<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">JSSM</journal-id><journal-title-group><journal-title>Journal of Service Science and Management</journal-title></journal-title-group><issn pub-type="epub">1940-9893</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/jssm.2018.113023</article-id><article-id pub-id-type="publisher-id">JSSM-85470</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Business&amp;Economics</subject></subj-group></article-categories><title-group><article-title>
 
 
  The Demand of Voluntourism in a Developing Country
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Pannee</surname><given-names>Suanpang</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>Nawanun</surname><given-names>Srisuksai</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Panicha</surname><given-names>Tansutichon</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Suan Dusit University, Bangkok, Thailand</addr-line></aff><aff id="aff1"><addr-line>Information Technology Department, Faculty of Science &amp;amp; Technology, Suan Dusit University, Bangkok, Thailand</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>dtechpannee@yahoo.com(PS)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>11</day><month>06</month><year>2018</year></pub-date><volume>11</volume><issue>03</issue><fpage>333</fpage><lpage>342</lpage><history><date date-type="received"><day>13,</day>	<month>April</month>	<year>2018</year></date><date date-type="rev-recd"><day>22,</day>	<month>June</month>	<year>2018</year>	</date><date date-type="accepted"><day>25,</day>	<month>June</month>	<year>2018</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>
 
 
  “Voluntourism” or volunteer tourism is a new dimension of tourism that implies that tourists offer their services or affords to change some aspect of society for a better place to live and receive value from their tourism experience. The objective of this paper is to analyse the demand of volunteer tourism in a developing country case study in the Northeast of Thailand. This study is a quantitative study and data were collected from surveying volunteer tourists. The results found that there were four factors that affect the demand for volunteer tourism including motivation, attitude, expectation and need. The statistical significances of the goodness of fit indices are Chi-Square = 5.32, df = 2, p-value 0.06978, RMSEA = 0.069.
 
</p></abstract><kwd-group><kwd>Voluntourism</kwd><kwd> Volunteer Tourism</kwd><kwd> Demand Analysis</kwd><kwd> Factor Analysis</kwd><kwd> Confirmatory Factor Analysis (CFA)</kwd><kwd> Developing Country</kwd><kwd> Thailand</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>“Voluntourism” or volunteer tourism has its roots in “volunteerism” which implies that individuals offer their services or affords to change some aspect of society for a better place to live [<xref ref-type="bibr" rid="scirp.85470-ref1">1</xref>] . The concept of volunteer tourism comprises both volunteerism and tourism which began as a niche form of tourism. Currently it can be discovered in virtually every industry and is becoming popular as mass tourism [<xref ref-type="bibr" rid="scirp.85470-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.85470-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.85470-ref4">4</xref>] . Singh and Singh [<xref ref-type="bibr" rid="scirp.85470-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.85470-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.85470-ref7">7</xref>] define volunteer tourism “… as being more of a conscientious practice of righteous tourism-one that comes closest to utopia. At best, it may be regarded as an altruistic form of tourism, which has the capacity to uphold the highest ideals, intrinsically interwoven in the tourism phenomenon”. Besides, Wearing [<xref ref-type="bibr" rid="scirp.85470-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.85470-ref5">5</xref>] defines volunteer tourists as “…for various reasons volunteer in an organized way to undertake a holiday that might involve aiding or alleviating the material poverty of some groups in society, the restoration of certain environments or research into aspects of society or environment.”