TY - JOUR
T1 - Mapping the Terrain of Open Innovation in Consumer Research: Insights and Directions from Bibliometrics
AU - Siriwong, Chukiat
AU - Pongsakornrungsilp, Siwarit
AU - Pongsakornrungsilp, Pimlapas
AU - Kumar, Vikas
PY - 2024/7/18
Y1 - 2024/7/18
N2 - Mapping the Landscape of Open Innovation in Consumer Research: Insights and Directions from Bibliometrics examines how publications in the fields of consumer behavior research (Cons) and open innovation (OI) have developed over time. Terms that frequently appear together are explored to elucidate potential future research directions and thematic areas that influence academic writing. Bibliometric maps are created using VOSviewer v1.6.19, and 184 publications are analyzed using high-quality metadata and citation information from the Scopus database. The findings highlight patterns in publications, networks of citations, dynamics in collaboration, and future directions for Open Innovation and Consumer research. Co-word analysis is applied to extract data, and publication density analysis is used to identify popular terms. Eighty-two authors are represented in the dataset, and author collaborations are highlighted through co-citation analysis. The study concludes by outlining potential directions for future research based on component-based, keyword, and publication analyses.
AB - Mapping the Landscape of Open Innovation in Consumer Research: Insights and Directions from Bibliometrics examines how publications in the fields of consumer behavior research (Cons) and open innovation (OI) have developed over time. Terms that frequently appear together are explored to elucidate potential future research directions and thematic areas that influence academic writing. Bibliometric maps are created using VOSviewer v1.6.19, and 184 publications are analyzed using high-quality metadata and citation information from the Scopus database. The findings highlight patterns in publications, networks of citations, dynamics in collaboration, and future directions for Open Innovation and Consumer research. Co-word analysis is applied to extract data, and publication density analysis is used to identify popular terms. Eighty-two authors are represented in the dataset, and author collaborations are highlighted through co-citation analysis. The study concludes by outlining potential directions for future research based on component-based, keyword, and publication analyses.
UR - https://www.open-access.bcu.ac.uk/15905/
U2 - 10.3390/su16156283
DO - 10.3390/su16156283
M3 - Article
VL - 16
JO - Sustainability
JF - Sustainability
IS - 15
ER -