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 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher-id">Russian Journal of Management</journal-id>
   <journal-title-group>
    <journal-title xml:lang="en">Russian Journal of Management</journal-title>
    <trans-title-group xml:lang="ru">
     <trans-title>Russian Journal of Management</trans-title>
    </trans-title-group>
   </journal-title-group>
   <issn publication-format="print">2409-6024</issn>
   <issn publication-format="online">2500-1469</issn>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="publisher-id">30084</article-id>
   <article-id pub-id-type="doi">10.29039/article_5db87fadbf37b1.41575238</article-id>
   <article-categories>
    <subj-group subj-group-type="toc-heading" xml:lang="ru">
     <subject>Финансовый менеджмент</subject>
    </subj-group>
    <subj-group subj-group-type="toc-heading" xml:lang="en">
     <subject>Financial management</subject>
    </subj-group>
    <subj-group>
     <subject>Финансовый менеджмент</subject>
    </subj-group>
   </article-categories>
   <title-group>
    <article-title xml:lang="en">IMPROVEMENT OF METHODOLOGY FOR ANALYSING THE FINANCIAL SUSTAINABILITY OF AN ORGANIZATION</article-title>
    <trans-title-group xml:lang="ru">
     <trans-title>СОВЕРШЕНСТВОВАНИЕ МЕТОДИКИ АНАЛИЗА ФИНАНСОВОЙ УСТОЙЧИВОСТИ ОРГАНИЗАЦИИ</trans-title>
    </trans-title-group>
   </title-group>
   <contrib-group content-type="authors">
    <contrib contrib-type="author">
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Яремчук</surname>
       <given-names>Екатерина Александровна</given-names>
      </name>
      <name xml:lang="en">
       <surname>Yaremchuk</surname>
       <given-names>Ekaterina Aleksandrovna</given-names>
      </name>
     </name-alternatives>
     <xref ref-type="aff" rid="aff-1"/>
    </contrib>
    <contrib contrib-type="author">
     <contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-8188-6285</contrib-id>
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Музалёв</surname>
       <given-names>Сергей Владимирович</given-names>
      </name>
      <name xml:lang="en">
       <surname>Muzalev</surname>
       <given-names>Sergey Vladimirovich</given-names>
      </name>
     </name-alternatives>
     <email>msv.com@mail.ru</email>
     <bio xml:lang="ru">
      <p>кандидат экономических наук;</p>
     </bio>
     <bio xml:lang="en">
      <p>candidate of economic sciences;</p>
     </bio>
     <xref ref-type="aff" rid="aff-2"/>
    </contrib>
   </contrib-group>
   <aff-alternatives id="aff-1">
    <aff>
     <institution xml:lang="ru">Solutions Spring Ltd</institution>
     <city>Basingstoke</city>
     <country>Великобритания</country>
    </aff>
    <aff>
     <institution xml:lang="en">Solutions Spring Ltd</institution>
     <city>Basingstoke</city>
     <country>United Kingdom</country>
    </aff>
   </aff-alternatives>
   <aff-alternatives id="aff-2">
    <aff>
     <institution xml:lang="ru">Финансовый университет при Правительстве Российской Федерации</institution>
    </aff>
    <aff>
     <institution xml:lang="en">Financial University under the Government of the Russian Federation</institution>
    </aff>
   </aff-alternatives>
   <volume>7</volume>
   <issue>3</issue>
   <fpage>1</fpage>
   <lpage>5</lpage>
   <self-uri xlink:href="https://riorpub.com/en/nauka/article/30084/view">https://riorpub.com/en/nauka/article/30084/view</self-uri>
   <abstract xml:lang="ru">
    <p>В статье рассмотрена методика углубленного анализа финансовой устойчивости организации позволяющая присваивать определенный рейтинг компании.</p>
   </abstract>
   <trans-abstract xml:lang="en">
    <p>The article discusses the methodology for an in-depth analysis of the financial sustainability of an organization that allows assigning a certain rating to a company.</p>
   </trans-abstract>
   <kwd-group xml:lang="ru">
    <kwd>денежная рентабельность продаж</kwd>
    <kwd>денежное содержание чистой прибыли</kwd>
    <kwd>коэффициент «деньги-выручка»</kwd>
    <kwd>коэффициент адекватности денежного потока</kwd>
   </kwd-group>
   <kwd-group xml:lang="en">
