The Dual-Dimensional Perception Mechanism of E-commerce Politeness in Cross-Border E-commerce Toys: A Comparative Deconstruction Based on Positive and Negative Critical Incidents

Authors

I-Ching Chen

School of Economics and Management, Zhaoqing University, Zhaoqing, Guangdong (China)

Chen-Xi Zhang

School of Economics and Management, Zhaoqing University, Zhaoqing, Guangdong (China)

Article Information

DOI: 10.51584/IJRIAS.2025.10120033

Subject Category: E-Commerce

Volume/Issue: 10/12 | Page No: 439-453

Publication Timeline

Submitted: 2025-12-20

Accepted: 2025-12-26

Published: 2026-01-06

Abstract

With the booming development of cross-border e-commerce, platform competition has intensified, and service quality centered on "e-commerce politeness" has become a core competitive factor. However, existing research on e-commerce politeness in the cross-border toy category is insufficient. This study aims to explore the critical incidents affecting TEMU users’ satisfaction and dissatisfaction, and clarify the mechanism of e-commerce politeness on user experience. Adopting the Critical Incident Technique (CIT) and purposive sampling, 240 user reviews (Jan 2023 - Jun 2025) were collected and categorized. Results show that scenario adaptability and product usefulness are the top drivers of satisfaction, accounting for 58% and 19% respectively, followed by product quality (15%), while educational implications and logistics services contribute the least. In contrast, consistency with commitment (43%) and product quality (31%) are the primary causes of dissatisfaction, with packaging protection ranking next (16%), and logistics services and cost-effectiveness being the least influential. Notably, product quality is a common key factor affecting both experiences. This research enriches the academic discourse on cross-border e-commerce by revealing the multi-dimensional impact of e-commerce politeness, and provides practical implications for governments, platforms, and merchants to optimize services, enhance user trust, and strengthen competitiveness in the global toy market.

Keywords

Cross-border E-commerce Platform

Downloads

References

1. 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 [Google Scholar] [Crossref]

2. Aveyard H. (1954). The Critical Incident Technique. Psychological Bulletin, 51(4), 327-358. https://doi.org/10.1037/h0061470. [Google Scholar] [Crossref]

3. Baker, M. A., & Kim, K. (2019). Value Destruction in Exaggerated Online Reviews. International Journal of Contemporary Hospitality Management, 31(4), 1956-1976. https://doi.org/10.1108/ijchm-03-2018-0247 [Google Scholar] [Crossref]

4. Bals, L., Schulze, H., Warwick, J., & Stek, K. (2025). Leveraging The Critical Incident Technique for Uncovering and Training the OSCM Competences of the Future. International Journal of Physical Distribution & Logistics Management, 55(8), 821-840. https://doi.org/10.1108/ijpdlm-11-2024-0438 [Google Scholar] [Crossref]

5. Biswas, P. (2021). Wooden Toy of Chennapatna, India: Beauty of Form & Socio-Cultural Reflection on the Characterization of Toy. Shanlax International Journal of Arts, Science and Humanities, 9(2), 21-25. https://doi.org/10.34293/sijash.v9i2.4153 [Google Scholar] [Crossref]

6. Campbell, D. T., & Fiske, D. W. (1959). Convergent And Discriminant Validation by the Multitrait-Multimethod Matrix. Psychological Bulletin, 56(2), 81-105. https://doi.org/10.1037/h0046016 [Google Scholar] [Crossref]

7. Chen, I.-C., & Lu, J. (2025). Exploring User Experience Perceptions of Logistics E-commerce Platforms from the Perspective of E-commerce Politeness. International Journal of Social Science and Economics Invention, 11(04). 90-96. https://doi.org/10.23958/ijssei/vol11-i04/393 [Google Scholar] [Crossref]

8. Corritore, C. L., Kracher, B., & Wiedenbeck, S. (2003). On-Line Trust: Concepts, Evolving Themes, A Model. International Journal of Human-Computer Studies, 58(6), 737-758. https://doi.org/10.1016/s1071-5819(03)00041-7 [Google Scholar] [Crossref]

