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            </style> <strong>Table 7. The impact of limiting factors on willingness to perform monitoring.</strong><br><br><table><table frame="hsides" rules="groups"> <thead> <tr> <th valign="middle" align="center">Dependent Variable</th> <th valign="middle" align="center">Independent Variable</th> <th valign="middle" align="center"><italic>B<xref ref-type="table-fn" rid="T7n2"><sup>a</sup></xref></italic></th> <th valign="middle" align="center"><italic>S.E.<xref ref-type="table-fn" rid="T7n3"><sup>b</sup></xref></italic></th> <th valign="middle" align="center"><italic>OR<xref ref-type="table-fn" rid="T7n4"><sup>c</sup></xref></italic></th> <th valign="middle" align="center">95% <italic>CT<xref ref-type="table-fn" rid="T7n5"><sup>d</sup></xref></italic></th> <th valign="middle" align="center">p</th> </tr> </thead> <tbody> <tr> <td valign="middle" align="center" rowspan="7">Willingness to perform monitoring activity</td> <td valign="middle" align="center">Lack of competent professionals</td> <td valign="middle" align="center">1.396</td> <td valign="middle" align="center">0.714</td> <td valign="middle" align="center">4.039</td> <td valign="middle" align="center">(0.996~16.380)</td> <td valign="middle" align="center">.051</td> </tr> <tr> <td valign="middle" align="center">Administrative delay</td> <td valign="middle" align="center">0.812</td> <td valign="middle" align="center">0.532</td> <td valign="middle" align="center">2.252</td> <td valign="middle" align="center">(0.794~6.393)</td> <td valign="middle" align="center">.127</td> </tr> <tr> <td valign="middle" align="center">Lack of support cost for project planning</td> <td valign="middle" align="center">0.625</td> <td valign="middle" align="center">0.555</td> <td valign="middle" align="center">1.868</td> <td valign="middle" align="center">(0.629~5.541)</td> <td valign="middle" align="center">.260</td> </tr> <tr> <td valign="middle" align="center">Complexity of certification procedure</td> <td valign="middle" align="center">1.645</td> <td valign="middle" align="center">0.900</td> <td valign="middle" align="center">5.179</td> <td valign="middle" align="center">(0.888~30.226)</td> <td valign="middle" align="center">.068</td> </tr> <tr> <td valign="middle" align="center">Concern about transaction possibility</td> <td valign="middle" align="center">-0.589</td> <td valign="middle" align="center">0.589</td> <td valign="middle" align="center">0.555</td> <td valign="middle" align="center">(0.175~1.761)</td> <td valign="middle" align="center">.317</td> </tr> <tr> <td valign="middle" align="center">Lack of project managers’ expertise</td> <td valign="middle" align="center">-1.745</td> <td valign="middle" align="center">0.721</td> <td valign="middle" align="center">0.175<xref ref-type="table-fn" rid="T7n1"><sup>*</sup></xref></td> <td valign="middle" align="center">(0.042~0.718)</td> <td valign="middle" align="center">.016</td> </tr> <tr> <td valign="middle" align="center" colspan="6">−2LL= 32.558, NagelKerke R<sup>2</sup>=.509, Hosmer &amp; Lemeshow test: <italic>x<sup>2</sup></italic>=8.134(p=.421)</td> </tr> </tbody></table>p&lt;.05<br>Regression coefficient<br>Standard error<br>Odds ratio<br>Confidence Interval<br>