    <kwd>cash flow return on sales</kwd>
    <kwd>cash to income ratio</kwd>
    <kwd>cash flow to sales ratio</kwd>
    <kwd>cash flow adequacy ratio</kwd>
   </kwd-group>
  </article-meta>
 </front>
 <body>
  <p>IntroductionIn the modern market economy, the financial sustainability analysis is one of the most important functions of effective management, required for the successful existence and development of an organization.The fullest picture of an organization&amp;#39;s financial sustainability is obtained by comprehensive financial analysis and not by reducing the analysis only to the accounting (financial) statements. However, the use of a comprehensive financial analysis requires high labour costs and the professional experience of the economists involved. Thus, it is should be emphasized once again that there is a pressing need to develop a methodology for assessing the financial sustainability of organizations. This methodology must take into account the industry specifics and allow analysing both an individual organization and an entire industry in the shortest possible time (Agapova, 2012).Methodology for Analysing the Financial Sustainability of an OrganizationCurrently, a sufficient number of methodologies exist for analysing the financial sustainability of an organization, and each methodology has a range of advantages and disadvantages (Dianov, 2018).Reviews of the studies of well-known economists enabled us to propose a methodology for analysing the financial sustainability of an organization that can be adjusted depending on industry specifics. It is based on calculating the following ratios, divided into two groups:I. Financial strength indicators of an organization (60% weight in the summary assessment)1. Current ratio is a financial ratio that measures whether or not a firm has enough resources to pay its debts. The current ratio is an indication of a firm&amp;#39;s market liquidity and ability to meet creditor&amp;#39;s demands. 2. Acid-test or quick ratio or liquid ratio measures the ability of a company to use its near cash or quick assets to extinguish or retire its current liabilities immediately.3. Cash ratio is most commonly used as a measure of company liquidity. It can therefore determine if, and how quickly, the company can repay its short-term debt.4. Equity ratio is a financial ratio indicating the relative proportion of equity used to finance a company&amp;#39;s assets.5. The debt-to-equity ratio is a financial ratio indicating the relative proportion of shareholders&amp;#39; equity and debt used to finance a company&amp;#39;s assets.6. Debt ratio indicates the relationship between capital supplied by outsiders and capital supplied by shareholders. 7. Non-current assets to Net worth ratio measure the extent of a company&amp;#39;s investment in low-liquid non-current assets. It is the ratio of the value of fixed assets to equity capital and reserves, which shows what percentage of its own sources of funds sent to cover the non-current assets (Muzalev, 2016).8. Capital equity mobility ratio measures share capital invested in current assets.9. Capitalization ratio measures the debt component of a company&amp;#39;s capital structure, or capitalization to support a company&amp;#39;s operations and growth.10. Cash return on sales ratio gives the analysts and investors indications about the ability of a company to generate cash from its sales. In other words, it shows the ability of a company to turn its sales into cash. The higher this ratio is the better it is for the company. Company with such a trend in this ratio is good investment opportunities.11. Operations index characterizes the financial cycle of the company reflects the management of mutual settlements with contractors.12. CFO to net income shows the percentage of net income in the form of real money.13. Cash Flow Return on Assets ratio used to compare a business’s performance among other industry members. The ratio can be used internally by the company&amp;#39;s analysts, or by potential and current investors. A high ratio can indicate that a higher return is to be expected and the more cash the company has available for reintegration into the company.14. OCF to EBITDA shows the real money filling in operating profit before interest and depreciation and amortization15. Free Cash Flow to Cash Flow from Operations ratio measures the relationship between free cash flow and operating cash flow. The more free cash flows are embedded in the operating cash flows of a company, the better it is. 16. Cash/Sales ratio indicates the effectiveness of the company&amp;#39;s credit and collection policies, and the amount of cash required for unexpected delays in cash collection. 