9. Flanagan, J. C. (1954). The Critical Incident Technique. Psychological Bulletin, 51(4), 327-358. https://doi.org/10.1037/h0061470 [Google Scholar] [Crossref]

10. Ghose A, Ipeirotis P G. (2011). Estimating the Helpfulness and Economic Impact of Product Reviews: Mining Text and Reviewer Characteristics. Transactions on Knowledge and Data Engineering, 23(10), 1498-1512. https://doi.org/10.1109/tkde.2010.188. [Google Scholar] [Crossref]

11. Han, S. (2024). Study on the Development Trend of Cross-Border E-Commerce from the Perspective of Global Value Chains. International Journal of Global Economics and Management, 3(3), 96-102. https://doi.org/10.62051/ijgem.v3n3.12 [Google Scholar] [Crossref]

12. Haynes, S. N., Richard, D. C. S., & Kubany, E. S. (1995). Content Validity in Psychological Assessment: A Functional Approach to Concepts and Methods. Psychological Assessment, 7(3), 238-247. https://doi.org/10.1037/1040-3590.7.3.238 [Google Scholar] [Crossref]

13. Holsti, O. R. (1969), Content Analysis for the Social Sciences and Humanities. American Sociological Review, 35(2), 356-357. https://doi.org/10.2307/2093233 [Google Scholar] [Crossref]

14. Hu, Z. (2022). Research on Influencing Factors of Cross-Border E-commerce Enterprise Competitiveness. Asian Business Research, 7(2), 27. https://doi.org/10.20849/abr.v7i2.1060 [Google Scholar] [Crossref]

15. Ionas, D. N., & Fora, A.-F. (2025). The Role of Big Tech in International Trade: Platforms as Facilitators of Cross-Border E-Commerce. The Annals of the University of Oradea Economic Sciences, 34(1), 447-456. https://doi.org/10.47535/1991auoes34(1)037 [Google Scholar] [Crossref]

16. Jaiswal S, Singh A. (2020) Influence of the Determinants of Online Customer Experience on Online Customer Satisfaction. Paradigm, 24(1), 41-55. https://doi.org/10.1177/0971890720914121 [Google Scholar] [Crossref]

17. Jombe, M., & Pretorius, M. (2025). Exploring The Critical Incident Technique to Inform Distress Causality and Sensemaking. Acta Commercii, 25(1), 1-12. https://doi.org/10.4102/ac.v25i1.1312 [Google Scholar] [Crossref]

18. Leaver, T., Green, L., & Kay, L. (2023). It’s All About the Toys! M/C Journal, 26(2), 1-6. https://doi.org/10.5204/mcj.2974 [Google Scholar] [Crossref]

19. Li, H. & Liu J. (2020). Research on the User Experience-based Context of Business Model: Toward a Value Creation & Delivery Perspective. Foreign Economics & Management, 42(6), 20-37. https://doi.org/10.16538/j.cnki.fem.20200507.102 [Google Scholar] [Crossref]

20. Liu, Y. (2025). The Historical Evolution of E-Commerce Technology and Its Shaping of Modern Business Models—Based on a Comparative Analysis of Three Technological Revolutions. E-Commerce Letters, 14(4), 2442-2449. https://doi.org/10.12677/ecl.2025.1441152 [Google Scholar] [Crossref]

21. Lu, Q. (2024). Analysis of Influencing Factors of Cross-Border E-Commerce Based on PESTEL Model. Frontiers of International Accounting, 13(1), 38-42. https://doi.org/10.12677/FIA.2024.131006 [Google Scholar] [Crossref]

22. Lynn, M. R. (1986). Determination and Quantification of Content Validity. Nursing Research, 35(6), 382-386. https://doi.org/10.1097/00006199-198611000-00017 [Google Scholar] [Crossref]

