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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">ijbf</journal-id>
      <journal-title-group>
        <journal-title>International Journal of Banking and Finance</journal-title>
        <abbrev-journal-title abbrev-type="publisher">IJBF</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="ppub">2811-3799</issn>
      <issn pub-type="epub">2590-423X</issn>
      <publisher><publisher-name>UUM PRESS</publisher-name></publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.32890/ijbf2012.9.1.1</article-id>
      <article-id pub-id-type="publisher-id">6916</article-id>
      <article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group></article-categories>
      <title-group>
        <article-title>Board Gender Diversity, Corporate Reputation and Market Performance</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Larkin</surname>
            <given-names>Meredith B.</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
          <email>mlarkin009@g.rwu.edu</email>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Bernardi</surname>
            <given-names>Richard A.</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Bosco</surname>
            <given-names>Susan M.</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
        </contrib>
      </contrib-group>
      <aff id="aff1"><institution>Roger Williams University</institution>, <country country="US">United States</country></aff>
      <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2012-03-22">
        <day>22</day><month>03</month><year>2012</year>
      </pub-date>
      <volume>9</volume>
      <issue>1</issue>
      <fpage>1</fpage>
      <lpage>26</lpage>
      <permissions>
        <copyright-statement>Copyright &#169; 2020 UUM PRESS</copyright-statement>
        <copyright-year>2020</copyright-year>
        <license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0">
          <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License.</license-p>
        </license>
      </permissions>
      <kwd-group kwd-group-type="author">
        <kwd>Ethical orientations</kwd>
        <kwd>Corporate reputation</kwd>
        <kwd>Market performance</kwd>
        <kwd>Gender diversity</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec1">
      <label>2.1</label>
      <title>Board Duties</title>
      <p>An organization’s board of directors is responsible for ensuring that a corporation is meeting the objectives of stakeholders as well as developing business strategies to prosper in the future (Arfken et al., 2004; Peterson and Philpot, 2007). When the corporation fails to meet these objectives, many question the ability of the board members. Campbell and Minguez-Vera (2008) indicate that the effectiveness of a board depends heavily on each board member’s qualifications and experience. Historically, older white males dominated; consequently, as corporate scandals continue, stakeholders push for changes in the corporate structure (McDaniel et al, 2001; Farrell and Hersch, 2005). Recent scandals indicate that corporations are not meeting these objectives; this suggests that the current homogenous boardroom is unable to perform its duties (Campbell and Minguez-Vera, 2008; Burke, 1997; Arfken et al., 2004). Companies now face an investing public that demands scrutiny of all corporate decisions and expects board members to be accountable for their actions (Arfken et al. 2004). Consumers and shareholders question the ability of a homogenous boardroom (Arfken et al., 2004); consequently, there has been a call for a higher representation of women on corporate boards (Burke, 1997). Many feel that the presence of women on corporate boards adds a sense of moral obligation to a corporation’s decision-making process (Arfken et al., 2004) which can in turn improve boardroom transparency and limit the likelihood of corporate scandal. The underrepresentation of women on boards became public in 1977 (Special Report, 1977); research continues to depict this trend (Burgess and Tharenou, 2002). Boards should not overlook their female board members and should take initiatives to ensure the consideration of female board members’ viewpoints. Burke (1997) indicates that the benefits to both internal and external stakeholders of considering female board members’ viewpoints include a more comprehensive decision making-process that is both creative and innovative. Women are able to bring a new perspective to the homogenous boardroom including raising issues that affect a wider range of stakeholders and using interpersonal skills to promote discussion (Kramer et al., 2007).</p>
      <sec id="sec1-1">
        <label>2.2</label>
        <title>Board Diversity</title>
        <p>Research has shown that lack of diversity within a boardroom results in a manila mindset to solving corporate problems (Burgess and Tharenou, 2002) that can lead to group think issues as well as lack of achievement within the company. Over the past decade, homogenous boards have been a contributing factor to spectacular failures and overall poor governance (Brown et al., 2002). A more diverse board results in an increased representation of moral and ethical viewpoints in the discussions prior to making decisions (Arfken et al., 2004). Diversity limits the possibility of a myopic decision-making process that can result in “unhealthy and possibly unethical decisions” (Arfken et al., 2004 p. 185) when the board has similar demographics. Many studies have cited that diversity not only limits the likelihood of myopic decision-making process but also increases the likelihood of positive occurrences such as fresh ideas, better problem solving, improved strategic planning, and additional accountability (Arfken et al., 2004). Diversity in the boardroom allows members to make better decisions as a more complete picture of the issues at hand are typically discussed (Adams and Flynn, 2005). Adams and Ferreira’s (2009) research indicates that diverse boards are more likely to hold CEOs responsible for poor stock price performance and that board compensation is typically equity-based, implying that the board is more aligned with shareholder interests. These findings further the idea that having women on boards can add value to a company. Overall, gender-diverse boards have increased levels of boardroom involvement and corporate oversight (Adams and Ferreira, 2009); boards with a greater female presence have higher levels of meeting attendance. The primary way in which boards operate and conduct business is through meetings and thus, attendance is a crucial factor of a successful board (Adams and Ferreira, 2009). These authors note that women were less likely to have attendance problems and that having females on boards results in better attendance by male directors. Clearly, the female influence in this area is quite important; increasing attendance should result in better boardroom discussion and higher levels of effectiveness. An increased membership of female directors positively associated enhanced corporate reputation (Bear et al., 2010). Bernardi et al. also found that corporations with higher percentages of women on their boards were more likely to be named as one of the ‘100 best companies to work for’ (2006), one of the ‘most ethical companies’ (2009), and a higher number of female executive-level managers (2004).</p>
