Pay Later Risk Management: A Review of FMECA and Potential Customer Prediction Frameworks Through the Application of Machine Learning
DOI:
https://doi.org/10.25008/ijadis.v4i2.1293Keywords:
FMECA, Critical Analytics, Cause and Effect Diagram, Machine Learning, Pay LaterAbstract
The development of technology continues to develop and gradually change the way people buy such as on online shopping sites. The increase in internet use, especially in the use of E Commerce, has given birth to great potential in the market, especially in Indonesia. These changes prompted the birth of various payment methods. One of them is Pay Later. 27% of the 3560 samples decided to use Pay Later with all the conveniences offered. However, the development of Pay Later is not synchronized with good risk management. The use of Pay Later, which is not targeted at the right consumers, causes PT. XYZ suffered losses due to 22.37% of users defaulting on Pay Later installments. The purpose of this study is to reduce Pay Later default users by answering what factors cause consumers to default. To support this study, the authors used FMECA, Cause Effect Diagrams and conducted tests using Machine Learning to improve company efficiency. Through critical matrix analysis, the author gets 3 priority failure modes, Users default, users disappear, and users experience payment delays. In solving the problems in this study, the authors provide recommendations in the form of a new framework in the form of analyzing the best Pay Later offers by analyzing consumer behavior patterns in an E Commerce by utilizing Machine Learning. However, future research will need to be conducted correlation analysis and static testing in testing attribute correlation before testing algorithms when building machine learning models. The authors also suggested comparing using other methods to improve risk management in this study.
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References
A. Munsch, "Millennial and generation Z digital marketing communication and advertising effectiveness: A qualitative exploration," Journal of Global Scholars of Marketing Science, vol. 31, no. 1, pp. 10-29, Jan. 2021, doi: 10.1080/21639159.2020.1808812. https://doi.org/10.1080/21639159.2020.1808812
N. Taufik, F. H. E. Prabowo, A. D. Santosa, and A. E. Mandasari, "Smes' E-Commerce Adoption Towards Consumer Experience," Jurnal Bisnis dan Manajemen, vol. 21, no. 2, pp. 144-155, 2020, doi: 10.24198/jbm.v21i2.373. https://doi.org/10.24198/jbm.v21i2.373
"Digital-2022-Indonesia-February-2022-v01_compressed".
N. Wang, "Research on the influence of the cross-border e-commerce development of small and medium-sized enterprises in Dongguan in the post-epidemic era," in Proceedings - 2nd International Conference on E-Commerce and Internet Technology, ECIT 2021, Institute of Electrical and Electronics Engineers Inc., Mar. 2021, pp. 176-180. doi: 10.1109/ECIT52743.2021.00047. https://doi.org/10.1109/ECIT52743.2021.00047
X. Qu, "Research on the Development of Cross-Border E-commerce in the Context of Digital Trade," 2020.
https://doi.org/10.2991/aebmr.k.201128.073
S. AFTIKA, H. HANIF, and Y. DEVI, "PENGARUH PENGGUNAAN SISTEM PEMBAYARAN SHOPEEPAYLATER 'BAYAR NANTI' TERHADAP PERILAKU KONSUMTIF MAHASISWA UIN RADEN INTAN LAMPUNG DALAM PERSPEKTIF BISNIS SYARIAH," REVENUE: Jurnal Manajemen Bisnis Islam, vol. 3, no. 1, pp. 87-106, Jan. 2022, doi: 10.24042/revenue.v3i1.11228.
https://doi.org/10.24042/revenue.v3i1.11228
N. Modi and J. Singh, "Understanding Online Consumer Behavior at E-commerce Portals Using Eye-Gaze Tracking," Int J Hum Comput Interact, 2022, doi: 10.1080/10447318.2022.2047318. https://doi.org/10.1080/10447318.2022.2047318
N. Johnsirani Venkatesan, C. S. Nam, and D. R. Shin, "Deep Learning Frameworks on Apache Spark: A Review," IETE Technical Review (Institution of Electronics and Telecommunication Engineers, India), vol. 36, no. 2. Taylor and Francis Ltd., pp. 164-177, Mar. 04, 2019. doi: 10.1080/02564602.2018.1440975. https://doi.org/10.1080/02564602.2018.1440975
L. T. T. Tran, "Managing the effectiveness of e-commerce platforms in a pandemic," Journal of Retailing and Consumer Services, vol. 58, Jan. 2021, doi: 10.1016/j.jretconser.2020.102287. https://doi.org/10.1016/j.jretconser.2020.102287
C. Cheung, C. C. Fang, and Y. C. Wang, "Consumer behavior and mobile payment: An empirical study of the restaurant industry," Journal of China Tourism Research, vol. 18, no. 4, pp. 735-755, 2022, doi: 10.1080/19388160.2021.1972072.
