fees than women [<xref ref-type="bibr" rid="scirp.71128-ref5">5</xref>] - [<xref ref-type="bibr" rid="scirp.71128-ref7">7</xref>] . In others, women placed greater emphasis on financial benefits such as interest on saving accounts [<xref ref-type="bibr" rid="scirp.71128-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.71128-ref9">9</xref>] and prioritized channel saving and seeking value from credit card usage [<xref ref-type="bibr" rid="scirp.71128-ref40">40</xref>] . Finally, some scholars determined that costs such as minimum deposits or interest on loans were important factors for both men and women [<xref ref-type="bibr" rid="scirp.71128-ref39">39</xref>] [<xref ref-type="bibr" rid="scirp.71128-ref41">41</xref>] .</p><p>Overall, the empirical results of past research are equivocal regarding the importance of cost, speed of services and efficiency and the importance of personalized services (interaction and recognition) for men and women. Such conflicting findings leave us without a specific, clear direction in terms of the factors that are important for men vs. women in choosing a bank.</p><p>The contradictory findings might be a result of differences in the samples, time periods, and methods. Most studies in bank selection criteria have been conducted by asking the respondents to note what traits were important to them when choosing a bank (e.g., [<xref ref-type="bibr" rid="scirp.71128-ref37">37</xref>] [<xref ref-type="bibr" rid="scirp.71128-ref38">38</xref>] [<xref ref-type="bibr" rid="scirp.71128-ref42">42</xref>] - [<xref ref-type="bibr" rid="scirp.71128-ref44">44</xref>] ). Such direct questioning suffers from the flaws of social desirability; respondents might be unwilling or unable to report answers due to the desire to defend their ego or engage in impression management, resulting in data that are systematically biased toward the respondents’ perceptions of what is correct or socially acceptable. These issues may lead to unwarranted theoretical or practical conclusions regarding purchase motivations [<xref ref-type="bibr" rid="scirp.71128-ref45">45</xref>] .</p><p>The differential effect of gender on consumers’ evaluation of a single brand cannot capture the differences in real selection situations, when one needs to choose between alternative brands, a more realistic situation [<xref ref-type="bibr" rid="scirp.71128-ref46">46</xref>] . Therefore, as detailed in the method section, in the descriptive study, we adopt an indirect approach to assessing the saliency of the various attributes of different banks by querying the participants about their perceptions about real banks and asking them to choose one of them. Our main study explores whether in a real choice setting, consumers make choices in accordance with the evolutionary theory.</p><p>Based on the literature describing women as more relational and men as more instrumental, we posited that men would choose banks based on functional considerations such as fees, and women would be more concerned with experiential considerations such as personal service and the courtesy of the employees. Thus, we constructed two hypotheses that we tested for the first time in a situation where the respondents had to make a real choice about which bank to use.</p><p>H1―when choosing a bank, men will place greater emphasis on functional attributes such as costs than women will.</p><p>H2―when choosing a bank, women will place greater emphasis on experiential attributes such as personal service than men will.</p></sec></sec><sec id="s3"><title>3. Method</title><p>To test these hypotheses, we combined two methods: 1) a descriptive field study examined in a choice context and 2) an experimental study.</p><sec id="s3_1"><title>3.1. Descriptive Study</title><p>Our methodology uses a two-step approach. The first involves an exploratory study to determine the various service attributes consumers consider when choosing a bank. The second stage involves a descriptive research design that was conducted at two different levels. First, we determined how different five banks were one from one another at the aggregate level and which attributes contributed to this difference. Second, we conducted a data analysis at the group level based on gender differences.</p><p>Our modeling approach uses the multinomial logit model (MNL) that is based on choice theory and random utility modes [<xref ref-type="bibr" rid="scirp.71128-ref47">47</xref>] - [<xref ref-type="bibr" rid="scirp.71128-ref49">49</xref>] . We created a probabilistic description of checking account preferences based on the offerings of five existing banks (Bank H, Bank L, Bank M, Bank B, and Bank T). In order to capture gender heterogeneity, we applied the model to the two groups of consumers separately.</p>
<sec id="s3_1_1"><title>3.1.1. Research Approach and Data</title>
<p>To identify the attributes that consumers would consider when choosing a bank for a checking account, we created a focus group with 30 participants (16 men, 14 women, all undergraduate students in management in an Israeli university). <xref ref-type="table" rid="table1">Table 1</xref> presents the final set of attributes that were identified in the literature review [<xref ref-type="bibr" rid="scirp.71128-ref50">50</xref>] as well as attributes derived from the focus group.</p>