      </sec>
      <sec id="sec1-2">
        <label>2.3</label>
        <title>Ethical Orientation</title>
        <p>The individuals an organization attracts, hires, and retains influence the organization’s ethical climate (Schneider, 1987). Harrison (1992) indicates that factors essential to economic success include a sense of community (i.e. a trusting and caring environment - Reynolds, 2003) and a robust ethical system. Employees are more likely to support a corporation’s values when the corporation demonstrates a commitment to the welfare of its community (Barnett and Schubert, 2002). Young people are attracted to a company’s social record (Goodpaster, 1991); for example, Bernardi and Guptill (2008) found that women from eight countries who were approaching graduation were more concerned about a corporation’s reputation within its community than were their male counterparts. Consequently, as Arnold et al. (1997) suggest, the foundation of an ethical organization culminates in an environment that nurtures ethical behavior. Bernardi and Arnold (1997) and Akaah (1989) indicate a difference between males’ and females’ moral reasoning and development implying that the way men and women handle ethical decision-making differs. Williams (2003) makes clear the correlation between increased levels of female directors and a company’s involvement in corporate social responsibility activities. The more concerned the firm is with issues of corporate responsibility, the less likely the firm will take actions that are considered unethical or do not promote the overall wellbeing of the firm and the surrounding environment. In a corporate landscape where corruption is rampant, it is essential that corporations work to ensure their culture is ethical and women are able to enhance this important aspect (McDaniel et al., 2001). Bernardi et al. found that corporations with higher percentages of women on their boards were more likely to be on EM’s ‘most ethical companies’ list (2009) and engage in activities demonstrating corporate social responsibility (2010).</p>
      </sec>
      <sec id="sec1-3">
        <label>2.4</label>
        <title>Transparency</title>
        <p>While ethical orientation is concerned with the internal decisions that an organization makes, transparency focuses on whether stakeholders have access to this information. An organization’s reputation rests on its stakeholders trust (Larkin, 2003), which directly relates to the information that is available about the organization (i.e., the transparency of the company). Public disclosure of information has increased in an effort to increase trust in organizations because trust at all levels is essential to a corporation’s legitimacy (The Economist, 2000). Following instances such as Enron, the Big-Four firms have all indicated a commitment to ethics and transparent reporting (Lehman, 1992). Deloitte and Touche initiated a challenge to restore the profession’s public trust (Parrett, 2004) and both KPMG (2003) and PricewaterhouseCoopers (2003) call for increased transparency and integrity in corporate reporting. Organizations that are not forthcoming with information tend to be hiding essential facts from stakeholders; this process leads to the possibility of corporate scandal. The lack of transparency and audit failure contributed to the Enron debacle - one of the most discussed financial scandals. Reinstein and McMillan (2004) show that Enron’s collapse was not a perfect storm (i.e., a happenstance of rare events that had devastating effects). Rather, the audit team from Andersen ignored or missed red flags that would have indicated problems with Enron’s financial heath (Reinstein and McMillan, 2004). In this case, understanding the organization’s operations would have lead stakeholders to question Enron’s profits and financial statements.</p>
      </sec>
      <sec id="sec1-4">
        <label>2.5</label>
        <title>Women and Economic Performance</title>
        <p>Businesses operate with the objective to earn a profit and in turn increase shareholder value. Corporate managers, and those who are interested in positive governance, believe that there is a correlation between board diversity and shareholder value (Carter et al., 2003). Furthermore, investors are willing to pay more for firms with effective corporate governance (Smalhout, 2003). Jackson (2004) found that most individuals consider reputation in their investment decisions; research also suggests that stock performance associates with corporate reputation (Miles and Covin, 2000; Vergin and Qoronfleh, 1998; Sparks, 1998; Sims, 1994). Many corporations recognize that increasing shareholder value should occur in an ethical manner, but the implementation of this process can be difficult. Corporations are under increasing pressure to act in a socially responsible manner while still attaining high profit levels. Corporate social responsibility is the implementation of policies that recognize the relationship among business ethics, community investment, governance and many other aspects of business (Tsoutsoura, 2004; Bernardi et al., 2006).</p>
        <p>Prior research demonstrated the benefits that having women on boards can bring to an organization, but many question the ability of organizations to be socially responsible while still meeting shareholder expectations. Some feel that social responsibility results in increased cost pressures on organizations, which can affect the bottom line. However, corporations that engage in socially responsible practices can more easily obtain capital as their reputation of being less risky (Tsoursoura, 2004). Together, these aspects help improve the public’s view of the firm thus increasing profitability. Tsoursoura also found that financial performance and corporate social responsibility were positively associated. Most importantly, Tsoursoura found that the industries with the lowest ratings for social responsibility include mining and construction, the same sectors with the lowest number of women on boards (GovernanceMetrics International, 2010). These findings show that having women on boards does in fact positively affect the social responsibility behaviors of an organization. Bear et al. (2010) found that the number of female directors positively associated with measures of corporate reputation. Bernardi et al. (2006) also found that an increased proportion of female representation on boards associated with the corporation’s inclusion on the ‘100 Best Companies to Work For’ list. Additionally, corporations that value diversity have proven to be more competitive in the overall business setting (McDaniel et al, 2001). Farrell and Hersch (2005) conducted research on the effect that women board members have on a corporation’s common stock performance. They found that, while adding women to the board positively associated with return on assets, the market failed to react to adding women to a board. This information supports the idea that having women on boards has a direct impact on the bottom-line profits of an organization, but at this point fails to influence investor opinion. 2.6</p>
        <sec id="sec1-4-1">
          <title>Hypothesis Development</title>