17. Cash Interest Coverage ratio is a measure of the number of times a company could make the interest payments on its debt with its earnings before interest and taxes. 18. Cash Flow Adequacy ratio indicates a company&amp;#39;s capability of covering capital expense, debt repayment and dividends from cash flow generated from operating activities. Cash flow adequacy is the primary measure of cash sufficiency.19. Capital Expenditure ratio measures a company&amp;#39;s ability to acquire long term assets using free cash flow. The cash flow to capital expenditures (CF to CAPEX) ratio will often fluctuate as businesses go through cycles of large and small capital expenditures.20. Dividend Payout ratio provides an idea of how well earnings support the dividend payments. More mature companies tend to have a higher payout ratio.21. Reinvestment ratio is used to estimate the amount of cash flow that management reinvests in a business.22. Debt Service Coverage ratio is used in banking to determine a company&amp;#39;s ability to generate enough income in its operations to cover the expense of a debt. Indicates that the company’s net operating income is enough to cover only of its annual debt payments.23. Cash Maturity Coverage ratio indicates the ability to repay long term maturities as they mature and indicates whether long term debt maturities are in time with operating cash flow.24. Cash Flow to Total Debt ratio provides an indication of a company&amp;#39;s ability to cover total debt with its yearly cash flow from operations.25. Cash debt coverage ratio is an indicator of the possibility of a company to pay interest and principal amounts when they become due. This ratio tells the number of times the financial obligations of a company are covered by its earnings.26. Years Debt ratio shows the number of years during which the company has possible to pay its debt (Suglobov, 2016).II. Performance indicators of an organization (40% weight in the summary assessment)1. Capital turnover is a measure of how well a company uses its stockholders&amp;#39; equity to generate revenue.2. Inventory turnover is a measure of the number of times inventory is sold or used in a time period.3. Receivables turnover measures the number of times, on average; receivables are collected during the period. 4. Payables turnover measures show investors how many times per period the company pays its average payable amount.5. Operating cycle is the amount of time it takes for a company to turn cash used to purchase inventory into cash once again.6. Cash conversion cycle measures how long a firm will be deprived of cash if it increases its investment in resources in order to expand customer sales. It is thus a measure of the liquidity risk entailed by growth.7. Return on sales, % the percentage of sales revenue that gets &amp;#39;returned&amp;#39; to the company as net profits after all the related costs of the activity are deducted8. Return on invested capital, % measures the return that an investment generates for those who have provided capital, i.e. bondholders and stockholders.  