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    <journal-meta>
      <journal-id journal-id-type="publisher-id">IJLTEMAS</journal-id>
      <journal-title-group>
        <journal-title>International Journal of Latest Technology in Engineering, Management &amp; Applied Science (IJLTEMAS)</journal-title>
        <abbrev-journal-title abbrev-type="publisher">IJLTEMAS</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="epub">2278-2540</issn>
      <publisher>
        <publisher-name>IJLTEMAS</publisher-name>
      </publisher>
    </journal-meta>

    <article-meta>
      <!-- IDs -->
      <article-id pub-id-type="publisher-id">124</article-id>
            <article-id pub-id-type="doi">10.51583/IJLTEMAS.2026.150700119</article-id>
      
      <!-- Categories -->
            <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Banking and Finance</subject>
        </subj-group>
      </article-categories>
      
      <!-- Title -->
      <title-group>
        <article-title>Cryptocurrency as a Gateway for Cross-Border Mobile Money Services: Evidence from Soft Deal Trading Ltd, Buea, Cameroon</article-title>
      </title-group>

      <!-- Authors -->
      <contrib-group>
                <contrib contrib-type="author">
                    <name>
            <surname>Victalice Ngimanang</surname>
            <given-names>Achamoh</given-names>
          </name>
                              <aff>
            Lecturer of Banking/ Financiacial Economics and Head of Economic Sciences Department, Higher Technical Teachers Training College, University of Bamenda, Cameroon                        <country>Cameroon</country>
                      </aff>
                    
        </contrib>
              </contrib-group>

      <!-- Volume / Issue / Pages -->
            <volume>15</volume>
                  <issue>7</issue>
                        <fpage>1624</fpage>
            <lpage>1631</lpage>
            
      <!-- Dates -->
      <history>
                <date date-type="received">
          <day>30</day>
          <month>07</month>
          <year>2026</year>
        </date>
                        <date date-type="accepted">
          <day>04</day>
          <month>08</month>
          <year>2026</year>
        </date>
              </history>

            <pub-date pub-type="epub">
        <day>20</day>
        <month>08</month>
        <year>2026</year>
      </pub-date>
      
      <!-- DOI Self-URI -->
            <self-uri xlink:href="https://doi.org/10.51583/IJLTEMAS.2026.150700119"/>
      
      <!-- Keywords -->
            <kwd-group kwd-group-type="author">
                <kwd>Cross-border transactions; Bitcoin; Ethereum; Tether; Cameroon</kwd>
              </kwd-group>
      