          <p>While overconfidence in decision-making occurs in both men and women, men are typically more overconfident than women are especially in areas considered masculine (i.e., financial decisions) (Lundeberg et al., 1994). Barber and Odean (2000) found that men tended to turn over their portfolios more often and have lower returns than women; they suggest that overconfidence leads to high levels of counterproductive trading. Huang and Kisgen (2008) found that female CFO’s tended to be more risk adverse, used debt less frequently to finance corporate capital demands, made fewer acquisitions, and outperformed corporations with male</p>
          <p>CFOs. Consequently, women can also bring different viewpoints/attitudes to an organization through board membership. Carter et al. (2003) indicate that gender diversity enhances understanding of the intricacies of a corporation’s market. Women are able to bring their insights to the boardroom and match the diversity of the organization’s consumer base. In general, boards that closely match the makeup of the general population provide improved corporate social performance (Bernardi et al., 2006). Diversity also allows an organization to view problems in a different manner and reevaluate the way in which they do business. Prior research shows that improved performance associates with boards that are diverse with respect to gender (Brady, 2007; Cohen and Kornfeld, 2006). Adding female board members has proven to increase an organization’s sense of responsibility. Carter et al. (2008) noted that the effect of gender diversity on a board’s audit function associated with financial performance. Ittonen et al. (2007) found that, when female board members are on the board’s audit committee, there was a reduction in the inherent risk of financial misstatements. These authors also noted that gender diversity associates with lower audit fees. Audit committees that include women tend to be more conservative; Thiruvadi and Huang (2011) report that, when female directors were members of audit committees, corporations tended to report increased negative accruals, which decrease income. When new audit committee members had accounting expertise, the market reacted positively (Defond et al., 2005). Huang et al. (2011) found that, when compared to the addition of male board members, the addition of female board members to the audit committee resulted in positive cumulative abnormal returns.</p>
          <p>Gender diversity can be beneficial in situations involving complex tasks, which require creative decision-making (Kravitz, 2003). Consequently, expanding a board’s viewpoint can facilitate increased discussion, better problem solving tactics, and a better understanding of the marketplace as a whole. Gul et al. (2011) found that board-gender diversity encouraged corporations to increase their disclosure of corporate data. Bernardi et al. found that corporations with higher percentages</p>
          <p>While Nguyen and Faff (2006) found that gender diversity associated with higher firm values, Wang and Clift (2009) found that gender and racial diversity did not influence firm performance – both studies used listed Australian corporations.</p>
          <p>of women on their boards were more likely to be on ‘100 best companies to work for’ (2006) and ‘most ethical companies’ (2009) lists. However, this research fails to associate female directors and listings with financial performance, which leads to our research hypotheses (stated in their alternate form): H1: The corporations on CRM’s (2010) list will have a higher (lower) proportion of multiple female directors (zero or only one director) than for corporations not on this list. H2: The corporations on EM’s (2010) list will have a higher (lower) proportion of multiple female directors (zero or only one director) than for corporations not on this list. H3: Membership on CRM’s (2010) list will associate with higher (lower) increases (decreases) in common stock prices in 2010. H4: Membership on EM’s (2010) list will associate with higher (lower) increases (decreases) in common stock prices in 2010.</p>
          <p>3. Data and Methodology</p>
        </sec>
      </sec>
      <sec id="sec1-5">
        <label>3.1</label>
        <title>Sample</title>
        <p>The current sample includes the 2010 Fortune 500 corporations of which 92 (408) corporations appear (do not appear) on CRM’s list (Table 1). The sample also includes the 46 (454) corporations that appear (do not appear) on EM’s 2010 list (Table 2). Appendix A provides the methodology for CRM’s list. Appendix B provides the methodology for EM’s list. We determined the size and gender composition of the corporate boards of directors by referring to the companies’ actual 2010 annual reports or from data included in the Mergent Online database.</p>
      </sec>
      <sec id="sec1-6">
        <label>3.2</label>
        <title>Selection Processes and Corporate Return Data</title>
        <p>CRM’s list (Appendix A) took into consideration both the transparency and the level of social responsibility of an organization. It is important to note that our basis for considering an organization as transparent lies with the fact that the magazine penalized corporations for not disclosing information relating to social responsibility. EM’s list (Appendix B) acknowledges corporations for being ethical and following compliance measures through positive leadership. We tested the research question relating to the organization’s financial return using a rate of return for the period between January 1, 2010 and December 31, 2010. We used historic stock prices to determine the price per share of each organization at the earliest available stock price in 2010 in relation to the latest available stock price in 2010 at the close of the trading day. In order to determine the percentage change of the stock price for the given year, we subtracted the beginning (January 1) stock price from the ending (December 31) stock price, which we divided by the beginning stock price.</p>
        <table-wrap id="tbl1">
          <label>Table 1</label>
          <caption><title>Most Transparent Companies</title></caption>
          <table>
            <thead>
              <tr>
                <th>3M</th>
                <th>Ford Motor</th>
                <th>Northeast Utilities</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>Abbott Laboratories</td>
                <td>FPL Group</td>
                <td>Occidental Petroleum</td>
              </tr>
              <tr>
                <td>Advanced Micro Devices</td>
                <td>Freeport-McMoRan Copper &amp; Gold</td>
                <td>Oracle</td>
              </tr>
              <tr>
                <td>Air Products &amp; Chemical</td>
                <td>Gap</td>
                <td>Owens Corning</td>
              </tr>
              <tr>
                <td>Alcoa</td>
                <td>General Mills</td>
                <td>Pepsi Bottling</td>
              </tr>
              <tr>
                <td>Allergan</td>
                <td>H.J. Heinz</td>
                <td>PepsiCo</td>
              </tr>
              <tr>
                <td>Applied Materials</td>
                <td>Hess</td>
                <td>PG&amp;E Corp.</td>
              </tr>
              <tr>
