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Growing Science » Decision Science Letters » The effect of data analytics quality on fintech P2P lending sustainability through operational performance as an intervening variabl

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Decision Science Letters

ISSN 1929-5812 (Online) - ISSN 1929-5804 (Print)
Quarterly Publication
Volume 14 Issue 1 pp. 155-162 , 2025

The effect of data analytics quality on fintech P2P lending sustainability through operational performance as an intervening variabl Pages 155-162 Right click to download the paper Download PDF

Authors: Efrizal Syofyan, Rino Dwi Putra, Muhammad Alam Mauludina, Vitra Yozi Chaniago, Junaidi Junaidi

DOI: 10.5267/j.dsl.2024.10.005

Keywords: Fintech P2P lending, Data analytics quality, Operational performance, Company sustainability

Abstract: This study aims to explore the effect of data analytics quality on company sustainability through operational performance as an intervening variable of Fintech Peer to Peer Lending (P2P) companies registered and licensed at the Financial Services Authority (known as OJK) Indonesia. This study is quantitative research using primary data collected through questionnaires and interviews. The data came from 104 company leaders and involved 91 Fintech P2P Lending companies registered and licensed at OJK until December 2023. Data were processed using statistical tools Structural Equation Modeling (SEM)-Lisrel. The result of processed data indicates that data analytics quality has a positive and significant effect on company sustainability through operational performance as an intervening variable. Data analytics quality with AI-based automation makes repetitive work operations easy, efficient and effective which has implications for increasing the sustainability opportunities of fintech companies.

How to cite this paper
Syofyan, E., Putra, R., Mauludina, M., Chaniago, V & Junaidi, J. (2025). The effect of data analytics quality on fintech P2P lending sustainability through operational performance as an intervening variabl.Decision Science Letters , 14(1), 155-162.

