The Influence of Effort Expectancy and Digital Facilitating Conditions on Use Behavior of Online Expedition Service
DOI:
https://doi.org/10.37641/jimkes.v14i1.4738Keywords:
Age, Digital Facilitating Conditions, Effort Expectancy, Online Expedition, Social Media, Use BehaviorAbstract
Indonesia’s rapidly expanding digital economy has made online expedition services a crucial component of e-commerce last-mile delivery. However, the determinants of actual usage behavior, particularly the role of demographic factors, remain insufficiently explored. This study examines the direct effects of effort expectancy, social media influence, and digital facilitating conditions on use behavior, as well as the mediating role of age among Indonesian users of online expedition services. Using a quantitative approach, data were collected from 250 purposive respondents who had used major expedition platforms within the past six months and analyzed using partial least squares structural equation modeling. The results indicate that all three antecedents have significant positive effects on use behavior, with effort expectancy emerging as the strongest predictor. Age shows a significant direct effect and mediates the relationships between the three predictors and use behavior. The model explains 68% of the variance and demonstrates strong predictive relevance. These findings underscore the importance of usability, social influence, and digital support, while highlighting age as a key factor shaping adoption. Online expedition providers should therefore focus on user-friendly platforms, active social media strategies, and inclusive digital infrastructure to increase adoption across age groups.
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Al-Mughairi, H., & Bhaskar, P. (2024). Exploring the factors affecting the adoption AI techniques in higher education: Insights from teachers’ perspectives on ChatGPT. Journal of Research in Innovative Teaching & Learning, 18(2), 232–247.
Alsaleh, D. A., Elliott, M. T., Fu, F. Q., & Thakur, R. (2019). Cross-cultural differences in the adoption of social media. Journal of Research in Interactive Marketing, 13(3), 321–340.
Andrea, J., Urrego, M., Pineda, V. G., & Alexandra, L. (2024). The power of social media in the decision-making of current and future professionals: A crucial analysis in the digital era. Cogent Business & Management, 11(1), 242-254.
Ashiq, R., & Hussain, A. (2024). Exploring the effects of e-service quality and e-trust on consumers’ e-satisfaction and e-loyalty: Insights from online shoppers in Pakistan. Journal of Electronic Business & Digital Economics, 3(2), 117–141.
Bayaga, A. (2024). Ramifications of the Unified Theory of Acceptance and Use of Technology (UTAUT) among developing countries’ higher education staffs. Education and Information Technologies, 29(8), 9689–9714.
Bosona, T. (2020). Urban freight last mile logistics—Challenges and opportunities to improve sustainability: A literature review. Sustainability, 12(2), 87-99.
Central Statistics Agency (2023). Ekonomi Indonesia triwulan IV-2023 tumbuh 5,04 persen (y-on-y). Retrieved on August 6, 2025, from https://www.bps.go.id/id/pressrelease/2024/02/05/2379/ekonomi-indonesia-triwulan-iv-2023-tumbuh-5-04-persen--y-on-y-.html
Chedrawi, C., Haddad, G., Tarhini, A., Osta, S., & Kazoun, N. (2025). Exploring the impact of responsible AI usage on users’ behavioral intentions. Journal of Innovation & Knowledge, 10(6), 100-113.
Essien, E. A. (2025). Impact of social media on students’ academic performance. International Journal of Research and Innovation in Social Science, 9(5), 1538-1549.
Faiz, F., Le, V., & Masli, E. K. (2024). Determinants of digital technology adoption in innovative SMEs. Journal of Innovation & Knowledge, 9(4), 100-110.
Fazi, L., Zaniboni, S., & Wang, M. (2025). Age differences in the adoption of technology at work: A review and recommendations for managerial practice. Journal of Organizational Change Management, 38(8), 138–175.
Gbadeyan, B. T., & Bayrakktar, Ü. A. (2023). Influence of social media on the behavioral formation of digital natives: a moderation approach. Journal of Law and Sustainable Development, 11(10), 1334-1339.
Giannakopoulos, G., & Prassou, A. (2025). Mediating and moderating mechanisms in the relationship between social media use and adolescent aggression: a scoping review of quantitative evidence. European Journal of Investigation in Health, Psychology and Education, 15(6), 98-105.
Guo, J., Zhang, W., & Xia, T. (2023). Impact of shopping website design on customer satisfaction and loyalty: The mediating role of usability and the moderating role of trust. Sustainability, 15(8), 63-67.
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial least squares structural equation modeling (PLS-SEM) using R. Cham: Springer.
Htet, A. T. (2025). Website quality, store image and customer satisfaction of E-Commerce in Myanmar. Asean International Journal of Business, 4(1), 22-30.
Kim, A. J., An, K., Yang, J., Rho, E., Shim, J., & Eun, S. (2024). Predicting adoption of the assistive technology open platform: Extended unified theory of acceptance and use of technology. Disability and Rehabilitation: Assistive Technology, 19(7), 2506–2518.
Lafton, T., Wilhelmsen, J. E. B., & Holmarsdottir, H. B. (2024). Parental mediation and children’s digital well-being in family life in Norway. Journal of Children and Media, 18(2), 198–215.
Lakhal, S., & Khechine, H. (2021). Technological factors of students’ persistence in online courses in higher education: The moderating role of gender, age and prior online course experience. Computers & Education, 17(8), 3347–3373.