</p><p>The volunteer tourism categories (<xref ref-type="fig" rid="fig1">Figure 1</xref>) [<xref ref-type="bibr" rid="scirp.85470-ref1">1</xref>] which as a form of “alternative tourism” offer an alternative direction where the objective is that the tourists help the local community. Volunteer tourism is linked to “social tourism” [<xref ref-type="bibr" rid="scirp.85470-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.85470-ref8">8</xref>] “charity tourism”, “moral tourism” [<xref ref-type="bibr" rid="scirp.85470-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.85470-ref9">9</xref>] and “serious tourism” [<xref ref-type="bibr" rid="scirp.85470-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.85470-ref10">10</xref>] that link the volunteer tourist to working on local projects in the community [<xref ref-type="bibr" rid="scirp.85470-ref1">1</xref>] that can be experienced with cultural tourism as well.</p><p>The number of the research studies on volunteer tourism is growing especially in many recent studies in terms of market, its scope and the motivation of participants [<xref ref-type="bibr" rid="scirp.85470-ref5">5</xref>] . The volunteer tourism sector has occurred since 1990 and it is estimated that 1.6 million people worldwide participate in volunteer tourism projects annually and that volunteer tourists spend between &#163;832 million and &#163;1.3 billion per year [<xref ref-type="bibr" rid="scirp.85470-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.85470-ref12">12</xref>] . Earthwatch who has been involved with volunteer projects between 1971-2008 found that upwards of 90,000 volunteers in 1350 projects across 120 countries, contribute US $67 million and 11 million hours to scientific fieldwork [<xref ref-type="bibr" rid="scirp.85470-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.85470-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.85470-ref13">13</xref>] . Furthermore, volunteer tourism is found on the World Wide Web. A Google search of the word “volunteer tourism” in April 2008 returned 230,000 hits, but in August 2017 found 6,170,000 hits which included published research, volunteer tourism operators and NGOs, and the popular press [<xref ref-type="bibr" rid="scirp.85470-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.85470-ref14">14</xref>] .</p><p>The situation of volunteer tourism in Thailand is growing and becoming more popular especially in “Gap Year” or teenagers who wants to travel and work as volunteers in Thailand, undertaking many activities such as teaching and childcare in schools, building houses, looking after elephants, and health care for local people. According to Kontogeorgopoulous [<xref ref-type="bibr" rid="scirp.85470-ref15">15</xref>] who has been studying “Finding oneself while discovering others: An existential perspective on volunteer tourism in Thailand” found that the volunteer tourism experience is driven by a desire for existential authenticity in both its intrapersonal and interpersonal varieties, and that working with children facilitates existentially authentic outcomes for</p><p>volunteers.</p><p>This paper is part of a research project “The voluntourism development in Sanuk group (Sakon Nakhon, Nakon Phanom, Mukdahan provinces) (2016) [<xref ref-type="bibr" rid="scirp.85470-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.85470-ref17">17</xref>] . This paper focuses on the volunteer tourists” attitude and needs in Thailand (<xref ref-type="fig" rid="fig2">Figure 2</xref>).</p><p>The objective of this paper is to analyse the demand of volunteer tourism in a developing country in case study in the Northeast of Thailand. The research study is the area of Sanuk province (Sakon Nakhon, Nakon Phanom, Mukdahan) (<xref ref-type="fig" rid="fig3">Figure 3</xref>) because this area requires volunteer tourism to develop the local community. The tourism income is very low [<xref ref-type="bibr" rid="scirp.85470-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.85470-ref17">17</xref>] therefore, volunteer</p><p>tourism is needed as an alternative tourism that can benefit the local community in this area.</p><p>The article is organized as follows in five sections including an introduction to the volunteer tourism concept and the objectives of the study, the background of the study including a literature review and research framework with the methodology of the study, results, conclusion and future research.</p></sec><sec id="s2"><title>2. Background of the Study</title><sec id="s2_1"><title>2.1. Factors Affecting the Demand of Volunteer Tourism</title><p>There are several factors that affect the demand of volunteer tourism which are related to volunteer tourism activities that volunteer tourists are able to do during their travels which must be understood. These include community welfare, teaching, business development, environmental regeneration, building projects, cultural development, environment protection and other/miscellaneous journalism [<xref ref-type="bibr" rid="scirp.85470-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.85470-ref16">16</xref>] . The demand of volunteer tourism is involved with motivation, attitude, needs and the expectation of volunteer tourists [<xref ref-type="bibr" rid="scirp.85470-ref5">5</xref>] as summarized in <xref ref-type="table" rid="table1">Table 1</xref>.