
International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 7 Issue 2
March-April 2025
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Effectiveness of an Innovative ICT Transaction Processing System with Data Analytics
Author(s) | Mr. Sari Kebay Pilot, Dr. Elmer Capadosa Buenavides |
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Country | Philippines |
Abstract | Learning from transaction systems, along with additional application system examples, is an effective method for developing software applications such as the Transaction Processing System. This study aimed to assess the effectiveness of an innovative ICT transaction processing system with data analytics by evaluating the developed system, identifying which rating is most significant when grouped by respondent type, and determining the extent to which the system is preferred over conventional methods in terms of speed and accuracy. The study involved 43 participants from various offices and colleges of MSU-Maguindanao, categorized into three groups: administration and faculty, staff, and students. A survey questionnaire was distributed to gather the necessary data. The overall verbal rating was "Agree" across multiple aspects, with mean scores as follows: system quality (4.34), information quality (4.32), ease of use (4.25), usefulness (4.25), and acceptance (4.32). The findings indicate that system quality and information quality showed a significant difference in perception among the groups regarding effectiveness. Meanwhile, ease of use, usefulness, and acceptance were also rated as significant, but no significant difference in perception was found among the groups. Ultimately, the results support rejecting the null hypothesis, suggesting that there is a significant difference in perception among respondents regarding the system’s effectiveness in terms of speed and accuracy. Thus, the study concludes that the innovative ICT transaction processing system with data analytics is effective. |
Keywords | transaction processing system, data analytics |
Published In | Volume 7, Issue 2, March-April 2025 |
Published On | 2025-04-09 |
DOI | https://doi.org/10.36948/ijfmr.2025.v07i02.41009 |
Short DOI | https://doi.org/g9fb86 |
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E-ISSN 2582-2160

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IJFMR DOI prefix is
10.36948/ijfmr
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