                <td>Avon Products</td>
                <td>Hewlett-Packard</td>
                <td>Procter &amp; Gamble</td>
              </tr>
              <tr>
                <td>Ball</td>
                <td>Hormel Foods</td>
                <td>Quest Diagnostics</td>
              </tr>
              <tr>
                <td>Baxter International</td>
                <td>Intel</td>
                <td>Raytheon</td>
              </tr>
              <tr>
                <td>Boeing</td>
                <td>International Business Machines</td>
                <td>Sara Lee</td>
              </tr>
              <tr>
                <td>Bristol-Myers Squibb</td>
                <td>International Paper</td>
                <td>Sempra Energy</td>
              </tr>
              <tr>
                <td>Campbell Soup</td>
                <td>ITT</td>
                <td>Sherwin-Williams</td>
              </tr>
              <tr>
                <td>Chevron</td>
                <td>J.C. Penney</td>
                <td>Southern</td>
              </tr>
              <tr>
                <td>Cisco Systems</td>
                <td>J.P. Morgan Chase &amp; Co.</td>
                <td>Staples</td>
              </tr>
              <tr>
                <td>Citigroup</td>
                <td>Johnson &amp; Johnson</td>
                <td>Starbucks</td>
              </tr>
              <tr>
                <td>Coca-Cola</td>
                <td>Johnson Controls</td>
                <td>State Street Corp.</td>
              </tr>
              <tr>
                <td>Coca-Cola Enterprises</td>
                <td>Kellogg</td>
                <td>Stryker</td>
              </tr>
              <tr>
                <td>Colgate-Palmolive</td>
                <td>Kimberly-Clark</td>
                <td>Texas Instruments</td>
              </tr>
              <tr>
                <td>ConAgra Foods</td>
                <td>Lubrizol</td>
                <td>TJX</td>
              </tr>
              <tr>
                <td>Consolidated Edison</td>
                <td>Mattel</td>
                <td>Union Pacific</td>
              </tr>
              <tr>
                <td>Cummins</td>
                <td>McDonald's</td>
                <td>United Parcel Service</td>
              </tr>
              <tr>
                <td>CVS Caremark</td>
                <td>McGraw-Hill</td>
                <td>Verizon</td>
              </tr>
              <tr>
                <td>Deere</td>
                <td>McKesson</td>
                <td>Wal-Mart Stores</td>
              </tr>
              <tr>
                <td>Dell</td>
                <td>Medtronic</td>
                <td>Walt Disney</td>
              </tr>
              <tr>
                <td>Dominion Resources</td>
                <td>Merck</td>
                <td>Weyerhaeuser</td>
              </tr>
              <tr>
                <td>Duke Energy</td>
                <td>Microsoft</td>
                <td>Wisconsin Energy</td>
              </tr>
              <tr>
                <td>Eaton</td>
                <td>Monsanto</td>
                <td>Xcel Energy</td>
              </tr>
              <tr>
                <td>EMC</td>
                <td>Mosaic</td>
                <td>Xerox</td>
              </tr>
              <tr>
                <td>Exelon</td>
                <td>Newmont Mining</td>
                <td>Yum Brands</td>
              </tr>
              <tr>
                <td>Exxon Mobil</td>
                <td>Nike</td>
                <td></td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec id="sec1-7">
        <label>3.3</label>
        <title>Board Gender Data</title>
        <p>While our initial analysis included all Fortune 500 corporations, 51 of these corporations are not publicly listed; of the 51 corporations that were not publicly traded, three of them were on CRM’s list. For the 89 publicly traded corporations that appear on CRM’s list, there were 195 female directors and 1057 total directors (18.4 percent). The 89 corporations on CRM’s list make up 19.8 percent of the 449 publicly traded companies in the Fortune 500. Our data indicate that of the 89 corporations on CRM’s list: 1.1 percent had no female directors; 21.3 percent had one female director; and, 77.5 percent had multiple female directors. We compared these percentages to those for the remaining 406 corporations that have 586 female directors and 3,904 total directors (15.0 percent). The data for these corporations indicate that: 14.4 percent had no female directors; 32.2 percent had one female director; and, 55.3 percent had multiple female directors.</p>
        <table-wrap id="tbl2">
          <label>Table 2</label>
          <caption><title>Most Ethical Companies</title></caption>
          <table>
            <thead>
              <tr>
                <th>Aflac</th>
                <th>Flour</th>
                <th>Pitney Bowes</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>American Express</td>
                <td>Ford Motor</td>
                <td>Principal Financial</td>
              </tr>
              <tr>
                <td>Aramark</td>
                <td>FPL Group</td>
                <td>Rockwell Automation</td>
              </tr>
              <tr>
                <td>Ashland</td>
                <td>Gap</td>
                <td>Rockwell Collins</td>
              </tr>
              <tr>
                <td>Becton Dickinson</td>
                <td>General Electric</td>
                <td>Sempra Energy</td>
              </tr>
              <tr>
                <td>Best Buy</td>
                <td>General Mills</td>
                <td>Starbucks</td>
              </tr>
              <tr>
                <td>Campbell Soup</td>
                <td>Google</td>
                <td>Symantec</td>
              </tr>
              <tr>
                <td>Caterpillar</td>
                <td>Harris</td>
                <td>Target</td>
              </tr>
              <tr>
                <td>CH2M Hill</td>
                <td>Hartford Financial Services</td>
                <td>Texas Instruments</td>
              </tr>
              <tr>
                <td>Cisco Systems</td>
                <td>Hewlett-Packard</td>
                <td>Time Warner</td>
              </tr>
              <tr>
                <td>Cummins</td>
                <td>International Paper</td>
                <td>United Parcel Service</td>
              </tr>
              <tr>
                <td>Deere</td>
                <td>Johnson Controls</td>
                <td>Waste Management</td>
              </tr>
              <tr>
                <td>Duke Energy</td>
                <td>Mattel</td>
                <td>Weyerhaeuser</td>
              </tr>
              <tr>
                <td>Eaton</td>
                <td>Nike</td>
                <td>Whole Foods Market</td>
              </tr>
              <tr>
                <td>Ecolab</td>
                <td>PepsiCo Three of the 46 corporations that appear on EM’s list are not publicly traded. For the 43</td>
