DIGITAL TECHNOLOGIES AND INTERNAL CONTROL SYSTEMS IN ACCOUNTS RECEIVABLE MANAGEMENT: EVIDENCE FROM QUITTO-CORP S.A.

Main Article Content

Karla Quishpe-Morales
Mikel Ugando-Peñate
https://orcid.org/0000-0002-3021-0717
Carolina Benítez-Figueroa
https://orcid.org/0009-0004-5142-0010
Yuliana Rojas-Mora
https://orcid.org/0009-0005-8070-4917
Reinaldo Armas-Herrera
https://orcid.org/0000-0002-3477-5838
Angel Higuerey-Gómez
https://orcid.org/0000-0003-0031-8898
Byron Lima-Rojas
https://orcid.org/0009-0000-1054-6697
Andrés Herrera-Manosalvas
https://orcid.org/0000-0001-5141-3137
Luis Quishpe-Morales

Resumo

Accounts receivable management is essential for the financial sustainability of companies operating under credit sales systems, as it directly affects liquidity, cash flow, and operational stability. In the context of digital transformation, technological tools and information systems play a key role in strengthening internal control and improving the efficiency of collection processes. The objective of this study was to evaluate the internal control system and the use of technological tools in accounts receivable management at Quitto-Corp S.A. during the 2024 period, to determine their impact on collection efficiency and managerial decision-making. The research followed a mixed-methods approach with a descriptive scope and a non-experimental cross-sectional design. Data were collected through semi-structured interviews and a questionnaire based on the COSO II framework, applied to administrative and commercial personnel involved in credit and collection activities. The results reveal weaknesses in technological support for monitoring accounts receivable, including the absence of integrated systems, delays in accounting records, and reliance on manual procedures. These limitations affect information traceability and interdepartmental communication, contributing to an increase in overdue accounts. The study concludes that implementing integrated information systems and automated monitoring tools can strengthen internal control, reduce credit risk, and improve collection efficiency.

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Como Citar
Quishpe-Morales, K., Ugando-Peñate , M., Benítez-Figueroa , C., Rojas-Mora , Y., Armas-Herrera , R. ., Higuerey-Gómez , A., Lima-Rojas , B., Herrera-Manosalvas , A., & Quishpe-Morales , L. (2026). DIGITAL TECHNOLOGIES AND INTERNAL CONTROL SYSTEMS IN ACCOUNTS RECEIVABLE MANAGEMENT: EVIDENCE FROM QUITTO-CORP S.A. E3 — Revista De Economia, Empresas E Empreendedores Na CPLP, 12(1), 119–130. https://doi.org/10.29073/e3.v12i1.1211
Secção
Artigos
Biografias Autor

Karla Quishpe-Morales, Pontifical Catholic University of Ecuador - Santo Domingo Campus, Ecuador

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Mikel Ugando-Peñate , Pontifical Catholic University of Ecuador - Santo Domingo Campus, Ecuador

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Carolina Benítez-Figueroa , Pontifical Catholic University of Ecuador - Santo Domingo Campus, Ecuador

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Yuliana Rojas-Mora , Pontifical Catholic University of Ecuador - Santo Domingo Campus, Ecuador

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Reinaldo Armas-Herrera , Private Technical University of Loja, Ecuador

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Angel Higuerey-Gómez , Private Technical University of Loja, Ecuador

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Byron Lima-Rojas , Private Technical University of Loja, Ecuador

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Andrés Herrera-Manosalvas , International University of Ecuador, Ecuador

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Luis Quishpe-Morales , Ministry of Education, Culture and Sport, Ecuador

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Referências

Al-Okaily, A., Al-Okaily, M., & Teoh, A. P. (2023). Evaluating ERP systems success: Evidence from Jordanian firms in the age of the digital business. VINE Journal of Information and Knowledge Management Systems, 53(6), 1025–1040. https://doi.org/10.1108/VJIKMS-04-2021-0061

Appelbaum, D., Kogan, A., Vasarhelyi, M., & Yan, Z. (2017). Impact of business analytics and enterprise systems on managerial accounting. International Journal of Accounting Information Systems, 25, 29–44. https://doi.org/10.1016/j.accinf.2017.03.003

Beatty, A., & Liao, S. (2014). Financial accounting in the banking industry: A review of the empirical literature. Journal of Accounting and Economics, 58(2–3), 339–383. https://doi.org/10.1016/j.jacceco.2014.08.009

Bhimani, A., & Willcocks, L. (2014). Digitisation, ‘Big Data’ and the transformation of accounting information. Accounting and Business Research, 44(4), 469–490. https://doi.org/10.1080/00014788.2014.910051

Buttle, F., & Maklan, S. (2019). Customer relationship management: Concepts and technologies (4th ed.). Routledge.

Chalmers, K., Hay, D., & Khlif, H. (2019). Internal control in accounting research: A review. Journal of Accounting Literature, 42, 80–103. https://doi.org/10.1016/j.acclit.2018.03.002

Clarke, R., de Silva, H., & Thorley, S. (2020). Risk management and the optimal combination of equity market factors. Financial Analysts Journal, 76(3), 57–79. https://doi.org/10.1080/0015198X.2020.1756614

Committee of Sponsoring Organizations of the Treadway Commission. (2017). Enterprise risk management: Integrating with strategy and performance.

