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Workshop Pengolahan Data dengan Software SmartPLS Untuk Data Primer dan Sekunder dalam Riset Sari Rahmadhani; Abdullah Abdullah; Andi Kartika
Panggung Kebaikan : Jurnal Pengabdian Sosial Vol. 1 No. 2 (2024): Mei : Panggung Kebaikan : Jurnal Pengabdian Sosial
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/panggungkebaikan.v1i2.331

Abstract

Understanding data processing for young researchers such as students is crucial to completing the final assignment. An important phase in determining research results after data collection in the field is completed is the data processing stage. This stage is often an obstacle for novice researchers due to the limited development of materials from lectures that have been attended previously. Therefore, this community service becomes a medium for solving problems, namely by holding data processing training carried out in the form of a workshop. This data processing workshop is used for data collected through secondary data and primary data which is carried out in providing materials and practices. This workshop uses the SmartPLS software tool, starting with an introduction to the software, terms of use, and data processing practices. This activity is carried out within the STIE Totalwin environment, namely by forming a community service team as a resource person and the activity implementation committee. The training that was carried out can be followed well. The implementation of the data processing workshop can be carried out and run smoothly. The benefits of this activity are felt by all parties involved in this workshop.
The Role of Customer Experience in Shaping Purchase Decisions: The Mediating Effect of Customer Engagement on Digital E-Commerce Platforms Firdaus Firdaus; M. Rully Sjahirul Alim; Kukuh Mulyanto; Abdullah Abdullah; Asepta Hendriyanto; Nuruddin Mahmud; Fiderius Ismanto; Heru Yulianto; Alis Arifah Rahman
International Journal of Management Science and Information Technology Vol. 6 No. 1 (2026): January - June 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i1.6627

Abstract

This study examines the effect of customer experience on purchase decisions, with customer engagement as a mediating variable in digital e-commerce platforms. Increasing competition in the e-commerce sector has shifted managerial focus toward experiential and relational factors influencing consumer decision-making. A quantitative approach was employed using survey data collected from e-commerce users through purposive sampling. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS. The results show that customer experience has a significant positive effect on both customer engagement and purchase decisions. Customer engagement also significantly mediates the relationship, indicating that improved experiences enhance purchasing outcomes indirectly through stronger engagement. However, the moderating effect between the variables is not statistically significant. The model demonstrates satisfactory explanatory power, indicating its robustness in explaining consumer behavior in digital platforms. These findings emphasize the importance of designing effective experience-based strategies to strengthen engagement and drive purchasing outcomes. This study provides practical insights for e-commerce managers and contributes to the literature on digital marketing and consumer behavior.