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Abstract

The rapid growth of mobile transportation services has intensified competition between Gojek and Grab, particularly in providing applications that are easy to learn, efficient, memorable, low in errors, and satisfying to use. However, previous usability evaluations have generally focused on descriptive average scores without identifying the specific usability attributes that provide the strongest competitive advantage. This study aimed to evaluate and determine the optimal usability strategies of Gojek and Grab using game theory based on Nielsen’s five usability attributes: learnability, efficiency, memorability, errors, and satisfaction. A quantitative comparative approach was applied using purposive sampling involving 150 respondents who had actively used both applications. Data were collected through a five-point Likert scale questionnaire containing three items for each usability attribute. Instrument validity was examined using Pearson’s product-moment correlation, while reliability was evaluated using Cronbach’s alpha. The average usability scores were transformed into a game theory payoff matrix and analyzed using maximin and minimax principles. The results showed that all questionnaire items were valid and reliable. Gojek achieved higher scores in learnability, memorability, and satisfaction, whereas Grab obtained higher scores in efficiency and error-related usability. The analysis produced equal maximin and minimax values of 0.03, resulting in a saddle point between Gojek’s satisfaction strategy and Grab’s efficiency strategy. The study concluded that satisfaction represents Gojek’s strongest usability strategy, while efficiency represents Grab’s strongest strategy, although their overall competitive positions remain closely balanced. Strategically, Gojek needs to maintain interaction comfort while simplifying transaction flows, whereas Grab must preserve its procedural efficiency while improving user satisfaction and error communication. This study demonstrates that integrating usability dimensions into a game-theoretic framework offers practical priorities for digital platform interface development.

Keywords

Game Theory Gojek Grab Nielsen’s Usability Attributes Usability

How to Cite

Citation Format
Christanto, H. J. (2026). Game Theory Analysis of Usability Strategies in Gojek and Grab Using Nielsen’s Usability Attributes. International Journal Software Engineering and Computer Science (IJSECS), 6(3), 1249-1261. https://doi.org/10.35870/ijsecs.v6i3.8208