Deloof, M. (2003). Does working capital management affect profitability of Belgian firms? Journal of Business Finance & Accounting, 30(3–4), 573–588. https://doi.org/10.1111/1468-5957.00008

Do Prado, J. W., de Melo Carvalho, F., de Benedicto, G. C., & Lima, A. L. R. (2019). Analysis of credit risk faced by public companies in Brazil: An approach based on discriminant analysis, logistic regression and artificial neural networks. Estudios Gerenciales, 35(153), 347–360. https://doi.org/10.18046/j.estger.2019.153.3151

Enqvist, J., Graham, M., & Nikkinen, J. (2014). The impact of working capital management on firm profitability in different business cycles: Evidence from Finland. Research in International Business and Finance, 32, 36–49. https://doi.org/10.1016/j.ribaf.2014.03.005

Gomber, P., Kauffman, R. J., Parker, C., & Weber, B. W. (2018). On the fintech revolution: Interpreting the forces of innovation, disruption, and transformation in financial services. Journal of Management Information Systems, 35(1), 220–265. https://doi.org/10.1080/07421222.2018.1440766

Goretzki, L., & Pfister, J. A. (2023). The productive accountant as (un-)wanted self: Realizing the ambivalent role of productivity measures in accountants’ identity work. Critical Perspectives on Accounting, 95, 102504. https://doi.org/10.1016/j.cpa.2022.102504

Hall, J. A. (2022). Accounting information systems (11th ed.). Cengage Learning.

Huamán, A. (2021). Incidence of internal control in the management of accounts receivable in the company Jaen Gas SAC-2021. Sapienza: International Journal of Interdisciplinary Studies, 3(1), 818–829. https://doi.org/10.51798/sijis.v3i1.264

IFRS Foundation. (2021a). International Financial Reporting Standard 15: Revenue from contracts with customers.

IFRS Foundation. (2021b). International Financial Reporting Standard 9: Financial instruments.

Laudon, K. C., & Laudon, J. P. (2022). Management information systems: Managing the digital firm. Pearson.

Lessmann, S., Baesens, B., Seow, H. V., & Thomas, L. C. (2015). Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research. European Journal of Operational Research, 247(1), 124–136. https://doi.org/10.1016/j.ejor.2015.05.030

Molina, J. (2016). Mixed methods research: An opportunity to improve our studies and our research skills. European Journal of Management and Business Economics, 25(2), 37–38. https://doi.org/10.1016/j.redeen.2016.05.001

Morales, J., Puche, L., & Zuñiga, A. (2023). Policies to reduce credit risk in savings and credit cooperatives in the tourist and cultural district of Riohacha. Salud, Ciencia y Tecnología-Serie de Conferencias, 2, 346. https://doi.org/10.56294/SCTCONF2023585

O'Brien, J. A., & Marakas, G. M. (2019). Management information systems. McGraw-Hill Education.

Orlova, E. V. (2020). Decision-making techniques for credit resource management using machine learning and optimization. Information, 11(3), 144. https://doi.org/10.3390/info11030144

Patuan, I., & Hermawan, A. A. (2023). The effect of internal control on receivables management. International Journal of Contemporary Accounting, 5(1), 61–80. https://doi.org/10.25105/ijca.v5i1.17026

Pesantes, S., Barinotto, P., Jurado, A., & Castañeda, J. (2023). Impact of credit and collection management on the liquidity of the company AFA GROUP, Trujillo 2022. LACCEI Proceedings, 1(8). https://doi.org/10.18687/LACCEI2023.1.1.396

Quattrone, P. (2022). Seeking transparency makes one blind: How to rethink disclosure, account for nature and make corporations sustainable. Accounting, Auditing & Accountability Journal, 35(2), 547–566. https://doi.org/10.1108/AAAJ-04-2021-5233

Richins, G., Stapleton, A., Stratopoulos, T. C., & Wong, C. (2017). Big data analytics: Opportunity or threat for the accounting profession? Journal of Information Systems, 31(3), 63–79. https://doi.org/10.2308/isys-51805

Romney, M. B., & Steinbart, P. J. (2021). Accounting information systems. Pearson.

Sharda, R., Delen, D., & Turban, E. (2020). Business intelligence and analytics. Pearson.

Singh, R. P., Singh, R., & Mishra, P. (2021). Does managing customer accounts receivable impact customer relationships, and sales performance? An empirical investigation. Journal of Retailing and Consumer Services, 60, 102460. https://doi.org/10.1016/j.jretconser.2021.102460

Surikova, E., Kosorukova, E., Krainova, I., & Rasskazova, M. (2022). Management of accounts receivable for railway transport enterprises. Transportation Research Procedia, 63, 1790–1797. https://doi.org/10.1016/j.trpro.2022.06.195

Ugando, M., Sabando, A. R., Armas, R., Higuerey, A. A., Inga, E. R., D’Elia, P., Villalón, A., Gualapuro, K. B., & Tinoco, C. M. (2024). Applications of supervised algorithms for sales prediction in small business: Santo Domingo, Ecuador. In M. V. García, C. Gordón-Gallegos, A. Salazar-Ramírez, & C. Nuñez (Eds.), Proceedings of the International Conference on Computer Science, Electronics and Industrial Engineering (CSEI 2023) (Lecture Notes in Networks and Systems, Vol. 775). Springer. https://doi.org/10.1007/978-3-031-69228-4_22

Vial, G. (2021). Understanding digital transformation: A review and a research agenda. In A. Hinterhuber, T. Vescovi, & F. Checchinato (Eds.), Managing digital transformation (pp. 13–66). Routledge. https://doi.org/10.4324/9781003008637-4

Zhou, Y., Shamsu Uddin, M., Habib, T., Chi, G., & Yuan, K. (2021). Feature selection in credit risk modeling: An international evidence. Economic Research-Ekonomska Istraživanja, 34(1), 3064–3091. https://doi.org/10.1080/1331677X.2020.1867213