<?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">IIM</journal-id><journal-title-group><journal-title>Intelligent Information Management</journal-title></journal-title-group><issn pub-type="epub">2160-5912</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/iim.2022.146013</article-id><article-id pub-id-type="publisher-id">IIM-121048</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Computer Science&amp;Communications</subject></subj-group></article-categories><title-group><article-title>
 
 
  Comparing the Efficiency of Manual and Electronic Tender Document Preparation: Cost and Time Context
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Md.</surname><given-names>Abdur Rashid</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>Mohammad</surname><given-names>Shorif Uddin</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Bangladesh University of Professionals, Dhaka, Bangladesh</addr-line></aff><aff id="aff2"><addr-line>Department of Computer Science and Engineering, Jahangirnagar University, Savar, Bangladesh</addr-line></aff><pub-date pub-type="epub"><day>08</day><month>11</month><year>2022</year></pub-date><volume>14</volume><issue>06</issue><fpage>195</fpage><lpage>201</lpage><history><date date-type="received"><day>13,</day>	<month>October</month>	<year>2022</year></date><date date-type="rev-recd"><day>5,</day>	<month>November</month>	<year>2022</year>	</date><date date-type="accepted"><day>8,</day>	<month>November</month>	<year>2022</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>
 
 
  In Bangladesh, both manual and e-GP system is used to perform public procurement. Before tender publication, tender documents have to be prepared by the Procurement Entities (PEs). The problem is that the manual tendering system involves more cost and time in preparing tender documents. The study’s purpose is to compare now the efficiency of tender document preparation in the manual system with the e-GP system. This study tests the cost and time involved in tender document preparation, both manual and e-procurement tenders. Sample data was collected from the 11 RHD zones. Structured survey questionnaires were used to collect primary data from the PE officers of RHD. A hypothesis test was performed using the model of independent samples t-test. The test results indicated that e-Procurement tender document preparation costs and time were less than manual tendering. Academicians, researchers, PE officers, and policymakers will benefit from the study’s conclusions.
 
</p></abstract><kwd-group><kwd>Tender Document Preparation Cost</kwd><kwd> Tender Document Preparation Time</kwd><kwd> E-Procurement</kwd><kwd> T-Test</kwd><kwd> E-GP System</kwd><kwd> Public Procurement</kwd><kwd> RHD</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Electronic Government Procurement (e-GP) was formed in 2011 in response to a World Bank report [<xref ref-type="bibr" rid="scirp.121048-ref1">1</xref>] urging Bangladesh to increase the efficacy, credibility, and transparency of all public procurement. Since 2011, the e-GP system is currently operational in Bangladesh. However, Procurement Entities (PEs) and all bidders continue to face issues [<xref ref-type="bibr" rid="scirp.121048-ref2">2</xref>] and assessments have yet to be completed following the deployment of the e-GP system. The study’s purpose is to see if the cost and time of preparing e-tender documents are cheaper than that of preparing manual tender documents.</p><p>Problem Statement</p><p>During the tender procedure cycle, the tedious duty at the PE office is preparing Standard Tender Documents (STDs). Tender proposals cannot be published until the standard tender documents are completed. Tender documents are formal paperwork that contains the many points that PE officers must fill out. In a manual tender system, preparing tender documents requires more time and cost. In addition, PE officers may not be interested in creating the document. As a result, the tendering process is delayed.</p><p>Study Rationale</p><p>One of the study’s objectives was “to compare the procurement efficiency of the RHD development project’s manual and e-Procurement tenders”. It will be demonstrated that e-procurement systems are in a better position to create tender documents. Primary data collected from the RHD field level is used to prove a point via a hypothesis test. This encourages PE officials in RHD to use the e-Procurement system.</p><p>This study’s original use is to demonstrate the effectiveness and efficiency of Bangladesh’s e-procurement system. PE officers will be more aware of manual tenders as a result of the study’s findings and will be motivated to use the e-procurement system more.</p></sec><sec id="s2"><title>2. Related Literature</title><p>Tender Document Preparation</p><p>Tender documents must be prepared whenever the procurement organization has decided to procure goods, works, or services. This tender document is the paper written by a procurement entity’s need or desire. The size of the tender document, or the number of pages, is determined by the type of procurement and the contract’s total value. The Standard Tender Document (STD) can be downloaded from the CPTU website and then customized for each procurement entity. Tenderers must purchase the STD after the tender notice is issued. The tenderer decides to submit a bid after studying all PE requirements and specifications in the STD.