</p></sec><sec id="s2_2"><title>2.2. Research Framework</title><p>The research framework (<xref ref-type="fig" rid="fig4">Figure 4</xref>) designed for this study included four variables for developing a factor analysis of volunteer tourism including: attitude (atti), motivation (moti), needs, (need) and expectation (expect).</p></sec></sec><sec id="s3"><title>3. Methodology</title><p>This research was conducted using a quantitative method and was undertaken in 2016 in a developing country case study in 3 provinces (Sakon Nakhon, Nakon Phanom, Mukdahan) in the Northeast of Thailand. The population was 1,391,460 tourist which had participated in volunteer tourism activities in the</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Literatures related to the variables of the study</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variable</th><th align="center" valign="middle" >Category</th><th align="center" valign="middle" >Author</th></tr></thead><tr><td align="center" valign="middle" >1. Attitude</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Goodwill</td><td align="center" valign="middle" >Increase self-worth</td><td align="center" valign="middle" >Bruyere and Rappe, 2007 [<xref ref-type="bibr" rid="scirp.85470-ref19">19</xref>] , Lepp, 2008 [<xref ref-type="bibr" rid="scirp.85470-ref20">20</xref>]</td></tr><tr><td align="center" valign="middle" >2. Motivation</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Utilitarian</td><td align="center" valign="middle" >Education</td><td align="center" valign="middle" >Wearing, 2001 [<xref ref-type="bibr" rid="scirp.85470-ref2">2</xref>] , Broad and Jenkins, 2009 [<xref ref-type="bibr" rid="scirp.85470-ref21">21</xref>]</td></tr><tr><td align="center" valign="middle" >Social</td><td align="center" valign="middle" >Meeting minded people</td><td align="center" valign="middle" >Bruyere and Rappe, 2007 [<xref ref-type="bibr" rid="scirp.85470-ref19">19</xref>] , Mustones, 2007 [<xref ref-type="bibr" rid="scirp.85470-ref22">22</xref>]</td></tr><tr><td align="center" valign="middle" >Purposive</td><td align="center" valign="middle" >Altruism</td><td align="center" valign="middle" >Wearing, 2001 [<xref ref-type="bibr" rid="scirp.85470-ref2">2</xref>] , Callanan and Tomas, 2005 [<xref ref-type="bibr" rid="scirp.85470-ref1">1</xref>]</td></tr><tr><td align="center" valign="middle" >3. Needs</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Wanted</td><td align="center" valign="middle" >Adventure/Challenge</td><td align="center" valign="middle" >Tomazos and Butler, 2009 [<xref ref-type="bibr" rid="scirp.85470-ref23">23</xref>]</td></tr><tr><td align="center" valign="middle" >4. Expectation</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Experience</td><td align="center" valign="middle" >Wanderlust</td><td align="center" valign="middle" >Tomazos and Butler, 2009 [<xref ref-type="bibr" rid="scirp.85470-ref23">23</xref>] , Brown and Lehto (2005) [<xref ref-type="bibr" rid="scirp.85470-ref24">24</xref>]</td></tr></tbody></table></table-wrap><p>research areas [<xref ref-type="bibr" rid="scirp.85470-ref25">25</xref>] . The sample size was 400 respondents based on Taro Yamane [<xref ref-type="bibr" rid="scirp.85470-ref26">26</xref>] with a confidence level of 95% (α = 0.05). The simple random technique used in this study. The questionnaires were tried out and the Conbach Alpha coefficient was 0.883.</p><p>The questionnaire comprised of 47 questions, of which six related to the demographic of the sample, attitude toward volunteer tourism 8 questions, motivation 9 questions, the expectation of volunteer tourism 7 questions with those using the Likert 5 scale ranging from 5 = strongly agree, 4 = agree, 3 = moderate, 2 = disagree, 1 = strongly disagree. Data was analyzed using SPSS for descriptive statistic and using Lisrel for factor analysis.</p></sec><sec id="s4"><title>4. Findings</title><sec id="s4_1"><title>4.1. Demographic of the Volunteer Tourists</title><p>The demographic of the volunteer tourists in <xref ref-type="table" rid="table2">Table 2</xref>, found that most of the volunteer tourist were male (68%), aged between 51 - 60 years (24%), an educational level of a bachelor degree (57%), occupation of a government officer (37.50%) and income of between 10,001 - 20,000 baht/month respectively.