https://doi.org/10.1080/19388160.2021.1972072
J. Iaksch, E. Fernandes, and M. Borsato, "Digitalization and Big data in smart farming-a review," Journal of Management Analytics, vol. 8, no. 2. Taylor and Francis Ltd., pp. 333-349, 2021. doi: 10.1080/23270012.2021.1897957. https://doi.org/10.1080/23270012.2021.1897957
J. Quan, X. Wang, and Y. Quan, "Effects of Consumers' Strategic Behavior and Psychological Satisfaction on the Retailer's Pricing and Inventory Decisions," IEEE Access, vol. 7, pp. 178779-178787, 2019, doi: 10.1109/ACCESS.2019.2958685.
https://doi.org/10.1109/ACCESS.2019.2958685
D. M. Sumarta, W. Suweca, R. Setiawan, S. Tinggi, and T. Bandung, "PENERAPAN METODE FAILURE MODE, EFFECT AND CRITICALITY ANALYSIS (FMECA) PADA DRIVE STATION ALAT ANGKUT KONVEYOR REL," 2017. https://doi.org/10.23969/infomatek.v19i01.544
G. J. Jiang, S. Cai, N. Zhang, H. X. Chen, and H. H. Sun, "Reliability analysis of the starting and landing system of UAV by FMECA and FTA," Journal of Industrial and Production Engineering, vol. 36, no. 8, pp. 503-511, Nov. 2019, doi: 10.1080/21681015.2019.1695682. https://doi.org/10.1080/21681015.2019.1695682
W. Hamro Afiva, F. Tatas, D. Atmaji, and D. J. Alhilman, "Penerapan Metode Reliability Centered Maintenance (RCM) pada Perencanaan Interval Preventive Maintenance dan Estimasi Biaya Pemeliharaan Menggunakan Analisis FMECA ( Studi Kasus?: PT. XYZ )," vol. XIII, no. 3, pp. 298-310, 2019. https://doi.org/10.22441/pasti.2019.v13i3.007
E. Tri Hartanto and U. Ciptomulyono, "APLIKASI FAILURE MODE EFFECT AND CRITICALITY ANALYSIS (FMECA) DALAM PENENTUAN INTERVAL WAKTU PENGGANTIAN KOMPONEN KRITIS RADAR JRC JMA 5310 PADA KRI SATUAN KAPAL PATROLI KOARMATIM Dosen Prodi Teknik Industri FTI-ITS 2) Dosen Prodi S-2 ASRO STTAL 3)."
R. Ravid, E. Bashkansky, and S. Dror, "Integrating AHP in an FMECA framework for ranking Down syndrome tests," IIE Trans Healthc Syst Eng, vol. 1, no. 2, pp. 91-100, 2011, doi: 10.1080/19488300.2011.609521. https://doi.org/10.1080/19488300.2011.609521
G. Di Bona, A. Silvestri, A. Forcina, and A. Petrillo, "Total efficient risk priority number (TERPN): a new method for risk assessment," J Risk Res, vol. 21, no. 11, pp. 1384-1408, Nov. 2018, doi: 10.1080/13669877.2017.1307260. https://doi.org/10.1080/13669877.2017.1307260
M. Swamynathan, Mastering Machine Learning with Python in Six Steps. Apress, 2017. doi: 10.1007/978-1-4842-2866-1.
https://doi.org/10.1007/978-1-4842-2866-1
R. Bai et al., "Analytics and machine learning in vehicle routing research," Int J Prod Res, vol. 61, no. 1, pp. 4-30, 2023, doi: 10.1080/00207543.2021.2013566. https://doi.org/10.1080/00207543.2021.2013566
S. Hosseini, "A decision support system based on machined learned Bayesian network for predicting successful direct sales marketing," Journal of Management Analytics, vol. 8, no. 2, pp. 295-315, 2021, doi: 10.1080/23270012.2021.1897956.
https://doi.org/10.1080/23270012.2021.1897956
K. Chi-Hsien and S. Nagasawa, "Applying machine learning to market analysis: Knowing your luxury consumer," Journal of Management Analytics, vol. 6, no. 4, pp. 404-419, Oct. 2019, doi: 10.1080/23270012.2019.1692254. https://doi.org/10.1080/23270012.2019.1692254
S. K. Sardar, N. Kumar, and S. C. Lee, "A Systematic Literature Review on Machine Learning Algorithms for Human Status Detection," IEEE Access, vol. 10. Institute of Electrical and Electronics Engineers Inc., pp. 74366-74382, 2022. doi: 10.1109/ACCESS.2022.3190967. https://doi.org/10.1109/ACCESS.2022.3190967
M. Swamynathan, Mastering Machine Learning with Python in Six Steps. Apress, 2017. doi: 10.1007/978-1-4842-2866-1.
https://doi.org/10.1007/978-1-4842-2866-1
M. Karami, D. Crick, and J. M. Crick, "Non-predictive decision-making, market-oriented behaviours, and smaller-sized firms' performance," Journal of Strategic Marketing, 2022, doi: 10.1080/0965254X.2022.2052938. https://doi.org/10.1080/0965254X.2022.2052938