</p><p>Standard Tender Documents</p><p>“Tender document or request for proposal document” refers to the document issued by the PE to the tenderer or consultant to review and fill out in preparation for submitting a tender or proposal [<xref ref-type="bibr" rid="scirp.121048-ref3">3</xref>]. The Procuring Entities (PEs) provides a particular tender form [<xref ref-type="bibr" rid="scirp.121048-ref4">4</xref>] at the regular cost. The contract conditions and any relevant requirements are printed in this tender form. Tender documents include detailed specifications for the expected goods or services.</p><p>The PE offices must complete separate Standard Tender Document (STD) forms [<xref ref-type="bibr" rid="scirp.121048-ref5">5</xref>] for Goods, Works, and Services. Each STD form has a unique code. Tender document preparation costs and the time involved are higher in the manual tendering approach. On the other side, tender document preparation costs and the time involved are lower in the e-GP system.</p></sec><sec id="s3"><title>3. Research Method</title><p>This section intends to explain the study methodology i.e. data collection techniques and related issues.</p><p>1) Research Design and Data Collection Techniques</p><p>The study’s goal was to “compare the procurement efficiency of the RHD development project between traditional purchase and e-Procurement purchasing”. The RHD in Bangladesh was used to collect the primary data. RHD was chosen because it has been one of the largest departments actively using e-GP for procurement as a pilot basis since 2011 when the system was implemented in Bangladesh. This survey uses structured questionnaires to obtain primary data to achieve the study’s purpose. The primary data in this study comes from RHD PE officers who are active in the manual and electronic procurement systems.</p><p>2) Target Population</p><p>The population was RHD PE officers. Data were collected during visits to the RHDs of multiple Procurement Entity (PE) offices in Bangladesh. Bangladesh’s RHD was studied throughout 11 zones, 31 circles, and 70 divisions. The survey used a stratified sample method to select e-Procurement-related PE officers in RHD. The total respondent sample size for the survey question on the cost and time involved in tender document preparation was 70 PE officers in RHD.</p><p>3) Validity and Reliability</p><p>A pilot study was done with select PE officers in RHD to determine the instrument’s reliability. Instruments were finalized and used for data collection after receiving comments from the pilot study. This assured the integrity and reliability of the data.</p><p>4) Data Analysis</p><p>SPSS software was used to enter and analyze the primary data, because SPSS is one of the top data analysis and inference software. To compare data and test hypotheses from two groups, the independent samples t-test was performed.</p><p>Tender Document Preparation Cost</p><p>The independent samples t-test compares two groups on a continuous normally distributed variable’s mean.</p><p>Here, Test Variable(s) i.e. two independent variable(s) are:</p><p>E-tender documents preparation cost (after e-GP system) and manual tender documents preparation cost (before e-GP system) whose means have been compared between the two groups.</p><p>Let’s consider, Null Hypothesis H<sub>0</sub>: &#181;<sub>1</sub> = &#181;<sub>2</sub>.</p><p>Alternative Hypothesis H<sub>a</sub>: &#181;<sub>1</sub> ≠ &#181;<sub>2</sub>.</p><p>&#181;<sub>1</sub> = population means for tender documents preparation cost for e-tender.</p><p>&#181;<sub>2</sub> = population means for tender documents preparation cost for manual tender.</p><p>Significance level p = α = 0.05.</p><p>Confidence interval level = 95%.</p><p>Tender Document Preparation Time</p><p>The independent samples t-test was done to test compares two groups on the mean value of a continuous normally distributed variable.</p><p>Here, Test Variable(s) i.e. two independent variable(s) are:</p><p>E-tender tender document preparation time (after e-GP system) and manual tender document preparation time (before e-GP system) whose means have been compared between two groups.</p><p>Let’s consider, Null Hypothesis H<sub>0</sub>: &#181;<sub>1</sub> = &#181;<sub>2</sub>.</p><p>Alternative Hypothesis H<sub>a</sub>: &#181;<sub>1</sub> ≠ &#181;<sub>2</sub>.</p><p>&#181;<sub>1</sub> = population means for tender document preparation time for e-tender.</p><p>&#181;<sub>2</sub> = population means for tender document preparation time for manual.</p><p>Significance level p = α = 0.05.</p><p>Confidence interval level = 95%.</p><p>5) Ethical Considerations</p><p>The researcher conducted the questions after obtaining approval from the Ph.D. supervisor. Before questioning PE officers, a formal letter was sent to the Chief Engineer of the RHD in Bangladesh. These PE officers were part of RHD’s e-procurement system. Respondents were told that they had the right to refuse to participate in the participation in the study. Respondents were assured that their responses would only be used for research purposes. Anonymity was promised. There were no interviews conducted that were not related to the e-procurement system.</p></sec><sec id="s4"><title>4. Results and Discussions</title><p>The findings and their interpretation and analysis are based on primary field data collected following the study’s objectives. SPSS software was used to conduct the analysis. In the context of tender document preparation cost and time, a t-test is used to compare procurement efficiency between manual and e-Procurement. PE officers in RHD were the respondents.