Research on the Risks and Strategies of 'Trust and Safety' in the Context of Platform Economy: Based on the Perspective of Fuzzy Analytic Hierarchy Process
DOI:
https://doi.org/10.62177/apemr.v2i3.347Keywords:
Platform Economy, Trust and Safety, Strategic Research, Fuzzy Analytic Hierarchy Process (FAHP)Abstract
The platform economy is centered around digital platforms, leveraging advanced capabilities in data collection, transmission, computation, processing, and algorithms to create and exchange value. It represents a new form of digital economic circulation. Compared to the traditional linear economic model, the platform economy exhibits a cyclical trend, facilitating transactions, communication, and value creation through digital platforms. Previous studies have shown that, as a space for communication across time and space, it organizes trust among individuals and determines which trust is reliable to achieve interaction and communication goals. Therefore, trustworthy security providers are crucial. Based on this, this paper constructs a risk indicator system for "Trust and Safety (T&S)", considering the contribution value of each indicator's evaluation. The Analytic Hierarchy Process (AHP) is used to calculate the weights of the indicators, and normalization is applied to conduct pairwise comparisons and provide quantitative descriptions of the different indicators. Based on the principle of maximum membership degree, a Fuzzy Analytic Hierarchy Process (FAHP) indicator system is applied. Through fuzzy evaluations by experts, a specific set is chosen from multiple fuzzy sets as the decision result. The analysis reveals that the model addresses the differences in the trust and safety impacts on the platform economy from different evaluation objects, with discourse and algorithmic mechanisms having the greatest influence on the platform economy.
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References
Cai, R. F. (2018). The monopoly and exploitation logic of platform capitalism: On the “platformization” of the game industry and the “laborization” of gamers. Journalism Review, 2018(2), 73–81. https://doi.org/10.15897/j.cnki.cn51-1046/g2.2018.02.009
Rochet, J.-C., & Tirole, J. (2003). Platform competition in two-sided markets. Journal of the European Economic Association, 1(4), 990–1029. https://doi.org/10.1162/154247603322493212 DOI: https://doi.org/10.1162/154247603322493212
Wang, W. H., & Ning, D. X. (2022). Digital labor and data capital power: Two important dimensions of platform capitalism research. Journal of Yunnan University of Finance and Economics, 38(8), 37–46. https://doi.org/10.16537/j.cnki.jynufe.000802
Liang, Y., Aroles, J., & Brandl, B. (2022). Charting platform capitalism: Definitions, concepts, and ideologies. New Technology, Work and Employment, 37(2), 308–327. https://doi.org/10.1111/ntwe.12234 DOI: https://doi.org/10.1111/ntwe.12234
Zhang, L. (2020). When platform capitalism meets petty capitalism in China: Alibaba and an integrated approach to platformization. International Journal of Communication, 14, 21. https://ijoc.org/index.php/ijoc/article/view/10935/2900
Zhang, Y. H., Lu, S., & Liu, B. (2012). Analysis of factors affecting information quality in user information interaction. Information Theory and Practice, (6), 12–15. https://doi.org/10.16353/j.cnki.1000-7490.2012.06.015
Song, G. F., & Liang, C. Y. (2013). A cloud security access control model based on user behavior trust. Chinese Journal of Management Science, (S2), 669–676. https://doi.org/10.16381/j.cnki.issn1003-207x.2013.s2.011
Han, X., Yuan, Y., & Wang, F. Y. (2019). Blockchain security issues: Research status and prospects. Acta Automatica Sinica, (1), 206–225. https://doi.org/10.16383/j.aas.c180710
Wang, C. H., Chen, J. G., Huang, T., & Cheng, Y. (2013). An empirical study on the key influencing factors and dynamic evolution of enterprises' creation of independent brands: Based on qualitative data from field interviews with 12 enterprises in Guangzhou. Management World, (6), 111–127. https://doi.org/10.19744/j.cnki.11-1235/f.2013.06.009
Zhu, Q., Sun, Y., & Zhou, L. Y. (2019). Research on the relationship between platform empowerment, value co-creation, and business performance. Science of Science and Management of S&T, (11), 2026–2033, 2043. https://doi.org/10.16192/j.cnki.1003-2053.2019.11.012
Li, W. Q., Yang, M. Y., Xiu, Q. X., & Lu, Z. (2024). Research on the multiple driving mechanisms of self-regulation in online platforms from a symbiotic perspective. Management Journal, (1), 84–99. https://doi.org/10.19808/j.cnki.41-1408/F.2024.0007
Yuan, Y., & Wang, F. Y. (2016). Development status and prospects of blockchain technology. Acta Automatica Sinica, (4), 481–494. https://doi.org/10.16383/j.aas.2016.c160158
Wang, S., Zhang, T. K., & Li, C. F. (2023). Network security vulnerability management and vulnerability intelligence database construction analysis. Telecommunications Engineering Technology and Standardization, (12), 65–68, 81. https://doi.org/10.13992/j.cnki.tetas.2023.12.010