<p>The second stage of the research, the descriptive phase, involved a survey-based approach in which we used a closed-end questionnaire to gather data from the respondents about their preferences and perceptions of the five banks. The criterion for participation was familiarity with the five banks we analyzed. Participants were asked to rate their responses on a 7-point interval scale with 1 representing a very low utility and 7 representing a very high utility. The questionnaire consisted of 16 items representing the attributes of a range of bank services which the respondents answered for each of the five banks (see Appendix E for the questions). For example, a respondent would be asked: “On a scale of 1 to 7, where 1 is very expensive and 7 is not expensive at all, how would you rate the fee for the service in this bank?” The reliability as measured by Cronbach’s alpha for the five sets of questions ranged from 0.902 to 0.944. Overall the reliability was 0.926. In addition, respondents were asked to choose their most preferred bank. The order of the five brands was randomized in the survey.</p>
<p>Overall, the sample included 408 respondents selected through a stratified sampling procedure in a large Israeli city that allowed us to capture their heterogeneity with respect to their demographic characteristics. The sample contained 213 males and 195 females; 125 respondents had an income that fell below the national average, 115 were at the average level, and 168 had an above average income. With regard to education, 113 respondents were high school graduates, while 295 had a college degree. No differences were found between men and women with regard to demographics.</p></sec></sec></sec></body>
<back><ref-list><title>References</title><ref id="scirp.71128-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">[1]Mokhlis, S. (2009) Determinants of Choice Criteria in Malaysia’s Retail Banking, an Analysis of Gender-Based Choice Decisions. European Journal of Economics, Finance and Administrative Sciences, 1, 1450-1467.</mixed-citation></ref><ref id="scirp.71128-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Almossawi, M. (2001) Bank Selection Criteria Employed by College Students in Bahrain, an Empirical Analysis. International Journal of Bank Marketing, 19, 115-125.  
http://dx.doi.org/10.1108/02652320110388540</mixed-citation></ref><ref id="scirp.71128-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Plank, R., Greene, R. and Greene, J. (1994) Understanding Which Spouse Makes Financial Decisions. Journal of Retail Banking, 16, 21-21.</mixed-citation></ref><ref id="scirp.71128-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Ladhari, R. and Leclerc, A. (2013) Building Loyalty with Online Financial Services Customers, Is There a Gender Difference? Journal of Retailing and Consumer Services, 20, 560-569.  
http://dx.doi.org/10.1016/j.jretconser.2013.07.005</mixed-citation></ref><ref id="scirp.71128-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Karjaluoto, H., Cruz, P., Barretto Filgueiras Neto, L., Mu&amp;#241;oz-Gallego, P. and Laukkanen, T. (2010) Mobile Banking Rollout in Emerging Markets, Evidence from Brazil. International Journal of Bank Marketing, 28, 342-371. http://dx.doi.org/10.1108/02652321011064881</mixed-citation></ref><ref id="scirp.71128-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Nysveen, H., Pedersen, P.E. and Thorbj&amp;#216;rnsen, H. (2005) Explaining Intention to Use Mobile Chat Services, Moderating Effects of Gender. Journal of Consumer Marketing, 22, 247-256. http://dx.doi.org/10.1108/07363760510611671</mixed-citation></ref><ref id="scirp.71128-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Yu, C. (2012) Factors Affecting Individuals to Adopt Mobile Banking: Empirical Evidence from the UTAUT Model. Journal of Electronic Commerce Research, 13, 104.</mixed-citation></ref><ref id="scirp.71128-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Khazeh, K. and Decker, W.H. (1992) How Customers Choose Banks. Journal of Retail Banking, 14, 41-45.</mixed-citation></ref><ref id="scirp.71128-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Boyd, W.L., Leonard, M. and White, C. (1994) Customer Preferences for Financial Services: An Analysis. International Journal of Bank Marketing, 12, 9-15.</mixed-citation></ref><ref id="scirp.71128-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Darley, W.K. and Smith, R.E. (1995) Gender Differences in Information Processing Strategies: An Empirical Test of the Selectivity Model in Advertising Response. Journal of Advertising, 24, 41-56. http://dx.doi.org/10.1080/00913367.1995.10673467</mixed-citation></ref><ref id="scirp.71128-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Montford, W. and Goldsmith, R.E. (2016) How Gender and Financial Self-Efficacy Influence Investment Risk Taking. International Journal of Consumer Studies, 40, 101-106.  
