Unpacking the Relationship:  Motivation, Green Behavior, and Religiosity among Muslim Academics in Indonesia

This study aims to analyze the relationship between motivation (intrinsic and extrinsic), employee green behavior, religiosity, and employee green attitude among Muslim employees in the higher education sector in Indonesia. This study uses a quantitative approach with a survey design and purposive sampling technique. Respondents consisted of 81 Muslim millennial and Gen Z employees working in higher education institutions. The data collection instrument was a questionnaire with a Likert scale covering five main constructs: intrinsic motivation, extrinsic motivation, green behavior, religiosity, and green attitude. Data analysis was carried out using the Structural Equation Modeling–Partial Least Squares (SEM-PLS) technique through SmartPLS software. The results showed that intrinsic and extrinsic motivation had a significant influence on religiosity, and religiosity acted as a significant mediator in shaping employee green attitudes. Conversely, green behavior did not have a direct effect on religiosity or green attitudes. The R² values ​​of 0.922 for religiosity and 0.940 for green attitudes indicate a very strong predictive ability of the model. These findings confirm that religious values ​​play a central role in linking motivation to sustainability attitudes in the workplace.

Authors

Institutions

Publication Details

Journal
Edukasi Jurnal Pendidikan dan Pengajaran
Published
2025-05-08
DOI
https://doi.org/10.19109/5em2hb34
Primary Topic
Halal products and consumer behavior
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unpacking the Relationship:  Motivation, Green Behavior, and Religiosity among Muslim Academics in Indonesia

Dony Darma Sagita, Kurnia Sari Kasmiarno, Gina Destrianti Karmanto, Nisa Rahma Fadila
Edukasi Jurnal Pendidikan dan Pengajaran
Halal products and consumer behavior
article

Unpacking the Relationship:  Motivation, Green Behavior, and Religiosity among Muslim Academics in Indonesia

Dony Darma Sagita, Kurnia Sari Kasmiarno, Gina Destrianti Karmanto, Nisa Rahma Fadila
article en

Abstract

This study aims to analyze the relationship between motivation (intrinsic and extrinsic), employee green behavior, religiosity, and employee green attitude among Muslim employees in the higher education sector in Indonesia. This study uses a quantitative approach with a survey design and purposive sampling technique. Respondents consisted of 81 Muslim millennial and Gen Z employees working in higher education institutions. The data collection instrument was a questionnaire with a Likert scale covering five main constructs: intrinsic motivation, extrinsic motivation, green behavior, religiosity, and green attitude. Data analysis was carried out using the Structural Equation Modeling–Partial Least Squares (SEM-PLS) technique through SmartPLS software. The results showed that intrinsic and extrinsic motivation had a significant influence on religiosity, and religiosity acted as a significant mediator in shaping employee green attitudes. Conversely, green behavior did not have a direct effect on religiosity or green attitudes. The R² values ​​of 0.922 for religiosity and 0.940 for green attitudes indicate a very strong predictive ability of the model. These findings confirm that religious values ​​play a central role in linking motivation to sustainability attitudes in the workplace.

Edukasi Jurnal Pendidikan dan PengajaranVol. 12(01)
Indonesia Open University (ID)
Openalex Percentile: Top 84%
Halal products and consumer behavior
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.