Enhancing E-Commerce Usability through Process Mining and User Behavior

Document Type : Research Paper

Authors

1 M.Sc., Department of Industrial Engineering, K. N. Toosi University of Technology, Tehran, Iran.

2 Assistant Professor, Department of Industrial Engineering, K. N. Toosi University of Technology, Tehran, Iran.

Abstract

E-commerce plays a vital role in today’s economy, and website usability is crucial for attracting customers and achieving higher conversion rates. Process mining offers significant advantages in analyzing user behavior, providing insights into typical user paths and identifying deviations. This study aims to enhance the usability of e-commerce websites by leveraging user behavioral data and process mining tools. User behavioral data from a cosmetics e-commerce website were collected and preprocessed. Various metrics were established to evaluate usability, revealing low task completion rates and high bounce rates. Bottlenecks were identified where users faced delays, indicating areas for improvement. Recommendations included redirecting users who remove items from their cart to the homepage, suggesting similar products, and addressing payment page issues. These suggestions aim to improve user experience and increase conversion rates. Despite limitations, such as the lack of detailed data, this study demonstrates the potential of process mining tools in enhancing website usability.

Keywords

Main Subjects


[1] V. Jain, B. Malviya, and S. Arya, "An overview of electronic commerce (e-Commerce)," The journal of contemporary issues in business and government, vol. 27, no. 3, pp. 665-670, 2021.
[2] R. Iakupova, "AI TRENDS FOR E-COMMERCE," Věda a perspektivy, no. 6 (37), 2024.
[3] J. R. Saura, "Using data sciences in digital marketing: Framework, methods, and performance metrics," Journal of Innovation & Knowledge, vol. 6, no. 2, pp. 92-102, 2021.
[4] A. Rosário and R. Raimundo, "Consumer marketing strategy and E-commerce in the last decade: a literature review," Journal of theoretical and applied electronic commerce research, vol. 16, no. 7, pp. 3003-3024, 2021.
[5] S. Jain and P. Purandare, "Study of the usability testing of e-commerce applications," in Journal of Physics: Conference Series, 2021, vol. 1964, no. 4: IOP Publishing, p. 042059.
[6] P. Weichbroth, "Usability of mobile applications: a systematic literature study," Ieee Access, vol. 8, pp. 55563-55577, 2020.
[7] V. der Aalst and W. P. Mining, "Discovery, Conformance and Enhancement of Business Processes," Media; Springer: Berlin/Heidelberg, Germany, vol. 136, 2011.
[8] C. dos Santos Garcia et al., "Process mining techniques and applications–A systematic mapping study," Expert Systems with Applications, vol. 133, pp. 260-295, 2019.
[9] A. Augusto et al., "Automated discovery of process models from event logs: Review and benchmark," IEEE transactions on knowledge and data engineering, vol. 31, no. 4, pp. 686-705, 2018.
[10]         A. Shaibani, M. Keimasi, R. Hendijani, and M. Torkestani, "Designing a Comprehensive Internet Banking Website Usability Model," Business Intelligence Management Studies, vol. 9, no. 36, pp. 113-157, 2021.
[11]         J. Nielsen, Usability engineering. Morgan Kaufmann, 1994.
[12]         M. Unsöld, "Measuring learnability in human-computer interaction," Ulm University, 2018.
[13]         J. M. Ferreira et al., "Impact of usability mechanisms: An experiment on efficiency, effectiveness and user satisfaction," Information and Software Technology, vol. 117, p. 106195, 2020.
[14]         K. Sagar and A. Saha, "A systematic review of software usability studies," International Journal of Information Technology, pp. 1-24, 2017.
[15]         S. G. Johnson, T. Potrebny, L. Larun, D. Ciliska, and N. R. Olsen, "Usability methods and attributes reported in usability studies of mobile apps for health care education: scoping review," JMIR Medical Education, vol. 8, no. 2, p. e38259, 2022.
[16]         B. Maqbool and S. Herold, "Potential effectiveness and efficiency issues in usability evaluation within digital health: A systematic literature review," Journal of Systems and Software, p. 111881, 2023.
[17]         B. de Almeida Pacheco, M. Guimarães, A. G. Correa, and V. Farinazzo Martins, "Usability evaluation of learning objects with augmented reality for smartphones: A reinterpretation of nielsen heuristics," in Human-Computer Interaction: 4th Iberoamerican Workshop, HCI-Collab 2018, Popayán, Colombia, April 23–27, 2018, Revised Selected Papers 4, 2019: Springer, pp. 214-228.
[18]         H. L. Keenan, S. L. Duke, H. J. Wharrad, G. A. Doody, and R. S. Patel, "Usability: an introduction to and literature review of usability testing for educational resources in radiation oncology," Technical Innovations & Patient Support in Radiation Oncology, vol. 24, pp. 67-72, 2022.
[19]         W. M. van der Aalst and J. Carmona, Process mining handbook. Springer Nature, 2022.
[20]         W. Van Der Aalst and W. van der Aalst, Data science in action. Springer, 2016.
[21]         A. Burattin, "Process mining techniques in business environments," Lecture Notes in Business Information Processing, vol. 207, p. 220, 2015.
[22]         J. Carmona, B. van Dongen, and M. Weidlich, "Conformance checking: foundations, milestones and challenges," in Process mining handbook: Springer, 2022, pp. 155-190.
[23]         F. A. Yasmin, F. A. Bukhsh, and P. D. A. Silva, "Process enhancement in process mining: a literature review," in CEUR workshop proceedings, 2018, vol. 2270: Rheinisch Westfälische Technische Hochschule, pp. 65-72.
[24]         A. Y. Batyuk and V. V. Voityshyn, "Process mining: applied discipline and software implementations," Наукові вісті КПІ, no. 5, pp. 22-36, 2018.
[25]         W. Albert, T. Tullis, and W. Albert, Measuring the user experience. Elsevier, 2010.