http://dx.doi.org/10.1111/ijcs.12219</mixed-citation></ref><ref id="scirp.71128-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">Wilson, E. (1975) Sociobiology: The New Synthesis. Belknap, Cambridge.</mixed-citation></ref><ref id="scirp.71128-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Lowe, M. (1978) Sociobiology and Sex Differences. Signs, 4, 118-125.  
http://dx.doi.org/10.1086/493572</mixed-citation></ref><ref id="scirp.71128-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Saad, G. and Gill, T. (2000) Applications of Evolutionary Psychology in Marketing. Psychology and Marketing, 17, 1005-1034.</mixed-citation></ref><ref id="scirp.71128-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Meyers-Levy, J. and Maheswaran, D. (1991) Exploring Differences in Males’ and Females' Processing Strategies. Journal of Consumer Research, 18, 63-70.  
http://dx.doi.org/10.1086/209241</mixed-citation></ref><ref id="scirp.71128-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">Fisher, H.E. (1999) The First Sex: The Natural Talents of Women and How They Will Change the World. Random House, New York.</mixed-citation></ref><ref id="scirp.71128-ref17"><label>17</label><mixed-citation publication-type="book" xlink:type="simple">Miller, J. (1991) The Development of Women’s Sense of Self. In: Jordan, J.V., Kaplan, A.B., Miller, J.B., Stiver, I.P. and Surrey, J.L., Eds., Woman’s Growth in Connection: Writings from the Stone Center, Guildford Press, New York.</mixed-citation></ref><ref id="scirp.71128-ref18"><label>18</label><mixed-citation publication-type="other" xlink:type="simple">Van Slyke, C., Comunale, C.L. and Belanger, F. (2002) Gender Differences in Perceptions of Web-Based Shopping. Communications of the ACM, 45, 82-86.  
http://dx.doi.org/10.1145/545151.545155</mixed-citation></ref><ref id="scirp.71128-ref19"><label>19</label><mixed-citation publication-type="other" xlink:type="simple">Walsh, G., Mitchell, V.W. and Hennig-Thurau, T. (2001) German Consumer Decision-Making Styles. Journal of Consumer Affairs, 35, 73-95.  
http://dx.doi.org/10.1111/j.1745-6606.2001.tb00103.x</mixed-citation></ref><ref id="scirp.71128-ref20"><label>20</label><mixed-citation publication-type="other" xlink:type="simple">Fischer, E. and Arnold, S.J. (1994) Sex, Gender Identity, Gender Role Attitudes, and Consumer Behavior. Psychology and Marketing, 11, 163-182.  
http://dx.doi.org/10.1002/mar.4220110206</mixed-citation></ref><ref id="scirp.71128-ref21"><label>21</label><mixed-citation publication-type="other" xlink:type="simple">Bakewell, C. and Mitchell, V.W. (2003) Generation Y Female Consumer Decision-Making Styles. International Journal of Retail &amp; Distribution Management, 31, 95-106.  
http://dx.doi.org/10.1108/09590550310461994</mixed-citation></ref><ref id="scirp.71128-ref22"><label>22</label><mixed-citation publication-type="other" xlink:type="simple">Holbrook, M.B. (1986) Aims, Concepts, and Methods for the Representation of Individual Differences in Esthetic Responses to Design Features. Journal of Consumer Research, 13, 337-347. http://dx.doi.org/10.1086/209073</mixed-citation></ref><ref id="scirp.71128-ref23"><label>23</label><mixed-citation publication-type="other" xlink:type="simple">Silverman, I. and Eals, M. (1990) Sex Differences in Spatial Abilities: Evolutionary Theory and Data. International Society for Human Ethology, Binghamton.</mixed-citation></ref><ref id="scirp.71128-ref24"><label>24</label><mixed-citation publication-type="other" xlink:type="simple">Meyers-Levy, J. and Sternthal, B. (1991) Gender Differences in the Use of Message Cues and Judgments. Journal of Marketing Research, 28, 84-96.  