    </article-meta>
  </front>

  <!-- ============================================================ BODY (Abstract) -->
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        <sec>
      <title>Abstract</title>
      <p>This study examines the implications of three major cryptocurrencies (Bitcoin, Ethereum, and Tether) for cross-border mobile money services, using primary data from 69 staff and active cryptocurrency users at Soft Deal Trading Ltd in Buea, Cameroon. Structured questionnaires were administered and a multiple linear regression model was estimated. The model explains 29.2% of the adjusted variance in mobile money service outcomes (adjusted R² = 0.292; F = 10.344; p &lt; 0.001). Bitcoin exerts a significant positive effect (β = 0.515; p &lt; 0.001), consistent with its deep market penetration and user recognition. Tether likewise has a significant positive effect (β = 0.412; p = 0.001), driven by its price stability, minimal inter-wallet transfer charges, and broad cross-border acceptability. Ethereum, by contrast, carries a significant negative effect (β = −0.436; p = 0.002), attributable to low user familiarity and prohibitively high network gas fees. The findings suggest that Bitcoin and Tether represent viable complements to conventional mobile money for cross-border payments in the Cameroonian context, while Ethereum's adoption barriers must be addressed before it can contribute positively to such services.</p>
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    <ref-list>
      <title>References</title>
            <ref id="ref1">
        <label>1</label>
        <mixed-citation>Baek, C., &amp; Elbeck, M. (2015). Bitcoins as an investment or speculative vehicle? A first look. Applied Economics Letters, 22(1), 30–34.</mixed-citation>
      </ref>
            <ref id="ref2">
        <label>2</label>
        <mixed-citation>CGAP. (2012). Mobile money in Côte d'Ivoire: An overview. Consultative Group to Assist the Poor.</mixed-citation>
      </ref>
            <ref id="ref3">
        <label>3</label>
        <mixed-citation>Cheah, E.-T., &amp; Fry, J. (2015). Speculative bubbles in Bitcoin markets? An empirical investigation into the fundamental value of Bitcoin. Economics Letters, 130, 32–36.</mixed-citation>
      </ref>
            <ref id="ref4">
        <label>4</label>
        <mixed-citation>Chu, J., Nadarajah, S., &amp; Chan, S. (2015). Statistical analysis of the exchange rate of Bitcoin. PLOS ONE, 10(7), e0133678.</mixed-citation>
      </ref>
            <ref id="ref5">
        <label>5</label>
        <mixed-citation>Chu, J., Chan, S., Nadarajah, S., &amp; Osterrieder, J. (2017). GARCH modelling of cryptocurrencies. Journal of Risk and Financial Management, 10(4), 17.</mixed-citation>
      </ref>
            <ref id="ref6">
        <label>6</label>
        <mixed-citation>Communications Commission of Kenya. (2013). Annual report 2012–2013. CCK.</mixed-citation>
      </ref>
            <ref id="ref7">
        <label>7</label>
        <mixed-citation>Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.</mixed-citation>
      </ref>
            <ref id="ref8">
        <label>8</label>
        <mixed-citation>Dyhrberg, A. H. (2016). Bitcoin, gold and the dollar , A GARCH volatility analysis. Finance Research Letters, 16, 85–92.</mixed-citation>
      </ref>
            <ref id="ref9">
        <label>9</label>
        <mixed-citation>Feng, W., Wang, Y., &amp; Zhang, Z. (2018). Can cryptocurrencies be a safe haven? A tail risk perspective analysis. Applied Economics, 50(44), 4745–4762.</mixed-citation>
      </ref>
            <ref id="ref10">
        <label>10</label>
        <mixed-citation>Fishbein, M., &amp; Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Addison-Wesley.</mixed-citation>
      </ref>
            <ref id="ref11">
        <label>11</label>
        <mixed-citation>GSMA. (2014). State of the industry: Mobile financial services for the unbanked. GSMA Intelligence.</mixed-citation>
      </ref>
            <ref id="ref12">
        <label>12</label>
        <mixed-citation>Jani, S. (2018). The growth of cryptocurrency in India: Its challenges and potential impacts on legislation. ResearchGate.</mixed-citation>
      </ref>
            <ref id="ref13">
        <label>13</label>
        <mixed-citation>Kashyap, S., &amp; Chand, K. (2018). Impact of cryptocurrency in India. International Journal of Law, Management &amp; Humanities, 2(1), 1–10.</mixed-citation>
      </ref>
            <ref id="ref14">
        <label>14</label>
        <mixed-citation>Katsiampa, P. (2017). Volatility estimation for Bitcoin: A comparison of GARCH models. Economics Letters, 158, 3–6.</mixed-citation>
      </ref>
            <ref id="ref15">
        <label>15</label>
        <mixed-citation>Katsiampa, P., Corbet, S., &amp; Lucey, B. (2018). Volatility spillover effects in leading cryptocurrencies: A BEKK-MGARCH analysis. Finance Research Letters, 29, 68–74.</mixed-citation>
      </ref>
            <ref id="ref16">
        <label>16</label>
        <mixed-citation>Klein, T., Thu, H. P., &amp; Walther, T. (2018). Bitcoin is not the new gold , A comparison of volatility, correlation, and portfolio performance. International Review of Financial Analysis, 59, 105–116.</mixed-citation>
      </ref>
            <ref id="ref17">
        <label>17</label>
        <mixed-citation>Li, X., &amp; Wang, C. A. (2016). The technology and economic determinants of cryptocurrency exchange rates: The case of Bitcoin. Decision Support Systems, 95, 49–60.</mixed-citation>
      </ref>
            <ref id="ref18">
        <label>18</label>
        <mixed-citation>Mukhopadhyay, U., Skjellum, A., Hambolu, O., Oakley, J., Yu, L., &amp; Brooks, R. (2016). A brief survey of cryptocurrency systems. In Proceedings of the 14th Annual Conference on Privacy, Security and Trust (PST) (pp. 745–752). IEEE.</mixed-citation>
      </ref>
            <ref id="ref19">
        <label>19</label>
        <mixed-citation>Ngimanang, A. V. (2019). Microfinance services and the growth of small and medium size enterprises: Evidence from the Community Credit Company in the Douala Municipality, Cameroon. International Journal of Business Strategies, 5(1), 27–50.</mixed-citation>
      </ref>
            <ref id="ref20">
        <label>20</label>
        <mixed-citation>Osterrieder, J., &amp; Lorenz, J. (2017). A statistical risk assessment of Bitcoin and its extreme tail behaviour. Annals of Financial Economics, 12(1), 1750003.</mixed-citation>
      </ref>
            <ref id="ref21">
        <label>21</label>
        <mixed-citation>Phillip, A., Chan, J., &amp; Peiris, S. (2018). A new look at cryptocurrencies. Economics Letters, 163, 6–9.</mixed-citation>
      </ref>
            <ref id="ref22">
        <label>22</label>
        <mixed-citation>Singh, A. K., &amp; Singh, K. V. (2018). Cryptocurrency in India , Its effect and future on the economy with special reference to Bitcoin. Journal of Advance Management Research, 6(2), 262–274.</mixed-citation>
      </ref>
            <ref id="ref23">
        <label>23</label>
        <mixed-citation>Sogbodjor, A. (2015). The effect of technology on the performance of MTN in West Africa. Journal of African Business and Economics, 3(1), 45–58.</mixed-citation>
      </ref>
            <ref id="ref24">
        <label>24</label>
        <mixed-citation>Vejacka, M. (2014). Basic aspects of cryptocurrencies. Journal of Economy, Business and Financing, 2(2), 75–83.</mixed-citation>
      </ref>
            <ref id="ref25">
        <label>25</label>
        <mixed-citation>Venkatesh, V., &amp; Davis, F. D. (2000). A theoretical extension of the Technology Acceptance Model: Four longitudinal field studies. Management Science, 46(2), 186–204.</mixed-citation>
      </ref>
            <ref id="ref26">
        <label>26</label>
        <mixed-citation>Yamane, T. (1973). Statistics: An introductory analysis (3rd ed.). Harper &amp; Row.</mixed-citation>
      </ref>
            <ref id="ref27">
        <label>27</label>
        <mixed-citation>Zhang, W., Wang, P., Li, X., &amp; Shen, D. (2018). The inefficiency of cryptocurrency and its cross-correlation with Dow Jones Industrial Average. Physica A: Statistical Mechanics and its Applications, 510, 658–670.</mixed-citation>
      </ref>
          </ref-list>
  </back>
  
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