Home⇛Journal of Interdisciplinary Perspectives⇛vol. 3 no. 8 (2025)

Contingent Delivery Workforce: An Analysis of Performance Evaluation Based on Knowledge, Skills, and Behaviors

Regine M. Manzanillo

Discipline: social sciences (non-specific)

 

Abstract:

This study examines the job performance of delivery riders as evaluated by themselves, their colleagues, and supervisors, with an emphasis on competencies such as knowledge, skills, and customer interaction. The study examines the relationship between job performance and their profile, aiming to identify opportunities for enhancement within the delivery workforce. The researcher utilized a descriptive research design, collecting data through a validated self-administered questionnaire. The quantitative data gathered from these sources was meticulously analyzed using statistical tools to evaluate the performance and to suggest possible enhancements. The findings show that predominantly male delivery riders aged 24– 33 display strong teamwork and professionalism, with age and tenure having minimal impact on performance. Higher knowledge and skills correlate with better courtesy, promptness, and peer relations, while weak links between self and external evaluations suggest a need for improved self-awareness and feedback mechanisms. This study revealed that while delivery riders generally demonstrate strong job performance and self-efficacy, discrepancies between self, peer, and supervisory evaluations—particularly in punctuality and timeliness—highlight the need for more precise performance criteria and more aligned evaluation methods.



References:

  1. Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Prentice-Hall.
  2. Becker, G. S. (1964). Human capital: A theoretical and empirical analysis, with special reference to education. University of Chicago Press.
  3. Bulian, L. (2021). The gig is up: Who does the gig economy actually benefit? Interdisciplinary Description of Complex Systems, 19(1), 106–119. https://doi.org/10.7906/indecs.19.1.9
  4. Chan, H., Cheung, T., Choi, T., & Sheu, J. (2023). Sustainable successes in third-party food delivery operations in the digital platform era. Annals of Operations Research. https://doi.org/10.1007/s10479-023-05266-w
  5. Cheung, F., Wu, D., Zheng, Y., & Li, C. (2025). An investigation into the psychological well-being of platform riders in mainland China. BMC Public Health, 25(1). https://doi.org/10.1186/s12889-025-22946-3
  6. Dangol, P. (2021). Role of performance appraisal system and its impact on employees' motivation. Quantitative Economics and Management Studies, 2(1), 13–26. https://doi.org/10.35877/454RI.qems119
  7. Dasanayaka, C. H., Abeykoon, C., Ranaweera, R. A. A. S., & Koswatte, I. (2021). The impact of the performance appraisal process on job satisfaction of the academic staff in higher educational institutions. Education Sciences, 11(10), 623. https://doi.org/10.3390/educsci11100623
  8. D’Cruz, P., & Noronha, E. (2019). Indian freelancers in the platform economy: Prospects and problems. In Globalization, labour market institutions, processes, and policies in India (pp. 257–276). Palgrave Macmillan, Singapore. https://doi.org/10.1007/978-981-13-7111-0_10
  9. Egozi, L., Reiss-Hevlin, N., Dallasheh, R., & Pardo, A. (2021c). Before and during the COVID-19 pandemic, couriers faced safety and health risks. International Archives of Occupational and Environmental Health, 95(3), 589–598. https://doi.org/10.1007/s00420-021-01795-8
  10. Fridan, A. A. A., & Maamari, B. E. (2024). Impact of organizational positive and negative culture on employee performance. International Journal of Organizational Analysis, 32(9), 1850–1869. https://doi.org/10.1108/IJOA-05-2023-3778
  11. Hsieh, J., Adisa, O., Bafna, S., & Zhu, H. (2023). Designing individualized policy and technology interventions to improve gig work conditions. In Proceedings of the 2nd Annual Meeting of the Symposium on Human-Computer Interaction for Work (Article No. 12, pp. 1–9). https://doi.org/10.1145/3596671.3598576
  12. Hsieh, J., Karger, M., Zagal, L., & Zhu, H. (2023). Co-designing alternatives for the future of gig worker well-being. In Proceedings of the 2023 ACM Designing Interactive Systems Conference (pp. 664–687). https://doi.org/10.1145/3563657.3595982
  13. Huang, N., Burtch, G., Hong, Y., & Pavlou, P. A. (2020b). Unemployment and worker participation in the gig economy: Evidence from an online labor market. Information Systems Research, 31(2), 431–448. https://doi.org/10.1287/isre.2019.0896
  14. Jahanshahi, H., Bozanta, A., Cevik, M., Kavuk, E. M., Tosun, A., Sonuc, S. B., Kosucu, B., & Başar, A. (2022). A deep reinforcement learning approach for the meal delivery problem. Knowledge-Based Systems, 243, 108489. https://doi.org/10.1016/j.knosys.2022.108489
  15. Joseph, R. D. (2014). Age diversity and its impact on employee performance in Singapore. International Journal of Research & Development in Technology and Management Science–Kailash, 21(5), 79–98.
  16. Joshi, A., Jain, S., & Gupta, P. K. (2024). Challenges and impact of the gig economy. Sustainable Economies, 2(2), 96. https://doi.org/10.62617/se.v2i2.96
  17. Kampkötter, P. (2017). Performance appraisals and job satisfaction. The International Journal of Human Resource Management, 28(5), 750–774. https://doi.org/10.1080/09585192.2015.1109538
  18. Karim, M. M., Choudhury, M. M., & Latif, W. B. (2019). The impact of training and development on employees’ performance: An analysis of quantitative data. International Journal of Business and Management Research, 3(2), 25–33. https://tinyurl.com/yc7k3wyp
  19. Karanika-Murray, M., Van Veldhoven, M., Michaelides, G., Baguley, T., Gkiontsi, D., & Harrison, N. (2024). Curvilinear relationships between age and job performance and the role of job complexity. Work, Aging and Retirement, 10(2), 156–173. https://doi.org/10.1093/workar/waac006
  20. Kareska, K. (2023). Human resource management strategies for achieving competitive advantage of organizations. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4514970
  21. Katz, D., & Kahn, R. L. (1978). The social psychology of organizations (2nd ed.). Wiley.
  22. Kess-Momoh, N. A. J., Tula, N. S. T., Bello, N. B. G., Omotoye, N. G. B., & Daraojimba, N. A. I. (2024). Strategic human resource management in the 21st century: A review of trends and innovations. World Journal of Advanced Research and Reviews, 21(1), 746–757. https://doi.org/10.30574/wjarr.2024.21.1.0105
  23. Khan, S. I., & Abdullah, N. N. (2019). The impact of staff training and development on teachers’ productivity. Economics, Management and Sustainability, 4(1), 37–45. https://doi.org/10.14254/jems.2019.4-1.4
  24. Kristof-Brown, A. L., Zimmerman, R. D., & Johnson, E. C. (2005). Consequences of individuals' fit at work: A meta-analysis of person–job, person–organization, person–group, and person–supervisor fit. Personnel Psychology, 58(2), 281–342. https://doi.org/10.1111/j.1744-6570.2005.00672.x
  25. Lata, L. N., Burdon, J., & Reddel, T. (2022). New tech, old exploitation: Gig economy, algorithmic control, and migrant labor. Sociology Compass, 17(1), Article e13028. https://doi.org/10.1111/soc4.13028
  26. London, M., & Smither, J. W. (1995). Can multi-source feedback change perceptions of goal accomplishment, self-evaluations, and performance-related outcomes? Personnel Psychology, 48(4), 803–839. https://doi.org/10.1111/j.1744-6570.1995.tb01782.x
  27. Ng, T. W. H., & Feldman, D. C. (2013). Age and work performance: A review and meta-analysis. Journal of Management, 39(5), 1217–1246.
  28. Nguyen-Phuoc, D. Q., Nguyen, L. N. T., Su, D. N., Nguyen, M. H., & Oviedo-Trespalacios, O. (2022). Deadly meals: The influence of personal and job factors on burnout and risky riding behaviours of food delivery motorcyclists. Safety Science, 159, 106007. https://doi.org/10.1016/j.ssci.2022.106007
  29. Nor, A. I. (2022). Performance appraisal: A tool for administrative and development decisions. International Review of Management and Business Research, 11(4), 1–9. https://doi.org/10.30543/11-4(2022)-1
  30. Pahos, N., & Galanaki, E. (2022). Performance effects of high-performance work systems on committed, long-term employees: A multilevel study. Frontiers in Psychology, 13, Article 825397. https://doi.org/10.3389/fpsyg.2022.825397
  31. Ramadanti, S., Apriliani, L. A., & Kharisma, N. (2023). The impact of employment contract status on work satisfaction and productivity at PT. Mersifarma TM. In Advances in Economics, Business and Management Research (pp. 285–297). https://doi.org/10.2991/978-94-6463-226-2_25
  32. Rane, V. (2024). Platform-based gig workers: A blind spot in the Indian labor laws. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4821229
  33. Ryu, G., & Hong, S. W. (2020). The mediating effect of trust in supervisors in the relationship between constructive performance feedback and perceived fairness of performance appraisal. Public Performance & Management Review, 43(4), 871–888. https://doi.org/10.1080/15309576.2019.1676274
  34. Van Doorn, N. (2022). Platform capitalism’s social contract. Internet Policy Review, 11(1). https://doi.org/10.14763/2022.1.1625
  35. Van Doorn, N., & Vijay, D. (2021). Gig work as migrant work: The platformization of migration infrastructure. Environment and Planning A: Economy and Space, 56(4), 1129–1149. https://doi.org/10.1177/0308518x211065049
  36. Vignola, E., Baron, S., Plasencia, E. A., Hussein, M., & Cohen, N. (2023). Workers’ health under algorithmic management: Emerging findings and urgent research questions. International Journal of Environmental Research and Public Health, 20(2), 1239. https://doi.org/10.3390/ijerph20021239
  37. Vroom, V. H. (1964). The focus is on work and motivation. Wiley.
  38. Yoon, D., & Woo, S. S. (2020). Who is delivering my food? CHI ’20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 7, 2917. https://doi.org/10.1145/3340531.3412750
  39. Zhenjing, G., Chupradit, S., Ku, K. Y., Nassani, A. A., & Haffar, M. (2022). Impact of employees' workplace environment on employees' performance: A multi-mediation model. Frontiers in Public Health, 10, 890400. https://doi.org/10.3389/fpubh.2022.890400 

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