http://dx.doi.org/10.2307/3172728</mixed-citation></ref><ref id="scirp.71128-ref25"><label>25</label><mixed-citation publication-type="other" xlink:type="simple">Canli, T., Desmond, J.E., Zhao, Z. and Gabrieli, J.D.E. (2002) Sex Differences in the Neural Basis of Emotional Memories. Proceedings of the National Academy of Sciences of the United States of America, 99, 10789-10794. http://dx.doi.org/10.1073/pnas.162356599</mixed-citation></ref><ref id="scirp.71128-ref26"><label>26</label><mixed-citation publication-type="other" xlink:type="simple">Gur, R.C., Gunning-Dixon, F., Bilker, W.B. and Gur, R.E. (2002) Sex Differences in Temporo-Limbic and Frontal Brain Volumes of Healthy Adults. Cerebral Cortex, 12, 998-1003.  
http://dx.doi.org/10.1093/cercor/12.9.998</mixed-citation></ref><ref id="scirp.71128-ref27"><label>27</label><mixed-citation publication-type="other" xlink:type="simple">Burgess, B., Yaoyuneyong, G. and Gibbs, S. (2014) Gender, Self-Construal and Impulse Buying Behavior of Young Thai Consumers. Asian Journal of Business Research, 4, 1-15.</mixed-citation></ref><ref id="scirp.71128-ref28"><label>28</label><mixed-citation publication-type="other" xlink:type="simple">Blyth, D.A., Hill, J.P. and Thiel, K.S. (1982) Early Adolescents’ Significant Others: Grade and Gender Differences in Perceived Relationships with Familial and Nonfamilial Adults and Young People. Journal of Youth and Adolescence, 11, 425-450.  
http://dx.doi.org/10.1007/BF01538805</mixed-citation></ref><ref id="scirp.71128-ref29"><label>29</label><mixed-citation publication-type="other" xlink:type="simple">Burke, R.R. (2002) Technology and the Customer Interface: What Consumers Want in the Physical and Virtual Store. Journal of the Academy of Marketing Science, 30, 411.  
http://dx.doi.org/10.1177/009207002236914</mixed-citation></ref><ref id="scirp.71128-ref30"><label>30</label><mixed-citation publication-type="other" xlink:type="simple">Beutel, A.M. and Marini, M.M. (1995) Gender and Values. American Sociological Review, 60, 436-448. http://dx.doi.org/10.2307/2096423</mixed-citation></ref><ref id="scirp.71128-ref31"><label>31</label><mixed-citation publication-type="other" xlink:type="simple">Buser, T. (2012) The Impact of the Menstrual Cycle and Hormonal Contraceptives on Competitiveness. Journal of Economic Behavior &amp; Organization, 83, 1-10.  
http://dx.doi.org/10.1016/j.jebo.2011.06.006</mixed-citation></ref><ref id="scirp.71128-ref32"><label>32</label><mixed-citation publication-type="other" xlink:type="simple">Wozniak, D., Harbaugh, W.T. and Mayr, U. (2014) The Menstrual Cycle and Performance Feedback Alter Gender Differences in Competitive Choices. Journal of Labor Economics, 32, 161-198. http://dx.doi.org/10.1086/673324</mixed-citation></ref><ref id="scirp.71128-ref33"><label>33</label><mixed-citation publication-type="other" xlink:type="simple">Stafford, M.R. (1996) Demographic Discriminators of Service Quality in the Banking Industry. Journal of Services Marketing, 10, 6-22.  
