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Does The Lecturers’ Innovativeness Drive Online-Learning Adoption in Higher Education? A Study based on Extended TAM Purwandari, diah; Saparudin, Mohamad; Wulan, Mulyaning; Akbari, Deni Adha; Kania, Azzura
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 13, No 2 (2024): JULY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v13i2.2122

Abstract

Adoption and intention to use online learning is a developing area of education research. Despite a large body of research on online learning acceptance, more is needed to know about the factors that impact lecturers' intentions to continue utilizing online learning. The purpose of this study is to give empirical evidence regarding the acceptance of online learning. The proposed model is based on the technology acceptance model (TAM). Several hypotheses were created using the TAM Model, utilizing lecturers' personal innovativeness as an external varaibel. This study used structural equation modeling (SEM-PLS) to investigate technology use among 180 lecturers. The findings suggested that the proposed model accurately predicted the desire to continue using e-learning. Lecturers' innovativeness had a significant impact on perceived usefulness (PU), perceived ease of use (PEOU), and intention to continue using e-learning. Perceived usefulness was the most important factor influencing the intention to continue using e-learning. PEO had a significant influence on PU and PU was able to mediate the relationship between LPI and PEO with CI. However, PEO did not.
Assessing the Engagement Strategies of Indonesia’s Top 5 Universities on Instagram Akbari, Deni Adha; Rochaety , Eti; Wulan, Mulyaning; Purwandari, Diah; Adji, Fanina
Agregat: Jurnal Ekonomi dan Bisnis Vol. 8 No. 2 (2024)
Publisher : Universitas Muhammadiyah Prof. DR HAMKA.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/agregat_vol8.i2/16005

Abstract

This research aims to assess the engagement strategies of Indonesia's top 5 universities on Instagram, analyzing how these strategies enhance interaction with the audience. Utilizing a combination of content analysis and machine learning, the study scrutinizes various elements like posting frequency, content type, and usage of hashtags. The findings reveal that strategic content placement, emotional appeal, and the incorporation of interactive elements significantly bolster engagement. These strategies are particularly effective in fostering a vibrant academic community and enhancing the universities' outreach efforts. This study contributes to the understanding of digital engagement in higher education and offers actionable insights for optimizing social media marketing strategies.