                <td>Wisconsin Energy Xerox</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>Three of the 46 corporations that appear on EM’s list are not publicly traded. For the 43 publicly traded corporations that appear on EM’s list, there are 93 female directors and 491 total directors (18.9 percent). Our data indicate that of those: 2.3 percent had no female directors; 23.3 percent had one female director; and, 74.4 percent had multiple female directors. We compared these percentages to those for the remaining 406 corporations that have 688 female directors and 4,470 total directors (15.4 percent). The data for these corporations indicate that: 12.8 percent had no female directors; 30.8 percent had one female director; and, 56.4 percent had multiple female directors.</p>
        <p>4. Analyses and Findings</p>
      </sec>
      <sec id="sec1-8">
        <label>4.1</label>
        <title>Overview</title>
        <p>For this part of the analysis, we used the data from 449 of the Fortune 500 companies that had publicly listed performance data - the other 51 companies were not publicly listed. In our analysis, we group corporations by whether or not they appear on a specific list and by the number of female board members: no female board members, one female board member, and multiple female board members. In our examination of the data, we use contingency analysis, as we believe it visually demonstrates our findings with respect to listing by either CRM or EM, board gender diversity and common stock performance.</p>
      </sec>
      <sec id="sec1-9">
        <label>4.2</label>
        <title>Corporate Reputation and Female Board Members (H1 and H2)</title>
        <p>This part of the analysis tests for an association between listing by either CRM or EM and gender. For the 89 corporations included on CRM’s list, there was one corporation (1.1 percent) with no female directors, 19 corporations (21.4 percent) with one female director and 69 corporations (77.5 percent) with multiple female directors. For the 360 corporations that were not included on CRM’s list, there were 52 corporations (14.5 percent) with no female directors, 126 corporations (32.2 percent) with one female director and 192 corporations (53.3 percent) with multiple female directors. While the corporations not listed by CRM had a higher proportion of corporations with no female directors or only one female director (14.5 and 32.2 percent respectively) than the corporations listed by CRM (1.1 and 21.4 percent respectively), the reverse is true for corporations with multiple female directors (53.3 versus 77.5 percent respectively). Panel A of Table 3 shows the actual and expected number of female directors for each of group or corporations.3 Our analysis indicates that all treatments are not proportionally represented (χ2 statistic = 20.72, p &lt; 0.000). The most significant contributors to this difference were the corporations listed by CRM. Corporations on CRM’s list had higher proportion of corporations with multiple female directors, which supports our first research hypothesis. For the 43 corporations included on EM’s list, there was one corporation (2.3 percent) with no female directors, 10 corporations (23.3 percent) with one female director and 32 corporations (74.4 percent) with multiple female directors. For the 406 corporations that were not included on EM’s list, there were 52 corporations (12.8 percent) with no female directors, 125 corporations (30.8 percent) with one female director and 229 corporations (56.4 percent) with multiple female directors. While the corporations not listed by EM had a higher proportion of corporations with no female directors or only one female director (12.8 and 30.8 percent respectively) than the corporations listed by EM (2.3 and 23.3 percent respectively), the reverse is true for corporations with multiple female directors (56.4 versus 74.4 percent respectively). Panel B of Table 3 shows the actual and expected number of female directors for each of group or corporations. Our analysis indicates that all treatments are not proportionally represented (χ2 statistic = 6.52, p = 0.045). The most significant contributors to this difference were the corporations listed by EM. Corporations on EM’s list had higher proportion of corporations with multiple female directors, which supports our second research hypothesis. 4.3</p>
        <sec id="sec1-9-1">
          <title>Corporate Reputation and Performance (H3 and H4)</title>
          <p>This part of the analysis tests for an association among listing by either CRM or EM and corporate performance. On an overall basis, the data indicate that the 89 (360) corporations (not) included on CRM’s list had an increase of 11.9 (6.7) percent - average return of 7.7 percent. The 43 (406) corporations (not) included on EM’s list had an increase of 16.2 (6.8) percent</p>
          <p>In our contingency analysis, we computed the expected number of companies for each group by multiplying the total number of corporations in each column (i.e., the number of female directors on the board) by proportion of the sample (i.e., either the number of transparent or remaining companies divided by the total sample). For example, for the 16 transparent companies that have one female director, we would expect to have 26.8 companies ([19+116] X [89/449]) rather than our actual count of 19 companies. Similarly, for the remaining companies with one female director, we would expect to have 108.2 companies ([19+116] X [360/449]) rather than our actual count of 116 companies.</p>
          <table-wrap id="tbl3">
            <label>Table 3</label>
            <caption><title>LISTING BY CRM OR EM AND BOARD GENDER COMPOSITION</title></caption>
            <table>
              <thead>
                <tr>
                  <th>Panel A: CRM’S listing</th>
                  <th colspan="5"></th>
                </tr>
                <tr>
                  <th colspan="2"></th>
                  <th colspan="3">Number of Female Directors</th>
                  <th></th>
                </tr>
                <tr>
                  <th colspan="2"></th>
                  <th>None</th>
                  <th>One</th>
                  <th>Multiple</th>
                  <th>Total</th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td>Transparent corporations</td>
                  <td>Actual Expected χ2 stat</td>
                  <td>1 10.5 8.60</td>
                  <td>19 26.8 2.25</td>
                  <td>69 51.7 5.76</td>
                  <td>89 89 16.61</td>
                </tr>
                <tr>
                  <td>Remaining corporations</td>
                  <td>Actual Expected χ2 stat</td>
                  <td>52 42.5 2.13</td>
                  <td>116 108.2 0.56</td>
                  <td>192 209.3 1.43</td>
                  <td>360 360 4.11</td>
                </tr>
                <tr>
                  <td>Panel B: EM’S listing</td>
                  <td></td>
                  <td>None</td>
                  <td>Number of Female Directors One</td>
                  <td>Multiple</td>
                  <td>Total</td>
                </tr>
                <tr>
                  <td>Ethical corporations</td>
                  <td>Actual Expected χ2 stat</td>
                  <td>1 5.1 3.27</td>
                  <td>10 12.9 0.66</td>
                  <td>32 25.0 1.96</td>
                  <td>43 43 5.90</td>
                </tr>
                <tr>
