UNDERSTANDING GREEN CONSUMERS: A BIBLIOMETRIC ANALYSIS OF ENVIRONMENTAL ATTITUDE AND GREEN PURCHASE BEHAVIOR

This study conducts a bibliometric analysis of research on green purchase behavior from 2017 to 2023, utilizing data from the Scopus database. A total of 355 articles were selected and analyzed to identify trends in consumer behavior towards environmentally friendly purchases. The findings reveal a significant increase in publications, with a peak anticipated in 2023, indicating a growing interest in the intersection of consumer behavior and environmental sustainability. Key contributors to the field include prolific authors and journals, with China emerging as the leading country in terms of published research. The analysis highlights the critical role of positive environmental attitudes in fostering pro-environmental behaviors, such as the purchase of green products. Additionally, the study identifies factors influencing this relationship, including perceived consumer effectiveness and the need for effective educational strategies. The results underscore the importance of understanding consumer motivations and behaviors to inform marketing strategies and enhance sustainability initiatives. This research contributes to the literature by providing a comprehensive overview of the current state of green purchase behavior research and suggesting avenues for future inquiry.

Authors

Publication Details

Journal
International Journal Management and Economic
Published
2024-09-02
DOI
https://doi.org/10.56127/ijme.v3i3.1655
Citations
1
Primary Topic
Environmental Sustainability in Business
Type
article
Field-Weighted Citation Impact
0.44
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

UNDERSTANDING GREEN CONSUMERS: A BIBLIOMETRIC ANALYSIS OF ENVIRONMENTAL ATTITUDE AND GREEN PURCHASE BEHAVIOR

Prawita Megatama, Retno Widowati, Siti Dyah Handayani
1 citations
International Journal Management and Economic
Environmental Sustainability in Business
0.44
article

UNDERSTANDING GREEN CONSUMERS: A BIBLIOMETRIC ANALYSIS OF ENVIRONMENTAL ATTITUDE AND GREEN PURCHASE BEHAVIOR

Prawita Megatama, Retno Widowati, Siti Dyah Handayani
article en
1 citations

Abstract

This study conducts a bibliometric analysis of research on green purchase behavior from 2017 to 2023, utilizing data from the Scopus database. A total of 355 articles were selected and analyzed to identify trends in consumer behavior towards environmentally friendly purchases. The findings reveal a significant increase in publications, with a peak anticipated in 2023, indicating a growing interest in the intersection of consumer behavior and environmental sustainability. Key contributors to the field include prolific authors and journals, with China emerging as the leading country in terms of published research. The analysis highlights the critical role of positive environmental attitudes in fostering pro-environmental behaviors, such as the purchase of green products. Additionally, the study identifies factors influencing this relationship, including perceived consumer effectiveness and the need for effective educational strategies. The results underscore the importance of understanding consumer motivations and behaviors to inform marketing strategies and enhance sustainability initiatives. This research contributes to the literature by providing a comprehensive overview of the current state of green purchase behavior research and suggesting avenues for future inquiry.

International Journal Management and EconomicVol. 3(3)
Life in Land
Openalex Percentile: Top 24%
Environmental Sustainability in Business
0.44
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.