http://dx.doi.org/10.1108/08876049610124554</mixed-citation></ref><ref id="scirp.71128-ref34"><label>34</label><mixed-citation publication-type="other" xlink:type="simple">Laroche, M., Rosenblatt, J.A. and Manning, T. (1986) Services Used and Factors Considered Important in Selecting a Bank: An Investigation across Diverse Demographic Segments. International Journal of Bank Marketing, 4, 35-55. http://dx.doi.org/10.1108/eb010771</mixed-citation></ref><ref id="scirp.71128-ref35"><label>35</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Aregbeyen</surname><given-names> O. </given-names></name>,<etal>et al</etal>. (<year>2011</year>)<article-title>The Determinants of Bank Selection Choices by Customers: Recent And Extensive Evidence From Nigeria</article-title><source> International Journal of Business and Social Science</source><volume> 2</volume>,<fpage> 276</fpage>-<lpage>288</lpage>.<pub-id pub-id-type="doi"></pub-id></mixed-citation></ref><ref id="scirp.71128-ref36"><label>36</label><mixed-citation publication-type="other" xlink:type="simple">Lee, H.J., Cho, H.J., Xu, W. and Fairhurst, A. (2010) The Influence of Consumer Traits and Demographics on Intention to Use Retail Self-Service Checkouts. Marketing Intelligence &amp; Planning, 28, 46-58. http://dx.doi.org/10.1108/02634501011014606</mixed-citation></ref><ref id="scirp.71128-ref37"><label>37</label><mixed-citation publication-type="other" xlink:type="simple">Ukenna, S. and Monanu, O.G. (2012) Analysis of the Influence of Gender on the Choice of Bank in Southeast Nigeria. International Journal of Business and Management, 7, 230-241.  
http://dx.doi.org/10.5539/ijbm.v7n3p230</mixed-citation></ref><ref id="scirp.71128-ref38"><label>38</label><mixed-citation publication-type="other" xlink:type="simple">Omar, O. and Orakwue, E. (2006) Gender-Based Choice of Retail Banking in Nigeria. Journal of Business &amp; Retail Management Research, 1, 20-31.</mixed-citation></ref><ref id="scirp.71128-ref39"><label>39</label><mixed-citation publication-type="other" xlink:type="simple">Narteh, B. and Owusu-Frimpong, N. (2011) An Analysis of Students’ Knowledge and Choice Criteria in Retail Bank Selection in Sub-Saharan Africa: The Case of Ghana. International Journal of Bank Marketing, 29, 373-397.  
http://dx.doi.org/10.1108/02652321111152909</mixed-citation></ref><ref id="scirp.71128-ref40"><label>40</label><mixed-citation publication-type="other" xlink:type="simple">Srivatsa, H. and Srinivasan, R. (2008) Gender Based Banking Psychographics: An Indian Empirical Study. International Journal of Business Research, 8, 88-95.</mixed-citation></ref><ref id="scirp.71128-ref41"><label>41</label><mixed-citation publication-type="other" xlink:type="simple">VasanthaKumari, H. and Rani, S.S. (2011) An Empirical Analysis of Gender Based Choice Criteria in Retail Banking—Among Software Professionals. Data Mining and Knowledge Engineering, 3, 749-755.</mixed-citation></ref><ref id="scirp.71128-ref42"><label>42</label><mixed-citation publication-type="other" xlink:type="simple">Tan, C.T. and Chua, C. (1986) Intention, Attitude and Social Influence in Bank Selection: A Study in an Oriental Culture. International Journal of Bank Marketing, 4, 43-53.  