                  <td>Remaining corporations</td>
                  <td>Actual Expected χ2 stat - average return of 7.7 percent. Consequently, on an overall basis, our first two hypotheses about being on a listed by either CRM or EM and higher common stock prices were supported by the data. Panel A of Table 4 provides the average returns for the six groups of companies. Our analysis indicates that all treatments did not have a 7.7 percent increase in common stock value</td>
                  <td>52 47.9 0.35</td>
                  <td>125 122.1 0.07</td>
                  <td>229 236.0 0.21</td>
                  <td>406 406 0.63</td>
                </tr>
                <tr>
                  <td>(χ2 statistic = 8.06, p = 0.02).</td>
                  <td>4</td>
                  <td>The most significant contributors to this difference were the</td>
                  <td></td>
                  <td></td>
                  <td></td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
          <p>- average return of 7.7 percent. Consequently, on an overall basis, our first two hypotheses about being on a listed by either CRM or EM and higher common stock prices were supported by the data. Panel A of Table 4 provides the average returns for the six groups of companies. Our analysis indicates that all treatments did not have a 7.7 percent increase in common stock value (χ2 statistic = 8.06, p = 0.02).</p>
          <p>The most significant contributors to this difference were the corporations listed by CRM with one female director and multiple female directors. It is the higher percent of increase for corporations listed by CRM that are driving the difference in treatments. We further divided the data in Panel A by whether their common stock price increased (Panel B) or decreased (Panel C) for additional analysis. For the corporations in Panel B, the average increase in their stock price was 19.9 percent. The data in Panel B indicate no difference in treatments (χ2 statistic = 1.23, not significant) for the corporations whose common stock prices increased. For the corporations in Panel C, the average decrease in their stock price was 38.0 percent. The data in Panel C indicate that not all treatments had a 38.0 percent decrease in common stock value (χ2 statistic = 54.91, p &lt; 0.000). Again, our data indicates that the most significant contributors to this difference were the corporations listed by CRM with one female director and multiple female directors. The common stock prices for the 19 corporations listed by CRM (average = -9.1 percent) did not decrease as much as the 76 corporations that were not listed (average = -45.2 percent). Consequently, the data support our third hypothesis. Panel A of Table 5 provides the average returns for the six groups of companies. Our analysis indicates that not all treatments had a 7.7 percent increase in common stock value (χ2 statistic = 20.62, p &lt; 0.000). The most significant contributors to this difference were the corporations listed by EM with one female director and multiple female directors. It is the higher percent of increase for corporations listed by EM that are driving the difference in treatments. We further divided the data in Panel A by whether their common stock price increased (Panel B) or decreased (Panel C) for additional analysis.</p>
          <p>We did not include the data for the first group (i.e., being listed by either CRM or EM and no female directors) as there was only one firm in this group (i.e., return of 31.5 percent was not an average).</p>
          <table-wrap id="tbl4">
            <label>Table 4</label>
            <caption><title>AVERAGE PERCENT CHANGE IN SHARE PRICE AND CRM’S LISTINGS</title></caption>
            <table>
              <thead>
                <tr>
                  <th colspan="3">Panel A: Average Percent Change for all Corporations (average = 7.7 percent)</th>
                  <th colspan="3"></th>
                </tr>
                <tr>
                  <th colspan="2"></th>
                  <th colspan="2">Number of Female Directors</th>
                  <th colspan="2"></th>
                </tr>
                <tr>
                  <th colspan="2"></th>
                  <th>None</th>
                  <th>One</th>
                  <th>Multiple</th>
                  <th>Total</th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td>Transparent corporations</td>
                  <td>(%) (n) χ2 stat</td>
                  <td>31.3 (1) NA</td>
                  <td>13.9 (19) 5.04</td>
                  <td>10.8 (69) 1.27</td>
                  <td>11.9 (89) 6.31</td>
                </tr>
                <tr>
                  <td>Remaining corporations</td>
                  <td>(%) (n) χ2 stat Panel B: Average Percent Change for Corporations with Positive Returns (average = 19.9 percent)</td>
                  <td>10.5 (52) 1.04 None</td>
                  <td>5.8 (116) 0.46 Number of Female Directors One</td>
                  <td>6.3 (192) 0.25 Multiple</td>
                  <td>6.7 (360) 1.71 Total</td>
                </tr>
                <tr>
                  <td>Transparent corporations</td>
                  <td>(%) (n) χ2 stat</td>
                  <td>31.3 (1) NA</td>
                  <td>17.8 (16) 0.22</td>
                  <td>16.9 (53) 0.46</td>
                  <td>17.3 (70) 0.68</td>
                </tr>
                <tr>
                  <td>Remaining corporations</td>
                  <td>(%) (n) χ2 stat Panel C: Average Percent Change for Corporations with Negative Returns (average = -38.0 percent)</td>
                  <td>23.2 (43) 0.54 None</td>
                  <td>20.3 (92) 0.01 Number of Female Directors One</td>
                  <td>20.0 (149) 0.00 Multiple</td>
                  <td>20.6 (284) 0.55 Total</td>
                </tr>
                <tr>
                  <td>Transparent corporations</td>
                  <td>(%) (n) χ2 stat</td>
                  <td>NA (0) NA</td>
                  <td>-6.9 (3) 25.47</td>
                  <td>-9.5 (16) 21.39</td>
                  <td>-9.1 (19) 46.86</td>
                </tr>
                <tr>
                  <td>Remaining corporations</td>
                  <td>(%) (n) χ2 stat For the corporations in Panel B, the average increase in their stock price was 19.9 percent.</td>
                  <td>-50.4 (9) 4.05</td>
                  <td>-49.8 (24) 3.67</td>
                  <td>-41.5 (43) 0.33</td>
                  <td>-45.2 (76) 8.05</td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
          <p>Panel A: Average Percent Change for all Corporations (average = 7.7 percent) Number of Female Directors None One Transparent corporations (%) 31.3 13.9 (n) (1) (19) χ2 stat NA 5.04 Remaining corporations</p>
          <p>(%) (n) χ2 stat</p>
          <p>Panel B: Average Percent Change for Corporations with Positive Returns (average = 19.9 percent) Number of Female Directors One None Transparent corporations (%) 31.3 17.8 (n) (1) (16) χ2 stat NA 0.22 Remaining corporations</p>
          <p>(%) (n) χ2 stat</p>
          <p>Panel C: Average Percent Change for Corporations with Negative Returns (average = -38.0 percent) Number of Female Directors One None Transparent corporations (%) NA -6.9 (n) (0) (3) χ2 stat NA 25.47 Remaining corporations</p>