</p><p>Tender Document Preparation Cost</p><p>T-test Result</p><p>Group statistics of <xref ref-type="table" rid="table1">Table 1</xref> show that the average tender documents preparation cost, i.e. mean value for e-tender cost and manual system cost, are taka 475.3623 &amp; 7089.1304, respectively.</p><p><xref ref-type="table" rid="table2">Table 2</xref> observed from Levene’s test that the F value is 50.799 &amp; its Sig. value is 0.000. Here, the sig.-value (0.000) is less than the p-value (0.05), i.e. significant. This indicates that equal variances are not assumed here and rely on the second row of output.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Group statistics for tender document preparation cost</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="6"  >Group Statistics</th></tr></thead><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Tender Type</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >Mean</td><td align="center" valign="middle" >Std. Deviation</td><td align="center" valign="middle" >Std. Error Mean</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Taka</td><td align="center" valign="middle" >E-tender</td><td align="center" valign="middle" >69</td><td align="center" valign="middle" >475.3623</td><td align="center" valign="middle" >798.41862</td><td align="center" valign="middle" >96.11831</td></tr><tr><td align="center" valign="middle" >Manual</td><td align="center" valign="middle" >69</td><td align="center" valign="middle" >7089.1304</td><td align="center" valign="middle" >8637.19670</td><td align="center" valign="middle" >1039.79629</td></tr></tbody></table></table-wrap><p>Source: Researcher’s field survey, 2020.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Comparing tender document preparation cost</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="11"  >Independent Samples Test</th></tr></thead><tr><td align="center" valign="middle"  colspan="2"   rowspan="3"  ></td><td align="center" valign="middle"  colspan="2"  >Levene’s Test for Equality of Variances</td><td align="center" valign="middle"  colspan="7"  >T-test for Equality of Means</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >F</td><td align="center" valign="middle"  rowspan="2"  >Sig.</td><td align="center" valign="middle"  rowspan="2"  >t</td><td align="center" valign="middle"  rowspan="2"  >df</td><td align="center" valign="middle"  rowspan="2"  >Sig. (2-tailed)</td><td align="center" valign="middle"  rowspan="2"  >Mean Difference</td><td align="center" valign="middle"  rowspan="2"  >Std. Error Difference</td><td align="center" valign="middle"  colspan="2"  >95% Confidence Interval of the Difference</td></tr><tr><td align="center" valign="middle" >Lower</td><td align="center" valign="middle" >Upper</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Taka</td><td align="center" valign="middle" >Equal Variances Assumed</td><td align="center" valign="middle" >50.799</td><td align="center" valign="middle" >0.000</td><td align="center" valign="middle" >−6.334</td><td align="center" valign="middle" >136</td><td align="center" valign="middle" >0.0</td><td align="center" valign="middle" >−6613.76812</td><td align="center" valign="middle" >1044.22941</td><td align="center" valign="middle" >−8678.79524</td><td align="center" valign="middle" >−4548.74099</td></tr><tr><td align="center" valign="middle" >Equal Variances Not Assumed</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >−6.334</td><td align="center" valign="middle" >69.162</td><td align="center" valign="middle" >0.0</td><td align="center" valign="middle" >−6613.76812</td><td align="center" valign="middle" >1044.22941</td><td align="center" valign="middle" >−8696.86172</td><td align="center" valign="middle" >−4530.67451</td></tr></tbody></table></table-wrap><p>Source: Researcher’s field survey (2020).</p><p>The second-row t-value is −6.334, negative, left tailed &amp; the Sig. (2-tailed)/2 = 0.000/2 = 0.000. Here, the sig.-value is less than the p-value, which is significant. This indicates that the Null Hypothesis H<sub>0</sub> is rejected &amp; Alternative Hypothesis H<sub>a</sub> is accepted, i.e. &#181;<sub>1</sub> ≠ &#181;<sub>2</sub>.</p><p>Tender Document Preparation Time</p><p>T-test Result</p><p>The average tender document preparation time, i.e. the mean value for e-tender time and manual system time, is 2.7650 &amp; 7.2571 days, respectively, according to group statistics in <xref ref-type="table" rid="table3">Table 3</xref>.</p><p><xref ref-type="table" rid="table4">Table 4</xref> observed from Levene’s test that the F value is 0.015 &amp; its Sig. value is 0.901. Here, the sig.-value (0.901) is bigger than the p-value (0.05), i.e. insignificant. This indicates that equal variances are assumed here and rely on the first row of output.</p><p>The first-row t-value is −4.869, negative, left tailed &amp; the Sig. (2-tailed)/2 = 0.000/2 = 0.000. Here, the sig.-value is less than the p-value, which is significant. This indicates that the Null Hypothesis H<sub>0</sub> is rejected &amp; Alternative Hypothesis H<sub>a</sub> is accepted, i.e. &#181;<sub>1</sub> ≠ &#181;<sub>2</sub>.