ROIC tells how good a company is at turning capital into profits.9. Return on assets, % the percentage shows how profitable a company&amp;#39;s assets are in generating revenue.10. Return on equity, % the percentage measures a firm&amp;#39;s efficiency at generating profits from every unit of shareholders&amp;#39; equity. ROE shows how well a company uses investment funds to generate earnings growth.11. Return on net assets, % is a measure of financial performance of a company which takes the use of assets into account. Higher RONA means that the company is using its assets and working capital efficiently and effectively. (Yaremchuk, 2019).12. Altman’s Model (USA) 13. Liss’s Model (UK) 14. Taffler’s Model (UK) 15. Springate’s Model (USA)The assessment of a specific indicator is based on three components:“Past” is an estimate of the mean for the periods preceding the reporting one (25% weight in the summary assessment of the indicator);“Present” is an assessment of the value for the last period (reporting date) (60% weight in the summary assessment);“Future” is an assessment of the indicator value a year after the reporting date, obtained by a linear trend (15% weight in the summary assessment).The values for each indicator are assigned as follows:“-2” - very bad;“-1” - bad;“+1” - good;“+2” - very good.Next, the weighted average of each indicator is calculated based on the weight of the three main components. Then the coefficient is determined by multiplying the weight of each indicator in the total volume of the considered coefficients divided into groups by the obtained weighted average.The financial rating is determined by averaging two comprehensive assessments such as the financial position and financial performance of the organization (in a ratio of 60% to 40%).The following financial sustainability ratings can be assigned based on the analysis results for an organization:AAA - excellent;AA - very good;A - good;BBB - positive;BB - normal;B - satisfactory;CAS - unsatisfactory;SS - bad;C - very bad;D - critical.ResultNext, we will consider testing the proposed methodology for determining an organization&amp;#39;s financial sustainability on the example of Associated British Foods; Dairy Crest Group, which is one of the leading British companies that produces and sells consumer goods, mainly food, beverages, household chemicals, and tobacco products.In the beginning, we will calculate the proposed indicators and present the result in Table 1.Table 1. Calculation of the indicators according to the methodologyIndicators2005-201620172018Current ratio1,281,651,37Quick ratio0,770,980,67Cash ratio0,210,490,19Equity ratio0,570,660,64Debt-to-equity ratio0,570,520,58Debt- ratio0,350,340,36Non-current assets to Net worth ratio0,980,911,00Equity mobility ratio-0,060,090,00Capitalization ratio0,160,130,13Capital conversion period166,31182165,83Inventory conversion period48,466366,18Receivables conversion period34,383128,92Payables conversion period38,624535,79Operating cycle82,629594,94Cash conversion cycle44,085059,48Return on sales6,448,78,35Return on invested capital6,6013,5411,08Return on assets4,9610,018,14Return on equity8,0115,5912,86Return on net assets8,7717,6214,71Altman’s Model0,450,620,61Liss’s Model0,050,070,07Taffler’s Model-1,55-2,01-1,84Springate’s Model1,061,651,51Cash return on sales ratio7,239,6110,79Operations index94,77110,44131,03CFO to net income143,19121,84190,73Cash Flow Return on Assets ratio8,3812,214,01OCF to EBITDA74,6271,89100,10Free Cash Flow to Cash Flow from Operations ratio1,661,711,46Cash/Sales ratio0,040,070,04Cash Interest Coverage ratio0,941,151,10Cash Flow Adequacy ratio-2,67-5,2-6,63Capital Expenditure ratio-1,30-1,86-2,20Dividend Payout ratio-0,22-0,17-0,09Reinvestment ratio-0,08-0,020,09Debt Service Coverage ratio50,541 368,33596,55Cash Maturity Coverage ratio0,420,550,61Cash Flow to Total Debt ratio0,220,340,38Cash debt coverage ratio0,270,40,45Years Debt ratio2,792,511,96 Then, we will present the boundary distribution of the proposed indicators and assign each indicator value from “-1” to “+2” (Table 2).Table 2. Defining the boundaries of the proposed indicatorsIndicators-2-1+1+2Current ratio&lt;0.75&gt;1.730.75-1.241.24-1.73Quick ratio&lt;0.54&gt;0.930.54-0.740.74-0.93Cash ratio&lt;0.2&gt;0.290.2-0.250.25-0.29Equity ratio &lt;0.290.29-0.350.35-0.41&gt;0.41Debt-to-equity ratio&gt; 8.504.25-8.501-4.25&lt;1Debt- ratio &gt;0.710.65-0.710.59-0.65 &lt;0.59Non-current assets to Net worth ratio &gt;6.293.65-6.291-3.65 &lt;1Equity mobility ratio &lt;1&gt;2.421-1.211.21-2.42Capitalization ratio &gt;0.610.41-0.560.56-0.61≤0.41Capital