          <p>(%) (n) χ2 stat</p>
          <p>Multiple 10.8 (69) 1.27</p>
          <p>Total 11.9 (89) 6.31</p>
          <p>Multiple 16.9 (53) 0.46</p>
          <p>Total 17.3 (70) 0.68</p>
          <p>Multiple -9.5 (16) 21.39</p>
          <p>Total -9.1 (19) 46.86</p>
          <p>For the corporations in Panel B, the average increase in their stock price was 19.9 percent. The data in Panel B indicate no difference in treatments (χ2 statistic = 0.90, not significant) for the corporations whose common stock prices increased. For the corporations in Panel C, the average decrease in their stock price was 38.0 percent. The data in Panel C indicate that not all treatments had a 38.0 percent decrease in common stock value (χ2 statistic = 50.93, p &lt; 0.000). Again, the most significant contributors to this difference were the corporations listed by CRM with one female director and multiple female directors. The common stock prices for the six corporations listed by EM (average = -10.1 percent) did not decrease as much as the 89 corporations that were not listed (average = -39.8 percent). Consequently, the data support our third hypothesis. This section of our analysis found that corporations on both CRM and EM’s lists had higher average increases in their common stock prices (Panel A of Tables 4 and 5). When we separated the companies according to whether they had increasing or decreasing stock prices, there were no significant differences in the two groups with increasing stock prices (Panel B of Tables 4 and 5). However, we found that the decrease in common stock prices for corporations on both CRM and EM’s lists was not as large as the decrease for corporations not on these lists (Panel C of ables 4 and 5). Consequently, our data indicate an association between a corporation’s reputation (i.e., being on either CRM or EM’s list) and common stock performance.</p>
        </sec>
      </sec>
    </sec>
    <sec id="sec2">
      <label>5</label>
      <title>Conclusions</title>
      <p>The major contribution of this paper is that board gender diversity can provide an incremental benefit for corporations that already have a good reputation in ethical behavior, social responsibility and transparency. Our data indicate that companies on CRM or EM’s lists have superior returns and that companies on CRM or EM’s lists are more likely to have multiple female directors on their boards. Consequently, our data suggest an interactive effect between corporate reputation and the number of female directors.</p>
      <table-wrap id="tbl5">
        <label>Table 5</label>
        <caption><title>AVERAGE PERCENT CHANGE IN SHARE PRICE AND EM’S LISTINGS</title></caption>
        <table>
          <thead>
            <tr>
              <th colspan="3">Panel A: Average Percent Change for all Corporations (average = 7.7 percent)</th>
              <th colspan="3"></th>
            </tr>
            <tr>
              <th colspan="2"></th>
              <th colspan="2">Number of Female Directors</th>
              <th colspan="2"></th>
            </tr>
            <tr>
              <th colspan="2"></th>
              <th>None</th>
              <th>One</th>
              <th>Multiple</th>
              <th>Total</th>
            </tr>
          </thead>
          <tbody>
            <tr>
              <td>Ethical corporations</td>
              <td>(%) (n) χ2 stat</td>
              <td>10.7 (1) NA</td>
              <td>15.9 (10) 8.80</td>
              <td>16.4 (32) 9.90</td>
              <td>16.2 (43) 18.70</td>
            </tr>
            <tr>
              <td>Remaining corporations</td>
              <td>(%) (n) χ2 stat Panel B: Average Percent Change for Corporations with Positive Returns (average = 19.9 percent)</td>
              <td>10.9 (52) 1.35 None</td>
              <td>6.2 (125) 0.29 Number of Female Directors One</td>
              <td>6.2 (229) 0.29 Multiple</td>
              <td>6.8 (406) 1.93 Total</td>
            </tr>
            <tr>
              <td>Ethical corporations</td>
              <td>(%) (n) χ2 stat</td>
              <td>10.7 (1) NA</td>
              <td>21.5 (8) 0.13</td>
              <td>20.5 (28) 0.02</td>
              <td>20.4 (37) 0.15</td>
            </tr>
            <tr>
              <td>Remaining corporations</td>
              <td>(%) (n) χ2 stat Panel C: Average Percent Change for Corporations with Negative Returns (average = -38.0 percent)</td>
              <td>23.7 (43) 0.72 None</td>
              <td>19.8 (100) 0.00 Number of Female Directors One</td>
              <td>19.0 (174) 0.04 Multiple</td>
              <td>19.9 (317) 0.75 Total</td>
            </tr>
            <tr>
              <td>Ethical corporations</td>
              <td>(%) (n) χ2 stat</td>
              <td>na (0) NA</td>
              <td>-6.6 (2) 25.92</td>
              <td>-11.9 (4) 17.90</td>
              <td>-10.1 (6) 43.82</td>
            </tr>
            <tr>
              <td>Remaining corporations</td>
              <td>(%) (n) χ2 stat</td>
              <td>-50.4 (9) 4.07</td>
              <td>-48.1 (25) 2.70</td>
              <td>-34.4 (55) 0.34</td>
              <td>-39.8 (89) 7.11</td>
            </tr>
            <tr>
              <td>http://epublications.bond.edu.au/ijbf/vol9/iss1/1</td>
              <td>When considering the effect that women on the board have on the financial returns, it was</td>
              <td></td>
              <td></td>
              <td></td>
              <td>18</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p>Panel A: Average Percent Change for all Corporations (average = 7.7 percent) Number of Female Directors None One Ethical corporations (%) 10.7 15.9 (n) (1) (10) χ2 stat NA 8.80 Remaining corporations</p>
      <p>(%) (n) χ2 stat</p>
      <p>Panel B: Average Percent Change for Corporations with Positive Returns (average = 19.9 percent) Number of Female Directors One None Ethical corporations (%) 10.7 21.5 (n) (1) (8) χ2 stat NA 0.13 Remaining corporations</p>
      <p>(%) (n) χ2 stat</p>
      <p>Panel C: Average Percent Change for Corporations with Negative Returns (average = -38.0 percent) Number of Female Directors One None Ethical corporations (%) na -6.6 (n) (0) (2) 25.92 χ2 stat NA Remaining corporations</p>
      <p>(%) (n) χ2 stat</p>
      <p>Multiple 16.4 (32) 9.90</p>
      <p>Total 16.2 (43) 18.70</p>
      <p>Multiple 20.5 (28) 0.02</p>
      <p>Total 20.4 (37) 0.15</p>
      <p>Multiple -11.9 (4) 17.90</p>
      <p>Total -10.1 (6) 43.82</p>