</p></sec><sec id="s4_2"><title>4.2. The Factory Analysis the Demand of Volunteer Tourist</title><p>The factor analysis of the demand of volunteer tourist in <xref ref-type="table" rid="table3">Table 3</xref> found that the relationship of the variables attitude (atti) is related with motivation (moti) (v = 0.729), need (need) is related with attitude (atti) (v =.028) and motivation (moti) (v = 0.021), and expectation (expect) are related with expectation (expect) (v = 0.645), expectation (expect) (v = 0.638) and need (need) (v = 0.268) respectively.</p><p>The factor analysis model of the demand of volunteer tourism is shown in <xref ref-type="fig" rid="fig5">Figure 5</xref> which identifies that Chi-Square = 5.32, df = 2, p-vale = 0.06978, RMSEA = 0.069. The factor that affected demand the highest was motivation (moti) loading factor (l) (l = 0.64), second, attitude (atti) (l = 0.56), third expectation (expect) (l = 0.49) and finally need (need) (l = 0.32) respectively.</p><p>The results of the confirmatory factory analysis in <xref ref-type="table" rid="table4">Table 4</xref> found that motivation (moti) is the highest confirmatory factory analysis (b = 0.644), second attitude (atti) (b = 0.557), third expectation (expect) (b = 0.492) and finally need</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Demographic of the respondents</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Variable</th><th align="center" valign="middle"  colspan="2"  >Values</th></tr></thead><tr><td align="center" valign="middle" >Frequency</td><td align="center" valign="middle" >Percent</td></tr><tr><td align="center" valign="middle" >Gender</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >128</td><td align="center" valign="middle" >32.00</td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >272</td><td align="center" valign="middle" >68.00</td></tr><tr><td align="center" valign="middle" >Age</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&gt;20 year</td><td align="center" valign="middle" >35</td><td align="center" valign="middle" >8.75</td></tr><tr><td align="center" valign="middle" >20 - 30 year</td><td align="center" valign="middle" >64</td><td align="center" valign="middle" >16.00</td></tr><tr><td align="center" valign="middle" >31 - 40 year</td><td align="center" valign="middle" >69</td><td align="center" valign="middle" >17.25</td></tr><tr><td align="center" valign="middle" >41 - 50 year</td><td align="center" valign="middle" >62</td><td align="center" valign="middle" >15.50</td></tr><tr><td align="center" valign="middle" >51 - 60 year</td><td align="center" valign="middle" >96</td><td align="center" valign="middle" >24.00</td></tr><tr><td align="center" valign="middle" >&lt;60 years</td><td align="center" valign="middle" >74</td><td align="center" valign="middle" >18.50</td></tr><tr><td align="center" valign="middle" >Education level</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Under graduate</td><td align="center" valign="middle" >114</td><td align="center" valign="middle" >28.50</td></tr><tr><td align="center" valign="middle" >Bachelor’s degree</td><td align="center" valign="middle" >228</td><td align="center" valign="middle" >57.00</td></tr><tr><td align="center" valign="middle" >Master’s degree</td><td align="center" valign="middle" >50</td><td align="center" valign="middle" >12.50</td></tr><tr><td align="center" valign="middle" >Ph.D.</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >2.00</td></tr><tr><td align="center" valign="middle" >Occupation</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Government officer</td><td align="center" valign="middle" >150</td><td align="center" valign="middle" >37.50</td></tr><tr><td align="center" valign="middle" >Business owner</td><td align="center" valign="middle" >108</td><td align="center" valign="middle" >27.00</td></tr><tr><td align="center" valign="middle" >Agriculture</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >4.25</td></tr><tr><td align="center" valign="middle" >Private sector employee</td><td align="center" valign="middle" >43</td><td align="center" valign="middle" >10.75</td></tr><tr><td align="center" valign="middle" >Student</td><td align="center" valign="middle" >38</td><td align="center" valign="middle" >9.50</td></tr><tr><td align="center" valign="middle" >Other</td><td align="center" valign="middle" >44</td><td align="center" valign="middle" >11.00</td></tr><tr><td align="center" valign="middle" >Income/month</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&gt;10,000 