conversion period&gt;212181-212101-181&lt;101Inventory conversion period&gt;14462-14447-62&lt;47Receivables conversion period&gt;6033-6031-33&lt;31Payables conversion period&gt;9942-9921-42&lt;21Operating cycle&gt;11499-11483-99&lt;83Cash conversion cycle&gt;815-810-5&lt;0Return on sales&lt;4.244.24-8.258.25-12.37&gt;12.37Return on invested capital&lt;5.865.86-10.9610.96-16.95&gt;16.95Return on assets&lt;4.324.32-8.128.12-11.26&gt;11.26Return on equity&lt;7.437.43-12.8112.81-30.95&gt;30.95Return on net assets&lt;7.937.93-14.4314.43-22.69&gt;22.69Altman’s Model&lt;0.10.1-0.20.2-0.3&gt;0.3Liss’s Model&lt;0.250.025-0.0370.037-0.05&gt;0.05Taffler’s Model&lt;-2-2-(-0.3)-0.3-0.3&gt;0.3Springate’s Model&lt;0.50.5-0.8620.862-1.5&gt;1.5Cash return on sales ratio&lt;00-11-9.68&gt;9.68Operations index&lt;00-11-117.79&gt;117.79CFO to net income&lt;00-11-159.28&gt;159.28Cash Flow Return on Assets ratio&lt;00-11-12.10&gt;12.10OCF to EBITDA&lt;00-11-86.27&gt;86.27Free Cash Flow to Cash Flow from Operations ratio&lt;00-11-1.70&gt;1.70Cash/Sales ratio&lt;00-0.050.05-1&gt;1Cash Interest Coverage ratio&lt;00-11-1.12&gt;1.12Cash Flow Adequacy ratio&lt;00-11-5.05&gt;5.05Capital Expenditure ratio&lt;00-11-1.87&gt;1.87Dividend Payout ratio&lt;00-10,17&gt;60Reinvestment ratio&lt;00-0.010.01-1&gt;1Debt Service Coverage ratio&lt;00-11-711.22&gt;711.22Cash Maturity Coverage ratio&lt;00-0.550.55-1&gt;1Cash Flow to Total Debt ratio&lt;00-0.330.33-1&gt;1Cash debt coverage ratio&lt;00-0.390.39-1&gt;1Years Debt ratio&lt;00-11-2.57&gt;2.57 Now, we will analyse the calculated data for the company in question and present the result in Table 3.Table 3. The analysis result based on the proposed methodologyIndicators2005-2018Вес показателяPastPresentFutureAverageScoreI. Rating of the company&amp;#39;s financial positionCurrent ratio1,480,00132+2+2+22,000,0026Quick ratio0,830,00074+2-1+10,050,0000Cash ratio0,310,00028+2-1-2-0,40-0,0001Equity ratio0,640,00057+2+2+22,000,0011Debt-to-equity ratio0,570,00051+2+2+22,000,0010Debt- ratio0,360,00032+2+2+22,000,0006Non-current assets to Net worth ratio0,990,00088+1+2+11,600,0014Equity mobility ratio0,010,00001-2-2-2-2,000,0000Capitalization ratio0,150,00013+2+2+22,000,0003Cash return on sales ratio9,680,00867+1+1+21,150,0100Operations index117,780,10559+1+1+21,150,1214CFO to net income159,280,14279+2+1+21,400,1999Cash Flow Return on Assets ratio12,100,01085+1+2+21,750,0190OCF to EBITDA86,270,07734+2+1+21,400,1083Free Cash Flow to Cash Flow from Operations ratio1,700,00153+2+2+11,850,0028Cash/Sales ratio0,050,00005+1+1-10,700,0000Cash Interest Coverage ratio1,120,00100+1+2+11,600,0016Cash Flow Adequacy ratio5,050,00453-2-2-2-2,00-0,0091Capital Expenditure ratio1,870,00168-2-2-2-2,00-0,0034Dividend Payout ratio0,170,00015-2-2-2-2,00-0,0003Reinvestment ratio0,010,00001-2-2+1-1,550,0000Debt Service Coverage ratio711,220,63759+1+2+11,601,0201Cash Maturity Coverage ratio0,550,00050-1+1+10,500,0002Cash Flow to Total Debt ratio0,330,00030-1+1+10,500,0001Cash debt coverage ratio0,390,00035-2+1+10,250,0001Years Debt ratio2,570,00230+2+1+11,250,0029Total1115,491,00000    1,48085II. Rating of the company&amp;#39;s financial performanceCapital conversion period0,500,08455-1-1+1-0,70-0,0592Inventory conversion period0,170,02910+1-1-1-0,50-0,0145Receivables conversion period0,090,01553-1+2+21,250,0194Payables conversion period0,120,01967-1-1-1-1,00-0,0197Operating cycle0,260,04473+1+1+11,000,0447Cash conversion cycle0,150,02513-1-1-1-1,00-0,0251Return on sales0,080,01407-1+1+10,500,0070Return on invested capital0,110,01869-1+1+10,500,0093Return on assets0,080,01384-1+1+10,500,0069Return on equity0,130,02183-1+1+10,500,0109Return on net assets0,140,02460-1+1+10,500,0123Altman’s Model0,590,10061+2+2+22,000,2012Liss’s Model0,070,01143+2+2+22,000,0229Taffler’s Model1,900,32352+1+1+11,000,3235Springate’s Model1,480,25271+1+2+21,750,4422Total5,871,00000    0,98195TOTAL1,2813 As it is shown in Table 3, the final sum obtained in the analysis was 1.2813. Now we will compare the obtained result with the table value and assign a financial sustainability rating to the company under