A Comprehensive Analysis of Efficacy, Cost-Effectiveness, and User Perception for Implementing Automated Attendance Systems in Educational Institutions in Sinaloa, Mexico

Miguel Angel Montoya Leyva, Jesus Francisco Atondo Osuna, Claudia Jacive Higuera Quintero and Santa Xiomara Cabrera Montoya
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Miguel Angel Montoya Leyva: Faculty of Economic and Administrative Sciences, Autonomous University of Sinaloa, Juan de Dios Bátiz Boulevard, San Joachin, Guasave, Sinaloa, México, CP. 81101
Jesus Francisco Atondo Osuna: Faculty of Economic and Administrative Sciences, Autonomous University of Sinaloa, Juan de Dios Bátiz Boulevard, San Joachin, Guasave, Sinaloa, México, CP. 81101
Claudia Jacive Higuera Quintero: Faculty of Economic and Administrative Sciences, Autonomous University of Sinaloa, Juan de Dios Bátiz Boulevard, San Joachin, Guasave, Sinaloa, México, CP. 81101
Santa Xiomara Cabrera Montoya: Faculty of Economic and Administrative Sciences, Autonomous University of Sinaloa, Juan de Dios Bátiz Boulevard, San Joachin, Guasave, Sinaloa, México, CP. 81101

Technium, 2026, vol. 31, 123-134

Abstract: Given the continued use of manual procedures for attendance registration and the persistence of compartmentalized views in the assessment of technological solutions, this work proposes a comprehensive and integrated evaluation of three fundamental axes: technical performance, financial sustainability, and user perception. Based on a systematic review of the academic corpus and the analysis of contextual information regarding the state of Sinaloa, Mexico, it is identified that feasibility depends on the harmonization of these elements. The findings reveal that, in environments subject to budgetary and infrastructural constraints, RFID-based platforms emerge as the most robust and enduring option, notable for their high accuracy, low cost threshold, autonomous operation without permanent connectivity, and a higher degree of acceptance within the educational community. Thus, the central contribution lies in a holistic evaluation framework that transcends partial analyses and provides a contextualized decision-making tool for selecting technologies aligned with the specific conditions of each institution

Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:tec:techni:ojs:13497

DOI: 10.47577/technium.v31i.13497

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