Refrences
Akter, S., Bandara, R., Hani, U., Wamba, S. F., Foropon, C., & Papadopoulos, T. (2019). Analytics-based decision-making for service systems: A qualitative study and agenda for future research. International Journal of Information Management, 48, 85-95. doi: 10.1016/j.ijinfomgt.2019.01.020.
Aras, G., Tezcan, N., & Kutlu Furtuna, O. (2018). The value relevance of banking sector multidimensional corporate sustainability performance. Corporate social responsibility and environmental management, 25(6), 1062-1073. doi: 10.1002/csr.1520.
Babaei, G., & Bamdad, S. (2020). A multi-objective instance-based decision support system for investment recommendation in peer-to-peer lending. Expert Systems with Applications, 150, 113278. doi: 10.1016/j.eswa.2020.113278.
Bag, S., Wood, L. C., Xu, L., Dhamija, P., & Kayikci, Y. (2020). Big data analytics as an operational excellence approach to enhance sustainable supply chain performance. Resources, conservation and recycling, 153, 104559. doi: 10.1016/j.resconrec.2019.104559.
Božič, K., & Dimovski, V. (2019). Business intelligence and analytics use, innovation ambidexterity, and firm performance: A dynamic capabilities perspective. The Journal of Strategic Information Systems, 28(4), 101578. doi: 10.1016/j.jsis.2019.101578.
de Camargo Fiorini, P., Seles, B. M. R. P., Jabbour, C. J. C., Mariano, E. B., & de Sousa Jabbour, A. B. L. (2018). Management theory and big data literature: From a review to a research agenda. International Journal of Information Management, 43, 112-129. doi: 10.1016/j.ijinfomgt.2018.07.005.
Chavez, R., Yu, W., Gimenez, C., Fynes, B., & Wiengarten, F. (2015). Customer integration and operational performance: The mediating role of information quality. Decision Support Systems, 80, 83-95. doi: 10.1016/j.dss.2015.10.001.
Davenport, T. H., Harris, J. G., De Long, D. W., & Jacobson, A. L. (2001). Data to knowledge to results: building an analytic capability. California management review, 43(2), 117-138.
Dev, N. K., Shankar, R., & Qaiser, F. H. (2020). Industry 4.0 and circular economy: Operational excellence for sustainable reverse supply chain performance. Resources, Conservation and Recycling, 153, 104583. doi: 10.1016/j.resconrec.2019.104583.
Di Vaio, A., & Varriale, L. (2020). Blockchain technology in supply chain management for sustainable performance: Evidence from the airport industry. International Journal of Information Management, 52, 102014. doi: 10.1016/j.ijinfomgt.2019.09.010.
Dubey, R., Gunasekaran, A., Childe, S. J., Bryde, D. J., Giannakis, M., Foropon, C., ... & Hazen, B. T. (2020). Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations. International journal of production economics, 226, 107599. doi: 10.1016/j.ijpe.2019.107599.
Dubey, R., Gunasekaran, A., Childe, S. J., Roubaud, D., Wamba, S. F., Giannakis, M., & Foropon, C. (2019). Big data analytics and organizational culture as complements to swift trust and collaborative performance in the humanitarian supply chain. International Journal of Production Economics, 210, 120-136. doi: 10.1016/j.ijpe.2019.01.023.
Fitriati, A., & Mulyani, S. (2015). The influence of leadership style on accounting information system success and its impact on accounting information quality. Research Journal of Finance and Accounting, 6(11), 167-173.
Ghasemaghaei, M. (2019). Does data analytics use improve firm decision making quality? The role of knowledge sharing and data analytics competency. Decision Support Systems, 120, 14-24. doi: 10.1016/j.dss.2019.03.004.
Ghasemaghaei, M., & Calic, G. (2019). Does big data enhance firm innovation competency? The mediating role of data-driven insights. Journal of Business Research, 104, 69-84. doi: 10.1016/j.jbusres.2019.07.006.
Ghasemaghaei, M., Ebrahimi, S., & Hassanein, K. (2018). Data analytics competency for improving firm decision making performance. The Journal of Strategic Information Systems, 27(1), 101-113. doi: 10.1016/j.jsis.2017.10.001.
Liu, Q., Zou, L., Yang, X., & Tang, J. (2019). Survival or die: A survival analysis on peer‐to‐peer lending platforms in China. Accounting & Finance, 59, 2105-2131. doi: 10.1111/acfi.12513.
Mulyani, S., Darma, J., Sukmadilaga, C., Hassan, R., Gafur, I. F. A., & Arifin, M. A. (2016). The effect of clarity of business vision and top management support on the quality of business intelligence systems: Evidence from Indonesia. Asian Journal of Information Technology, 15(16), 2958-2964. doi: 10.3923/ajit.2016.2958.2964.
Naysary, B., & Daud, S. N. (2021). Peer to peer lending industry in china and its implication on economic indicators: testing the mediating impact of smes performance. International Journal of Financial Research, 12(2), 106. doi: 10.5430/ijfr.v12n2p106.
Raut, R. D., Mangla, S. K., Narwane, V. S., Gardas, B. B., Priyadarshinee, P., & Narkhede, B. E. (2019). Linking big data analytics and operational sustainability practices for sustainable business management. Journal of cleaner production, 224, 10-24. doi: 10.1016/j.jclepro.2019.03.181.
Raut, R., Cheikhrouhou, N., & Kharat, M. (2017). Sustainability in the banking industry: A strategic multi‐criterion analysis. Business strategy and the environment, 26(4), 550-568. doi: 10.1002/bse.1946.
Ren, S., Zhang, Y., Liu, Y., Sakao, T., Huisingh, D., & Almeida, C. M. (2019). A comprehensive review of big data analytics throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research directions. Journal of cleaner production, 210, 1343-1365. doi: 10.1016/j.jclepro.2018.11.025.
Sivarajah, U., Irani, Z., Gupta, S., & Mahroof, K. (2020). Role of big data and social media analytics for business to business sustainability: A participatory web context. Industrial Marketing Management, 86, 163-179. doi: 10.1016/j.indmarman.2019.04.005.
Soedarsono, S., Mulyani, S., Tugiman, H., & Suhardi, D. (2019). Information quality and management support as key factors in the applications of continuous auditing and continuous monitoring: An empirical study in the government sector of Indonesia. Contemporary Economics, 13(3), 335–350. doi: 10.5709/ce.1897-9254.318.
Suzan, L., Mulyani, S., Sukmadilaga, C., & Farida, I. (2019). Empirical testing of the implementation of supply chain management and successful supporting factors of management accounting information systems. International journal of supply chain management, 8(4), 629-641.
Wang, H., Chen, K., Zhu, W., & Song, Z. (2015). A process model on P2P lending. Financial Innovation, 1, 1-8. doi: 10.1186/s40854-015-0002-9.
Wiengarten, F., & Longoni, A. (2015). A nuanced view on supply chain integration: a coordinative and collaborative approach to operational and sustainability performance improvement. Supply Chain Management: An International Journal, 20(2), 139-150. doi: 10.1108/SCM-04-2014-0120.
Yadegaridehkordi, E., Nilashi, M., Shuib, L., Nasir, M. H. N. B. M., Asadi, S., Samad, S., & Awang, N. F. (2020). The impact of big data on firm performance in hotel industry. Electronic Commerce Research and Applications, 40, 100921. doi: 10.1016/j.elerap.2019.100921.
Zhao, H., Wu, L., Liu, Q., Ge, Y., & Chen, E. (2014, December). Investment recommendation in p2p lending: A portfolio perspective with risk management. In 2014 IEEE International Conference on Data Mining (pp. 1109-1114). IEEE. doi: 10.1109/ICDM.2014.104.
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Journal: Decision Science Letters | Year: 2025 | Volume: 14 | Issue: 1 | Views: 389 | Reviews: 0

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