##plugins.themes.bootstrap3.article.main##

ID Dani Ramadani

Abstract




Fulfillment Center is a special facility designed to manage order processing and product fulfillment for e-commerce businesses. The fulfillment center has a service level agreement (SLA) that must be met as a form of prime performance. Analysis of the determinants of Service Level Performance in Fulfillment Centers is conducted within the framework of Task Technology Fit. This study aims to analyze the effect of Characteristics and Technology Functionality on Service Level Performance in Fulfillment Centers with task technology fit as a mediating variable. This study is a quantitative study of 100 employees in the picking and packing division using a questionnaire. The analysis method used is SEM-PLS. The results of the analysis show that Task Characteristics have a positive and significant effect on Task Technology Fit. Technology Functionality has a positive and significant effect on Task Technology Fit. Task Technology Fit mediates the effect of Task Characteristics on the Fulfillment Center Service Level and is proven to be statistically significant. Task Technology Fit mediates the effect of Task Characteristics on the Fulfillment Center Service Level and is proven to be statistically significant.




Downloads

Download data is not yet available.

##plugins.themes.bootstrap3.article.details##

How to Cite
Ramadani, D. (2025). The Influence of Task Characteristics and Technology Functionality on Task-Technology Fit and Service Level Performance in Fulfillment Centers: Evidence from a Startup Context. Accounting and Management Journal, 9(1), 1–10. https://doi.org/10.33086/amj.v9i1.7059
Section
Articles
Task Technology Fit, Service Level Performance, Fulfillment Center, Task Characteristics, Technology Functionality

References

Abelsen, S. N., Vatne, S.-H., Mikalef, P., & Choudrie, J. (2023). Digital working during the COVID-19 pandemic: how task–technology fit improves work performance and lessens feelings of loneliness. Information Technology & People, 36(5), 2063–2087. https://doi.org/10.1108/ITP-12-2020-0870

Areepattamannil, S., & Santos, I. M. (2019). Adolescent students’ perceived information and communication technology (ICT) competence and autonomy: Examining links to dispositions toward science in 42 countries. Computers in Human Behavior, 98, 50–58. https://doi.org/10.1016/j.chb.2019.04.005

Cheng, Y. M. (2020). Understanding cloud ERP continuance intention and individual performance: a TTF-driven perspective. Benchmarking, 27(4), 1591–1614. https://doi.org/10.1108/BIJ-05-2019-0208

Fu, J., Shang, R.-A., Jeyaraj, A., Sun, Y., & Hu, F. (2019). Interaction between task characteristics and technology affordances. Journal of Enterprise Information Management, 33(1), 1–22. https://doi.org/10.1108/JEIM-04-2019-0105

Goodhue, D. L. (1995). Understanding User Evaluations of Information Systems. Management Science, 41(12), 1827–1844. https://doi.org/10.1287/mnsc.41.12.1827

Goodhue, D. L., & Thompson, R. L. (1995). Task-Technology Fit and Individual Performance. MIS Quarterly, 19(2), 213. https://doi.org/10.2307/249689

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203

Hu, X., Gong, Y., Lai, C., & Leung, F. K. S. (2018). The relationship between ICT and student literacy in mathematics, reading, and science across 44 countries: A multilevel analysis. Computers & Education, 125, 1–13. https://doi.org/10.1016/j.compedu.2018.05.021

Jalali, M. S., Bruckes, M., Westmattelmann, D., & Schewe, G. (2020). Why employees (still) click on phishing links: Investigation in hospitals. Journal of Medical Internet Research, 22(1). https://doi.org/10.2196/16775

Jiang, Y., Xiao, L., Jalees, T., Naqvi, M. H., & Zaman, S. I. (2018). Moral and Ethical Antecedents of Attitude Toward Counterfeit Luxury Products: Evidence from Pakistan. Emerging Markets Finance and Trade, 54(15), 3519–3538. https://doi.org/10.1080/1540496X.2018.1480365