study (Table 4).Table 4. Determining the financial sustainability ratingScoreRatingFinancial performancefrombefore1,62AAAExcellent1,21,6AAVery good0,81,2AGood0,40,8BBBPositive00,4BBNormal-0,40BSatisfactory-0,8-0,4CCCUnsatisfactory-1,2-0,8CCAdverse-1,6-1,2CBad-2-1,6DCritical Based on the analysis results, an AA rating can be assigned, corresponding to a high level of financial sustainability and indicating the company&amp;#39;s sustainable financial condition and its stable market position.ConclusionThe study proposed a methodology to determine a company&amp;#39;s rating by its financial sustainability. The methodology will not only enable the company&amp;#39;s management to evaluate their financial condition as accurately as possible but also allow the main groups of stakeholders to assess the financial sustainability of the organization in more detail.</p>
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 <back>
  <ref-list>
   <ref id="B1">
    <label>1.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Agapova, T. Muzaleva, T. (2012) Use of statistical methods to assess the impact of socio-economic indicators on the level of crime in the country, Journal of the Volga State University of Service, 2012, 23 (1), pp. 48-51.</mixed-citation>
     <mixed-citation xml:lang="en">Agapova, T. Muzaleva, T. (2012) Use of statistical methods to assess the impact of socio-economic indicators on the level of crime in the country, Journal of the Volga State University of Service, 2012, 23 (1), pp. 48-51.</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B2">
    <label>2.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Dianov D, Suglobov A, Dyatlova A. (2018) The application of statistical methods in the study of unprofitable organizations' activities, International scientific conference “investment, construction, real estate: new technologies and special-purpose development priorities” (ICRE 2018) Irkutsk, Russia.</mixed-citation>
     <mixed-citation xml:lang="en">Dianov D, Suglobov A, Dyatlova A. (2018) The application of statistical methods in the study of unprofitable organizations' activities, International scientific conference “investment, construction, real estate: new technologies and special-purpose development priorities” (ICRE 2018) Irkutsk, Russia.</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B3">
    <label>3.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Muzalev, S. (2016) Features of the use of methods of statistical analysis in the activities of the organization, Analysis and modern information technology in ensuring economic security of business and the state, Collection of scientific works and the results of joint research projects, Moscow: RGU named by Plekhanov, G.</mixed-citation>
     <mixed-citation xml:lang="en">Muzalev, S. (2016) Features of the use of methods of statistical analysis in the activities of the organization, Analysis and modern information technology in ensuring economic security of business and the state, Collection of scientific works and the results of joint research projects, Moscow: RGU named by Plekhanov, G.</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B4">
    <label>4.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Suglobov, A., Muzalev, S., Yaremchuk, E. (2016) Use of strategic analysis to assess the effect of sanctions on the Russian economy, Journal of Issues of regional economy, 4 (29), pp. 130-137.</mixed-citation>
     <mixed-citation xml:lang="en">Suglobov, A., Muzalev, S., Yaremchuk, E. (2016) Use of strategic analysis to assess the effect of sanctions on the Russian economy, Journal of Issues of regional economy, 4 (29), pp. 130-137.</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B5">
    <label>5.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Yaremchuk, E. (2019). Express analysis, Data protection: legal guidance [www.express-analysis.com].</mixed-citation>
     <mixed-citation xml:lang="en">Yaremchuk, E. (2019). Express analysis, Data protection: legal guidance [www.express-analysis.com].</mixed-citation>
    </citation-alternatives>
   </ref>
  </ref-list>
 </back>
</article>