bath</td><td align="center" valign="middle" >76</td><td align="center" valign="middle" >19.00</td></tr><tr><td align="center" valign="middle" >10,001 - 20,000 bath</td><td align="center" valign="middle" >118</td><td align="center" valign="middle" >29.50</td></tr><tr><td align="center" valign="middle" >20,001 - 30,000 bath</td><td align="center" valign="middle" >44</td><td align="center" valign="middle" >11.00</td></tr><tr><td align="center" valign="middle" >30,001 - 40,000 bath</td><td align="center" valign="middle" >46</td><td align="center" valign="middle" >11.50</td></tr><tr><td align="center" valign="middle" >40,001 - 50,000 bath</td><td align="center" valign="middle" >52</td><td align="center" valign="middle" >13.00</td></tr><tr><td align="center" valign="middle" >&lt;50,000 bath</td><td align="center" valign="middle" >64</td><td align="center" valign="middle" >16.00</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Relationship of the variables</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Variable</th><th align="center" valign="middle"  colspan="4"  >Variable</th></tr></thead><tr><td align="center" valign="middle" >Attitude</td><td align="center" valign="middle" >Motivation</td><td align="center" valign="middle" >Need</td><td align="center" valign="middle" >Expectation</td></tr><tr><td align="center" valign="middle" >Attitude</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Motivation</td><td align="center" valign="middle" >0.729**</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Need</td><td align="center" valign="middle" >0.208**</td><td align="center" valign="middle" >0.201**</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Expectation</td><td align="center" valign="middle" >0.645**</td><td align="center" valign="middle" >0.638**</td><td align="center" valign="middle" >0.268**</td><td align="center" valign="middle" >1</td></tr></tbody></table></table-wrap><p>**p-value &lt; 0.01.</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> The confirmatory factor analysis results</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Variable</th><th align="center" valign="middle"  colspan="4"  >Value</th></tr></thead><tr><td align="center" valign="middle" >b</td><td align="center" valign="middle" >SE</td><td align="center" valign="middle" >t</td><td align="center" valign="middle" >R<sup>2</sup></td></tr><tr><td align="center" valign="middle" >Attitude</td><td align="center" valign="middle" >0.557**</td><td align="center" valign="middle" >0.030</td><td align="center" valign="middle" >18.416</td><td align="center" valign="middle" >0.734</td></tr><tr><td align="center" valign="middle" >Motivation</td><td align="center" valign="middle" >0.644**</td><td align="center" valign="middle" >0.035</td><td align="center" valign="middle" >18.142</td><td align="center" valign="middle" >0.717</td></tr><tr><td align="center" valign="middle" >Need</td><td align="center" valign="middle" >0.319**</td><td align="center" valign="middle" >0.068</td><td align="center" valign="middle" >4.681</td><td align="center" valign="middle" >0.069</td></tr><tr><td align="center" valign="middle" >Expectation</td><td align="center" valign="middle" >0.492**</td><td align="center" valign="middle" >0.031</td><td align="center" valign="middle" >15.704</td><td align="center" valign="middle" >0.573</td></tr><tr><td align="center" valign="middle"  colspan="5"  >χ 2 = 5.32, df = 2, p-value 0.06, GFI = 0.99, AGFI = 0.96, CFI = 0.99, NNFI = 0.99, RMSEA = 0.07, SRMR = 0.02, RMR = 0.02</td></tr></tbody></table></table-wrap><p>**p-value &lt; 0.01.</p><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Statistical significance of the goodness of fit indices</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Statistic</th><th align="center" valign="middle"  colspan="3"  >Value</th></tr></thead><tr><td align="center" valign="middle" >Criteria</td><td align="center" valign="middle" >Value</td><td align="center" valign="middle" >result</td></tr><tr><td align="center" valign="middle" >χ 2</td><td align="center" valign="middle" >&lt;2.00</td><td align="center" valign="middle" >2.16</td><td align="center" valign="middle" >Non-pass</td></tr><tr><td align="center" valign="middle" >p-value</td><td align="center" valign="middle" >&gt;0.05</td><td align="center" valign="middle" >0.06</td><td align="center" valign="middle" >pass</td></tr><tr><td align="center" valign="middle" >GFI</td><td align="center" valign="middle" >&gt;0.95</td><td align="center" valign="middle" >0.99</td><td align="center" valign="middle" >pass</td></tr><tr><td