Khan, S., Rasheed, Dr. R., & Muhammad, G. (2022). An SEM-based approach towards the Utilization of Technology and its Relationship to the performance of private business education institutions. Propel Journal of Academic Research, 2(2), 1–22. https://doi.org/10.55464/pjar.v2i2.37

Khan, S., Zaman, S. I., & Rais, M. (2022). Measuring Student Satisfaction through Overall Quality at Business Schools: A Structural Equation Modeling. South Asian Journal of Social Review, 34–55. https://doi.org/10.57044/SAJSR.2022.1.2.2210

Kim, S. K., Park, M. J., Ahn, E. J., & Rho, J. J. (2015). Investigating the role of task-technology fit along with attractiveness of alternative technology to utilize RFID system in the organization. Information Development, 31(5), 405–420. https://doi.org/10.1177/0266666913513277

Lam, B. O., Byun, S., & Lee, M. (2019). Understanding educational inequality in Hong Kong: secondary school segregation in changing institutional contexts. British Journal of Sociology of Education, 40(8), 1170–1187. https://doi.org/10.1080/01425692.2019.1642736

Luna, A. (2015). Characterizing and Improving the Service Level Agreement at Amazon. Massachusetts Institute of Technology.

Marcomm. (2023). Cara Kerja Fulfillment Center dan Perbedaanya dengan Warehouse Biasa? Https://Jetcommerce.Co.Id/Update/Cara-Kerja-Fulfillment-Center-vs- Warehouse/.

Marikyan, D., & Papagiannidis, S. (2022). Task-Technology Fit: A review. In S. Papagiannidis (Ed.), Theory Hub Book. . Newcastle University Business School.

Mikalef, P., Torvatn, H. Y., & Arica, E. (2019). Task-Technology Fit in Manufacturing: Examining Human-Machine Symbiosis Through a Configurational Approach (pp. 624–632). https://doi.org/10.1007/978-3-030-30000-5_76

Murphy, J., Gretzel, U., & Pesonen, J. (2019). Marketing robot services in hospitality and tourism: the role of anthropomorphism. Journal of Travel & Tourism Marketing, 36(7), 784–795. https://doi.org/10.1080/10548408.2019.1571983

Nugrahani, D. M. (2024). Perkembangan Start Up di Indonesia Terus Melaju Dibandingkan Negara Tetangga. Https://Www.Vibizmedia.Com/Index.Php/2024/08/18/Perkembangan-Start-up- Di-Indonesia-Terus-Melaju-Dibandingkan-Negara-Tetangga/.

Pagani, M. (2006). Determinants of adoption of High Speed Data Services in the business market: Evidence for a combined technology acceptance model with task technology fit model. Information & Management, 43(7), 847–860. https://doi.org/10.1016/j.im.2006.08.003

Shih, Y.-Y., & Chen, C.-Y. (2013). The study of behavioral intention for mobile commerce: via integrated model of TAM and TTF. Quality & Quantity, 47(2), 1009–1020. https://doi.org/10.1007/s11135-011-9579-x

Spies, R., Grobbelaar, S., & Botha, A. (2020). A Scoping Review of the Application of the Task-Technology Fit Theory (pp. 397–408). https://doi.org/10.1007/978-3-030- 44999-5_33

Strydom, H. (2014). AN EVALUATION OF THE PURPOSES OF RESEARCH IN SOCIAL WORK. Social Work/Maatskaplike Werk, 49(2). https://doi.org/10.15270/49-2-58

Vendramin, N., Nardelli, G., & Ipsen, C. (2021). Task-Technology Fit Theory : An approach for mitigating technostress. In R. Appel-Meulenbroek & V. Danivska (Eds.), A Handbook of Theories on Designing Alignment Between People and the Office Environment. Routledge.

Wijayanti, P., Mohamed, I. S., & Daud, D. (2024). Computerized accounting information systems: An application of task technology fit model for microfinance. International Journal of Information Management Data Insights, 4(1). https://doi.org/10.1016/j.jjimei.2024.100224

Dani Ramadani, Universitas Logistik dan Bisnis Internasional