M. Swamynathan, Mastering Machine Learning with Python in Six Steps. Apress, 2017. doi: 10.1007/978-1-4842-2866-1.
https://doi.org/10.1007/978-1-4842-2866-1
T. Chen and C. Guestrin, "XGBoost: A scalable tree boosting system," in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Association for Computing Machinery, Aug. 2016, pp. 785-794. doi: 10.1145/2939672.2939785. https://doi.org/10.1145/2939672.2939785
H. H. Zhao, X. C. Luo, R. Ma, and X. Lu, "An Extended Regularized K-Means Clustering Approach for High-Dimensional Customer Segmentation with Correlated Variables," IEEE Access, vol. 9, pp. 48405-48412, 2021, doi: 10.1109/ACCESS.2021.3067499. https://doi.org/10.1109/ACCESS.2021.3067499
K. Pradhan and P. Chawla, "Medical Internet of things using machine learning algorithms for lung cancer detection," Journal of Management Analytics, vol. 7, no. 4. Taylor and Francis Ltd., pp. 591-623, Oct. 01, 2020. doi: 10.1080/23270012.2020.1811789. https://doi.org/10.1080/23270012.2020.1811789
P. A. Morales, S. True, and R. K. Tudor, "Insights, challenges and recommendations for research on sustainability in marketing," Journal of Global Scholars of Marketing Science, vol. 30, no. 4, pp. 394-406, Oct. 2020, doi: 10.1080/21639159.2020.1803757. https://doi.org/10.1080/21639159.2020.1803757
A. Rojas-Dominguez, L. C. Padierna, J. M. Carpio Valadez, H. J. Puga-Soberanes, and H. J. Fraire, "Optimal Hyper-Parameter Tuning of SVM Classifiers with Application to Medical Diagnosis," IEEE Access, vol. 6, pp. 7164-7176, Dec. 2017, doi: 10.1109/ACCESS.2017.2779794. https://doi.org/10.1109/ACCESS.2017.2779794
S. F. Yap and S. S. Gaur, "Consumer Dissonance in the Context of Online Consumer Behavior: A Review and Research Agenda," Journal of Internet Commerce, vol. 13, no. 2, pp. 116-137, 2014, doi: 10.1080/15332861.2014.934647.
https://doi.org/10.1080/15332861.2014.934647
IEEE Control Systems Society, Dongbei da xue, Chinese Association of Automation. Technical Committee on Control and Decision of Cyber Physical Systems, IEEE Singapore Section. Industrial Electronics Chapter, Chongqing da xue, and Institute of Electrical and Electronics Engineers., Proceedings of the 30th Chinese Control and Decision Conference (2018 CCDC)?: 09-11 June 2018, Shenyang, China.
D. H. Kim, S. Lee, J. Jeon, and B. C. Song, "Real-time purchase behavior recognition system based on deep learning-based object detection and tracking for an unmanned product cabinet," Expert Syst Appl, vol. 143, Apr. 2020, doi: 10.1016/j.eswa.2019.113063. https://doi.org/10.1016/j.eswa.2019.113063
R. Ravid, E. Bashkansky, and S. Dror, "Integrating AHP in an FMECA framework for ranking Down syndrome tests," IIE Trans Healthc Syst Eng, vol. 1, no. 2, pp. 91-100, 2011, doi: 10.1080/19488300.2011.609521.
https://doi.org/10.1080/19488300.2011.609521
S. Hasan, E. Sahiri, and E. Tri Hartanto, "ANALYSIS OF DETERMINING CRITICAL COMPONENTS USING FMECA METHOD IN SEAWATER PUMP OF DIESEL GENERATOR CATERPILLAR 3412."
M. Hofmann, R. K. Hofmann, and • Klinkenberg, "RapidMineR RapidMineR Data Mining Use Cases and Business Analytics Applications Edited by." [Online]. Available: www.RapidMiner.com.
S. Demirkan, I. Demirkan, and A. McKee, "Blockchain technology in the future of business cyber security and accounting," Journal of Management Analytics, vol. 7, no. 2. Taylor and Francis Ltd., pp. 189-208, Apr. 02, 2020. doi: 10.1080/23270012.2020.1731721. https://doi.org/10.1080/23270012.2020.1731721
G. Meena, D. Sharma, and M. Mahrishi, "Traffic Prediction for Intelligent Transportation System using Machine Learning," in Proceedings of 3rd International Conference on Emerging Technologies in Computer Engineering: Machine Learning and Internet of Things, ICETCE 2020, Institute of Electrical and Electronics Engineers Inc., Feb. 2020, pp. 145-148. doi: 10.1109/ICETCE48199.2020.9091758. https://doi.org/10.1109/ICETCE48199.2020.9091758
R. Rai, M. K. Tiwari, D. Ivanov, and A. Dolgui, "Machine learning in manufacturing and industry 4.0 applications," International Journal of Production Research, vol. 59, no. 16. Taylor and Francis Ltd., pp. 4773-4778, 2021. doi: 10.1080/00207543.2021.1956675. https://doi.org/10.1080/00207543.2021.1956675
K. Pradhan and P. Chawla, "Medical Internet of things using machine learning algorithms for lung cancer detection," Journal of Management Analytics, vol. 7, no. 4. Taylor and Francis Ltd., pp. 591-623, Oct. 01, 2020. doi: 10.1080/23270012.2020.1811789. https://doi.org/10.1080/23270012.2020.1811789
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