      <p>When considering the effect that women on the board have on the financial returns, it was interesting to find that stock prices varied by the direction of the return. While the corporations on either CRM’s or EM’s list had significantly greater increases in their stock prices compared to corporations not on these lists, this was not the case when we divided the sample into groups with gains versus losses. When analyzing the gains separately, our results indicated that being on CRM’s list had the opposite of what we anticipated. The corporations not listed by CRM had a slightly higher (3.3 percent) gain; however, the difference was not significant. There was not a difference with respect to the corporations on (not on) EM’s list. The data did not support our research hypothesis dealing with corporate reputation and stock prices for corporations with positive returns. When analyzing the losses separately, our results indicated that being on CRM’s or EM’s list was significantly associated with a reduction in price declines The corporations listed by CRM had a significantly lower loss in value than the corporations not on this list (-9.1 and -45.2 percent respectively). The corporations listed by EM also had a significantly lower loss in value than the corporations not on this list (-10.1 and -39.9 percent respectively). Consequently, there appears to be an economic benefit to being on either of these lists. When we tested our data for the proportion for female directors, we used the same groupings as we did to test for changes in stock prices (i.e., overall change and increasing-anddecreasing stock prices. The corporations listed by CRM consistently had a lower number of corporations with no female directors or only one female director and a higher than expected number of corporations with multiple female directors. The opposite was true for corporations that were not listed by CRM; a higher number of these corporations had no female directors or only one female director and a lower than expected number with multiple female directors. The corporations listed by EM had a lower number of corporations with no female directors or only one female director and a higher than expected number of corporations with multiple female directors. The opposite was true for corporations that were not listed by EM; these corporations consistently had a higher number with no female directors or only one female director and a lower than expected number of corporations with multiple female directors. The combined findings indicate that corporations on either CRM’s or EM’s list have a higher than expected number of boards that include multiple female directors. Additionally, the corporations on these lists are more likely to have higher overall changes in stock prices and lower decreases in their stock prices. The stock performance figures imply that higher numbers of women on boards may be able to alter the internal elements of an organization, thus decreasing the likelihood of a loss in value to shareholders. There are four inherent limitations to our study. First, we included only corporations listed in the 2010 Fortune 500. Our second limitation is that we used only CRM’s ‘100 Best Corporate Citizens List’ and EM’s 2010 ‘World’s Most Ethical Companies’ lists. Third, we examined only the effect of having female directors on boards of directors. Fourth, we used only changes in common stock prices. These limitations provide opportunities for future research in this area that include examining: a more diverse corporate sample; using other measures of corporate social responsibility; including minorities as board members; and, using other measures of financial performance. Future research could take the form of a longitudinal study that determines whether the organizations with a lower female boardroom presence experienced larger stock losses for a longer time period. Future studies might also consider using return on assets and return on equity as internal corporate performance measures to test whether the number of women on a board has an impact on these figures. Finally, future research could also survey investors to determine whether the number of women on the board associates with their valuation of the organization. Author information: The authors are staff members at the Gabelli School of Business, Roger Williams University, Bristol, RI 02809, United States of America. The corresponding author is Richar A. Bernardi, Professor of Accounting and Ethics: he may be contacted at E-mail: rbernardi@rwu.edu or Phone: 1-(401)-254-3672.</p>
      <sec id="sec2-1">
        <title>Appendix A</title>
        <p>Panel A: Corporate Responsibility Magazine’s Criteria for Identifying “100 Best Corporate Citizens” “100 Best Corporate Citizens” methodology uses publicly available information to determine the world’s top corporate responsibility ranking. CR Magazine contracts with a third party research organization to collect data and develop initial rankings. Once all the necessary information was collected, the companies were scored relative to their industry peers 324 data elements in 7 categories. Data Category Environment Climate Change Human Rights Employee Relations Philanthropy Financial Governance</p>
        <p># Data Elements</p>
        <p>2010 Weighting Percent 19.5% 16.5% 16.0% 19.5% 9.0% 12.5% 7.0%</p>
        <p>The companies included in the analysis were defined as the 2010 Russell 1000. The rankings are determined from the ordinal list of companies that results from applying the Corporate Citizenship Criteria detailed above. Panel B: Explanation of Corporate Responsibility Magazine’s Process CR Magazine’s researchers and editors employed a detailed process. The separate and sequential analyses conducted were: STEP 1 Selection of and Contracting with a Research Firm STEP 2 Determination of Evaluation Criteria STEP 3 Data Collection STEP 4 Data Sources STEP 5 Undisclosed Data STEP 6 Data Validation STEP 7 Review and Publication Where: Steps 1-2 determined that way that analysis would be completed and includes getting input and opinions from NGOs, academics, investment analysts, etc. Step 3-6 focus on data collection using only publicly available information (company websites, 10-Ks, government datasets, etc.). Undisclosed information negatively influences the company’s ranking. Data validation is done by the research team reviewing their work and by providing the opportunity for companies to correct factual inaccuracies. Step 7 allows companies two opportunities to review the datasets determined by the research team (not their rankings), after this period, the information and rankings are provided to CR. From Corporate Responsibility Magazine (2011)* *The 2011 methodology details were used as 2010 details were unavailable</p>
      </sec>
    </sec>
    <sec id="sec3">
      <title>APPENDIX B</title>
      <p>Ethisphere’s Criteria for Identifying “The World’s Most Ethical Companies” World’s Most Ethical Companies™ (WME) methodology analyzes companies that go beyond making statements about doing business ‘ethically’, to translate those words into action. WME winners demonstrate real and sustained ethical leadership within their industries, putting the Council’s credo of “Good, Smart, Business, Profit” into real business practice. The Ethics Quotient (EQ) framework is consists of a series of multiple-choice questions in five core categories. These are used to capture and rate a company’s performance in an objective, consistent, and standard manner. The categories and associated weighting are: 1. Ethics and Compliance Program 30% 2. Reputation, Leadership and Innovation 30% 3. Governance 15% 4. Corporate Citizenship and Responsibility 25% The EQ score is derived given the relationship to answers provided and formulas based on demographic qualifiers. The top percentile of performers in each of the 35 industries are then independently researched and analyzed to verify ethics performance. From Ethisphere (2010)</p>
    </sec>
  </body>
  <back>
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