Li, W. (2025). A study on factors influencing designers’ behavioral intention in using AI-generated content for assisted design: Perceived anxiety, perceived risk, and UTAUT. International Journal of Human–Computer Interaction, 41(2), 1064–1077.
Marikyan, D., Papagiannidis, S., & Stewart, G. (2023). Technology acceptance research: Meta-analysis. Journal of Information Science, 49(4), 1–20.
Mokodompit, M. P., Sutrisno, T., Subekti, I., & Roekhudin, R. (2025). Meta-analysis of factors shaping behavioral intention toward digital accounting technology. Asian Journal of Accounting Research, 10(1), 1–18.
Nagadeepa, C., Dyczek, B., Mishra, A. K., Valerii, B., Oleksandr, O., & Sokoliuk, K. (2024). Last-mile delivery innovations: The future of e-commerce logistics. In R. El Khoury (Ed.), Technology-driven business innovation: Unleashing the digital advantage (Vol. 1, pp. 283–296). Cham: Springer Nature Switzerland.
Nordhoff, S., & Lehtonen, E. (2025). Examining the effect of personality on user acceptance of conditionally automated vehicles. Scientific Reports, 15(1), 83-91.
Pinyanitikorn, N., Atthirawong, W., & Chanpuypetch, W. (2024). Examining the intention to adopt an online platform for freight forwarding services in Thailand: A Modified unified theory for acceptance and use of technology (UTAUT) model approach. Logistics, 8(3), 76-84.
Puriwat, W., & Tripopsakul, S. (2021). Explaining social media adoption for a business purpose: an application of the UTAUT model. Sustainability, 13(4), 20-42.
Rasul, T., Nair, S., Palamidovska-Sterjadovska, N., Ladeira, W. J., Santini, F. de O., & Elgammal, I. (2024). The evolution of customer engagement in the digital era for business: A review and future research agenda. Journal of Global Scholars of Marketing Science, 34(3), 325–348.
Roslan, M. A. A., Nasharuddin, N. A., & Murad, M. A. A. (2024). Understanding technology acceptance and use in social media platforms: a systematic literature review and the development of research framework. Journal of Social Computing, 5(3), 261-291.
Rumangkit, S., Surjandy, S., & Billman, A. (2023). The effect of performance expectancy, facilitating condition, effort expectancy, and perceived easy to use on intention to using media support learning based on unified theory of acceptance and use of technology (UTAUT). In E3S Web of Conferences (Vol. 426, p. 02004). Cham: EDP Sciences.
Sadiq, S., Kaiwei, J., Aman, I., & Mansab, M. (2025). Examine the factors influencing the behavioral intention to use social commerce adoption and the role of AI in SC adoption. European Research on Management and Business Economics, 31(1), 100-118.
Saleem, U., Yi, S., Bilal, M., Topor, D. I., & Căpușneanu, S. (2022). The impact of website quality on customer satisfaction and eWOM in online purchase intention: The moderating role of gender in risk-taking. Frontiers in Psychology, 13(5), 945-957.
Sari, N. P. W. P., Duong, M.-P. T., Li, D., Nguyen, M.-H., & Vuong, Q.-H. (2024). Rethinking the effects of performance expectancy and effort expectancy on new technology adoption: Evidence from Moroccan nursing students. Teaching and Learning in Nursing, 19(3), 557–565.
Staddon, R. V. (2020). Bringing technology to the mature classroom: age differences in use and attitudes. International Journal of Educational Technology in Higher Education, 17(1), 11-16.
Suryawan, R. F., Assagaf, A., & Riyadi, S. (2025). Enhancing company value through customer loyalty in umrah travel agencies. Jurnal Ilmiah Manajemen Kesatuan, 13(4), 2781-2794.
Suyanto, M. A., Dewi, L. K. C., Dharmawan, D., Suhardi, D., & Ekasari, S. (2024). Analysis of the influence of behavior intention, technology effort expectancy and digitalization performance expectancy on behavior to use of qris users in small medium enterprises sector. Jurnal Informasi dan Teknologi, 7(8), 57-63.
Trianesti, G., & Balqiah, T. E. (2025). UTAUT2 model in increasing the intention to use digital payment of QRIS. Jurnal Ilmiah Manajemen Kesatuan, 13(4), 2839-2852.
Wang, Q., Zhao, G., & Zeng, J. (2024). Examining the mediating role of digital competence and the moderating role of technostress in the effects of facilitating conditions on higher education students’ digital informal learning. Australasian Journal of Educational Technology, 40(5), 47-64.
Wang, S., Bolling, K., Mao, W., Reichstadt, J., Jeste, D., Kim, H., & Nebeker, C. (2019). Technology to support aging in place: Older adults’ perspectives. Healthcare, 7(2), 60-66.
Wattoo, M. U., Du, J., Shahzad, F., & Kousar, S. (2025). Shaping e-commerce experiences: Unraveling the impact of service quality on youth customer behavior in a developing nation. SAGE Open, 15(1), 1–23.
Yadav, J., Yadav, A., Misra, M., Rana, N. P., & Zhou, J. (2023). Role of social media in technology adoption for sustainable agriculture practices: Evidence from Twitter analytics. Communications of the Association for Information Systems, 52(1), 833–851.
Yuan, Z., Liu, J., Deng, X., Ding, T., & Wijaya, T. T. (2023). Facilitating conditions as the biggest factor influencing elementary school teachers’ usage behavior of dynamic mathematics software in China. Mathematics, 11(6), 15-36.