References

32 References
  • Almanasreh, E., Moles, R., & Chen, T. F. (2019). Evaluation of methods used for estimating content validity. Research in Social and Administrative Pharmacy, 15(2), 214–221. https://doi.org/10.1016/j.sapharm.2018.03.066
  • Amri, P., Suri, D. M., & Syuhada. (2024). The analysis of ride hailing user characteristics from app reviews. Jurnal Siasat Bisnis, 28(2), 241–262. https://doi.org/10.20885/jsb.vol28.iss2.art7
  • Brooke, J. (1996). SUS: A quick and dirty usability scale. In P. W. Jordan, B. Thomas, B. A. Weerdmeester, & I. L. McClelland (Eds.), Usability evaluation in industry (pp. 189–194). Taylor & Francis. https://doi.org/10.1201/9781498710411-35
  • Cai, Z., Chen, Y., Mo, D., Liu, C., & Chen, X. (2024). Competition and evolution in ride-hailing market: A dynamic duopoly game model. Transportation Research Part C: Emerging Technologies, 164, 104665. https://doi.org/10.1016/j.trc.2024.104665
  • Chatterjee, K., & Lilien, G. L. (1986). Game theory in marketing science uses and limitations. International Journal of Research in Marketing, 3(2), 79–93. https://doi.org/10.1016/0167-8116(86)90012-1
  • Christanto, H. J. (2022). Game theory analysis on marketing strategy determination of KAI Access and Traveloka based on usability of HCI (human-computer interaction). Journal of Information Systems and Informatics, 4(3), 665–672. https://doi.org/10.51519/journalisi.v4i3.303
  • Christanto, H. J., Sutresno, S. A., Simi, V. S., Dewi, C., & Dai, G. (2023). Analysis of game theory in marketing strategies of TikTok and Instagram. Journal of Theoretical and Applied Information Technology, 101(22), 7100–7109.
  • Christanto, H. J., Sutresno, S. A., Singgalen, Y. A., & Dewi, C. (2024). Analyzing benefits of online train ticket reservation app using technology acceptance model. Ingénierie des Systèmes d’Information, 29(1), 107–115. https://doi.org/10.18280/isi.290112
  • Cook, D. A., & Beckman, T. J. (2006). Current concepts in validity and reliability for psychometric instruments: Theory and application. The American Journal of Medicine, 119(2), 166.e7–166.e16. https://doi.org/10.1016/j.amjmed.2005.10.036
  • Correa, V. S., Ferreira, W. S., Cardoso, M., & Magalhães, M. A. (2026). The validity and reliability of case study research: A systematic review and framework. Qualitative Market Research: An International Journal, 29(1), 23–56. https://doi.org/10.1108/QMR-01-2025-0002
  • Damanik, D. R., Yuniar, I., & Rahmadi. (2025). Comparative analysis of e-hailing application usability based on Telkom University student perspectives using the System Usability Scale (SUS) method. International Journal of Multidisciplinary Research and Analysis, 8(5), 2588–2597. https://doi.org/10.47191/ijmra/v8-i05-35
  • Deng, S., Zhou, D., Wu, G., Wang, L., & You, G. (2023). Evolutionary game analysis of three parties in logistics platforms and freight transportation companies’ behavioral strategies for horizontal collaboration considering vehicle capacity utilization. Complex & Intelligent Systems, 9(2), 1617–1637. https://doi.org/10.1007/s40747-022-00873-9
  • Farzandipour, M., Nabovati, E., & Jabali, M. S. (2022). Comparison of usability evaluation methods for a health information system: Heuristic evaluation versus cognitive walkthrough method. BMC Medical Informatics and Decision Making, 22(1), 1905. https://doi.org/10.1186/s12911-022-01905-7
  • Galavi, Z., Montazeri, M., & Khajouei, R. (2024). Which criteria are important in usability evaluation of mHealth applications: An umbrella review. BMC Medical Informatics and Decision Making, 24(1), 2738. https://doi.org/10.1186/s12911-024-02738-2
  • Gao, C., Wang, Y., He, F., & Liu, X. (2025). Modeling and analyzing ride-hailing market equilibrium considering drivers’ multi-homing choice behavior. Transportation Research Part E: Logistics and Transportation Review, 197, 104055. https://doi.org/10.1016/j.tre.2025.104055
  • Hafizh, F., Sulistyani, A. A., Wardani, I. P., & Lestianika, F. I. (2025). Game theory: Case study of Gojek and Grab. Diversity: Jurnal Ilmiah Pascasarjana, 5(1), 18274. https://doi.org/10.32832/diversityjournal.v5i1.18274
  • Harrison, R., Flood, D., & Duce, D. (2013). Usability of mobile applications: Literature review and rationale for a new usability model. Journal of Interaction Science, 1(1), 1–16. https://doi.org/10.1186/2194-0827-1-1
  • Hund, L., & Schroeder, B. (2020). A causal perspective on reliability assessment. Reliability Engineering & System Safety, 195, 106678. https://doi.org/10.1016/j.ress.2019.106678
  • Hyun, H., & Marsden, J. (2023). The importance of user experience in brand experience. In A. Sorrentino (Ed.), Brand awareness: Recent advances and perspectives. IntechOpen. https://doi.org/10.5772/intechopen.113141
  • International Organization for Standardization. (2018). Ergonomics of human-system interaction — Part 11: Usability: Definitions and concepts (ISO Standard No. 9241-11:2018). https://www.iso.org/standard/63500.html
  • Khuntari, D. (2022). Analisis pengalaman pengguna aplikasi Gojek dan Grab dengan pendekatan User Experience Questionnaire. Jurnal Teknik Informatika dan Sistem Informasi (JuTISI), 8(1), 275–286. https://doi.org/10.28932/jutisi.v8i1.4499
  • Malkewitz, C. P., Schwall, P., Meesters, C., & Hardt, J. (2023). Estimating reliability: A comparison of Cronbach's α, McDonald's ωt and the greatest lower bound. Social Sciences & Humanities Open, 7(1), 100368. https://doi.org/10.1016/j.ssaho.2022.100368
  • Nielsen, J. (1993). Usability engineering. Academic Press.
  • Nielsen, J. (2005). Usability for the masses. Journal of Usability Studies, 1(1), 2–3.
  • Nurhasanah, R. P., Salwa, N., & Hasan, A. (2023). The concept of game theory in determining the competition strategy for Gojek and Grab online transportation services. In Proceedings of the 2nd Annual International Conference on Mathematics, Science and Technology Education (AICMSTE 2023) (pp. 19–31). Atlantis Press. https://doi.org/10.2991/978-2-38476-216-3_3
  • Partogi, C., Chakim, M. H., Mulyati, & Bimantoro. (2025). Innovative strategies using Gojek and Grab digital platforms to boost brand sales. APTISI Transactions on Management, 9(2), 164–175. https://doi.org/10.33050/atm.v9i2.2464
  • Peeters, M. J., & Harpe, S. E. (2020). Updating conceptions of validity and reliability. Research in Social and Administrative Pharmacy, 16(8), 1127–1130. https://doi.org/10.1016/j.sapharm.2019.11.017
  • Schrepp, M., Hinderks, A., & Thomaschewski, J. (2017). Design and evaluation of a short version of the User Experience Questionnaire (UEQ-S). International Journal of Interactive Multimedia and Artificial Intelligence, 4(6), 103–108. https://doi.org/10.9781/ijimai.2017.09.001
  • Umar, M., Hussain, I., Mahmood, T., Mirza, H. T., & Faisal, C. M. (2024). Design strategies to minimize mobile usability issues in navigation design patterns. Information, 15(11), 732. https://doi.org/10.3390/info15110732
  • Wang, X., Lin, X., Li, M., Xu, Z., & Zhang, K. (2024). Competition of ride-hailing platforms in the era of autonomous vehicles: Heavy or light asset? Transportation Research Part C: Emerging Technologies, 165, 104732. https://doi.org/10.1016/j.trc.2024.104732
  • Wang, Z., & Li, S. (2024). Competition between autonomous and traditional ride-hailing platforms: Market equilibrium and technology transfer. Transportation Research Part C: Emerging Technologies, 165, 104728. https://doi.org/10.1016/j.trc.2024.104728
  • Weichbroth, P. (2024). Usability testing of mobile applications: A methodological framework. Applied Sciences, 14(5), 1792. https://doi.org/10.3390/app14051792

Author Biography

Henoch Juli Christanto, Christian University of Indonesia

Department of Informatics, Faculty of Engineering, Christian University of Indonesia, Salatiga City, Central Java Province, Indonesia.

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Copyright (c) 2026 Henoch Juli Christanto

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