Ye, Q., & Ge, L. G. (2020). Qualitative study on behaviors to obtain money through network settlement platform vulnerabilities. In Shanghai Legal Studies Yearbook (Vol. 23, Issue 47, pp. 30–31). Shanghai Hongkou District People's Court & Shanghai Jing'an District People's Court. https://doi.org/10.26914/c.cnkihy.2020.050314
Ning, L. L., & Wang, H. M. (2018). Research on problems and countermeasures of public safety emergency management in the context of smart cities. Beijing Surveying and Mapping, (12), 1428–1432. https://doi.org/10.19580/j.cnki.1007-3000.2018.12.013
Sun, Q. H. (2021). Predictive policing in the age of algorithms: Practical forms, multiple risks, and regulatory pathways. Journal of Henan Police Academy, 1–14. https://doi.org/10.16231/j.cnki.jhpc.20250115.002
Yan, D. R. (2020). Constructing resilient community emergency governance systems. Administrative Forum, (3), 89–96. https://doi.org/10.16637/j.cnki.23-1360/d.2020.03.013
Wang, S. Y., Li, B. Y., Bai, Y., Xu, Y., & Li, G. (2021). Research on situation awareness and analysis methods for national security scenarios. Information Theory and Practice, 44(7), 178–183. https://doi.org/10.16353/j.cnki.1000-7490.2021.07.026
Basukie, J., Wang, Y., & Li, S. (2020). Big data governance and algorithmic management in sharing economy platforms: A case of ridesharing in emerging markets. Technological Forecasting and Social Change, 161, 120310. https://doi.org/10.1016/j.techfore.2020.120310 DOI: https://doi.org/10.1016/j.techfore.2020.120310
Tao, Z., Zhang, Z., & Shangkun, L. (2022). Digital economy, entrepreneurship, and high-quality economic development: Empirical evidence from urban China. Frontiers of Economics in China, 17(3), 393. https://doi.org/10.3868/s060-015-022-0015-6
Mikołajewska-Zając, K. (2018). Terms of reference: The moral economy of reputation in a sharing economy platform. European Journal of Social Theory, 21(2), 148–168. https://doi.org/10.1177/1368431017716 DOI: https://doi.org/10.1177/1368431017716287
Kim, K., & Moon, S. I. (2021). When algorithmic transparency failed: Controversies over algorithm-driven content curation in the South Korean digital environment. American Behavioral Scientist, 65(6), 847–862. https://doi.org/10.1177/0002764221989783 DOI: https://doi.org/10.1177/0002764221989783
Pignot, E. (2023). Who is pulling the strings in the platform economy? Accounting for the dark and unexpected sides of algorithmic control. Organization, 30(1), 140–167. DOI: https://doi.org/10.1177/1350508420974523
Khan, M., Alshahrani, A. N., & Jacquemod, J. (2023). Digital platforms and supply chain traceability for robust information and effective inventory management: The mediating role of transparency. Logistics, 7(2), 25. https://doi.org/10.3390/logistics7020025 DOI: https://doi.org/10.3390/logistics7020025
Sicari, S., Rizzardi, A., Grieco, L. A., & Coen-Porisini, A. (2015). Security, privacy and trust in Internet of Things: The road ahead. Computer Networks, 76, 146–164. https://doi.org/10.1016/j.comnet.2014.11.008 DOI: https://doi.org/10.1016/j.comnet.2014.11.008
Cao, H., Gong, X., & He, K. (2022). Multi-scenario design of D enterprise's agent driving products based on QFD. Usability and User Experience, 39(39). https://doi.org/10.54941/ahfe1001740 DOI: https://doi.org/10.54941/ahfe1001740
Mohd Johan, M. R., Teoh, M. X., Abdul Manab, N. F., Md Syed, M. A., & Mohd Adnan, H. (2020). Customer retention in digital media business platforms in Malaysia. In Forum Komunikasi (FK) (Vol. 15, No. 1, pp. 116–137). Faculty of Communication and Media Studies, Universiti Teknologi MARA. https://forumkomunikasi.uitm.edu.my
Feinberg, B., & Zanardi, M. (2022). Analysis of the influence of operational costs on increasing the financial performance of American public health corporation. MEDALION JOURNAL: Medical Research, Nursing, Health and Midwife Participation, 3(2), 44–57. https://doi.org/10.59733/medalion.v3i2.18 DOI: https://doi.org/10.59733/medalion.v3i2.18
Jeong, H., Yi, Y., & Kim, D. (2022). An innovative e-commerce platform incorporating metaverse to live commerce. International Journal of Innovative Computing, Information and Control, 18(1), 221–229. https://doi.org/10.24507/ijicic.18.01.221
Lu, R. (2019). The value and exploitation of data commodities: A critical analysis of Christian Fuchs' user “digital labor” theory. Economic Review, (5), 11–17. https://doi.org/10.16528/j.cnki.22-1054/f.201905011
Guo, J. Y., Zhang, Z. B., & Sun, Q. Y. (2008). Research and application of analytic hierarchy process. Chinese Journal of Safety Science, (5), 148–153. https://doi.org/10.16265/j.cnki.issn1003-3033.2008.05.018
Li, Y. L., Pan, C. X., & Cai, Q. (2023). Risk evaluation of automobile styling design development based on fuzzy analytic hierarchy process. Journal of Tongji University (Natural Science Edition), 51(11), 1771–1774. https://doi.org/10.11908/j.issn.0253-374x.22097
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Copyright (c) 2025 Jiyang Yu, Min-Kyu Lee

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Accepted: 2025-05-19
Published: 2025-05-30