23. Masyhuri, M. (2022). Key Drivers of Customer Satisfaction on the E-Commerce Business. East Asian Journal of Multidisciplinary Research, 1(4), 657-670. https://doi.org/10.55927/eajmr.v1i4.405 [Google Scholar] [Crossref]

24. Myagkova, I. G. (2024). Improving The User Experience of Financial Technology It Services Based on Ux/Ui Research. Strategic Decisions and Risk Management, 14(4), 400-414. https://doi.org/10.17747/2618-947x-2023-4-400-414 [Google Scholar] [Crossref]

25. Nevo, B. (1985). Face Validity Revisited. Journal of Educational Measurement, 22(4), 287-293. https://doi.org/10.1111/j.1745-3984.1985.tb01065.x [Google Scholar] [Crossref]

26. Pu, Z., Zhang, C., & Xu, Z. (2025). A Review of Consumer Preference Mining Based on Online Reviews. Chinese Journal of Management Science, 33(1), 209-220. https://doi.org/10.16381/j.cnki.issn1003-207x.2024.0483 [Google Scholar] [Crossref]

27. Becker, L., Jaakkola, E. (2020). Customer Experience: Fundamental Premises and Implications for Research of the Acad. Mark. Sci. 48(4), 630-648. https://doi.org/10.1007/s11747-019-00718-x [Google Scholar] [Crossref]

28. Su, R. (2025). Research on the Influencing Factors of Consumers’ Willingness to Continue Using Cross-Border E-Commerce Platforms. Frontiers in Business, Economics and Management, 19(1), 111-115. https://doi.org/10.54097/nm6ppw54 [Google Scholar] [Crossref]

29. Sulastri, L. (2023). The Role of Artificial Intelligence in Enhancing Customer Experience: A Case Study of Global E-commerce Platforms. International Journal of Science and Society, 5(3), 451-469. https://doi.org/10.54783/ijsoc.v5i3.1257 [Google Scholar] [Crossref]

30. Tan, C. S. (2021). Understand China’s Cross-Border E-Commerce Industry: A Market Entry Mode. Systematic Literature Review and Meta-Analysis Journal, 2(2), 74-85. https://doi.org/10.54480/slrm.v2i2.23 [Google Scholar] [Crossref]

31. Veenam, P. (2024). Cross-Border E-Commerce: Opportunities and Challenges in the Global Market. International Journal of Multidisciplinary Research and Growth Evaluation, 5(5), 272-281. https://doi.org/10.54660/.ijmrge.2024.5.5.272-281 [Google Scholar] [Crossref]

32. Wang, X., Yin, N., & Zhang, Z. (2020). Smart Design of Intelligent Companion Toys for Preschool Children. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 35(2), 151-164. https://doi.org/10.1017/s0890060420000499 [Google Scholar] [Crossref]

33. Xiao, Y., Huang, T., Fong, K., Huang, H., & Chau, K. (2023). Cross-Border E-Commerce Model Innovation on Consumer Psychological Anxiety from The Perspective of Consumer Psychology. CNS Spectrums, 28(S2), S51-S51. https://doi.org/10.1017/s1092852923003802 [Google Scholar] [Crossref]

34. Liu X., B. Zhou, R. Du, W. Qi, Z. Li and J. Wang. (2025). On Evolutionary Analysis of Customer Purchasing Behavior by the Supervision of E-Commerce Platforms. Transactions on Computational Social Systems, 12(1), 38-51. https://doi.org/10.1109/TCSS.2024.3485959 [Google Scholar] [Crossref]

35. Zolotarev, M., Bots, T., Nikitina, G., Shilova, S., & Alexeeva, D. (2025). Through the Looking Glass of Critical Incidents: Examining Reflective Practices of Experienced and Novice TESOL Teachers. Teaching English as a Second or Foreign Language--TESL-EJ, 29(2), 1-26. https://doi.org/10.55593/ej.29114s6 [Google Scholar] [Crossref]

Metrics

Views & Downloads

Similar Articles