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Group statistics for tender document preparation time</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="6"  >Group Statistics</th></tr></thead><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Tender Type</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >Mean</td><td align="center" valign="middle" >Std. Deviation</td><td align="center" valign="middle" >Std. Error Mean</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Days</td><td align="center" valign="middle" >E-tender</td><td align="center" valign="middle" >70</td><td align="center" valign="middle" >2.7650</td><td align="center" valign="middle" >5.64647</td><td align="center" valign="middle" >0.67488</td></tr><tr><td align="center" valign="middle" >Manual</td><td align="center" valign="middle" >70</td><td align="center" valign="middle" >7.2571</td><td align="center" valign="middle" >5.26318</td><td align="center" valign="middle" >0.62907</td></tr></tbody></table></table-wrap><p>Source: Researcher’s field survey (2020).</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Comparing tender document preparation time</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="11"  >Independent Samples Test</th></tr></thead><tr><td align="center" valign="middle"  colspan="2"   rowspan="3"  ></td><td align="center" valign="middle"  colspan="2"  >Levene’s Test for Equality of Variances</td><td align="center" valign="middle"  colspan="7"  >T-test for Equality of Means</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >F</td><td align="center" valign="middle"  rowspan="2"  >Sig.</td><td align="center" valign="middle"  rowspan="2"  >t</td><td align="center" valign="middle"  rowspan="2"  >df</td><td align="center" valign="middle"  rowspan="2"  >Sig. (2-tailed)</td><td align="center" valign="middle"  rowspan="2"  >Mean Difference</td><td align="center" valign="middle"  rowspan="2"  >Std. Error Difference</td><td align="center" valign="middle"  colspan="2"  >95% Confidence Interval of the Difference</td></tr><tr><td align="center" valign="middle" >Lower</td><td align="center" valign="middle" >Upper</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Days</td><td align="center" valign="middle" >Equal Variances Assumed</td><td align="center" valign="middle" >0.015</td><td align="center" valign="middle" >0.901</td><td align="center" valign="middle" >−4.869</td><td align="center" valign="middle" >138</td><td align="center" valign="middle" >0.000</td><td align="center" valign="middle" >−4.49214</td><td align="center" valign="middle" >0.92260</td><td align="center" valign="middle" >−6.31641</td><td align="center" valign="middle" >−2.66788</td></tr><tr><td align="center" valign="middle" >Equal Variances Not Assumed</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >−4.869</td><td align="center" valign="middle" >137.324</td><td align="center" valign="middle" >0.000</td><td align="center" valign="middle" >−4.49214</td><td align="center" valign="middle" >0.92260</td><td align="center" valign="middle" >−6.31649</td><td align="center" valign="middle" >−2.66780</td></tr></tbody></table></table-wrap><p>Source: Researcher’s field survey (2020).</p></sec><sec id="s5"><title>5. Conclusions</title><p>The study’s findings are based on data collected from Bangladesh’s RHD population. Structured questionnaires were developed following the research methodology and with the study’s objectives in mind. Eleven RHD zones were used to collect data. The Independent Sample t-test was used to analyze survey sample data. The researcher analyzes data to determine the procurement efficiency in the tender document preparation of manual and e-procurement for the RHD public procurement context of time and cost. The efficiency of a manual tender vs. an e-procurement tender is compared to tender document preparation by the RHD officers.</p><p>The average tender document preparation cost of a PE officer, i.e. the mean value for e-tender cost and manual system cost Bangladesh Taka 475.3623 and 7089.1304, respectively. This suggests the cost of e-tender tender document preparation is less than the cost of manual tender document preparation. The average tender document preparation time, i.e. the mean value for e-tender time and manual system time is 2.7650 and 7.2571 days, respectively. So, tested that e-tender document preparation time is less than the manual method.</p><p>Independent sample t-test results revealed that the sig.-value = 0.00, which is smaller than the p-value, which is significant. This means the Null Hypothesis H<sub>0</sub> has been rejected and the Alternative Hypothesis H<sub>a</sub> has been accepted. In comparison to a manual tender system, the t-test model fit and ensured less cost and time in the e-procurement tender document preparation.</p></sec><sec id="s6"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s7"><title>Cite this paper</title><p>Rashid, Md.A. and Uddin, M.S. (2022) Comparing the Efficiency of Manual and Electronic Tender Document Preparation: Cost and Time Context. Intelligent Information Management, 14, 195-201. https://doi.org/10.4236/iim.2022.146013</p></sec></body><back><ref-list><title>References</title><ref id="scirp.121048-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">World Bank (2002) Bangladesh Country Procurement Assessment Report. Report No. 24144-BD, World Bank, Washington DC.</mixed-citation></ref><ref id="scirp.121048-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Akando, Md.Z.I. (2016) Challenges and Prospects of E-Procurement in Bangladesh: A Study on Roads and Highways Department. 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