align="center" valign="middle" >AGFI</td><td align="center" valign="middle" >&gt;0.95</td><td align="center" valign="middle" >0.96</td><td align="center" valign="middle" >pass</td></tr><tr><td align="center" valign="middle" >CFI</td><td align="center" valign="middle" >&gt;0.95</td><td align="center" valign="middle" >0.99</td><td align="center" valign="middle" >pass</td></tr><tr><td align="center" valign="middle" >NNFI</td><td align="center" valign="middle" >&gt;0.95</td><td align="center" valign="middle" >0.98</td><td align="center" valign="middle" >pass</td></tr><tr><td align="center" valign="middle" >NFI</td><td align="center" valign="middle" >&gt;0.95</td><td align="center" valign="middle" >0.99</td><td align="center" valign="middle" >pass</td></tr><tr><td align="center" valign="middle" >RMR</td><td align="center" valign="middle" >&lt;0.05</td><td align="center" valign="middle" >0.02</td><td align="center" valign="middle" >pass</td></tr><tr><td align="center" valign="middle" >SRMR</td><td align="center" valign="middle" >&lt;0.05</td><td align="center" valign="middle" >0.02</td><td align="center" valign="middle" >pass</td></tr></tbody></table></table-wrap><p>(need) (b = 0.319). Therefore, the values of the demand of volunteer tourism in the Sanuk group (Sakon Nakhon, Nakon Phanom, Mukdahan provinces) in Thailand were 71%, 73.40% and 57.30% respectively.</p><p>The statistical significance of the fit indices in <xref ref-type="table" rid="table5">Table 5</xref>, found that every variable passed the criteria [<xref ref-type="bibr" rid="scirp.85470-ref27">27</xref>] except χ 2 /df. Therefore, the variable factor attitude (atti), motivation (moti), need (need) and expectation (expect) were goodness of fit test for the demand of volunteer tourism in a developing country case study in Thailand.</p></sec></sec><sec id="s5"><title>5. Conclusions and Future Work</title><p>Volunteer tourism is becoming widespread because it brings a new tourism experience from “reviver” to become “giver” that tourist can spend time during their travels to help a community to become a better place to life. This created a valuable experience in the heart and soul of the tourist. Volunteer tourism is intensifying in Thailand, which is a developing country [<xref ref-type="bibr" rid="scirp.85470-ref28">28</xref>] [<xref ref-type="bibr" rid="scirp.85470-ref29">29</xref>] .</p><p>This paper studies the demand of volunteer tourism in a developing country case study in the Northeast of Thailand. The result found that, the most important factor was the “motivation” (l = 0.644) of tourists, second “attitude toward” (l = 0.557) volunteering, third “expectation” (l = 0.492) and finally “need” (l = 0.319) for helping people. Therefore, the variation of the demand of volunteer tourism was 71%, 73.40% and 57.30% respectively. By the statistical significance of the goodness of fit indices, the results found that every variable passed the criteria</p><p>The suggestion is that volunteer projects in developing countries should build motivating activities for volunteers that give knowledge back [<xref ref-type="bibr" rid="scirp.85470-ref18">18</xref>] , should initiate attitude toward joining volunteer projects and finally should develop more experience for the tourists to help the local community to become a better place to living.</p><p>Future research should study the factors that affect the decision making of the volunteer tourist to join volunteer tourism projects in developing countries in ASEAN such as in Laos and Cambodia.</p></sec><sec id="s6"><title>Acknowledgements</title><p>The author would like to acknowledge The Thailand Research Fund (TRF) which provided the budget to conduct this research (RDG 5750008). Also would like to acknowledge Suan Dusit University which provided the resources for helping Panphu Primary School at Mukdahan provinces.</p></sec><sec id="s7"><title>Cite this paper</title><p>Suanpang, P., Srisuksai, N. and Tansutichon, P. (2018) The Demand of Voluntourism in a Developing Country. Journal of Service Science and Management, 11, 333-342. https://doi.org/10.4236/jssm.2018.113023</p></sec></body><back><ref-list><title>References</title><ref id="scirp.85470-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Callanan, M. and Thomas, S. (2005) Niche Tourism: Contemporary Issue, Trends and Case. Taylor &amp; Francis, UK, 183-200.</mixed-citation></ref><ref id="scirp.85470-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Wearing, S. (2001) Volunteer Tourism: Experiences That Make a Different. 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