http://dx.doi.org/10.1108/eb010783</mixed-citation></ref><ref id="scirp.71128-ref43"><label>43</label><mixed-citation publication-type="other" xlink:type="simple">Devlin, J.F. (2002) An Analysis of Choice Criteria in the Home Loans Market. International Journal of Bank Marketing, 20, 212-226. http://dx.doi.org/10.1108/02652320210437661</mixed-citation></ref><ref id="scirp.71128-ref44"><label>44</label><mixed-citation publication-type="other" xlink:type="simple">Katircioglu, S.T., Tumer, M. and K&amp;#108;l&amp;#108;n&amp;#231;, C. (2011) Bank Selection Criteria in the Banking Industry: An Empirical Investigation from Customers in Romanian Cities. African Journal of Business Management, 5, 5551-5558.</mixed-citation></ref><ref id="scirp.71128-ref45"><label>45</label><mixed-citation publication-type="other" xlink:type="simple">Fisher, R.J. (1993) Social Desirability Bias and the Validity of Indirect Questioning. Journal of Consumer Research, 20, 303-315. http://dx.doi.org/10.1086/209351</mixed-citation></ref><ref id="scirp.71128-ref46"><label>46</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Lowengart</surname><given-names> O. </given-names></name>,<etal>et al</etal>. (<year>2010</year>)<article-title>Heterogeneity in Consumer Sensory Evaluation as a Base for Identifying Drivers of Product Choice</article-title><source> JBM</source><volume> 37</volume>,<fpage> 37</fpage>-<lpage>50</lpage>.<pub-id pub-id-type="doi"></pub-id></mixed-citation></ref><ref id="scirp.71128-ref47"><label>47</label><mixed-citation publication-type="book" xlink:type="simple">McFadden, D. (1973) Conditional Logit Analysis of Qualitative Choice Be. In: Zarembka, P., Ed., Frontiers in Econometrics, Academic Press, New York, 105-142.</mixed-citation></ref><ref id="scirp.71128-ref48"><label>48</label><mixed-citation publication-type="other" xlink:type="simple">McFadden, D. (1980) Econometric Models for Probabilistic Choice among Products. Journal of Business, 53, S13-S29. http://dx.doi.org/10.1086/296093</mixed-citation></ref><ref id="scirp.71128-ref49"><label>49</label><mixed-citation publication-type="other" xlink:type="simple">McFadden, D. (1986) The Choice Theory Approach to Market Research. Marketing Science, 5, 275-297. http://dx.doi.org/10.1287/mksc.5.4.275</mixed-citation></ref><ref id="scirp.71128-ref50"><label>50</label><mixed-citation publication-type="other" xlink:type="simple">Mavr, I.M. and Ioannou, G. (2006) Consumers’ Perspectives on Online Banking Services. International Journal of Consumer Studies, 30, 552-560.  
http://dx.doi.org/10.1111/j.1470-6431.2006.00541.x</mixed-citation></ref><ref id="scirp.71128-ref51"><label>51</label><mixed-citation publication-type="other" xlink:type="simple">Gensch, D.H. and Ghose, S. (1992) Elimination by Dimensions. Journal of Marketing Research, 29, 417-429. http://dx.doi.org/10.2307/3172708</mixed-citation></ref><ref id="scirp.71128-ref52"><label>52</label><mixed-citation publication-type="other" xlink:type="simple">Berger, A.N., Kick, T., Koetter, M. and Schaeck, K. (2013) Does It Pay to Have Friends? Social Ties and Executive Appointments in Banking. Journal of Banking &amp; Finance, 37, 2087-2105. http://dx.doi.org/10.1016/j.jbankfin.2013.01.040</mixed-citation></ref><ref id="scirp.71128-ref53"><label>53</label><mixed-citation publication-type="other" xlink:type="simple">Khan, G. and Khan, N. (2011) Gender Differences in Susceptibility to Normative Social Influence on the Purchase Decisions of Designer Label Apparel. International Business &amp; Economics Research Journal, 7, 11-57.</mixed-citation></ref><ref id="scirp.71128-ref54"><label>54</label><mixed-citation publication-type="other" xlink:type="simple">Saad, G. and Vongas, J.G. (2009) The Effect of Conspicuous Consumption on Men’s Testosterone Levels. Organizational Behavior and Human Decision Processes, 110, 80-92.  
http://dx.doi.org/10.1016/j.obhdp.2009.06.001</mixed-citation></ref><ref id="scirp.71128-ref55"><label>55</label><mixed-citation publication-type="other" xlink:type="simple">Sundie, J.M., Kenrick, D.T., Griskevicius, V., Tybur, J.M., Vohs, K.D. and Beal, D.J. (2011) Peacocks, Porsches, and Thorstein Veblen: Conspicuous Consumption as a Sexual Signaling System. Journal of Personality and Social Psychology, 100, 664-680.  
http://dx.doi.org/10.1037/a0021669</mixed-citation></ref></ref-list></back></article>